AI Just Compressed 160 Years of Aging Research — Here's What They Found | Dr. David Sinclair
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Dr. David Sinclair explains how artificial intelligence has revolutionized aging research, compressing a century of progress into just four years by screening approximately 8 billion virtual chemicals to find compounds that reverse cellular age. Previously, reversing aging in animals required introducing genes like Oct4, Sox2, and Klf4 (OSK), which was prohibitively expensive for human application; AI now enables the search for small molecules or pills that can mimic these gene therapies without genetic modification. The technology relies on understanding protein structures elucidated by DeepMind's Demis Hassabis five years ago, allowing researchers to virtually dock billions of molecules against proteins based on shape and charge interactions. This approach has allowed Sinclair’s team at Harvard to identify a single molecule capable of doing the work of three previous chemicals, significantly reducing costs from hundreds of millions of dollars to potentially just one pill or topical application for humans. The core theory driving this research is that aging is fundamentally an information integrity problem rather than simple wear and tear; cells possess backup copies of their original youthful programming but lose access over time due to epigenetic changes like DNA methylation, which acts as flags on histone proteins (the "tennis balls") that silence genes. Sinclair’s lab has successfully demonstrated the ability to drive aging forward or backward in mice and monkeys by restoring this information integrity, even regrowing crushed optic nerves—a feat previously thought impossible for non-dividing cells. While some of their findings regarding a backup copy mechanism are still being refined, they have published evidence in *Nature* showing that resetting age markers works across species, raising confidence levels significantly after successful trials on primates where specific biological membranes did not hinder the therapy's effectiveness. Beyond reversing aging, Sinclair highlights immediate applications for treating diseases like infertility and Alzheimer’s through similar mechanisms of information restoration. For instance, their research has shown that boosting NAD+ levels can rejuvenate eggs in old mice within a month, with human studies suggesting IV treatments improve egg quality three-fold. They are also growing 3D uteri from scratch to test fertility reversal after menopause, though regulatory hurdles and safety testing mean these therapies will likely take five years or more for FDA approval once the molecules are identified by AI. Regarding Alzheimer’s, while mouse models with APOE4 mutations do not develop amyloid plaques like humans do, Sinclair remains optimistic that reversing cellular age could clear existing plaque in other tissues, such as the retina where lipofuscin deposits disappeared after de-aging experiments, suggesting a similar rebuilding of tissue health is possible for brain diseases. To support these advanced therapies and maintain current cognitive function, Sinclair emphasizes lifestyle factors including diet, sleep, and stress management alongside emerging supplements like ketones (specifically beta-hydroxybutyrate). He notes that while ketones provide immediate fuel to the brain by crossing the blood-brain barrier, they also modify DNA packaging structures long-term when consumed consistently. His personal protocol involves avoiding sugar, which attaches to proteins causing dysfunction and inflammation, and utilizing intermittent fasting or exogenous ketone supplements like 1,3-butanediol derived from fat breakdown products. He advocates for regular full-body MRIs and blood tests as baseline monitoring tools rather than diagnostic replacements, warning against the dangers of sedentary behavior ("sitting is the new smoking"), excessive alcohol consumption which shrinks brain size, and chronic stress that accelerates cellular aging in high-achievers. Ultimately, Sinclair frames this era as a pivotal moment where science advances rapidly through trial and error, urging people to embrace data-driven health strategies despite initial uncertainties or false positives from testing. He encourages individuals to view life with less urgency by treating it like a game, utilizing techniques like box breathing to lower heart rates during the day, and ensuring deep sleep to clear out toxic proteins in the brain. While acknowledging that regulations currently prevent immediate clinical trials for nerve regeneration or fertility reversal, he believes these barriers are temporary safety measures rather than technological limitations. The goal is not just extending life but compressing it by restoring cells to a youthful state where they can rebuild themselves properly, potentially allowing people like his neighbor who developed prostate cancer to thrive on keto diets and metformin while avoiding the depressive side effects of hormone therapies used in traditional oncology treatments.
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You are at the intersection of my
absolute fascination with health, which
is where it's intersecting right now
with AI. I've heard you say that AI is
making things possible in human
longevity that previously weren't. So,
what specifically has AI put on the
table that wasn't possible before?
Well, so the
the big thing is the speed that we can
do things. Um
we currently have technology that can
reverse aging in animals and we'll find
out this year if it works in people.
But it's it's an expensive technology.
It uses genes and we have to introduce
genes into the body or the eye in this
case.
Um that that's potentially hundreds of
thousands of dollars to do that. So,
what we wanted to do in my lab was
democratize this technology. So, how do
you do that? Well, AI is helping. We've
now screened probably about 8 billion
virtual chemicals for one that will
reverse aging. So, then instead of
introducing genes, which is expensive,
we could take a pill or rub it on our
hair or our skin.
And I asked one of the AI uh
sites, how long do you think this would
have taken
uh in a normal world uh pre-AI? And it
estimated it would have uh taken about
160 years for my team to have finished
that experiment. And the cost would have
been in the many billions of dollars.
>> Why is that? Is AI just Is Is it
crunching numbers, pattern recognition?
What is it that makes AI able to shorten
the timeline?
Yeah, well, a big one was we we need to
thank uh Demis Hassabis for his uh and
his team, of course, uh for elucidating
the structure of
all of the proteins in the body. We
didn't have that until uh what was about
four or five years ago.
And now that we have those structures of
those proteins, we can virtually dock
billions of molecules into each of one
of the each of those proteins and find
ones that modulate those proteins either
>> Is this based on shape or
>> Yeah, mostly and charge.
So, we we know the behavior of atoms and
small molecules and now we know proteins
and proteins are vibrating, so it's a
little complicated.
>> we know, so one of the things I want to
know about AI, is AI getting to the
point where it understands the
fundamental rules that govern biology or
is it just learning all of the patterns
in the literature?
Oh, it's it's more than in the
literature. It's understanding
the patterns in biology and how
to extrapolate from atoms to molecules
to proteins. That's a big jump. We
couldn't do that
uh more than five years ago.
And now AI is really using that.
I mean, it it's partly AI, it's partly
brute force. Uh just uh mathematics.
Uh but on top of that
you can add now intelligent agents that
can take the results from those screens,
as we call them.
And
we typically get hundreds of thousands
of hits, as they're called, And the hit
is this shape matches this shape and
allows the chemical reaction to
transpire. Exactly. And we In this case,
what we're doing is
is virtually impossible uh at least
five years ago it was impossible. And
that is that we're trying to find
one chemical that does the work of three
that we currently have. So,
when we reverse aging in a mouse, we
give it a cocktail uh down its throat of
three chemicals.
And in drug development, finding one
better chemical can cost hundreds of
millions of dollars and years of work.
And I'm asking my team and and our
collaborators, find one molecule that
does what those three do and even
better.
And then once you found those hundreds
of thousands,
which ones are most likely to work? Cuz
in in the lab, it's not that easy and
it's very expensive to order and
synthesize thousands and
especially hundreds of thousands of
molecules. Order meaning online? Like I
need to get some of these molecules in
the lab so I can get the mouse to eat
it.
Well, we don't test it on a mouse
initially. That would be prohibitively
expensive. What do you test it on?
Uh cells. And that's also where AI comes
in. We've got an AI system we developed.
It's machine learning um
with a layer of AI that can look at
cells from humans that we grow in the
lab. And we paint them, so they've got
colors and so we can see different
shapes and things that are happening
inside the cells live
or we kill them and stain them.
And then the visual we use visualization
to say, is that cell from a 92-year-old
going back to look more like the
20-year-old cells from a 20-year-old?
And we've been working for about three
and a half, four years on that. Did you
guys have to train your own model or
>> we absolutely did. So, we got the cells
from these people who are young and old.
Yeah, and we trained the model and it
took a long time to get that right.
>> was just like, this cell young, this
cell old, this cell young, this cell
old. And then it gets to the point where
it's like, you don't have to tell it
anything, it just looks at it, it knows
the patterns and it says, "Ah, that's an
old cell, young cell, whatever." Yeah.
Fascinating. Okay, how much so when
people talk about um large language
models, they're talking about billions
of parameters. How many cells did you
guys have to feed it in order to get it
to be able to discern a cell?
Uh
we looked at millions um
but these days we can actually train
very quickly. The the models have gotten
better at at learning.
Who's doing the underlying models?
Uh my lab at Harvard.
>> You guys are starting from scratch.
Damn. That's why it took a few years,
but we're there. We're there now. So, my
team used to be just biologists who
wrangled a yeast cell and now a mouse,
but um I've had to build up my team with
uh real uh bioinformatics and AI
expertise. Okay, you just gave me the
chills.
Uh so, here's the thing I'm trying to
get people to understand that we're
living through the weirdest moment in
human history ever and that when we
think about the direction of travel and
I'll press you on timelines, but I know
they're going to be wrong, don't worry
about that. I just want people to
understand that things are moving faster
than they realize. Um I did not realize
that individual labs were able to train
this from the ground up, which uh is
utterly fascinating. But okay, so I'm
going to lay out, so I've done a bunch
of research on you, obviously. Uh
I'm going to lay out what I think are
the presuppositions that will make this
interview make sense to people. I want
them to understand the perceived
direction of travel as of today. Of
course, it's going to be wrong in
fullness of time. I understand that, I'm
sure you understand that. But it gives
people a direction of travel. So, I'll
give you what I think you're saying. If
any of this is wrong, let's correct it
now so that as we go through the
interview, people can understand what
you're actually trying to achieve.
Okay, so this is me trying to channel
what I think you're saying in a very
simple, direct
uh way. So, biology abides by a set of
rules,
which means that AI is going to be able
to understand it. So, like the laws of
physics, we may not know what they are,
but there are rules. Those rules are
ultimately going to be knowable. So,
same thing with biology.
Uh AI is ridiculously good at
identifying the patterns inherent to
these rules, giving AI predictive powers
over biology.
So, uh if you fold a protein this way,
then it will do this.
Okay? Uh next is aging is a disease
caused by information degradation over
time.
But
cells store the original healthy
information in a kind of backup.
So far, so good? Yes, uh
with a with a
little footnote, which is
that's the theory that my lab works on
that we came up with.
It's not universally agreed upon that
there that it there there is a backup
copy, but it has to be there cuz we use
it every day to achieve what we do in
the lab. Okay. Uh so, that one may be a
little bit controversial, but this is
the point of science is we're going to
find out. Okay.
So, next, any disease tied to a
breakdown in information integrity,
theoretically, can be effectively
treated
if you can get the cell to start reading
this
That's correct.
>> Okay. Therefore, AI is going to
dramatically accelerate the effective
treatment of many, if not all,
information-related diseases, including
aging.
Um I would say that's as close to a fact
as we could get right now. Th- This is
the the presuppositions that you're
operating on. So, presumably, in time
some of this will end up being true,
some of this will need to be modified,
whatever. But these are the things that
give you the courage and momentum to go
down this path.
Yes, and and it
even if some of it isn't 100% true,
we're still going to achieve the goal
cuz we can do it. We're just trying to
figure out how it how the heck it's
working cuz we're getting results that
are nearly unbelievable. And we have to
figure out, how's that possible? So,
what the nuances will argue probably for
the next 50 years, but it doesn't change
the fact that we're doing it. Yeah, that
makes sense to me. I have a
I'm haunted by and I can't remember if
it was Max Planck who said it, but
whoever said the quote that science
advances not one insight at a time, but
one funeral at a time. That winds me up.
It drives me absolutely crazy that
people cannot go, "Well, there's
obviously something I don't understand.
I'll figure it out." This is the whole
point of the scientific method. In
business, I literally teach this. I call
it the physics of progress. The physics
of progress is, make your best guess,
you're going to be wrong to some degree,
run the experiments, figure out in what
way you are wrong, adapt, get a little
bit better, and then you just run that
cycle over and over and over. So, I
presume that's what you're doing as you
march down this path. Yes? Yes, with the
scientific method, which is
fail, fail, fail,
and then something works. Okay. So, we
know what we believe and what we're
pursuing. It's the things that I just
ran through. What would be the
falsification? How would we know if
we're like, oh, we just proved that this
doesn't work?
Well, we we've been doing those
experiments trying to disprove our
theory. That's what we do as scientists.
Very What's the what would be the kill
shot though? There are two main tests.
One is if we
degrade the information in the cell
in an animal for instance or
take a mouse
and the mouse gets sick and dies, but it
doesn't get old. Then that's not aging.
That's just sick.
But we did that experiment and the mouse
got old.
Mhm. And we published in 2023
that information loss is a cause of
aging in mammals, in us.
Then the next test is can you
reverse that process? Can you bring back
the information like my hypothesis says
we should be able to do
even if we don't know where it's stored.
Um and in 2020 on the cover of Nature
magazine, which is as as good as you can
get as a scientist, we published that we
could do that, that we could get back
that information somehow using three
genes that embryos usually use to reset
their own age from their parents' age.
And so those if they had failed, if we
couldn't reset age, if we couldn't age a
mouse forwards,
uh then okay, we'll move on. We'll do
something else. But the fact is now time
that in my lab we can drive aging in
either direction at will using the
technologies that we've developed and
it's only going to get better.
Okay, in mice? In mice and we've done it
in monkeys. Um we've cured As
effectively or is that more complicated?
Um
it's actually not that not more
complicated uh in a monkey. If you want
to get into the details, it's there's a
there's a membrane in the monkey that
the mouse doesn't have that might have
inhibited the genes getting into the
back of the eye, the retina. But it
worked fine and the monkeys they got
their electrical signals back in their
optic nerve and we believe that that is
good enough signal to go into humans to
treat blindness, couple of diseases in
humans. And if all goes well, we'll get
ready to start the trial. We'll get back
to the show in a second, but first let
me brag about someone on my team.
G, one of our guys here at Impact
Theory, just ran his first marathon. Was
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>> or visit your local Target to get your
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back to the show. Okay, uh so membrane
was a concern, but just didn't end up in
practice being a problem.
Right. Um but the fact that it worked in
monkeys where a lot of things in mice
don't translate into primates was a big
deal. And so that raised my confidence
level from 50% to about 80-90%.
>> Okay, but the big question mark right
now is you're reaching into a black box
that we don't quite understand why it's
working
because you're you know the effect is
that using those three chemicals? The
genes? Genes?
>> Well, we we got we've got three genes
and three chemicals. Okay. Um
I don't know why it's three, but that's
just what turned out. Sure. The three
genes have a name. Um Oct4, Sox2, Klf4,
OSK we call them.
And they were
we can talk about how they were found,
but essentially those three genes now we
mimic those with three chemicals. And
hopefully, as we discussed, get down to
one pill that we can take. Okay, we'll
get to the pill in a second, but
uh so
we administer the genes and the
chemicals which we don't have to get too
specific. I think people will uh not be
able to track, but we've got those
things. We get them into the system
somehow, some way, whether it's
injecting, pill later, whatever,
whatever, but we get them into the
system where they need to be.
>> Yep.
