Video summary
Dr. Steve Horvath explains that biological aging is driven by measurable differences in mortality risk among individuals of the same chronological age, largely influenced by genetic and lifestyle factors rather than just time passing. His research utilizes DNA methylation patterns as an "epigenetic memory" to record long-term stressors like smoking or inflammation, which accumulate over time and impair cell function through various biological mechanisms including mitochondrial dysfunction and stem cell exhaustion. While different epigenetic clocks such as GrimAge and PhenoAge measure distinct aspects of aging—some tracking chronological age while others predicting mortality risk—they are not interchangeable tools; they target specific genomic locations and offer complementary insights rather than identical readouts. It is crucial to understand that these tests serve primarily for risk stratification similar to insurance underwriting, providing a snapshot of biological health without guaranteeing an exact death date or replacing the need for comprehensive medical history analysis.
Effective interventions for slowing aging focus on correcting underlying health deficits like obesity and inflammation rather than optimizing already healthy individuals who show minimal changes despite significant lifestyle improvements. Weight loss in obese populations has demonstrated robust reversal effects across all clocks, whereas modest calorie restriction often yields weak results depending on adherence; similarly, multivitamins can slow brain aging but may not impact hard mortality endpoints within trial durations unless specific deficiencies like Vitamin D are corrected initially. Dietary choices play a pivotal role, with vegetable consumption showing the strongest correlation to slowing epigenetic aging due to carotenoid levels that support cognitive and eye health, while red meat intake appears to have negligible impacts compared to the significant acceleration caused by smoking or the weak effects of moderate exercise alone in large population studies.
Beyond diet, lifestyle factors such as high-intensity exercise targeting VO2 max, adequate sleep, strong social connections, and even heat exposure from saunas can influence aging markers more effectively than mere walking or low-impact activity. Emerging concepts like cellular rejuvenation using Yamanaka factors show promise for resetting the epigenome in specific organs without triggering cancer risks, yet they face limitations such as incomplete reversal of all aging hallmarks and the persistence of somatic mutations that are not addressed by epigenetic changes alone. Dr. Horvath advocates against seeking a single "silver bullet" intervention and instead promotes precision medicine using multiple biomarkers to diagnose dysfunction early, emphasizing that while genetic risks have minute effects compared to daily habits like walking or dieting, avoiding severe chronic trauma remains essential for longevity alongside validated routines involving omega-3s, creatine, and stress management.
Read the full video transcript
My question as a longevity researcher is
why do you age? What drives aging? Dr.
Steve Horvath, professor of human
genetics. He's [music] got a lot of
background that has led to a landmark
finding in biio medicine, the Horvath
[music]
clock.
>> I've heard people out there talk about
reversing their biological age by 5
years in 7 months. Is that something
that you think could be a real biologic
effect?
>> It's all about prevention. If you start
with a person who was obese, had
inflammation, diabetes, and they really
changed [music] everything, it would
perhaps be possible.
>> Let's talk about the multivitamin. So,
this was the Cosmos trial, [music] and
at the end of the trial, the the people
that were given the multivitamin had
slowed their brain aging by 2.1 years.
But another area that's very exciting
[music] has to do with our mental health
and our our social relationships. This
was the biggest surprise to me and why
would that translate to changes on the
DNA molecule in blood and the great
surprise to me was
before we get started today. I just
wanted to frame this episode. My guest
Dr. Steve Horvath is really a legend and
one of the most important scientists in
the modern biology of aging. He's
someone whose work has fundamentally
changed how scientists can actually
measure aging itself. For that reason,
Steve and I go a little deep into
explaining some of these epigenetic
clocks because we have to lay the
foundation. But I promise you, after the
first 20 minutes or so, which may be a
little technical for a few of you, we're
going to get into all those practical
questions that everyone wants answered,
like, can vitamin supplements slow
aging? What type of exercise is best to
slow aging? Is there a good diet that
can slow aging? And is it actually
possible to reverse aging itself? So,
all that's coming up, so please stick
around. And lastly, I want to mention
that only about 10% of you watching this
podcast are actually subscribed to the
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just press pause for a second and
subscribe to my podcast, enable
notifications, it's really one of the
easiest ways that you can support what
we're doing here. You can support the
show, and you can help us amplify our
message. We really greatly appreciate
it. Thank you so much, and enjoy this
episode with Dr. Steve Horvath. Welcome
back to the podcast. I am sitting here
with Dr. Steve Horvath. Steve, good to
see you again. This is the second time
you've been on this podcast. You have
been incredibly influential in the
longevity field. You are the developer
of the original Horvath epigenetic aging
clock, which is really revolutionized
the way the aging field has been able to
measure biological aging. So, thanks for
coming back on the show.
>> Yeah, thank you. I'm very excited to be
here. Um, the science has evolved quite
a bit from the last time we spoke. So,
it's a wonderful opportunity for me to
talk to you and your audience.
