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Transform Your Mental Health With Diet & Lifestyle | Dr. Chris Palmer


Chapters

0:0 Dr. Chris Palmer
2:15 Integrating Metabolic, Mental & Physical Health; Childhood Trauma & Risk
10:46 Sponsors: Our Place & LMNT
13:44 Depression Causes, Molecule Model?, Neuroplasticity?; Metabolism
22:20 Mitochondrial Functions, Stress Response, Mental Health
31:9 Sponsors: AG1 & Eight Sleep
33:59 Mitochondrial Health & 6 Pillars of Lifestyle Medicine
39:38 Stimulants, Mitochondria, Dopamine; Alcohol
45:47 Nicotine; Substance Use, Metabolic Health & Disease
52:23 Children, Energy & Metabolic Function; Diseases of Aging & Mental Disorders
59:18 Sponsor: Function
61:6 Diet & Metabolism; Ultra-Processed Foods, Additives, GRAS
69:30 Rebellious Spirit, Ultra-Processed Foods & Food Industry Funding
79:14 Ketogenic Diet, Epilepsy, Schizophrenia, Bipolar
82:52 Ketogenic Diet, Fasting & Mitochondria; Gut Microbiome, Brain Metabolism
90:6 Low-Fat Diets; Tool: Occasional Fasts; Ketogenic Diet; Intermittent Fasting
98:40 Nutrition Research, Food Industry Lobbyists; Ultra-Processed Foods, Addiction
106:55 Creatine & Mitochondrial Health
112:34 Methylene Blue & Mitochondria; Serotonin Syndrome
122:58 Urolithin A, Mitochondria Function; Supplements & Appropriate Use
131:14 Vitamin Deficiencies, Iron Deficiency
136:6 Vitamin B12 & Folate Deficiency, Autoimmune Disorders
144:48 Mental Illness & Root Causes
149:2 Vaccines, Inflammation, Mitochondria, Autism
159:17 Neurodevelopmental Disorder Onset & Follow-Up
165:31 Vaccines, Autism, Future Research; Mother Obesity & Diabetes
171:23 Father Obesity & Autism; Poor Metabolic Health, Blood Biomarkers
176:44 Assessing Metabolic Health & Biomarkers; National Institutes of Health (NIH)
182:59 Future Directions, Bridging Mental & Physical Health
189:27 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter

Whisper Transcript | Transcript Only Page

00:00:00.000 | Welcome to the Huberman Lab Podcast, where we discuss science and science-based tools for everyday life.
00:00:05.700 | I'm Andrew Huberman, and I'm a professor of neurobiology and ophthalmology at Stanford School of Medicine.
00:00:14.700 | My guest today is Dr. Chris Palmer.
00:00:16.840 | Dr. Chris Palmer is a psychiatrist and researcher at Harvard University.
00:00:21.020 | He focuses on how metabolic health, and mitochondrial health in particular,
00:00:25.500 | can be leveraged to treat, and in some cases cure, psychiatric disorders, including schizophrenia, autism, depression, bipolar, and ADHD.
00:00:34.220 | Today, we discuss how metabolic health, something we hear a lot about nowadays, is really about mitochondrial health
00:00:40.400 | and the specific lifestyle and other factors that you can use to improve mitochondrial number and function.
00:00:45.940 | We talk about things like exercise, sleep, sunlight, which you've heard about before,
00:00:50.120 | but we talk about those from a different perspective,
00:00:52.380 | and we discuss some things that have never been discussed before on this podcast,
00:00:56.160 | at least in light of mitochondrial health, things such as creatine, methylene blue, nicotine,
00:01:02.000 | and we talk about the key role of specific B vitamins and iron in brain function.
00:01:06.220 | We also have a very direct discussion about vaccines and whether or not inflammation caused by vaccines
00:01:11.500 | can potentially damage mitochondria, which then leads to mental health challenges.
00:01:15.460 | And of course, in that context, we discuss the vaccine autism debate.
00:01:19.700 | We also discuss public health and what is needed to truly change the way people exercise and eat
00:01:24.600 | and the rapidly changing landscape of the National Institutes of Health and the CDC.
00:01:28.540 | As you'll soon hear, Dr. Palmer gives us a master class on mitochondrial function
00:01:33.600 | and how to improve this vital aspect of our health.
00:01:36.080 | If you've heard about metabolic health, you've heard about the obesity crisis, that's important,
00:01:40.340 | but looking at all of that and approaching it through the lens of mitochondrial health,
00:01:44.760 | you'll soon learn is absolutely the way to go.
00:01:47.520 | It's a new perspective that will change the way that you think about mental and physical health
00:01:51.540 | and that no doubt will impact your health practices in very positive ways.
00:01:55.660 | Before we begin, I'd like to emphasize that this podcast is separate from my teaching and research roles at Stanford.
00:02:00.880 | It is, however, part of my desire and effort to bring zero cost to consumer information about science
00:02:05.920 | and science-related tools to the general public.
00:02:08.340 | In keeping with that theme, this episode does include sponsors.
00:02:11.700 | And now for my discussion with Dr. Chris Palmer.
00:02:15.140 | Dr. Chris Palmer, welcome back.
00:02:18.120 | Thank you so much for having me back.
00:02:20.260 | I credit you with leading the call to arms, the public awareness, and the implementation of what some people call metabolic psychiatry,
00:02:30.820 | but what we could easily just call the relationship between mental and physical health
00:02:36.740 | and the use of nutrition, supplementation, and where appropriate, prescription drugs for the treatment of mental health.
00:02:45.420 | But what do you call this field that you've basically founded and that you're pioneering?
00:02:51.020 | There are others, right, but that you're pioneering.
00:02:54.260 | And how should the general public think about the relationship between mitochondria and their mental health?
00:02:59.900 | For those that are not aware, educate us.
00:03:03.260 | I could talk for hours on this.
00:03:05.540 | So first of all, thank you for – I think you're actually giving me way too much credit, though.
00:03:12.040 | I don't know about that.
00:03:14.480 | I'm talking a lot about it, and I think I will accept that maybe I'm able to talk about it in a way that helps people understand it,
00:03:22.660 | that other scientists haven't been able to.
00:03:25.180 | But, you know, one of the more important reasons I want to say this is because, unbeknownst to a lot of people,
00:03:33.900 | this field has actually been around for about a century and a half.
00:03:39.220 | Researchers in the 1800s, around the turn of the century, well up into the 1960s, were hyper-focused on the role of metabolism in severe mental illness.
00:03:50.940 | Schizophrenia, bipolar disorder, they were actually measuring levels of lactate and glucose and other kind of metabolic biomarkers in people with schizophrenia and bipolar disorder,
00:04:03.020 | documenting differences, really kind of honing in on these metabolic disruptions is potentially the cause of mental illness.
00:04:14.720 | And then our field lost its way.
00:04:17.380 | We became focused on neurotransmitters and assumed that they were the primary cause of mental illness,
00:04:25.960 | while other fields were focused on psychological and social factors.
00:04:31.560 | You know, we got cognitive behavioral therapy, we still had psychodynamic psychotherapy,
00:04:36.000 | but people were doing research on adverse childhood experiences.
00:04:40.520 | That was really taking off, documenting that that's related.
00:04:44.340 | And so, you know, the field kind of splintered into these biological, psychological, social camps.
00:04:52.920 | And people really hyper-focused in all of these ways.
00:04:56.640 | To me, this field of integrating metabolism with mental health, with physical health,
00:05:06.740 | is about unifying that whole story.
00:05:11.280 | It's about unifying and building on what these researchers a hundred years ago were pursuing.
00:05:20.080 | It's about integrating the biological, psychological, and social camps.
00:05:24.660 | It's about putting it all together and stop being so reductionistic and simplistic
00:05:31.300 | to suggest that it's all biological or it's all psychological or it's all social,
00:05:36.320 | and that if it's one, it can't be the other.
00:05:39.160 | It can be all of them.
00:05:40.400 | And it's different combinations for different people.
00:05:44.940 | So, in many ways, I'm just standing on the shoulders of giants who have done groundbreaking work
00:05:54.100 | to create the science that allows us to put this all together.
00:05:57.700 | With that said, I do firmly believe that we are on the cusp of a revolutionary change
00:06:09.380 | in the paradigm of the mental health field, of how we think about mental illness.
00:06:15.540 | You know, there are myriad biological things.
00:06:21.120 | The psychological and social things are all obvious and true.
00:06:25.440 | Yes, stress, trauma, loneliness, adverse childhood experiences, all of those things come together.
00:06:32.600 | Our field is long known that all of those things play a role in mental illness.
00:06:36.220 | Exactly which mental illnesses?
00:06:38.640 | It's essentially all of them.
00:06:40.420 | Every one of the labels in DSM-5 can be impacted by biological, psychological, and social factors.
00:06:49.680 | So, trauma and childhood increases risk for post-traumatic stress disorder.
00:06:55.740 | Everybody knows that.
00:06:56.840 | Trauma and childhood also increases risk for neurodevelopmental disorders if it occurs early enough.
00:07:04.320 | It increases risk for substance use disorders, personality disorders, psychotic disorders,
00:07:10.440 | mood disorders, anxiety disorders, dementia later in life, and everything else.
00:07:16.860 | Every label.
00:07:19.580 | What else do adverse childhood experiences increase risk for?
00:07:23.000 | All of the metabolic disorders.
00:07:25.560 | Obesity, type 2 diabetes, cardiovascular disease, autoimmune disorders, premature mortality.
00:07:32.420 | You know, we have statistics that, just sticking with that theme, adverse childhood experiences.
00:07:39.140 | If you have six or more adverse childhood experiences, compared to somebody who has no adverse childhood experiences,
00:07:47.780 | Now, that's a rare group, granted.
00:07:50.060 | But for the people who have six or more, on average, they live 20 years shorter.
00:07:57.180 | They lose 20 years of life because of those adverse childhood experiences.
00:08:05.080 | And so, is that a mental health issue?
00:08:07.500 | I would say it's a physical health issue.
00:08:09.780 | It's both.
00:08:11.540 | It's both a mental health issue and a physical health issue.
00:08:14.360 | And so, how can we understand that?
00:08:15.820 | How can we understand that trauma in childhood increases risk for heart disease, and obesity, and diabetes, and dementia, and PTSD, and ADHD, and ADHD, and substance use disorders,
00:08:30.340 | And the only way to connect it is through metabolism, and ultimately through mitochondria.
00:08:37.840 | Unfortunately, people like simple answers, and they're like, so diet will fix everything.
00:08:43.140 | I'm like, no, I never said diet will fix everything.
00:08:45.260 | But it can help.
00:08:46.620 | And it can be life-changing and life-saving.
00:08:51.740 | I don't want to minimize or step back from my work with dietary interventions.
00:08:59.440 | There is no doubt in my mind it can dramatically change people's lives.
00:09:06.480 | But it's not just diet.
00:09:08.760 | It's lots of other things.
00:09:10.900 | And so, it's putting it together and trying to make sense of the science for what does cardiovascular disease have to do with depression or PTSD.
00:09:21.180 | On the surface, a lot of people scratch their heads, and they really don't know.
00:09:26.320 | They assume that, well, one's a brain disorder and one's a heart disorder.
00:09:30.320 | And it's like, no, we need to integrate that because all of the risk factors, essentially the same biopsychosocial risk factors that increase risk for heart disease also increase risk for brain disease.
00:09:45.720 | And we need to start putting it together.
00:09:48.760 | We need to be more sophisticated.
00:09:50.100 | We have computers.
00:09:51.380 | We have AI.
00:09:52.060 | It's 2025.
00:09:52.780 | We can do better.
00:09:54.740 | Yes, well, first of all, I, and I'm sure the listeners, really appreciate your humility regarding who's responsible for the big surge in the interest in this field.
00:10:05.640 | So, thanks for crediting your predecessors and the others in the field.
00:10:10.300 | At the same time, I credit you with really popularizing a lot of these terms, being willing to go public-facing and share about metabolic psychiatry, for lack of a better way to put it, metabolic psychiatry.
00:10:24.720 | And really championing these ideas and being open to being part of a medical and science and public discourse community.
00:10:33.980 | So, I'd be remiss if I didn't say that.
00:10:36.840 | So, hopefully you'll take that in.
00:10:38.060 | And if you won't, then-
00:10:39.400 | I very much appreciate it.
00:10:40.960 | Well, it's true.
00:10:41.860 | Thank you very much.
00:10:42.600 | It's true.
00:10:43.040 | And I'm not alone in that sentiment.
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00:13:44.720 | If I think about a mental health condition like depression, let's take depression to start off.
00:13:52.580 | I can just broadly create two, you know, columns of things or approaches that one might take.
00:14:01.900 | One is this mental model of sort of a molecule deficiency.
00:14:06.460 | Like, I'm not saying this, but there are many who at one point thought depression is related to a deficiency in serotonin,
00:14:14.680 | or depression is related to a deficiency in dopamine, either levels, regulation, enzymatic control,
00:14:21.720 | whatever the level of control.
00:14:25.340 | Just this idea that these molecules are somehow lacking, if you put them back, you can relieve some symptoms of depression.
00:14:33.580 | The other column that comes to mind for me, having looked at the data on cognitive behavioral therapy,
00:14:41.900 | on the data on psychedelics in the clinical setting for the treatment of depression, SSRIs, and other so-called antidepressants,
00:14:50.700 | is this notion of neuroplasticity, the idea that neural circuits can change,
00:14:54.400 | and that neural circuits control our sense of well-being, our perception of self, perception of others, feelings of agency, et cetera.
00:15:01.000 | And it's now very clear that if you change levels of neuromodulators, like dopamine, like serotonin,
00:15:07.520 | you don't necessarily cure depression, but you open a window for plasticity,
00:15:15.100 | and then perhaps the therapy that you're doing can modify brain circuits more robustly.
00:15:19.680 | So I think in terms of molecule deficiency, maybe it's a vitamin deficiency, a neuromodulator deficiency,
00:15:25.340 | and then I also think about plasticity, that these treatments are just allowing for more brain change,
00:15:30.820 | more rapidly.
00:15:31.400 | What other columns would you add to that picture?
00:15:35.040 | And perhaps first, do you think that picture is woefully inadequate or just partially inadequate?
00:15:43.440 | Because I think this is the way most people think about the treatment of mental health.
00:15:46.920 | They think, oh, there's something missing.
00:15:48.100 | You take a drug and you get that thing back.
00:15:50.400 | And then like ADHD, you don't have enough dopamine or you put it in,
00:15:54.960 | and then all of a sudden attentional circuits work better.
00:15:56.940 | This kind of thing versus plasticity, which is the modification of those circuits.
00:16:01.820 | And the two things are not mutually exclusive, but I think until now there really hasn't been a clear understanding
00:16:08.920 | that there are other columns for mechanistic change in mental health.
00:16:14.240 | I would say the concept of metabolism, metabolic regulation, mitochondrial function, mitochondrial health,
00:16:26.240 | actually is an umbrella concept for everything you've just said.
00:16:32.160 | It's an umbrella concept for, well, how do we create neurotransmitters?
00:16:37.700 | Where do these neurotransmitters come from?
00:16:39.760 | What regulates their production, release from cells?
00:16:45.020 | And then even to go further, what impact do those neurotransmitters have on other cells?
00:16:51.600 | They are largely regulating brain metabolism.
00:16:56.520 | And the way we usually think about it is they are regulating brain activity.
00:17:02.540 | But if you ask the question, well, what is brain activity?
00:17:05.760 | Brain activity is either, it's fueled by metabolism.
00:17:10.940 | A neuron cannot be active unless it has the capacity to increase its ATP kind of production.
00:17:21.640 | And then when you suppress a neuron, when you inhibit its function, the ATP production goes down.
00:17:30.860 | So whether you want to think of metabolism as just a consequence of neural activity,
00:17:34.840 | I actually think about it as an integral part of neural activity.
00:17:39.300 | It's kind of like your car can't go without the engine.
00:17:43.260 | A cell can't go without mitochondria.
00:17:46.940 | A cell can't do what it's supposed to do without mitochondria.
00:17:50.700 | The other concept that you mentioned, neuroplasticity.
00:17:54.020 | Neuroplasticity is all about energy and metabolic resources to create new connections.
00:18:02.580 | New neural connections between axons, dendrites, somas, other aspects of neurons and cells and other types of cells, astrocytes, oligodendrocytes.
00:18:19.180 | But in order to get neuroplasticity, neuroplasticity implies growth and modulation and even pruning.
00:18:27.880 | But it involves change.
00:18:29.860 | And in order for a living organism to change, that requires this foundational concept of metabolism.
00:18:40.060 | Now, on the surface, to a lot of people, that sounds too abstract.
00:18:43.160 | And it sounds like, well, that's ridiculous then.
00:18:45.300 | If you're saying that metabolism is everything in biology.
00:18:48.080 | And I kind of am.
00:18:48.960 | Of course it is.
00:18:49.760 | You can't talk about biology without talking about metabolism.
00:18:54.340 | But when you talk about metabolic health, it becomes much more concrete, pragmatic, and real with real tools that you talk about all of the time on this podcast.
00:19:10.700 | Exercise promotes metabolic health.
00:19:15.840 | Exercise promotes neuroplasticity.
00:19:21.180 | They are inseparable.
00:19:22.800 | You can't improve your metabolic health without also at least opening up the opportunity for neuroplasticity.
00:19:31.680 | Improving your diet does the same thing.
00:19:35.880 | Sleep or lack thereof can impact this.
00:19:40.500 | Substance use can impact this.
00:19:44.280 | And so, you know, in a way, it basically says, let's connect all of the dots.
00:19:49.960 | Let's not hyper-focus on serotonin and a serotonin imbalance or deficiency as the singular cause of depression.
00:19:57.840 | Because for those of you who don't know, that is ridiculously reductionistic.
00:20:04.260 | And it is absolutely not true.
00:20:08.500 | We know that.
00:20:09.220 | We know that with certainty now.
00:20:10.980 | You know, the whole serotonin hypothesis of depression came about not because researchers identified serotonin deficits in the brain.
00:20:25.000 | That entire concept came from the observation that medications that modulate serotonin activity or inhibit its reuptake into neurons,
00:20:40.340 | those medications, SSRIs, other types of antidepressants, those medications can reduce the symptoms of depression in some people.
00:20:51.620 | That was just a purely serendipitous finding.
00:20:58.160 | It was serendipity.
00:21:01.440 | The first antidepressant was actually a tuberculosis treatment.
00:21:05.800 | They were giving it to patients on a tuberculosis ward.
00:21:11.460 | And an astute infectious disease doctor noticed some of these patients are really depressed.
00:21:18.980 | But when I give them this tuberculosis treatment, they perk up.
00:21:24.860 | Within a few weeks, they start looking a lot less depressed.
00:21:28.580 | And I don't think it's a coincidence.
00:21:30.840 | I think it's the medication I'm giving them.
00:21:33.600 | Do you recall what the drug was?
00:21:35.680 | It's the first MAO inhibitor.
00:21:38.200 | And I could be saying the name wrong, but it's the first MAO inhibitor.
00:21:42.740 | And that became the first antidepressant.
00:21:48.380 | Which makes sense.
00:21:50.460 | MAO inhibitors inhibit the enzymes that break down.
00:21:55.240 | Or let's just speak about these enzymes broadly.
00:21:57.400 | I think most antidepressant drugs or treatments for ADHD, typical prescription treatments, either reduce the breakdown of neuromodulators like serotonin, dopamine, acetylcholine, depending on which one we're talking about.
00:22:11.200 | Or they reduce the reuptake so that there's just more neuromodulator around for longer.
00:22:19.380 | Tell us about mitochondria in the framework of mental health.
00:22:24.500 | So most people know mitochondria as the powerhouse of the cell, if they know it at all.
00:22:29.780 | So these tiny little organelles.
00:22:32.120 | And the powerhouse of the cell reference means that mitochondria take the breakdown products of the food that we're eating.
00:22:42.020 | They are the primary thing using the oxygen that we're breathing in.
00:22:46.920 | They are creating the carbon dioxide that we're breathing out.
00:22:50.600 | And that they are turning food into ATP, which is the energy currency of the cell.
00:22:56.940 | So they're taking food and oxygen and lots of other things.
00:23:00.960 | But let's just simplify.
00:23:02.320 | Food and oxygen, converting it into ATP.
00:23:06.840 | And that is what the powerhouse of the cell kind of refers to.
00:23:11.320 | There is no doubt they do that.
00:23:13.700 | There is no doubt that when that process stops, humans have about six minutes or so, and then we're dead.
00:23:20.900 | That process is critical to life.
00:23:26.160 | There is no other process in the human body that you can disrupt that will kill the organism faster.
00:23:33.520 | It is central to living organisms, this production of ATP.
00:23:38.980 | So I don't at all mean to take away or minimize that function.
00:23:44.460 | But research over the last 25 years has completely upended that simplistic notion of what mitochondria are doing.
00:23:52.880 | They are actually doing so much more.
00:23:55.740 | Some people have created the reference that mitochondria are like the workers inside a cell.
00:24:00.780 | That in order for a cell to work, you need a workforce.
00:24:05.260 | Because there's so much that needs to be done.
00:24:08.000 | Signals need to be sent.
00:24:10.200 | Like all this work, all of these different things need to be functioning.
00:24:15.740 | And mitochondria are absolutely providing the energy for those things to happen.
00:24:21.360 | But they're also orchestrating a lot of it.
00:24:24.460 | So for example, they play a direct role in converting food into some of the substrates for the production of neurotransmitters.
00:24:34.140 | And that plays a role in GABA in GABA's release from a neuron.
00:24:48.180 | They actually go to the cell membrane and move along the membrane, dispensing vesicles of neurotransmitters.
00:24:59.420 | And when you take the mitochondria away from the synapse, but provide that synapse with ATP, vesicles don't get released.
00:25:12.900 | Those neurotransmitters aren't getting released.
00:25:14.500 | The mitochondria are doing more.
00:25:16.500 | We don't exactly know what.
00:25:18.580 | But they're doing more than just providing the energy.
00:25:21.720 | They play a role in turning inflammation and immune cells both on and off.
00:25:30.620 | They play an instrumental role in both the first and the last step in the synthesis of cortisol.
00:25:49.660 | And they play a role in the first step in the synthesis of all of the steroid hormones, which include estrogen, testosterone, progesterone.
00:25:58.460 | So that if you have dysregulation of testosterone or estrogen or progesterone, you must understand the role of mitochondria in that dysregulation because they are critical in the production and release of these hormones.
00:26:21.040 | They are the primary regulator of epigenetics.
00:26:26.460 | So epigenetics are the expression of genes from the cell nucleus.
00:26:30.700 | And researchers have long known that that's related to levels of reactive oxygen species.
00:26:36.140 | It's related to levels of calcium.
00:26:39.200 | It's related to other cell signals.
00:26:41.520 | Those cell signals are mostly originating within mitochondria during the development of any cell.
00:26:48.880 | Mitochondria, they are like a universe unto themselves.
00:26:53.180 | And there's so much we don't know about them.
00:26:55.020 | But what researchers have found is that mitochondria actually line up, literally line up in an organized fashion around the cell nucleus and take on different conformations.
00:27:08.700 | And that is somehow sending signals to the genes to result in the expression or the suppression of different genes from the nucleus.
00:27:22.320 | And that when researchers take these mitochondria and like mess them up or something, the cell doesn't develop normally.
00:27:29.480 | You know, they've been implicated in all of the phases of the human stress response to psychological stress.
00:27:37.560 | So that includes cortisol release, noradrenaline release.
00:27:42.580 | It includes inflammation.
00:27:44.800 | And it includes epigenetic changes.
00:27:48.000 | So those are kind of the four buckets of the human stress response.
00:27:52.320 | Cortisol, adrenaline, inflammation, and epigenetic changes.
00:27:59.840 | And researchers actually manipulated mitochondrial genes, two genes in the cell nucleus that control for mitochondrial proteins and two genes in mitochondria themselves.
00:28:12.520 | And by manipulating these four different genes, one at a time in mice, they could impact all of the four aspects of the stress response.
00:28:25.660 | And so what that means is that mitochondria are somehow involved in regulating the human stress response.
00:28:33.740 | And so the way that I think about it is that, and the way that many researchers actually think about it now,
00:28:43.140 | is that mitochondria, you know, there are hundreds, sometimes thousands of them in our cells, in each of our cells.
00:28:53.020 | Most neurons have thousands of mitochondria.
00:28:56.640 | The mitochondria are actually moving around.
00:29:00.020 | They use the cytoskeleton to move around the cell.
00:29:03.620 | They fuse with each other.
00:29:05.220 | It's called mitochondrial dynamics.
00:29:09.260 | They, like, change shape.
00:29:11.360 | They do all sorts of things.
00:29:12.880 | And again, that impacts all of these signaling processes.
00:29:16.980 | But that's just within one little cell.
00:29:19.900 | So you can think of one cell as, like, almost a village of mitochondria.
00:29:25.220 | That they're all just doing different things and working together to help that cell function.
00:29:31.180 | But in fact, when you think about hormones like cortisol,
00:29:36.040 | you can think about it as a way for mitochondria in one cell to produce cortisol,
00:29:41.240 | that they can get sent to mitochondria in another cell to make that other cell do something,
00:29:47.340 | to either increase its activity or decrease its activity.
00:29:52.380 | Some people actually think about human cells as just a network of mitochondria.
00:29:58.440 | All kind of mitochondria throughout the body and brain are just doing all sorts of things.
00:30:07.840 | And at the end of the day, we come back to just common sense.
00:30:12.040 | At the end of the day, it's about helping the organism adapt and survive.
00:30:16.020 | Ultimately, organisms, rule number one, they need to survive.
00:30:22.560 | Rule number two, they need to reproduce.
00:30:25.960 | And rule number three, they need to adapt.
00:30:30.200 | And mitochondria are playing a foundational role in all of those basic aspects of organismal survival.
00:30:39.900 | And again, to some people, well, that's so high level.
00:30:44.060 | That's like what you're saying.
00:30:45.360 | It's everything.
00:30:45.920 | I'm like, yeah, it kind of is.
00:30:47.840 | And mental health falls under it.
00:30:50.320 | How could we think about mental health without thinking about the big picture?
00:30:54.680 | Let's start with the big picture, and then let's put health into it.
00:31:00.480 | And let's put the lack of adaptation, or the lack of survival, or these other things.
00:31:08.700 | I'd like to take a quick break and thank our sponsor, AG1.
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00:31:17.080 | I've been taking AG1 daily since 2012, so I'm delighted that they're sponsoring this podcast.
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00:33:59.480 | What are some of the things that we know can improve mitochondrial health, either number, function, or otherwise?
00:34:07.700 | And maybe we can talk about the basics first and get a little bit granular, if you could, about, you know,
00:34:13.160 | what are the prescriptions for keeping your mitochondria healthy or improving your mitochondrial number and improving their function?
00:34:18.800 | And then we can transition from there to the more, let's just say, the more advanced ways of doing that.
00:34:28.160 | Is there a role for supplementation?
00:34:30.820 | Is there a role for drugs?
00:34:32.440 | Is there, you know, these days where I hear about urolithin A, because I'm a little bit of an adventurer these days,
00:34:38.340 | and I'm turning 50 later this year, I decided to experiment with a peptide that is SR31,
00:34:44.160 | which is specifically to improve mitochondrial function.
00:34:46.880 | And I'm doing this with the full understanding.
00:34:49.120 | It may do nothing or it may kill me.
00:34:50.580 | I don't know.
00:34:51.080 | But we'll find out.
00:34:52.500 | But someone had to do it.
00:34:54.420 | And I'm a one variable at a time kind of guy.
00:34:57.660 | So it was important for me to stay with my current regimen and only change that, do blood work, et cetera,
00:35:04.960 | because a lot of people, some people out there are more in the mode of trying to do a bunch of things.
00:35:10.620 | And I don't think that's as helpful to me.
00:35:12.740 | It's also just not.
00:35:13.760 | It's not in keeping with my nature.
00:35:15.660 | You're a scientist.
00:35:15.860 | I'm a scientist.
00:35:16.280 | One variable at a time.
00:35:17.340 | You're a scientist.
00:35:17.340 | That is great.
00:35:18.000 | That's right.
00:35:18.240 | I'm monogamous with respect to variables.
00:35:20.180 | Right.
00:35:20.760 | So what can we do at a basic level to keep and improve our mitochondrial number and function?
00:35:27.380 | And if we have to hit on some of the usual suspects, fine.
00:35:30.600 | But if you could tell us how we can do this.
00:35:34.540 | So I'm really going to start with the basics and they're going to sound cliche and they're going to sound too basic to most people.
00:35:41.700 | And I just want to set the stage for even for severe mental illness.
00:35:46.760 | We can talk about strategies that will work.
00:35:49.500 | And these strategies that I'm going to describe are not really appropriate.
00:35:53.520 | Like when somebody becomes severely ill, these strategies may not be sufficient.
00:35:58.500 | But the basics are what we call the field of lifestyle medicine.
00:36:03.200 | So there are six pillars of lifestyle medicine.
00:36:06.660 | They include diet, nutrition, exercise or movement, sleep, managing substance use, ideally reducing it or minimizing it or eliminating it, stress reduction practices, mindfulness, meditation, yoga.
00:36:28.760 | And the last one is relationships.
00:36:32.140 | I throw in the word purpose into relationships because I think even if you don't have a lot of friends or family, you can still have a very full thriving life if you have a purpose.
00:36:46.240 | So those are the six pillars.
00:36:48.520 | Unfortunately, this is where the cliches and the worthless advice begin, especially in the diet nutrition camp.
00:36:57.620 | Because people will say, eat more plants, eat some broccoli, have some good blueberries.
00:37:02.700 | Blueberries have antioxidants.
00:37:04.180 | Have some blueberries on whatever else you're eating and everything will be fine.
00:37:11.020 | If you just add a couple of servings of blueberries a week, you'll improve your health.
00:37:16.840 | Brain food.
00:37:17.740 | And it is such worthless advice.
00:37:20.540 | It is not at all that simple.
00:37:23.040 | And so I think diet nutrition gets complicated fast.
00:37:29.300 | The other things are actually pretty straightforward.
00:37:32.000 | Should you move your body?
00:37:35.040 | Should you stress your body intermittently, allowing for full recovery?
00:37:45.680 | That's what most people call exercise.
00:37:47.480 | And what are you doing when you exercise?
00:37:50.320 | You're actually, if we look at like the muscles, for example, muscle tissue, what exactly does exercise do?
00:37:58.800 | Whether it's isometric exercise to increase the size of the muscle, or whether it's endurance capacity, which actually does not change the size of the muscle at all, but allows for somebody to run longer, faster, harder.
00:38:16.280 | So marathon runners, for example, can be quite thin.
00:38:19.020 | You can look at a marathon runner and think you're not even an athlete.
00:38:22.000 | They don't look all that different, yet they can run sometimes a hundred miles.
00:38:28.840 | And what makes their muscles different than my muscles?
00:38:33.440 | Because I can't run a hundred miles.
00:38:34.640 | Me either.
00:38:35.100 | What makes their muscles different than mine?
00:38:38.700 | Even if the size isn't different, there is one and only one thing that makes their muscles different, and it's called mitochondria.
00:38:44.260 | The number?
00:38:44.960 | The number of mitochondria, and almost certainly the health of mitochondria.
00:38:49.020 | You can actually take a biopsy of their muscle, and you will see a much higher density of mitochondria in their muscle tissue than you will in mine.
00:38:57.160 | If you actually then did a more thorough assessment of ATP capacity, their muscles or their mitochondria would be much healthier than mine.
00:39:08.660 | Their mitochondria would have greater capacity for ATP production than my mitochondria would.
00:39:15.040 | So that's exercise.
00:39:17.760 | There are lots of things you can do with exercise.
00:39:20.260 | For people who don't exercise at all, yes, get out and just walk.
00:39:23.640 | Just do something.
00:39:24.800 | Maybe get some sunlight in the morning while you're at it.
00:39:28.060 | That sounds like a good idea.
00:39:29.360 | The substance use is obvious.
00:39:35.960 | It's the thing.
00:39:36.520 | You've been talking about it.
00:39:37.640 | I've been talking about it.
00:39:38.620 | Which substances deplete mitochondria?
00:39:40.520 | I've been very interested in this.
00:39:41.880 | I'm a big lover of certain genres of music, and whenever the topic of music comes up, the name Rick Rubin comes up because he's been on this podcast twice.
00:39:54.020 | He's the famous Rick Rubin, amazing producer, and I'm blessed to have him as a close friend.
00:39:58.280 | And I often ask Rick, I'm like, why are so many of these folks in music dead?
00:40:04.300 | There seems to be a history of people who did stimulants.
00:40:10.440 | It took a lot of stimulants, cocaine and amphetamine in particular.
00:40:13.660 | Musicians that did that in the 70s and 80s and 90s seemed to drop dead of heart attacks later when they were not currently using, as far as we know, those stimulants.
00:40:26.980 | Is it the case that stimulants like cocaine and amphetamine deplete cells of mitochondria?
00:40:34.500 | Do we know that to be true?
00:40:36.240 | We do know, and it's a slightly more complex story.
00:40:40.760 | So it's all about the dose.
00:40:43.060 | So stimulants are used to treat ADHD.
00:40:48.180 | And we know that people, we've known for decades, people who have ADHD, who have symptoms of ADHD, have glucose hypometabolism in their brains.
00:41:00.240 | So their brains are not producing enough ATP from glucose.
00:41:06.740 | What is one way to increase that?
00:41:09.600 | Dopamine.
00:41:10.820 | Dopamine will increase that so you can give people stimulants to improve their brain metabolism enough so that they now no longer have symptoms or at least have a reduction in their symptoms.
00:41:26.320 | That story is unequivocally true.
00:41:29.360 | We have lots of animal data, human neuroimaging data, clinical research studies documenting that appropriate doses of stimulants, so that's usually low-ish doses, can improve brain metabolism.
00:41:47.420 | And what that means is that they're actually stimulating mitochondria to produce more ATP.
00:41:52.520 | However, metabolism is all about balance.
00:41:58.980 | You can underdo it, you can underdo it, and you can overdo it.
00:42:01.760 | And when you overdo it, what happens is that if you hyper-stimulate mitochondria with high doses of stimulants, the mitochondria are essentially running on all cylinders, and electrons start leaking out of the electron transport chain.
00:42:20.720 | And what happens is then damage the mitochondria with high doses of stimulants, and it can lead to chronic mitochondria, chronic metabolic dysfunction, which then damage the mitochondria themselves and damage other aspects of the cell.
00:42:31.500 | And it can lead to chronic mitochondrial dysfunction, chronic metabolic dysfunction.
00:42:39.500 | It's challenging with stimulants.
00:42:42.280 | Because people are looking for a yes or no answer.
00:42:44.700 | So, Dr. Palmer, do you think stimulants are good or bad?
00:42:47.860 | I don't have an answer to that.
00:42:50.720 | It depends on the person.
00:42:52.300 | It depends on the dose of stimulants.
00:42:54.180 | It depends on the type of stimulant.
00:42:56.900 | It depends on what impact it's having on that person.
00:43:00.180 | But we need to open our minds to the possibility that, yes, maybe some people do benefit from stimulants.
00:43:07.780 | And maybe, at the same time, other people are harmed in catastrophic ways by stimulants.
00:43:14.880 | And it can all be linked through mitochondrial mechanisms.
00:43:20.820 | It can certainly be linked through dopamine.