But we don't know exactly
how we're then able to get the cell to
de-age. I don't know if we're
comfortable with that word. But we know
that it happens. And so your best guess
is that there is somewhere in there the
storage of the youthful, healthy cell,
like a backup. Mhm. And that is somehow
getting the cell to reread off of that
versus the whoo, I might be jumping
ahead here, but the methylated cell
that's sort of gotten the scratches on
the CD of the DNA, if you will. Right.
Over time, which is causing it to
again, I worry about getting too far
ahead, but I'm going to say it anyway,
the cells begin to dedifferentiate. So
an eye cell stops being just an eye
cell, maybe it's a little bit of a skin
cell or a brain cell, whatever. And so
it starts getting confused.
>> Yeah.
Uh
How did we do so far?
Uh brilliantly. Um yeah, I couldn't have
said it better myself.
>> You can and have, but that's very
generous.
Uh okay, but we now, at least hopefully
people following along at home,
understand what we're trying to do when
we say that we want to take this we want
to take a view of aging that it is an
information integrity problem. That
there is something akin to a backup copy
of what the cell should look like. But
aging is basically, oh, we stopped
checking the original work and we just
start going off of like the repaired
house, if you will. And it's like, well,
the repair starts to get weird unto
itself. And so now it's we're not
replicating properly. Okay, you guys
have a mechanism to somehow, some way
get it to build as if it were a young
cell again.
Well, build isn't the right word. It's
to read the right genes at the right
time.
>> you say build isn't the right word?
Well, when you reinstall software, I
guess you could call that a build, but I
don't mean it's not physically building.
>> is being built, which is why I think of
it as building. Oh, well,
you're you're putting together two
theories. My theory is that the cell and
aging is information and the old theory
is that the cells just break down, wear
out. And so you're thinking rebuilding
that repair, right? Restore and so
>> Interesting. The way I'm thinking of it,
which is probably um messy because I've
not thought about it like you have, uh
goes something like this.
I I'm not playing a song. I'm building a
house.
And so the cell is physical. So when the
DNA gets
uh we're going to have to explain
methylation.
Um do you want to give people a quick
primer on exactly what is breaking down?
Like what methylation is? The tight
winding, all that.
>> Yeah. Uh and then we can get back to why
I say building.
Sure. And I I think where you're going
is
that when we restore the information,
the cell can now rebuild itself in a
youthful way.
>> when it builds the next one, will build
it better and it will be a truly
differentiated cell and a truly
differentiated eye cell.
>> the health and the youth of nerve cells
in the eye and elsewhere that don't
divide. The cell itself gets healthy.
Doesn't need to
even grow. It can just reinstall
the software. Then it makes new
proteins, makes new lipids, makes new
uh come out
>> were cells that didn't divide. So there
are cells that don't divide, full stop.
Oh yeah, your heart, your brain.
Mostly that's the same cells you had
when you were a teenager.
>> wild. Okay, didn't know that. Thank you.
Yeah. Okay, so sorry. Uh explain to
people methylation just real fast. Yep.
All right, so that we've got 6 ft of DNA
in our cells. Every cell gets wrapped
up. Um and there are 20,000 genes, but
not every gene gets turned on in every
cell.
The cell wouldn't function. So we need a
certain set, let's say 10,000 nerves
nerve genes and then a different set for
skins skin genes. So it's like a piano.
You got lots of keys. Every piano has
the same set of keys, but how you play
them makes the difference to the music.
The cell works the same way. Same genes,
play them differently, you get different
cell types, you get a different
>> What is the play just to not be analogy?
Is it um the creation of proteins?
Mostly. Mostly. Not all genes make
proteins. Some of them make other things
like RNA.
Um but yes, mostly it's we're talking
about those proteins that become enzymes
that do the work of living and
repairing. Okay, so we are even in a
cell that isn't dividing. So I was wrong
about necessarily what is being built.
But the thing that we're fixing is the
building mechanism itself. So we're
building
enzymes, which by the I had to look all
this stuff up.
Uh enzymes like do a thing. They like
move around. They're machines, for sure.
They're really super interesting
machines. They all there's tens of
thousands different ones. Yeah, and they
do cool stuff. It's so wild.
>> Including reading the genes themselves.
So the DNA is a is a string of
chemicals, right? And
the cell has to open up the DNA strand.
It's double-stranded. It's a helix, like
a think of it like a
um a spiral staircase. It looks like
that. But to read it, you have to open
up the stairs. Each stair splits in half
and the cell can read that half of the
of the stair. And a gene is about a
thousand or more of those steps. It'll
read that and it and the
a set of three of those steps
determines which amino acid goes next in
the protein. There's a what's called a
start set start codon
and it always starts with the amino
uh methionine. So, every protein has a
methionine almost every protein has a
methionine. But, what comes next is
dependent on those three steps in the
rung of that staircase. Or, in this
case, the letters on the DNA ATC or G.
Now, that's a gene, right? A thousand of
those steps in that chemical. And, there
are 20,000 sets of those that are all
encoding proteins at the amino acid
level.
That's your blueprint.
But, the problem with aging is
the cell forgets which genes to read. It
actually turns off some genes and for
the most part turns on other genes and
now instead of having skin genes turned
on it's some skin genes and some nerve
cell genes and kidney genes start to
look more like liver
genes that are coming on. And, that
inability to read the right music of the
cell
I think is the major reason why we get
sick and get old.
And, that that's reversible. These
methyls are little chemicals that get
attached to the rungs of the staircase
the the steps.
And, if you have lots of them
on the steps the cell doesn't read
the gene anymore. Shuts it down and you
don't make protein. So, that's why a
nerve cell isn't turning on skin cells
genes because they've got a lot of these
methyl chemicals on the ladder uh on the
steps. They basically say to stop
reading or only read this. Yeah, don't
read this one. Go and read the one you
need to go read. But, those methyls
including more complicated structures
larger structures
um are what determines when we're
developing in an embryo
go over here and make some skin, but go
over here in the skull and make some
more brain cells.
Okay, and the methylation has to be
redone every time a cell divides or
takes damage?
Yes, um every time a cell divides you
should be getting an identical
methylation pattern Mhm. between
daughter and the parent cell.
Uh and there are copying mechanisms we
understand how that works.
Uh
it changes during development of course
cuz we're starting from one cell that
has to become hundreds of different
types. The problem is
as we get older
through things that we believe are uh
largely due to cell damage and stress in
the cell
those chemicals on the ladder on the
stairs they get misplaced. They get
taken off where they shouldn't be and
put on where they shouldn't be. Mhm.
And, now the cell doesn't know what to
do. It's reading the wrong music and uh
it's a complete disaster. We get gray
hair, we get wrinkled skin, we get
disease, we die. Do you have a
hypothesis as to what is making the
methylation be imperfectly um
replicated? We do. Um and the
the history's not well known. Um
when I came to the United States you
probably noticed I don't have a strong
American accent. Not yet. Um
I went to MIT and the goal was to figure
out why the yeast cells that make things
like beer
Vegemite uh
which I really like. Tom, I'm going to
get you some.
The the uh the yeast cells they're
microscopic, but they have chromosomes
just like we do. And, so I I figured if
we if we can't figure it out for yeast
cells we'll never figure it out for
humans.
So, for 4 years I worked under the
tutelage of a professor who
deserves a lot of credit, Lenny
Guarente.
And, we worked together he and I and a a
team.
And, we put out a paper he and I just on
on my first big paper in my life
um
the cause of aging in yeast cells.
And, that was the blueprint
excuse the pun for the rest of my career
including the information theory of
aging which we're talking about now.
And, in that I said that what's largely
changing
these patterns of gene expression
what we just
called the process of aging is that
proteins that should be
turning genes on and off we call them
regulators protein regulators of genes.
They get distracted by doing other
things.
And, there's one set of enzymes and
proteins that I've worked on my whole
career that came from these studies
called sirtuins
um based on the gene called Sir2
in yeast.
Sirtuins they actually go to the DNA
and they tell the cell
shut this gene off. They they see the
methyls. They see those chemicals. And,
those chemicals are really simple by the
way. They're just a hydro uh carbon with
three hydrogens. These methyls are
recognized by the sirtuins. They And,
these proteins go in and help shut off
the gene and stop the cell from
accidentally reading it. They bundle it
up. They actually bundle up the DNA like
a little package. Mhm. Um
versus a big loop of open DNA that gets
read. So, it's a bundling sirtuin.
And, there are a few breakthroughs. One
was that uh the sirtuins get distracted
and one of the major distractions that
they have is broken chromosomes. They
hate broken chromosomes. Yeast cells and
our cells
they can die if they don't repair a
broken chromosome. Mhm. Or, in our case
you get you can get cancer. So, a cell
panics when there's a even one break on
a chromosome. And, it often happens when
cells are dividing and they're trying to
separate the chromosomes. They get
caught, tangled up, break. Now, you're
screwed if you don't fix it. So, the
sirtuins have an have two roles. One is
to control these methyl patterns and
genes. But, they also go repair DNA.
And, they'll prioritize repairing the
DNA.
>> They do. Otherwise, there's no cell.
Okay, and so if you're doing something
that breaks your DNA frequently you're
going to age fast.
Presumably cuz it's going to be so
distracted repairing that that it's not
doing its job with the methylation.
Yes, and remember how I said there was a
test of the theory which was if we cause
aging Mhm. do we get an old mouse? So,
you just go up their DNA basically
to cause the sirtuins to run over to
have to fix it. Well, we did I wouldn't
use the word F.
Because we were very precise. We were
surgical about it.
We we found an enzyme that is in a slime
mold found in the forests around here.
And, there turns out there's an there's
an enzyme that cuts DNA rarely in mouse
and human cells. Mhm. Um Yeah. a dozen
or so sites maybe couple of dozen. But,
not thousands. And, cuz you'd kill the
mouse. So, we surgically
uh inserted
that slime mold DNA into the mouse
itself
at the stem cell stage and then we turn
that stem cell into a mouse which is
standard procedure for students these
days in my lab. Damn.
And, uh that mouse now we could turn on
this cutting enzyme from the slime mold
and surgically create a few of these
broken chromosomes.
Uh not a lot not enough to kill the
mouse, but it just enough to distract
the sirtuins from their normal job make
the cells panic
and see what would happen. And, we did
that for 3 weeks in these young mice
and nothing happened. It's like oh
goodness the the experiment's not going
to work. Nothing happened.
But, then I thought you know when you
get an X-ray you get a lot of broken
DNA, but you don't feel it. So, let's
just wait to see what happens.
And, I went to Australia uh
and this was the year 2012.
And, I got a photo on my old iPhone.
And, it was a photo of a sick mouse and
the text was should we kill the mouse
cuz it's looking really sick.
And, I said tell me which is this mouse.
They said oh that's that's the one we
treated with the slime mold cutting
enzyme. Mhm.
And, I said that's that's not a sick
mouse.
That's an old mouse right there.
So, that was the first evidence that by
distracting sirtuins to broken
chromosomes
it leads to an acceleration of aging. We
published that it took another decade to
publish.
And, this was this uh big paper I
mentioned was in the um in the journal
Cell which again is
pretty hard to get into. Mhm. And, this
was the one that said
uh
that the change in information loss of
information was the cause of
uh aging in mammals. What's the
difference in phenotypical expression
between something that's naturally old
and something that ages due to the
breaking of the DNA? Nothing. Literally
nothing you wouldn't be able to tell.
Right. That was the coolest part. Except
that they were 50% older and we can
measure
and we did. We measured the methyls
across the chromosomes.
And, we can use those changes as a
clock.
Um and in fact you you probably know you
can get a DNA methylation clock done
these days commercially. So, we did did
it on the mice and the mice were 50%
older those methyl changes Mhm. were the
same as an old mouse just happening 50%
faster. Yeah.
Okay, wild. So, that sets us up well for
understanding the thing that we're
chasing.
Now
one thing I've heard you say about AI is
just the timeline speed up that we get
here. So, what is the where are you
injecting AI into this process? Is it
simulating biology and simulating cells
and just like running thousands of
experiments in the amount of time that
we can normally run one or where's the
real advantage?
Uh it's
simulating experiments. So, normally we
would in the case of finding chemicals
have to
get make the chemicals which can take
weeks for each one. Imagine trying to do
7 billion or 8 billion.
Uh so, we don't have to make them
anymore. We can actually we're now at
the point and this is this is new news I
think everyone would be interested in
hearing.
We started doing 8 billion which we
thought 2 years ago mind-blowing 8
billion. Normally, a pharmaceutical
company might screen couple of million,
right? That's physically.
We can now do an infinite number of
molecules. We believe that we're going
to cover
all possible chemicals.
Woah. Which is an orders of magnitude
bigger than what we've been doing.
And, that's that's only happened in the
last year that we could do that.
Um but, what's what's speeding it up is
the ability to
turn physical world into synthetic
virtual and instead of it taking a year
to figure something out that it can be
milliseconds in some cases. And what's
the most complex thing we can simulate?
Is it the cell? Can we simulate a liver?
Like No, biology is so much more
complicated than most engineers
understand.
Um we're we still probably only know
about 3% of biology. So trying to trying
to model it is pretty hard. And then the
complexity I mentioned that it took all
of DeepMind and uh and those guys
until recently to figure out how to just
model a protein of a thousand amino
acids.
Even 20 amino acids was a challenge.
Trying to model a cell is
going to take a lot more work. It's not
impossible cuz you will make
assumptions, but there's there's no way
in my lifetime
that I I believe that a cell can be
modeled from the ground up looking at
every molecule. Really? In your
lifetime? Right? And I'm an optimistic
guy.
>> I was going to say you don't plan to die
too early. That's wild. So you're saying
we're what more than 50 years away?
That's crazy. To model a cell with every
molecule? No, I mean you can make
assumptions. You can say okay
generally these proteins are around in
this cell and these proteins are around
in that cell,
but to say
to
if if you're right, well if if they can
do that what they should be able to do
one day is to take an egg Mhm. and the
genome
and what we call the epigenome those
methyl marks
and predict what the human looks like.
Yes.
We'll get back to the show in a second,
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And now let's get back to the show. I
suppose this is where I confess my base
assumptions. My base assumption is that
our current
um quest for intelligence shows no signs
of asymptoting. So it's going to keep
getting better. And so as we come up
with more efficient algorithms, as we're
able to make bigger and bigger data
centers, that AI will get smarter and
smarter.
Uh if you can believe that in very
narrow ways we've had AI achieve
something like 147 IQ
uh and that's I mean what are we you
know
50 years into like real AI development.
So it's like in the next 50 years given
where we're at, no way. Like you will
uh this is going to be ignorant and
wrong, but it will give people certainly
how I view this. Um
10 years? I can't fathom a universe in
which 10 years we don't hit artificial
general intelligence. Ray Kurzweil has
been right with his predictions I think
87% of the time. Uh says 2030 that's
four years for anybody keeping score. He
says we'll hit AGI. The question becomes
is artificial general intelligence given
that at that point it will be able to
improve itself
uh is artificial super intelligence four
years and one day? Like or does it take
longer? But I don't I cannot fathom a
universe in which we don't hit
artificial super intelligence in 50
years. I agree. But you just said that
we won't be able to map a cell. And so
what I'm saying is you'll get into a an
upward spiral of intelligence
where we can't imagine doing it now
because being locked into in my case
very low IQ and your case better, but
like as you start pushing this into the
I mean what does uh the smartest guy
ever clocked I think is like 225 IQ or
something, but I've seen his tweets. I
don't buy it. Uh
so 250, 300, 400, 500, a thousand IQ
like what does that start looking like?