>> I'm so excited. I mean, the last time we
spoke was in 2019, so I would hope that
there's been a lot of new exciting data
to discuss. But um you know may maybe
this the way we could start this is for
people who might be new to the field
this idea of biological aging and
explaining what biological aging means.
It's a good question. Everyone talks
about biologic age but it has so many
different definitions. So for many
people biologic age refers to fertility
issues as an example. Um, broadly it
relates to this phenomenon that people
of the same age have um different
mortality risks, morbidity risks or
people who um you know from your high
school they look older or younger than
you. All of that is in that concept of
biologic age. Um however um longevity
researchers or um geroscientists who
study aging um really um conceptualize
biological age using measurement
technologies. How do you get a number uh
for measuring biologic age and the field
has really exploded over the last uh 13
14 years. Um people have developed
biologic age measures based on
variables, step counts, gate speed,
which is very exciting. Many imaging
data um you can measure your brain age
um based on imaging for example. Um my
field is um in in the realm of molecular
markers of uh aging. Um so I work on um
epigenetic marks um and we can talk
about it later but I just want to uh um
give an overview of the field. Um there
are so many so-called genomic
technologies um for measuring anything
from gene expression proteome metabolom
glycom
really any ohm and for any readout
people have developed clocks aging
measures you know um I started with DNA
methylation um back in 2011 we published
our very first epigenetic clocks. Uh and
um why methylation? Because the signal
for aging and even mortality is very
strong in methylation. Um but when you
want to measure biologic age you really
need to look at many uh levels of
readouts molecular then um biochemical
readouts blood biochemistry
various measures of organ function
fibrosis as an example and then of
course above all functioning measures um
um V2 max gate speed and um daily level
living activities and
>> fraily frailty. All of that.
>> It's so important, you know, for people
to understand that like you you know, as
we have this chronological age, everyone
knows their age, right? This is how long
you've been alive since the time you
were the day you were born. And and the
interesting thing you you talked about
biological aging, you know, you have
this this these processes that are
happening that affect your your daily
function. They affect your disease risk.
And not everyone has the same disease
risk at the same age. And so there could
be this disconnect where some people
perhaps, you know, genetic and also
lifestyle factors contribute to them not
aging quite as good. And so they may get
cardiovascular disease earlier or cancer
earlier, right? And the opposite is
true. And that's what people are really
interested in. Let's say I'm 50 years
old, but I want, you know, the organs in
my body and the cells in my body to seem
like they're 30 years old, right?
>> Yes.
>> To be younger. And so that's why it's
exciting to have these tools that do
measure function like you mentioned I
think you know cardiorespiratory fitness
and V2 max you know frailty I there's a
lot of different ways that people are
measuring function but then on the
molecular level that's very exciting
because it's quantifying this process of
aging so I
>> yes I mean there is one key word that
has to be mentioned in that context it's
all about prevention you know so what
motivated my work was to understand
aging in people who do everything right.
For example, in you, why do you age? Um
given that you and me, we we really take
care of ourselves on we um try to
optimize lifestyle, prevention, all of
that. But something still changes deep
inside of us in our cells. And what is
it? What drives aging? And um um these
methylation clocks that um I've
developed, they they really track damage
accumulation on one way or another, you
know, because that is something that
just happens, you know, and um that
drives then um organ dysfunction many
years and decades later, you know, but
it's almost unavoidable to age. Um and
um what I wanted to accomplish with
these methylation clocks is to have a
precise tool to allow researchers to
actually identify novel interventions.
How do we truly reverse the age the ages
of individual cells of organs and the
whole organism? You know,
>> you mentioned something that caught my
attention. And you said these
methylation
clocks or patterns are able to track the
damage that occurs and and that's to me
always been a question. Is it tracking
the damage that occurs and or if you're
changing these patterns, does that
change the damage? So because you're
globally affecting, you know, the way
genes are activated or not activated,
gene expression as we call it, then you
would imagine is it like a two-way
street possibly where you're able to
increase, you know, genes that we have
that help take care of damage, repair,
you know, all these, you know, stress
response genes better as well. But I
guess we'll get into that. That's so I
think I think one of the the points of
confusion I've heard repeatedly, you
know, from from my audience and just
from, you know, in general like out
there is that people think these
biological aging clocks are just sort of
like one thing. You hear biological age,
it's like this one thing. You reverse
biological age, it's just this one thing
that's happening. But we actually have
very, you know, different clocks that
seem to be perhaps tracking or have
different, you know, strengths and
weaknesses and what they are tracking
and what they are sensitive to in the
context of the aging process. So maybe
we can kind of just can you walk us
through some of these clocks and you
know what their core strength is like
what they are tracking and perhaps even
what a common misconception is in terms
of what it's tracking.
