Juan Carlos Izpisua Belmonte, Altos Labs

00:00:00.520 | - Scientists think they found the Fountain of Youth.

00:00:03.400 | - What I think will become the cover story on magazines

00:00:06.960 | that humans have discovered the Fountain of Youth,

00:00:09.200 | and this will arise from Yamanaka factor-based

00:00:12.240 | cell reprogramming methods.

00:00:14.320 | - It feels like a piece of technology

00:00:15.720 | that's fallen through a wormhole from the future.

00:00:18.280 | - It does sound a little bit like science fiction.

00:00:20.600 | - The $3 billion investment that was just made in Altos Labs,

00:00:23.120 | which is probably one of the biggest seed investments ever.

00:00:26.400 | - He's made seminal contributions

00:00:28.400 | to understanding stem cell reprogramming.

00:00:31.280 | So at this time, it's my pleasure to introduce

00:00:33.840 | our recipient this year, Juan Carlos Espuccia Belmonte.

00:00:38.840 | - Good afternoon.

00:00:49.080 | My name is Juan Carlos Belmonte.

00:00:52.000 | I'm going to start my participation

00:00:55.040 | with a rather provocative question.

00:00:57.920 | which is: can we rejuvenate an organism?

00:01:03.360 | And if so, what is the implication of that response

00:01:09.360 | for human health, for human disease?

00:01:12.240 | So, the book of our lives is given to us when we are born.

00:01:21.040 | our parent passed as the set of instructions,

00:01:24.480 | these millions and millions of letters that constitute our genome.

00:01:30.480 | And by and large, this is a very solid process.

00:01:36.480 | But every now and then, there are mistakes in these letters.

00:01:39.920 | And they may have importance for our life, or may be relevant.

00:01:45.200 | - let me give you an example.

00:01:46.640 | Let me give you an example.

00:01:47.760 | For instance, you change in this case a "C" to a "T".

00:01:53.680 | You are going to have a phenotype that is depicted here.

00:01:59.120 | These kids, they are in the picture between six and ten years old,

00:02:03.760 | but they look much older.

00:02:06.160 | They are really old.

00:02:08.640 | And they are not going to pass their teenage age.

00:02:12.800 | And just because of this small mutation, a "C" into a "T".

00:02:18.080 | Now, fortunately, in the last few years,

00:02:22.000 | we scientists have developed methods by which we can reverse that change.

00:02:29.760 | We can fix that mistake.

00:02:32.160 | And for instance, we have models in the lab.

00:02:35.680 | We have animal models in this case.

00:02:38.240 | It is a mouse where we have created the same mutation.

00:02:43.200 | the "C" into a "T".

00:02:44.400 | And this mouse, a lab mouse lives for about two years.

00:02:48.960 | This mouse will live just for a couple of months, three, four months maximum.

00:02:55.200 | And it will have the same accelerated aging process of the human.

00:02:58.960 | But we can fix this.

00:03:01.280 | We can change this "T" back into a "C" and we get this mouse.

00:03:06.480 | Which has nothing to do with the previous mouse.

00:03:09.840 | It's healthier, lives longer, and is able to regenerate some of their tissues

00:03:16.320 | that before it couldn't do it.

00:03:17.760 | The problem, as I was indicating before, is that

00:03:24.480 | this is a very small percentage of the mistakes that happen in our life.

00:03:33.280 | by and large, this is less than 1% there is mistakes that generate diseases like this.

00:03:39.440 | By and large, we have many other diseases that are not due to a mutation in our genome.

00:03:46.800 | And if we look at this graphic that represents age and the possibility of death,

00:03:56.080 | you can see that after a certain number of years, around 40-45,

00:04:00.800 | the major risk factor for getting any disease is precisely that: years, age.

00:04:09.600 | So, the longer we live, the increased risk to get disease.

00:04:16.560 | And around 40-45, we start to develop all these diseases that you see at the top of the screen.

00:04:22.720 | And they are not related to changes into "C" or "T" or a particular mutation.

00:04:29.920 | So, how does this happen?

00:04:31.360 | How do these diseases appear?

00:04:35.040 | And what can we do about reversing these diseases?