Well, it's not IQ that's the problem.
Mhm.
>> The the problem is the compute. Now
maybe with quantum computing we're going
to get there.
But using traditional computers to model
the interactions in a cell even for a
millisecond
would be more calculations than I've
ever been performed in a computer to
this point. Yes. Um so you don't believe
you think that um
advancements in computation are going to
stall out.
Um even if they don't
it probably would take more molecules
than exist in the universe to
without quantum computing to calculate
what happens in a cell within 1 second.
Mhm. It's that complex. It's it it's
mind-boggling how complex a cell is.
Um
so we can model one molecule hitting
another and we can even model
uh I can imagine modeling
uh
a million molecules.
But molecule modeling an entire cell
with the quantum effects that happen
a lot of it's unknowable without going
in and disturbing it as well. So that's
another issue. Mhm. But what what I'm
not saying is that we can't model a
cell. I think that we will be able to
model a cell and I know very smart
people who are doing that or trying to
do that right now.
It's just that we don't know enough
about biology yet to make an absolute
model from the ground up. There's a lot
of assumptions. We know the
fundamentals. We know that there's DNA
and these methyls and we know that
proteins get folded.
Uh
but I can tell you from work in my lab
there's a whole area of biology that
we've been missing
that
uh will hopefully allow us to figure out
where this backup copy is.
And without knowing that stuff
>> uh describe the black box into which
you're appearing right now. What do you
mean? There's a whole area of biology
that we don't know.
Uh well
one of one of the problems with science
is we don't know what we don't know
usually. And that's the tough part.
But one of the big questions in biology
right now is
how does a cell de-age? I I do like that
word.
And we we know that it de-ages not just
from work in my lab and others like
mine.
But we know that you can take a skin
cell. I could take your skin cell.
I could take the DNA out of your cell.
It's going to be old.
Not too old.
>> How dare you? It's going to be older
than a baby.
And I could inject that into an into a
an egg
uh and theoretically um actually
it's not even theoretical. I could turn
that into a sperm and turn it into an
egg. Now I could fertilize you and make
a clone out of you.
This has been done with
with
simpler organisms, but we can do it with
humans
uh eventually. I think that's how IVF
one day may be done if people want to
[clears throat] have children if they
don't produce eggs. We can Chinese
doctor that went to jail. I forget his
name, but follow him on Twitter. Shout
out. Uh he cloned humans, right?
No, he genetically modified a baby.
To be resistant to HIV. Um but his goal
is to and and he's he's doing this
offshore from US of course, but
there are there is the technology to do
that, but let's just say
>> haven't cloned humans. That's the
punchline. No, no, but we've cloned
monkeys, okay? So let's just stick to
monkeys so it's not controversial.
Although even that's controversial.
Uh
how about we talk about Barbra
Streisand's dogs? She's cloned those. Or
Tom Brady who recently got his Okay.
All right, so we can do that.
That was done with old DNA. The DNA gets
reset. Mhm. The information can be reset
in that cell. The other thing we know is
that if you have parents who are 30
years old and they have a baby, for the
first week of life that embryo is 30
years old. What? Yeah, we we're not
always young when we're alive.
Babies would be born old if there wasn't
a reset switch. Uh-huh. So So wait, at
what point are you saying this is like
we know this that embryos are
>> We've measured it, yeah.
Wild. Right? It's a fairly new discovery
which is why
it's shocking. But it will be known one
day pretty well.
>> point post
um conception Exactly. Day seven to day
nine. We know that. Woah. And the baby
goes back to being age zero again. Woah.
All of us.
We were once the age of our parents. So
I was my parents were at about 30. I was
30 years old twice in my life.
When I was conceived and when I hit 30.
That is wild. Okay, didn't know that.
New info. And then the same the same
mechanisms we believe same mechanisms
are what we're using to reset the age of
human tissue and monkeys and hopefully
Okay, so we got under this because
there's certain things we don't know.
You're saying we don't know why those
reset.
We don't know how
it resets. How does the cell know what
it was 30 years ago? And does this feel
like it falls into a category of the
unknowable or just we don't know yet?
Um
we have a pretty good idea in my lab,
but we haven't told the world yet. Okay.
Um I I do text my student often and walk
into the lab and say "Have you figured
it out? Have you proven it yet?"
Um but what I'm doing is experiments.
>> needs to hack your phone. I know they
shouldn't, but
>> [laughter]
>> you probably could with your team out
there.
Um but yeah, so so Chris Petty deserves
great credit. His PhD is on finding what
we call the observer which is what
Claude Shannon in at MIT in the 1940s
called the backup copy.
>> Mhm.
Um
So, what we imagine and are testing is
whether there are structures that get
laid down when we're very young
during our youth that can be accessed
later in time in a 60-year-old,
70-year-old
to reset the age. Not We don't want to
go back to zero. That was the
breakthrough we had in 2020.
You don't want to go back to zero. I
mean, first of all, who wants to do high
school again? But, you probably get
cancer. So, we don't do that. So, we
figured out a way of using those three
genes, OSK, to go back 75, 80% and stop.
>> Mhm.
How does that happen?
We think there are little messages
with new biology, structures, chemicals
that are new to biology that AI may not
have figured out or will not figure out
easily. Maybe they would.
But, that's where we're at now. If we
probably in the next few months we'll
know if we're right.
And uh I've been saying that for about a
year now, but we're close. We One One
way you do this as scientists is we look
for necessity and sufficiency. All
right. Necessity from an evolutionary
standpoint?
No, from a genetic standpoint. What we
do as scientists, geneticist, is
if we change something Mhm. Let's say if
we
knock out a gene
is that gene necessary for the reversal
of aging?
>> Mhm. Is that process necessary? And then
if we force it
to turn on and now we we trigger that
event, is that sufficient in itself to
to make the change? And when you get
necessary and sufficiency satisfied
you're really onto something. And it was
similar with that mouse, right? We knew
that
uh it was necessary
uh
that uh these methylation changes could
rewind rewind rewind aging. But, also we
knew that it was sufficient to change
those methyl chemicals to cause aging.
And that's why I'm so certain that the
information theory of of aging is
correct.
>> Mhm.
Okay. Uh
this brings me back to something I asked
you earlier, but I want to push on it a
little bit. So,
when you interface with AI
I've always said if AI can come to
understand the fundamental laws of
physics it will be able to make novel
breakthroughs and all bets are off,
technological singularity, the world is
unknowable to us.
Um
as you're approaching it, has AI made
any novel discoveries, novel insights
that aren't already in the literature,
or is it just doing a really good job of
recognizing patterns in like what we
already know about a cell?
We in my lab collaborated with another
group out of Stanford who developed an
agentic system
with multiple agents, about a dozen
agents that did different things, and we
fed it our data.
Interestingly, it's the data that mapped
those chemicals on the DNA that change
with time.
And we did mouse. We've looked at
tissues from mouse at very young age,
middle age
uh about our age and then even older
equivalent.
And [snorts] uh
the the what happened was
the the agents went to work and and
about a month later
and there were some iterations, right?
It probably didn't take a month, but we
got the data back from this group we
were collaborating with at Stanford
out of Stanford. And what was incredible
was it didn't just come up with
validating what the field, the smartest
people in my field, had done over the
last 10 years.
Which which by the way would have been
oh yes, you can make a clock out of DNA
methylation using these parameters and
this
you know, Markov modeling and and uh
you know, all all sorts of of
what was already known in the
literature, which is what I was
expecting.
What happened was it came back and said,
"Hey, did you guys ever think of this
before?"
And came up with a completely new way of
looking at the data and making a new
model to predict biological age out of
the data we gave it.
Not only that it it proved the data, it
did the statistics, it wrote the paper
up for us and presented us with the
finished product.
Which sucked cuz we want to be
co-authors, too. So, we changed a few
words, but now I'm a co-author with an
AI system. Damn. That we have It's up
online, but it's not published yet. But,
you can you can find it on bioRxiv.
>> Mhm. If you know, if you do Sinclair
agentic uh biological clock you'll find
it.
>> holy this is just had a novel
insight and how fast are or
It It was a holy because
I thought that my job was not at stake.
Mhm. The arrogance was
I've got all this knowledge and
experience and gut feeling
and I'm really creative.
But, here I'm seeing the beginnings of
creativity that can be super creativity
in the future.
And I I think most people who are not
like us at the forefront of technology
like discussions with my father who's 86
AI can never be creative.
That's just human arrogance. They
definitely are already creative and
it'll only get better.
Yeah, that's uh
that's encouraging in terms of its
capabilities if it's actually able to
understand the fundamental rule set and
then say, "Hey, what about this?" Okay,
so we You guys have created in your lab
a
um model that is able to actually gain
real creative insights based on what it
understands about biology and all the
cells that it's seen and all of that.
So, where is this pointing? If you don't
have
conviction that we'll be able to
simulate a cell in your lifetime
is it that you don't think we require
the understanding or the sophistication
in order to profoundly de-age the body
because the body is the very complex
system that you don't think that we can
fully understand. But, yet you seem
optimistic that we'll be able to
influence these incredibly complicated
processes
in a way that is both knowable, so we
can do it repeatedly
um and advantageous.
For age reversal?
>> Yes.
Absolutely. We're doing it already.
There's no question about that.
>> Why? We don't need to know every
molecule in a cell.
>> as long as we understand how to
manipulate the output, nothing else
matters. And knowing why it works is the
hard part.
Manipulating it to give us a predictable
outcome is hard, for sure, but far
easier Oh, yeah.
>> than the simulation.
>> Yeah, yeah. Yeah, my students, I mean,
they're in their 20s, they have regular
tools, they can do it. You I could set
you up in the lab, you could do it. It's
not that difficult now that
we have this hypothesis that appears to
be true.
In the same way, I often refer to the
Wright brothers cuz this this is our
Wright brothers moment for humanity when
it comes to aging.
And there are skeptics like in 1904
people were saying, in fact, the New
York Times published that it would take
a million years or more to figure out
how to fly.
Uh and then it it was like 3 weeks later
Wright brothers. That's how I feel when
you say that a cell won't be replicated,
but you know, it's all right.
Yeah. Uh well, they
we don't need to know and we still don't
know how every molecule in an airplane
functions. Yeah, fair. We don't need to
model that. We We can make assumptions,
we can make generalizations about wind
flow and wing structure and metals. Same
with the cell.
But, you still need to know what's the
metal? Mhm. What's the wind? How does
How does air work? And there's still a
few missing pieces when it comes to
biology to be able to simulate an entire
cell.
But, when it comes to aging, I think the
big breakthrough was
understanding that aging
is information and that it can be reset.
>> So, how far are you going to be able to
push that though? So, I'll give up,
doesn't matter, not going to be able to
simulate a cell, doesn't seem like it's
relevant, to be honest. So, now we've
got uh we're showing great signs that we
can improve eyes.
Um
I want to feel as good as I did when I
was 25. I want to look as good as I did
when I was 25. Like, how realistic is it
that we can go in and influence
multiple systems in the body in
coordination with each other and not end
up with whatever catastrophe looks like.
So, I imagine the catastrophic fail
here, which you've already mentioned, is
cancer. That would be one catastrophic
fail state where you go back too far and
it just all hell breaks loose or um
getting into some sort of decoherence
where it's like
uh we are telling the cell to move in a
direction and we can't stop it or
whatever. And so, it just basically
becomes a pluripotent mess.
Um so, how far can we take this?
Yeah. Well, pluripotent is a good word.
We'll just explain it that that's a cell
that can become any other cell type, so
age zero.
Uh and that won the Nobel Prize. Uh
Shinya Yamanaka deserved the Nobel Prize
for figuring out that using his Yamanaka
genes, of which we use a subset can take
cells back to being pluripotent. It's
incredible. And that's how you make a
clone, by the way. But, that doesn't
work for for human health because as you
said, if your cells lose their identity
and become age zero
you're not going to live very long. Um
and even if you do it in a few cells,
you could get cancer. So, that was the
tough part. I love the way you always
whisper cancer.
Yes.
>> Well, I I will say uh cancer's been in
my family, so it's not I just had skin
cancer, so I feel anyone's pain. Yeah.
Well the the good news is we find that
when we reprogram cancer cells, the
majority of them slow down or die. So,
de-aging cancer doesn't make it worse.
It actually makes it die and shrink. So,
that's good. I'm not so I'm not worried
actually about cancer anymore.
The The observer
>> I'm going to up on that in a minute, but
keep going. The the I'm going to call it
the observer, the backup copy, cuz
that's what we call it in the lab.
The observer has a way of stopping the
reversal at about 75%.
And it works in every tissue that we've
tested it in. We started with the eye
and human skin cells. Um
really not because the eye is easy, it's
because it's really hard, but it's an
enclosed system and safer to deliver it
to humans than giving it IV.
Interesting.
>> thing.
But it worked in the eye. And that was
>> Because you can keep it uh localized?
>> Yes. Got it.
>> Exactly. Okay.
>> So, putting genes into the human body
is is
you know, done, but it's the FDA here in
the United States is much more
comfortable treating the eye, cuz it's
it's done every week in in patients.
>> Mhm. So, we started with the eye
and it was a hell of a experiment. My
student, Wang Cheng Lu, who
uh
at one point was ready to give up cuz it
was so difficult and so challenging and
things weren't working.
Um but he went for the eye, he chose the
eye. I let him go for the eye even
though I thought it was crazy to try
curing blindness.
But he did it and the results were clear
that we could reverse the age of the
eye, the back of the eye in particular,
which is the problem for old mice and
monkeys. Mice then monkeys.
Um and then we we've moved on since
then. So, the the mice were in We were
doing that in 2018.
Right? It was even pre-COVID we had some
of these results. So, now we're
you know, how many years? 7 years or so
later. We've done a lot. We've done
whole mouse brain. We can reverse the
age of the brain.
And the results are that old mice get
their ability to learn and they even
get, we think, get some of their memory
back from their childhood.
Okay.
Uh-huh. Yeah. Yeah.
>> in an Alzheimer's
context and in old just old age
mouse. Mouse
>> lot of people just sat up. Yeah.
Uh okay, so obviously we haven't done
human trials yet, but it does this give
you a level of optimism that we'll be
able to um positively impact things like
Alzheimer's?
Yes. Now, Alzheimer's is is a big
disease. Yeah.
>> And it it would be
a little bit outrageous for me to say
it's going to be easy to cure
Alzheimer's. That's crazy. But do I see
a path to doing that? And why would I
think that my approach is more effective
than the tens of thousands of scientists
that have come before me who are
probably
kind of pissed with me if I say this
kind of stuff.