00:43:22.660 | But, again, we have to ask, well, what is that dopamine doing to the target cells?
00:43:28.140 | That when dopamine gets released and connects with a dopamine receptor, what happens to that target cell, it changes the metabolism of that target cell.
00:43:41.280 | It increases the activity of that target cell.
00:43:44.260 | So, stimulants are one.
00:43:46.200 | Back to this bigger kind of lifestyle medicine picture.
00:43:49.720 | Stimulants are definitely one.
00:43:51.500 | High-dose stimulants, very harmful to human health.
00:43:54.400 | What are some others?
00:43:55.960 | Alcohol.
00:43:56.560 | We've known since the 1960s.
00:44:00.160 | In the 1960s, researchers were trying to figure out, how the hell does alcohol cause cirrhosis?
00:44:06.340 | We knew that.
00:44:08.960 | We've known that.
00:44:09.880 | We've known that for a long time.
00:44:11.800 | Alcoholics develop liver failure.
00:44:14.780 | They develop cirrhosis of the liver, and they can die from it.
00:44:18.820 | How exactly does that happen?
00:44:22.380 | In the 1960s, researchers figured out it's mitochondrial toxicity.
00:44:27.440 | Interesting.
00:44:28.300 | In the liver cells.
00:44:29.660 | That is what's making the liver cells die.
00:44:32.000 | That alcohol gets converted into this molecule called acetaldehyde, which is very toxic to lots of cell parts, but in particular to mitochondria.
00:44:45.000 | Mitochondria are processing this alcohol and other enzymes and kind of other things are trying to detoxify the alcohol.
00:44:54.480 | But at the end of the day, mitochondrial toxicity seems to be a clear route.
00:45:00.740 | When I was doing research on mitochondria for the book, there were over 10,000 published research articles of alcohol and mitochondria.
00:45:15.260 | And I was initially shocked by that, and I wondered, like, what's that about?
00:45:20.440 | Like, that's how I know this 1960s story and everything else is because researchers have been looking at how is it that alcohol can be so toxic?
00:45:31.520 | And the two organs that are most effective are the liver, because that's the primary organ trying to detoxify it, and then the brain.
00:45:40.640 | And why the brain?
00:45:42.200 | Because the brain is highly sensitive to metabolic disruption.
00:45:46.080 | Other substances of abuse, tobacco, the carcinogens in tobacco.
00:45:54.480 | So not nicotine per se.
00:45:55.840 | Do we know if nicotine is depleting mitochondria?
00:45:59.160 | Nicotine is a stimulant for mitochondria.
00:46:02.140 | So again, similar story.
00:46:03.960 | Low doses can be great.
00:46:06.760 | High doses may, in fact, be toxic.
00:46:09.340 | Oh, good.
00:46:09.920 | You've got to get – you've got to find the right balance.
00:46:12.800 | I'm not a big nicotine guy, but lately I've started chewing half of a piece of nicotine gum a few times a week.
00:46:22.460 | So two milligrams to four milligrams, which is very low dose.
00:46:25.840 | A couple of – I would say maybe three, four days a week I'll do that.
00:46:31.280 | And I'm doing it specifically for brain health reasons.
00:46:35.500 | And I have no relationship to any nicotine pouch or gum or anything like that, so I want to be really, like, company.
00:46:40.880 | So I'm doing a little experiment.
00:46:42.920 | And, you know, it's an interesting stimulant because it relaxes you a little bit too.
00:46:47.360 | But I wouldn't want kids to start doing this or people in their 20s or 30s.
00:46:51.320 | Like I said, I'm approaching the fifth floor.
00:46:52.900 | I'm going to be 50 in September.
00:46:54.100 | And I want to do everything I can to hold on to the neurons I've got.
00:46:57.880 | So I think low-level stimulation of perhaps the mitochondria and other – certainly the acetylcholine system with nicotine is a good idea.
00:47:06.980 | But what I see is a lot of people who are taking these pouches that range from anywhere from three milligrams on the low-end dose side all the way up to eight milligrams.
00:47:15.120 | And it is very habit-forming.
00:47:17.940 | People start with one pouch or two pouches a day, and pretty soon they're doing a canister every day or two.
00:47:23.440 | So even the cost, it starts to be a big deal.
00:47:26.940 | But it's pretty incredible.
00:47:28.260 | It was on the Berkeley campus, and I went to a little convenience store near the Berkeley campus recently.
00:47:32.180 | This kid came in, and we started chatting.
00:47:33.920 | He was a podcast fan.
00:47:35.460 | We were chatting, and he was there to buy nicotine pouches.
00:47:39.140 | I said, how many of those do you go through a week?
00:47:40.760 | And he's like, seven or eight.
00:47:42.920 | I was like, really?
00:47:44.020 | He was an engineering student.
00:47:46.100 | But in my years in college, it was always just, you know, some coffee or something.
00:47:51.640 | Yeah, some coffee.
00:47:52.860 | We didn't really have.
00:47:53.780 | I'd stick with coffee.
00:47:54.740 | For the young folks, yeah.
00:47:56.860 | For the young folks?
00:47:57.600 | For the young.
00:47:57.880 | A little bit of coffee.
00:47:59.380 | And again, it's about dose.
00:48:01.520 | And it's about look.
00:48:04.160 | So most things that enhance metabolism quickly can be addictive.
00:48:14.760 | And I think that's the challenge for a lot of people, is that you get that energy right away.
00:48:23.660 | At some point, you acclimate to that substance somewhat, and then you want more.
00:48:32.220 | You want that same increase that you got before.
00:48:40.280 | So it's just important to kind of be mindful that you can overstimulate metabolism mitochondrial function.
00:48:49.760 | And then you start depleting mitochondria.
00:48:51.100 | And then, yeah.
00:48:53.100 | And then you actually, the mitochondria begin producing more reactive oxygen species, which
00:48:58.760 | ends up being detrimental.
00:48:59.820 | So it's like driving your car.
00:49:03.220 | Again, if you think about mitochondria like an engine, it's like an engine of your car.
00:49:09.660 | When you're driving your car on the highway, you don't want to go too slow, and you don't
00:49:15.520 | want to go too fast.
00:49:16.700 | You need to have balance.
00:49:18.180 | And acceleration is costly.
00:49:19.160 | And acceleration is costly, right?
00:49:21.060 | I mean, transmission systems, you know, create this incredible efficiency of being able to
00:49:25.920 | travel at speed with more efficiency, you know, but accelerating is a different thing altogether.
00:49:32.140 | I mean, that's the way that I think about it.
00:49:34.260 | And so somebody who's addicted to drugs and alcohol, for example, they're on a roller coaster
00:49:38.960 | ride of hyper-stimulating their metabolic rate and then trying to suppress that hyper-stimulation
00:49:46.800 | with sedatives so that they can sleep or calm down.
00:49:51.000 | And then they're just, but they're destroying their metabolic health.
00:49:56.160 | And does that really play out?
00:49:58.640 | Like, and is that, you know, some will say, well, Chris, that's just one of myriad things
00:50:03.120 | that they're doing to their cells.
00:50:04.780 | Sure.
00:50:05.360 | But does it play out in diseases that we think of as metabolic diseases?
00:50:10.980 | Absolutely.
00:50:12.780 | Type 2 diabetes?
00:50:15.860 | Cardiovascular disease?
00:50:17.480 | A hundred percent.
00:50:18.340 | Like premature mortality?
00:50:20.180 | Yeah.
00:50:20.820 | Um, like it, there's, it's kind of like the elephant in the room that we have just failed
00:50:27.980 | to look at because we've been so splintered with, no, it's biological.
00:50:34.240 | No, it's psychological.
00:50:35.200 | No, it's social.
00:50:36.040 | It's like, it's all of them.
00:50:37.200 | Let's look at the elephant that comprises all of them.
00:50:40.120 | One of the beautiful things about science is that you isolate variables.
00:50:44.400 | You can get very reductionist.
00:50:45.680 | We know that there are these things called mitochondria that they move around.
00:50:49.100 | I mean, these discoveries are truly incredible that have been made in the last hundred years
00:50:53.460 | or so.
00:50:53.880 | But there's been this, um, kind of obsession, I, I think in, in the public discussion around
00:51:00.920 | health that, you know, around things that are obviously related to the thing that you're
00:51:07.800 | trying to cure.
00:51:08.360 | So serotonin and brain health, it's like, oh, okay, it makes sense.
00:51:12.920 | You know, the listening to Prozac book came out, we increased serotonin, some people are
00:51:15.940 | feeling better.
00:51:16.500 | Maybe it's through neuroplasticity, maybe it's direct effects of serotonin and, but it makes
00:51:20.760 | sense.
00:51:21.060 | Serotonin brain, right?
00:51:22.640 | You know, um, but if we zoom out from that and we accept because it's true that essentially
00:51:30.760 | all cells are dependent on mitochondria for their function, why wouldn't we go to this
00:51:35.700 | fundamental layer, uh, first in order to try and improve mental and physical health simultaneously,
00:51:41.380 | right?
00:51:42.320 | It's a very different way of approaching medicine in general.
00:51:44.700 | Normally we go, okay, well, the issue is right here.
00:51:46.960 | That's where the tumor is.
00:51:48.020 | That's where the circuit deficit is.
00:51:49.820 | This is where the, the lesion is, uh, or the growth.
00:51:53.260 | And we're going to go there, right?
00:51:55.180 | But, um, to avoid that, the pathologic state in the first place, uh, these six pillars are
00:52:00.620 | wonderful, by the way, a diet, exercise, sleep, substance, overuse or abuse, stress mitigation
00:52:07.540 | and relationship slash purpose.
00:52:09.620 | Um, so we're going to keep returning to this theme of, of mitochondria is foundational, um,
00:52:16.360 | throughout today's discussion, because I think people need to, to frame their health
00:52:20.440 | in that context.
00:52:21.240 | I really do also, um, years ago, my postdoc advisor, the late Ben Barris, he died, unfortunately
00:52:28.240 | of pancreatic cancer, but just seeing incredible scientists, um, MD and, uh, scientists who really
00:52:34.380 | popularized this, the study of glia prior to that, they were seeing this kind of like back
00:52:38.660 | water science.
00:52:39.400 | No one, everyone thought it was just glue for the brain.
00:52:41.040 | He used to stop us in the hallways late at night and he used to, we called it getting
00:52:45.760 | bend because you'd want to leave.
00:52:47.220 | And he would like, he was a night owl.
00:52:48.660 | It was awful.
00:52:49.240 | And you'd get stuck there, but I'll never forget.
00:52:51.180 | He stopped and he called me Andy.
00:52:52.460 | And he said, he did this numerous times, but he said, Andy, why?
00:52:56.800 | No one calls me that by the way, anymore.
00:52:58.440 | Um, he said, Andy, why is it that as we get older, we have less energy?
00:53:04.300 | And I'm like, I don't know, Ben.
00:53:06.240 | He's like, someone needs to, he's like, why don't you work on that?
00:53:08.340 | Why are you working on these retinal cells?
00:53:10.620 | Like you, you should work on that.
00:53:12.220 | And he said, why is it that we, that our brain is less plastic?
00:53:14.760 | Like, well, I don't know.
00:53:16.020 | I think it's the glia, right?
00:53:17.100 | And there is some evidence that it has something to do with the glia, um, among other things.
00:53:21.880 | But there's a fundamentally interesting question.
00:53:24.340 | You look at kids and they're just full of energy.
00:53:27.300 | And we, there's the NAD hypothesis and there's these other, but it always seems to circle back
00:53:31.900 | to mitochondria.
00:53:33.460 | Over and over.
00:53:34.300 | So I think the answer is very clear.
00:53:36.060 | It's, it's, we have a ton of mitochondria early in life and over time it gets depleted.
00:53:41.820 | Is it that simple?
00:53:43.500 | I mean, there are other things too.
00:53:45.320 | There are other things, but I, I actually do think that's a, it's not just the, the number
00:53:51.480 | and density of mitochondria, but it's the health of mitochondria because unfortunately, you know,
00:53:58.120 | our cells have a process for getting rid of defective mitochondria.
00:54:03.380 | Um, it's part of autophagy.
00:54:06.140 | There's a sub kind of category called mitophagy in which defective mitochondria should be shuttled
00:54:14.260 | to lysosomes or shuttled out of cells.
00:54:17.820 | Recent paper actually found that microglia in the brain, again, send out these nanotunnels
00:54:24.900 | to astrocytes and collect defective mitochondria from the neuron and then take care of the disposal
00:54:32.580 | process for that neuron.
00:54:34.140 | We are so cool.
00:54:35.080 | And that when you inhibit that, it appears to increase and accelerate neurodegeneration.
00:54:39.660 | And when you enhance that, it appears to improve, um, or reduce neurodegeneration.
00:54:46.240 | But I think it is.
00:54:47.500 | I think children have more energy because they have healthier metabolism, healthier mitochondrial
00:54:55.720 | function.
00:54:56.320 | And when we look at like, again, like, is there evidence for that?
00:55:02.380 | There's overwhelming evidence for that.
00:55:04.620 | There are thousands of peer reviewed, published articles in leading journals, nature, cell, like
00:55:14.280 | all sorts of journals over the last several decades, just to, again, try to bring this back to just
00:55:20.900 | common sense.
00:55:21.960 | So we have these things called diseases of aging.
00:55:24.980 | What are the diseases of aging?
00:55:27.860 | The diseases of aging are obesity, type two diabetes, cardiovascular disease, cancer, neurodegenerative
00:55:38.220 | disorders.
00:55:38.840 | Those are universally thought of as diseases of aging.
00:55:43.920 | Interestingly, what often gets left off of that category are the mental disorders.
00:55:52.540 | Especially today, a lot of people think of mental disorders as primarily a youth problem.
00:55:59.120 | But in fact, mental disorders, depression, anxiety, psychosis are actually diseases of aging.
00:56:12.440 | So the Center for Disease Control has put out kind of charts of any age group.
00:56:22.920 | What is the probability if you are, you know, a youth in America today that you will be prescribed
00:56:31.680 | an antidepressant, an SSRI antidepressant?
00:56:36.160 | If you're between 20 and 40, what's the probability?
00:56:39.320 | Among the remaining people who are still 20 to 40, among all the people that age, as people
00:56:48.120 | get older, the risk for antidepressant prescription goes up.
00:56:54.100 | The highest category of people prescribed antidepressants are 65 and older.
00:57:00.480 | Really?
00:57:00.760 | Well, I guess in some sense that makes sense, although I would have thought it would be the
00:57:06.740 | younger population.
00:57:07.500 | Most people do.
00:57:08.500 | And that's why I'm saying this, because it's shocking to most people.
00:57:11.740 | It was actually surprising to me, but I was thinking, wait, if my theory is correct, then
00:57:17.140 | mental disorders should be a disease of aging.
00:57:19.260 | And in fact, they are.
00:57:21.500 | Antipsychotic prescriptions, what age group is the most likely to be prescribed an antipsychotic?
00:57:28.860 | Over age 80.
00:57:30.000 | Really?
00:57:31.040 | Oh, it goes through the roof.
00:57:32.420 | Because dementia is associated with 40 to 50% of the people with dementia will have psychotic
00:57:40.780 | symptoms, hallucinations and delusions.
00:57:42.640 | They'll have agitation.
00:57:46.140 | The benzodiazepines, the prescription rate goes up.
00:57:51.560 | Now, with benzos, there is a dip starting at age 65, and that is really because physicians
00:57:59.620 | are explicitly told do not prescribe benzos to people over 65, so the rate starts going
00:58:05.040 | down.
00:58:05.480 | Interesting.
00:58:05.960 | But with antidepressants, it's almost linear.
00:58:08.860 | The older you are, the more likely you are to be receiving a prescription for an antidepressant.
00:58:15.480 | Psychotics, there are some waves and shifts.
00:58:18.480 | Women, for example, around the time of menopause get a peak.
00:58:22.500 | So you get a peak around the age of 20, which is new onset schizophrenia, and then it kind of
00:58:29.040 | comes down a little, and then women, round time menopause, higher peak, and then it kind of
00:58:35.940 | comes down a little, and then late in life goes through the roof, goes through the roof, again,
00:58:42.960 | because of what we call dementia.
00:58:45.020 | So the diseases of aging, anyway, are all of the metabolic disorders and, oh, by the way,
00:58:54.520 | the mental disorders.
00:58:55.880 | And in my mind, we need to tie that together.
00:58:59.380 | That is not a serotonin problem.
00:59:01.820 | Right.
00:59:03.400 | We need to tie that science together.
00:59:05.860 | And the only way to tie that science together is to look at the bigger picture that we call
00:59:12.120 | metabolism.
00:59:12.740 | And ultimately, you have to look at mitochondria and mitochondrial biology to understand it.
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01:01:06.740 | Let's talk about diet and nutrition for a moment.
01:01:09.040 | In recent years, you've talked a lot about the clinical use of the ketogenic diet for various
01:01:16.860 | mental health disorders and cited some spectacular results.
01:01:20.380 | And this has had a huge impact on everybody's thinking about what ketogenic diets originally
01:01:27.380 | were for.
01:01:28.360 | It was developed as a medical treatment for epilepsy, is my understanding.
01:01:31.140 | Only later did it become popular as a potential avenue for losing body fat, et cetera.
01:01:36.780 | But what are some of the ways that people can use diet and nutrition to improve metabolic health
01:01:45.000 | generally?
01:01:45.540 | But let's be more specific.
01:01:47.520 | Mitochondrial health, number, turnover, all the good stuff that happens in mitochondria.
01:01:53.460 | How can nutrition be used to improve that?
01:01:57.080 | Why would it be that the ketogenic diet would improve mitochondrial function?
01:02:00.780 | Or is it that the ketogenic diet bypasses the need for standard cellular metabolism by pulling
01:02:06.900 | on some other cellular metabolism mechanisms?
01:02:11.840 | I'm just trying to draw the link here between a ketogenic diet and mitochondria because you've
01:02:20.260 | well established that mitochondria are central to this whole picture of the mental and physical
01:02:23.800 | health.
01:02:24.700 | I'll throw in a plug before I go deep into the ketogenic diet story.
01:02:30.800 | But you also threw a question in there about other dietary interventions or how can diet
01:02:36.020 | impact.
01:02:36.540 | There is no question diet plays a profound, profound and central role to human metabolism and all of
01:02:46.320 | the consequences of human metabolism.
01:02:48.140 | And you very eloquently laid out the case for early life.
01:02:54.040 | A woman who's breastfeeding her infant, that breast milk has a profound impact on whether that
01:03:03.700 | baby's brain develops normally or not.
01:03:06.760 | that has dire consequences potentially for the outcome and the health of that child.
01:03:15.740 | And it's all about nutrition.
01:03:18.040 | We've known that for decades, that if women are malnourished during pregnancy, it impacts that
01:03:24.780 | infants, the fetus's lifespan.
01:03:29.220 | Really, it increases risk for mental disorders and metabolic disorders, increases risk.
01:03:34.680 | If your mother is starving while she's pregnant or has to fast or has to go without nutrients, it increases that child's risk for metabolic disorders.
01:03:47.460 | Obesity, diabetes, cardiovascular disease.
01:03:49.820 | We've known that.
01:03:51.600 | And that is, you know, there are lots of theories about obesity around that.
01:03:56.320 | It also, surprisingly, increases risk for schizophrenia and bipolar disorder and antisocial personality disorder and all sorts of other mental disorders.
01:04:08.520 | In terms of other dietary patterns, I just want to, and we can do a deep dive into any of these if you want, and then I'll go on to ketogenic diets.
01:04:16.680 | But ultra-processed foods, really bad for your physical health and your mental health.
01:04:21.780 | We have just growing body of evidence for that.
01:04:24.860 | Is that because of the increased calorie consumption?
01:04:27.460 | There's this really nice paper that was published a few years ago showing that people who eat above a certain threshold of processed foods tend to consume, on average, about 500 calories more than they require per day, which might not seem like much, but over time that compounds.
01:04:44.060 | And they gain a lot of adipose tissue, and then the adipose tissue is secreting a lot of things into the bloodstream that make the whole situation even worse, both brain and bodily.
01:04:56.620 | But aside from the caloric load, I mean, is there any evidence that these food dyes and other things that are included in these foods are detrimental to mitochondrial health?
01:05:06.100 | This is a somewhat controversial thing these days because some of these dyes were banned recently, which I saw as a good thing.
01:05:12.740 | But then some of the diehards in the scientific community were like, oh, those dosages represent like 6,000-fold what you'd have to eat, what most people eat, you know, the dosages used in mice.
01:05:23.640 | But the FDA still pulled those dyes, and the FDA is a pretty conservative body.
01:05:29.280 | So I don't know.
01:05:32.700 | Not every chemical is bad, of course.
01:05:35.780 | But are these additives really that bad?
01:05:40.080 | So to try to answer your question, are the chemicals and additives harmful, the real answer is we don't actually have adequate scientific evidence one way or another.
01:05:52.160 | And why don't we have adequate scientific evidence?
01:05:55.420 | Because we're not spending money to research it.
01:05:59.940 | So right now, the rules to this day are that, you know, there's this concept called GRASS, general regarded as safe,
01:06:13.420 | that food companies can develop new molecules that will preserve a food, make a food hyperpalatable, make it tastier, make it more shelf-stable, whatever, whatever they want to claim it does.
01:06:30.680 | They can put these molecules into our food, and they can get away with just saying, well, this is just generally regarded as safe without any adequate safety testing whatsoever.
01:06:48.240 | Now, the new administration, RFK Jr., just recently said he's going to try to change that rule, and I welcome that change.
01:07:00.380 | I think that will be a phenomenal change.
01:07:03.320 | So the reality is that testing hasn't been done on all of these molecules.
01:07:09.540 | There are tens of thousands of molecules, like new chemicals, new additives, things that sometimes aren't even on the label.
01:07:18.060 | That are added to food, and we really don't know for sure for each and every one of them whether this one is safe or not safe.
01:07:27.520 | What we do know overall, and this unfortunately comes down to epidemiological studies, where they just look at hundreds of thousands, if not millions of people,
01:07:39.180 | and they assess, like, how much ultra-processed food is this person eating?
01:07:47.660 | And is that associated?
01:07:49.880 | If we look at large populations of people and we stratify them by these people are eating mostly ultra-processed foods, and these people are hardly eating any, are there differences in their health outcomes?
01:08:06.440 | And the answer to that is unequivocal, and it is perfectly clear.
01:08:12.040 | The more ultra-processed foods you eat, the worse your physical and mental health, both.
01:08:20.180 | It's cardiovascular disease, it's obesity, it's diabetes, it's mortality, it's cancer.
01:08:26.300 | It's also a broad range of mental disorders.
01:08:30.340 | And so we know that.
01:08:34.280 | We've got more granular data that hyper-focuses on the mental health story.
01:08:40.320 | You know, one study, over 300,000 people, the more ultra-processed foods you eat, a direct linear relationship.
01:08:48.680 | It was shocking how linear it was.
01:08:50.720 | The more ultra-processed foods you eat, the worse your mental health.
01:08:55.380 | And it was so striking.
01:08:58.000 | It was not a subtle difference.
01:08:59.620 | It wasn't like, you know, oh, it was a 3% difference between the lowest.
01:09:04.660 | It was a three-fold difference.
01:09:08.080 | The people who consumed ultra-processed foods every day, multiple times a day, 58% of them had poor mental health,
01:09:20.600 | compared to only 18% of the people who rarely or never consumed ultra-processed foods.
01:09:29.460 | So this would be even just like somebody has like a bag of chips and some, you know,
01:09:35.520 | just pour in water type pre-made soup or something like that.
01:09:38.740 | Those are ultra-processed.
01:09:40.660 | This would be somebody orders a sandwich at the deli for lunch, which can be done in a relatively healthy way,
01:09:47.640 | depending on what's in that sandwich.
01:09:49.140 | And then does soda and bag of chips on the side.
01:09:54.340 | Like, I mean, that's a lot of, in my opinion, highly processed food.
01:09:58.220 | But people, I think sometimes people don't think of it that way.
01:10:02.480 | One of the, I was surprised and somewhat delighted to learn that one of the ways that the, you know,
01:10:10.580 | the public health folks got kids to smoke fewer cigarettes, because when I was growing up, like, smoking was cool.
01:10:18.280 | Like, if you smoke a cigarette, it was cool.
01:10:19.660 | People thought it was cool.
01:10:21.040 | Like, it definitely is reinforcing because of the nicotine, the dopamine increases.
01:10:24.300 | And it was considered cool.
01:10:26.180 | You had your, like, Marble Man image from the preceding decades.
01:10:30.440 | But then it was really the 90s kind of, it was the actors and models and stuff that made it cool.
01:10:37.360 | Like, people smoked and it was supposed to be cool.
01:10:39.320 | And one of the ways that we ended up with people smoking far less was not just to ban it on campuses,
01:10:47.480 | because that just makes teens want to do it more, right?
01:10:50.080 | In college, you want to do it more.
01:10:51.200 | Was to have these commercials of these, it was all, to be direct, it was just like these rich white guys in a room
01:11:04.000 | that was portraying, like, the boardroom of a tobacco company.
01:11:07.400 | And they were, like, cackling and talking about, like, ha, ha, ha.
01:11:09.840 | They think we're going to, they don't think it causes cancer and this kind of thing.
01:11:12.940 | Basically, pitting youth against adults so that the youth felt like their money was being taken by the establishment.
01:11:20.260 | So, is there a world where, you know, kids are going to be like, you know, forgive me, but, you know, like, F that.
01:11:27.900 | I'm not eating Doritos, you know.
01:11:30.240 | Like, I'm not going to be manipulated by highly processed foods.
01:11:32.940 | Or I'm going to hold on to my mental health by making healthy choices in terms of food.
01:11:37.040 | It's tricky, but it has a lot of the same parallels to cigarette use or alcohol use.
01:11:41.480 | But I feel like the only way to really get Americans to change their behavior, besides scaring them fundamentally,
01:11:47.560 | but even if you do that, is to incentivize it.
01:11:50.460 | And one of the best incentives historically for public health change has been to pit the,
01:11:54.960 | make the public feel like they're pitted against the people that are trying to take their money unfairly
01:11:59.760 | and make them unhealthy at the same time.
01:12:01.780 | You got to activate that kind of rebellious spirit.
01:12:04.000 | No, uh-uh, not going to do it.
01:12:05.860 | Just telling people that it's bad for you doesn't work, right?
01:12:09.300 | We know that.
01:12:09.880 | How do we incentivize people?
01:12:11.500 | Yeah, I'm not going to give a cliche answer because this is the trillion dollar question
01:12:18.200 | is what everybody's asking and it really, you know, the health of our country really kind of depends on it.
01:12:29.760 | With billions of dollars that this industry has in revenue annually,
01:12:37.840 | they can spend a lot of that money on really impactful marketing campaigns,
01:12:44.640 | getting people to believe that it's not as unhealthy as Chris Palmer and Andrew Huberman are saying.
01:12:53.540 | It's fine.
01:12:54.460 | Everybody deserves a treat.
01:12:57.080 | Within the last couple of weeks, the American Heart Association was actively lobbying against a Texas bill
01:13:10.120 | that was trying to restrict spending food stamp money on junk food.
01:13:16.840 | I saw that clip.
01:13:17.940 | It's so disturbing to see someone from the American Heart Association
01:13:21.780 | actively lobbying to keep tax dollars directed towards including sugary soda,
01:13:29.220 | not even diet soda, but sugary soda in lunches and food for people who are low income.
01:13:37.500 | And he went on record as saying this junk food, this ultra-processed food,
01:13:45.020 | is not the root cause of obesity or diabetes or any of these health conditions,
01:13:50.100 | which is an absolute abject lie.
01:13:53.700 | And when you have supposedly respected organizations being bought by industry promoting misinformation,
01:14:13.040 | it's really hard.
01:14:14.480 | You know, everybody's all upset that, like, oh, people don't trust the science.
01:14:18.440 | They're not respecting the respected organizations.
01:14:21.800 | Well, the respected organizations need to step up and start behaving in a respectable manner.
01:14:27.000 | They need to stop.
01:14:29.080 | The American Heart Association should not be taking a dime from any industry
01:14:34.180 | that plays a role in heart disease.
01:14:39.640 | Like, it would be like the American Heart Association taking money from tobacco companies
01:14:47.400 | and then coming out and say,
01:14:49.600 | smoking doesn't really cause heart disease, people.
01:14:52.400 | Everybody calm down.
01:14:54.860 | There's still a lot that we don't know.
01:14:57.640 | We need more research.
01:14:59.020 | We need more research.
01:15:01.320 | Smoking doesn't cause heart disease, people.
01:15:03.280 | This is just scaremongering.
01:15:05.920 | This is just paranoid conspiracy theories.
01:15:09.400 | That is exactly what's happening now.
01:15:12.920 | They're taking money from food companies
01:15:16.000 | that have no vested interest in the health of the population that they are feeding.
01:15:23.920 | They know perfectly well that these foods are highly palatable.
01:15:29.000 | And what does that mean?
01:15:32.200 | It means addictive.
01:15:32.980 | And again, if I was selling food, I would want people to be addicted to the food I was selling.
01:15:39.640 | Because you sell more.
01:15:40.580 | Higher margins.
01:15:43.840 | If you sell food that people aren't addicted to,
01:15:46.780 | they'll just move on to the other food that is addictive.
01:15:49.900 | And then you'll be out of business.
01:15:51.920 | So it's not an easy problem to solve.
01:15:54.220 | I don't mean to imply it's easy.
01:15:56.100 | Because if one or two companies steps up and does the right thing,
01:16:00.980 | they'll just go out of business.
01:16:02.700 | Well, I feel like the smoking parallel is critical.
01:16:05.960 | And maybe the trans fat, the history of entire cities banning the use of trans fats,
01:16:12.200 | for instance, or the use of a styrofoam container is a very different issue.
01:16:17.720 | This doesn't directly get to human health of the styrofoam.
01:16:20.960 | It's not good.
01:16:21.400 | But it's about waste and environment.
01:16:24.400 | But I feel like there has to be a top-down ban.
01:16:29.000 | And Americans also don't like bans, right?
01:16:31.300 | We don't like things.
01:16:32.640 | We like choice.
01:16:33.800 | But we don't like the consequences of choice.
01:16:37.020 | And then we want people to fix the consequences of those choices
01:16:41.520 | with treatments that don't have side effects.
01:16:46.000 | And then this is kind of the cycle that I've observed in my lifetime over and over again.
01:16:50.740 | You know, I think it's the rebellion piece.
01:16:54.320 | It's when people realize they're being manipulated.
01:16:56.720 | Once people realize they're being manipulated,
01:16:59.600 | I feel like that's when they're willing to intervene
01:17:03.040 | and stop an otherwise reinforcing activity,
01:17:07.820 | reinforced addictive activity,
01:17:11.000 | save money, and take a different direction.
01:17:14.780 | Like, that's inherent to the American spirit.
01:17:17.380 | As much as we love freedom,
01:17:18.760 | we also have this, like,
01:17:21.300 | no, you're not going to do this to me kind of spirit.
01:17:25.180 | We see it everywhere.
01:17:26.400 | This is my belief.
01:17:27.140 | But then again, I was kind of a rebellious teen.
01:17:28.940 | But if it's in service to health,
01:17:31.280 | I'm hopeful.
01:17:32.640 | I mean, my understanding,
01:17:34.920 | by no means am I an expert,
01:17:37.260 | but my understanding of what really drove the reduction in tobacco use
01:17:42.740 | was the taxes
01:17:44.680 | and the ban on advertising,
01:17:48.960 | the ban on television advertisements.
01:17:51.400 | Interesting.
01:17:52.120 | That when you get rid of the advertisements,
01:17:54.600 | you're no longer tempting people with it.
01:17:56.700 | You're no longer able to spread misinformation.
01:17:59.760 | And when you make the product so expensive,
01:18:05.060 | people just,
01:18:06.760 | even if they want to try it,
01:18:08.580 | even if they're already addicted to it,
01:18:12.160 | now they are highly motivated to get off of it.
01:18:15.740 | Because it's costing them an arm and a leg.
01:18:17.420 | Yeah, money hurts.
01:18:18.080 | And they realize that,
01:18:19.680 | I just don't want this.
01:18:21.960 | We could do similar things with ultra-processed foods.
01:18:25.540 | If rebellion, education, whatever,
01:18:29.580 | I don't care what works.
01:18:31.280 | All of the above.
01:18:32.260 | But we're all of the above.
01:18:33.500 | We're really fighting an uphill battle.
01:18:36.480 | So ultra-processed foods,
01:18:38.140 | that's just one story.
01:18:39.240 | Vitamin, nutrient deficiencies.
01:18:40.620 | Do you want to go to ketogenic diet?
01:18:43.100 | You asked me about that,
01:18:44.080 | and I got sidetracked.
01:18:45.040 | Yeah, we went into a public health discourse.
01:18:46.800 | We're weaving back and forth.
01:18:47.800 | That's what we do here.
01:18:48.640 | I think it's,
01:18:49.440 | I mean, look, it's very timely, right?
01:18:51.600 | I don't care if you're the staunchest Democrat
01:18:53.980 | or the staunchest Republican
01:18:55.220 | or somewhere in between.
01:18:56.240 | These issues affect everybody.
01:18:58.160 | And anyone who just wants to view Maha
01:19:02.000 | as a Republican thing,
01:19:04.180 | it's fine that I'm not affiliated with Maha.
01:19:06.920 | I am in favor of improved public health
01:19:09.700 | from whatever angles
01:19:10.920 | that can meaningfully be done.
01:19:12.300 | So tell us about ketogenic diet.
01:19:16.000 | And then I'd like to ask about things
01:19:19.840 | that we can do to improve mitochondrial function
01:19:21.920 | in these other bins.
01:19:23.220 | But does ketogenic diet
01:19:25.820 | improve mitochondrial function?
01:19:27.300 | And if so, how does that work?
01:19:28.840 | The quick summary story
01:19:30.920 | for people who don't know ketogenic,
01:19:32.760 | so ketogenic diet is a 100-year-old
01:19:34.980 | evidence-based treatment for epilepsy.
01:19:36.720 | It can stop seizures
01:19:38.180 | even when medications fail to.
01:19:39.800 | We have over a dozen
01:19:43.000 | controlled trials
01:19:44.880 | of ketogenic diets
01:19:46.320 | in children,
01:19:47.440 | in particular,
01:19:48.580 | with treatment-resistant epilepsy.
01:19:50.840 | we have two Cochrane reviews
01:19:52.220 | that came out positive.
01:19:54.460 | So Cochrane reviews
01:19:56.200 | are the gold standard
01:19:57.600 | in the medical field
01:19:58.620 | for meta-analyses.
01:19:59.840 | Very rigorous.
01:20:01.800 | And they analyzed the data that exists
01:20:04.600 | and came to the conclusion
01:20:05.880 | that ketogenic diet,
01:20:07.760 | if somebody has treatment-resistant epilepsy,
01:20:10.520 | compared to treatment as usual,
01:20:13.460 | which is try another
01:20:14.700 | anti-epileptic medication,
01:20:15.920 | the ketogenic diet
01:20:16.840 | is six times more likely
01:20:18.300 | to result in seizure freedom
01:20:19.640 | than just trying
01:20:21.660 | yet another epilepsy pill.
01:20:23.520 | So the ketogenic diet
01:20:26.120 | is a powerful
01:20:27.040 | anti-convulsant treatment.
01:20:28.480 | We use anti-convulsant treatments
01:20:30.420 | in psychiatry every day
01:20:32.040 | in tens of millions of people.