00:04:39.600 | So, let's go down to the cell level.

00:04:44.240 | Here you have two types of cells: a very young cell, a healthy cell,

00:04:50.560 | and an old and unhealthy cell.

00:04:54.240 | The healthy cell is very resilient in the presence of risk factors.

00:05:03.280 | It has a very strong buffer capacity, we call that, that can deal with these stresses.

00:05:11.920 | However, the old and unhealthy cell, in addition to the fact that it has been exposed,

00:05:18.880 | because of time, to more factors, excuse me, it has less buffer capacity.

00:05:25.440 | It's less resilient to these factors that damage the cell.

00:05:30.320 | And the question that I want to present today has to deal with this buffer capacity.

00:05:40.800 | And what is buffer capacity?

00:05:43.200 | Let's see if I can explain this well.

00:05:45.600 | So, with time, as time passes, there are more risk factors.

00:05:52.320 | During normal aging, there is more stress.

00:05:54.640 | And the buffering capacity, the resilience of these cells goes down.

00:05:59.920 | And when these two arrows, these two curves mix, disease appears.

00:06:08.160 | And the question is, can we increase buffer capacity so that then the disease appears later,

00:06:16.800 | or it never appears?

00:06:18.800 | can we increase the cell resilience to deal with the disease that appears with aging?

00:06:25.760 | When we are young, we really don't think about aging.

00:06:29.760 | When we are old, a big percentage of our days is just thinking how bad I feel and what can I do.

00:06:36.560 | So, can we increase this buffer capacity so that the disease doesn't appear,

00:06:41.920 | it takes longer to appear or we can even reverse it.

00:06:44.640 | And how can this be done?

00:06:47.040 | Just pause for a moment.

00:06:52.160 | What is aging?

00:06:53.600 | What makes that cell fragile, unhealthy?

00:06:57.120 | Many things.

00:06:58.800 | Our metabolism changes with age.

00:07:01.200 | Our energy levels drop.

00:07:04.560 | Our mitochondria don't produce that ATP that is needed for the cell to work properly.

00:07:11.600 | Stem cells in our body die.

00:07:14.240 | Many things happen while we age.

00:07:16.000 | But I'd like to pause the idea that among all these things that happen during aging,

00:07:22.400 | there is one very important thing that could help to increase this buffer capacity.

00:07:28.720 | And this has to do with what we call the epigenome.

00:07:32.960 | Epi comes from the Greek above, above our genome, above the instructions that we receive.

00:07:41.280 | And if we look at the cell and the genome, the DNA of any cell, is very big.

00:07:53.680 | It will take approximately six feet if we were to extend it here.

00:07:58.960 | But we need to pack it inside the cell.

00:08:00.960 | And it has a special conformation, bounded by the specific proteins, which, in a very basic way,

00:08:09.760 | we can divide it in a conformation that is open for business, that we call open chromatin,

00:08:16.560 | or close for business, close chromatin.

00:08:19.840 | And just this, changing the conformation of the chromatin, may have a huge effect

00:08:27.680 | in the health of the cell and the organism.

00:08:34.000 | in the time when the disease appears.

00:08:36.800 | And the first and most important experiment to demonstrate this was done by Dr. Sinya Yamanaka,

00:08:44.480 | where what he did was a very simple experiment.

00:08:48.560 | he took four genes, added it to an adult cell, a cell that is fragile, that is unhealthy,

00:08:56.320 | and made that cell an embryonic-like cell again.

00:09:03.440 | And he did this by changing this conformation of the chromatin.

00:09:08.160 | Now, can this help us, this experiment for which he was awarded the Nobel Prize,

00:09:15.920 | can this help us deal with the problem I am trying to convey today?

00:09:20.160 | Reverse disease, bring back time, and make the cell more resilient and healthy again.

00:09:27.040 | So, through a few years of studies, the message is this,

00:09:32.640 | that there is a correlation between the conformation of the chromatin, aging and disease.

00:09:39.280 | When the epigenome, when the chromatin is close, we call this heterochromatin,

00:09:44.800 | the cell is young, is healthy. When the chromatin is open, it leads to

00:09:50.880 | the increase, the loss of buffer capacity, and therefore, disease and aging.