The reason is that we haven't addressed
Alzheimer's from an aging point of view.
Most of Alzheimer's is aging. You don't
get Alzheimer's typically when you're 12
cuz your brain can fight the disease
even if you have the genes for
Alzheimer's, APOE4 allele. You don't get
it till you're 60, 70, 80. Why? Because
the brain has to get old first. And what
we've discovered is if you de-age the
brain, the disease goes away. Yo.
And that we find true for every disease
we've tackled so far.
How many diseases have you tackled so
far? Let's Let me try to list them.
Um and uh it's just just in my lab. I'm
not not the only one working on this.
Um
we've done multiple sclerosis, all
right? So, MS, we've we've published
that that that is ameliorated by
de-aging the nerves.
Uh we've done kidney
liver
disease.
Um a big one is ALS, motor neuron
disease. Nothing you can do for those
patients really.
That looks like it's working
um in my lab.
And uh skin de-aging. We're now working
on hair and hearing.
Damn, man.
Uh okay, so all of that is incredibly
encouraging. Uh you said some positive
words about your reduction in fear
around cancer, but you haven't tackled
cancer yet.
Uh the diseases that you all just
mentioned, all in mice or all in mice
and monkeys?
In monkeys we've only done the eye.
Okay? So, in mostly it's
growing human tissue from scratch.
Uh well, there are two ways we do it. We
either grow flat cell layers of human
skin. So, if I took a biopsy
uh back to my lab from your skin, I
could grow a flat layer.
>> skin back to that.
You your uh almost middle-aged skin.
I hope I'm only middle-aged.
Yeah, you're you're fairly younger than
me, I think.
>> I don't think so.
Uh yeah, I'm 49. Yeah, you're fairly
younger.
Yeah, I'm 56. That makes me want to
punch you. I'm inspired.
>> Blame my parents.
>> is Well, I want to blame your protocols.
I'm secretly hoping that this is all uh
something I can learn to do myself.
>> So, a lot of the testing that we're
doing in labs is basically on just
cells.
>> Correct. So, we build the cells up, so
it's So, we have, in theory, tested on
human cells.
We just grew them ourselves.
>> Yes. Okay.
>> That's our standard. And human cancers
we grow in the lab. Lung, colon cancer,
melanoma, we grow those. But we go one
step better.
Somewhere
towards a monkey.
Even better in some cases. We could We
do and we could take your cells instead
of making them flat we could
re-differentiate them
into organs or tissues. And we do that
in my lab. We grow miniature brains. Get
the out of here. You have miniature
brain human brains. Yeah, and we give
them Alzheimer's, we make them old.
What?
And then we de-age those with our
chemicals and genes.
>> Wait.
Do they look like brains?
>> Yeah, of course. Yeah.
>> What?
>> They look like If you cut them through,
they've got all the structures of a
human brain.
>> I look at it, am I Do I feel like I'm
looking at a G.I. Joe brain that
actually has like all the structure of a
human brain? There's no way.
They're like little blobs, right?
>> They're blobs, but with the same
structures. Do they look like a brain?
They look like
>> know if they look like the thing
that is on the Sistine Chapel. It's got
the shape and all that. Like, is that
what we're talking about?
The Sistine Chapel?
>> Yeah, you know that God is sitting
inside of
a thing that's a brain that's been
vivisected. Surely.
>> I don't know of that.
>> What? Okay, anyway. So, the brain has a
super recognizable shape. You're saying
it's in that shape.
This is wild. I'm coming to your lab
later today. Come
>> This is crazy.
>> We Let's have someone from my lab take a
photo, send it over.
And sometimes they grow little black
dots, which are eyes that grow, too. You
get two little dots. This is incredible.
And you can measure the brain waves.
>> Can I ask, what are the ethics on this?
It's If you're
Are they
conscious? They I don't know, but they
have brain waves. Um
We don't We don't know what they're
thinking, though. This is insane. Okay,
now I'm totally fascinated. We have to
like put a pin cuz I need I have to ask.
Okay, so you guys are able to replicate
micro brains. How do you make them
small?
Well, we grow them from single cells. We
We turn them into stem cells.
>> Would they just keep growing and growing
and growing if you fed them? They reach
a certain size where they don't keep
growing because they don't have blood
vessels. Do they have a pituitary gland?
They don't have blood vessels. How do
they
stay alive?
We shake them in liquid and the oxygen
diffuses through, but if they get too
big, that the core becomes hypoxic and
doesn't grow well. But what we need to
do is to mix them with blood vessel
cells, which people are working on. And
then we could grow them really big.
This is so interesting. Oh my god.
>> And then it's a ethical questions about
if you can grow a brain from scratch,
should you teach it something? Should
you give it something to think about?
Yes. Anyway, it's a good model for
aging.
So, wait. There are, it's my
understanding, AI that right now can do
like these really rough like, "This
person is thinking about this." And it
like shows you like a horse and you're
like, "It's kind of a horse." It's just
like sort of blobby shapes. We need to
apply immediately this AI to these
brains. I need to know if these things
are like screaming out, "I'm bored, bro.
Like, come on. Give me something to do."
This is wild. Okay. And And here's the
other thing is Yep.
We see them get old. They lose their
firing. And we can look at them in real
time. They're actually
You see these sparks. It's like looking
at fireworks. When they get older,
there's fewer fewer sparks.
>> How are you monitoring the brains? Uh
Well, you put them under the microscope
and we can see calcium changes. When
calcium gets
These are the fireworks? The nerve
cells, when they get calcium Uh-huh.
they they
>> microscope, are they now dying at this
point? No, they're living. We can put
put them back. Wow. Okay. So, we see the
calcium changes and wherever calcium
comes in, which is what's happening in
our brains right now Yeah. with the
firing, it lights up with a dye, not
naturally. We have to give them a dye
that lights up. But you can see that.
And so, you see with the old brains that
are a year old
that's old for a for a brain organoid.
Uh-huh. If we give them our
genes or our chemical cocktail, our
three chemical cocktail
the firing comes on again. Mhm.
And we did that to a mouse, as I
mentioned, and the mouse is growing old.
>> is like the human brain now. Well, we we
hope How close to that
>> be testing this in humans. Uh-huh. For
the brain as well.
>> Adult humans, you're saying?
>> Adult humans, yeah. Uh I don't know that
I want to leave the baby brains yet, but
okay, so adult humans, uh
what condition would they have to have
to subject themselves to this cuz this
sounds experimental.
Uh well, the three chemicals are where
we're getting permission to give them to
people in a clinical trial to see what
would happen.
>> But people just like, "Hey, I'm Bob. I'm
doing fine, but hit me with the three
chemicals. Let me see what happens."
Yeah. Wow.
Yeah. People do that.
All the time. This is amazing.
>> a phase one clinical trial. Wow. Yes.
Okay. Hey, cool.
That's amazing. All all so people are
going to volunteer to have these are how
you getting the chemicals into their
brain?
Oh, you just swallow it? You can take it
in a pill. That's the goal. That's wild.
How does this survive metabolism?
Well, it's at least two of these
molecules have been taken by humans
already, so we know
maybe all three actually by now. Wow.
>> that they're metabolized. Uh-huh. But we
we need AI to make
improve that three chemical cocktail.
Right.
>> So that I don't think that's the
ultimate drug that I'm going to put on
the market. Uh-huh. I think
though if I mention those three
molecules, you could bet that people be
out buying that stuff already. Yeah,
didn't you say them at the top?
No, I said the genes. Those are OSK
genes.
>> Smart. I have to be. I mean, hopefully
people won't go and inject them with
some salt
>> Oh, they will. Apparently, they'll even
just sign up for a clinical trial cuz
why not? Okay.
>> know some people have injected
themselves with OSK already, which is
Uh okay, so people are injecting
themselves with this stuff. Fascinating
because because they think
this de-aging thing will work? Yes.
Okay, even though you're saying it's
there's more to it than just that. Well,
just to be clear, these are these are
not
FDA sanctioned clinical trials.
>> Yeah. They there's there's a fringe I
think people should be able to do their
body what they want. Do you think? So
then it it's a few people in the world
that are willing to try anything not to
age.
But getting back to really mainstream
science and drug development
>> I was having so much fun with the baby
brains. We can go anywhere you want,
Thomas. Your show.
>> Yes. The uh
I do want to say though that we we I'll
just tick off um
the diseases that have worked well. Yes.
Please.
>> No, I already did that.
You're you're talking about in the baby
brain though? Or cuz those were I
thought those were like thin sheets.
Yeah, I know what I wanted to tell you.
That we don't just grow brains. Mhm. We
grow other things. Such as? Well, we're
growing a uterus.
Why not? Are we impregnating said
uterus? No.
>> Why a uterus? Why are we building a
uterus? Because to see if you can
reverse fertility problems? Yes. Let's
go.
Well, we
just in in all public disclosure, I have
one X chromosome and one Y chromosome.
So I'm a male.
>> Fair. Yes.
>> So we males are fairly dumb when it
comes to female health. Yes.
>> And my partner is a gynecologist and
much more expert in female fertility.
That said I'm a scientist and so I want
to be able to help women have children
for longer and even have children after
they've
gone through menopause. Let's go. And uh
so we've we've already shown a number of
years back that using
a sirtuin, remember the sirtuins? I do.
sirtuin activating molecule that we
could reverse infertility in old very
old mice, female mice, and they could
produce fresh eggs and have children.
That we published. That's real.
But uh we I want something more potent
than that um that will truly reverse the
age of all parts of the female
reproductive system
um including the uterus. And I have a
student
uh Maria
is working on that. That's her project.
Damn. So This is wild. Okay, so
give me give me just a quick timeline
for this stuff has to work its way
through the FDA.
Like when are we talking about a
65-year-old woman de-aging her uterus
and having babies?
Well, you you don't actually fully have
to de-age a uterus. You can have a
surrogate. So I I
I could hear people screaming at us that
we don't need to fix your uterus. What
we need is healthy eggs and a healthy
sperm. Uh-huh.
Uh and that's
>> Wait, I'm not follow I'm not tracking
the caveat. So you just said you want to
help de-age the uterus.
>> Well, I do because that's
>> Now we're trying to soften it for the
screaming people, the chattering masses
in the comment section. Uh but talk to
me about when So got it, there are other
things that people can do right now
today.
Yay. But I'm saying when are we going to
de-age
a woman who's 65, she's been through
menopause for a decade. When are we
going to get her producing eggs again
and a womb that can
like house a healthy baby to term?
Ballpark me.
The uterus is early stages. We're still
growing those in the lab and looking at
menstrual fluid and that kind of stuff.
>> Wild. Is this a full-size uterus? This
isn't This isn't flat cells. This is
like I would actually recognize the
uterus. Yeah, we grow it from scratch
and it's three-dimensional and it's in
the dish. Yes.
And then we're going to age them and
hopefully de-age them, obviously.
Well, so what but what I I can predict
with more certainty because I can see
where we're going
with more clarity that
this discovery that we made in the mice
is now being tested by others in humans
already.
So sirtuin activator the sirtuin
activator. Okay. Um it was I think about
eight years ago we published that
raising the levels of a sirtuin
activator called NAD Mhm. that chemical
which we make less of as we get older
by raising that the eggs became produced
and fresh again. Just from NAD?
>> In a month. From raising NAD.
And just last week I saw a study testing
women who were
not very fertile
uh
receiving for 10 weeks an IV each week
of NAD. And if there's no positive to
egg count.
of egg count, egg quality, embryo
quality.
>> Mhm. Very rigorous, actually.
And although it's the first of hopefully
many studies, it was extremely
promising. There was a dramatic
difference two, three-fold difference
between those that got the NAD IV and
those that didn't. I have a feeling you
want me to let go on the timeline, but
I'm not going to. So ballpark me knowing
certainly I know that whatever you say
isn't going to be accurate, it'll just
be directional. But if you had to swag
me
>> If that was If that study is true
again, be cautious. It's one study.
>> Yeah, yeah. But let's say it's true.
Then
I think it's likely that NA NAD IVs are
going to help women who want to get
pregnant.
>> Yeah, yeah, but timeline. We're
rejuvenating uteri here. Well, the
uterus is different. Uterus is more
challenging, but the egg story 10 years?
20 30 years?
Okay, so NAD for somebody that's sort of
on the cusp Yeah, look at that. But I
want to know when we're When's the
uterus? Yeah, I'm talking I'm giving you
the very specific set
>> Thomas, it sounds like it sounds like
you really need a fresh uterus. No, but
this is so interesting.
>> Yeah. That the So never did I think that
already on the sort of pipeline of
things to be tried would we be growing
brains, actual mini brains in a lab,
actual uterus in a lab. Like this is
thrilling, exciting, shocking, but I
just this was not on my bingo card. So
uh now I want to know cuz it's clearly
closer than I thought.
>> Yeah. Um given that we have to get
through all the FDA and all that. Like
are we talking 30 years? Are we talking
15 years? Like what are we talking
about? All right. Well, there's there's
actually there's two options. One is the
FDA route, which is
novel molecule, AI gives it to us. We
take that. I've got a company Life
Biosciences that's ready to go.
Um and they're all set to go. So that
usually takes five years to get through
the FDA
with a small molecule that's been shown
to work in animals.
>> But do we have 20 years of discovery
still on the de-aging of the uterus or
are we already pretty deep in that
process? Well, we're going parallel.
We're going AI to find the molecule and
I said we've already done a lot of that.
And then we're we're building the uteri
in the dish right now and we'll just put
those two together when they're ready.
>> This is so wild.
>> And then if that works and the mice
work, then we can apply
to test this in humans
uh with you know
adequate safety studies in animals. The
safety studies take a couple of years.
That's wild. All right, I want to go
back to the brain. The brain is my
thing. If ever there was something I
wanted a a fresh new one, it would be to
keep my brain healthy forever.
So there are things that people do now.
So you've got stuff like ketones.
I will take ketone supplements. I will
take
uh caffeine, obviously, nicotine. So I
do things to sharpen my brain now. How
does that stuff compare to what you're
talking about? Well, right now I think
stuff like ketones are are excellent for
the brain. Um yeah, I I'd be
>> Similar mechanism or totally unrelated?
We don't know. It's possible they're
they're related because
um
beta-hydroxybutyrate can actually not
just affect energy in the brain
and that's why I
drink
uh actually
there's a group that I'm collaborating
with uh scientifically as well that are
doing good studies at Ketone-IQ. The
science looks really good. The brain is
what I use it for. I I chug it before I
do recording of the podcast that uh I'm
relaunching, season two coming up.
But yeah, I I find that when I'm I'm
stressed and I'm having to basically
take 15 pages and and remember it in a
few minutes then I need that extra fuel.
And we know that ketones are very good
for the brain. But you're asking me, is
it related to my work?
What's interesting is that these ketones
um and one is one that's related is
pseudo related molecules.