>> Yes. So um maybe we start with the big
picture. Aging is of course associated
with the accumulation of damage on all
levels. Um the proteomic level,
metabolomic um um intercellular
communication but also damage
accumulation
surrounding the DNA molecule. these
chemical changes to the DNA um there is
an accumulation of damage and that
impairs then the cell function. For
example, certain cell identity genes
need to be active in a liver cell and
different genes need to be acting in a
brain cell and and so on. And so the
damage impairs the function of cells and
then tissues and then organs. And um
interestingly um methylation
um changes can be observed at really
millions of locations on the DNA
molecule. And um many of these changes
have actually no consequence. And by the
way, when I talk about changes on the
DNA, I talk about gain of methylation at
the wrong places, but also loss of
methylation at the wrong places. So what
is happening with aging is that methyl
the methylation landscape really
flattens out and uh conversely in a
young cell you you want to have really
uh peaks of methylation at regions that
need to be shut down and conversely low
methylation at regions that need to be
accessible you know on the DNA. So
anyways um these methylation clocks um
look typically at hundreds of locations
on the DNA that are carefully chosen.
However,
one can really look at tens of millions
of locations and um people have
developed different clocks based on
tracking changes at different locations.
And one of the great misconceptions is
to expect that all clocks disagree uh
agree with each other that all clocks
give you this one readout. Um that
wouldn't be reasonable, right? Because
you have millions of locations. So um
methylation clocks really capture again
different properties of aging. Some
clocks are very good at tracking
inflammation. Um other clocks are very
good at metab metabolic syndrome. Then
the so-called these are now second
generation clocks you know they really
uh relate to inflammation and various
stressors smoking. Um but then the
earlier generation of clocks so-called
uh first generation clocks had a totally
different goal. they just want to
measure calendar age, you know, and um
yeah, so the misconception is that
people get disappointed that two
different clocks lead to slightly
different readouts. But um the metaphor
I want to use is think of the world of
proteomics. If I told you protein one
measures the same as protein 2, you
would just not believe it. And the same
happens in the case of methylation. if
you target certain parts of the DNA,
they give you a different readout from
other parts.
>> Okay. Yeah, that's that's really good to
to kind of clear up. And um you know, I
I guess if you understand that concept,
you wouldn't want all these clocks to be
giving you the same readout because then
that would be kind of a problem, I
think. Um
>> it would be overly simplistic, right?
And most clocks were tailor made for
blood uh for the sake of convenience.
But arguably you would want to develop
special clocks for the brain, for the
liver, for the kidney, you know, and the
field is moving in that direction. So
people develop actually single cell
clocks and organ specific clocks.
>> Oh, that's cool.
>> Yeah.
>> Um so let's talk about some of the main
ones that are used. And so we have the
one that was, you know, the original
Horvath epigenetic aging clock, first
generation for chronological age, and
then you we we kind of get into these
other clocks which were first generation
and then they have second generation
versions as well. But so the DNA pheno
age um does that clock lean more towards
inflammatory and metabolic function than
pure chronological age?
>> Yeah, for sure. you know, so the
so-called pheno age clock was a giant
step forward when it came to mortality
risk prediction. Um, this clock was very
much constructed to track um really
biochemical markers and also um um
changes in blood cell composition. Um
these markers measure organ dysfunction
one way or another. And the idea was to
actually develop a methylation surrogate
of these clinical parameters. And we
should discuss the pros and cons of that
idea, you know. Um but yes, so this
clock um was then
impressive mortality risk predictor for
humans, you know. Um however, it it was
then superseded by the grim age clock
which was named after the grim reaper.
It um was published also many years ago,
2019, but it continues to be very
impressive for mortality risk. And um
from a mathematical perspective, these
clocks were constructed in very
different ways, but overall they very
often agree. you know when when you have
an intervention that appears to slow uh
grim age progression it also uh slows
pheno age progression you know so often
there is actually agreement to some
extent which is impressive given that
these clocks were constructed in very
different ways
>> can you talk a little bit about the
different ways they were I mean
constructed so with the with the grim
age you know I think it was my
understanding that there's smoking is
somehow embedded in that in that uh
calculation or you know whatever we want
to call it um
>> stress related proteins inflammation but
the feno age also has some inflammation
as well in there
>> yes yeah maybe I'll start with a much
simpler um uh example
C reactive protein um as a marker of
chronic inflammation it's a very
important biochemical readout out and um
the doctor will measure it when you have
certain conditions but interestingly you
can actually estimate C reactive protein
levels based on methylation and I should
say the estimate is not very tight for
the experts I will say correlation
maybe.3 or lower you know so it's not a
tight correlation but I want to mention
it as an example for this idea of using
methylation to estimate um a famous
marker. But now imagine you actually get
these two readouts from the lab. Let's
say you go to a longevity clinic. They
can easily measure both. But which one
is more informative for you? Now a
medical doctor will always focus on the
plasma based readout. They are trained
to look at thresholds and then they
diagnose um maybe an acute infection. Um
but but the surprising finding is that
the methylation estimate is actually a
better predictor of your mortality risk.