01:20:33.900 | Lots of these medications are used.
01:20:36.400 | So at this point,
01:20:39.880 | we now have
01:20:41.260 | over 50 published
01:20:43.820 | pilot trials,
01:20:46.040 | case series,
01:20:46.880 | case reports,
01:20:47.980 | other lines of evidence
01:20:50.060 | of the ketogenic diet
01:20:51.120 | for psychiatric disorders,
01:20:54.360 | schizophrenia,
01:20:56.540 | bipolar disorder,
01:20:57.720 | depression,
01:20:58.260 | anxiety,
01:20:59.160 | anorexia,
01:21:00.520 | or nebosa,
01:21:01.060 | surprisingly.
01:21:01.780 | These 50 reports
01:21:05.640 | represent over 1,900 people.
01:21:08.920 | And on balance,
01:21:10.540 | the ketogenic diet
01:21:12.380 | appears to be
01:21:14.940 | an effective treatment,
01:21:16.240 | sometimes
01:21:17.480 | an extraordinarily
01:21:19.320 | effective treatment,
01:21:20.640 | like in
01:21:21.360 | able to
01:21:22.960 | induce remission
01:21:24.080 | of schizophrenia
01:21:24.980 | or bipolar
01:21:25.960 | in people who
01:21:27.900 | otherwise had
01:21:28.660 | treatment-resistant disorders.
01:21:30.160 | And they're going off
01:21:31.180 | medication simultaneously?
01:21:32.280 | Some of them are.
01:21:34.260 | So there are,
01:21:36.520 | you know,
01:21:37.040 | I have heard
01:21:37.720 | probably from
01:21:39.860 | thousands of people
01:21:40.980 | around the world
01:21:42.120 | since my work
01:21:43.920 | has become more public.
01:21:45.020 | And actually,
01:21:46.780 | our first podcast together,
01:21:48.600 | hands down,
01:21:50.620 | the most cited
01:21:51.860 | reason people know
01:21:53.820 | who I am.
01:21:54.460 | As they should.
01:21:56.540 | Well,
01:21:57.140 | I know about you,
01:21:58.160 | but it's Huberman.
01:21:59.000 | That Huberman Lab podcast.
01:22:00.560 | Well,
01:22:00.760 | I'm just a runway
01:22:03.560 | for people to,
01:22:04.360 | those incredible messages
01:22:06.520 | to take off.
01:22:07.060 | Thank you again
01:22:07.540 | for the opportunity
01:22:08.740 | to disseminate this word.
01:22:11.020 | And because
01:22:11.660 | at the end of the day,
01:22:13.000 | I'm hearing from
01:22:13.880 | thousands of people
01:22:14.760 | who simply listened
01:22:16.420 | to that podcast,
01:22:17.680 | made changes,
01:22:19.280 | started a ketogenic diet
01:22:20.980 | for their schizophrenia
01:22:21.840 | or other
01:22:22.940 | treatment-resistant
01:22:24.460 | mental disorder,
01:22:26.000 | reach out to me.
01:22:27.200 | You saved my life.
01:22:29.540 | I can't tell you
01:22:31.520 | how many times
01:22:32.100 | I've gotten
01:22:32.680 | handwritten notes,
01:22:34.460 | emails,
01:22:35.240 | messages from people
01:22:36.680 | who use those words.
01:22:39.320 | You saved my life.
01:22:40.740 | I never met this person.
01:22:41.980 | All I did
01:22:43.600 | was share this knowledge.
01:22:45.880 | And then they
01:22:47.480 | saved their own lives
01:22:48.940 | with knowledge.
01:22:51.000 | Coming back to your question now
01:22:53.580 | in Roundabout Way,
01:22:54.400 | does ketogenic diet
01:22:55.960 | impact mitochondrial health?
01:22:58.860 | We have
01:23:00.780 | strong evidence
01:23:02.180 | that it does.
01:23:03.360 | And so it appears,
01:23:05.980 | so the ketogenic diet
01:23:07.460 | is mimicking
01:23:08.540 | the fasting state.
01:23:09.860 | And I just want to
01:23:12.340 | say that
01:23:14.080 | again.
01:23:15.500 | The ketogenic diet
01:23:17.140 | mimics
01:23:18.140 | the fasting state.
01:23:19.260 | What does that mean?
01:23:20.580 | It means the ketogenic diet
01:23:22.140 | is mimicking
01:23:22.860 | no food consumption.
01:23:24.900 | So is the ketogenic diet
01:23:28.600 | the healthiest diet
01:23:29.960 | that everybody should follow?
01:23:31.640 | that's not the way
01:23:32.400 | I think about it.
01:23:33.180 | The ketogenic diet
01:23:34.200 | is an intervention.
01:23:35.300 | It is shifting metabolism.
01:23:38.680 | It is shifting
01:23:40.120 | countless
01:23:41.560 | kind of systems,
01:23:43.220 | signaling pathways,
01:23:44.520 | other things,
01:23:45.440 | gene expression
01:23:46.340 | in the human body
01:23:48.320 | and brain
01:23:49.000 | and that results
01:23:51.080 | in effects.
01:23:52.880 | And the good news
01:23:55.280 | is these effects
01:23:56.240 | appear to be
01:23:57.240 | life-changing
01:23:58.020 | and life-saving
01:23:59.140 | sometimes.
01:23:59.840 | So they're
01:24:00.420 | highly beneficial
01:24:01.760 | effects.
01:24:02.580 | Again,
01:24:05.640 | and the way
01:24:06.320 | you do it
01:24:07.020 | matter
01:24:07.620 | because fasting,
01:24:09.600 | the extreme version
01:24:11.060 | of fasting
01:24:11.600 | is starvation
01:24:12.700 | and that results
01:24:14.060 | in death.
01:24:14.760 | so that is
01:24:15.220 | not at all
01:24:15.780 | a good thing.
01:24:16.320 | So let's make sure
01:24:17.860 | that if you're
01:24:18.560 | going to do
01:24:19.160 | a ketogenic diet
01:24:20.040 | or a fasting regimen
01:24:21.340 | that you're not
01:24:22.040 | depriving yourself
01:24:23.720 | of essential nutrition,
01:24:25.400 | that you're getting
01:24:27.420 | enough calories,
01:24:28.020 | you're getting
01:24:28.440 | enough nutrients,
01:24:29.120 | that you're doing
01:24:29.840 | it in a medically
01:24:31.360 | sound way
01:24:32.460 | so that you're
01:24:33.420 | optimizing your health
01:24:34.300 | and not hurting
01:24:34.880 | your health.
01:24:37.660 | But we have,
01:24:39.220 | you know,
01:24:40.700 | it's hard to measure
01:24:42.740 | this in humans
01:24:45.240 | in vitro
01:24:48.500 | because we can't
01:24:49.760 | like do an intervention
01:24:51.040 | to a human
01:24:51.560 | and then dissect
01:24:52.280 | their brain
01:24:52.780 | and like biopsy it
01:24:53.860 | and look at the mitochondria
01:24:54.880 | under the microscope.
01:24:55.600 | So we mostly have
01:24:57.620 | animal data
01:24:59.400 | that supports this,
01:25:00.880 | but animal data
01:25:01.860 | strongly supports
01:25:03.460 | that ketogenic
01:25:05.160 | interventions
01:25:05.940 | improve
01:25:08.060 | mitophagy,
01:25:10.000 | so getting rid
01:25:10.900 | of these old
01:25:11.460 | and defective mitochondria.
01:25:12.620 | So you're kind of
01:25:13.740 | cleaning house.
01:25:14.760 | You're getting rid
01:25:16.920 | of the bad
01:25:17.980 | and then you're
01:25:19.640 | replacing them
01:25:20.460 | with new fresh ones,
01:25:21.880 | mitochondrial biogenesis,
01:25:23.980 | so that at the end
01:25:25.460 | of the day,
01:25:25.820 | the cell will have
01:25:26.620 | more healthy mitochondria.
01:25:28.180 | Now, some researchers
01:25:30.200 | have really hyper-focused
01:25:31.860 | on the ketogenic diet
01:25:33.160 | might be working
01:25:33.820 | through the gut microbiome.
01:25:35.280 | this gut-brain connection.
01:25:37.460 | And we have some evidence
01:25:39.540 | that that is true.
01:25:40.680 | So researchers
01:25:42.100 | actually took
01:25:44.060 | feces
01:25:45.620 | from human children
01:25:48.620 | with epilepsy
01:25:49.520 | before starting
01:25:51.660 | a ketogenic diet
01:25:52.660 | and then
01:25:53.280 | afterward
01:25:54.940 | while they were stable
01:25:56.300 | on a ketogenic diet.
01:25:57.960 | And then they transferred
01:25:59.440 | these fecal samples
01:26:01.220 | to mice
01:26:02.580 | who were
01:26:03.820 | predisposed
01:26:04.560 | to epilepsy
01:26:05.260 | or predisposed
01:26:06.600 | to seizures.
01:26:07.120 | When they took
01:26:09.060 | the feces
01:26:09.920 | from the children
01:26:10.960 | while the children
01:26:11.980 | still had
01:26:12.680 | or seizing,
01:26:13.380 | the mice
01:26:14.920 | were more likely
01:26:16.020 | to seize.
01:26:16.860 | When they took
01:26:19.020 | the feces
01:26:19.940 | from the children
01:26:22.240 | doing the ketogenic diet
01:26:23.700 | and transferred it
01:26:24.880 | to the mice,
01:26:25.520 | the mice
01:26:26.260 | were less likely
01:26:27.380 | to have seizures.
01:26:28.500 | Interesting.
01:26:29.140 | Even though the mice
01:26:30.380 | were not on ketogenic diets.
01:26:31.940 | So there's something
01:26:33.700 | in the feces
01:26:35.840 | of children
01:26:38.140 | with epilepsy
01:26:39.520 | doing ketogenic diets
01:26:41.020 | that has an
01:26:43.660 | anti-seizure effect.
01:26:44.740 | What could that
01:26:45.440 | something be?
01:26:46.260 | It could be
01:26:47.580 | the gut microbiome
01:26:48.700 | but it could be
01:26:50.500 | molecules,
01:26:51.980 | neurotransmitters,
01:26:53.480 | neuropeptides,
01:26:54.480 | other things
01:26:55.420 | that those
01:26:56.240 | microbes
01:26:57.160 | are producing
01:26:58.020 | or it could be
01:26:59.820 | neuropeptides
01:27:01.440 | and other factors
01:27:02.660 | that the gut cells
01:27:04.240 | are producing.
01:27:04.900 | So we really
01:27:06.180 | don't know
01:27:06.660 | for sure
01:27:07.200 | what exactly
01:27:08.500 | is it.
01:27:09.200 | So on the surface
01:27:10.120 | there's something
01:27:11.320 | in the feces
01:27:12.000 | there's a gut microbiome
01:27:13.660 | a gut brain
01:27:14.940 | connection thing.
01:27:16.140 | What does that
01:27:17.140 | have to do
01:27:17.480 | with mitochondria?
01:27:18.220 | So another
01:27:20.760 | research group
01:27:21.460 | did that same model
01:27:22.780 | got mice
01:27:26.320 | to have an
01:27:26.960 | anti-seizure effect
01:27:28.120 | from a ketogenic diet
01:27:29.320 | and then
01:27:31.620 | dissected their brains
01:27:32.960 | looking for
01:27:34.040 | what changed
01:27:34.900 | in the brain.
01:27:35.660 | How exactly
01:27:38.140 | is a ketogenic diet
01:27:39.480 | having an
01:27:41.260 | anti-seizure effect
01:27:42.460 | in the brain
01:27:43.360 | because that's
01:27:44.160 | the pathology
01:27:46.500 | the pathological
01:27:47.840 | finding
01:27:48.340 | seizure
01:27:48.740 | is occurring
01:27:49.620 | in the brain
01:27:50.380 | and when they
01:27:52.900 | analyzed
01:27:54.140 | genetic changes
01:27:56.480 | upregulation
01:27:57.360 | downregulation
01:27:58.260 | it all
01:27:59.400 | centered on
01:28:00.620 | mitochondria
01:28:01.500 | that the
01:28:03.100 | changes
01:28:03.640 | in the gut
01:28:04.900 | were resulting
01:28:06.420 | in mitochondrial
01:28:08.160 | changes
01:28:08.760 | in the brain
01:28:09.840 | which means
01:28:10.720 | brain energy
01:28:11.960 | metabolism
01:28:12.680 | in the brain
01:28:14.860 | so again
01:28:17.520 | an umbrella
01:28:19.340 | theory
01:28:19.840 | doesn't replace
01:28:20.680 | what we know
01:28:21.300 | it's not
01:28:22.580 | gut microbiome
01:28:23.720 | or serotonin
01:28:24.700 | it's not
01:28:25.680 | gut microbiome
01:28:26.720 | or mitochondria
01:28:27.660 | it's both
01:28:28.700 | both of them
01:28:30.040 | are true
01:28:30.800 | and it's all
01:28:31.680 | interconnected
01:28:34.820 | do think
01:28:35.600 | we've got
01:28:36.080 | more than
01:28:37.140 | enough data
01:28:37.700 | that ketogenic
01:28:39.680 | therapies
01:28:40.420 | impact
01:28:42.100 | brain
01:28:42.800 | metabolism
01:28:43.700 | which then
01:28:44.560 | impacts
01:28:45.220 | neurotransmitters
01:28:46.640 | that's
01:28:47.320 | really what
01:28:49.060 | I hope
01:28:50.380 | will become
01:28:50.940 | one of
01:28:52.100 | really important
01:28:53.720 | studies
01:28:54.580 | published
01:28:56.800 | published
01:28:58.260 | Campbell
01:28:59.400 | colleagues
01:29:00.080 | in the
01:29:03.080 | pilot
01:29:03.400 | trial
01:29:04.580 | patients
01:29:05.020 | bipolar
01:29:05.360 | disorder
01:29:05.900 | put on
01:29:06.600 | ketogenic
01:29:06.980 | diets
01:29:08.620 | found
01:29:11.000 | ranging
01:29:11.380 | improvements
01:29:12.180 | metabolic
01:29:12.540 | health
01:29:13.240 | biomarkers
01:29:14.260 | weight
01:29:14.600 | blood
01:29:14.880 | pressure
01:29:15.140 | other
01:29:15.380 | things
01:29:17.220 | found
01:29:17.620 | reduction
01:29:18.960 | brain
01:29:20.000 | glutamate
01:29:21.900 | activity
01:29:22.580 | which
01:29:23.440 | often
01:29:23.720 | associated
01:29:24.520 | bipolar
01:29:24.840 | disorder
01:29:25.400 | hyperexcitability
01:29:26.820 | seizures
01:29:29.220 | helps
01:29:29.640 | understand
01:29:30.100 | again
01:29:31.080 | metabolic
01:29:33.520 | glutamate
01:29:34.420 | a neurotransmitter
01:29:35.360 | it's both
01:29:37.420 | putting it
01:29:37.880 | together
01:29:38.260 | yeah the
01:29:38.880 | Campbell
01:29:39.160 | study is
01:29:39.580 | really
01:29:39.840 | interesting
01:29:40.240 | we will
01:29:40.920 | link to
01:29:41.520 | in the
01:29:42.160 | captions
01:29:43.360 | incidentally
01:29:43.900 | we will
01:29:45.780 | American
01:29:46.940 | Heart
01:29:47.200 | Association
01:29:47.840 | appalling
01:29:48.620 | quote
01:29:50.220 | unquote
01:29:50.500 | testimony
01:29:51.380 | sorry
01:29:53.680 | sorry
01:29:55.980 | sorry
01:29:57.740 | again
01:29:58.480 | physician
01:29:59.520 | don't
01:29:59.940 | worry
01:30:00.100 | about
01:30:00.640 | maybe
01:30:01.200 | anyway
01:30:03.720 | cardiologist
01:30:06.200 | is there
01:30:06.620 | rationale
01:30:08.600 | people
01:30:09.080 | don't
01:30:09.600 | epilepsy
01:30:10.360 | don't
01:30:10.660 | suffer
01:30:11.320 | bipolar
01:30:12.080 | schizophrenia
01:30:15.600 | myself
01:30:16.060 | would
01:30:17.380 | mitochondrial
01:30:18.180 | function
01:30:18.820 | strong
01:30:20.000 | possible
01:30:21.920 | doing
01:30:22.520 | brief
01:30:23.240 | ketogenic
01:30:23.960 | intervention
01:30:25.420 | the answer
01:30:27.680 | intermittent
01:30:28.420 | and I'm
01:30:29.420 | so I'm
01:30:29.780 | gonna
01:30:31.360 | ketogenic
01:30:32.020 | with other
01:30:32.680 | fasting
01:30:33.140 | mimicking
01:30:33.580 | diets
01:30:34.600 | fasting
01:30:35.000 | itself
01:30:36.460 | intermittent
01:30:37.000 | fasting
01:30:37.620 | or can
01:30:38.140 | cycles
01:30:39.040 | fasting
01:30:40.440 | health
01:30:41.200 | improving
01:30:41.880 | qualities
01:30:44.000 | or health
01:30:44.840 | improving
01:30:45.260 | effects
01:30:46.020 | absolutely
01:30:48.740 | interestingly
01:30:51.120 | before I
01:30:52.260 | talk about
01:30:52.700 | even some
01:30:53.180 | of the
01:30:53.560 | science
01:30:54.460 | on this
01:30:55.200 | and it's
01:30:56.080 | super
01:30:56.820 | robust
01:30:57.820 | because
01:30:58.200 | again
01:30:58.480 | we don't
01:30:59.840 | studies
01:31:00.520 | there's
01:31:02.340 | money
01:31:03.580 | dietary
01:31:04.040 | interventions
01:31:04.600 | really
01:31:05.400 | there's
01:31:05.920 | patent
01:31:06.760 | nobody
01:31:07.980 | cares
01:31:08.400 | about
01:31:08.740 | dietary
01:31:09.160 | interventions
01:31:10.260 | there are
01:31:10.480 | a lot
01:31:10.840 | studies
01:31:11.300 | exercise
01:31:11.780 | interventions
01:31:13.260 | those
01:31:14.260 | they're
01:31:16.360 | randomized
01:31:17.160 | controlled
01:31:17.740 | trials
01:31:18.760 | 10,000
01:31:19.420 | participants
01:31:20.040 | they're
01:31:21.600 | you know
01:31:23.000 | federal
01:31:23.200 | government
01:31:24.740 | large
01:31:26.020 | scale
01:31:26.700 | medication
01:31:27.880 | trials
01:31:28.720 | statin
01:31:30.540 | studies
01:31:31.300 | others
01:31:32.860 | often
01:31:33.600 | don't
01:31:34.920 | I mean
01:31:35.180 | there have
01:31:35.420 | been a few
01:31:35.940 | the women's
01:31:36.440 | health
01:31:36.720 | initiative
01:31:37.140 | funded a
01:31:37.960 | massive
01:31:38.580 | dietary
01:31:39.180 | intervention
01:31:39.660 | study
01:31:40.920 | unfortunately
01:31:41.360 | that was
01:31:41.740 | a huge
01:31:42.380 | disappointment
01:31:42.980 | to the
01:31:43.420 | field
01:31:43.660 | because
01:31:43.940 | it was
01:31:44.160 | negative
01:31:46.520 | randomized
01:31:46.980 | women
01:31:49.460 | doing
01:31:50.020 | you're
01:31:50.220 | eating
01:31:54.180 | didn't
01:31:54.560 | anything
01:31:55.300 | their
01:31:55.700 | heart
01:31:56.660 | health
01:31:57.700 | other
01:31:58.260 | objective
01:32:00.660 | kind of
01:32:01.420 | outcome
01:32:01.900 | measures
01:32:04.620 | another
01:32:06.820 | really
01:32:06.980 | close
01:32:07.800 | people
01:32:08.740 | means
01:32:10.780 | better
01:32:11.720 | standard
01:32:12.120 | American
01:32:15.100 | equivalent
01:32:15.760 | you get
01:32:16.620 | equivalent
01:32:17.180 | health
01:32:17.640 | effects
01:32:21.580 | standard
01:32:22.040 | American
01:32:22.860 | that's
01:32:23.160 | really
01:32:26.080 | diets
01:32:28.680 | people
01:32:29.160 | promote
01:32:30.040 | diets
01:32:31.700 | promoting
01:32:33.660 | speed
01:32:34.200 | science
01:32:36.200 | at least
01:32:36.980 | acknowledge
01:32:37.400 | there are
01:32:37.780 | healthy
01:32:39.420 | though
01:32:40.300 | calories
01:32:40.840 | don't
01:32:41.380 | worry
01:32:41.640 | about
01:32:41.860 | those
01:32:42.080 | calories
01:32:42.560 | worry
01:32:43.880 | about
01:32:44.640 | health
01:32:44.880 | effects
01:32:46.480 | health
01:32:46.700 | effects
01:32:47.640 | gotta
01:32:47.940 | those
01:32:48.120 | monounsaturated
01:32:49.340 | and you
01:32:49.520 | gotta
01:32:49.620 | get your
01:32:49.920 | omega
01:32:50.680 | and you
01:32:51.860 | and i'm a believer
01:32:52.480 | in some butter
01:32:53.620 | here and there
01:32:54.260 | you were asking me
01:32:55.280 | about intermittent
01:32:56.580 | intermittent fasting
01:32:58.820 | so i'll just say
01:33:01.520 | we have a long
01:33:02.860 | history
01:33:03.380 | in multiple
01:33:04.900 | cultures on
01:33:07.180 | earth
01:33:07.620 | for thousands
01:33:08.420 | of years
01:33:09.300 | fasting has
01:33:11.280 | been part
01:33:12.060 | of healing
01:33:13.220 | rituals
01:33:16.060 | india
01:33:17.880 | china
01:33:18.720 | christian
01:33:19.880 | fasting
01:33:21.540 | has been
01:33:22.540 | a part
01:33:23.700 | rituals
01:33:25.520 | you know
01:33:26.260 | most people
01:33:26.680 | just assume
01:33:27.660 | it's religious
01:33:28.280 | folklore
01:33:29.080 | just silliness
01:33:30.320 | or whatever
01:33:30.780 | but i actually
01:33:31.480 | think
01:33:31.960 | millennia
01:33:34.100 | of humans
01:33:34.820 | we're not all
01:33:35.480 | stupid idiots
01:33:36.520 | and that
01:33:37.760 | people
01:33:38.520 | along the way
01:33:39.180 | actually notice
01:33:39.800 | this seems
01:33:40.440 | to do
01:33:41.280 | something
01:33:41.720 | useful
01:33:42.220 | and that's
01:33:43.640 | probably
01:33:44.680 | it found
01:33:45.400 | its way
01:33:45.920 | in every
01:33:46.480 | culture
01:33:46.960 | and persisted
01:33:48.300 | for thousands
01:33:48.780 | of years
01:33:49.360 | because there
01:33:49.780 | was actually
01:33:50.140 | something
01:33:50.460 | meaningful
01:33:50.860 | happening
01:33:52.700 | what we
01:33:53.480 | have now
01:33:54.200 | in terms
01:33:57.000 | controlled
01:33:57.740 | trials
01:33:58.480 | i'm gonna
01:33:59.500 | valter
01:34:00.100 | longo
01:34:02.320 | he doesn't
01:34:03.420 | call his
01:34:04.160 | diet a
01:34:04.720 | ketogenic
01:34:05.600 | although it
01:34:06.740 | ketogenic
01:34:07.740 | he calls
01:34:08.480 | his diet
01:34:09.040 | a fasting
01:34:09.660 | mimicking
01:34:10.760 | and it's
01:34:11.500 | primarily
01:34:11.920 | a plant
01:34:12.760 | based
01:34:14.340 | calorie
01:34:15.000 | a day
01:34:16.160 | some people
01:34:16.760 | are gonna
01:34:17.000 | hear that
01:34:17.440 | and just
01:34:19.040 | it is
01:34:20.320 | proprietary
01:34:21.100 | to him
01:34:21.980 | i have no
01:34:22.700 | relationship
01:34:23.180 | with him
01:34:23.620 | i'm not
01:34:24.060 | promoting
01:34:24.500 | his product
01:34:25.180 | but he
01:34:25.480 | has a
01:34:25.780 | proprietary
01:34:26.320 | product
01:34:27.160 | called
01:34:27.840 | prolon
01:34:28.680 | you can
01:34:29.660 | get the
01:34:30.040 | benefits
01:34:30.400 | by just
01:34:30.800 | not eating
01:34:31.320 | anything
01:34:31.780 | or by
01:34:32.380 | eating
01:34:33.260 | calories
01:34:33.880 | a day
01:34:34.300 | i mean
01:34:34.580 | you can
01:34:34.880 | you don't
01:34:35.540 | need to
01:34:35.900 | buy that
01:34:36.580 | proprietary
01:34:37.100 | product
01:34:37.840 | but because
01:34:38.780 | he is
01:34:39.460 | selling
01:34:40.160 | product
01:34:40.680 | i believe
01:34:42.680 | using
01:34:43.100 | most or
01:34:44.000 | all of
01:34:44.640 | funds
01:34:46.180 | most or
01:34:47.880 | all of
01:34:48.140 | the proceeds
01:34:48.640 | from the
01:34:49.560 | sale of
01:34:50.280 | to fund
01:34:50.900 | research
01:34:51.420 | on it
01:34:52.100 | they've
01:34:53.400 | a series
01:34:53.880 | of studies
01:34:55.160 | five-day
01:34:56.180 | cycles
01:34:56.880 | several
01:34:58.500 | times a
01:34:59.540 | seem to
01:35:00.720 | be fine
01:35:01.480 | and improve
01:35:02.700 | a wide
01:35:04.200 | range
01:35:04.820 | of health
01:35:05.480 | biomarkers
01:35:06.520 | interesting
01:35:06.940 | and there's
01:35:08.080 | reason to
01:35:08.660 | believe that
01:35:09.220 | it may
01:35:10.140 | improve
01:35:10.920 | metabolic
01:35:11.420 | health
01:35:12.100 | and longevity
01:35:13.200 | so he's
01:35:13.980 | primarily a
01:35:14.660 | longevity
01:35:15.140 | aging
01:35:15.780 | researcher
01:35:16.360 | he is
01:35:18.100 | promoting
01:35:19.740 | could
01:35:20.260 | ketogenic
01:35:20.940 | diets
01:35:22.260 | produce
01:35:23.380 | similar
01:35:23.900 | effects
01:35:24.580 | i believe
01:35:25.660 | they can
01:35:26.460 | again it
01:35:27.640 | gets really
01:35:28.180 | controversial
01:35:29.280 | because
01:35:30.420 | ketogenic
01:35:31.120 | diets
01:35:31.500 | can sometimes
01:35:32.100 | include
01:35:32.460 | red meat
01:35:33.060 | and then
01:35:34.060 | we got
01:35:34.280 | the american
01:35:34.700 | heart
01:35:34.960 | association
01:35:35.500 | telling us
01:35:36.220 | that red
01:35:36.660 | meat's bad
01:35:37.140 | for you
01:35:37.540 | and don't
01:35:37.940 | eat that
01:35:38.240 | red meat
01:35:38.800 | nonsense
01:35:39.260 | and uh
01:35:40.700 | that we
01:35:42.040 | and we
01:35:42.700 | get these
01:35:43.180 | splintering
01:35:44.100 | groups
01:35:44.500 | and we've
01:35:44.840 | got the
01:35:45.160 | vegan
01:35:45.440 | group
01:35:45.800 | saying
01:35:46.160 | that's
01:35:46.500 | awful
01:35:46.820 | for you
01:35:47.740 | unfortunately
01:35:50.960 | it just
01:35:51.400 | leaves
01:35:51.660 | people
01:35:51.980 | confused
01:35:52.580 | about like
01:35:53.300 | what are
01:35:53.880 | we supposed
01:35:54.260 | to do
01:35:54.840 | do we
01:35:55.440 | eat red
01:35:55.980 | do we
01:35:56.220 | not eat
01:35:57.080 | do we
01:35:57.400 | in moderation
01:35:58.160 | from healthy
01:35:58.940 | sources
01:35:59.980 | i feel
01:36:01.080 | like in
01:36:01.600 | moderation
01:36:01.980 | from healthy
01:36:02.540 | sources
01:36:02.900 | not the
01:36:03.480 | processed
01:36:03.940 | stuff
01:36:04.260 | but you
01:36:04.940 | i get it
01:36:05.600 | people have
01:36:05.980 | animal reasons
01:36:06.600 | or environmental
01:36:07.160 | reasons
01:36:07.600 | they don't
01:36:08.020 | do it
01:36:08.940 | you know
01:36:09.740 | the debate
01:36:10.420 | goes on
01:36:10.900 | and on
01:36:11.160 | i've observed
01:36:11.820 | some people
01:36:12.320 | who are
01:36:12.560 | vegan
01:36:12.780 | who seem
01:36:13.100 | very healthy
01:36:13.620 | very robust
01:36:15.040 | aesthetically
01:36:16.040 | they present
01:36:16.840 | well if i'm
01:36:17.880 | just going to be
01:36:18.300 | direct about it
01:36:18.860 | and then i've
01:36:19.340 | seen some people
01:36:20.020 | who go
01:36:20.420 | vegan and
01:36:21.540 | it's the
01:36:22.020 | exact opposite
01:36:22.740 | and then
01:36:23.400 | i've seen
01:36:24.600 | i think the
01:36:25.220 | strict carnivore
01:36:26.080 | thing seems to
01:36:26.720 | work for very
01:36:27.220 | few people
01:36:27.800 | but the ones
01:36:28.840 | who love it
01:36:29.340 | really love it
01:36:30.200 | but even the
01:36:30.920 | folks like
01:36:31.320 | paul saladino
01:36:31.980 | who were
01:36:32.420 | the so-called
01:36:33.380 | you know
01:36:33.620 | carnivore diet
01:36:34.340 | are now
01:36:34.640 | then it became
01:36:35.160 | animal based
01:36:35.780 | and it now
01:36:36.160 | includes fruits
01:36:36.840 | and cucumbers
01:36:37.540 | and tomatoes
01:36:38.140 | and um
01:36:39.300 | some dairy
01:36:40.020 | and you know
01:36:40.640 | and so it's
01:36:41.200 | you know
01:36:41.860 | and honey
01:36:42.460 | and um
01:36:43.180 | and i like paul
01:36:44.340 | i get along
01:36:44.860 | well with paul
01:36:45.340 | i also get along
01:36:45.880 | with lane norton
01:36:46.420 | and they don't
01:36:47.680 | get along
01:36:48.820 | but you know
01:36:49.840 | i i think
01:36:50.420 | it's it's
01:36:51.060 | to each their own
01:36:51.840 | within the context
01:36:52.760 | of um
01:36:54.180 | the correct
01:36:54.680 | number of calories
01:36:55.480 | for a given
01:36:56.660 | person
01:36:57.060 | and their activity
01:36:57.740 | levels
01:36:58.160 | but this idea
01:36:59.120 | of doing a
01:36:59.640 | periodically doing
01:37:01.180 | a perhaps a fast
01:37:02.820 | along the lines
01:37:03.500 | of the long
01:37:03.940 | go um
01:37:04.980 | uh prolong thing
01:37:06.840 | or uh
01:37:08.500 | or a total fast
01:37:10.900 | or water fast
01:37:11.560 | i guess it's called
01:37:12.220 | or um
01:37:14.020 | perhaps intermittent
01:37:16.140 | fasting on a
01:37:16.980 | on a more
01:37:17.560 | reasonable schedule
01:37:18.860 | are there any data
01:37:19.680 | on that
01:37:20.100 | like eating only
01:37:21.320 | between the hours
01:37:22.020 | of say
01:37:22.520 | 11 a.m.
01:37:23.380 | and 7 p.m.
01:37:24.140 | which is i
01:37:24.540 | which is what i happen
01:37:25.440 | to do reflexively
01:37:26.280 | unless i wake up
01:37:26.960 | very hungry
01:37:27.380 | which is really rare
01:37:28.600 | i don't know why
01:37:29.200 | maybe it's a function
01:37:30.040 | of getting older
01:37:30.680 | but is there
01:37:32.180 | any evidence
01:37:32.760 | that intermittent
01:37:33.620 | fasting that doesn't
01:37:34.540 | involve entire day
01:37:35.560 | and night fasts
01:37:36.600 | but more of the
01:37:37.440 | you know time
01:37:38.380 | restricted feeding
01:37:39.300 | to eight hours
01:37:40.600 | or six hours
01:37:41.260 | that it can be
01:37:41.860 | beneficial for
01:37:42.480 | mitochondrial function
01:37:43.340 | if it's done
01:37:44.560 | for short bouts
01:37:46.040 | of two to four weeks
01:37:47.080 | my understanding
01:37:48.700 | of the literature
01:37:49.360 | is that
01:37:50.380 | it's a mixed
01:37:51.500 | when it comes
01:37:52.660 | to time
01:37:53.240 | restricted eating
01:37:54.200 | and intermittent
01:37:55.360 | fasting
01:37:56.000 | because more
01:37:58.760 | often than not
01:37:59.880 | they don't
01:38:00.920 | control what
01:38:01.560 | people are eating
01:38:02.600 | when they're
01:38:03.460 | eating
01:38:03.860 | oh well that's
01:38:05.240 | no good
01:38:05.600 | so they just
01:38:06.320 | those studies
01:38:07.580 | mostly are designed
01:38:08.760 | to just say
01:38:09.500 | don't eat
01:38:10.300 | only eat between
01:38:11.360 | 11 a.m.
01:38:12.140 | and 7 p.m.