Um [snorts] they're kind of related to
vinegar. These molecules actually go in
and they change
the structure of how the DNA is packaged
to help with the methyls. It's so acute
though. It's not like I can take one
shot of ketones and my brain is better
for a month. It's very at least for me
very short acting. Yeah. So that's
that's Yeah, there's so there's probably
two things happening. The first is the
ketones are good fuel for your brain. So
what we know is when we fasted for
let's say about over 15 hours, ketone
levels will go up because you run out of
glycogen from the liver.
Uh and then the clarity, mental clarity,
you might be a little angry cuz you're
hungry, but the clarity is there. We all
we we've probably all done this if if we
if we study and we're not eating a lot,
we can focus. I know I need that cuz I
get distracted by every little bug
around me.
But the the so the focus is there and
the ketones really help with the focus
and I can mimic fasting and I can even
enhance my fasting. I try to do
intermittent fasting um as best I can.
And some of these ketones, if you take
it with fasting, can actually improve
your ketosis. Hm. Those sound like
separate mechanisms to me. One feels
very acute and is a hey, there's this
molecule that you put into your brain.
I'm fumbling for the mechanism here and
it's essentially like giving it food to
run its processes faster. The other is
reaching into this black box and finding
these magical um the observer
and getting that to work. It's magic.
>> Yeah.
Let's let's just take a take a pause on
you [snorts] are what you eat and it's
not just energy, it actually does modify
the DNA and the structures that package
the DNA.
So let's just get back
>> The ketone or the Well, the the ketones
like beta-hydroxybutyrate, these
molecules actually get attached. So let
let me briefly explain to you
how is DNA packaged in the cell cuz that
determines whether a gene is on or off.
We talked about these methyls.
When it's methyl, it's blocked. But it's
not just a string with chemicals on it,
it's actually wrapped up tightly in
proteins that are like balls, tennis
balls.
And the tennis balls come together. So
now you got this big structure. If you
look at them, it's called a chromosome.
So these balls, they aren't just tennis
balls, they actually have flags on them.
Imagine a tennis ball with little flags
that say read me or ignore me.
Some of these flags
are methyls as well
on the DNA and on the balls, the protein
balls, called histones. But there are
other things. There's a whole semaphore
of flags that tells the cell what to do
at that point in the genome.
And two of those chemicals, one is
butyrate that gets attached to the ball,
the other is acetate attached to the
ball on amino acids,
lysines usually.
And these histones have tails. So it's a
tennis ball with a
a tail,
a protein amino acid tail.
And it's that tail that accepts these
little flags.
So when we know this for a fact that if
you drink
acetate or butyrate
or molecules like we're talking about
these ketones,
you can change the pattern on these
little flags
in ways that are healthy. So that's
another reason why fasting may give you
a buzz or focus for a while, but
long-term, if you do it for months, you
will actually change
your gene expression and slow down I I
believe slow down the rate of aging as
well.
Okay. Preserve the information.
>> we have reasonably that's true through
fasting. Can you supplement your way
there?
We don't know.
But
there's no reason to believe that that
wouldn't work because what we're
drinking in these bottles,
um like the 1,3-butanediol,
is
that is naturally there in our body
anyway. We're just giving the the body
more of it. These are breakdown products
of fat, right? So after 15 hours of
fasting, we get these fatty acids out of
our fat.
That's how the body uses fat. Turns them
into these ketones that give fuel, but
also change the regulation of genes.
Some temporarily, some long-term.
Okay.
So that's the exogenous stuff that may
or may not have long-term sort of
stacking effects. But what you guys are
doing
now on the brain, the brain is insanely
complicated. I've always assumed that
part of the problem with Alzheimer's,
not that the amyloid plaque is the
cause, but that you would have built up
so much plaque, I don't see how you
start unwinding that if you're not
clearing the plaque out. Do you think
the plaque is um
the brain knows how to get around it or
does it get cleared in some way? Like
how how would this look? That's a a
really great question and one that we
are addressing.
The reason I don't know the answer yet
and I can tell you what I think is going
on based on other experiments in
different tissues, which do clear out
proteins like beta-amyloid. But we don't
know in the eye, sorry, in the brain for
sure. And the reason we don't know is
we don't get a lot of plaque in the
mouse model. Hm. We get all these other
problems.
There's a protein called tau,
phospho-tau, we do see that. And we turn
that on in the brain.
But we don't know for sure yet if the
plaque goes away or if the brain just
can handle it better. Hm.
What about all of our little mini
brains?
We haven't run this yet.
>> No. The mini brains are not getting
plaque. They just get dysfunctional with
the APOE4 gene.
>> Because your um
like racing forward their aging so much?
Well, it's partly that, but also the
APOE4 is producing this APOE protein,
which can cause problems inside the
cell. You don't need to have these
collections, these crystal crystals
outside the cell to be defective.
>> But doesn't that tell you that there's
something different going on? So if
Alzheimer's were just pure aging
and part of the the phenotypical
expression, which fancy word for what
does it look and act like,
um if the expression of aging is the
some damage occurs that causes the build
up of amyloid plaque, if you are to
artificially, I'll put that in air
quotes, but if you artificially age it
and it does not build up amyloid
plaques, then we know there's some
different mechanism happening. For sure.
Not everybody gets Alzheimer's, but we
all get old. Yes.
>> Alzheimer's accelerating
the aging of the cell Mhm. um and
causing it to be dysfunctional.
But
what we know is that we don't need to be
clearing any plaque for
the animals to get better memory and it
may not be necessary in humans as well.
But you bring up something just to
really beat this to death, maybe this is
what you were just about to say, but um
how do you interpret the I get two
different results. When I age up my mini
brain, it does not build up plaque.
Right. Human life seems to build up
plaque.
You might be right that the mini brains
don't age
80 years, which is what humans do. Maybe
we're only aging them to 40. Hm. I don't
know, we don't get there. It's not a
perfect mimic.
>> of travel, but
Yeah, I mean every model in the lab has
its caveats.
You got to take what you can get and
right now the state of the art is mini
brains getting old, but not getting
plaque. But we do put those genes in
there and they do get dysfunctional
quicker. Hm.
Um I
I think it's it it's an interesting to
point out that
the the age reversal may clear out the
plaque and the reason that I I'm
optimistic that it would in humans is
because we've done this in other
tissues. The eye for instance builds up
proteins lipofuscin
uh causes macular degeneration.
And to my surprise, when we reversed the
age of the retina in a mouse that had
those protein inclusions,
they went away. And the retina regrew
and became flat and nice and functional
again. So there what we're finding is
it's not just reversing aging, it's
actually rebuilding the body to be young
again.
And the the best test of that was
we actually pinched optic nerves and
destroyed them. That's one way
to test this. And what we found was the
optic nerve regrew back to the brain. So
even something as bad as crushing nerves
causes them to regrow like they were
embryos again. Whoa. Hold on. For uh my
whole life I believed that nerves don't
regrow.
They don't. So this really is like if
this ends up being predictably um
repeatable, this would be huge.
Well, that's why in part it got the
cover of nature, which was oh my god,
we're able to regrow nerves again. And
it's huge not just for the eye, of
course. Anyone who's broken or or could
break
>> like spinal injuries? Yeah, yeah.
>> That's right. That's that's low-hanging
fruit as well.
Huh. Are there people right now? Because
let me tell you, if I was a
quadriplegic, I'd be like, yes, I'm
first in your trial, inject the life out
of me, give me whatever you need to give
me.
Um do we have people lining up for that
one? And is there a reason that we're
not already doing that? It's regulation
that's stopping us from doing it because
we need to make sure it's safe. Are you
by any chance connected? You must be,
you know so many of the same people. Are
you connected to Elon Musk?
No.
I'll be I I don't know him at all, but I
know Peter Diamandis knows him well. I
know you know Peter well. Just because
obviously what they're doing, we're
trying to sort of bypass all that stuff.
Maybe they wouldn't care, maybe it's
even contrary to their business model,
but um
being able to fix somebody who broke
their back would be obviously massive.
>> Yeah.
I mean
it's not technology that's holding us.
It's safety and rigor and regulations. I
think we're we're there. It probably
would work cuz the eye is no different
than How profoundly is the nerve
regrowing?
Well, you're right, nerves don't regrow
and there have been some small advances
over the years.
Other labs have regrown nerves maybe
5%.
We got 100%. What the man? This is
one of those
uh
>> [snorts and sighs]
>> there's a there's always such a big gap
between what works in the lab and what
works in real life. So I'm aware of
that, but this is
this is very interesting. If you're able
to So my wife's grandmother um
I think she actually died from cancer,
but she had Alzheimer's for the last
goodness how many years of her life.
Absolutely tragic. My great fear is
losing my brain. Yeah. Um the thought of
being paralyzed has always been so
hopeless my entire life. The thought
that you can regrow nerves is absolutely
wild.
>> Yeah.
And for a disease like ALS where the
nerves that are holding onto your muscle
are retreating, degrading, regressing.
We're finding that we can regrow those.
One of the reasons people have falls and
can't control themselves physically when
they're older and maintain balance is
that problem. The nerve muscle junction.
>> Mhm. Get retraction. These nerves go
away.
We've got images in my lab when we treat
with our chemical cocktail, those nerves
then regrow for the first time ever in
biology to go back to where they came
from. What's going to stop this from
being real?
Like this When something seems to be too
good to be true, it is too good. So,
what's the what's the catch in all this?
The there are
making a drug period, whether it
reverses aging or not, is is hugely
challenging from bench to bedside as
they say.
There are
uh biological issues. So, you might be
wrong about the theory. Don't think
that's the case. It may not be relevant
to humans. It could just be in rodents
or mice. Don't think that's true cuz
it's working in monkeys already. Mhm. Um
there could be safety issues.
Right? But we've ticked all those off so
far. So, what's left? Well, uh
there's funding. You need hundreds of
millions of dollars. So, I spend fair
amount of my time traveling with Serena
around the world to raise money to do
these trials.
And thank you to all the investors that
have come in to help us with that.
And uh
that's The company's called Life
Biosciences, which I'm chairman of the
board of.
That company um
has a great team. You got to have a
great team cuz you can mess up a
clinical trial and not get great
results. Mhm. And you got to do it the
right way with the right controls.
Um and then
I don't know. I think that's that's
pretty much it. And then it does it
works or it doesn't. And if you're
wondering what's the chance now, I've
I've pegged it at
at least 80% given that it's worked well
in the monkeys multiple times. In that
you're clamping down on the nerve,
effectively killing it, and then
regrowing it. What nerve are you
clamping down on?
Uh the entire optic nerve. Okay. So, you
make them blind and then unblind them?
And then they can see again. That is
wild.
Uh okay, so
>> By the way, that's that's required by
law. It's not something I want to do.
What do you mean? Well, the the the
government makes
us
drug developers
do these safety studies in animals
before we can touch a human. Meaning
they force you to blind and unblind the
monkey. Yeah. I wouldn't want to do
that, but that's what we've done. And
fortunately it worked. It cured them.
They're all good. And uh
>> wild. Yeah. Okay. And so, uh are you
just clamping the nerve and the pressure
is what makes them blind and just
unclamping it by any chance?
>> No, it's done differently than a clamp
because it's harder to do with a clamp.
>> Uh it was done with a bright light.
So, you burn the nerve essentially?
I don't know if you like that word
choice.
>> choice. It's not really burning, but it
is bright enough.
>> damaged? They're not going to see again
unless we treat them.
Okay. Are you doing it just by shining a
light in their eye?
>> laser. Interesting. Okay. Uh okay. So,
we are overloading, frying, whatever
word feels accurate uh the optic nerve,
and then you're able to regrow it. That
is crazy. Okay. So,
Oh, and let me say in humans we're not
treating
laser-induced blindness. We're treating
glaucoma, which is the leading cause of
blindness in the world. Is that nerve
related? Oh, yeah.
Interesting. People think it's the
pressure.
But it's it's actually the pressure
that's just disrupting the function of
the nerves at the back of the eye. Which
we can Don't you have to alleviate the
pressure first? Or do you just have to
keep doing this? Like the pressure takes
time to crush the nerve again and Well,
the pressure may come back, but there
are good drugs already to lower
pressure. But even if you lower the
pressure, the nerves are still not going
to work.
>> Wild. Wild. Why Do you have a guess as
to why nerves don't regrow? I've never
understood that. Like so many other
things in the body do, but it's like,
"Oh, you broke your back. Sorry, done."
Yeah. Well, that's unfortunately the
cruelty of evolution. If it's not 100%
nec- necessary necessary for a person to
survive
and it's rare enough.
>> is necessary. If if all of us in in on
the savannas of Africa were getting back
damage,
we would have figured out how to regrow,
but it was so rare. By the time you
broke your back, you were getting eaten.
So,
that's sort of game we were playing.
>> But you got to keep the
children coming.
Um and uh it was mostly men who were
getting broken backs anyway, probably.
>> From war and whatever.
We're expendable. That's so wild. Yeah.
But there are some species that do
regrow their nerves and grow regrow arms
even. Uh salamanders.
>> Yeah, yeah. I thought you were saying
for humans for a second. I was like,
"Wait." I wish. Not yet. But we know
that it's possible in biology, and we
actually have evidence that what we're
tapping into to regrow the optic nerve
and fix the liver and skin
is the same process as
lizards and salamanders use to regrow
limbs. Interesting. Okay. So, what's the
approach with skin? How do we Same idea.
It doesn't matter the cell type. We're
going to get these three So, wait. Can
you then, if it's not an injection and
we do turn this into a pill, is it just
everything that can't be positively
impacted by this will be? How will that
work? In terms of um
flash me forward that's 10 or 15 years
from now. We've identified
single molecule or the best combination
of these,
>> [clears throat]
>> and are we Do you see this as a targeted
thing where we go in and say, "Okay,
this is the optic nerve treatment. This
is the broken back treatment. This is
the liver treatment." Or is it just like
take this thing and it goes and de-ages
all your cells?
>> [snorts]
>> Yes is the answer. What I mean by that
is um I talked about two paths.
The first path is FDA,
which takes a decade or more.
>> Mhm. Uh
fortunately, you know, we're we're in
the clinic this this next quarter. So,
we've come a long way.
That's on its way. But there's another
path to getting this technology to
everybody and democratizing it and
making it
cheaper and available.
And that's the non-FDA path, which is
going down the consumer product route.
And just making it work like a
supplement?
It could be a supplement. Could be a
cream. Could be a spray.
It could be even an IV.
Um I guess that's not too consumer, but
but it's there are some IVs that are If
it's a natural molecule,
um you can get delivered like a
supplement. So, where where we're at now
is So, we've formed a company to spin
out the molecules that we're finding. We
have a patent already
uh that's been filed and spun out. Uh
Paradigm 88 with Serena, uh who's the
CEO, my partner.
And we are developing consumer products
that we hope that will not be 10 years,
but maybe a lot less pretty soon, that
we have
natural safe versions of the super drugs
that we're developing that will be
available much sooner and cheaper.
And it could be
something for the hair, for the skin.
Could be a drink. Could be something
like that. I won't reveal what it is.
We're developing the product right now.