00:09:57.760 | And the question is, can we reverse that?

00:10:01.520 | Can we, this correlation, can we do something to alter the conformation of this chromatin and demonstrate

00:10:08.160 | that just by bringing an open chromatin to a closed chromatin, we can rejuvenate a cell?

00:10:14.640 | And how do we do that? We took advantage of the initial

00:10:22.160 | medical ideas and studies of Sinia Yamanaka, and using again, this mouse model that I indicated before.

00:10:30.800 | This animal that has a mutation, that has a C into a T, that leads to an accelerated aging.

00:10:38.800 | You can see the animal here, it doesn't have hair, it's small, it's not going to live for too long.

00:10:45.440 | And what we did, we took these four factors, the so-called Yamanaka factors, and put it inside this mouse,

00:10:53.440 | this mouse, this old mouse. We're not fixing the mutation. Remember, at the beginning, there is

00:10:59.200 | technologies by which we can fix the mutation. What we're doing here is just altering the chromatin,

00:11:06.240 | the mutation is still there in this mouse. The cause of the problem, that letter is still there,

00:11:11.920 | not fixed. But we're altering the chromatin. And we do this not continuously, we just do short pulses

00:11:20.080 | of the Yamanaka factors. We put just during the weekend, we put these factors, not during the entire

00:11:26.000 | week, to this mouse. And what happens is that we get a very different mouse, a healthy mouse that is able

00:11:33.280 | to live longer. And remember, we have not fixed the mutation. The T is still there.

00:11:41.520 | So, just by this small change in the chromatin, we can rejuvenate a mouse.

00:11:47.440 | And here is just an example of what I'm telling you. We can either, with very precise

00:11:55.520 | tools that we have developed, correct a specific mutation at the top, a C to a T, or without knowing

00:12:05.360 | the mutation, just that we know that this mouse has a problem, we just alter

00:12:11.280 | the status of the chromatin, and we practically get the same phenotype. We get rejuvenation on this

00:12:18.000 | mouse. Either genome correction or epigenome buffering, increasing the capacity, the buffering

00:12:26.080 | capacity of this mouse. So, we have gone from the initial point to a later point where the mouse

00:12:33.200 | mouse will live longer and will have a healthier life. Now, anyone could tell me, "Yes, you are telling

00:12:40.960 | me just about one case, this particular mouse that has this mutation. Does it work for something else,

00:12:48.880 | for other diseases?" And the answer is yes. Let me tell you just one more example and a few others in a summary.

00:12:57.280 | Here, we have another mutation. These mice have a mutation in a gene called leptin,

00:13:03.520 | which makes these mice eat all the time. And as such, they get fat, they change their metabolism,

00:13:12.800 | they get older faster, etc. If we just give a short pulse of these Yamanaka factors, we get this mouse.

00:13:20.000 | mouse. The mouse still keeps eating because it has the mutation. We haven't corrected it. But the mouse

00:13:26.800 | now has less fat in the liver and can respond to glucose like a normal young and healthy mouse.

00:13:35.440 | And if we extend now, and I don't have time to go through this, to many other diseases that we have

00:13:42.640 | tests in the lab, kidney disease, skin disease, liver disease, muscle disease, etc., the same thing happens.

00:13:50.960 | We can bring back this buffer capacity and make the cell younger and the mouse younger.

00:13:58.400 | There is a sentence there that says, "A diseased agnostic approach." When you have a problem,

00:14:07.920 | you have a disease, you go to the doctor and it gives you a medicine. But if you have another

00:14:13.840 | disease, it gives you another medicine. If we have a mouse with a mutation, we try to correct that

00:14:20.320 | mutation. Another mouse with another disease, we correct that mutation. But what I'm telling with

00:14:26.400 | this slide is that independently of the disease, just by this small switch of changing the chromatin,

00:14:35.040 | we can increase the capacity of resilience of this mouse so that the disease takes longer or is even

00:14:44.800 | reversed. I think this is a very profound message that is not very precise. We are not touching the genome,

00:14:54.960 | we are touching the epigenome. But without this precision, we can revert disease. Now, the key question is,

00:15:04.080 | this is great, I told you, can we rejuvenate an organism at the beginning? It seems that based on

00:15:10.640 | this and other experiments, in rodents, in the lab, the answer is yes. We take mice with different

00:15:18.000 | pathologies, we pass them through these short pulses of Yamanaka factors, and they are better. The disease

00:15:26.400 | takes longer to appear to live longer. But even though in science this animal is the one that we know more

00:15:34.880 | about health and disease much more than humans, our interest is healthy people. Would this work in humans?