01:38:13.340 | because
01:38:14.020 | eat whatever you
01:38:15.380 | but it doesn't
01:38:16.340 | matter like
01:38:16.720 | and as though
01:38:17.500 | it doesn't
01:38:18.220 | matter what
01:38:18.700 | they're eating
01:38:19.160 | and some
01:38:19.580 | people are
01:38:20.100 | binging on
01:38:20.980 | ultra processed
01:38:21.820 | foods
01:38:22.440 | and others
01:38:23.360 | are eating
01:38:24.120 | like an adult
01:38:25.040 | and then you've
01:38:27.140 | got everything
01:38:27.480 | in between
01:38:28.180 | as though that
01:38:29.340 | doesn't play
01:38:30.940 | a role
01:38:31.460 | and so you get
01:38:32.920 | these studies
01:38:33.780 | that say it
01:38:34.260 | doesn't do
01:38:34.640 | anything useful
01:38:35.440 | you get other
01:38:36.260 | studies that say
01:38:36.900 | maybe it does
01:38:37.440 | something useful
01:38:38.180 | so I think
01:38:40.020 | I mean
01:38:41.620 | at the end
01:38:42.340 | of the day
01:38:42.680 | I will say
01:38:43.760 | you know
01:38:45.760 | you know
01:38:47.040 | I've been
01:38:47.240 | talking
01:38:47.600 | a while
01:38:48.400 | with a
01:38:49.140 | really seasoned
01:38:50.680 | established
01:38:51.720 | expert
01:38:53.560 | in the
01:38:54.160 | nutritional
01:38:54.580 | space
01:38:55.120 | in the
01:38:55.380 | conservative
01:38:55.960 | nutritional
01:38:57.000 | space
01:38:57.580 | he's held
01:38:58.040 | several government
01:38:58.920 | positions
01:38:59.440 | he's helped
01:39:00.120 | presidents
01:39:01.260 | others
01:39:03.320 | campaigns
01:39:04.920 | he has
01:39:05.780 | made a
01:39:06.400 | very strong
01:39:07.080 | case to me
01:39:09.260 | you know
01:39:10.500 | less than
01:39:10.880 | five percent
01:39:11.960 | of the research
01:39:14.180 | budget from the
01:39:15.440 | is spent
01:39:16.300 | on nutritional
01:39:16.980 | research
01:39:17.820 | the NIH
01:39:21.020 | an office
01:39:22.980 | called the
01:39:24.600 | Office of
01:39:25.080 | Nutritional
01:39:25.500 | Research
01:39:26.160 | focused on
01:39:27.580 | organizing
01:39:30.160 | collaborations
01:39:31.740 | among different
01:39:33.280 | institutes
01:39:34.600 | and centers
01:39:35.340 | and their
01:39:36.980 | annual budget
01:39:38.400 | for a major
01:39:40.880 | government
01:39:41.800 | organization
01:39:42.520 | their annual
01:39:43.180 | budget
01:39:46.140 | million
01:39:47.420 | with an
01:39:48.460 | dollars
01:39:49.260 | which is a
01:39:52.340 | it is a
01:39:52.960 | laughable
01:39:54.080 | can't do
01:39:54.400 | much with
01:39:55.660 | without
01:39:56.340 | trying to
01:39:57.040 | make this
01:39:57.400 | political
01:39:57.920 | there have
01:39:58.560 | been people
01:39:59.140 | who've tried
01:39:59.640 | to increase
01:40:00.200 | the funding
01:40:02.180 | nutrition
01:40:02.980 | research
01:40:03.700 | recently
01:40:06.700 | was proposed
01:40:07.280 | to increase
01:40:08.000 | that funding
01:40:08.540 | to 130
01:40:09.460 | million
01:40:09.900 | dollars
01:40:10.460 | and it
01:40:12.140 | was cut
01:40:13.060 | that idea
01:40:14.720 | was killed
01:40:16.480 | by the
01:40:18.080 | lobbyists
01:40:18.920 | of the
01:40:20.220 | food companies
01:40:21.220 | I'm going to
01:40:21.820 | get really
01:40:22.160 | vocal about
01:40:22.700 | this lobbying
01:40:23.340 | through the
01:40:23.760 | American Heart
01:40:24.220 | Association
01:40:24.560 | thing because
01:40:25.380 | I was just
01:40:26.360 | shocked
01:40:27.220 | for all the
01:40:28.060 | obvious reasons
01:40:28.660 | American Heart
01:40:29.260 | Association
01:40:29.800 | you assume
01:40:30.300 | that they
01:40:30.680 | are all
01:40:31.100 | about
01:40:31.300 | healthy
01:40:31.640 | hearts
01:40:31.960 | and we
01:40:32.360 | metabolism
01:40:33.100 | healthy
01:40:34.760 | weight
01:40:35.420 | activity
01:40:36.400 | healthy
01:40:36.860 | hearts
01:40:37.120 | and it
01:40:37.420 | was so
01:40:37.900 | clear
01:40:38.160 | that they
01:40:38.420 | were on
01:40:38.700 | the take
01:40:39.120 | from these
01:40:40.380 | companies
01:40:40.740 | and that's
01:40:41.260 | why they
01:40:41.780 | even just
01:40:42.480 | the timing
01:40:42.980 | and the
01:40:43.280 | delivery
01:40:43.540 | again I'll
01:40:44.020 | post to the
01:40:44.680 | because it's
01:40:45.120 | just like
01:40:45.960 | jaw-dropping
01:40:47.180 | like I can't
01:40:47.780 | believe this
01:40:48.160 | it's like
01:40:48.460 | the old
01:40:50.120 | commercials
01:40:50.540 | of the people
01:40:51.000 | from the
01:40:51.480 | cigarette
01:40:51.740 | industry
01:40:52.140 | saying
01:40:52.520 | the cigarettes
01:40:53.520 | don't cause
01:40:54.080 | cancer
01:40:54.440 | and they know
01:40:55.280 | it does
01:40:55.780 | and we're
01:40:56.680 | just this is
01:40:57.260 | happening now
01:40:57.840 | in real time
01:40:58.600 | and this
01:40:59.560 | conversation will
01:41:00.260 | certainly assist
01:41:00.860 | in drawing
01:41:01.540 | attention to
01:41:02.100 | this I'll
01:41:02.420 | probably do a
01:41:02.780 | social media
01:41:03.260 | post on it
01:41:03.940 | as well
01:41:04.320 | but there's
01:41:05.120 | this this
01:41:06.340 | thing that
01:41:06.900 | happens in
01:41:07.500 | medicine and
01:41:08.060 | public health
01:41:08.660 | where the
01:41:09.760 | thing that's so
01:41:10.660 | obviously the
01:41:11.400 | problem is like
01:41:12.180 | it's not even
01:41:12.680 | staring us in
01:41:13.400 | the face it's
01:41:13.900 | like slapping
01:41:14.560 | us in the
01:41:15.020 | face and we
01:41:16.100 | take 20 to
01:41:17.460 | 30 years
01:41:18.180 | relying largely
01:41:19.520 | on messaging
01:41:21.780 | through Hollywood
01:41:22.720 | what actors
01:41:24.420 | are doing
01:41:24.780 | what athletes
01:41:25.320 | are doing
01:41:25.620 | then people
01:41:26.000 | are like oh
01:41:26.400 | yeah maybe
01:41:26.880 | this is a
01:41:27.320 | thing and
01:41:27.680 | then think
01:41:28.620 | the battleship
01:41:29.480 | just like
01:41:30.520 | eventually just
01:41:31.460 | pivots but
01:41:32.980 | there's been
01:41:33.340 | decades of
01:41:34.160 | horrible
01:41:35.480 | misfortune and
01:41:36.580 | loss in
01:41:37.420 | mental health
01:41:38.200 | and physical
01:41:38.600 | health people
01:41:39.060 | thinking that
01:41:39.520 | there's something
01:41:39.880 | wrong with
01:41:40.500 | them or you
01:41:41.200 | know etc
01:41:43.680 | etc I mean
01:41:45.160 | it's asinine
01:41:46.420 | it's crazy
01:41:47.240 | and so I'm
01:41:48.520 | excited about
01:41:49.180 | Maha even
01:41:49.820 | though I don't
01:41:50.200 | have any
01:41:50.460 | affiliation to
01:41:51.180 | it because it
01:41:51.660 | it's it's the
01:41:53.020 | first time in
01:41:53.440 | my lifetime
01:41:53.940 | that anyone
01:41:56.200 | said like hey
01:41:56.800 | let's actually
01:41:57.220 | just talk about
01:41:57.880 | and think about
01:41:58.300 | how to really
01:41:58.760 | get healthy
01:41:59.160 | what do we
01:41:59.480 | know right
01:41:59.840 | now and
01:42:00.980 | so I'm not
01:42:01.740 | a political
01:42:02.120 | person but I
01:42:02.820 | think it's
01:42:03.140 | really important
01:42:04.020 | that we get
01:42:06.160 | focused on what's
01:42:07.720 | literally slapping
01:42:08.680 | us right in the
01:42:09.260 | face with like
01:42:10.560 | this is absurd
01:42:11.460 | forgive me for
01:42:12.440 | editorializing here
01:42:13.360 | but we keep
01:42:14.040 | coming back to
01:42:14.700 | this we know
01:42:15.580 | what we need
01:42:16.360 | to do
01:42:16.720 | we know
01:42:17.780 | what we need
01:42:18.300 | to do but
01:42:18.980 | yeah we have
01:42:20.020 | not had the
01:42:20.560 | political will
01:42:21.200 | to do it
01:42:21.820 | I think the
01:42:22.720 | hope is that
01:42:23.660 | one hopefully
01:42:26.100 | of many good
01:42:26.760 | things that
01:42:27.560 | could come out
01:42:28.320 | of Maha
01:42:29.180 | is separating
01:42:32.460 | industry interests
01:42:34.640 | from the health
01:42:38.060 | and welfare
01:42:39.260 | of the American
01:42:40.680 | population
01:42:41.380 | I think if we
01:42:42.920 | can do that
01:42:43.860 | and we can
01:42:45.160 | begin doing
01:42:45.980 | unbiased
01:42:46.760 | research
01:42:47.460 | to really
01:42:48.860 | determine
01:42:49.420 | what is it
01:42:50.820 | about ultra
01:42:51.300 | processed foods
01:42:52.260 | that results
01:42:53.640 | in harm
01:42:54.280 | we know
01:42:56.120 | they result
01:42:56.660 | in harm
01:42:57.140 | is it just
01:42:57.640 | that they're
01:42:57.980 | so delicious
01:42:58.720 | that people
01:42:59.300 | consume
01:42:59.860 | extra calories
01:43:01.020 | and it's
01:43:02.240 | still just as
01:43:02.900 | simple as
01:43:03.420 | calories
01:43:03.840 | or is it
01:43:05.460 | that there's
01:43:05.920 | something in
01:43:06.460 | those chemicals
01:43:07.060 | that makes
01:43:08.460 | the foods
01:43:09.120 | addictive
01:43:09.640 | or is it
01:43:11.100 | that there's
01:43:11.500 | something in
01:43:12.000 | those chemicals
01:43:13.260 | that actually
01:43:14.160 | impairs
01:43:14.880 | mitochondrial
01:43:15.600 | function
01:43:16.180 | I think we
01:43:17.540 | have evidence
01:43:18.160 | to support
01:43:19.020 | all three
01:43:19.700 | of those
01:43:20.320 | hypotheses
01:43:21.220 | do people
01:43:22.980 | consume
01:43:23.360 | extra
01:43:23.660 | calories
01:43:24.420 | you cited
01:43:24.920 | one of
01:43:25.540 | now many
01:43:26.660 | studies
01:43:27.100 | documenting
01:43:28.280 | are they
01:43:29.220 | addictive
01:43:30.680 | unequivocally
01:43:31.400 | they are
01:43:32.340 | I mean the
01:43:34.260 | most common
01:43:34.820 | eating disorder
01:43:35.600 | diagnosed today
01:43:36.560 | in the United
01:43:37.040 | States is called
01:43:38.040 | binge eating
01:43:38.880 | disorder
01:43:39.440 | what are the
01:43:41.340 | criteria for
01:43:42.080 | binge eating
01:43:42.680 | disorder
01:43:43.200 | basically
01:43:45.400 | addiction to
01:43:46.140 | ultra processed
01:43:46.720 | foods
01:43:47.220 | is really
01:43:48.180 | if you look
01:43:48.760 | at the criteria
01:43:49.480 | and if you
01:43:50.080 | look at the
01:43:50.580 | behaviors
01:43:51.120 | when people
01:43:52.400 | engage in
01:43:53.080 | binges
01:43:53.700 | they're not
01:43:54.480 | binging
01:43:54.940 | on steak
01:43:56.200 | and broccoli
01:43:59.140 | like never
01:44:00.840 | never are they
01:44:02.080 | binging on
01:44:02.800 | steak and
01:44:03.360 | broccoli
01:44:03.780 | they're binging
01:44:05.420 | almost exclusively
01:44:07.740 | on ultra processed
01:44:08.900 | foods
01:44:09.500 | and then they go
01:44:11.420 | through these
01:44:11.880 | cycles where they
01:44:12.720 | binge on them
01:44:13.580 | and then they
01:44:13.980 | beat themselves
01:44:14.520 | up and they
01:44:15.180 | feel disgusting
01:44:16.100 | and they're
01:44:16.820 | ashamed
01:44:17.780 | and they're
01:44:18.280 | humiliated
01:44:20.260 | and then
01:44:22.260 | they try
01:44:22.780 | their best
01:44:23.280 | they white
01:44:23.860 | knuckle it
01:44:24.420 | to avoid
01:44:24.920 | those foods
01:44:25.720 | and then
01:44:26.260 | something bad
01:44:27.140 | happens in
01:44:27.760 | their life
01:44:28.240 | they get
01:44:28.640 | stressed
01:44:29.360 | somebody
01:44:29.960 | cuts them
01:44:30.820 | off in
01:44:31.240 | traffic
01:44:31.700 | they've had
01:44:32.220 | a hard day
01:44:32.740 | at work
01:44:33.180 | their boss
01:44:33.680 | came down
01:44:34.180 | on them
01:44:34.520 | whatever
01:44:35.740 | and then
01:44:36.320 | they go
01:44:36.720 | home and
01:44:37.240 | they're like
01:44:37.780 | you know
01:44:38.480 | screw it
01:44:39.220 | I hate
01:44:39.780 | my life
01:44:40.300 | I hate
01:44:40.660 | myself
01:44:41.180 | I don't
01:44:41.980 | health doesn't
01:44:43.060 | even matter
01:44:43.520 | for me
01:44:44.100 | I'm worthless
01:44:45.280 | and I
01:44:47.100 | may as well
01:44:47.900 | just enjoy
01:44:48.940 | myself
01:44:49.540 | and just
01:44:50.620 | like an
01:44:51.040 | alcoholic
01:44:51.540 | would
01:44:51.960 | just like
01:44:52.560 | a cocaine
01:44:53.140 | addict
01:44:53.640 | would
01:44:54.080 | it's not
01:44:56.560 | that people
01:44:57.160 | are using
01:44:57.620 | every single
01:44:58.720 | you know
01:44:59.780 | they go
01:45:00.100 | through
01:45:00.280 | cycles
01:45:04.400 | really
01:45:04.800 | tragic
01:45:05.400 | Harvard
01:45:05.960 | Medical
01:45:06.540 | School
01:45:07.500 | literally
01:45:08.060 | two days
01:45:08.900 | came out
01:45:09.400 | with an
01:45:09.680 | article
01:45:10.060 | is sugar
01:45:10.720 | addictive
01:45:11.240 | and their
01:45:13.700 | conclusion
01:45:15.700 | because
01:45:16.100 | sugar
01:45:16.420 | is found
01:45:16.760 | in fruit
01:45:17.220 | so it
01:45:17.520 | can't
01:45:17.840 | addictive
01:45:18.140 | I'm like
01:45:18.880 | really
01:45:19.320 | is that
01:45:19.820 | and they
01:45:20.140 | not the same
01:45:21.000 | sugar
01:45:21.340 | they went
01:45:21.700 | out of their
01:45:22.280 | way to say
01:45:22.960 | well you know
01:45:23.580 | like it's not
01:45:24.560 | like addictive
01:45:25.080 | like alcohol
01:45:25.860 | and nicotine
01:45:26.700 | because people
01:45:27.380 | sometimes have
01:45:28.020 | trouble stopping
01:45:29.000 | those completely
01:45:30.120 | and I'm
01:45:31.580 | thinking
01:45:31.900 | and what
01:45:32.940 | do you think
01:45:33.360 | is different
01:45:33.820 | about sugar
01:45:35.440 | do you
01:45:36.660 | really
01:45:37.120 | don't
01:45:38.740 | understand
01:45:39.280 | that some
01:45:39.920 | people
01:45:40.200 | can't
01:45:41.540 | consuming
01:45:42.920 | ultra
01:45:44.480 | processed
01:45:45.620 | sugar
01:45:46.140 | foods
01:45:47.800 | really
01:45:48.140 | don't
01:45:48.440 | understand
01:45:49.580 | are you
01:45:49.980 | living
01:45:50.500 | in an
01:45:52.180 | ivory
01:45:52.440 | tower
01:45:54.740 | and I'm
01:45:55.900 | certainly
01:45:57.080 | not any
01:45:57.460 | longer
01:45:57.740 | and it's
01:45:58.440 | also I
01:45:58.780 | think
01:45:58.880 | important
01:45:59.240 | that the
01:45:59.740 | highly
01:46:00.000 | processed
01:46:00.420 | foods
01:46:00.740 | and the
01:46:01.000 | palatability
01:46:01.600 | and the
01:46:02.060 | accessibility
01:46:02.600 | and the
01:46:03.900 | right
01:46:04.300 | we're
01:46:04.620 | talking
01:46:05.000 | about
01:46:05.320 | eliminating
01:46:08.420 | pastries
01:46:09.080 | I think
01:46:09.500 | sometimes
01:46:09.820 | people think
01:46:10.400 | oh I'll
01:46:11.040 | never have
01:46:11.600 | a muffin
01:46:12.000 | again
01:46:12.380 | I'll never
01:46:12.860 | have a chocolate
01:46:13.560 | croissant
01:46:13.940 | that's not
01:46:14.580 | really what
01:46:15.280 | we're talking
01:46:15.720 | about
01:46:16.060 | we're not
01:46:16.820 | talking about
01:46:17.300 | a homemade
01:46:18.380 | we're not
01:46:18.800 | talking about
01:46:19.180 | cupcakes
01:46:19.520 | we're talking
01:46:20.140 | about
01:46:20.500 | things that
01:46:21.460 | are easily
01:46:22.360 | purchased
01:46:23.100 | at low
01:46:24.140 | unpackaged
01:46:25.160 | eaten
01:46:25.520 | in transit
01:46:26.340 | what we're
01:46:27.060 | doing I
01:46:27.540 | I realize
01:46:28.240 | is painting
01:46:29.080 | this picture
01:46:29.700 | of a little
01:46:30.820 | bit of the
01:46:31.560 | the recent
01:46:32.440 | but what
01:46:33.060 | you do
01:46:33.280 | so beautifully
01:46:33.840 | is you
01:46:34.260 | you're really
01:46:35.160 | orienting us
01:46:36.000 | where we are
01:46:37.000 | and that
01:46:37.700 | the fact
01:46:38.020 | that we
01:46:38.440 | need more
01:46:38.780 | science
01:46:39.140 | but we
01:46:39.480 | we know
01:46:39.920 | an awful
01:46:40.660 | and there's
01:46:41.180 | so much
01:46:41.540 | that we
01:46:41.840 | can do
01:46:42.300 | and these
01:46:43.120 | six pillars
01:46:43.720 | of diet
01:46:44.640 | exercise
01:46:44.980 | sleep
01:46:45.500 | avoiding
01:46:46.460 | excessive
01:46:46.840 | substance
01:46:47.320 | abuse
01:46:47.760 | or use
01:46:48.380 | or abuse
01:46:48.960 | excuse me
01:46:49.460 | stress
01:46:49.920 | mitigation
01:46:50.340 | relationships
01:46:50.980 | and purpose
01:46:51.580 | which center
01:46:53.140 | back on
01:46:53.620 | mitochondrial
01:46:54.260 | health
01:46:54.640 | could we
01:46:55.500 | talk about
01:46:55.980 | some of
01:46:56.860 | other
01:46:58.380 | things that
01:46:58.860 | we can
01:46:59.100 | do for
01:46:59.360 | mitochondrial
01:46:59.900 | health
01:47:00.280 | things we
01:47:00.840 | can take
01:47:01.280 | these days
01:47:02.180 | we're hearing
01:47:02.520 | a lot
01:47:02.900 | about
01:47:03.220 | creatine
01:47:03.780 | what are
01:47:05.140 | the data
01:47:05.400 | on creatine
01:47:06.180 | and mitochondrial
01:47:07.260 | function
01:47:07.620 | or brain
01:47:07.960 | function
01:47:08.300 | I'm not
01:47:08.640 | familiar
01:47:08.920 | with these
01:47:09.520 | I should
01:47:11.220 | creatine
01:47:14.600 | molecule
01:47:15.200 | that is
01:47:16.540 | foundational
01:47:18.260 | energy
01:47:19.180 | transformation
01:47:20.300 | in cells
01:47:22.560 | creatine
01:47:23.380 | goes into
01:47:24.920 | the mitochondria
01:47:27.920 | there
01:47:30.980 | combined
01:47:33.540 | become
01:47:33.920 | phosphocreatine
01:47:37.660 | leaves
01:47:38.500 | mitochondrion
01:47:41.140 | places
01:47:42.340 | where
01:47:43.200 | energy
01:47:44.420 | needed
01:47:45.620 | synapse
01:47:47.640 | ribosome
01:47:48.280 | that's
01:47:48.540 | trying
01:47:49.480 | proteins
01:47:50.360 | something
01:47:52.060 | places
01:47:52.800 | where
01:47:53.000 | energy
01:47:53.520 | needed
01:47:56.120 | combine
01:47:59.260 | converted
01:48:01.620 | basically
01:48:02.240 | phosphate
01:48:02.680 | shuttle
01:48:03.280 | creatine
01:48:04.940 | phosphate
01:48:05.320 | shuttle
01:48:06.700 | foundational
01:48:09.540 | energy
01:48:10.620 | metabolism
01:48:12.580 | foundational
01:48:14.260 | mitochondrial
01:48:15.380 | function
01:48:17.640 | bodies
01:48:18.320 | produce
01:48:18.820 | creatine
01:48:21.320 | their
01:48:23.620 | essential
01:48:24.080 | vitamins
01:48:24.940 | nutrients
01:48:28.520 | there
01:48:29.180 | several
01:48:29.860 | those
01:48:32.060 | consume
01:48:32.620 | creatine
01:48:33.400 | creatine
01:48:35.140 | found
01:48:37.460 | animal
01:48:37.940 | based
01:48:38.780 | products
01:48:39.900 | animal
01:48:40.500 | sourced
01:48:41.020 | foods
01:48:42.980 | found
01:48:43.660 | plant
01:48:43.980 | sourced
01:48:44.360 | foods
01:48:50.820 | because
01:48:51.540 | creatine
01:48:53.260 | found
01:48:53.960 | large
01:48:54.260 | quantities
01:48:55.120 | brain
01:48:55.960 | actually
01:48:56.340 | measure
01:48:57.500 | using
01:49:00.400 | scans
01:49:04.060 | there's
01:49:05.960 | a range
01:49:06.680 | people
01:49:07.460 | levels
01:49:08.040 | creatine
01:49:08.940 | people
01:49:09.400 | higher
01:49:09.820 | levels
01:49:10.420 | creatine
01:49:11.080 | people
01:49:14.460 | consume
01:49:15.420 | animal
01:49:15.860 | sourced
01:49:16.260 | foods
01:49:16.880 | vegans
01:49:17.420 | vegetarians
01:49:18.420 | average
01:49:19.440 | lower
01:49:19.900 | levels
01:49:20.520 | creatine
01:49:21.460 | their
01:49:21.600 | brain
01:49:22.940 | muscles
01:49:23.620 | other
01:49:23.820 | tissues
01:49:24.280 | people
01:49:28.100 | neuropsychiatric
01:49:29.660 | disorders
01:49:30.580 | schizophrenia
01:49:32.560 | alzheimer's
01:49:34.080 | disease
01:49:34.540 | depression
01:49:35.200 | have been
01:49:36.340 | found to
01:49:37.040 | lower
01:49:37.620 | levels
01:49:38.580 | creatine
01:49:40.560 | people
01:49:42.520 | those
01:49:42.780 | disorders
01:49:46.420 | reason
01:49:47.060 | believe
01:49:48.340 | creatine
01:49:49.500 | studies
01:49:51.380 | there
01:49:52.200 | association
01:49:53.020 | meaning
01:49:54.540 | correlation
01:49:55.260 | between
01:49:56.800 | levels
01:49:57.340 | creatine
01:49:59.020 | brain
01:49:59.720 | disorders
01:50:00.280 | that we
01:50:01.740 | neurological
01:50:02.300 | or psychiatric
01:50:03.160 | disorders
01:50:03.940 | so the
01:50:05.940 | question
01:50:07.440 | logical
01:50:07.960 | question
01:50:08.580 | from a
01:50:09.000 | scientist
01:50:09.300 | should be
01:50:09.940 | well if we
01:50:11.580 | supplement
01:50:12.580 | with creatine
01:50:13.680 | can that
01:50:14.480 | improve
01:50:15.480 | symptoms of
01:50:16.340 | neuropsychiatric
01:50:17.180 | disorders
01:50:17.780 | and we
01:50:18.880 | do have
01:50:19.720 | evidence
01:50:20.180 | to support
01:50:23.940 | randomized
01:50:24.860 | controlled
01:50:25.380 | trials
01:50:25.880 | in tens
01:50:26.380 | of thousands
01:50:26.800 | of people
01:50:27.320 | because again
01:50:27.780 | that would
01:50:28.260 | require
01:50:28.680 | government
01:50:29.180 | funding
01:50:29.660 | because
01:50:29.880 | creatine
01:50:31.640 | patent
01:50:32.020 | nobody's
01:50:33.000 | going to
01:50:33.200 | make a
01:50:33.540 | lot of
01:50:34.200 | money
01:50:34.500 | from doing
01:50:35.320 | creatine
01:50:35.780 | study
01:50:36.220 | because
01:50:37.220 | anybody
01:50:38.380 | can sell
01:50:38.900 | creatine
01:50:39.440 | anybody
01:50:39.700 | can make
01:50:40.200 | it and
01:50:40.720 | market
01:50:42.720 | patent
01:50:43.160 | but we
01:50:46.080 | do have
01:50:46.840 | randomized
01:50:47.300 | controlled
01:50:47.740 | trial
01:50:48.880 | creatine
01:50:49.440 | showing
01:50:51.400 | improve
01:50:51.800 | symptoms
01:50:52.460 | major
01:50:52.780 | depression
01:50:54.580 | augment
01:50:55.060 | antidepressants
01:50:57.020 | improve
01:50:57.420 | symptoms
01:50:57.940 | bipolar
01:50:58.300 | disorder
01:50:59.600 | improve
01:51:00.320 | symptoms
01:51:01.020 | neurodegenerative
01:51:01.880 | disorders
01:51:02.700 | cognition
01:51:03.920 | Alzheimer's
01:51:04.580 | disease
01:51:05.360 | cognitive
01:51:05.820 | impairment
01:51:07.160 | again
01:51:07.600 | studies
01:51:09.360 | on the
01:51:09.720 | smaller
01:51:10.740 | they're
01:51:12.040 | super
01:51:12.440 | robust
01:51:13.060 | quality
01:51:15.360 | unless
01:51:15.880 | government
01:51:16.220 | steps
01:51:17.140 | unless
01:51:18.320 | steps
01:51:19.360 | funds
01:51:20.200 | large
01:51:22.460 | controlled
01:51:23.080 | randomized
01:51:24.280 | controlled
01:51:24.740 | trial
01:51:25.440 | creatine
01:51:26.080 | versus
01:51:26.460 | placebo
01:51:27.840 | these
01:51:27.960 | conditions
01:51:30.420 | skeptics
01:51:31.260 | and the
01:51:31.600 | hardcore
01:51:31.880 | scientists
01:51:32.360 | are always
01:51:32.740 | going to
01:51:33.120 | well we
01:51:33.380 | don't
01:51:33.860 | quality
01:51:34.800 | we're
01:51:35.000 | never
01:51:35.200 | going to
01:51:35.720 | quality
01:51:36.400 | because
01:51:36.640 | there's
01:51:37.160 | product
01:51:38.160 | that's
01:51:39.020 | where
01:51:39.200 | we're
01:51:39.840 | field
01:51:40.240 | do you
01:51:40.820 | recommend
01:51:41.140 | it to
01:51:41.540 | patients
01:51:42.880 | right
01:51:43.520 | you know
01:51:45.760 | there's
01:51:46.220 | research
01:51:46.620 | coming
01:51:48.620 | there's
01:51:49.500 | reason
01:51:49.980 | believe
01:51:50.760 | maybe
01:51:51.800 | should
01:51:52.380 | recommending
01:51:53.560 | patients
01:51:55.700 | often
01:51:56.440 | currently
01:51:59.400 | certainly
01:51:59.840 | lines
01:52:01.360 | metabolic
01:52:03.360 | mitochondrial
01:52:04.240 | improved
01:52:05.800 | metabolic
01:52:06.140 | health
01:52:06.560 | improved
01:52:06.900 | brain
01:52:07.220 | health
01:52:07.480 | simultaneously
01:52:09.340 | lines up
01:52:10.320 | perfectly
01:52:12.900 | remind
01:52:13.920 | people
01:52:14.440 | before
01:52:15.800 | focus
01:52:17.160 | focus
01:52:18.800 | should
01:52:19.160 | doing
01:52:19.860 | lifestyle
01:52:22.120 | nutrition
01:52:23.520 | getting
01:52:23.800 | adequate
01:52:24.240 | sleep
01:52:25.480 | getting
01:52:26.100 | bright
01:52:26.700 | light
01:52:27.280 | morning
01:52:29.800 | relationships
01:52:30.760 | purpose
01:52:34.360 | overusing
01:52:35.120 | harmful
01:52:35.600 | substances
01:52:36.320 | because
01:52:38.260 | to be
01:52:38.580 | first
01:52:40.180 | you're
01:52:40.600 | doing
01:52:40.880 | those
01:52:41.120 | things
01:52:41.600 | creatine
01:52:42.640 | doesn't
01:52:43.020 | stand
01:52:43.620 | chance
01:52:44.800 | helping
01:52:45.360 | health
01:52:47.180 | stand
01:52:48.300 | chance
01:52:49.420 | improve
01:52:49.860 | health
01:52:50.180 | there
01:52:52.100 | supplement
01:52:55.060 | damage
01:52:57.480 | harmful
01:52:57.940 | lifestyle
01:53:00.400 | health
01:53:03.740 | reality
01:53:04.620 | statistics
01:53:05.580 | abysmal
01:53:07.180 | third
01:53:07.640 | American
01:53:07.980 | adults
01:53:08.700 | getting
01:53:08.920 | adequate
01:53:09.260 | sleep
01:53:11.860 | foods
01:53:12.460 | Americans
01:53:13.080 | consuming
01:53:13.940 | ultra
01:53:14.260 | processed
01:53:14.780 | foods
01:53:17.040 | money
01:53:18.640 | question
01:53:19.200 | should
01:53:20.100 | money
01:53:21.260 | should
01:53:23.080 | change
01:53:24.000 | and my
01:53:24.300 | lifestyle
01:53:24.820 | to improve
01:53:25.880 | my health
01:53:29.000 | yeah I just want to drill that home for people
01:53:31.200 | for better or worse
01:53:34.880 | learned about
01:53:35.500 | methylene blue
01:53:36.400 | from owning fish tanks
01:53:38.540 | you clean fish tanks
01:53:39.800 | with them
01:53:40.940 | or it's a
01:53:41.460 | thing you use
01:53:44.780 | there's a lot of interest in methylene blue
01:53:46.940 | ever since
01:53:47.640 | a video of Robert Kennedy putting methylene blue in his
01:53:50.540 | water on a plane
01:53:52.180 | kind of went viral
01:53:53.600 | methylene blue has been around a very long time
01:53:56.660 | what are your thoughts on it
01:53:57.900 | what does it do
01:53:58.800 | is it
01:53:59.180 | going to help mitochondria
01:54:00.720 | is it for everybody
01:54:01.980 | I don't take it
01:54:03.100 | I don't take it either
01:54:04.960 | and I've not
01:54:06.480 | used it in any patients
01:54:08.040 | so far
01:54:09.000 | but I'm very interested in
01:54:10.920 | possibly
01:54:11.540 | starting
01:54:12.960 | to use it
01:54:14.240 | in controlled
01:54:16.820 | and patients
01:54:17.600 | who clearly need something more
01:54:19.460 | we're doing all of the right things
01:54:21.120 | we're doing the lifestyle things
01:54:22.540 | we're doing ketogenic interventions
01:54:24.060 | or other things
01:54:24.800 | and they still are not well
01:54:26.840 | there's still room for improvement
01:54:29.580 | so methylene blue
01:54:32.560 | as you said
01:54:33.520 | has been around
01:54:34.100 | for a long time
01:54:35.280 | it's relatively cheap
01:54:38.800 | as a fish tank cleaner
01:54:40.700 | methylene blue
01:54:42.560 | fascinatingly
01:54:45.500 | primarily
01:54:46.420 | exclusively
01:54:48.280 | mitochondrial
01:54:49.780 | agent
01:54:51.440 | so it is an
01:54:53.320 | electron
01:54:53.980 | acceptor
01:54:55.720 | and donor
01:54:56.520 | so that is what
01:54:59.080 | methylene blue does
01:55:00.280 | it can accept
01:55:01.180 | electrons
01:55:02.100 | and it can donate
01:55:03.240 | electrons
01:55:03.880 | so it's an electron
01:55:05.340 | shuttle
01:55:05.960 | if you will
01:55:07.620 | how does that relate
01:55:09.140 | to mitochondria
01:55:10.060 | mitochondria
01:55:11.140 | as they are producing
01:55:12.780 | electrons are flowing
01:55:14.620 | down the electron
01:55:16.120 | transport chain
01:55:17.140 | and that is what
01:55:19.160 | results in
01:55:20.140 | the production
01:55:20.900 | of ATP
01:55:21.700 | if it gets
01:55:23.040 | shuttled through
01:55:24.080 | the uncoupling protein
01:55:25.340 | it results in
01:55:26.880 | production
01:55:27.640 | and when
01:55:30.420 | electrons
01:55:31.120 | flow out
01:55:32.940 | of that system
01:55:33.820 | when they leak
01:55:34.600 | out of that system
01:55:35.520 | it creates
01:55:36.440 | reactive oxygen