Mhm. My base assumption is that if it
can be delivered in that sort of
over-the-counter fashion, that it's like
some That it's not like the
real deal. How is it possible that it
could be so effective to regrow a nerve
and yet be over the counter in an IV
bag? Yeah. Well, we're not developing
something to cure blindness. That's
super potent gene therapy currently, or
gene gene manipulation.
What we're talking about here
or gene introduction. We're not
manipulating anybody's genes.
What we're talking about here is
something that
undoubtedly will be less potent.
But you don't need to cure blindness
just to regrow hair or make your skin
look better.
Or to feel better.
So, we're going to have something we
believe available that will show by
clinical trials. I'm not going to put
something out there that isn't proven to
work.
Um
that will
rejuvenate the body over time.
That will turn on the same mechanisms
that we're currently working on.
And I believe it's possible because we
already have three
molecules.
Some of those are already natural that
we can get it to work. And it works
within
4 weeks. And what do we get in the mice?
Might be
People want to know what the heck do you
see in the mouse?
Well, we don't know about the hair yet
cuz we were we were
The mice weren't [snorts] bald. But we
did see, and this was a year ago,
we gave it to the mice down their
throats for 4 weeks, and
what we saw was rejuvenation. So, they
they were better on tests of strength,
memory, um
balance. We have a We have a whole set
of tests, about 20 of them, that tell us
whether a mouse is young or not.
And based on those parameters, the mouse
was de-aged in 4 weeks. Okay. So, your
job right now is basically to tell the
AI, "Hey, here's what we've got in the
industrial strength version.
I need you to find a natural correlate
that I can do over the counter that will
work." And then you build the Done.
Done. Done.
Um we're at the stage of testing. But
yes, we have those natural molecules at
least. Okay. And are you already taking
these bad boys? Some of them?
Interesting.
Interesting. Well, I got to say, up
close and personal, you look good. Hey,
thank you.
>> You look good, man.
Keep me posted on when these become
available. So, skin, hair, Mhm. those
are the ones that we're focusing on
right now.
Uh well, and whole body for the because
it's working as a drink in the animal,
we'll we'll see if we can make a drink.
Got you. So, you'll feel better.
But, skin and hair you'll be able to
see. Right. You either have less gray
hair or you don't. That one, the hair,
is probably the most like
non-placebo zone one that you're going
to get.
Yes, and and it's by popular demand
everywhere I go. It's like, "David, what
am I going to do for my hair?" cuz it
Will they help people regrow hair or
just go from gray to color?
We
we still have to prove it out.
But, we've de-aged the skin, so we know
that the skin gets younger. The hair is
next. And the way we're testing that is
one of the tissues that we grow in the
lab besides brain and and the placenta,
not placenta, the the uterus, uterus, is
uh we're growing skin, human skin from
scratch. And you age it and then de-age
it. Yeah. Wild. Yeah, and it it's pretty
cool. Do you have
>> to see the the hair growing? Do you have
video, anything like that of this stuff?
Yeah, I could get permission. I mean, my
employer, Harvard University, isn't that
keen on sharing pictures of mice growing
human hair on their backs, but maybe we
could. I mean, if you want to talk about
a great marketing campaign, uh brother.
Like, if you're able to show, like, here
we are aging it up, here we are aging it
back down, like, people go crazy. Now,
needless to say, people are going to
come out of the woodwork and be like,
"Yeah, it's all good at first, and then
you're going to Benjamin Button or
whatever." I guess he was the opposite
direction. That there's going to be some
complication that only manifests itself
10 years down the road. Uh and the
immediate one is going to be, "Well, if
the catastrophic fail status cancer, how
do I know this isn't going to give me
cancer in 10 years?"
Well, that's why we we don't rush into
these things, and why I think it's too
early to be trying this
uh
systemically in our whole body. We'll
start with the eye and see how that
goes.
>> You said you're already taking some of
this stuff.
Oh, the natural molecules, yeah. And
they some of these molecules have been
in ancient medicine for a while, so I'm
not too worried. The safety is known.
I'm not taking anything where So, you're
saying there's sort of two grades of
this stuff. There's the
um
hardcore stuff. Is it the hardcore stuff
that's going to de-gray your hair or is
it the over-the-counter ancient herbal
Chinese medicine that's going to
de-gray the hair?
>> Out
my expectation is that we'll find
natural versions
in the tens of thousands of molecules
that have been in the human food supply.
The the right combination of those, or
maybe one, will be sufficient
to fix hair. Cuz in skin it's working
beautifully. The wrinkles go away, the
thin skin gets thicker.
>> What's the I mean, I guess you're saying
we're reaching into the black box and
we're just getting it to solve the
information problem. This isn't like,
"Oh, it's collagen."
All right. It's a lot more powerful than
that. You you hit a good point just
there.
The approach with disease and of
cosmetics up until this point is, "Let's
fix one thing that's missing or
overproduced
We're fixing everything. We're going in
and changing the biology back to what it
was when it was young, which affects
tens of thousands of processes with a
single
treatment.
It's crazy. It's crazy that it works.
It's crazy that it's so far safe.
I mean, it's a gift to humanity. Maybe
that's the best proof that we're in a
simulation that this stuff is actually
happening.
Cuz in a in the real world, you're like,
"What's the chance that you get AI and
you get age reversal? Come on." But,
it's happening.
So, whoever's watching and making this
happen, maybe
they're having fun. It's bananas.
Uh did your dad age as well as you?
He's aging better than me.
Um but
>> saying like before you came up with all
this stuff. Like, cuz if dad looked like
you at whatever 50-ish you are, then
okay, you just have good genes.
But, if this is dad looked like a normal
55-year-old,
uh there's
Yeah. more hope.
Well, my my mother
was would did better off, though she
died of cancer, but lung cancer. She had
good skin and and
not a lot of gray.
But, my father uh
yeah, he he looks like
when he was my age, 56, he looked like a
56-year-old.
>> Right. Uh
though it's slowed down. Anyone who's
seen the photos out there, he's slowed
down over the last 20 years. His aging
because of working with protocols that
you've been advising him on or
>> Well, I'm not experimenting on my dad.
He's a scientist as well.
>> Damn it.
Uh but he he listens and he takes a few
of the things that I do, about five of
them, and uh
he's he physically doesn't look like
he's aging and at 86 he's in better
health than he has been in
decades. Mhm. Uh no aches or pains. He's
If you see him walk, he doesn't he
doesn't walk like an 86-year-old. He
just climbed the Harbor Bridge in
Sydney, which is a massive thing for
anybody. And for him it's no big deal.
Actually, Serena and I, we did like
20,000 steps around the city before we
climbed the bridge. Mhm. And at 86, most
men are in in the ground or
Yeah. gone.
Um and my father's run out of friends
his age that he can hang out with and go
for walks cuz they're all very frail.
And he's like, "What's the what's the
big deal? I got nothing wrong with me
and I'm going out every night."
>> Mhm.
So, you know, it might be coincidence.
It's a N of 1, which is basically you
can't draw any conclusions.
>> Sure.
But, like you say, he was old at my age
looking. He'd lost his hair. It was all
gray
in his 50s, 60s. But,
physically, he hasn't changed since
then, since he started working on it.
Which is about 25 years of work. Mhm.
Well, if it if you can regrow hair,
you've got a monster hit. If you can
de-gray hair, you've got a hit. Uh and
man, if you can make especially women's
skin look younger, ooh buddy. I'm really
optimistic that we will have a new
approach
to cosmetics. Like, what products out
there? They all say they de-age skin,
but which ones like permanently de-age
skin? None.
And you might you might question
>> you're saying it permanently de-ages it
if you keep using it. Cuz my
understanding was uh that you have to
pulse this stuff so that as you use it,
it de-ages, but then it starts aging
again, then you use it again. Right, but
it's not like uh collagen or or
moisturizer where a week later, you
don't see it. Or Botox, which is gone in
months or whatever.
What we see in our studies is
in the case of the mouse, we cured its
glaucoma, it could see again.
And then it wasn't for another third of
its life that it lost its sight again.
But, the good news is we could turn it
back on again. So, the timeline for us
is
you you treat
and then you treat maybe 5, 10 years
later, and you just keep treating. And
the treatment is interesting that we've
engineered it so that you don't need to
get an injection every time.
You just take
a drug to turn on the genes and de-age
the eye or de-age the body.
Um and that's a proprietary system. And
it's we used a a molecule, doxycycline.
Um it's used to treat Lyme disease, but
we're using it over a matter of a few
weeks, or really 6 weeks, to turn on
those three genes, OSK.
And uh so, really the de-aging comes
down to one shot
and then antibiotic treatment for as
often as you need it.
And is that
uh an
altered variation of the antibiotic or
literally, if you want to de-age, go
take Lyme medication?
>> Yeah, it it is the drug, and we chose it
because it was well established as a
gene inducer, the way it was engineered.
Ideally, we want to change that and get
away from
an antibiotic cuz of course, you know,
you want your gut bacteria.
>> Yeah, I was going to say, my wife has
been hammered from too many antibiotics.
>> Yeah. That said,
um it was the most reliable system.
And if it works, we will engineer a new
system, but we know we need to make sure
it works. If it fails, we're going to
set the field back by years.
So, we've got to make sure it works.
Then we can use something else to turn
it on besides doxycycline.
That said, you know, if if you're a
paraplegic
or you've lost your eyesight,
you'll take some probiotics, right, to
restore your gut. Yeah, yeah. Wild.
Okay, um talk to me about personal
protocols. When I take a molecule,
I see what happens to me before I take
something else. I'm very scientific
about it. So, it's taken me 25, 30 years
to get to the point where I'm taking a
set core set of things, and I know what
each one does and in combination taking
a lot more simultaneously. And when you
do that,
it's impossible to know exactly what the
interactions are,
what's affecting what exactly, right?
So, it's it's different, and so it's
hard to figure out if you take
something, what is the effect of that
molecule alone, which is the way science
is generally done. Now, do you trust
that like if I could run a similar
protocol in terms of being able to
afford it, if I were to go that crazy,
are you like, "Yeah, if you're taking 80
things, but you're looking at these 36
biomarkers or whatever, if those
biomarkers are going in the right
direction, I can't tell you which one of
the 80 things is actually doing the work
or what combination, but yeah, those are
the biomarkers, go for it." Mhm.
Well, I I want to be cautious because
there could be long-term negative
consequences that you can't see with a
blood test.
So, first of all, it's
it's not for everybody. It does require
doc- doctor supervision and testing.
Otherwise, if you start taking that
stuff, you could react very badly. Uh
you can measure the rate of aging by
looking at how these metals change over
time.
And um
it's called a DNA methylation clock, if
you want to look it up. I would say that
there's not one clock to rule them all,
uh but we also
it's still an association. We The
association is never conclusive in
science.
>> Sure.
Association though,
mostly from my good friend Steve
Horvath, who developed these clocks
originally,
he found that
people with slower rates of
of change in those clocks or had
less age in those clocks tended to live
longer and have fewer diseases. That's
pretty good, but we don't know if
changing the rate of your clock midlife
makes a difference. Probably. Right. But
that's I got to you know, you're you're
very rigorous in what's and
what's not, so I'm being very careful
about delineating what we know and what
we don't. His major assertion is I'm
slowing my aging down because I believe
that AI on a long enough timeline is
going to
make it so that humans can live forever.
Do Do you see a stopper in biology that
will make that impossible? Obviously,
nobody knows how to do it yet, but do
you see anything where it's like,
because of that, there's no way we're
going to be able to do this? Or to you
is it just I don't know?
It's in between. And now,
I'm not a kind of guy that that I'm not
stupid. I don't want to bet against Ray
Kurzweil too much. He's been right a lot
and he's talking about sing-
singularity. Do you remember the day?
It's in the mid Uh 2045, I think.
>> Yeah, it's something like that.
Now, I'd be the happiest person on the
planet if
if our stuff works and we can
live forever,
that's that's
not a bad day.
But I But I think that
being at the the forefront of this
change, there is something that concerns
me
that may prevent us within that time
frame
of becoming,
you know, living for a thousand years at
least. Immortality I think is
is so
far out there. I think it's better to
talk about is there going to be a small
change of 5 years or is it going to be
hundreds of years or a thousand?
And one of the problems with aging is
that there are two types of information.
There's the metals, which is the
epigenetic information, and I know how
to reverse that 75% multiple times.
Probably eventually
it'll, you know, we'll lose information
eventually. There's there's no way it's
100% rever- you know, pure reversal.
So, there's noise in the system, even if
I reverse it.
Um but where we're not very good at
reversing is the genetic
information loss, right? Epigenetic is
cool. There's a backup copy. We found
that.
But there
if you've lost both copies of the gene
for X in a cell,
there's no backup.
All right? And so, trying to do that for
those cells is very difficult right now.
We do know how to edit genes. We can fix
genes.
But doing that
on a cell by cell basis is beyond
current imagination and technology, even
imagining technology to do that. Mhm.
But you can't just flood the body with
stem cells or whatever.
Not currently, no, cuz the stem cells
that people inject,
they stick around, but they don't find
their niche. Um you know, you can't yet
cure
gray hair as far as I know by injecting
stem cells. And the reason is you have
to get them into that
very small mac- almost microscopic niche
hole where they sit.
>> Right. So, no, not yet.
But hopefully someone will come up with
either type of stem cell or a type of
gene therapy that can go into a cell,
figure out what's missing or broken, and
correct the genome,
and then, you know, my stuff will come
along and reverse the epigenome. And
then I can imagine living thousands of
years because I can imagine it. People
say, "How thousand years? That's crazy."
The reason that I think it's doable is
there are already living things that
last that long.
Why? Because they have very stable
information.
There's a plant in the Namib desert that
lasts for It's been around since the
pyramids, some of these plants. Whoa.
And when you look at their genome,
they have a very special
genome that protects the information and
preserves it for thousands of years.
We lose our information pretty fast. We
kind of lost a lot of our information by
age 80.
Whereas these plants and somewhere in
between a whale preserves information
even better than we do.
Mhm. It's incredible.
Okay, give me one um prognostication.
Where do you think this goes in the call
it near term? So, what are we looking
at? What changes will we actively
experience in the next 3 years?
And then um I'll really give you some
wiggle room and tell me what it looks
like 20 years from now. The next few
months are critical.
Um I'm going to find out
if this gene therapy I shouldn't call it
gene therapy. It's more of a a gene
introduction. The age reversal
technology, if it works in people,
um
the world will probably find out
a year from now.
I'm going to be sworn to secrecy.
I'm not even going to be able to wink.
It's that important.
But I'm going to know in a few months if
this works. Wow.
But anyway, let's say a year from now,
everyone knows that that it works. This
is best-case scenario. And again, it's
I think 80-90% chance.
Then the world goes nuts. That's a chat
GPT moment for biology, for aging.
Cuz we've got it to work in humans.
Now, the question is, now what do you do
with that technology? There's going to
be a a gold rush.
Already there are billions of dollars
um
spread across my company and others,
competitors.