00:15:45.840 | And this is our mission in ALDOS. Try to, by this cellular rejuvenation programming, increase the buffer capacity of a human cell

00:15:59.040 | so that disease is reversed or can take longer to appear. We have done this in isolated human cells in the petri dish.

00:16:10.400 | But the next step is to move to a human being, an entire organism like the mouse.

00:16:15.760 | And this has to be done so that there is, with all the safety and all the precautions,

00:16:23.680 | so that we do not harm when this experiment is done. These mice are healthy, they are fine,

00:16:29.680 | there is nothing wrong with them, but we need to really be very cautious when touching a human cell.

00:16:38.160 | So, rather than delivering these factors inside, in vivo, of a human being, what if we do it ex vivo?

00:16:49.280 | And here is an example. Organ transplant. We know that organ donation saves thousands and thousands of lives every year in our planet.

00:17:01.360 | But nonetheless, there are many thousands of organs that are discarded because of their quality,

00:17:09.840 | because they are all. The doctor, when the organ comes,

00:17:15.360 | look at the organ and says, "This organ is not good enough, doesn't have enough quality to be

00:17:21.200 | transplanted," and it just gets discarded. What if instead of going directly into a human being,

00:17:28.960 | we try to rejuvenate this organ that is discarded? And see if the doctor now will say, "Now this organ

00:17:36.800 | is ready to be transplanted," whatever conditions and quality required by this doctor. And we are making

00:17:43.840 | progress into this area. You can see here, when we transplanted, in this case it is still in rodents,

00:17:54.160 | an old kidney into a young rat, and we compared this with the transplantation of a young kidney,

00:18:02.640 | the life of the horse is very different. You see these two, the green and the blue lines. So, the blue

00:18:12.880 | line is with no treatment. The green line is after a short pulse of these factors that is given ex vivo to

00:18:22.880 | this organ before it is transplanted, and that leads to an increase in the survival of the horse.

00:18:29.280 | So that's one way to start approaching, of moving this technology that we are developing in the lab in

00:18:36.880 | mice into humans. But at the same time, there is one thing that I would like to stress. It's not that

00:18:48.880 | all the cells of our organism go bad with time, otherwise we will be dead. There are just a few cells, and with

00:18:57.360 | time there are more and more of these fragile, unhealthy cells that don't have enough buffer capacity. And you can see this in this diagram.

00:19:05.840 | The blue dots indicate that with time we have more and more of these non-functional cells.

00:19:13.440 | But what we don't want to touch is what is working. We don't want to deliver these factors to cells that are

00:19:22.080 | healthy and that are functional. How do we deliver these factors just to those cells that are not working, to these

00:19:29.840 | blue cells. So you see here the two situations. In a young tissue you almost don't have any of these

00:19:37.600 | fragile, unhealthy cells. And how can we deliver the factors just in the age situation to the unhealthy

00:19:46.880 | cells, but we don't touch, we don't want to touch the healthy cells. And this is what we have been doing. There is a specific genes and markers that target and identify the unhealthy cells.

00:19:51.280 | And with these markers we can guide our Yamanaka factors just to the unhealthy cell. And we obtain the same phenotype.