Far better predictor of your mortality
risk than the plasma measure. And um
that's one famous example that has been
validated. I give you now another
example smoking. So you can ask someone
how many cigarettes do you smoke per
week? for how many years have you smoked
and this is known as the smoking pack
year estimate of smoking exposure.
Interestingly, you can use methylation
to estimate smoking exposure as well and
you can ask the same question. Well,
which measure is more predictive of how
long you end up living? Is it the
self-reported measure or the blood
measure? And again, we know the answer
from many studies by now. Again, the
methylation estimator is actually
superior to self-reported.
So, I mention it because that then gives
rise to an idea. [laughter]
Well, why don't I build a clock that
uses these methylation estimators of C
reactive protein of many other famous
proteins or and also the methylation
estimator of smoking history. Why don't
I use these methylation biomarkers in a
linear combination? I combine it in an
optimal way to build a mortality risk
predictor. And this idea is underlying
the grim age clock, the grim reaper
clock. And um it just worked beautifully
in many validation studies. We now know
this idea worked. But that's really the
idea of the uh grim age clock
>> and this was from this was developed
with in your lab the grim age clock.
>> Yes by au in my lab you know pheno age
was developed by Morgan Lavine when she
was a post in my lab
>> when Morgan was on our podcast a few
years back as well.
>> Yes.
>> So why should methylation patterns be
able to predict your mortality? I mean
that's and and and I mean how accurate
is that? I mean like what's what are we
talking about you know?
>> Yeah. Um yeah the first question um why
does methylation relate to mortality?
It is a good question because when I
published the very first clocks I
remember I was extremely nervous about
what I had published. I thought maybe
these clocks have no use. maybe they
just measure your calendar age, you
know, and um and now I'm I I was so
relieved that um basically 6 weeks after
I had published it, somebody came to me
at UCLA and said, you know, we just
applied your clock and it predicts
mortality. Yeah, I was. But um anyways
um but then um by now we know that these
methylation clocks very much predict
mortality risk to the point that um um
certain startups pursue the idea of
using methylation clocks for pricing um
life insurance policies or financial
products, you know. Um and of course u
methylation clocks are used in serious
randomized control trials you know so um
the evidence is very strong and without
any debate um but why is that you know
[laughter]
and um I it could be that these clocks
really track long-term exposures of a
stressor. So for example, smoking again,
you know, so um maybe maybe if you just
smoke a bit, it uh it doesn't really
show up in other biomarkers, but if you
have an ex really this prolonged
stressor, it really alters the
epiggenome. Um why? Because the
epiggenome
creates a memory. really think of the
epiggenome as uh a memory of stressors
and it primes the cell to respond. And
you can imagine if um the cell senses
this onslaught of various stresses, it
tries to remodel its regulatory system
so that it prepares for future stress.
That's maybe one way to um conceptualize
it.
>> Yeah. And I mean we even I think the
this concept of you know the stressor
affecting the epiggenome you know we
even know it can affect the epiggenome
in gonads right in sperm and eggs and
that's why certain we have those the
studies out of Sweden where they went
through these periods of starvation like
famine and then there was feasting
depending on you know the what food was
available at the time and and I know
that some researchers had looked at how
the epiggenome had changed and that also
seemed to affect life expectancy of the
offspring as well. So, um, and then
>> yes, I think this is a study from the
Netherlands, the so-called Dutch hunger
perhaps. I'm not sure whether that's
what you meant. Yeah, that's right.
>> Yeah, very exciting work. You know that
u maybe a couple of years of starvation
could already change the gonad methylme
and that could then um lead to changes
in the offspring. So, I think it's very
exciting, but I need to tell you I
haven't worked in that space.
>> Yeah. Well, I I as far as as far it's
been years since I've looked at those
studies, but I think there were like
prepubescent boys too where it's like if
they have gone through these periods of
like hunger where they were calorically
restricted, it obviously changed their,
you know, their gonads epigenome and and
their sperm in a way that was, you know,
more permanent. And so, um, they had
offspring that were like more resilient
against type two diabetes and, you know,
other age- related diseases as well. So
I think I think they also lived longer
like their grandkids or something like
it affected their life expectancy as
well. But smoking is another one that
would also go it gets I mean that's
something that goes you know deeper
right and affects the gonads if I'm
correct. I mean
>> um yeah I need to tell you regarding
these findings I'm usually interested
and excited about them but I want to
emphasize to your audience they are
controversial fundamentally.
>> Okay. uh very smart people disagree with
these findings. Personally, I'm I'm
completely neutral. I um but I just want
you to know that
>> they disagree that the epino changes.
>> Yeah. So that um no um just to be very
precise that an exposure from your
parents for example has an effect on
you.