Sam Altman's company, uh Brian
Armstrong,
uh
even uh Jeff Bezos is in this. Mhm.
There's going to be a massive gold rush
to try and catch up,
to break my patents, to get around them,
and to treat other things besides
vision.
And just like AI is now,
uh what is it? It's only 3 years since
chat GPT came?
>> Yeah. It's crazy. Crazy. So, there's
going to be that kind of a momentum, if
this works, where the world will just be
listening to every result, every pundit
on this topic.
That's my prediction for the short term.
In 20 years, I think that whether I'm
successful or not, we're still going to
have somebody achieve what I'm talking
about. Mhm.
Um and it could be age reversal for many
organs.
And
again, there's billions of dollars put
to this, so it's Does everyone just look
25? Like Oh, I see. What What does that
actually look like?
It's possible that my father, who looks
86,
could look like us after treating
himself for a few months.
>> That's wild. So, you think though it's
shave maybe 30 or 40% off your life.
It's not you go back to looking 25.
Because like fat storage, the type of
fat, where it's stored, all that stuff
matters. It's not just skin.
>> Exactly.
So, I'm I'm
hedging my bets here saying that he's
going to look middle-aged.
>> Right. So, it's going to be far more
complicated. It's not like
um
you take an IV drip and like uh Death
Becomes Her, like her boobs get perky
again and her ass tucks up and her skin
changes. It's not Yeah, it's not going
to quite be that
We don't know. We really don't know.
I've seen nothing to suggest that that
would happen.
It's just
We're at the beginning. We're at the
beginning. It'd be like asking again the
Wright brothers,
you
do you imagine that there'll be a
Concorde jet that can fly around the
world? They're like, "Yeah, of course."
But we're still building the Wright
flyer right now.
>> Yeah.
So, it's coming, no question. We We
We've We've shown the biology is there
and we can do it.
But it's going to take some work to get
to that
kind of a molecule, I think. Mhm. We can
take a pill and truly regenerate our
entire body back to being 20.
You know, that said, you do want to
stick around cuz this technology is
coming. And if you start early,
now, eventually, imagine the the drug
uh
I don't know if it'll ever be over the
counter, but imagine that it is. You can
go down to your local store
and get this stuff. It might be $5 a
pill. I don't know. Something like that.
And start when you're 25.
And you just stay 25 for a while. Mhm.
For a long while.
All right? De-aging my father from 86 is
much more challenging than starting at
25. Mhm.
Yeah. Hurry, please.
Okay, so given that we've got to buy
ourselves a little bit of time while the
technology gets finalized, proven, all
of that. Um how should people be
approaching their health with things
that they can do right now today? But I
I want to start by saying um I do some
experimental stuff and some regular
stuff. Um so, what what I'll tell you as
much as I can tell everybody.
Um
one of the reasons that I'm starting
restarting my podcast is because every
day, literally, on the street people
say, "When's your podcast starting?"
>> Yeah, brother. It It is about time.
Yeah, thanks. I've been busy working on
these drugs. But now that they're in the
clinic, Yeah, yeah. I've got the time
now.
You know, the future is set. It's going
to happen or not. So, I want to start
ed- re-educating everybody about what
have we What's happened
uh recently that everyone needs to know
about.
And uh so, that's coming. We're just
start editing now. So, that's exciting.
Very exciting.
>> And it's new and improved. So, you'll
see.
Um
Also, I just want to remind everybody
that
uh
the stack that I had when my book came
out in Lifespan,
the book still
true. I'm still taking what's on page
304.
But I've added a few things which can
we'll talk about.
All right, so let's start with the
fundamentals that my father takes and I
take and we've been taking them for over
a decade. So far so good. I'm still
alive, he's still alive.
Which is good. When we started taking
them by the way, people said, "What are
you taking that stuff for? It's It's not
known." All right, so
now 10 years later.
First one is NMN.
NMN, do not confuse with N with M&M's.
All right, that will not make you
smarter.
>> Yeah, and I I heard your podcast about
sugar the other day about sugar.
>> Me neither. No.
Um
And we should talk about what to avoid
actually. But what you should
consider taking what I've started taking
with my father is NMN. And I take a gram
of that as capsules every day.
And you just want to make sure it's
really pure.
Um it should either taste slightly sour
like a Sour Patch Kid if you're in the
US.
Um or there's a form of it that tastes a
bit like
sweet popcorn. Do you have a Well, say
more. Do you have a brand that you can
recommend or is that weird given your
position?
>> Yeah, you know what happens Tommy is if
I mention a brand it's all over the
internet. Now I'm used to sell millions
of dollars of product. Yeah, yeah. It's
not fair to to anybody.
And even if I don't mention it, my name
is all over the products as well.
>> So I don't want to endorse product, but
I will guide people to say look for GMP
pure.
And you can look for it. It should be
pure white. If it's not pure white, it's
not pure.
And it should taste like those two
things. And that that's the best thing.
Uh but I won't mention brands.
Um I I don't want to be lumped in.
Already people think I sell supplements
for a living which is BS. And I don't
want to make that worse.
I'm I'm just a scientist
developing medicines.
>> Yeah, but you're you're on the internet.
Welcome. Well, yeah, you and I know how
AI is getting crazy. It's a wild. I can
only imagine how many AI David Sinclairs
are out in the world. There there's a
number and and the the biggest one where
there were millions of views got taken
down last week, thank god.
>> Thank
the future. So everyone listening be
beware of fake versions of me giving out
health advice. So lifespan.com
and the Lifespan podcast is the
original. It's going to be real.
Uh
So there's NMN. Next one is resveratrol.
That's the a staple of mine for
15 years. Resveratrol's that red wine
molecule. Mhm. But I don't drink red
wine anymore. Serena told me it's better
not to drink and I don't.
>> Yeah, and you don't drink alcohol
either. So it is smart. Um I'm not as
funny as I used to be, but
but I do have mental clarity like never
before since my 20s.
>> it's rough. I love alcohol. If it was
uh optimizing me, I would do it all the
time. It is very enjoyable, but alas.
Yeah.
So what you want to do is take out the
molecule without and take it without the
alcohol which is what I do. I take a a
small spoonful. It's It's about
a gram of resveratrol. Again, look for
white or slightly gray.
If it's brown or brownish, throw it
away. It's contaminated with other
stuff. They can give you diarrhea. Fun.
Yeah. So there's plenty of resveratrol
out on the supplement. And again, look
for 98 99% pure stuff. And I mix that
with something that dissolves it because
it If you put it into a cup of water,
it'll sink to the bottom and it will
just go straight through your tract.
Most of it you will not get absorbed.
You can increase that fivefold by mixing
it with either olive oil or a bit of
yogurt.
>> Mhm.
Um
I I do either. Is it fat soluble? Is
that why?
>> Yeah, yeah. It's It's like brick dust.
Yummy.
>> Otherwise, yeah. So most people don't
know that. And even clinical trials that
have been done on resveratrol have
failed because they just gave it to them
with water.
Interesting. Yeah, all these little
details matter. Yeah.
>> Okay. The third thing
>> [snorts]
>> is a glucose-lowering medicine.
Interesting.
>> Or supplement. Why not just eat low
sugar?
That too. The combination of
>> don't do it or even if like me, my
glucose is low because I am
I'm a disciplined freak and if I decide
I'm not eating something, that's that.
Uh so my glucose lives in the mid-80s.
Um you're saying even there I should
take something to push it down even
more?
Um well, mid-80s you you could go
slightly slower or lower, but um
I mean, if it was
uh
fasting 80
No, I don't fast at 80. If I'm fasted,
it's
mid to low 60s.
>> I see. Okay, then you're good. It might
actually be
you know, it might be too much for you
to take one of these things. You might
get hypoglycemia. Though that's not
common.
Um I on the other hand have diabetes in
my family and without
a very strict diet and one of these
medicines, I'm I'm probably going to be
about 100.
Really? What are you eating?
Um
and then fasted, it's better.
>> hold on cuz you're like super veggie
forward, right? Yeah. So you're probably
intaking a lot more carbs than I am.
Yeah.
I Well, I don't know exactly your diet,
but I am taking a lot more vegetables
than I used to.
Um for health reasons, but I'm
taking in the plants because I want the
polyphenols in the plants as well as
part of my diet. Which meat does not
have. Okay, give me percentage of total
calories over a year, meat versus
vegetable matter.
95 plant.
>> Wow, okay.
Yeah, and I I changed to plants because
Serena is actually vegan and I tried it
and within 30 days inflammation in my
body came way down
>> Mhm. and glucose came down actually.
So but I was I was I had a bad diet
then.
>> C-reactive protein? What were you
measuring for the inflammation?
>> C-reactive protein was the big one that
came down, but I'm also measuring things
like TNF alpha, IL-1 beta, IL-6.
>> Yeah, see what CRP is a good way to get
it down is to
to cut out I cut out dairy uh and I cut
out uh meat for a while. I still
occasionally eat meat. I'm not total
vegan anymore. Yeah, yeah. Um 5% over a
year, that's not a lot.
Okay, cool.
Um I will say that I'm I have an
advantage which is that uh
Serena is in LA and I'm in LA a fair
bit. It's great food in this city.
Boston, not so much.
Um but I also
I can afford good food. So I buy the
best quality foods, fresh, organic, good
restaurants that cook don't overcook the
food.
>> Listen, my wife and I eat from a vegan
restaurant routinely. I just put meat on
it. I'm not kidding. But their stuff is
so flavorful that I'm like
give me more. Yeah. But I got to add
meat. Yeah.
Uh so the drugs that the drug that
people typically take is metformin. Mhm.
I think that's pretty well known. And
you can get that online or from a
doctor, but it is prescription. You need
to talk to a doctor and you want to
monitor your blood glucose levels
accordingly and your liver. Now from
other podcasts, you you go on and off
metformin. You don't stay on metformin.
>> I
I do couple of things that's worth that
are worth noting.
Uh the metformin that I get in the US
wreaks havoc on my stomach. I'm one of
the 40% of people that have a stomach
upset.
The stuff that it um
I don't get from the US, let's put it
that way. Um
when I'm
acting like an Australian for example.
Their their version is
coated and I don't get that problem.
>> Mhm. So that's actually one of the
reasons that I I I changed from
metformin to this other more natural or
totally natural form called berberine.
Okay, same idea though? Yeah, berberine
>> over the counter? Yeah, yeah. I take
Serena's supplement um cuz I can can
trust her supplements being pure.
And um but yeah, berberine has been
shown clinically to reduce blood glucose
very similar to what metformin does.
So those are the three big ones.
Um
You good with those? Yeah. Yeah, so my
father's on that.
We recently added a couple of things to
my father's regimen. Not we, he did.
Uh one is nattokinase which is an enzyme
that comes from
fermented soybeans. Just like powder
form it? Uh it's a capsule powder, yeah.
Okay. I have cardiovascular disease in
my family. Okay.
And my father also has cardiovascular
risk. Do you have a marker that you look
for? Do you Are you getting ultrasounds
or what are you doing?
>> I'm getting uh
And actually I [snorts] want to qualify.
If you get really really low
uh LDL-C, you can also reverse some
plaque. So it's not the only thing, but
it's the most natural way.
And uh yes, so I get carotid ultrasounds
and look at the
um in IMT.
You know about that?
>> No.
Um Not by that name. I know about that.
>> Yeah, so that that measures the
thickness of the wall of the
>> flexibility and all that. I've had my
arteries scanned before, years ago.
Uh how often do you do it?
Yearly. Okay. And have you seen an
improvement or it just stays steady? Not
yet cuz I've not been on it for a year.
Got you. Okay. Report back. Yeah, yeah,
I will.
Good. Um so there's nattokinase. I'm
also taking
um half a gram of niacin, vitamin B3
these days cuz I have high levels of
something that everybody should measure
called LP {parentheses} little a.
Okay, what is it?
>> it is a lipoprotein that carries
cholesterol in the bloodstream and is
thought to be responsible for the the
deposition of cholesterol and
um inflammation in the artery. Oh, okay.
And it was first found just by
association. Uh people with high levels
of this lipoprotein LP little a
were susceptible to cardiovascular
disease, but over the last 10 years,
it's been
steadily showing that people with high
levels
are really at risk in as much as having
high LDL-C levels. Interesting, okay.
And uh so much so that there's a lot of
money being spent in the pharmaceutical
industry to make a drug that will lower
LP little a levels. Of course.
>> And there's one that's in phase three
that looks promising. Mhm. Um but I'm
one of the people and my father is
because of our Ashkenazi Jew heritage
that we have
a version of the LP little A that is
highly expressed. So my levels were 34
and you'd want it to be more like 10 or
less.
>> Yo.
So I immediately increased the levels of
the statin and I know there's pluses and
minuses for statins but I've been on a
statin successfully since I was 29.
What?
My
>> Wow.
>> had a stroke at 30.
>> Bro.
>> that I'm still alive is is good news.
>> Jesus. Yeah.
Uh was this like a stress-induced? Was
she like in World War like what are we
talking about here?
>> Might be that. Yeah.
>> Cuz 30's young.
>> She well she didn't have a very healthy
childhood cuz she grew up
um after the depression in Hungary. Then
there was the Second World War where her
part of our family was wiped out. Yeah,
she Ashkenazi as well? No. We haven't
been Jewish for the last four or so
generations. But I recently did my
uh family tree and can trace could trace
back a thousand years. Oh snap. So I'm a
a dis- one of probably many descendants
of
uh some of the most famous rabbis uh
from the Middle Ages.
>> Hm. Didn't know that till this this uh
season.
But anyway, the the the point is that
gene coming from that line makes me
highly susceptible to heart disease.
And I've had to fight it since I was 29.
A statin though, doesn't it make your
[clears throat] joints hurt and stuff
like that? Like I hear horror stories
about statins.
Not for me, no. I I of course make sure
that I'm okay on a particular drug cuz
we'll react differently. And for me, the
statin's been great. It's not for
everybody of course and there are
actually alternatives now that are not
statins. There's PCSK9 inhibitors which
are really effective for lowering LDL
and there's more to come. The drugs that
are getting there for blood pressure,
for cholesterol uh and alpha blood sugar
are amazing.
We really shouldn't be dying from those
diseases anymore. That's wild. Yeah. And
even cancer. The prevention for cancer
is getting to the point where getting
scans, getting DNA blood tests we're at
a point where you have to be really
unlucky to get cancer. Well, I just got
cancer. So say more about that. So
uh skin cancer I have lived my whole
life with an abundance of caution around
the sun.
>> Yeah. So nobody I've been clowned on by
my wife for decades because I stay out
of the sun. I wear hats like ridiculous
hats. I've never seen you with a tan.
Bro. Yeah. So
We barely need lights in here. Yeah, so
what the Like any guesses?
Well, people can get lung cancer without
ever smoking. There there is a skin
cancer you getting skin cancer without
overexposure to the sun for real like It
can happen. For real for real? Like what
what do I how do we fight that fight?
What's the protocol? Well, so the the
the start is stay out of the sun which
you've done.