00:20:08.880 | phenotype you can see here an increase in life span, just targeting the unhealthy cell. Increasing the buffering capacity

00:20:16.480 | of the unhealthy cell. And the last slide that I want to show you is, for instance, an organ like the skin. If we bring

00:20:25.040 | these factors to the unhealthy cells of the skin, you see phenotypes like this. For instance, an old mouse like us,

00:20:34.320 | with time, will get gray hair. If we just bring the factors to the unhealthy cells of the skin that produce

00:20:45.280 | this deterioration of function, now you see that the gray hair doesn't appear. Or if we do

00:20:54.800 | a wound in the skin of an animal, of a non-animal, and this in us, after a certain age, the wound takes a long time

00:21:06.400 | to close, or even it doesn't close. You can see at the top, the non-treated, in red, there is a wound there

00:21:13.360 | that doesn't heal, while the treated one, even in a very, very old mouse, it just makes a perfect skin. So, summary of what I have

00:21:24.480 | told you today is this, that there is what we call precision medicine, by which we can fix some of

00:21:35.360 | these mutations, errors that our parents transmit into the book of our life. But that's less than one

00:21:43.200 | percent of the diseases. The majority of diseases correlate with age, passing of the time, and they don't have

00:21:52.480 | anything to do with particular mutations. And without touching the genome, without this precision medicine,

00:22:00.080 | just modifying the conformational structure of the chromatin, we can bring a disease and agey

00:22:10.080 | cell into a cell that is more resilient and more functional. And certainly, this type of experiment

00:22:18.000 | the message is that it opens up the question of, can we rejuvenate a human being, and can

00:22:25.600 | we reverse disease in humans? Thank you for your attention.

00:22:28.880 | Juan Carlos, thank you for the presentation. I want to, I don't, I don't know if you can overstate

00:22:45.680 | the significance of the discovery you have made. And it's funny to me how it's not popular,

00:22:54.400 | knowledge at this point, because of the results that you and other scientists have collected,

00:23:02.000 | and the impact it will have to literally restore cellular health and de-age an organism. And

00:23:10.160 | the Yamanaka factors, or four proteins, just for a layman's conversation, there are four proteins. That's

00:23:17.280 | what a factor is, it's a protein that causes a change in the epigenome and unwinds parts of the DNA.

00:23:24.880 | And as a result, new genes get turned on, other genes get turned off, and the cell kind of revitalizes,

00:23:30.160 | it becomes young again. You discovered that you can actually, and they did this all the way, and made the cells go back all the way to being stem cells. But what you discovered was the ability to partially restore youthfulness in the cells through partial reprogramming.

00:23:46.880 | And that's a dose factor, you put a smaller amount of the Yamanaka factors on the cells, what, how do you control

00:23:52.880 | it? And then I want to ask a question about if you put too much, does it then, because I know there's been tests

00:23:59.280 | in mice where you end up with cancer, because then the cells start multiplying too quickly. So maybe you can

00:24:02.800 | tell us a little bit about what it means to do partial reprogramming with the Yamanaka. What does partial mean?

00:24:07.920 | It's a very important question. Thank you. Let's see if I can clarify this. What Dr.

00:24:14.720 | Sinha Yamanaka did is something that no one in science in general could believe, that you can bring

00:24:23.200 | an adult cell to start life again, become an embryo cell, embryo-like cell. And embryonic stem cell can

00:24:35.520 | be whatever. We have more than 250 cell types in our body. Our skin cell is different than our eye cell,

00:24:43.520 | it's different than our brain cell, because different genes are turned on and off in each of those cells.

00:24:48.880 | They have the same DNA, but they have a different epigenome. Different genes are turned on and off.

00:24:52.880 | Perfectly explained. Thank you. So, and what Sinha…

00:24:55.840 | I think it's so important for people to get that, yeah. What Sinha did was just to delete all that

00:25:03.520 | information, the identity of a skin cell, of a heart cell, and bring it back to the very beginning, to the

00:25:11.360 | very first time when we are born, to these types of cells. Now, when he was put in these factors,

00:25:19.440 | it's his factors, the Yamanaka factor, for a long time. Four proteins. Four proteins, puts them on the cell,

00:25:26.320 | this happens. Now, we don't want this. Imagine if we were to put this in the heart.

00:25:33.200 | The key cell in the heart is called cardiomyocyte, and what it does is beat. So, if we remove the

00:25:40.160 | identity of that cell, it's not anymore a cardiomyocyte, and go back to an embryonic cell,

00:25:47.600 | the heart is not going to beat. If we do that in the liver, the hepatocyte is not going to do its

00:25:56.000 | function. So, doing this, going back in time to really the earliest stages,

00:26:02.560 | it will not do good to our bodies. And then cancer arises.