>> Um again this brilliant people publish
on it. And these studies go through
rigorous peer review. But I just want
you to be aware that there are uh strong
counterarguments, you know. So it
remains to be seen. I want to say
because um they um I want to think that
if your parents or grandparents
um went through severe stressors, I want
to think that you still are born with a
clean slate, you know, so that you're in
certain ways not predisposed
or doomed in one way or another, you
know. So, um
>> well, sure that would be a nice thing to
think. Yes.
>> But I mean on the bright side of things
even if there there is and I've seen you
know the I've seen evidence that
convince me that there's an epigenetic
change that does happen. Yes.
>> And in you know sperm DNA for example
like if you have an obese male and then
they lose weight like you can look at
their sperm DNA and it changes from
being obese to lean and epigenetic
changes gene expression changes are
happening. So um but even if even if
it's on the bad side, you know, the good
news is that once you're born, you can
do things in your life to change things
in a positive way too, right? So it's
not like,
>> you know, even even if you don't have
the cleanest slate. Um
>> yes. Yeah. What I want to tell you
briefly about sperm that is um yes,
there are methylation changes and also
changes with aging. So the sperm methyl
of a 50 year old is different from that
of a 20 year old. However, the changes
that occur um um are at completely
different location from the changes that
we use in any of our other clocks. You
know another way to say it is if I take
grim age or pheno age or any of my
clocks and apply it to sperm it
completely fails it. Um so for example
what is known as the Horvath pant tissue
clock you apply to sperm you get one
number 37 or so [laughter] but everybody
has the same number in essence you know
uninformative it's just very different
locations
the same statement also holds by the way
um for the placenta so people have um
developed clocks um applied to placenta
to estimate the age of the newborn
meaning gestation age or also various uh
stressors uh from the mother. But again,
these changes are very different from
what we observe in blood or um adult
tissues.
>> Have there been clocks um for sperm that
have been developed that are more
precise?
>> Yes. Okay.
>> Yeah.
>> Um I have a question about grim age, but
it it sort of leads us into the next
clock that I want to have you discuss,
which is the the duadin pace. Did I say
it right? Do I I think it's called
Dunidan paste.
>> Dun needed and paste. That's right. Dun
need and paste.
>> So the question I have is you know with
the DNA grimage we're talking about this
methylation pattern being able to
predict mortality and very you know
pretty pretty accurately mortality risk
and it's it's it's able to measure you
know this accumulation of damage that's
changed the epiggenome in a way that's
obviously you know quantifiable.
What if you're 45 years old? You get
your DNA grim age test done. It gives
you your mortality because you've had
all this, you know, lifetime exposures
up until the age of 45 of, you know,
let's say air pollution, maybe you
smoked a little bit, whatever, alcohol,
poor diet, stress, chronic stress, all
those sorts of things. But, you know,
you change your lifestyle and it gets
better.
Does that does that grim age change?
>> If you had asked me that question two
years ago, I would have humped and hard,
you know, and I was always very cautious
about that in certain ways. How
reversible are these changes, you know,
but the the science has really advanced
and now I'm confident in saying that you
can reverse grimage to some extent. The
key word is to some extent because these
changes appear to be very minor. We can
talk about it later, but there have been
very rigorous uh randomized control
trials with supplements and medications.
So, there's a hopeful message you can
reverse it.
>> So, that's what we're going to get into
folks. That's going to be the exciting
stuff.
>> Mhm.
>> So, this this this other clock that's
able to measure
>> Yeah.
>> the pace of aging. Can you talk a little
bit about the
>> Yeah. Um
>> do can you say
>> Yeah. Yeah. So there is another widely
used clock which is known as a Junedan
pace clock. It was developed by Dr.
Moffett and Dan Bellski and um it was
constructed in a very different logic
from other clocks and um the metaphor is
it's supposed to be an odometer. It it's
supposed to measure the speed of aging
or what what they call the pace of
aging. whereas um previous clocks really
measured in certain ways the
accumulation of damage. So the idea is
very compelling. Um [sighs]
maybe I just review um how it was
constructed. So um the team really
looked at rate of change in established
physiologic markers and biochemical
markers including also importantly and
we should discuss that change in body
mass index. So um um but also measures
of um waist to hip ratio. So um also
measures of uh glucose um impairment,
markers of inflammation, many readouts
and the study leveraged a unique uh
epidemiologic cohort study in New
Zealand in the city of Duniden and um so
it's a study where they tracked
middle-aged people and younger people
for many years and and assessed these
readouts repeatedly.
it um for the experts it's a
longitudinal studies and by having these
longitudinal data multiple measurements
per person they could really um estimate
the pace each person's individual
trajectory so far so good so you have
these um pace measures but then they
went to the next step which is similar
to Grimage they said why don't we use
methylation to estimate ate the pace of
aging based on these physiological
measures and I think that's a very good
idea. Um why? Because people care about
what's my current pace of aging. You
know it it actually it's a good
question. I'm I'm not quite sure what
people care about. Some people want to
know let me know where I stand right now
>> or how an intervention is affecting how
they're aging perhaps.