01:55:37.480 | species
01:55:38.000 | which again
01:55:38.720 | are very harmful
01:55:39.900 | to both mitochondria
01:55:41.160 | and cells
01:55:41.840 | so if you have
01:55:43.500 | dysfunctional
01:55:44.460 | mitochondria
01:55:45.340 | that don't
01:55:47.640 | seem to be
01:55:48.240 | able to
01:55:49.220 | contain
01:55:50.560 | the electrons
01:55:52.620 | appropriately
01:55:53.520 | electrons are
01:55:54.560 | leaking out
01:55:55.320 | so these would
01:55:56.400 | be mitochondria
01:55:57.420 | that are producing
01:55:58.380 | more reactive
01:55:59.560 | oxygen species
01:56:00.620 | than they should
01:56:01.640 | does that ever
01:56:03.640 | happen
01:56:04.080 | in biology
01:56:06.500 | we've got
01:56:07.040 | decades of evidence
01:56:08.280 | that aging
01:56:09.860 | neurodegeneration
01:56:11.600 | even obesity
01:56:13.260 | type 2 diabetes
01:56:14.400 | and a wide
01:56:16.240 | range of
01:56:16.720 | neuropsychiatric
01:56:17.620 | disorders
01:56:18.120 | are associated
01:56:19.240 | with that
01:56:20.780 | process
01:56:21.640 | the increased
01:56:22.680 | levels
01:56:23.380 | of reactive
01:56:24.520 | oxygen species
01:56:25.820 | often referred to
01:56:27.160 | as oxidative
01:56:28.040 | stress
01:56:28.620 | so we got
01:56:29.980 | decades of
01:56:30.660 | evidence
01:56:31.060 | strongly
01:56:31.980 | supporting that
01:56:33.080 | can methylene
01:56:35.660 | blue play a
01:56:36.400 | role in that
01:56:37.000 | absolutely
01:56:37.620 | because methylene
01:56:38.320 | blue can come
01:56:39.060 | in and take
01:56:39.960 | some of
01:56:40.560 | these
01:56:41.020 | wayward
01:56:42.440 | electrons
01:56:44.340 | prevent them
01:56:46.660 | from creating
01:56:47.680 | reactive oxygen
01:56:48.720 | species
01:56:49.300 | which might
01:56:51.480 | calm things
01:56:53.020 | one of the
01:56:54.760 | challenges
01:56:55.360 | with methylene
01:56:57.340 | as we discussed
01:56:58.600 | before you can
01:56:59.580 | have too little
01:57:00.220 | and too much
01:57:01.000 | same with methylene
01:57:02.740 | you can have too
01:57:04.060 | little and too
01:57:04.820 | you don't
01:57:05.980 | want to
01:57:06.500 | accept too
01:57:07.760 | many electrons
01:57:08.640 | these electrons
01:57:09.600 | need to be
01:57:10.340 | flowing
01:57:10.880 | to the places
01:57:12.000 | they should be
01:57:12.660 | flowing
01:57:13.020 | as opposed to
01:57:15.220 | oxidative stress
01:57:16.720 | the polar
01:57:17.440 | opposite of that
01:57:18.400 | is called
01:57:18.780 | reductive stress
01:57:20.520 | and that
01:57:22.240 | too has been
01:57:23.060 | found in
01:57:23.940 | people with
01:57:24.440 | schizophrenia
01:57:24.900 | and bipolar
01:57:25.820 | disorder
01:57:26.360 | and some
01:57:26.780 | other disorders
01:57:27.540 | so it's
01:57:28.640 | really about
01:57:29.620 | dysregulated
01:57:30.920 | kind of
01:57:32.320 | balance
01:57:33.220 | between oxidative
01:57:34.460 | and reductive
01:57:35.120 | stress
01:57:35.680 | and methylene
01:57:37.320 | if you
01:57:38.780 | take it
01:57:39.460 | in overdose
01:57:40.000 | could become
01:57:41.460 | a reductive
01:57:42.300 | stressor
01:57:43.140 | so you don't
01:57:44.860 | want too
01:57:47.200 | so we
01:57:49.480 | do have
01:57:50.180 | pilot
01:57:51.000 | trials
01:57:51.460 | again
01:57:51.760 | small
01:57:54.320 | super
01:57:54.780 | well done
01:57:55.460 | pilot
01:57:56.140 | trials
01:57:57.280 | wide range
01:57:58.440 | neuropsychiatric
01:58:00.120 | disorders
01:58:00.880 | depression
01:58:02.340 | bipolar
01:58:03.020 | disorders
01:58:03.640 | schizophrenia
01:58:04.240 | Alzheimer's
01:58:05.640 | disease
01:58:06.060 | others
01:58:09.040 | of them
01:58:09.740 | suggesting
01:58:10.880 | a benefit
01:58:12.340 | do you know
01:58:13.560 | what the
01:58:14.140 | range
01:58:16.380 | I don't
01:58:17.280 | off the top
01:58:17.620 | of my head
01:58:18.480 | because methylene
01:58:19.660 | blue as I
01:58:20.140 | understand
01:58:20.480 | has some
01:58:21.680 | activity
01:58:22.780 | can adjust
01:58:23.920 | some of
01:58:24.240 | the enzymes
01:58:24.700 | that in
01:58:25.320 | turn adjust
01:58:25.960 | levels of
01:58:26.700 | serotonin
01:58:27.500 | which is why
01:58:29.800 | I haven't
01:58:30.500 | taken it
01:58:31.340 | I've just
01:58:31.780 | been cautious
01:58:32.360 | about
01:58:32.740 | I don't really
01:58:33.980 | want to boost
01:58:34.440 | my serotonin
01:58:35.180 | there's this
01:58:35.540 | recent study
01:58:36.160 | out of a lab
01:58:36.740 | at Stanford
01:58:37.120 | showing that
01:58:37.620 | the rewarding
01:58:38.720 | properties
01:58:39.220 | of various
01:58:40.360 | things as we
01:58:41.000 | know increase
01:58:41.600 | dopamine
01:58:42.140 | in anticipation
01:58:42.960 | of a reward
01:58:43.900 | but also
01:58:45.580 | important it
01:58:46.480 | seems
01:58:46.800 | these are
01:58:47.160 | mouse studies
01:58:47.720 | but serotonin
01:58:49.600 | drops as
01:58:50.800 | dopamine goes
01:58:51.540 | up and
01:58:52.540 | that drop
01:58:53.280 | in serotonin
01:58:54.120 | is at
01:58:55.600 | least as
01:58:56.220 | important as
01:58:56.740 | the increase
01:58:57.240 | in dopamine
01:58:57.720 | for the
01:58:58.100 | reinforcing
01:58:58.600 | properties of
01:58:59.600 | certain
01:59:00.460 | behaviors and
01:59:01.320 | substances
01:59:01.880 | and I'm
01:59:04.300 | very reluctant
01:59:04.860 | to tamper
01:59:06.040 | with anything
01:59:06.680 | that would
01:59:07.120 | raise serotonin
01:59:08.500 | because in
01:59:08.920 | these studies
01:59:09.700 | or these
01:59:11.000 | experiments
01:59:11.440 | or in
01:59:12.700 | these
01:59:12.860 | experiments
01:59:13.420 | I should
01:59:14.060 | increasing
01:59:16.260 | serotonin
01:59:17.220 | offset some
01:59:19.600 | of the
01:59:19.800 | rewarding
01:59:20.220 | aspects
01:59:21.200 | otherwise
01:59:22.880 | rewarding
01:59:23.520 | things
01:59:24.320 | so I want
01:59:25.360 | things that
01:59:25.720 | are rewarding
01:59:26.180 | to feel
01:59:26.520 | rewarding
01:59:26.980 | and so
01:59:27.780 | this difference
01:59:28.600 | between dopamine
01:59:29.300 | and serotonin
01:59:30.020 | seems pretty
01:59:30.580 | vital
01:59:30.960 | I mean
01:59:31.560 | that's not
01:59:31.900 | to say
01:59:32.520 | terrified
01:59:33.260 | of anything
01:59:33.980 | that increases
01:59:34.600 | serotonin
01:59:35.300 | but to do
01:59:36.460 | it pharmacologically
01:59:37.280 | just seems
01:59:37.860 | a little
01:59:38.480 | sketchy
01:59:39.340 | given I don't
01:59:39.840 | have a
01:59:40.160 | clinical need
01:59:40.720 | that I'm
01:59:41.040 | at least
01:59:41.340 | not that I'm
01:59:41.700 | aware of
01:59:42.080 | well and that's
01:59:43.000 | actually one
01:59:43.400 | of the warnings
01:59:44.100 | with methylene
01:59:46.040 | blue is that
01:59:47.080 | if taken in
01:59:48.300 | to have a
01:59:48.980 | dose you can
01:59:49.600 | actually get
01:59:50.020 | serotonin
01:59:50.500 | syndrome
01:59:50.940 | could you
01:59:51.480 | explain what
01:59:51.900 | serotonin
01:59:52.380 | syndrome is
01:59:53.020 | so serotonin
01:59:53.900 | syndrome is
01:59:54.460 | just like
01:59:55.580 | really excessive
01:59:57.260 | deluge of
01:59:58.920 | serotonin in
01:59:59.860 | the system
02:00:00.560 | more often
02:00:02.520 | than not
02:00:03.020 | it's completely
02:00:03.860 | unrecognized
02:00:05.020 | really
02:00:06.360 | it gets
02:00:07.820 | mistaken
02:00:09.040 | psychiatric
02:00:09.820 | symptoms
02:00:10.780 | so people
02:00:12.960 | can have
02:00:14.920 | anxiety
02:00:15.580 | they can
02:00:16.060 | have panic
02:00:16.840 | in extreme
02:00:18.060 | cases you
02:00:18.800 | can get
02:00:19.200 | nausea
02:00:19.960 | you can
02:00:20.280 | get fevers
02:00:20.960 | you can
02:00:21.900 | I mean
02:00:23.180 | in extreme
02:00:23.900 | cases it
02:00:24.300 | can be
02:00:24.540 | fatal
02:00:24.880 | so it's
02:00:26.440 | a serious
02:00:27.060 | thing
02:00:27.560 | but more
02:00:28.300 | often than
02:00:28.800 | not it
02:00:29.160 | gets dismissed
02:00:29.940 | because serotonin
02:00:30.980 | syndrome is
02:00:31.540 | most commonly
02:00:32.540 | experienced by
02:00:33.540 | people taking
02:00:34.500 | SSRIs
02:00:35.660 | and by
02:00:37.800 | definition
02:00:38.340 | they are
02:00:38.860 | psychiatric
02:00:39.300 | patients
02:00:39.960 | where they
02:00:40.300 | have a
02:00:40.580 | mental health
02:00:40.980 | condition
02:00:41.440 | and so
02:00:42.800 | when they
02:00:43.060 | come in
02:00:43.500 | and say
02:00:43.960 | I'm feeling
02:00:44.540 | nauseous
02:00:45.160 | I feel
02:00:45.620 | anxious
02:00:46.040 | I feel
02:00:46.600 | jittery
02:00:47.060 | I feel
02:00:47.480 | I don't
02:00:47.980 | feel right
02:00:48.600 | they get
02:00:50.720 | written off
02:00:51.440 | more often
02:00:52.120 | than not
02:00:52.700 | or given
02:00:53.060 | more medication
02:00:53.860 | yeah let's
02:00:54.500 | increase your
02:00:55.600 | increase your
02:00:57.140 | or whatever
02:00:57.820 | so it's
02:00:58.940 | actually really
02:00:59.780 | tragic
02:01:00.940 | I mean one
02:01:01.600 | woman actually
02:01:02.240 | reached out
02:01:02.840 | to me
02:01:03.680 | after learning
02:01:06.020 | about my
02:01:06.860 | reading my
02:01:08.660 | she talked
02:01:09.660 | to her
02:01:09.920 | psychiatrist
02:01:10.340 | tapered off
02:01:11.120 | all her
02:01:11.940 | and it
02:01:12.280 | became clear
02:01:13.060 | that she
02:01:13.400 | probably had
02:01:14.140 | serotonin
02:01:14.800 | syndrome
02:01:15.260 | for a
02:01:16.320 | to both
02:01:17.440 | and her
02:01:17.820 | psychiatrist
02:01:18.340 | so the
02:01:18.980 | meds were
02:01:19.420 | causing the
02:01:19.900 | problem
02:01:20.240 | and the
02:01:20.840 | meds were
02:01:21.300 | causing the
02:01:21.800 | problem
02:01:22.180 | and nobody
02:01:23.520 | really recognized
02:01:25.140 | again so
02:01:27.880 | so anyway
02:01:29.320 | methylene
02:01:30.080 | blue can
02:01:30.840 | cause serotonin
02:01:31.600 | syndrome
02:01:31.920 | so I think
02:01:33.500 | if people
02:01:33.860 | are gonna
02:01:34.160 | if people
02:01:35.300 | want to
02:01:35.560 | consider
02:01:36.020 | using it
02:01:36.760 | I would
02:01:37.240 | number one
02:01:38.280 | make sure
02:01:38.680 | you get
02:01:39.120 | a very
02:01:39.720 | reputable
02:01:40.240 | source of
02:01:41.140 | make sure
02:01:41.940 | you're
02:01:42.180 | consuming it
02:01:42.880 | in a way
02:01:43.340 | that makes
02:01:44.260 | sense
02:01:44.860 | I mean
02:01:45.160 | it can
02:01:45.420 | stain your
02:01:45.980 | teeth
02:01:46.740 | and all
02:01:47.080 | sorts of
02:01:47.580 | stuff
02:01:48.140 | make sure
02:01:48.980 | urine
02:01:49.820 | tongue
02:01:51.000 | people
02:01:53.560 | IV infusions
02:01:54.400 | of methylene
02:01:55.480 | so yeah
02:01:57.100 | I've seen
02:01:58.480 | people
02:01:58.900 | kind of
02:02:00.300 | hooked up
02:02:00.840 | to IVs
02:02:01.600 | with a
02:02:02.100 | bag of
02:02:03.100 | methylene
02:02:03.920 | do they
02:02:04.380 | turn blue
02:02:05.840 | I hope
02:02:07.800 | smurf
02:02:08.280 | but it
02:02:10.800 | a medically
02:02:11.840 | approved
02:02:12.760 | treatment
02:02:13.720 | and I
02:02:15.460 | think it
02:02:15.900 | can be
02:02:17.760 | again
02:02:19.940 | patent
02:02:20.320 | nobody's
02:02:21.240 | going to
02:02:21.480 | stand to
02:02:21.880 | make any
02:02:22.500 | money off
02:02:23.100 | of doing
02:02:23.600 | large
02:02:25.160 | designed
02:02:25.900 | trials
02:02:26.660 | of methylene
02:02:28.080 | but I'm
02:02:31.240 | really
02:02:31.440 | interested
02:02:31.880 | in it
02:02:34.200 | has these
02:02:35.680 | properties
02:02:36.120 | in addition
02:02:37.400 | to just
02:02:38.300 | being this
02:02:39.000 | electron
02:02:39.540 | acceptor
02:02:40.080 | and donor
02:02:40.580 | there's
02:02:42.360 | evidence
02:02:42.700 | that it
02:02:43.400 | improve
02:02:44.560 | mitochondrial
02:02:46.140 | biogenesis
02:02:47.060 | that it
02:02:48.140 | anti-inflammatory
02:02:49.440 | effects
02:02:50.220 | and that it
02:02:51.080 | can do
02:02:51.320 | other things
02:02:52.020 | that may
02:02:52.820 | be beneficial
02:02:53.520 | interesting
02:02:54.600 | very interesting
02:02:56.220 | in fact
02:02:56.780 | before moving
02:02:58.520 | on to some
02:02:59.140 | more clinical
02:02:59.680 | questions
02:03:00.820 | we've been
02:03:01.180 | going deep
02:03:01.580 | into the
02:03:01.880 | science
02:03:02.220 | and some
02:03:02.640 | public
02:03:02.940 | health
02:03:03.300 | thoughts
02:03:05.040 | and reflections
02:03:05.920 | and ideas
02:03:07.400 | there's a
02:03:09.880 | supplement
02:03:10.180 | called
02:03:10.480 | urolithin
02:03:11.460 | that people
02:03:12.340 | seem really
02:03:12.880 | excited about
02:03:13.600 | for improving
02:03:14.780 | mitochondrial
02:03:15.420 | function
02:03:15.880 | I'm not
02:03:17.540 | super familiar
02:03:18.160 | with the
02:03:18.600 | literature
02:03:20.660 | coenzyme
02:03:21.860 | urolithin
02:03:23.260 | we're
02:03:23.920 | starting to
02:03:24.200 | hear more
02:03:24.520 | about these
02:03:25.080 | sorts of
02:03:26.040 | things
02:03:26.220 | sold over
02:03:26.880 | counter
02:03:27.200 | do you
02:03:27.680 | have any
02:03:27.920 | thoughts
02:03:28.240 | on those
02:03:29.140 | there's a
02:03:29.960 | company
02:03:30.280 | timeline
02:03:31.440 | puts out
02:03:32.760 | product
02:03:34.180 | to their
02:03:35.760 | credit
02:03:36.320 | they have
02:03:37.320 | actually
02:03:38.400 | pretty
02:03:40.720 | designed
02:03:41.280 | robust
02:03:41.960 | randomized
02:03:42.600 | controlled
02:03:43.160 | trials
02:03:44.340 | urolithin
02:03:45.180 | they've
02:03:46.280 | primarily
02:03:46.700 | focused
02:03:48.120 | muscle
02:03:48.940 | health
02:03:49.880 | aging
02:03:50.380 | and so
02:03:51.900 | actually
02:03:52.900 | reasonably
02:03:54.700 | published
02:03:55.640 | reasonably
02:03:56.980 | journals
02:03:57.660 | documenting
02:04:00.300 | urolithin
02:04:01.240 | when given
02:04:02.100 | to elderly
02:04:02.620 | people
02:04:03.200 | people
02:04:03.700 | you know
02:04:04.300 | people
02:04:07.120 | that it
02:04:09.820 | improve
02:04:10.700 | muscle
02:04:12.600 | performance
02:04:13.280 | within
02:04:15.040 | I think
02:04:15.880 | eight
02:04:16.100 | weeks
02:04:21.560 | overarching
02:04:23.540 | metabolic
02:04:24.760 | benefits
02:04:27.120 | you know
02:04:27.880 | in terms
02:04:28.400 | biomarkers
02:04:31.160 | associated
02:04:32.520 | slowing
02:04:34.580 | of the
02:04:35.040 | aging
02:04:35.380 | process
02:04:39.440 | urolithin
02:04:40.280 | think
02:04:41.120 | definitely
02:04:42.720 | supplement
02:04:43.100 | among
02:04:43.740 | all of
02:04:44.760 | supplements
02:04:45.700 | should
02:04:46.220 | considered
02:04:47.160 | people
02:04:47.760 | looking
02:04:48.760 | something
02:04:50.960 | going
02:04:51.180 | repeat
02:04:51.480 | myself
02:04:52.100 | before
02:04:53.500 | urolithin
02:04:55.180 | chief
02:04:55.640 | scientific
02:04:56.200 | officer
02:04:56.540 | of the
02:04:56.800 | company
02:04:57.200 | when I
02:04:58.140 | talking
02:04:58.400 | with him
02:04:58.720 | about
02:05:02.480 | exercise
02:05:04.860 | of course
02:05:05.580 | harder
02:05:06.560 | to sell
02:05:07.020 | people
02:05:07.700 | to do
02:05:08.340 | the diet
02:05:09.100 | and exercise
02:05:09.640 | and everything
02:05:10.480 | but then
02:05:11.620 | could
02:05:12.980 | advantage
02:05:13.460 | and I
02:05:15.100 | don't
02:05:16.080 | at all
02:05:16.560 | think
02:05:18.020 | people
02:05:18.460 | advantage
02:05:21.080 | again
02:05:22.280 | the way
02:05:22.600 | that I
02:05:22.940 | think
02:05:23.260 | about
02:05:24.800 | exercise
02:05:25.340 | going
02:05:25.740 | everybody
02:05:26.120 | because
02:05:26.480 | won't
02:05:26.940 | everybody
02:05:28.160 | people
02:05:28.720 | really
02:05:31.840 | think
02:05:32.260 | about
02:05:33.260 | their
02:05:33.500 | mitochondria
02:05:34.500 | their
02:05:34.900 | metabolic
02:05:35.700 | processes
02:05:37.040 | really
02:05:37.640 | disrupted
02:05:40.220 | severely
02:05:41.300 | dysregulated
02:05:45.940 | quote
02:05:46.160 | unquote
02:05:46.420 | healthy
02:05:47.680 | exercise
02:05:48.640 | sleep
02:05:49.460 | relationships
02:05:51.780 | phenomenal
02:05:52.320 | prevention
02:05:52.940 | strategy
02:05:56.340 | people
02:05:57.400 | phenomenal
02:05:57.840 | treatment
02:05:58.700 | strategy
02:05:59.940 | think
02:06:00.640 | average
02:06:01.740 | applies
02:06:02.480 | people
02:06:03.500 | moderate
02:06:03.960 | mental
02:06:04.860 | health
02:06:05.440 | metabolic
02:06:05.820 | health
02:06:06.200 | conditions
02:06:10.840 | people get
02:06:12.020 | severe
02:06:12.460 | category
02:06:13.540 | severe
02:06:14.600 | heart
02:06:14.920 | failure
02:06:15.400 | severe
02:06:16.280 | you know
02:06:18.040 | mental health
02:06:18.600 | condition
02:06:19.200 | schizophrenia
02:06:19.680 | bipolar
02:06:20.140 | disorder
02:06:20.600 | crippling
02:06:21.060 | depression
02:06:23.800 | sense
02:06:24.400 | is just
02:06:25.300 | clean
02:06:26.740 | sleep
02:06:27.560 | exercise
02:06:29.160 | going
02:06:29.700 | sufficient
02:06:32.360 | start
02:06:32.580 | thinking
02:06:32.940 | about
02:06:35.240 | supplement
02:06:36.440 | methylene
02:06:38.080 | infusion
02:06:39.860 | neurostimulation
02:06:40.980 | which
02:06:41.660 | can stimulate
02:06:42.920 | mitochondria
02:06:43.700 | and stimulate
02:06:44.520 | neuroplasticity
02:06:45.660 | things like
02:06:46.300 | transcranial
02:06:46.920 | magnetic
02:06:47.360 | stimulation
02:06:48.460 | which is
02:06:49.220 | non-invasively
02:06:50.040 | right
02:06:50.360 | it is
02:06:50.840 | non-invasive
02:06:51.480 | and so
02:06:52.060 | can we
02:06:52.720 | those
02:06:53.260 | types
02:06:53.720 | strategies
02:06:56.440 | improve
02:06:57.340 | someone's
02:06:58.720 | mental
02:06:59.760 | health
02:07:00.700 | we've
02:07:01.740 | plenty
02:07:02.300 | evidence
02:07:03.300 | you know
02:07:04.660 | especially
02:07:08.520 | helpful
02:07:09.420 | people
02:07:10.800 | again
02:07:11.120 | is not
02:07:11.620 | panacea
02:07:12.140 | none of
02:07:12.620 | these
02:07:12.760 | things
02:07:13.000 | are a
02:07:13.300 | panacea
02:07:14.640 | although
02:07:15.640 | none of
02:07:16.240 | these
02:07:16.380 | things
02:07:16.780 | panacea
02:07:19.220 | you're
02:07:19.400 | you know
02:07:19.800 | people
02:07:20.120 | one of
02:07:20.840 | the biggest
02:07:21.140 | criticisms
02:07:21.660 | I get
02:07:24.080 | Palmer
02:07:24.360 | you have
02:07:24.940 | given me
02:07:25.320 | the recipe
02:07:25.800 | to cure
02:07:26.800 | crippling
02:07:28.700 | disorder
02:07:29.240 | and it's
02:07:33.180 | trying
02:07:33.700 | to teach
02:07:35.160 | strategies
02:07:35.740 | and the
02:07:36.540 | science
02:07:37.100 | so that
02:07:37.720 | you can
02:07:38.360 | together
02:07:38.880 | your own
02:07:39.540 | treatment
02:07:42.300 | to sell
02:07:43.480 | thing
02:07:44.840 | panacea
02:07:45.440 | to cure
02:07:46.200 | mental
02:07:46.480 | illness
02:07:47.800 | ketogenic
02:07:48.620 | can be
02:07:49.620 | life-changing
02:07:50.620 | life-saving
02:07:51.560 | it can be
02:07:52.420 | nothing short
02:07:53.840 | of miraculous
02:07:54.760 | for some
02:07:55.380 | people
02:07:55.780 | but it
02:07:56.900 | is not
02:07:57.320 | panacea
02:07:59.460 | people do
02:07:59.960 | ketogenic
02:08:00.360 | diets
02:08:00.780 | and not
02:08:02.620 | cured
02:08:04.060 | remission
02:08:04.800 | and so
02:08:06.220 | always
02:08:06.780 | looking
02:08:12.080 | model
02:08:14.300 | further
02:08:14.940 | enhance
02:08:15.740 | mitochondrial
02:08:18.380 | function
02:08:19.000 | metabolic
02:08:19.720 | health
02:08:22.320 | reason
02:08:22.660 | I think
02:08:23.280 | the reason
02:08:23.880 | getting
02:08:24.100 | traction
02:08:24.760 | is because
02:08:26.040 | when you
02:08:26.340 | come back
02:08:27.040 | to it
02:08:27.420 | we just
02:08:28.840 | keep coming
02:08:29.300 | back to
02:08:29.820 | these
02:08:30.060 | pillars
02:08:30.780 | of common
02:08:31.580 | sense
02:08:32.120 | for the
02:08:33.680 | most part
02:08:34.080 | like diet
02:08:35.000 | might
02:08:35.340 | actually
02:08:36.760 | difference
02:08:37.120 | to your
02:08:37.460 | brain
02:08:37.680 | health
02:08:38.000 | I don't
02:08:38.300 | think
02:08:38.760 | Americans
02:08:39.160 | I think
02:08:40.000 | species
02:08:40.520 | needs
02:08:42.540 | against
02:08:43.140 | guard
02:08:43.440 | rails
02:08:44.940 | cliff
02:08:46.360 | times
02:08:47.840 | sadly
02:08:48.820 | a good
02:08:49.700 | number
02:08:50.020 | people
02:08:50.180 | go over
02:08:51.880 | their
02:08:52.060 | demise
02:08:52.540 | before
02:08:52.920 | we go
02:08:53.320 | wait a
02:08:54.200 | second
02:08:54.420 | we need
02:08:56.460 | to think
02:08:56.660 | about how
02:08:56.980 | fast we're
02:08:57.380 | taking
02:08:57.560 | these
02:08:57.780 | turns
02:08:58.120 | we need
02:08:59.200 | to pull
02:08:59.820 | I mean
02:09:00.020 | there's
02:09:00.220 | something
02:09:00.460 | weird
02:09:00.720 | about
02:09:01.100 | species
02:09:02.080 | develop
02:09:02.340 | technology
02:09:07.160 | destructive
02:09:07.540 | aspects
02:09:08.140 | those
02:09:08.300 | technologies
02:09:08.740 | then pull
02:09:09.500 | and a lot
02:09:09.820 | of our
02:09:10.100 | it's like
02:09:10.860 | two steps
02:09:11.240 | forward
02:09:11.480 | one step
02:09:12.340 | evolution
02:09:12.820 | it seems
02:09:13.960 | inherent
02:09:14.800 | homo sapiens
02:09:15.600 | forgive me
02:09:16.400 | for getting
02:09:16.740 | so macroscopic
02:09:17.820 | here but
02:09:18.260 | when you look
02:09:18.960 | through
02:09:19.200 | there's a
02:09:20.340 | wonderful book
02:09:20.780 | the prince
02:09:21.140 | of medicine
02:09:21.700 | history of
02:09:22.660 | medicine
02:09:23.020 | Galen
02:09:23.520 | and like
02:09:23.940 | it starts
02:09:24.340 | there
02:09:24.640 | and all
02:09:25.380 | the way
02:09:25.660 | forward
02:09:25.980 | and you
02:09:26.840 | read like
02:09:27.480 | what is it
02:09:28.120 | the emperor
02:09:28.460 | of all maladies
02:09:29.240 | about cancer
02:09:29.840 | and you
02:09:30.220 | realize
02:09:30.560 | we're
02:09:31.660 | stumbling
02:09:32.100 | forward
02:09:32.540 | and making
02:09:32.980 | miraculous
02:09:33.660 | progress
02:09:34.920 | and at
02:09:36.220 | the same
02:09:36.740 | we are
02:09:37.360 | seemingly
02:09:39.300 | deliberately
02:09:41.120 | overlooking
02:09:41.780 | a lot of
02:09:42.180 | the stuff
02:09:42.520 | that's just
02:09:42.880 | obvious
02:09:43.400 | it's like
02:09:44.020 | the old
02:09:45.100 | advice
02:09:45.560 | as we exit
02:09:46.880 | this conversation
02:09:47.460 | about supplements
02:09:48.120 | the old
02:09:49.340 | advice
02:09:49.840 | that if you
02:09:50.880 | just eat a
02:09:51.380 | balanced diet
02:09:52.080 | you're good
02:09:52.620 | doesn't work
02:09:53.560 | anymore
02:09:53.960 | I noticed
02:09:54.900 | that because
02:09:55.500 | quote unquote
02:09:55.980 | balanced diet
02:09:56.840 | first of all
02:09:57.240 | no one can
02:09:57.600 | agree on
02:10:00.200 | people get
02:10:00.980 | caught up
02:10:01.400 | in the
02:10:01.740 | vegetarian
02:10:02.380 | versus
02:10:02.780 | carnivore
02:10:03.380 | debates
02:10:03.720 | which are
02:10:04.020 | really
02:10:04.660 | vegan
02:10:04.940 | versus
02:10:05.220 | carnivore
02:10:05.400 | which are
02:10:05.680 | really
02:10:05.840 | at the
02:10:06.120 | extremes
02:10:06.720 | so we've
02:10:07.740 | lost our
02:10:08.440 | our bearings
02:10:09.320 | we're kind
02:10:09.920 | of like
02:10:10.220 | like true
02:10:10.660 | north
02:10:11.060 | is so
02:10:11.820 | clear
02:10:12.240 | what true
02:10:12.760 | north
02:10:14.100 | mostly
02:10:16.380 | non-processed
02:10:17.160 | minimally
02:10:17.480 | processed
02:10:17.860 | foods
02:10:18.280 | getting
02:10:18.560 | adequate
02:10:18.900 | quality
02:10:19.380 | protein
02:10:19.920 | you could
02:10:20.520 | vegetarian
02:10:21.000 | you could
02:10:21.900 | animal
02:10:22.140 | based
02:10:22.360 | products
02:10:22.720 | if you
02:10:23.040 | if you
02:10:23.340 | choose
02:10:24.140 | doing
02:10:24.780 | for 90%
02:10:25.540 | or 80%
02:10:26.240 | one's
02:10:26.540 | nutrition
02:10:27.260 | exercise
02:10:27.640 | we know
02:10:28.060 | what forms
02:10:28.500 | like all
02:10:29.480 | the information
02:10:30.180 | is there
02:10:30.600 | as you're
02:10:30.900 | pointing out
02:10:31.460 | but somehow
02:10:32.600 | we're just
02:10:33.020 | going to have
02:10:33.480 | to keep
02:10:33.820 | putting it
02:10:34.620 | back in our
02:10:35.120 | faces
02:10:35.480 | or see
02:10:37.880 | enough
02:10:38.260 | unfortunate
02:10:39.120 | stuff
02:10:39.560 | that we
02:10:39.980 | go away
02:10:40.600 | a second
02:10:40.900 | like this
02:10:41.680 | is time
02:10:42.260 | for a course
02:10:42.700 | correction
02:10:43.100 | but hey
02:10:43.760 | that's what
02:10:44.040 | we're trying
02:10:44.320 | to do
02:10:44.740 | right
02:10:45.540 | and we
02:10:46.540 | we have
02:10:48.380 | colleagues
02:10:49.020 | to do
02:10:50.000 | it as
02:10:50.980 | I'll just
02:10:51.460 | throw in
02:10:51.860 | as long
02:10:52.080 | as we're
02:10:52.280 | editorializing
02:10:52.980 | a lot
02:10:53.200 | today
02:10:53.460 | I think
02:10:54.540 | in the
02:10:54.720 | last five
02:10:55.140 | years
02:10:55.400 | the discourse
02:10:56.440 | around public
02:10:57.180 | health
02:10:57.540 | from the
02:10:58.360 | mental health
02:10:59.260 | from the
02:10:59.720 | cardiology
02:11:00.760 | from the
02:11:01.280 | cancer
02:11:02.000 | from the
02:11:02.260 | launch
02:11:02.680 | really
02:11:03.600 | transformed
02:11:04.220 | in no
02:11:04.600 | small
02:11:04.980 | thanks to
02:11:05.480 | social media
02:11:06.360 | and podcasts
02:11:07.480 | things are
02:11:08.860 | evolving
02:11:09.280 | thank you
02:11:10.300 | Huber
02:11:10.580 | oh well
02:11:11.240 | and thank
02:11:12.180 | and thank
02:11:13.160 | vitamin
02:11:14.280 | deficiencies
02:11:16.000 | mental
02:11:16.900 | health
02:11:17.280 | it almost
02:11:18.280 | sounds like
02:11:18.800 | we're headed
02:11:19.220 | deeper into
02:11:20.320 | supplements
02:11:20.880 | and we
02:11:21.480 | might touch
02:11:21.880 | on that
02:11:22.320 | but a few
02:11:23.160 | years ago
02:11:23.520 | I went to
02:11:23.900 | a McKnight
02:11:24.360 | meeting
02:11:24.940 | and somebody
02:11:26.060 | presented some
02:11:26.900 | proteomics data
02:11:27.960 | where they were
02:11:28.360 | sequencing
02:11:28.800 | spinal fluid
02:11:30.040 | from depressed
02:11:30.960 | patients
02:11:31.460 | and finding
02:11:32.040 | that certain
02:11:33.020 | depressed
02:11:33.400 | patients
02:11:34.040 | had deficiencies
02:11:35.160 | in certain
02:11:35.680 | vitamins
02:11:36.140 | that could
02:11:36.520 | easily be
02:11:37.220 | replaced
02:11:37.600 | through
02:11:37.840 | supplementation
02:11:38.980 | lo and behold
02:11:39.900 | their depressions
02:11:41.220 | in these
02:11:41.760 | particular
02:11:42.100 | patients
02:11:42.460 | were being
02:11:42.760 | cured
02:11:43.140 | literally
02:11:44.020 | reversed
02:11:44.820 | going into
02:11:45.540 | remission
02:11:45.980 | by virtue
02:11:46.880 | of taking
02:11:47.400 | appropriate
02:11:47.900 | vitamins
02:11:49.000 | but the
02:11:49.340 | issue
02:11:50.820 | had to
02:11:51.160 | spinal
02:11:51.840 | so it
02:11:52.240 | was not
02:11:52.780 | in order
02:11:53.320 | to know
02:11:54.040 | these
02:11:54.840 | patients
02:11:55.240 | needed
02:11:55.580 | but it
02:11:55.980 | really
02:11:56.320 | striking
02:11:56.820 | goodness
02:11:58.080 | we're
02:11:58.440 | talking
02:11:58.600 | about
02:11:58.780 | B vitamins
02:11:59.640 | depression
02:12:00.680 | could
02:12:01.640 | tell us
02:12:01.920 | about
02:12:02.760 | and other
02:12:03.080 | B vitamins
02:12:04.360 | methylation