00:26:10.000 | And then if you bring and lose the identity of a particular cell, then you are open for that cell

00:26:16.320 | to become something else, like a cancer cell, or a skin cell is transformed into a hepatocyte.

00:26:23.360 | Many wrong things could happen. We want to maintain the identity of these cells.

00:26:28.400 | And the small switch here that we did, as you are asking me, is rather than having

00:26:35.120 | the factors for a long time, we just gave a short pulse. What that it's doing is altering

00:26:44.480 | the chromatin, but for a very short time, it's a small shock, and then the chromatin gets close

00:26:50.560 | and maintains its identity. The cardiomyocyte is a cardiomyocyte, has not gone back to a different

00:26:59.680 | cell type, but its function is much better. So, the idea is just a short pulse of these proteins,

00:27:07.760 | which by the way, these are the proteins that Sinia Yamanaka discovered, but I'm convinced that there will

00:27:13.680 | be many other proteins in our organism. That's the next thing I wanted to ask you.

00:27:18.720 | So, it sounds like the search is on in various startups at Altos Labs for other proteins that can

00:27:25.440 | do this, but perhaps not proteins, but smaller molecules, peptides or small molecules, where

00:27:33.200 | theoretically you could take a pill, and it would do the same thing. Is that a reality?

00:27:41.120 | So, I think that one of the biggest inventions that we humans have made is the place we are here today,

00:27:51.440 | the university. The curiosity, the knowledge to advance in things that we don't understand,

00:27:59.600 | and discovering what other proteins, what other factors could do the same thing, belongs to that

00:28:09.280 | domain of the curiosity and trying to increase our knowledge. But many times, we need to try to apply

00:28:16.480 | this knowledge. And you're asking me, how are you going to deliver whatever factors you discover

00:28:23.440 | into a human being? You can do this in the lab with many other ways, but ideally, you would like to just

00:28:30.080 | put that into a pill. And so, here is where the other important thing comes, and that's industry.

00:28:40.480 | By mixing the best of academia, this curiosity, this trying to understand how we can close and open the

00:28:49.840 | chromatin with many other factors, with the experience, the drive, and the focus of industry, can we answer

00:28:58.640 | the question that you are asking? Can we put these factors or any other factors that alter the chromatin

00:29:06.320 | into a pill? This is precisely our endeavor, try to make this safe and available to the human being.

00:29:14.640 | Can I ask you a more, maybe a more basic question? If this buffer capacity is essentially the insulation

00:29:25.120 | that we are born with that then decays, so young cell, good buffer capacity, old cell, no buffer capacity,

00:29:32.480 | in very simple terms, based on your slide. What is the scientific community's understanding

00:29:39.520 | about how to minimize the rate of change and the decay by things that people in this room can control?

00:29:48.240 | Where we live, the things that we're exposed to, our food supply. Do any of those things,

00:29:54.480 | to your understanding, have an impact that's measurable and achievable by us today while we wait for

00:30:01.440 | Altos and others to deliver a more chemical manipulation of this?

00:30:05.280 | Huge impact. Incredible question and really huge impact. Just think of exercise. We have compared

00:30:12.640 | what are the changes in the cell between exercise and the short pulses of Yamanaka factors. And you couldn't

00:30:21.920 | believe the similarities in the changes in gene expression that exercise does and how overlap

00:30:31.040 | these changes happen when we do the Yamanaka, the short pulses of Yamanaka factors. So things like

00:30:39.120 | exercise could increase. But exercise, what kind of exercise? How much? How often?

00:30:44.320 | Well, you want to know the answer too? What? Don't laugh. Actually, you know what? Don't answer

00:30:48.400 | the question. You can tell us afterwards. They don't care. No, it's fine.

00:30:51.280 | Exercise. Things that your mother will tell you. It less exercise. When I say stress, I mean it. Stress

00:31:04.080 | to the cell that is going to alter the epigenome. So until we really understand how these changes in chromatin

00:31:12.560 | can happen. All these things that we do sometimes in our lives really improve the buffer capacity.