>> Exly. Yes. Thank you. Yeah, that's a
good point. you know, so if you have an
intervention
um you want to see does it really change
the pace? Does it affect the odometer,
you know, um and um so um therefore
people use Dunid and pace along with all
the other clocks that I mentioned in
when they study interventions. It's by
now part of the standard repertoire of
clocks. when people uh publish a paper
on longevity interventions, they
hopefully report about five clocks, I
want to say, just um in order to give
the reader a chance to judge the
evidence because the very best
intervention will touch on many clocks.
You know, that would be a robust uh
rejuvenation of the methylone.
>> In my experience from reading the
literature, that's pretty much what I've
seen. I see the main clocks that are
being used are the pheno age grimage
perhaps Grimage 2.
>> Yes.
>> Um and I see the Duadinian pace that
those are those are at least three of
the ones that are they seem to be and
then there there's a few others that
sometimes are in the mix. But um those
those three stand out to me when I'm
reading the literature maybe because I
know them the best, [laughter] but but
um those are the ones that stand out
with this disagreement. And we kind of
you kind of touched on this already. you
know, if you're if you're looking at an
intervention, and we're gonna get into
those in a minute, and you see, you
know, your DNA grim age doesn't change.
So, your mortality your when your
mortality risk is the same or, you know,
determining when you're going to die is
the same. And yet, your rate of your
rate of aging perhaps slows a little
bit. Maybe it's not much, maybe it's 2%.
Some people will look at that and go,
"Oh, these are all like if you're
changing your pace of aging, why are you
not cha changing the grim age?" And then
the question in my mind is, "Well, how
long was the trial?" You know, so if
you're changing the pace at which you
age by 2% and the trial was 6 months,
is that going to be reflected in the
grim age or, you know, what's the
standard deviation here that we're even
talking about with grim age, right?
>> Yes. I think you make a very important
point. If you have an intervention that
has a very strong effect, I would expect
that most of these clocks will show it.
Um why? Because these clocks are
correlated with each other. And um just
to throw out a number correlation five
after you regress out age, sex, and
various variables, but they still a
fairly good agreement. This is the
typical glass half full half empty is a
correlation of 0.5 high on low you know
to me it's reasonably high if you have a
very strong rejuvenating intervention
now when it comes to I I need to tell
you I'm obsessed about the question
which clock is best [laughter]
and so I
>> best for what
>> for judging longevity interventions and
>> okay
>> um yeah because when comes to mortality
risk prediction, we know the answer
right now. After several large studies,
there was a study in Scotland,
Generation Scotland, 18,000 uh people
were evaluated and Grimage was best. And
then there was a study from Harvard, I
want to say 30,000 people were
evaluated, Grimage was best. So, so we
know which clock is best for mortality
respirator.
>> Can I pause you right there? And and
that I just want to make this point
because usually when we have these
studies at least observational studies
looking at
>> diet because you'll never have a
randomized control trial that's going to
last you know 30 years. Yes or 40 years.
So if you have if you have if you're
looking at observational data and how
different lifestyle like affect or diet
and lifestyle affect mortality you're
typically looking at okay how much
seafood did they eat? How many people
died from cardiovascular disease? How
many people died from cancer right? So
you get this all cause mortality right
number and what you're saying is that
you can actually now instead of having
to just have observational data looking
at that all-c cause mortality you can
now have an intervention
we're going to give people you know you
know fish or whatever we're going to do
this intervention for a period of time
and you can have the grim age which is
kind of like this surrogate all-c cause
mortality but but it's very actually a
very good estim estimate of it. Is that
am I thinking of it a little bit
correctly or
>> Yeah, you think of it correctly and
that's certainly the ambition but I want
to be very precise uh using the language
of the FDA because I think we should do
that. So the dream of the longevity
field is to develop what is known as a
surrogate endpoint um for a clinical
trial. In other words, you have a study
where you apply let's say a multivitamin
for two years and then you see a change
in any clock. It could be a proteomic
clock, it could be a grim age, any other
clock. And let's say you see a reversal.