02:12:06.040 | and folate
02:12:06.640 | there's a
02:12:06.940 | little cluster
02:12:07.400 | of topics
02:12:08.360 | that I
02:12:08.580 | think
02:12:08.860 | super
02:12:09.240 | interesting
02:12:09.680 | and that
02:12:09.960 | people
02:12:10.180 | really
02:12:10.520 | should
02:12:10.940 | about
02:12:11.480 | vis-a-vis
02:12:11.920 | depression
02:12:12.360 | and other
02:12:13.540 | challenges
02:12:14.220 | before I
02:12:14.800 | get into
02:12:15.640 | complex
02:12:16.640 | part of
02:12:18.060 | story
02:12:18.520 | let me
02:12:19.120 | start
02:12:19.540 | basics
02:12:20.560 | and this
02:12:21.480 | relates
02:12:22.440 | nutrition
02:12:24.120 | a lot
02:12:25.500 | of these
02:12:25.900 | basic
02:12:27.000 | vitamins
02:12:27.640 | and minerals
02:12:30.660 | vitamin
02:12:31.780 | folate
02:12:32.740 | and iron
02:12:34.280 | I'll just
02:12:35.080 | stop there
02:12:36.300 | folate
02:12:36.680 | and iron
02:12:37.240 | these
02:12:37.880 | are all
02:12:38.240 | essential
02:12:39.320 | mitochondrial
02:12:40.000 | function
02:12:40.460 | they play
02:12:41.500 | a role
02:12:41.820 | in numerous
02:12:42.680 | enzymes
02:12:43.920 | and other
02:12:44.520 | cellular
02:12:45.040 | reactions
02:12:45.620 | outside of
02:12:46.320 | mitochondria
02:12:47.000 | but they
02:12:47.600 | are all
02:12:48.040 | central
02:12:48.800 | mitochondrial
02:12:49.460 | function
02:12:50.320 | and so
02:12:50.780 | if you
02:12:51.160 | are deficient
02:12:52.660 | in these
02:12:53.080 | vitamins
02:12:54.100 | mitochondria
02:12:54.860 | will not
02:12:55.300 | function
02:12:55.660 | properly
02:12:56.120 | so it's
02:12:56.480 | at least
02:12:56.800 | it doesn't
02:12:57.200 | prove
02:12:58.040 | mitochondrial
02:12:58.600 | theory
02:12:59.700 | neuropsychiatric
02:13:00.320 | disorders
02:13:00.760 | but it's
02:13:01.560 | consistent
02:13:02.960 | mitochondrial
02:13:03.540 | theory
02:13:05.900 | the reality
02:13:08.000 | is a lot
02:13:09.160 | Americans
02:13:10.060 | you know
02:13:12.220 | a lot
02:13:13.040 | of different
02:13:13.580 | populations
02:13:14.600 | within
02:13:15.320 | America
02:13:15.780 | and then
02:13:17.060 | certainly
02:13:17.320 | in other
02:13:17.760 | countries
02:13:18.280 | can be
02:13:18.960 | highly
02:13:19.560 | deficient
02:13:20.060 | in some
02:13:20.480 | of these
02:13:24.680 | you know
02:13:26.360 | there's
02:13:26.640 | a study
02:13:27.080 | in JAMA
02:13:27.840 | just last
02:13:31.120 | females
02:13:34.860 | United
02:13:35.120 | States
02:13:35.940 | deficient
02:13:36.500 | it really
02:13:38.040 | depends
02:13:38.440 | on the
02:13:38.740 | definition
02:13:39.620 | deficient
02:13:41.000 | their
02:13:41.800 | overarching
02:13:42.560 | conclusion
02:13:43.520 | based on
02:13:44.840 | what they
02:13:45.820 | thought was
02:13:46.220 | a reasonable
02:13:46.700 | definition
02:13:47.400 | that the
02:13:48.700 | journal
02:13:49.840 | went ahead
02:13:50.260 | and published
02:13:53.700 | young
02:13:55.240 | girls
02:13:56.200 | young
02:13:56.560 | women
02:13:59.320 | menstruation
02:14:00.020 | obviously
02:14:00.900 | menstruation
02:14:01.360 | they are
02:14:02.060 | losing
02:14:02.440 | blood
02:14:02.880 | they are
02:14:03.680 | losing
02:14:04.020 | blood
02:14:04.640 | they are
02:14:05.080 | consuming
02:14:05.560 | enough
02:14:07.100 | there's
02:14:07.880 | something
02:14:08.100 | wrong
02:14:08.380 | with the
02:14:08.720 | they're
02:14:08.880 | processing
02:14:10.780 | let me
02:14:11.380 | stick
02:14:13.740 | neuropsychiatric
02:14:14.520 | disorders
02:14:17.560 | girls
02:14:18.540 | puberty
02:14:20.260 | rates
02:14:21.040 | mental
02:14:21.420 | illness
02:14:23.040 | anything
02:14:23.900 | maybe
02:14:24.300 | little
02:14:24.780 | because
02:14:25.100 | they're
02:14:25.600 | likely
02:14:26.200 | autism
02:14:26.820 | they're
02:14:27.100 | likely
02:14:27.360 | to be
02:14:27.620 | diagnosed
02:14:32.360 | the most
02:14:33.280 | we'll
02:14:33.880 | depression
02:14:34.360 | anxiety
02:14:34.800 | exact
02:14:35.580 | rates
02:14:36.000 | puberty
02:14:38.400 | girls
02:14:40.260 | skyrocket
02:14:41.620 | rates
02:14:42.300 | mental
02:14:42.580 | illness
02:14:43.000 | skyrocket
02:14:44.020 | girls
02:14:45.900 | there
02:14:46.060 | psychological
02:14:46.960 | social
02:14:47.340 | causes
02:14:49.980 | about
02:14:50.300 | you're
02:14:50.680 | becoming
02:14:52.060 | attractive
02:14:52.640 | sexual
02:14:55.540 | maybe
02:14:55.800 | people
02:14:56.480 | you know
02:14:57.460 | being
02:14:58.920 | people
02:15:00.460 | making
02:15:01.900 | uncomfortable
02:15:03.620 | becoming
02:15:04.300 | victim
02:15:05.420 | sexual
02:15:05.900 | trauma
02:15:07.740 | those
02:15:08.040 | things
02:15:08.260 | happen
02:15:08.720 | course
02:15:08.960 | those
02:15:09.180 | things
02:15:09.540 | happening
02:15:09.920 | could
02:15:11.260 | contribute
02:15:12.240 | depression
02:15:12.720 | anxiety
02:15:13.420 | course
02:15:14.380 | could
02:15:14.660 | contribute
02:15:15.300 | depression
02:15:15.800 | anxiety
02:15:16.220 | again
02:15:17.940 | either
02:15:19.600 | let's
02:15:20.760 | psychological
02:15:21.560 | social
02:15:21.960 | causes
02:15:24.340 | let's
02:15:26.440 | biological
02:15:27.020 | causes
02:15:28.380 | these
02:15:28.720 | girls
02:15:29.940 | women
02:15:31.160 | deficient
02:15:32.320 | affects
02:15:32.660 | their
02:15:32.900 | brain
02:15:33.280 | function
02:15:34.020 | affects
02:15:34.320 | their
02:15:34.520 | whole
02:15:35.060 | health
02:15:36.100 | people
02:15:36.340 | don't
02:15:36.560 | think
02:15:37.500 | metabolic
02:15:37.800 | problem
02:15:39.440 | these
02:15:40.980 | girls
02:15:41.660 | women
02:15:45.400 | absolutely
02:15:46.060 | beautiful
02:15:52.240 | means
02:15:52.460 | they've
02:15:52.960 | metabolic
02:15:53.480 | mitochondrial
02:15:54.240 | problem
02:15:55.740 | could
02:15:56.080 | affecting
02:15:56.380 | their
02:15:56.640 | brain
02:15:57.980 | could
02:15:58.300 | playing
02:15:59.360 | their
02:15:59.500 | depression
02:15:59.960 | anxiety
02:16:00.720 | their
02:16:01.720 | eating
02:16:02.660 | disorder
02:16:03.680 | whatever
02:16:04.340 | they've
02:16:05.040 | vitamin
02:16:06.880 | folate
02:16:07.580 | we know
02:16:08.600 | levels
02:16:09.100 | those
02:16:09.400 | vitamins
02:16:11.000 | associated
02:16:12.020 | sorts
02:16:12.400 | neuropsychiatric
02:16:13.000 | disorders
02:16:14.420 | deficiency
02:16:15.200 | example
02:16:17.400 | common
02:16:17.880 | among
02:16:18.460 | vegetarians
02:16:19.440 | vegans
02:16:20.880 | India
02:16:21.600 | example
02:16:22.060 | where
02:16:23.400 | people
02:16:24.160 | vegetarian
02:16:25.360 | vegan
02:16:28.960 | of their
02:16:29.320 | population
02:16:30.780 | deficient
02:16:31.840 | what are
02:16:33.220 | sources
02:16:34.280 | animal
02:16:35.280 | source
02:16:37.140 | animal
02:16:37.620 | source
02:16:37.980 | foods
02:16:38.380 | again
02:16:40.400 | other
02:16:41.100 | types
02:16:41.940 | you need
02:16:43.520 | animal
02:16:43.780 | source
02:16:44.060 | foods
02:16:46.340 | you're
02:16:46.480 | going
02:16:47.140 | vegan
02:16:47.720 | vegetarian
02:16:48.240 | please
02:16:49.900 | appropriate
02:16:50.380 | supplementation
02:16:51.300 | you can
02:16:52.020 | get this
02:16:52.720 | vitamin
02:16:53.420 | please
02:16:54.480 | you're
02:16:54.740 | doing
02:16:55.260 | correctly
02:16:56.200 | maybe
02:16:57.800 | levels
02:16:58.100 | measured
02:16:58.460 | every
02:16:59.660 | least
02:17:00.640 | annual
02:17:00.920 | physical
02:17:03.100 | doctor
02:17:03.360 | knows
02:17:04.240 | vegan
02:17:04.560 | please
02:17:06.660 | assessment
02:17:08.060 | vitamin
02:17:09.180 | nutrient
02:17:09.600 | levels
02:17:10.720 | because
02:17:15.320 | impacted
02:17:16.440 | other
02:17:16.960 | medications
02:17:18.320 | absorption
02:17:20.120 | interestingly
02:17:21.680 | contraceptives
02:17:23.380 | reduce
02:17:23.960 | absorption
02:17:25.500 | impair
02:17:25.900 | absorption
02:17:26.860 | vitamin
02:17:27.720 | interesting
02:17:28.340 | metformin
02:17:30.120 | impair
02:17:30.760 | absorption
02:17:32.300 | vitamin
02:17:34.600 | picture
02:17:36.120 | woman
02:17:36.580 | who's
02:17:37.900 | overweight
02:17:38.420 | who's
02:17:40.680 | following
02:17:42.920 | vegetarian
02:17:43.800 | vegan
02:17:44.620 | who's
02:17:46.120 | metformin
02:17:47.100 | diabetes
02:17:47.640 | who's
02:17:48.800 | birth
02:17:49.000 | control
02:17:49.760 | because
02:17:50.440 | she's
02:17:53.760 | being
02:17:54.540 | deficient
02:17:56.980 | deficiency
02:17:58.860 | terms
02:17:59.320 | neuropsychiatric
02:17:59.960 | disorders
02:18:00.740 | everything
02:18:04.160 | associated
02:18:05.380 | higher
02:18:05.840 | rates
02:18:06.360 | depression
02:18:06.820 | anxiety
02:18:07.640 | psychosis
02:18:08.920 | bipolar
02:18:09.960 | symptoms
02:18:11.580 | people
02:18:12.820 | hallucinating
02:18:15.020 | delusional
02:18:16.640 | deficiency
02:18:19.060 | challenge
02:18:20.040 | deficiency
02:18:20.480 | is that
02:18:21.280 | neurological
02:18:21.720 | damage
02:18:22.440 | become
02:18:22.700 | permanent
02:18:25.040 | recognized
02:18:25.900 | identified
02:18:26.340 | early
02:18:26.820 | enough
02:18:27.240 | people
02:18:28.900 | permanently
02:18:29.380 | injured
02:18:31.160 | that's
02:18:31.700 | simple
02:18:32.020 | story
02:18:32.560 | people
02:18:32.960 | aren't
02:18:33.140 | consuming
02:18:33.540 | enough
02:18:34.100 | they're
02:18:34.260 | taking
02:18:34.680 | metformin
02:18:35.540 | they're
02:18:35.720 | taking
02:18:36.880 | contraceptives
02:18:38.080 | whatever
02:18:38.480 | they're
02:18:39.100 | menstruating
02:18:39.800 | and they
02:18:40.160 | haven't
02:18:40.420 | really
02:18:40.620 | figured out
02:18:41.420 | appropriate
02:18:42.740 | compensate
02:18:44.920 | blood
02:18:47.740 | those
02:18:47.920 | things
02:18:48.800 | interfere
02:18:51.280 | vitamin
02:18:51.760 | absorption
02:18:52.680 | whatever
02:18:54.140 | result
02:18:54.880 | neuropsychiatric
02:18:55.840 | symptoms
02:18:56.520 | unfortunately
02:18:58.600 | story
02:18:59.120 | a lot
02:18:59.720 | complicated
02:19:01.040 | we've
02:19:01.540 | known
02:19:01.880 | there's
02:19:02.220 | autoimmune
02:19:03.720 | vitamin
02:19:04.460 | deficiency
02:19:05.080 | called
02:19:05.580 | pernicious
02:19:06.060 | anemia
02:19:06.580 | in which
02:19:08.040 | antibodies
02:19:09.560 | something
02:19:09.880 | called
02:19:10.140 | intrinsic
02:19:10.620 | factor
02:19:11.280 | prevent
02:19:13.700 | vitamin
02:19:14.560 | from being
02:19:15.080 | absorbed
02:19:15.520 | in the
02:19:15.920 | digestive
02:19:16.340 | tract
02:19:16.700 | so you
02:19:17.320 | could be
02:19:17.620 | eating
02:19:17.860 | all the
02:19:18.420 | in the
02:19:18.620 | world
02:19:18.920 | you can't
02:19:20.660 | absorb it
02:19:21.280 | and you
02:19:21.740 | can become
02:19:22.480 | deficient
02:19:24.240 | autoimmune
02:19:25.120 | disorder
02:19:25.500 | increases
02:19:26.000 | with age
02:19:26.760 | so you
02:19:27.980 | could have
02:19:28.480 | living
02:19:28.720 | a happy
02:19:30.100 | healthy
02:19:30.900 | and then
02:19:31.840 | at age
02:19:32.940 | you develop
02:19:33.980 | pernicious
02:19:35.240 | anemia
02:19:35.740 | you can
02:19:36.700 | no longer
02:19:37.200 | absorb
02:19:38.160 | and this
02:19:39.000 | is actually
02:19:39.480 | one of
02:19:40.540 | treatable
02:19:41.220 | forms of
02:19:41.800 | dementia
02:19:42.200 | that we
02:19:42.560 | know of
02:19:43.060 | the cardinal
02:19:44.220 | symptoms
02:19:44.660 | look like
02:19:45.580 | dementia
02:19:47.860 | the only
02:19:49.100 | way to
02:19:49.960 | these
02:19:50.140 | people
02:19:51.740 | astute
02:19:52.380 | healthcare
02:19:53.300 | clinician
02:19:53.840 | measures
02:19:54.800 | a B12
02:19:55.320 | level
02:19:55.720 | identifies
02:19:57.740 | recognizes
02:19:58.680 | problem
02:20:00.500 | further
02:20:00.860 | testing
02:20:01.800 | pernicious
02:20:02.260 | anemia
02:20:03.160 | autoimmune
02:20:04.580 | deficiency
02:20:06.380 | correct
02:20:07.240 | treatment
02:20:08.120 | vitamin
02:20:09.020 | injections
02:20:09.760 | taking
02:20:10.780 | a pill
02:20:11.220 | won't
02:20:11.740 | because
02:20:12.160 | can't
02:20:12.400 | absorb
02:20:13.640 | inject
02:20:13.960 | people
02:20:15.220 | vitamin
02:20:16.840 | restore
02:20:17.420 | everything
02:20:19.020 | people
02:20:20.800 | supplement
02:20:23.300 | capsule
02:20:25.080 | don't
02:20:26.020 | autoimmune
02:20:27.540 | it'll
02:20:29.660 | again
02:20:30.020 | you're
02:20:30.160 | eating
02:20:32.320 | supplement
02:20:35.680 | there
02:20:39.180 | couple
02:20:39.800 | publications
02:20:43.480 | recognized
02:20:44.640 | brand
02:20:46.420 | autoimmune
02:20:47.900 | deficiency
02:20:50.220 | targets
02:20:50.980 | protein
02:20:51.380 | called
02:20:52.700 | CD320
02:20:53.960 | which
02:20:55.460 | transports
02:20:57.460 | vitamin
02:20:58.820 | across
02:20:59.620 | blood
02:20:59.840 | brain
02:21:00.080 | barrier
02:21:01.520 | researchers
02:21:02.200 | essentially
02:21:03.200 | identified
02:21:07.180 | people
02:21:07.660 | who are
02:21:08.760 | having
02:21:09.300 | pretty
02:21:09.840 | severe
02:21:10.400 | neuropsychiatric
02:21:11.620 | symptoms
02:21:12.460 | symptoms
02:21:13.020 | either
02:21:13.260 | neurological
02:21:13.800 | disorders
02:21:14.620 | other
02:21:14.900 | kinds
02:21:15.460 | disorders
02:21:16.800 | mostly
02:21:17.380 | focusing
02:21:18.220 | neurology
02:21:18.800 | because
02:21:19.520 | neurologists
02:21:20.100 | who have
02:21:20.460 | doing
02:21:22.820 | first
02:21:23.220 | identified
02:21:23.980 | antibody
02:21:26.620 | blood
02:21:27.420 | these
02:21:27.620 | people's
02:21:28.040 | veins
02:21:28.820 | would
02:21:29.420 | going
02:21:30.120 | doctor
02:21:30.700 | blood
02:21:32.720 | levels
02:21:33.260 | normal
02:21:33.720 | everything
02:21:35.540 | normal
02:21:36.860 | periphery
02:21:37.840 | because
02:21:38.260 | person
02:21:38.500 | may be
02:21:38.900 | consuming
02:21:39.380 | enough
02:21:40.700 | getting
02:21:40.960 | absorbed
02:21:43.200 | they're
02:21:43.640 | anemic
02:21:45.180 | signs
02:21:45.820 | deficiency
02:21:48.320 | researchers
02:21:48.740 | tested
02:21:49.420 | their
02:21:49.960 | cerebrospinal
02:21:51.220 | fluid
02:21:54.580 | almost
02:21:56.360 | their
02:21:56.700 | central
02:21:57.620 | nervous
02:21:58.020 | system
02:21:59.060 | requires
02:21:59.620 | spinal
02:22:00.260 | right
02:22:01.040 | order
02:22:02.060 | diagnose
02:22:03.180 | required
02:22:03.820 | spinal
02:22:07.940 | ended
02:22:08.560 | treating
02:22:10.180 | these
02:22:10.380 | people
02:22:12.240 | immunosuppressive
02:22:13.980 | agents
02:22:15.740 | reduce
02:22:16.920 | autoimmune
02:22:17.460 | condition
02:22:19.560 | vitamin
02:22:22.100 | people
02:22:22.580 | reversal
02:22:23.280 | symptoms
02:22:23.940 | meaning
02:22:25.060 | their
02:22:25.340 | neuropsychiatric
02:22:26.300 | symptoms
02:22:28.960 | research
02:22:29.600 | still
02:22:30.080 | preliminary
02:22:30.420 | stages
02:22:31.480 | researchers
02:22:32.160 | looked
02:22:33.340 | common
02:22:34.220 | because
02:22:34.760 | first
02:22:35.000 | glance
02:22:35.560 | sounds
02:22:36.100 | that's
02:22:36.780 | really
02:22:37.600 | condition
02:22:39.100 | can't
02:22:39.520 | relevant
02:22:40.360 | human
02:22:40.640 | health
02:22:41.780 | sampled
02:22:42.520 | just a
02:22:44.280 | general
02:22:44.820 | healthy
02:22:45.360 | control
02:22:47.080 | about
02:22:48.580 | those
02:22:48.800 | people
02:22:49.620 | antibody
02:22:50.780 | that's
02:22:51.540 | really
02:22:52.840 | sampled
02:22:53.520 | people
02:22:55.140 | neuropsychiatric
02:22:56.960 | lupus
02:22:58.840 | these
02:22:59.120 | people
02:22:59.740 | autoimmune
02:23:00.240 | disorder
02:23:00.700 | already
02:23:01.140 | lupus
02:23:02.800 | neuropsychiatric
02:23:03.700 | symptoms
02:23:06.940 | antibody
02:23:09.860 | recently
02:23:13.540 | unpublished
02:23:16.380 | looked
02:23:16.880 | people
02:23:18.200 | demyelinating
02:23:19.000 | condition
02:23:20.020 | unknown
02:23:20.340 | etiology
02:23:22.000 | about
02:23:26.100 | percent
02:23:27.840 | condition
02:23:28.860 | antibody
02:23:30.320 | what's
02:23:30.720 | solution
02:23:32.420 | reason
02:23:34.260 | interest
02:23:35.600 | we're
02:23:35.960 | hoping
02:23:36.840 | research
02:23:37.900 | patients
02:23:38.340 | psychiatric
02:23:38.780 | disorders
02:23:40.560 | because
02:23:40.800 | there
02:23:41.280 | treatment
02:23:41.720 | immune
02:23:42.700 | suppressive
02:23:44.480 | treatments
02:23:45.420 | either
02:23:46.100 | reduce
02:23:47.420 | autoimmune
02:23:48.520 | condition
02:23:51.660 | vitamin
02:23:52.700 | injections
02:23:54.880 | flood
02:23:55.500 | their
02:23:56.680 | system
02:23:57.600 | vitamin
02:24:00.120 | across
02:24:00.720 | blood
02:24:00.900 | brain
02:24:01.120 | barrier
02:24:02.140 | again
02:24:03.180 | won't
02:24:03.740 | in this
02:24:04.320 | right
02:24:09.780 | would
02:24:09.980 | actually
02:24:12.600 | these
02:24:12.900 | situations
02:24:15.180 | these
02:24:15.820 | people's
02:24:16.280 | brains
02:24:17.180 | being
02:24:17.440 | damaged
02:24:18.580 | severe
02:24:19.700 | deficiency
02:24:20.820 | would
02:24:20.940 | probably
02:24:22.120 | definitive
02:24:22.520 | massive
02:24:23.140 | injection
02:24:26.320 | rescue
02:24:26.700 | those
02:24:27.360 | brain
02:24:27.660 | cells
02:24:29.280 | interesting
02:24:29.920 | think
02:24:30.100 | people
02:24:31.220 | should
02:24:31.620 | their
02:24:32.160 | levels
02:24:32.600 | measured
02:24:33.140 | standard
02:24:34.520 | blood
02:24:35.120 | right
02:24:36.500 | unfortunately
02:24:37.740 | autoimmune
02:24:38.580 | central
02:24:39.980 | deficiency
02:24:40.440 | they're
02:24:41.100 | working
02:24:42.060 | commercial
02:24:43.040 | can't
02:24:43.700 | blood
02:24:44.260 | right
02:24:46.460 | perhaps
02:24:48.360 | tuned
02:24:50.320 | guess
02:24:50.700 | point
02:24:54.860 | think
02:24:55.340 | majority
02:24:56.000 | people
02:24:57.680 | percent
02:24:58.180 | people
02:24:59.020 | suffering
02:24:59.640 | neuropsychiatric
02:25:00.380 | disorders
02:25:02.320 | actually
02:25:02.660 | think
02:25:02.920 | using
02:25:03.260 | interventions
02:25:04.340 | easily
02:25:04.820 | available
02:25:05.280 | today
02:25:08.280 | recover
02:25:08.940 | really
02:25:09.340 | believe
02:25:11.120 | stand
02:25:11.800 | nothing
02:25:12.340 | don't
02:25:12.980 | money
02:25:13.980 | lifestyle
02:25:14.520 | interventions
02:25:16.000 | don't
02:25:16.220 | get a
02:25:16.500 | commission
02:25:17.220 | everybody
02:25:18.100 | ketogenic
02:25:19.240 | theory
02:25:19.860 | fewer
02:25:20.140 | patients
02:25:20.820 | treat
02:25:21.540 | theory
02:25:22.240 | money
02:25:25.040 | getting
02:25:25.740 | people
02:25:26.100 | better
02:25:27.880 | don't
02:25:28.440 | anymore
02:25:31.100 | honestly
02:25:31.600 | believe
02:25:33.760 | believe
02:25:34.100 | there
02:25:36.020 | maybe
02:25:39.320 | severe
02:25:39.620 | disorders
02:25:41.020 | those
02:25:41.960 | strategies
02:25:43.060 | won't
02:25:45.180 | really
02:25:45.440 | interested
02:25:47.060 | could
02:25:50.600 | examples
02:25:52.320 | could
02:25:53.280 | could
02:25:55.240 | autoimmune
02:25:57.200 | central
02:25:58.240 | deficiency
02:26:01.200 | matter
02:26:01.540 | because
02:26:06.740 | treat
02:26:07.340 | there's
02:26:08.040 | clear
02:26:08.580 | unequivocal
02:26:09.500 | treatment
02:26:11.720 | you know
02:26:12.820 | at the
02:26:13.200 | of the
02:26:13.560 | I think
02:26:13.940 | one of
02:26:14.680 | biggest
02:26:14.980 | themes
02:26:18.160 | right
02:26:20.160 | mental
02:26:20.320 | health
02:26:20.600 | field
02:26:22.520 | assign
02:26:22.900 | these
02:26:23.180 | diagnostic
02:26:23.860 | labels
02:26:24.700 | people
02:26:27.280 | become
02:26:27.900 | sentences
02:26:30.660 | schizophrenia
02:26:31.160 | that's
02:26:33.240 | lifetime
02:26:33.620 | sentence
02:26:35.200 | probably
02:26:35.440 | never
02:26:35.680 | gonna
02:26:36.020 | better
02:26:37.220 | certainly
02:26:37.520 | always
02:26:38.460 | medicines
02:26:41.440 | bipolar
02:26:41.920 | disorder
02:26:45.280 | you have
02:26:46.560 | chronic
02:26:46.900 | depression
02:26:47.400 | sorry
02:26:48.020 | we just
02:26:48.440 | don't know
02:26:48.720 | how to
02:26:48.880 | treat it
02:26:49.460 | depression
02:26:50.140 | should go
02:26:50.840 | but it's
02:26:51.240 | not going
02:26:51.580 | away for
02:26:52.160 | we don't
02:26:52.500 | know what
02:26:52.760 | to do
02:26:53.120 | sorry
02:26:53.600 | so sorry
02:26:57.000 | on the
02:26:57.860 | surface
02:26:58.160 | it may
02:26:58.680 | sound
02:26:59.320 | those
02:27:00.120 | people
02:27:00.560 | Chris
02:27:01.020 | they're
02:27:02.340 | people
02:27:02.820 | hundreds
02:27:05.180 | millions
02:27:06.000 | people
02:27:06.800 | planet
02:27:08.080 | given
02:27:08.440 | these
02:27:09.040 | sentences
02:27:12.880 | assume
02:27:14.480 | cause
02:27:16.040 | cause
02:27:16.900 | schizophrenia
02:27:17.360 | that's
02:27:18.080 | cause
02:27:21.360 | schizophrenia
02:27:24.640 | label
02:27:25.420 | symptoms
02:27:26.220 | schizophrenia
02:27:27.620 | means
02:27:28.640 | person
02:27:29.500 | chronic
02:27:29.960 | psychotic
02:27:30.500 | symptoms
02:27:31.380 | unknown
02:27:31.900 | etiology
02:27:34.520 | unknown
02:27:35.200 | etiology
02:27:36.080 | because
02:27:37.160 | if we
02:27:37.780 | etiology
02:27:39.120 | don't
02:27:39.880 | schizophrenic
02:27:40.580 | anymore
02:27:41.680 | vitamin
02:27:42.460 | deficiency
02:27:43.900 | psychosis
02:27:46.880 | autoimmune
02:27:47.360 | disorder
02:27:48.060 | lupus
02:27:48.820 | psychosis
02:27:53.260 | important
02:27:53.780 | because
02:27:54.100 | there's
02:27:54.580 | treatment
02:27:55.200 | these
02:27:55.440 | other
02:27:55.680 | things
02:27:56.240 | other
02:27:57.100 | antipsychotic
02:27:57.920 | medicines
02:28:01.020 | really
02:28:02.560 | implore
02:28:03.800 | field
02:28:08.340 | century
02:28:09.140 | begin
02:28:09.740 | recognize
02:28:10.580 | there
02:28:11.180 | cause
02:28:12.920 | schizophrenia
02:28:13.500 | there
02:28:14.540 | cause
02:28:15.300 | bipolar
02:28:15.740 | symptoms
02:28:16.240 | there
02:28:16.880 | cause
02:28:17.940 | chronic
02:28:18.240 | depression
02:28:20.320 | begin
02:28:22.000 | those
02:28:22.280 | causes
02:28:23.840 | begin
02:28:24.860 | treat
02:28:25.200 | those
02:28:25.500 | causes
02:28:26.620 | opposed
02:28:27.560 | putting
02:28:28.280 | people
02:28:29.420 | antipsychotics
02:28:30.760 | antidepressants
02:28:33.200 | telling
02:28:33.900 | we're
02:28:34.260 | really
02:28:34.560 | sorry
02:28:35.040 | we know
02:28:35.880 | these
02:28:36.100 | medicines
02:28:36.460 | don't
02:28:37.200 | illness
02:28:37.640 | we know
02:28:38.640 | these
02:28:39.140 | disease
02:28:39.460 | modifying
02:28:40.000 | treatments
02:28:40.740 | we're
02:28:41.580 | really
02:28:41.840 | sorry
02:28:42.200 | we can't
02:28:42.820 | better
02:28:43.200 | you're
02:28:44.240 | gonna
02:28:45.140 | suffer
02:28:47.180 | better
02:28:48.540 | applaud
02:28:49.000 | efforts
02:28:49.700 | bring
02:28:50.480 | about
02:28:50.980 | change
02:28:51.840 | think
02:28:52.160 | people
02:28:53.120 | realizing
02:28:53.980 | often
02:28:55.180 | always
02:28:55.720 | often
02:28:56.060 | mitochondrial
02:28:56.840 | dysfunction
02:28:57.680 | is at
02:28:58.100 | the heart
02:28:58.620 | these
02:28:59.340 | things
02:29:00.920 | critical
02:29:01.460 | speaking
02:29:03.620 | of which
02:29:05.220 | have to
02:29:05.960 | and feel
02:29:06.700 | free to
02:29:06.980 | pass on
02:29:07.500 | question
02:29:09.940 | become
02:29:10.360 | interested
02:29:11.020 | vaccine
02:29:11.440 | biology
02:29:12.860 | debate
02:29:13.160 | about
02:29:13.820 | vaccines
02:29:14.440 | about
02:29:14.880 | adjuvants
02:29:16.680 | deliver
02:29:17.860 | vaccines
02:29:18.860 | obviously
02:29:19.600 | there's
02:29:20.020 | contentious
02:29:20.480 | topic
02:29:22.300 | without
02:29:22.540 | being
02:29:23.980 | trying
02:29:24.440 | provocative
02:29:26.680 | there
02:29:27.000 | evidence
02:29:27.560 | vaccines
02:29:28.640 | adjuvants
02:29:31.020 | vaccines
02:29:31.600 | or anything
02:29:32.000 | about
02:29:32.380 | vaccines
02:29:32.940 | and their
02:29:33.280 | delivery
02:29:34.440 | disrupt
02:29:34.820 | mitochondrial
02:29:35.460 | function
02:29:35.900 | you know
02:29:36.780 | so often
02:29:37.280 | we think
02:29:39.780 | vaccine
02:29:40.220 | having
02:29:40.820 | specific
02:29:41.160 | effect
02:29:42.060 | vaccine
02:29:42.680 | designed
02:29:43.280 | target
02:29:44.220 | could
02:29:44.760 | potentially
02:29:45.140 | cause
02:29:45.700 | effects
02:29:46.160 | something
02:29:46.700 | that's
02:29:47.520 | theories
02:29:48.880 | given
02:29:51.760 | key role
02:29:52.360 | mitochondria
02:29:52.980 | in all
02:29:54.260 | aspects
02:29:54.740 | brain
02:29:54.940 | functioning
02:29:55.400 | and given
02:29:57.240 | people
02:29:57.780 | convinced
02:30:00.040 | not saying
02:30:00.420 | I believe
02:30:00.920 | but are
02:30:01.220 | convinced
02:30:01.800 | vaccines
02:30:02.240 | are tied
02:30:03.060 | these
02:30:03.480 | mental
02:30:03.760 | health
02:30:04.120 | challenges
02:30:05.400 | autism
02:30:05.800 | let's
02:30:06.180 | direct
02:30:06.460 | about
02:30:06.900 | is there
02:30:07.900 | evidence
02:30:08.480 | vaccines
02:30:10.580 | disrupt
02:30:10.920 | mitochondrial
02:30:11.520 | function
02:30:12.340 | support
02:30:12.880 | mitochondrial
02:30:13.380 | function
02:30:13.720 | for that
02:30:14.020 | matter
02:30:15.620 | contentious
02:30:16.520 | maybe
02:30:18.220 | different
02:30:18.400 | episode
02:30:20.100 | definitely
02:30:20.680 | definitely
02:30:21.160 | going to
02:30:21.380 | answer
02:30:22.000 | going to
02:30:22.600 | winded
02:30:22.880 | answer
02:30:23.360 | that's
02:30:23.840 | because
02:30:25.740 | credible
02:30:26.180 | information
02:30:26.780 | and I
02:30:27.560 | don't
02:30:27.780 | want to
02:30:29.960 | come down
02:30:31.680 | vaccines
02:30:33.440 | there's
02:30:34.040 | question
02:30:34.460 | about
02:30:37.000 | vaccines
02:30:37.380 | cause
02:30:37.680 | autism
02:30:38.280 | that's
02:30:38.620 | we've
02:30:38.940 | skyrocketing
02:30:39.900 | autism
02:30:40.200 | because
02:30:40.500 | don't
02:30:40.620 | think
02:30:40.820 | either
02:30:41.340 | those
02:30:41.520 | extreme
02:30:41.900 | positions
02:30:45.300 | first
02:30:48.040 | slightly
02:30:48.400 | different
02:30:48.760 | question
02:30:49.340 | is there
02:30:50.860 | evidence
02:30:51.820 | levels
02:30:52.360 | inflammation
02:30:53.000 | impair
02:30:53.720 | mitochondrial
02:30:54.440 | function
02:30:56.560 | answer
02:30:57.420 | unequivocally
02:30:59.640 | levels
02:31:00.220 | inflammation
02:31:00.800 | inflammatory
02:31:01.660 | cytokines
02:31:04.300 | alpha
02:31:04.800 | interleukin
02:31:06.580 | others
02:31:07.020 | impair
02:31:07.620 | mitochondrial
02:31:08.340 | function
02:31:08.820 | we know
02:31:09.920 | it is
02:31:10.340 | clear
02:31:11.180 | unequivocal
02:31:13.700 | there
02:31:14.140 | physiological
02:31:14.820 | reasons
02:31:16.780 | organism
02:31:17.980 | adapt
02:31:22.360 | neuropsychiatric
02:31:23.820 | symptoms
02:31:25.500 | you're
02:31:26.260 | going
02:31:26.700 | exhausted
02:31:27.440 | you're
02:31:28.660 | going
02:31:31.440 | taking
02:31:33.500 | going
02:31:34.540 | reproduce
02:31:35.760 | likely
02:31:36.200 | you're
02:31:36.440 | going
02:31:36.640 | completely
02:31:37.840 | libido
02:31:38.400 | completely
02:31:41.540 | interest
02:31:44.480 | going
02:31:45.060 | you're
02:31:45.260 | going
02:31:47.720 | covers
02:31:49.220 | retreat
02:31:50.240 | world
02:31:51.080 | safety
02:31:51.600 | those
02:31:54.720 | effects
02:31:57.060 | motivation
02:31:57.900 | rewarding
02:31:58.960 | behaviors
02:32:00.020 | sorts
02:32:00.480 | things
02:32:01.380 | inflammation
02:32:02.580 | infection
02:32:03.640 | doing