00:31:19.840 | And has that been published or studied in a way that's digestible

00:31:23.120 | for layman's? Meaning like whether it's intermittent fasting or whether it's the quantity of food or

00:31:29.200 | whether it's, you know, specific forms of exercise over another. Has that been well studied enough that

00:31:35.040 | we can understand? At a minimum, we can even just link to all of this so that you guys can get this

00:31:39.040 | information. But is it out there? This is, I would say, the last 10 years have been an incredible

00:31:47.120 | jump into this study. So far, most of them have been done in animal models in the lab. And we are starting

00:31:57.840 | to translate these to humans. For instance, I just finished. It's not, I think I can say that. Tomorrow,

00:32:08.080 | there will be just one of these molecules that diabetic people take, metformin, to lower down their

00:32:15.360 | glucose. They can reprogram the cells so that all the cognitive functions are not just rodents, and

00:32:23.360 | this is the key thing. But of monkeys, which are 99 percent, their book of life is very 99,9 percent

00:32:32.080 | similar to us. Right. They can reprogram these cells and the cognitive abilities of monkeys and their life

00:32:39.520 | span is increased. So this is coming. This is not something that is just this small mouse in the lab

00:32:48.640 | where we know a lot about their health and disease. But I feel the next decade, probably many of these

00:32:56.320 | discoveries, with the caveat that it's a mouse, and a mouse is not a human, might be translated to human.

00:33:02.880 | You put a slide up there where you had, obviously, a whole bunch of target markets. Some were autoimmune

00:33:08.640 | diseases, some were cancers, some were more just general aging.

00:33:16.320 | How do you decide or how do you figure out where there is the most real application today? Because

00:33:25.920 | part of it is there's a, obviously, market issue of making sure you continue to have capital and prove

00:33:31.520 | scientific value. But part of it is there may be some small wins today in rare diseases or something

00:33:38.560 | that could allow you to commercialize this faster. So how do you think about which problems should come

00:33:45.040 | first? Good question. I put up there the ex vivo example with the organ transplant.

00:33:55.920 | This is probably one of the most cautious and safest approach, where, say, acute liver disease. There's

00:34:07.120 | nothing about this. You are going to die in three days. And if an organ is not there, you can do nothing.

00:34:13.440 | So acute and deadly diseases that could happen could be an initial target for this type of approaches.

00:34:24.240 | But again, I want to say that even though we are trying to move as fast as we can into humans, and we are doing this

00:34:37.040 | experimenting human cells in the petri dish. A mouse is not human. And this will need time to be replicated in a human being.

00:34:45.520 | Before we wrap, can we just talk about how Altos Labs is set up? It's probably got more funding than any other private company in recent history.

00:34:55.520 | It's really incredible. Maybe you can tell us how you've organized this work, this mission.

00:35:04.000 | Again, it's reflecting on the importance that we know so little about the fundamental science of what is behind this big question.

00:35:15.600 | It's a question that we human beings have tried to approach since ever. How can we deal with

00:35:22.800 | disease, with aging? So there is so many things we don't know. Basic science is needed.

00:35:29.440 | So as a startup, you raised billions of dollars to do a lot of core research as well as product development.

00:35:35.680 | And at the same time, in parallel, with all the safety approaches that we can think of, and we were talking

00:35:43.680 | about one possible example, perhaps without knowing every detail of how it works, provided it is safe and

00:35:53.360 | could have a positive effect, trying to move this forward. So it's a combination of what we like to call

00:36:01.200 | the base of basic science and the base of industry.

00:36:04.720 | Yeah. Well, look, I mean, I don't think there's a human on earth that will

00:36:07.520 | not benefit and does not appreciate the effort. And obviously, everyone hopes that you guys are

00:36:14.960 | extremely successful in both the scientific and commercial pursuits. It seems to me like,

00:36:22.160 | as you guys have your breakthroughs, which I think you're going to have given the backing and the people

00:36:27.840 | that are involved. Over time, partial cell reprogramming could be one of the most profoundly impactful

00:36:35.520 | technologies that humans have ever discovered or invented. So we appreciate the work that you do.

00:36:41.200 | And thank you for being here with us. Thank you for being here with us.

Juan Carlos Izpisua Belmonte, Altos Labs | All-In Summit 2024

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