Now you would like to I want to call it
jump to the conclusion that this
actually translates into a a lower
mortality risk. And um this um so we we
would like to think that is the case but
from a regulatory perspective that
hasn't been proven you know and in
general the FDA evaluates biomarkers you
know um why they want to um give
guidance to companies to biotech where
they say if you show us that your
treatment reverses that biioarker
Therefore, we believe that it actually
uh helps patients, you know, and um I
just need to tell you and the audience,
the biomarker field has not yet
developed any biioarker that is credible
to the FDA when it comes to this
ambition of being an official surrogate
endpoint of a clinical trial. Having
said this, um we just can't wait
[laughter] for uh for for this
regulatory approval yet. Why? They are
urgent questions, right? People um have
exciting interventions. So, we need to
make assumptions, you know, and um for
the longest time I've been very cautious
when it comes to this claim. Do
methylation clock um um meet this high
standard? you know, and I'm I'm coming
around, you know, um just because I I
see increasing evidence, you know, that
um these uh uh changes um um track what
I call validated interventions, you
know, where we know the intervention has
a benefit for human mortality risk. And
then I see that it also touches
methylation clock in the expected
direction. It it gives me confidence,
you know, that the clock does what it's
supposed to do, you know. So, that's
that's where I'm at, you know.
>> What
have you what's the most robust
intervention or it doesn't have to you
don't have to tell me what the
intervention is or you could, but what's
the most robust data that you've seen in
terms of, you know, reversing
biologic age by some of these clocks,
grim age, pheno age?
What's like Yeah, I will start with um
interventions that are in certain ways
boring to you and me. Why boring to you?
You and I, we are hopefully healthy
people and we want to optimize our
health. But I want to start with people
who have a condition, you know,
>> um to answer your question, um HIV
positive people exhibit, um epigenetic
age acceleration. It's actually a
pronounced pro-aging effect. maybe five
to seven years in blood and sure enough
if they stick to their anti-retroviral
therapy that will reverse their
epigenetic age and that uh and and I
mention it because that
>> how much
>> uh several years you know several years
to give you a number four or five years
>> four or five years does it happen pretty
immediately after taking the drug? Yes.
>> Um probably several weeks a month, you
know, but um
>> there have been many studies all over
the world that have shown it, you know,
so it's it's very well established and
um yeah, so that's one application. I
mention it it's um I trust it 100% but I
um many people are not HIV positive, you
know. So therefore I say do not take
anti-retroviral therapy, you know, it's
just not. So the other intervention that
has very strong evidence is anti-TNF
alpha therapy really anti-inflammatory
um drugs for people who have an
autoimmune disease
again that just makes sense you know but
um yes and um metformin is an
interesting intervention to many of us
um the problem is and and um I'm coming
around to believing that metformin
affects epigenetic age. There have been
a couple of studies that suggested but I
need to emphasize the effect is way
weaker than than the above. So these are
um really um medical interventions and
in general as you can expect a medical
intervention has a much stronger effect
than a supplement you know. Yeah. When
it comes to supplements we do have some
answer. Um, omega-3 has an beneficial
effect. Um, apparently vitamin u multiv
vitamins have an effect. The problem is
that these supplements have much weaker
effects. Suddenly we talk about a couple
of months of rejuvenation, you know.
>> So, yeah.
>> And we're going to talk about those more
in depth and what that means. But yes,
>> I want to I want to kind of this gets me
into the controversies and hype because
you're talking about like these really
robust effects if someone has HIV
>> which is obviously devastating for your
for your body and then they take the
antivirals and that's really kind of it
does have a pretty robust effect on
obviously their life expectancy you know
many different features of health as
well as epigenetic aging. So that makes
sense. But I've heard people
>> out there talk about reversing their
biologic age biological age by 7 years
in sorry they reverse their their
biological age by 5 years in 7 months by
doing lifestyle interventions.
Is that something that you think could
be a real biologic effect? Do you think
that could be noise? Do you think it
could be cherry-picking the best clock
to get whatever outcome that they're
wanting or I mean how do you feel about
that statement?
>> Yes. So
um it's a very good question. I think I
the first thing I would ask um what was
their BMI before they started and um
many other clinical readouts. So if you
start with a person who was obese, had
inflammation, diabetes,
many of these stressors in their lives
and they really changed everything and
they they take their GLP-1 receptor
agonist, they they they suddenly go to
the gym and they do everything right,
then it would perhaps be possible and um
but there are many pitfalls and I can
discuss them later, but I don't think
it's um not not possible when you start
with this baseline.
>> So you're very unhealthy.
>> You're very unhealthy and and and above
all you actually start with an
epigenetic age measure. Let's say grim
age that shows you are 8 years older
than you should be. Do you see you're in
this in this highest percentile of risk?
So then maybe you can go back to the
average, you know. However, now let's
talk about um the opposite case. A
biohacker
um obsessed about healthy lifestyle and
now they say I changed my um diet and
now I reversed my age by 5 years. I I
would have the hardest time believing
it, you know. And by the way, um this is
something we see over and over again
with various uh rejuvenating
interventions. They seem to work in
people whose epigenetic age is already
accelerated, you know, but not in the
people who are very healthy, you know.
So, but yeah, so um anyways, I would be
very skeptical, but I'm open-minded. I'm
strictly datadriven, you know. So, I
would have a long conversation with that
person, you know.