02:32:05.980 | inflammation
02:32:06.380 | because
02:32:06.840 | happens
02:32:07.380 | cancer
02:32:08.100 | happens
02:32:08.680 | treatments
02:32:09.680 | cause
02:32:10.140 | inflammation
02:32:11.900 | treatments
02:32:12.600 | cause
02:32:13.340 | levels
02:32:13.720 | inflammation
02:32:14.180 | people
02:32:15.600 | experience
02:32:16.300 | these
02:32:16.620 | symptoms
02:32:17.020 | acutely
02:32:17.720 | if we
02:32:19.160 | interferon
02:32:20.400 | example
02:32:20.900 | which
02:32:22.040 | treatment
02:32:23.160 | disorders
02:32:23.780 | people
02:32:25.500 | acutely
02:32:26.340 | develop
02:32:27.840 | these
02:32:28.120 | symptoms
02:32:29.420 | interferon
02:32:30.340 | itself
02:32:33.640 | produce
02:32:34.520 | these
02:32:34.720 | neuropsychiatric
02:32:35.600 | symptoms
02:32:39.180 | basic
02:32:40.100 | biology
02:32:40.620 | interferon
02:32:41.560 | interferes
02:32:42.560 | mitochondrial
02:32:43.180 | function
02:32:44.620 | unequivocal
02:32:47.560 | let's
02:32:47.920 | go to
02:32:48.160 | autism
02:32:48.660 | is there
02:32:49.720 | evidence
02:32:50.520 | inflammation
02:32:53.540 | autism
02:32:55.680 | decades
02:32:57.680 | evidence
02:33:03.560 | course
02:33:04.860 | century
02:33:07.420 | there
02:33:10.060 | outbreaks
02:33:11.340 | bacterial
02:33:12.300 | viral
02:33:12.740 | infections
02:33:14.120 | population
02:33:16.320 | higher
02:33:16.880 | rates
02:33:17.560 | neuropsychiatric
02:33:18.760 | neurodevelopmental
02:33:20.080 | disorders
02:33:20.720 | in the
02:33:21.720 | offspring
02:33:24.300 | pregnant
02:33:24.600 | women
02:33:26.820 | we've
02:33:27.740 | known
02:33:28.880 | evidence
02:33:29.820 | pretty
02:33:30.560 | established
02:33:31.500 | instance
02:33:31.900 | forgive me
02:33:32.920 | the one
02:33:33.660 | aware
02:33:36.240 | pregnant
02:33:36.640 | mothers
02:33:38.020 | first
02:33:38.880 | second
02:33:39.240 | trimester
02:33:40.080 | transition
02:33:41.440 | correlated
02:33:42.280 | statistically
02:33:43.640 | higher
02:33:44.260 | incidence
02:33:45.080 | schizophrenia
02:33:46.100 | offspring
02:33:47.060 | right
02:33:47.320 | that's
02:33:47.720 | correct
02:33:49.360 | there
02:33:49.840 | there
02:33:50.840 | rubella
02:33:51.380 | outbreak
02:33:52.700 | resulted
02:33:53.780 | higher
02:33:54.080 | rates
02:33:54.500 | autism
02:33:56.480 | offspring
02:33:58.740 | think
02:33:59.500 | 1960s
02:34:04.080 | really
02:34:05.020 | decades
02:34:05.880 | animal
02:34:06.380 | models
02:34:10.720 | inject
02:34:12.080 | lipopolysaccharide
02:34:14.220 | which
02:34:14.940 | causes
02:34:15.660 | inflammatory
02:34:16.260 | reaction
02:34:19.360 | pregnant
02:34:25.480 | those
02:34:25.920 | women
02:34:26.380 | those
02:34:27.000 | female
02:34:31.020 | higher
02:34:32.780 | showing
02:34:33.840 | signs
02:34:34.580 | symptoms
02:34:35.540 | looks
02:34:36.360 | neurodevelopmental
02:34:37.260 | disorder
02:34:39.380 | different
02:34:40.900 | diagnosing
02:34:41.820 | or whatever
02:34:42.780 | neurodevelopmental
02:34:43.460 | condition
02:34:44.300 | mouse
02:34:44.720 | is it
02:34:49.180 | increase
02:34:52.860 | inject
02:34:54.040 | pregnant
02:34:54.480 | mouse
02:34:55.580 | lipopolysaccharide
02:34:57.300 | can she
02:34:59.120 | can that
02:34:59.800 | mouse still
02:35:00.340 | have a
02:35:00.800 | normal
02:35:01.700 | appearing
02:35:02.180 | mouse
02:35:03.100 | but can't
02:35:04.200 | but the
02:35:04.880 | probability
02:35:05.940 | that the
02:35:07.260 | offspring
02:35:07.780 | will have
02:35:09.860 | neurodevelopmental
02:35:11.100 | symptoms
02:35:12.640 | neurodevelopmental
02:35:13.340 | condition
02:35:13.780 | increase
02:35:14.400 | that is
02:35:15.180 | where
02:35:15.460 | so much
02:35:16.500 | of the
02:35:16.780 | autism
02:35:17.100 | research
02:35:17.540 | has been
02:35:17.880 | focused
02:35:19.560 | trying to
02:35:19.960 | understand
02:35:20.960 | trying to
02:35:21.640 | understand
02:35:22.080 | what is
02:35:23.180 | happening
02:35:23.920 | inflammation
02:35:24.640 | how does
02:35:25.780 | that impact
02:35:26.480 | neurodevelopment
02:35:27.680 | we know
02:35:29.800 | so now
02:35:31.680 | back to
02:35:32.140 | the question
02:35:32.640 | that you
02:35:33.000 | posed
02:35:33.640 | is there
02:35:35.200 | possibility
02:35:36.520 | that vaccines
02:35:37.680 | could contribute
02:35:38.480 | to that
02:35:39.060 | process
02:35:42.260 | vaccines
02:35:42.840 | increase
02:35:43.380 | inflammation
02:35:43.960 | I think
02:35:46.360 | the answer
02:35:46.780 | to that
02:35:47.140 | is yes
02:35:47.820 | is there
02:35:49.920 | variation
02:35:50.620 | in the
02:35:51.300 | inflammatory
02:35:51.840 | response
02:35:52.820 | between
02:35:53.580 | different
02:35:54.020 | people
02:35:54.500 | I think
02:35:55.540 | the answer
02:35:55.980 | to that
02:35:56.380 | is yes
02:35:59.880 | people
02:36:00.380 | have a
02:36:01.000 | hyper
02:36:01.420 | exaggerated
02:36:02.460 | inflammatory
02:36:05.580 | response
02:36:06.620 | in response
02:36:07.900 | vaccine
02:36:08.440 | I think
02:36:09.820 | the answer
02:36:10.280 | to that
02:36:10.700 | is yes
02:36:11.420 | in that
02:36:14.000 | condition
02:36:14.640 | so in
02:36:18.080 | common
02:36:18.520 | condition
02:36:19.100 | where
02:36:19.620 | somebody
02:36:20.000 | is having
02:36:20.740 | hyper
02:36:21.180 | exaggerated
02:36:22.080 | inflammatory
02:36:22.940 | response
02:36:24.980 | vaccination
02:36:25.660 | could that
02:36:27.540 | impact
02:36:28.160 | neurodevelopment
02:36:29.420 | the science
02:36:32.140 | right now
02:36:34.380 | we have
02:36:35.860 | no reason
02:36:36.420 | to think
02:36:36.980 | it wouldn't
02:36:38.400 | there's
02:36:39.440 | there's
02:36:43.480 | young
02:36:43.720 | child
02:36:45.160 | already
02:36:46.060 | had an
02:36:46.540 | existing
02:36:47.300 | mitochondrial
02:36:48.280 | disorder
02:36:48.960 | it was
02:36:50.560 | already
02:36:50.900 | known
02:36:51.340 | she got
02:36:52.680 | vaccines
02:36:53.520 | and I think
02:36:55.520 | within days
02:36:56.180 | or weeks
02:36:56.740 | of getting
02:36:57.240 | the vaccinations
02:36:58.040 | she developed
02:36:59.500 | profound
02:37:00.640 | neurodevelopmental
02:37:02.240 | symptoms
02:37:03.080 | symptoms
02:37:03.100 | that case
02:37:06.380 | won a
02:37:07.860 | lawsuit
02:37:08.460 | that went
02:37:11.000 | to court
02:37:11.500 | it was
02:37:12.020 | tried in
02:37:12.700 | court
02:37:13.040 | and she
02:37:14.780 | and the
02:37:15.640 | court ruled
02:37:16.580 | that the
02:37:17.200 | vaccine
02:37:17.840 | did in
02:37:18.940 | contribute
02:37:19.540 | to this
02:37:20.660 | girl's
02:37:21.460 | neurodevelopmental
02:37:22.460 | condition
02:37:23.060 | now they
02:37:25.020 | assumed it
02:37:25.700 | was because
02:37:26.100 | she had a
02:37:26.520 | pre-existing
02:37:27.160 | mitochondrial
02:37:27.880 | disorder
02:37:28.460 | and I
02:37:30.460 | would support
02:37:31.120 | that it
02:37:31.620 | lines up
02:37:32.460 | perfectly
02:37:32.920 | with what
02:37:34.080 | I've been
02:37:34.540 | talking about
02:37:35.500 | all along
02:37:36.420 | that people
02:37:38.220 | who have
02:37:38.780 | vulnerabilities
02:37:39.920 | with mitochondria
02:37:41.180 | or metabolism
02:37:41.900 | you can only
02:37:43.980 | absorb so
02:37:44.700 | many hits
02:37:45.440 | and when
02:37:46.620 | you get
02:37:47.140 | that final
02:37:48.400 | that tips
02:37:49.480 | kind of
02:37:50.180 | the balance
02:37:51.160 | to impact
02:37:52.880 | neurodevelopment
02:37:53.720 | you can get
02:37:57.300 | coming back
02:37:58.300 | to the
02:37:58.620 | bigger
02:37:59.120 | question
02:37:59.960 | so should
02:38:00.360 | people get
02:38:00.880 | vaccinated
02:38:01.340 | or not
02:38:02.080 | we do
02:38:04.420 | reasonably
02:38:06.140 | evidence
02:38:08.580 | unvaccinated
02:38:09.920 | people
02:38:10.480 | are more
02:38:12.120 | likely
02:38:12.680 | to develop
02:38:14.300 | autism
02:38:15.500 | vaccinated
02:38:16.120 | people
02:38:16.720 | is that
02:38:17.220 | right
02:38:17.440 | the problem
02:38:18.360 | with that
02:38:18.820 | study
02:38:19.300 | is that
02:38:20.160 | retrospective
02:38:23.500 | cohort
02:38:25.120 | epidemiological
02:38:26.280 | study
02:38:26.920 | and the
02:38:28.440 | biggest
02:38:28.840 | critique
02:38:30.160 | that I
02:38:31.360 | of that
02:38:31.800 | type of
02:38:32.240 | research
02:38:32.560 | is that
02:38:33.260 | researchers
02:38:33.700 | decide
02:38:34.340 | what they
02:38:34.780 | control
02:38:35.480 | and what
02:38:35.920 | don't
02:38:36.180 | control
02:38:36.880 | but the
02:38:39.040 | existing
02:38:39.580 | research
02:38:40.220 | right
02:38:41.240 | published
02:38:42.500 | designed
02:38:43.200 | suggests
02:38:46.920 | if you
02:38:48.800 | don't
02:38:49.220 | get a
02:38:49.520 | vaccine
02:38:49.900 | you're
02:38:50.520 | likely
02:38:51.020 | develop
02:38:51.280 | autism
02:38:51.960 | if you
02:38:52.420 | get a
02:38:52.780 | vaccine
02:38:53.300 | and how
02:38:54.480 | would I
02:38:54.760 | understand
02:38:55.560 | I just
02:38:56.260 | talked
02:38:56.740 | about
02:38:56.920 | infections
02:38:57.860 | themselves
02:38:58.680 | can cause
02:38:59.580 | neurodevelopmental
02:39:00.500 | disorders
02:39:01.260 | so if
02:39:02.620 | a child
02:39:03.440 | measles
02:39:04.160 | they're
02:39:06.580 | not only
02:39:06.980 | at risk
02:39:07.360 | of dying
02:39:07.980 | measles
02:39:08.400 | they're
02:39:08.980 | at risk
02:39:09.980 | impacting
02:39:10.760 | their
02:39:11.040 | mitochondrial
02:39:11.680 | function
02:39:12.100 | and developing
02:39:12.740 | a neurodevelopmental
02:39:13.760 | disorder
02:39:14.220 | as a result
02:39:14.880 | of getting
02:39:15.540 | a severe
02:39:16.160 | infection
02:39:16.820 | assuming
02:39:17.400 | there's
02:39:17.680 | choice
02:39:18.020 | there's
02:39:18.600 | a risk
02:39:18.900 | benefit
02:39:19.260 | analysis
02:39:19.720 | do you
02:39:21.420 | potential
02:39:23.600 | inflammation
02:39:24.440 | from the
02:39:24.900 | vaccine
02:39:25.340 | or lack
02:39:26.700 | run the
02:39:27.540 | gamble
02:39:27.820 | it's hard
02:39:28.280 | to predict
02:39:28.680 | who's
02:39:28.920 | going to have
02:39:29.260 | a big
02:39:29.640 | inflammatory
02:39:30.020 | response
02:39:30.680 | and who's
02:39:31.440 | although
02:39:33.200 | thinking
02:39:33.420 | in the
02:39:34.220 | about
02:39:34.360 | these
02:39:34.540 | lifestyle
02:39:35.000 | factors
02:39:35.660 | though
02:39:36.040 | a young
02:39:36.400 | child
02:39:38.480 | adolescent
02:39:38.940 | in some
02:39:39.340 | cases
02:39:40.000 | young
02:39:40.520 | children
02:39:40.880 | typically
02:39:41.320 | there are
02:39:42.280 | things
02:39:42.460 | that you
02:39:42.660 | can do
02:39:43.020 | to bolster
02:39:44.320 | health
02:39:46.600 | of that
02:39:47.120 | going
02:39:48.220 | vaccine
02:39:48.780 | you're
02:39:49.040 | choosing
02:39:49.460 | vaccinate
02:39:50.240 | right
02:39:50.620 | proper
02:39:50.960 | sleep
02:39:51.280 | proper
02:39:51.600 | nutrition
02:39:52.120 | proper
02:39:52.620 | everything
02:39:53.740 | wouldn't
02:39:54.900 | slightly
02:39:55.260 | sleep
02:39:55.640 | deprived
02:39:56.020 | because
02:39:56.660 | would
02:39:56.900 | increase
02:39:58.700 | inflammation
02:39:59.340 | right
02:39:59.680 | I mean
02:39:59.840 | these
02:39:59.980 | things
02:40:00.160 | compound
02:40:01.500 | understand
02:40:03.780 | you know
02:40:05.560 | I think
02:40:06.480 | what most
02:40:06.960 | all parents
02:40:07.540 | really want
02:40:08.160 | is a sense
02:40:08.700 | of control
02:40:09.620 | what are
02:40:10.640 | inevitably
02:40:11.320 | a mixture
02:40:12.200 | controllable
02:40:13.200 | and uncontrollable
02:40:14.020 | factors
02:40:14.540 | and this
02:40:15.180 | is what
02:40:15.440 | I hear
02:40:15.760 | when I
02:40:16.120 | really
02:40:16.900 | listen
02:40:17.280 | to this
02:40:17.760 | debate
02:40:18.060 | about
02:40:18.280 | vaccines
02:40:18.820 | I hear
02:40:20.420 | science
02:40:20.740 | colleagues
02:40:21.280 | inevitably
02:40:22.420 | saying
02:40:23.900 | Wakefield
02:40:26.980 | there's
02:40:27.340 | possibility
02:40:28.000 | then I
02:40:28.440 | parents
02:40:30.140 | having
02:40:30.840 | whose
02:40:32.180 | vaccines
02:40:33.460 | they're
02:40:35.260 | don't
02:40:35.980 | they're
02:40:36.340 | they're
02:40:36.620 | terrified
02:40:37.680 | these
02:40:37.940 | smart
02:40:38.220 | people
02:40:39.840 | don't
02:40:40.240 | believe
02:40:40.480 | anymore
02:40:40.860 | that's
02:40:41.600 | challenge
02:40:42.740 | science
02:40:45.840 | clear
02:40:48.300 | again
02:40:48.740 | we've
02:40:49.140 | decades
02:40:50.040 | research
02:40:51.020 | support
02:40:55.680 | think
02:41:00.140 | understand
02:41:01.200 | biology
02:41:06.260 | child
02:41:06.720 | begins
02:41:08.080 | symptoms
02:41:09.140 | neurodevelopmental
02:41:10.020 | disorder
02:41:10.640 | instead
02:41:13.120 | assigning
02:41:13.840 | label
02:41:15.280 | autism
02:41:17.900 | sentence
02:41:24.180 | should
02:41:24.700 | intervening
02:41:26.960 | could
02:41:27.820 | intervene
02:41:30.120 | terms
02:41:30.520 | prevention
02:41:31.040 | strategies
02:41:31.800 | absolutely
02:41:32.840 | let's
02:41:35.240 | before
02:41:35.660 | you're
02:41:36.020 | going
02:41:36.820 | doctor
02:41:37.520 | before
02:41:37.820 | you're
02:41:38.340 | exposing
02:41:38.880 | yourself
02:41:40.360 | these
02:41:40.760 | vaccines
02:41:41.980 | you're
02:41:42.340 | healthy
02:41:43.260 | because
02:41:44.300 | healthy
02:41:45.240 | wouldn't
02:41:46.320 | healthy
02:41:47.660 | let's
02:41:48.160 | healthy
02:41:49.800 | would
02:41:49.980 | actually
02:41:51.220 | further
02:41:53.680 | child
02:41:54.080 | begins
02:41:55.520 | signs
02:41:56.260 | symptoms
02:41:56.720 | especially
02:41:58.280 | abrupt
02:41:58.600 | change
02:42:01.120 | developing
02:42:02.340 | neurotypical
02:42:04.580 | sudden
02:42:05.560 | infection
02:42:07.240 | vaccine
02:42:07.840 | something
02:42:08.280 | happened
02:42:10.500 | falling
02:42:12.300 | trajectory
02:42:13.980 | that's
02:42:15.060 | these
02:42:15.680 | parents
02:42:16.520 | saying
02:42:17.760 | that's
02:42:19.620 | believe
02:42:19.960 | vaccines
02:42:20.580 | cause
02:42:22.260 | think
02:42:23.600 | vaccine
02:42:25.940 | suspect
02:42:26.400 | a lot
02:42:27.600 | other
02:42:28.620 | probably
02:42:29.620 | other
02:42:30.060 | vulnerabilities
02:42:30.820 | going
02:42:32.040 | vaccination
02:42:34.800 | vaccination
02:42:37.560 | entertain
02:42:38.380 | possibility
02:42:39.380 | vaccine
02:42:40.560 | contribute
02:42:41.300 | their
02:42:41.500 | autism
02:42:43.400 | doubtful
02:42:45.940 | cause
02:42:47.020 | doubtful
02:42:47.960 | cause
02:42:49.300 | regardless
02:42:51.620 | starts
02:42:51.880 | showing
02:42:52.160 | signs
02:42:52.560 | symptoms
02:42:55.300 | should
02:42:55.640 | doing
02:42:56.240 | workup
02:42:57.380 | should
02:42:57.720 | looking
02:42:58.260 | vitamin
02:42:58.880 | nutrient
02:42:59.180 | deficiencies
02:43:00.260 | should
02:43:00.520 | looking
02:43:01.160 | central
02:43:01.980 | deficiency
02:43:03.220 | vaccine
02:43:03.700 | somehow
02:43:04.160 | cause
02:43:05.460 | autoimmune
02:43:06.020 | reaction
02:43:06.920 | CD320
02:43:09.520 | central
02:43:10.420 | deficiency
02:43:13.120 | falling
02:43:14.380 | chart
02:43:14.800 | should
02:43:17.860 | entertain
02:43:18.720 | ketogenic
02:43:20.200 | child
02:43:21.400 | would
02:43:23.120 | should
02:43:23.740 | should
02:43:24.700 | table
02:43:25.300 | options
02:43:27.820 | might
02:43:29.160 | child
02:43:29.740 | ketogenic
02:43:31.520 | happen
02:43:31.860 | happens
02:43:33.300 | epilepsy
02:43:36.160 | neurodevelopmental
02:43:36.920 | conditions
02:43:38.420 | again
02:43:40.520 | going
02:43:41.780 | don't
02:43:42.240 | think
02:43:42.440 | about
02:43:42.780 | central
02:43:43.620 | deficiency
02:43:44.580 | these
02:43:44.720 | other
02:43:44.920 | things
02:43:45.920 | let's
02:43:46.580 | together
02:43:47.800 | especially
02:43:51.380 | solvable
02:43:51.900 | puzzle
02:43:53.560 | complex
02:43:53.980 | puzzle
02:43:54.560 | doubt
02:43:56.540 | solvable
02:43:56.960 | puzzle
02:43:58.140 | should
02:43:58.400 | start
02:43:58.900 | solve
02:43:59.640 | right
02:44:01.300 | state
02:44:01.820 | field
02:44:02.680 | assign
02:44:03.220 | label
02:44:03.480 | autism
02:44:07.400 | parents
02:44:08.220 | prepare
02:44:09.420 | disabled
02:44:09.860 | child
02:44:12.500 | prepare
02:44:12.860 | yourself
02:44:15.560 | disabled
02:44:15.960 | child
02:44:16.900 | we're
02:44:17.180 | really
02:44:17.420 | sorry
02:44:18.820 | don't
02:44:19.160 | anything
02:44:19.760 | offer
02:44:22.220 | training
02:44:23.680 | basic
02:44:24.560 | we'll
02:44:25.200 | teach
02:44:25.800 | social
02:44:26.100 | skills
02:44:28.700 | outcome
02:44:29.640 | on that
02:44:30.300 | pretty
02:44:34.780 | brain's
02:44:35.300 | working
02:44:35.640 | right
02:44:37.280 | teach
02:44:37.620 | people
02:44:40.200 | skills
02:44:40.920 | brain
02:44:41.540 | designed
02:44:43.540 | that's
02:44:44.320 | challenge
02:44:48.340 | recognize
02:44:49.020 | problem
02:44:50.780 | effective
02:44:51.100 | treatments
02:44:52.460 | a lot
02:44:54.840 | people
02:44:55.420 | talk about
02:44:55.780 | early
02:44:56.080 | intervention
02:44:56.820 | autism
02:44:57.320 | as though
02:44:58.220 | early
02:44:58.520 | intervention
02:44:58.980 | is going
02:44:59.440 | to save
02:45:02.840 | don't
02:45:02.980 | I don't
02:45:03.140 | to bash
02:45:04.300 | people
02:45:04.540 | doing
02:45:05.380 | let's
02:45:07.140 | anything
02:45:10.580 | might
02:45:11.160 | little
02:45:13.280 | outcome
02:45:14.420 | helping
02:45:16.620 | statistics
02:45:17.680 | prevalence
02:45:18.320 | autism
02:45:18.980 | going
02:45:19.160 | through
02:45:20.940 | those
02:45:21.180 | strategies
02:45:22.320 | working
02:45:22.680 | they're
02:45:23.220 | working
02:45:23.720 | prevention
02:45:24.140 | they're
02:45:24.880 | working
02:45:25.580 | improve
02:45:25.960 | long-term
02:45:26.320 | outcomes
02:45:26.860 | they're
02:45:30.920 | appreciate
02:45:31.680 | thoroughness
02:45:32.420 | answer
02:45:33.300 | promise
02:45:35.760 | anything
02:45:37.500 | about
02:45:38.080 | include
02:45:38.740 | context
02:45:39.320 | we're
02:45:40.140 | we're
02:45:40.480 | people
02:45:41.200 | soundbite
02:45:43.280 | going
02:45:44.000 | going
02:45:44.740 | rabid
02:45:46.540 | posting
02:45:47.440 | preamble
02:45:47.860 | because
02:45:48.420 | important
02:45:49.120 | people
02:45:49.960 | context
02:45:50.900 | and I
02:45:51.760 | really
02:45:52.160 | appreciate
02:45:53.040 | embracing
02:45:54.300 | topic
02:45:55.320 | depth
02:45:56.040 | rigor
02:45:56.680 | sensitivity
02:45:59.900 | because
02:46:02.620 | don't
02:46:02.820 | think
02:46:04.620 | vaccine
02:46:05.560 | question
02:46:06.400 | anymore
02:46:08.640 | never
02:46:08.900 | thought
02:46:09.620 | lifetime
02:46:10.320 | vaccines
02:46:10.960 | would
02:46:11.400 | thing
02:46:12.340 | everyone
02:46:13.640 | polio
02:46:14.120 | vaccine
02:46:14.660 | measles
02:46:14.960 | vaccine
02:46:16.300 | about
02:46:17.180 | understand
02:46:17.620 | number
02:46:17.980 | vaccines
02:46:19.420 | getting
02:46:20.160 | vaccine
02:46:20.480 | schedule
02:46:21.040 | expanded
02:46:25.640 | kind of
02:46:27.200 | thrown
02:46:27.440 | into the
02:46:27.860 | middle
02:46:28.020 | of this
02:46:28.560 | different
02:46:28.820 | guests
02:46:29.700 | podcast
02:46:30.020 | who've
02:46:31.340 | vaccine
02:46:31.800 | others
02:46:32.980 | don't
02:46:35.060 | there
02:46:35.520 | separator
02:46:36.060 | besides
02:46:36.820 | Democrat
02:46:37.340 | versus
02:46:37.680 | Republican
02:46:38.680 | vaccine
02:46:39.100 | thing
02:46:40.720 | really
02:46:41.340 | separator
02:46:44.040 | closely
02:46:45.300 | believes
02:46:46.780 | science
02:46:47.120 | doesn't
02:46:47.440 | believe
02:46:47.780 | science
02:46:48.200 | those
02:46:48.780 | stereotypes
02:46:49.220 | right
02:46:50.560 | suspicious
02:46:51.940 | science
02:46:53.420 | and CDC
02:46:54.440 | believes
02:46:54.960 | science
02:46:56.840 | wholeheartedly
02:46:58.220 | divide
02:46:59.100 | stark
02:47:00.720 | needs
02:47:02.080 | divide
02:47:02.560 | needs
02:47:04.080 | start
02:47:04.260 | filling
02:47:04.860 | answers
02:47:07.360 | think
02:47:07.480 | there's
02:47:07.900 | to be
02:47:08.580 | exploration
02:47:10.620 | scientific
02:47:11.100 | exploration
02:47:11.640 | of the
02:47:12.020 | relationship
02:47:12.400 | between
02:47:12.720 | vaccines
02:47:13.380 | autism
02:47:13.640 | I read
02:47:14.160 | someplace
02:47:15.140 | which
02:47:15.340 | means
02:47:15.660 | but I
02:47:17.480 | think
02:47:17.620 | that's
02:47:18.340 | think
02:47:18.640 | people
02:47:19.360 | upset
02:47:20.000 | resources
02:47:21.360 | going
02:47:21.760 | devoted
02:47:22.380 | because
02:47:24.720 | others
02:47:25.280 | excited
02:47:25.640 | because
02:47:26.860 | listen
02:47:28.440 | don't
02:47:28.680 | think
02:47:28.820 | there's
02:47:30.180 | here's
02:47:30.760 | opportunity
02:47:31.580 | establish
02:47:33.580 | rigor
02:47:34.880 | think
02:47:35.020 | everyone's
02:47:35.520 | really
02:47:35.860 | interested
02:47:36.680 | studies
02:47:36.940 | being
02:47:37.340 | properly
02:47:39.100 | think
02:47:39.900 | always
02:47:40.140 | great
02:47:41.220 | don't
02:47:41.520 | disagree
02:47:43.100 | actually
02:47:43.360 | talked
02:47:44.360 | former
02:47:45.360 | directors
02:47:45.800 | about
02:47:47.200 | other
02:47:47.500 | leading
02:47:48.120 | people
02:47:49.680 | field
02:47:51.100 | there's
02:47:52.480 | no doubt
02:47:53.080 | that this
02:47:53.580 | topic
02:47:54.180 | has been
02:47:54.780 | brought up
02:47:55.280 | multiple
02:47:55.780 | times
02:47:58.200 | there's
02:47:58.720 | interagency
02:47:59.860 | coordinating
02:48:01.400 | committee
02:48:03.680 | autism
02:48:04.260 | within
02:48:06.480 | among
02:48:07.320 | all of
02:48:09.460 | centers
02:48:10.520 | institutes
02:48:11.500 | that's
02:48:11.980 | existed
02:48:12.620 | decades
02:48:14.620 | looked
02:48:16.320 | issue
02:48:17.860 | talked
02:48:18.700 | autism
02:48:19.360 | advocates
02:48:19.960 | who've
02:48:21.020 | I was
02:48:21.460 | hoping
02:48:22.460 | vaccines
02:48:22.900 | might
02:48:25.400 | cause
02:48:26.640 | I was
02:48:26.820 | really
02:48:27.040 | hoping
02:48:27.360 | to see
02:48:27.880 | vaccines
02:48:28.540 | cause
02:48:28.820 | because
02:48:29.760 | would
02:48:30.920 | cause
02:48:31.660 | would
02:48:34.220 | interventions
02:48:36.740 | vaccine
02:48:37.160 | safer
02:48:37.840 | whatever
02:48:41.280 | there
02:48:42.260 | there
02:48:43.180 | former
02:48:44.840 | director
02:48:45.180 | that I
02:48:45.500 | spoke
02:48:47.300 | there
02:48:47.680 | Chris
02:48:48.520 | there
02:48:50.220 | looked
02:48:51.120 | looked
02:48:52.300 | again
02:48:55.920 | everybody
02:48:57.120 | looked
02:49:00.660 | degree
02:49:01.160 | scrutiny
02:49:01.600 | again
02:49:02.200 | study
02:49:03.580 | looked
02:49:04.580 | people
02:49:05.480 | unvaccinated
02:49:07.120 | choice
02:49:08.080 | these
02:49:08.540 | rebellious
02:49:09.480 | people
02:49:11.120 | defying
02:49:12.120 | state
02:49:15.320 | risking
02:49:16.980 | getting
02:49:17.360 | their
02:49:17.580 | children
02:49:18.300 | schools
02:49:18.860 | because
02:49:19.160 | they're
02:49:19.700 | getting
02:49:20.080 | vaccinations
02:49:20.860 | that's
02:49:23.480 | cohort
02:49:24.140 | unvaccinated
02:49:24.940 | people
02:49:27.640 | they're
02:49:27.820 | comparing
02:49:28.880 | cohort
02:49:29.480 | vaccinated
02:49:30.000 | people
02:49:32.000 | controlled
02:49:35.120 | three
02:49:35.460 | variables
02:49:38.500 | control
02:49:39.400 | obesity
02:49:41.460 | didn't
02:49:41.780 | control
02:49:42.420 | diabetes
02:49:44.160 | obesity
02:49:44.760 | diabetes
02:49:46.420 | autism
02:49:49.260 | people
02:49:51.040 | existing
02:49:51.640 | health
02:49:52.040 | conditions
02:49:52.640 | might
02:49:53.860 | actually
02:49:54.860 | likely
02:49:56.380 | worried
02:49:56.940 | about
02:49:57.240 | vaccines
02:49:59.280 | vaccines
02:49:59.940 | perfectly
02:50:01.120 | happy
02:50:01.560 | healthy
02:50:02.000 | thriving
02:50:02.540 | people
02:50:03.300 | usually
02:50:04.120 | along
02:50:04.620 | status
02:50:06.300 | usually
02:50:06.580 | don't
02:50:06.880 | refuse
02:50:07.240 | vaccines
02:50:08.980 | people
02:50:09.520 | refusing
02:50:09.960 | vaccines
02:50:10.520 | probably
02:50:11.780 | pre-existing
02:50:12.380 | health
02:50:12.740 | condition
02:50:14.340 | didn't
02:50:14.540 | control
02:50:16.400 | pre-existing
02:50:17.040 | health
02:50:17.380 | condition
02:50:17.800 | increase
02:50:18.940 | autism
02:50:19.600 | probably
02:50:21.820 | well if
02:50:23.060 | there's an
02:50:23.400 | inflammation
02:50:24.280 | then yes
02:50:25.440 | probably
02:50:26.260 | I mean
02:50:26.880 | you look
02:50:27.220 | at any
02:50:27.640 | pre-existing
02:50:28.240 | health
02:50:28.580 | condition
02:50:28.960 | and does
02:50:29.460 | increase
02:50:30.360 | other
02:50:30.660 | health
02:50:30.900 | conditions
02:50:31.380 | usually
02:50:32.080 | answer
02:50:34.800 | women
02:50:35.420 | obesity
02:50:36.620 | likely
02:50:37.040 | twice
02:50:38.100 | likely
02:50:38.400 | to have
02:50:39.300 | autistic
02:50:39.620 | child
02:50:40.100 | is that
02:50:40.320 | right
02:50:41.220 | meta-analysis
02:50:43.180 | 3 million
02:50:43.640 | people
02:50:44.080 | women
02:50:45.120 | obesity
02:50:46.020 | double
02:50:47.000 | having
02:50:47.380 | autistic
02:50:47.680 | child
02:50:50.520 | rates
02:50:50.880 | obesity
02:50:51.500 | skyrocketing
02:50:52.200 | in our
02:50:52.380 | population
02:50:52.920 | the answer
02:50:55.240 | pregnant
02:50:55.640 | women
02:50:56.360 | in that
02:50:57.220 | of obese
02:50:57.760 | women
02:50:58.600 | well that
02:50:59.840 | accounts
02:51:00.180 | for a
02:51:00.500 | doubling
02:51:01.180 | autism
02:51:04.720 | diabetes
02:51:06.600 | women
02:51:08.500 | diabetes
02:51:09.140 | twice as
02:51:10.660 | likely
02:51:11.040 | to have
02:51:11.920 | autistic
02:51:12.300 | children
02:51:12.820 | as women
02:51:13.400 | who don't
02:51:13.920 | diabetes
02:51:14.380 | when you
02:51:15.880 | put the
02:51:16.240 | two together
02:51:16.900 | obese
02:51:17.640 | and diabetic
02:51:18.560 | quadruple
02:51:20.060 | quadruple
02:51:20.080 | the rate
02:51:21.540 | autism
02:51:22.020 | in the
02:51:22.680 | offspring
02:51:23.760 | about
02:51:24.380 | you know
02:51:25.080 | there are
02:51:25.420 | these
02:51:25.560 | theories
02:51:25.880 | about
02:51:26.440 | statistically
02:51:27.320 | significant
02:51:28.240 | increases
02:51:28.860 | in rates
02:51:29.360 | of autism
02:51:30.580 | offspring
02:51:32.300 | who are
02:51:33.080 | 50 or
02:51:33.700 | older
02:51:34.840 | read of
02:51:35.880 | is that
02:51:37.500 | still a
02:51:38.140 | small
02:51:38.900 | increase
02:51:40.180 | not like
02:51:40.480 | the kind
02:51:40.820 | increases
02:51:41.180 | you're
02:51:41.460 | describing
02:51:42.920 | diabetes
02:51:43.420 | it is
02:51:45.400 | obesity
02:51:46.080 | twice
02:51:47.040 | likely
02:51:48.000 | autistic
02:51:48.420 | child
02:51:50.500 | obese
02:51:50.880 | which
02:51:51.360 | something
02:51:54.740 | times
02:51:55.380 | greater
02:51:56.480 | increase
02:52:00.320 | important
02:52:00.700 | because
02:52:00.940 | people
02:52:02.100 | older
02:52:03.240 | sperm
02:52:03.640 | equals
02:52:04.080 | higher
02:52:04.740 | probability
02:52:05.420 | autism
02:52:06.140 | still
02:52:07.060 | probability
02:52:08.060 | autism
02:52:08.360 | compared
02:52:10.280 | obese
02:52:10.900 | in his
02:52:14.120 | you know
02:52:15.480 | a lot
02:52:15.840 | people
02:52:16.180 | hyper
02:52:16.440 | focused
02:52:16.980 | vaccines
02:52:17.480 | cause
02:52:17.780 | autism
02:52:20.400 | rates
02:52:21.160 | autism
02:52:21.660 | skyrocketing
02:52:22.320 | there
02:52:23.040 | reason
02:52:24.920 | agree