Your whole life? Bro, well first of all
I grew up in Tacoma, Washington so there
is no sun. And then here I've always
stayed in the shade. Now because my wife
is Greek and loves the sun more than
anything in this universe uh there's no
doubt that I'm sun adjacent a lot. So
I'll be under the umbrella while my wife
sun tans but I I can burn in the shade
just to give you an idea of where we're
at here.
So uh I've had to be paranoid because I
will burn so easily.
Do you have any family history?
>> My dad has had skin cancer multiple
times.
>> I did your genome have you have you done
your genome? No. See cuz you could be
susceptible in some ways.
>> Well, apparently I am susceptible.
>> Yeah and and that's another good reason
for getting your genome done if you can
afford it.
Um it can really make sure that you do
the right thing. Now besides staying out
of the sun, you can also with your diet
uh
maybe not prevent but reduce your
chances of getting certain types of
cancer including skin cancer. Like? I
thought you'd ask.
>> Are we in the avoid mechanism here now?
You said we should talk about what to
avoid.
>> sure but that's that's easy stuff.
>> where we're headed with skin cancer or
am I taking something else?
>> Say more. So the polyphenols in plants
one of the reasons I take a lot of
plants especially colored ones. Serena
says take eat the rainbow.
>> Isn't there a ton of polyphenols in um
olive oil? Yes. Okay. So olive oil
>> Most olive oil ever.
>> and green tea matcha the the thick dark
green stuff with matcha
>> but maybe I should. Okay. Those are
highly anti-cancer. Hm. And they're
preventing DNA damage. They're reducing
inflammation that all can drive cancer.
Interesting.
>> Yeah. About to go hard on matcha then.
So we do Serena again you can tell
Serena played a big role in my life.
The the matcha we drink every morning at
least one.
And I don't drink coffee much anymore
instead.
>> Hm. And then throughout the day I'm
drinking
tea and eventually caffeine free tea at
after lunch. But I'm always with liquids
and the matcha's been a great change to
my life. And I don't own shares in any
matcha companies by the way. But I do
love it. And so the the kind of foods I
mean there are some good books about
that about how to eat to prevent cancer
or treat cancer as well.
Um and if you do have cancer, look into
it.
We talked about ketosis and uh drinking
ketones.
Those are They have anti-cancer
properties? Yeah, there are certain
types of cancers.
So cancer loves sugar just like the
brain. Yes.
But they don't just like the brain but
not like the brain they don't like
ketones. So what
often is recommended for someone I'll
give you an example. My neighbor
developed prostate cancer. Hm. Uh very
common in men of course. Most of us
my age we have something coming along.
We uh
he went immediately and he was he's an
expert. I say was because he's not
around anymore. Oof. But he specialized
in oncology. Oh god.
>> And he immediately went on a keto diet.
>> Yeah. And took loads of metformin.
>> this back at Quest. Yep. Uh-huh but he
died. So the punchline here is not great
unless he was hit by a bus and totally
unrelated to the prostate cancer.
He didn't die from cancer. Really? What
he die from?
I don't know if I should say but it it
I'm too curious now. You got to say. It
was depression. Really? Oh Okay.
Yeah. Secondary effect of the cancer
though like the treatment's grueling.
>> what happened to him and of course
I haven't mentioned his name so I think
it's okay to
talk about it.
Um he was on testosterone
therapy anti-testosterone therapy which
for men
is uh is tough and um
he lost libido, he lost will to live.
It was the middle of
>> And coming off of it? No, while on
the drug uh knocking down the levels of
his hormones so that the tumor wouldn't
thrive.
>> Right right right. Because that he lost
his manhood.
>> Jesus. And went into depression because
of it's common. Ugh.
Um and it was the middle of the pandemic
too. Oh god. So he didn't he didn't
choose to stick around. Yo. That's
rough.
Okay.
So on that note, yeah do what you can to
prevent cancer. Get yourself scanned.
Have you got that? I well I've obviously
now I get visually scanned routinely.
Um
but no I have not done the like full
body. I'm waiting for Peter Diamandis to
open his LA branch. He's been trying to
get me out to Florida or wherever the
other ones are which now obviously when
I got the skin cancer I was like damn
it. Uh [snorts] Well well get get that
scan for sure. MRI scans are good. Uh
Serena and I get one of those every
year.
Um and that's full body. It won't pick
up melanoma most likely cuz it's small.
So you do need to be visually scanned.
You can either get that done by your
physician or by a machine.
>> melanoma. Melanoma I would have been
like this is a diet problem. This was
another one I forget what it's called.
Uh but they say this is from sun
exposure. Oh so it was on a place which
is exposed then. Yeah yeah, it's on my
face.
That's good. That's probably yeah.
That's good? No no no, that's not good.
I don't think I said that's good. I said
that [snorts] makes sense. That it was
on your If I said that's good, I didn't
mean that.
It's all right. I'm glad that's
consistent. I'm happy for my No. facial
But it's gone now and I can't see any
>> It's yes, it's gone. Now. Did you
Is it okay if I ask you about it?
>> Yeah, I'll go crazy.
>> Did you treat it with any cream? Uh no.
So we looked at that option and it was
going to be like three weeks of open
sore on my face and then may not work.
And so they were saying listen, you
should just get it removed.
And then I was like I don't trust you. I
need to go get another opinion. And so I
went and did like a deep dive on like
what are the pros and cons.
And given that it itself can leave a
scar because it's basically like
chemotherapy topically. Hydroxylurea. So
I was like uh
so I said let's just go to the one
that's like 98% cure rate. So sorry. So
I did that and Yeah.
>> So far so good. So Okay, good. Yeah,
this cream is is tough. Um
Yeah, it's it's probably 5-fluorouracil
which gets stuck
in the replicating strand of DNA and
kill cells that are dividing. That's
wild. Yeah. Actually my father recently
for the same [snorts] reason
uh skin cancer on his head his bald head
put the cream on. Um so yeah if you if
you are losing your hair
>> go okay?
>> Be careful. Wear a hat. Yeah.
>> went okay but you peel and [snorts] it's
you know it's not good. Did it get rid
of it?
Um
he had a surgery as well.
>> Yeah, see that's why I was like I don't
want to do the one-two punch. It's like
if I'm going to have the surgery they
should just do the surgery. Yeah. But he
he also put the cream on everywhere
because Just in case to like get some
early stage stuff.
>> often done. God it. Uh and a friend of
mine did it all over his face. It was
like a
burning your face but he had a few and
just to try and get rid of what's what's
left, they do that in case there's
little ones that you can't see. But I
I'd recommend you do a blood test as
well.
I've done the blood test.
>> Yeah. And the great irony was like, I
knew I it had already been diagnosed,
like I'd had the biopsy, and so when I
got the blood test back it was like,
"You're fine." I was like, "Well, then I
know this thing isn't 100% cuz I
actively have it right now." Yeah. Well,
that's that's also something that
everyone should know is that these are
adjuncts that these tests these blood
tests
if they say you're cancer-free, doesn't
mean you're cancer-free. It means you
don't have anything that we know how to
detect.
>> Yes. Yeah. And there's
also false positives as well. So,
I you I use the test as a warning sign,
not as a diagnosis. Very smart.
But still, if you can afford it and you
really want to put money into your
health
rather than
I don't know what toys, then it's a good
way to invest. Get get the full body MRI
and get a blood test for cancer. And you
may miss something,
but you may pick something up as well.
But there there are also probably
doctors who are listening to this
saying,
"Great, everyone's going to go out and
get an MRI and find that they've got
some disease that isn't real."
There is some truth to that that you on
an MRI you can find things that are not
going to kill you.
And you might want to investigate.
My personal view about that as a
scientist, not as a doctor, I'm a PhD,
is that more data is better in biology
in in health. And that's why I science
the out of myself
and
I'm also a guinea pig that I I want to
learn and educate.
But I don't want to shy away from
learning something even if I find a
false positive.
You know, I'll I'd rather not live in
ignorance. Yeah. No, I'm with you on
that. And then you get a baseline. So,
my baseline over the last few years has
been perfect health.
But if something changes, AI will the
doctor will detect it.
So, it's better to get a baseline before
you're sick.
In my view.
All right, you just gave us a bunch of
stuff uh that we should do. What about
the things we should not do?
Uh well, the easy ones are if you smoke,
please quit. Uh my mother did not and
she is no longer with me and she would
be if she didn't smoke.
Do not deny I'm I know you don't smoke.
I never have, but don't live in denial
that you'll be one of the lucky ones.
It's
the best thing you can do for your
health is to not smoke.
You'll age prematurely, too, and you'll
look like at my age.
Uh drinking.
Occasional drink, okay, but don't drink
consistently. I was drinking red wine
every day.
That was too much.
We know that people who drink even just
one glass of alcohol a day tend to have
smaller brain size.
>> Oh, that. Yeah. There's scatter in
the plot.
Not everybody's has this, but the trend
line is down with the more alcohol you
drink. And the more you drink, the
smaller your brain will be.
No, thanks. Yeah, so skip alcohol,
smoking. Um
sedentary behavior. We're all prone to
it. We're doing it right now. Get a
standing desk at a minimum. Walk, take
the stairs.
>> desk. And if you if you if you can run,
lose your breath three times a week at
least. Um
I don't care what kind of exercise
you're doing.
Right?
>> I can think of some fun ways.
>> There are fun ways and you only need 10
minutes.
>> [snorts]
>> You don't need to be a marathon man.
>> Perfect.
Yeah.
You're like, "Is two Is two Is two
minutes enough?"
>> [laughter]
>> But 10 minutes will be fine for us. And
uh you know, even if it's a rowing
sport, it's all great, but lose your
breath three times a week if you can.
Uh I joke that uh I my exercise is
running to the terminal to catch a
plane.
It's kind of like that and that does
make it difficult, but um got to move.
Got to move. Don't sit. And at at work,
if you come, I hope you come see me in
the lab, I'll be at a standing desk most
days. And people on Zoom think that I'm
floating in space cuz I'm doing this,
but I don't I'm not still throughout the
day. I even hold meetings while I'm
standing. I just pace around and they
think I'm crazy, but
sitting is is the new smoking as they
say.
So, those are the the big uh do nots.
You left out one that I think is
mahoosive, which is sugar.
Thank you.
Um I've For me, it's just a way of life,
so that's why I didn't think of it.
Um I avoid sugar like the plague like
you do. I think of it as a toxin.
It's not really a toxin, but long-term
it is. It will attach physically.
Glucose will attach to your proteins.
HbA1c, that's a prediction for diabetes,
right? If you go if you probably know
this, not everyone knows, HbA1c is what
your doctor tests for diabetes. That's
literally glucose attached to your
hemoglobin as a bellwether, as a canary
in the coal mine for glucose attaching
to all the proteins in your body.
You don't want that. Glucose attached to
proteins will make them dysfunctional
and
who knows what else is going wrong, but
we know that that causes diabetes.
Glucose also will
give you a spike. It'll give you
you know, a real high initially, but
anyone who's worn a glucose monitor will
know the consequences. You will have a
crash,
brain fog, hunger, distraction.
Whereas if you don't eat sugar, you have
this steady flow of glucose coming out
of your liver through gluconeogenesis,
which is the term for making glucose
naturally.
Uh [snorts]
and my liver is much smarter than my
mouth. It will make pure
minimal amounts of glucose that my body
needs
and supplement that with ketones by
drink and it's it's bliss. I power
through the day. I rarely get tired. If
your kids are eating a lot of candy,
please give them something else. No
joke.
>> Right? Cuz By the way, kids' epigenomes,
the the methyls on their body on in
their cells,
those marks are laid down during the
teenage years as well. And it's known
that kids that eat badly will have
consequences decades later because of
this memory in how the genes are turned
on and off.
>> Yeah, interesting. And kids today are
aging faster than they used to.
>> That is not a surprise.
>> And I think it's because of the diet.
Yeah, no doubt.
>> And it's no surprise that girls are
getting
fertile more more earlier.
>> That one is distressing. Because they're
getting older earlier.
We are aging our children.
>> Interesting.
And it starts at birth. Is aging
actually aging begins at
the week second week of conception.
>> Yeah.
So, we we we're not immune even when
we're in our 20s and we eat pizza and
you know, a lot of us experiment with
drugs and alcohol,
that's aging us and you feel it at our
age.
Thankfully, I didn't do drugs and
alcohol, but I did a lot of junk food.
Yeah, I'll tell you that. Yeah.
Woof. [snorts]
All right, man, now that I've got you,
is there anything else, any parting
shots you want to leave people with, a
super secret thing that they should be
doing or know about, pay attention to,
anything like that? Um
there's there's sleep, but there's a lot
of experts on that. Make sure you get
good deep sleep. Deep sleep will clear
out the proteins in your brain that you
need to get rid of.
Um
including probably the Alzheimer's
protein.
Um A beta.
Uh another thing that would be important
to mention would be that
stress in your life is a killer. Yeah.
And it's difficult.
>> my life, for sure.
High achievers are the worst.
And
if you're a high achiever, and I I am by
choice trying to be a high achiever,
I spent the first 50 years of my life on
edge almost every day.
Even if I'd go for a walk in the forest,
I was thinking about the mistakes that
I'd made the day before. That kind of
guy in the shower, I'm
I'm swearing to myself, "You're an
idiot."
All that is almost all of that is gone.
Again, Serena was a big influence. She
taught me how to calm my mind, not worry
about things so much.
But it's hard. It's super hard because
we are by nature many of us are driven
and we want to be perfect. We'll never
be perfect and we'll always have stress.
So, try to think about life in the long
run. Treat it like a game.
It's not that serious. It may not even
be real as we discussed. So, go for it.
Have fun, but don't worry too much. And
get get sleep cuz if you don't sleep
enough
you will have a high heart rate. You
will feel stressed throughout the day.
And I have times during the day now that
I
I breathe. I shut my eyes. I do box
breathing.
Um I've even even on occasion set an
alarm
at 11:00 I'm going to take time out to
lower
uh my nervous system down again.
And it's been great.
Very smart.
All right, we've got the podcast
rebooting. Where can people follow along
and engage with you? Hey, thanks. Uh
it's well, it's lifespan.com
and on social media you can find me. I'm
pretty prominent on
most of those platforms. I would say. Uh
I do work at that's fun. I like
educating, so I tell people about the
latest findings in science there and
what I'm doing.
Um and then I've got a
a friends of Sinclair lab to fund my lab
now that all the government funding got
terminated. And uh so, if you're
interested, check out friends friends of
Sinclair lab. org. org.
Friends of Sinclair lab.org, you'll find
me there.
Love it, man. This is awesome. Thank you
so much for taking the time. It was
wonderful to sit across from you again.
And
I could not be more excited about the
things you're working on. Fingers
crossed that they get across the finish
line. It'd be incredible. Cross your
fingers for us, really, cuz it's a it's
a pivotal year for humanity if it works.
No doubt. Thanks, so. All right,
everybody, if you haven't already, be
sure to subscribe. And until next time,
my friends, be legendary. Take care.
Peace. If you like this conversation,
check out this episode to learn more.
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