02:52:25.220 | rates
02:52:25.660 | autism
02:52:26.180 | skyrocketing
02:52:27.440 | agree
02:52:27.680 | there
02:52:28.620 | reason
02:52:28.960 | maybe
02:52:30.380 | we're
02:52:30.600 | missing
02:52:31.040 | elephant
02:52:31.940 | rates
02:52:33.380 | metabolic
02:52:35.240 | health
02:52:35.980 | skyrocketing
02:52:37.320 | population
02:52:37.940 | rates
02:52:38.740 | obesity
02:52:39.320 | diabetes
02:52:39.940 | skyrocketing
02:52:41.280 | rates
02:52:42.120 | metabolic
02:52:42.520 | health
02:52:43.640 | metabolic
02:52:44.580 | syndrome
02:52:45.720 | biomarkers
02:52:46.700 | you know
02:52:47.860 | abdominal
02:52:48.440 | obesity
02:52:49.080 | blood
02:52:49.600 | pressure
02:52:50.220 | glucose
02:52:53.220 | high levels
02:52:54.200 | of glucose
02:52:54.660 | and then
02:52:55.780 | high triglycerides
02:52:57.820 | and low
02:52:58.580 | HDL cholesterol
02:52:59.620 | those are the
02:53:00.440 | five biomarkers
02:53:01.440 | of metabolic
02:53:01.960 | syndrome
02:53:06.240 | Americans
02:53:08.880 | healthy
02:53:10.720 | biomarkers
02:53:11.660 | yikes
02:53:18.760 | metabolic
02:53:19.260 | health
02:53:19.980 | influences
02:53:21.160 | neurodevelopment
02:53:22.820 | offspring
02:53:27.360 | skyrocketing
02:53:28.260 | rates
02:53:28.580 | autism
02:53:29.720 | autism
02:53:30.460 | skyrocketing
02:53:31.280 | rates
02:53:32.860 | simultaneously
02:53:35.240 | everybody
02:53:35.740 | scratching
02:53:36.280 | their
02:53:36.520 | heads
02:53:36.740 | trying
02:53:37.080 | figure
02:53:37.400 | where
02:53:38.140 | autism
02:53:38.540 | coming
02:53:39.100 | where
02:53:40.480 | coming
02:53:42.600 | around
02:53:43.060 | people
02:53:44.760 | metabolic
02:53:45.120 | health
02:53:45.740 | of the
02:53:46.520 | United
02:53:46.840 | States
02:53:47.200 | population
02:53:47.840 | declines
02:53:49.860 | going
02:53:51.160 | neurodevelopmental
02:53:53.160 | disorders
02:53:55.400 | critical
02:53:55.760 | message
02:53:56.800 | reassuring
02:53:58.420 | in the
02:53:58.780 | sense
02:54:00.840 | something
02:54:01.220 | about
02:54:02.620 | because
02:54:03.300 | you're
02:54:03.440 | talking
02:54:03.700 | about
02:54:04.240 | metabolic
02:54:04.880 | dysfunction
02:54:06.420 | mitochondrial
02:54:07.440 | dysfunction
02:54:07.960 | of the
02:54:09.160 | parents
02:54:09.560 | right
02:54:12.120 | you know
02:54:13.320 | trying to
02:54:14.020 | control
02:54:14.780 | behavior
02:54:15.860 | still
02:54:16.340 | unborn
02:54:16.900 | or yet
02:54:18.020 | to be
02:54:18.300 | conceived
02:54:18.600 | children
02:54:19.100 | is pretty
02:54:19.560 | tough
02:54:19.860 | to do
02:54:22.540 | anyone
02:54:23.440 | thinking
02:54:24.080 | conceiving
02:54:25.300 | should
02:54:26.380 | really
02:54:27.360 | close
02:54:27.640 | attention
02:54:28.120 | their
02:54:28.260 | metabolic
02:54:28.540 | health
02:54:29.140 | clearly
02:54:29.600 | message
02:54:30.540 | think
02:54:30.760 | obesity
02:54:31.280 | becomes
02:54:31.780 | a little
02:54:36.260 | critical
02:54:36.740 | factor
02:54:37.560 | yet a
02:54:38.100 | distractor
02:54:39.000 | that wasn't
02:54:39.380 | meant to
02:54:39.700 | rhyme
02:54:39.920 | for when
02:54:40.940 | we hear
02:54:41.180 | metabolic
02:54:41.520 | health
02:54:41.900 | I think
02:54:42.180 | a number
02:54:42.920 | of people
02:54:43.200 | hearing
02:54:44.600 | overweight
02:54:46.420 | mitochondria
02:54:46.940 | are probably
02:54:47.460 | healthy
02:54:48.500 | what you
02:54:49.080 | listed
02:54:49.720 | included
02:54:50.180 | high triglycerides
02:54:51.940 | you said
02:54:53.900 | blood pressure
02:54:54.480 | which
02:54:54.720 | you know
02:54:55.100 | there's
02:54:56.360 | people
02:54:57.800 | you know
02:54:58.840 | apparently
02:54:59.760 | obese
02:55:00.300 | people
02:55:00.840 | I say
02:55:01.820 | apparently
02:55:02.200 | obese
02:55:02.500 | because
02:55:02.720 | a lot
02:55:03.000 | of people
02:55:03.180 | are carrying
02:55:03.520 | a higher
02:55:03.800 | body fat
02:55:04.280 | percentage
02:55:04.720 | than they
02:55:05.120 | realize
02:55:05.520 | even though
02:55:05.920 | they're
02:55:06.660 | taking up
02:55:07.520 | a lot
02:55:07.760 | of space
02:55:09.620 | think
02:55:09.780 | you know
02:55:10.320 | it's not
02:55:12.860 | always
02:55:13.100 | and low
02:55:14.200 | so sometimes
02:55:15.640 | you know
02:55:16.560 | we're shocked
02:55:17.000 | to see
02:55:17.760 | this person
02:55:18.300 | is like
02:55:18.900 | apparently
02:55:19.520 | healthy
02:55:19.920 | but has
02:55:20.540 | you know
02:55:21.140 | low HDL
02:55:21.960 | and has
02:55:22.340 | got their
02:55:23.260 | is through
02:55:23.600 | the roof
02:55:24.040 | and they're
02:55:24.620 | they're not
02:55:25.720 | but just
02:55:26.800 | because they're
02:55:27.200 | not obese
02:55:28.520 | doesn't mean
02:55:29.200 | they're metabolically
02:55:29.880 | healthy
02:55:30.200 | correct
02:55:30.640 | that is
02:55:31.420 | absolutely
02:55:32.240 | correct
02:55:32.820 | and I go
02:55:33.640 | back to
02:55:34.220 | some of our
02:55:35.200 | prior
02:55:35.420 | conversation
02:55:36.860 | a 14 year
02:55:38.880 | old girl
02:55:39.900 | is severely
02:55:42.100 | iron deficient
02:55:43.080 | is metabolically
02:55:45.500 | unhealthy
02:55:47.420 | because her
02:55:48.340 | mitochondria
02:55:48.940 | can't
02:55:49.280 | function
02:55:49.560 | properly
02:55:50.020 | without
02:55:50.960 | she can
02:55:52.340 | be thin
02:55:53.000 | she can
02:55:55.720 | otherwise
02:55:56.860 | look like
02:55:57.900 | a healthy
02:55:58.520 | attractive
02:56:02.180 | she can
02:56:03.160 | metabolically
02:56:04.000 | unhealthy
02:56:04.840 | because she
02:56:05.420 | doesn't
02:56:06.280 | all of the
02:56:06.900 | essential
02:56:07.380 | vitamins
02:56:07.900 | and nutrients
02:56:08.540 | that she
02:56:08.900 | needs
02:56:09.460 | to have
02:56:10.780 | properly
02:56:11.440 | functioning
02:56:12.100 | mitochondria
02:56:12.920 | and metabolism
02:56:15.080 | why would
02:56:16.360 | that matter
02:56:17.120 | it matters
02:56:17.900 | because she
02:56:18.620 | might develop
02:56:19.520 | an anxiety
02:56:20.560 | disorder
02:56:21.240 | or she
02:56:22.100 | might develop
02:56:22.800 | depression
02:56:23.340 | or she
02:56:24.460 | might develop
02:56:25.140 | symptoms of
02:56:25.740 | an eating
02:56:26.200 | disorder
02:56:26.820 | and then
02:56:28.280 | we're all
02:56:28.660 | scratching our
02:56:29.300 | heads
02:56:29.540 | giving those
02:56:30.040 | labels
02:56:30.440 | oh you've
02:56:31.260 | depression
02:56:31.700 | you've
02:56:32.140 | anxiety
02:56:32.560 | you need
02:56:33.260 | Prozac
02:56:34.160 | and maybe
02:56:35.340 | she really
02:56:35.860 | needs
02:56:36.620 | right
02:56:38.280 | I mean
02:56:38.780 | what I
02:56:39.440 | realized
02:56:39.960 | and this
02:56:40.560 | was really
02:56:40.960 | where I
02:56:41.280 | wanted to
02:56:41.780 | bring us
02:56:45.880 | question
02:56:46.260 | for you
02:56:46.800 | I have
02:56:47.200 | an idea
02:56:47.960 | let's also
02:56:48.980 | pose the
02:56:49.480 | question
02:56:49.760 | as an
02:56:50.300 | and feel
02:56:50.660 | free to
02:56:51.000 | bat it
02:56:52.660 | beginning
02:56:52.940 | to think
02:56:53.380 | that in
02:56:53.800 | order to
02:56:54.160 | get out
02:56:54.540 | of this
02:56:54.900 | health
02:56:55.700 | that we're
02:56:56.320 | that clearly
02:56:57.200 | relates to
02:56:58.080 | mitochondrial
02:56:58.860 | dysfunction
02:56:59.340 | and at the
02:57:01.100 | same time
02:57:01.500 | there are
02:57:02.040 | tools
02:57:02.720 | the lifestyle
02:57:03.640 | tools that
02:57:04.260 | you described
02:57:04.840 | there
02:57:05.200 | yes there
02:57:05.840 | are supplements
02:57:06.320 | and maybe
02:57:06.900 | methylene
02:57:07.420 | blue will be
02:57:08.260 | advantageous
02:57:09.740 | methylate B12
02:57:11.100 | perhaps but
02:57:11.720 | certainly the
02:57:12.180 | lifestyle
02:57:12.480 | factors
02:57:13.040 | most people
02:57:14.640 | again when
02:57:15.800 | they hear
02:57:16.260 | metabolic
02:57:16.780 | health
02:57:17.280 | they just
02:57:17.640 | think
02:57:18.160 | metabolism
02:57:18.760 | obesity
02:57:19.420 | thinness
02:57:20.040 | or fatness
02:57:20.780 | and it sort
02:57:21.800 | of becomes
02:57:22.280 | a gravitational
02:57:23.200 | pull towards
02:57:24.200 | do you think
02:57:25.460 | it's possible
02:57:26.080 | to create
02:57:26.620 | a metric
02:57:27.260 | I don't want
02:57:28.600 | to say BMI
02:57:29.160 | as an example
02:57:29.960 | because that's
02:57:30.460 | controversial for
02:57:31.260 | some people
02:57:31.700 | but is it
02:57:33.340 | possible to
02:57:34.120 | create a metric
02:57:34.880 | of all around
02:57:36.360 | metabolic health
02:57:37.240 | that would be
02:57:38.200 | incentivized so
02:57:39.180 | that people
02:57:40.360 | can live better
02:57:40.920 | lives
02:57:41.320 | their
02:57:41.580 | offspring
02:57:41.880 | can be
02:57:42.300 | healthier
02:57:42.580 | as well
02:57:43.160 | and we
02:57:43.900 | can unburden
02:57:44.920 | the health
02:57:45.260 | care system
02:57:45.840 | and potentially
02:57:46.740 | avoid millions
02:57:48.220 | and millions
02:57:48.600 | of people
02:57:48.960 | having these
02:57:49.520 | so-called
02:57:50.120 | incurable
02:57:50.820 | mental health
02:57:51.960 | disorders
02:57:52.500 | in air
02:57:53.360 | quotes
02:57:53.760 | you know
02:57:55.180 | what you're
02:57:55.480 | describing
02:57:55.940 | is kind
02:57:56.600 | in my
02:57:57.900 | a really
02:58:00.500 | important
02:58:01.200 | next step
02:58:02.680 | and the
02:58:04.240 | great news
02:58:04.720 | is that there
02:58:05.300 | are several
02:58:06.280 | research groups
02:58:07.100 | that I know
02:58:07.660 | of that are
02:58:08.660 | working on
02:58:09.240 | exactly that
02:58:10.100 | one is a
02:58:11.460 | commercial
02:58:11.860 | company
02:58:12.540 | I'm not going
02:58:13.340 | to name any
02:58:13.800 | names but
02:58:14.460 | one is a
02:58:14.940 | commercial
02:58:15.200 | company that
02:58:15.940 | has a
02:58:16.720 | product of
02:58:19.500 | a series of
02:58:20.620 | biomarkers
02:58:21.280 | blood biomarkers
02:58:22.320 | that they
02:58:22.720 | believe
02:58:23.200 | represent
02:58:24.920 | ultimately
02:58:25.520 | mitochondrial
02:58:26.200 | dysfunction
02:58:26.800 | all of the
02:58:27.960 | different cellular
02:58:28.680 | pathways that
02:58:29.500 | can result in
02:58:30.320 | mitochondrial
02:58:30.800 | dysfunction
02:58:31.240 | and or can
02:58:32.580 | reflect
02:58:33.180 | mitochondrial
02:58:33.940 | dysfunction
02:58:34.460 | and they
02:58:36.400 | believe that
02:58:37.160 | their test
02:58:38.120 | might be able
02:58:39.900 | to predict
02:58:40.480 | the development
02:58:41.200 | of autism
02:58:41.820 | that every
02:58:43.560 | child at age
02:58:44.320 | one should
02:58:44.860 | get this
02:58:45.280 | blood biomarker
02:58:46.320 | and it will
02:58:47.520 | tell us who's
02:58:48.420 | at high risk
02:58:49.160 | developing a
02:58:50.100 | neurodevelopmental
02:58:50.740 | disorder
02:58:51.240 | the test
02:58:52.960 | itself doesn't
02:58:53.840 | tell us what's
02:58:54.460 | wrong it just
02:58:55.220 | tells us something's
02:58:56.140 | wrong and then
02:58:57.440 | the clinicians need
02:58:58.880 | to go to work and
02:58:59.700 | try to figure out
02:59:00.300 | what is going on
02:59:01.440 | what is causing
02:59:02.460 | this metabolic
02:59:03.780 | mitochondrial
02:59:04.740 | dysregulation
02:59:05.700 | so that we could
02:59:07.500 | potentially intervene
02:59:08.520 | I've talked with one
02:59:09.820 | of the leading
02:59:10.560 | mitochondrial
02:59:11.280 | researchers really
02:59:12.180 | in the world
02:59:12.820 | he's got a set
02:59:14.140 | of 20 biomarkers
02:59:15.760 | that he believes
02:59:17.560 | represent mitochondrial
02:59:19.140 | dysfunction broadly
02:59:20.160 | and then there's
02:59:21.220 | another research
02:59:22.060 | group that
02:59:23.820 | has actually
02:59:25.720 | narrowed it down
02:59:26.720 | to just five
02:59:27.640 | different biomarkers
02:59:28.960 | in men
02:59:29.700 | and five
02:59:31.260 | slightly different
02:59:32.440 | there's some
02:59:32.960 | overlap but
02:59:33.580 | slight differences
02:59:34.260 | in women
02:59:35.500 | and those
02:59:37.200 | five biomarkers
02:59:38.580 | alone were
02:59:39.420 | able to
02:59:40.160 | distinguish
02:59:40.820 | people with
02:59:41.720 | chronic severe
02:59:42.740 | suicidal depression
02:59:43.840 | from healthy
02:59:44.600 | controls
02:59:45.140 | with over
02:59:47.120 | sensitivity
02:59:47.760 | and specificity
02:59:48.900 | so I think
02:59:50.700 | that is
02:59:51.360 | one of the
02:59:51.940 | directions we
02:59:52.520 | need to go
02:59:53.180 | is we need
02:59:53.940 | to establish
02:59:55.520 | tests
02:59:56.280 | with all of
02:59:57.620 | these groups
02:59:58.060 | I want to
02:59:58.480 | just state
02:59:59.400 | clearly and
03:00:00.380 | plainly
03:00:00.700 | because one
03:00:00.980 | of the common
03:00:01.360 | questions I get
03:00:01.980 | is what's
03:00:02.780 | the blood test
03:00:03.460 | I can get
03:00:04.020 | for my
03:00:04.400 | mitochondrial
03:00:05.020 | health
03:00:05.400 | there isn't
03:00:06.680 | that's the
03:00:07.800 | answer
03:00:08.000 | there is
03:00:08.440 | not one
03:00:09.020 | there are
03:00:10.380 | lots of
03:00:12.100 | different biomarkers
03:00:13.260 | that can
03:00:14.280 | suggest
03:00:14.860 | dysregulation
03:00:15.900 | of metabolism
03:00:16.700 | and mitochondrial
03:00:17.520 | function
03:00:18.060 | and again
03:00:19.280 | these three
03:00:19.840 | research groups
03:00:20.480 | are all
03:00:20.820 | working on
03:00:21.640 | in order to
03:00:22.800 | get those
03:00:23.260 | five biomarkers
03:00:24.440 | for men
03:00:24.820 | and women
03:00:25.180 | I think
03:00:25.760 | they measured
03:00:26.180 | 400 different
03:00:27.180 | biomarkers
03:00:28.040 | so we need
03:00:29.480 | to make sure
03:00:29.980 | that gets
03:00:30.740 | replicated
03:00:31.400 | that it's
03:00:32.300 | prospectively
03:00:33.540 | it can
03:00:33.980 | identify
03:00:34.400 | people
03:00:39.340 | concerned
03:00:39.980 | about
03:00:40.580 | kind of
03:00:41.480 | incentivizing
03:00:42.400 | and let's
03:00:42.880 | give insurance
03:00:43.480 | discounts
03:00:44.040 | and other
03:00:44.560 | things
03:00:44.940 | I actually
03:00:45.560 | think
03:00:45.860 | the majority
03:00:46.860 | of human
03:00:47.400 | beings
03:00:47.720 | that I
03:00:48.340 | authentically
03:00:49.160 | want to
03:00:49.740 | be healthy
03:00:50.680 | and they
03:00:52.240 | authentically
03:00:53.020 | they really
03:00:53.940 | want to have
03:00:54.500 | healthy
03:00:54.820 | children
03:00:55.220 | they will
03:00:57.480 | do anything
03:00:58.060 | to have
03:00:58.420 | healthy
03:00:58.720 | children
03:01:00.900 | don't think
03:01:01.260 | we need
03:01:01.640 | necessarily
03:01:02.020 | need to
03:01:02.480 | come up
03:01:02.840 | with some
03:01:03.580 | incentives
03:01:05.060 | right now
03:01:06.320 | I think
03:01:07.100 | if we
03:01:07.380 | develop
03:01:07.920 | evidence-based
03:01:09.660 | tools
03:01:12.060 | prospective
03:01:12.660 | parents
03:01:13.220 | can use
03:01:14.040 | to assess
03:01:16.020 | their own
03:01:16.900 | metabolic
03:01:17.540 | mitochondrial
03:01:18.240 | health
03:01:18.640 | and maybe
03:01:20.180 | more importantly
03:01:21.880 | assess
03:01:24.120 | their
03:01:24.920 | prospective
03:01:26.160 | children's
03:01:27.360 | health
03:01:27.760 | and then
03:01:30.540 | we pair
03:01:31.460 | that with
03:01:32.020 | evidence-based
03:01:32.860 | strategies
03:01:33.560 | to help
03:01:34.140 | them improve
03:01:35.060 | their
03:01:35.340 | metabolic
03:01:35.740 | health
03:01:36.400 | so that
03:01:38.240 | it will
03:01:38.580 | improve
03:01:39.220 | the outcomes
03:01:39.940 | for those
03:01:40.520 | children
03:01:40.960 | I mean
03:01:41.660 | that's
03:01:41.940 | the holy
03:01:42.300 | grail
03:01:42.820 | what I
03:01:44.640 | just said
03:01:45.220 | probably
03:01:45.660 | represents
03:01:46.280 | decades
03:01:46.980 | research
03:01:47.580 | the sooner
03:01:49.320 | we get
03:01:49.580 | started
03:01:49.860 | the better
03:01:50.320 | and some
03:01:51.800 | of it's
03:01:52.080 | already
03:01:52.360 | underway
03:01:52.760 | as I've
03:01:53.160 | mentioned
03:01:53.440 | so it's
03:01:53.960 | not like
03:01:54.260 | we start
03:01:54.740 | from ground
03:01:55.440 | people have
03:01:56.220 | been on
03:01:56.640 | this trail
03:01:57.100 | for a
03:01:57.420 | while
03:01:59.520 | but it
03:02:01.240 | is going
03:02:01.580 | to require
03:02:02.240 | a concerted
03:02:03.620 | effort
03:02:04.000 | it's going
03:02:05.240 | to require
03:02:05.800 | massive
03:02:07.340 | funding
03:02:07.960 | to support
03:02:09.780 | that type
03:02:10.580 | of research
03:02:11.380 | we have a
03:02:13.280 | new administration
03:02:13.980 | that is
03:02:14.740 | talking about
03:02:15.560 | massive
03:02:16.760 | disruption
03:02:17.520 | in the way
03:02:18.360 | things are
03:02:19.080 | they're talking
03:02:21.540 | about massive
03:02:22.140 | changes at
03:02:22.820 | the NIH
03:02:23.260 | I'm really
03:02:25.040 | hoping and
03:02:25.560 | praying that
03:02:25.980 | we're going
03:02:26.240 | to see
03:02:26.640 | that type
03:02:27.380 | of research
03:02:28.140 | as opposed
03:02:29.420 | to the
03:02:30.060 | current
03:02:30.480 | model of
03:02:31.020 | research
03:02:31.420 | which focuses
03:02:32.520 | here's
03:02:33.340 | diagnosis
03:02:34.020 | schizophrenia
03:02:37.020 | hypertension
03:02:38.680 | and what
03:02:39.760 | new pills
03:02:40.760 | can we
03:02:41.080 | develop
03:02:41.480 | to treat
03:02:43.420 | condition
03:02:43.940 | or how
03:02:44.540 | can we
03:02:44.820 | understand
03:02:45.700 | condition
03:02:46.960 | I think
03:02:48.380 | we have
03:02:48.640 | enough
03:02:48.900 | evidence
03:02:49.580 | to be
03:02:51.680 | able to
03:02:51.980 | really
03:02:52.260 | start
03:02:53.280 | effective
03:02:53.680 | to be
03:02:54.200 | able to
03:02:54.520 | really
03:02:55.040 | aggressively
03:02:55.540 | pursue
03:02:56.460 | effective
03:02:56.880 | treatment
03:02:57.840 | prevention
03:02:58.280 | strategies
03:02:59.080 | fantastic
03:03:00.720 | what role
03:03:02.980 | do you
03:03:03.440 | see yourself
03:03:04.420 | in going
03:03:04.900 | forward
03:03:05.360 | I mean
03:03:05.880 | clearly
03:03:06.160 | public
03:03:06.520 | education
03:03:07.060 | about
03:03:07.360 | these
03:03:07.600 | issues
03:03:08.020 | related
03:03:08.620 | metabolic
03:03:09.160 | mitochondrial
03:03:09.720 | health
03:03:12.920 | wonderful
03:03:13.860 | for you
03:03:14.320 | in addition
03:03:14.840 | to all
03:03:15.380 | clinical
03:03:16.320 | everything
03:03:17.040 | you're
03:03:17.180 | doing
03:03:17.640 | you're
03:03:18.340 | clearly
03:03:18.880 | passionate
03:03:19.260 | about
03:03:22.000 | do you
03:03:22.420 | plans
03:03:23.020 | involved
03:03:23.700 | helping
03:03:27.480 | health
03:03:28.580 | human
03:03:28.740 | services
03:03:29.140 | folks
03:03:29.560 | steer
03:03:30.240 | in the
03:03:30.480 | right
03:03:30.620 | direction
03:03:32.040 | happy
03:03:32.980 | serve
03:03:33.780 | consultant
03:03:34.640 | asked
03:03:37.640 | conversations
03:03:39.880 | range
03:03:40.240 | people
03:03:44.020 | happy
03:03:46.640 | think
03:03:47.340 | immediate
03:03:47.960 | future
03:03:48.880 | honestly
03:03:51.920 | focused
03:03:53.480 | these
03:03:53.620 | lines
03:03:54.100 | research
03:03:54.660 | through
03:03:54.980 | McLean
03:03:55.560 | hospital
03:03:56.320 | harvard
03:03:56.540 | medical
03:03:56.840 | school
03:03:58.420 | really
03:03:58.600 | aggressively
03:03:59.120 | working
03:04:00.220 | setting
03:04:02.200 | healthcare
03:04:02.580 | system
03:04:04.860 | practice
03:04:06.260 | start
03:04:06.760 | where
03:04:08.380 | treat
03:04:08.700 | people
03:04:09.460 | these
03:04:10.020 | severe
03:04:11.140 | chronic
03:04:11.780 | mental
03:04:12.300 | health
03:04:12.640 | conditions
03:04:15.040 | started
03:04:16.600 | about
03:04:18.420 | 5,300
03:04:19.600 | people
03:04:20.540 | waiting
03:04:22.280 | can't
03:04:22.600 | treat
03:04:22.780 | 5,300
03:04:23.520 | people
03:04:25.800 | privilege
03:04:28.640 | brilliant
03:04:29.680 | clinicians
03:04:30.520 | reaching
03:04:31.100 | wanting
03:04:33.460 | hoping
03:04:35.820 | practice
03:04:37.680 | world
03:04:38.020 | practice
03:04:38.680 | everything
03:04:40.200 | we've
03:04:40.480 | talked
03:04:40.700 | about
03:04:42.960 | human
03:04:43.300 | beings
03:04:44.260 | demonstrate
03:04:45.840 | really
03:04:47.880 | really
03:04:49.340 | doing
03:04:51.540 | clinician
03:04:53.680 | years
03:04:55.980 | welcome
03:04:56.680 | opportunity
03:04:57.980 | begin
03:04:58.700 | develop
03:04:59.040 | protocols
03:05:00.080 | processes
03:05:02.340 | artificial
03:05:02.860 | intelligence
03:05:04.720 | really
03:05:05.020 | try to
03:05:05.420 | create
03:05:05.780 | algorithms
03:05:14.260 | potential
03:05:15.300 | millions
03:05:17.100 | billions
03:05:18.820 | people
03:05:25.420 | you know
03:05:25.960 | the theory
03:05:26.500 | is great
03:05:27.460 | and I'm
03:05:29.240 | really a
03:05:29.660 | big fan
03:05:30.080 | of the
03:05:30.360 | theory
03:05:31.100 | continues
03:05:31.920 | to line
03:05:33.560 | evidence
03:05:34.080 | since I've
03:05:34.880 | published
03:05:35.320 | the book
03:05:36.080 | evidence
03:05:38.080 | completely
03:05:38.560 | supporting
03:05:39.780 | anything
03:05:40.180 | bolstering
03:05:41.480 | putting
03:05:43.220 | actual
03:05:43.560 | clinical
03:05:43.920 | practice
03:05:46.140 | really
03:05:46.400 | where
03:05:46.780 | rubber
03:05:47.020 | meets
03:05:49.720 | we've
03:05:50.160 | talked
03:05:50.400 | about
03:05:50.580 | there
03:05:51.460 | things
03:05:53.580 | people
03:05:54.680 | suffering
03:05:54.960 | today
03:05:58.440 | probably
03:06:00.440 | not even
03:06:00.740 | probably
03:06:02.060 | excited
03:06:02.400 | about
03:06:03.820 | excited
03:06:04.140 | about
03:06:04.480 | training
03:06:05.060 | other
03:06:05.340 | clinicians
03:06:07.660 | demonstrating
03:06:08.320 | for the
03:06:08.900 | world
03:06:09.720 | really
03:06:10.020 | works
03:06:10.660 | people
03:06:11.460 | better
03:06:12.420 | severe
03:06:12.920 | treatment
03:06:13.520 | resistant
03:06:13.920 | mental
03:06:14.280 | illnesses
03:06:14.800 | fantastic
03:06:16.780 | fantastic
03:06:19.640 | everyone
03:06:20.620 | super
03:06:21.020 | grateful
03:06:24.840 | enthusiasm
03:06:26.600 | clear
03:06:26.860 | devotion
03:06:28.260 | statement
03:06:31.060 | finish
03:06:31.340 | today's
03:06:32.380 | discussion
03:06:33.000 | where
03:06:33.540 | started
03:06:33.880 | which
03:06:34.760 | thank
03:06:35.760 | being
03:06:36.320 | pioneer
03:06:37.280 | clearly
03:06:38.160 | direction
03:06:38.860 | mental
03:06:39.120 | health
03:06:40.560 | bridging
03:06:41.200 | between
03:06:41.500 | mental
03:06:41.820 | health
03:06:42.200 | physical
03:06:42.460 | health
03:06:43.120 | clarifying
03:06:44.840 | today
03:06:46.500 | people
03:06:47.440 | metabolic
03:06:47.780 | health
03:06:48.400 | really
03:06:49.200 | think
03:06:49.320 | about
03:06:49.500 | mitochondria
03:06:51.620 | roles
03:06:52.520 | cells
03:06:53.220 | everywhere
03:06:55.460 | paths
03:06:57.280 | improving
03:06:57.760 | mitochondrial
03:06:58.360 | health
03:06:58.680 | lifestyle
03:06:59.120 | supplement
03:06:59.960 | in some
03:07:00.740 | cases
03:07:01.280 | based
03:07:04.520 | preventative
03:07:06.060 | that we
03:07:06.880 | especially
03:07:07.420 | people
03:07:07.800 | thinking
03:07:08.120 | conceiving
03:07:08.500 | children
03:07:08.860 | to get
03:07:09.260 | their
03:07:09.500 | metabolic
03:07:09.780 | health
03:07:10.160 | right
03:07:11.560 | children
03:07:12.000 | regardless
03:07:15.280 | public
03:07:15.520 | health
03:07:16.060 | I mean
03:07:16.400 | really
03:07:16.960 | yourself
03:07:17.540 | there
03:07:18.340 | willing
03:07:19.500 | embrace
03:07:20.160 | vaccine
03:07:20.840 | question
03:07:22.360 | incredible
03:07:25.440 | sides
03:07:27.480 | at the
03:07:28.480 | staying
03:07:28.720 | really
03:07:29.040 | close
03:07:30.600 | offering
03:07:31.180 | questions
03:07:32.840 | emblematic
03:07:34.320 | everything
03:07:35.520 | Chris
03:07:37.520 | pleasure
03:07:38.020 | honor
03:07:39.140 | again
03:07:41.440 | people
03:07:43.320 | reach
03:07:43.900 | we'll
03:07:44.660 | provide
03:07:45.020 | portals
03:07:46.200 | there's
03:07:46.580 | a lot
03:07:46.900 | outreach
03:07:47.260 | toward
03:07:47.880 | really
03:07:48.320 | appreciate
03:07:48.660 | seeing
03:07:49.260 | social
03:07:49.580 | media
03:07:50.520 | Instagram
03:07:51.520 | really
03:07:51.740 | important
03:07:52.420 | people
03:07:54.320 | what's
03:07:54.620 | lovely
03:07:56.600 | studies
03:07:58.020 | agree
03:07:58.820 | disagree
03:08:00.460 | things
03:08:01.100 | today
03:08:01.400 | you're
03:08:01.940 | always
03:08:03.720 | those
03:08:04.200 | there
03:08:04.820 | address
03:08:05.480 | considerations
03:08:07.160 | people
03:08:07.360 | excited
03:08:08.060 | appropriately
03:08:08.500 | excited
03:08:09.140 | cautious
03:08:09.660 | appropriately
03:08:10.160 | cautious
03:08:11.000 | thanks
03:08:11.960 | everything
03:08:12.240 | you're
03:08:12.440 | doing
03:08:13.720 | again
03:08:14.360 | right
03:08:16.520 | to have
03:08:17.100 | again
03:08:17.700 | because
03:08:18.160 | progress
03:08:18.800 | happening
03:08:19.560 | rapidly
03:08:20.000 | in the
03:08:21.060 | meantime
03:08:21.320 | thanks
03:08:21.820 | for this
03:08:22.080 | incredible
03:08:22.480 | voyage
03:08:23.480 | education
03:08:24.280 | for me
03:08:24.900 | everyone
03:08:25.120 | listening
03:08:25.520 | you're
03:08:25.980 | doing
03:08:26.180 | God's
03:08:26.740 | thank
03:08:27.700 | thank
03:08:28.280 | Andrew
03:08:28.840 | thank
03:08:30.300 | doing
03:08:30.620 | everything
03:08:31.020 | you're
03:08:31.540 | doing
03:08:32.000 | you're
03:08:33.100 | doing
03:08:33.440 | God's
03:08:38.560 | you do
03:08:38.900 | is not
03:08:39.260 | always
03:08:40.960 | trying
03:08:42.480 | actual
03:08:43.280 | practical
03:08:44.100 | protocols
03:08:45.260 | so to
03:08:45.760 | speak
03:08:48.380 | really
03:08:49.040 | important
03:08:49.920 | you're
03:08:50.240 | probably
03:08:50.580 | doing
03:08:51.900 | mental
03:08:52.100 | health
03:08:52.400 | field
03:08:55.820 | don't
03:08:56.360 | struggling
03:08:57.020 | think
03:08:57.360 | who's
03:08:57.600 | doing
03:08:58.400 | mental
03:08:58.580 | health
03:08:58.860 | field
03:09:00.120 | mental
03:09:00.300 | health
03:09:00.940 | millions
03:09:01.640 | people
03:09:01.880 | around
03:09:02.340 | world
03:09:03.720 | right
03:09:05.220 | pressed
03:09:05.720 | think
03:09:06.060 | someone
03:09:07.340 | collective
03:09:07.660 | effort
03:09:08.480 | folks
03:09:09.660 | people
03:09:11.340 | consider
03:09:11.980 | colleague
03:09:13.060 | comrade
03:09:14.940 | for lack
03:09:15.640 | better
03:09:16.080 | we had
03:09:16.420 | Russian
03:09:17.100 | recently
03:09:17.700 | comrade
03:09:18.200 | in that
03:09:19.560 | effort
03:09:20.820 | thanks
03:09:22.260 | think
03:09:24.540 | thanks
03:09:25.120 | those
03:09:25.320 | words
03:09:25.640 | thank
03:09:26.240 | thank
03:09:27.260 | joining
03:09:27.740 | today's
03:09:28.120 | discussion
03:09:28.960 | Chris
03:09:29.240 | Palmer
03:09:30.100 | learn
03:09:30.460 | about
03:09:30.940 | Palmer's
03:09:31.640 | including
03:09:32.340 | research
03:09:33.040 | clinical
03:09:33.340 | practice
03:09:34.580 | absolutely
03:09:35.180 | spectacular
03:09:36.240 | Brain
03:09:36.620 | Energy
03:09:36.960 | please
03:09:38.460 | captions
03:09:39.440 | you're
03:09:39.560 | learning
03:09:40.340 | enjoying
03:09:40.820 | podcast
03:09:41.180 | please
03:09:41.700 | subscribe
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