>> Yeah. Well, you make a really good point
and that is, you know, people that are
already accelerating,
they're aging at a faster rate. So, they
have this a age acceleration, right?
Their grim age is already, you know,
they're going to is higher than it's
supposed to. Is that correct? Is it?
>> Yes. Higher
>> higher than it's supposed to be. You
know, their their biological age, their
feno age is higher, their pace of aging
is higher. So, they're they're already
age acceleration for whatever reason.
they're sedentary, they're obese,
they're sedentary and obese and they
smoke
>> or perhaps they have vitamin
deficiencies. That's another one I've
seen like vitamin D deficiency um has
been shown to be, you know, associated
with age acceleration. And if you
correct those problems by losing weight,
by getting physically active, by
quitting smoking, you know, by eating
healthy, by
>> getting your micronutrients and filling
the gap so you're not deficient, then
you see a more robust effect. And that
is also a recurring theme that I've seen
from reading the scientific literature
where it's like okay if you already have
enough vitamin D and we'll talk about
this like you know if you're if you're
if you're already sufficient taking a
vitamin D supplement's not going to slow
your aging the thing the thing you're
doing you're already doing it you're
avoiding deficiency and that's the key
right you you're you're trying to stop
that acceler things that cause the
acceleration of aging
>> um seem to be easy more responsive at
least
>> exactly yeah
>> the other question I wanted to ask It
goes back to something that you
mentioned earlier when you were talking
about, you know, these insurance
companies being able to predict your
mortality risk pretty accurately. Um,
using the DNA grimage. I've also heard
people say that you can take this DNA
grimage test and predict the day you're
going to die like within a month.
>> No, no, that's not true.
>> Okay. Now, why is that not true?
>> Yeah. So, I want to start out by
commenting on insurance companies. um
they are in the business of predicting
how long you live. If they make an
error, it will cost them a fortune. And
um they are superb at that. And u just
to emphasize, they look at so much. So
they will above all look at very
traditional uh readouts such as what's
your blood pressure, what's your medical
history, prior history of cancer, you
know, uh substance abuse. So they will
look at all of the above because all of
these variables I mentioned are very
strong predictors of mortality risk and
the question is um does grim age add
something or grim age or another
methylation that's really the question
for these companies and scientifically
speaking I can say yes it adds something
but not that much you know clearly the
life insurance companies have done very
well without having the methylation
readout. But um but the exciting thing
is methylation adds something. But then
these companies have to weigh the costs,
you know, because these tests are not
cheap. They cost several hundred. So is
it worth it to measure? And by the way,
that's the same question for any
consumer. Is it really worth it? Uh
worth it to you to measure it, you know.
Um um sorry, the other part of the uh
you had a second part of the question.
Yeah. The question is, I guess I I can
word it a different way. If if I were to
go out and get a DNA grimage test.
>> Yes.
>> And it said that I was going to die when
I was age 80.
>> Yes.
>> Am I actually going to die at age 80?
What how reliable is that number? How
accurate is that number? Or am I going
to die at perhaps age 85?
>> Yes. I want to um um tell you that grim
age could lead to a prediction of when
you die. Let's say age 85. It could.
And we know though that this estimate is
accompanied by a large arrow bar plus -
6 years. I'm just making it up. So let's
say you're a 50 year old. you measure
your grim age and um we apply the math
the mathematical algorithm which by the
way is very complicated you know for
estimating your um uh age at death. Um
but the error error rate is substantial
and um this makes sense because human
beings are so complex you know think how
many things can happen um even in the
next year you can go through a divorce
you get hit by a car you get depressed
you start smoking you stop smoking you
know so these um it it would be
unethical to report literally the age of
death to a person therefore for we have
decided to only ever give people an age
estimate. Right? We will say you're a
grim age is 50. And um what I want to
really explain to anyone who listens is
that please do not translate that age
estimate in your mind into an estimate
when you will die. In other words, if
your grim age is 10 years younger than
your calendar age, it does not mean you
will now live 10 years longer than the
average person. Do you see? You cannot
uh uh um compare this differential into
a lifespan differential.
>> Then what does it mean?
>> Yes. So um what does grimage really
measure in a mathematical sense? What
does it measure? It really measures
the instantaneous hazard that you drop
dead. I always say to people, it's your
risk that you will die in the next year.
That's how you need to think of it, you
know, compared to a person of the same
age and the same sex, you know. So, we
let's start with a 50 year old
um and um let's say their grim age is
58, 8 years older than expected.
then their risk of dropping debt in the
next year is more than twice that of the
average 50year-old of the same sex. Does
that make sense? So it's really
mathematically speaking it's a hazard
ratio and the hazard ratio measures
instantaneous mortality risk. Now you
can
translate that then into um an estimate
of your lifespan. It's easy to do but
it's a very complicated formula
certainly highly nonlinear and as I
mentioned associated with a strong arrow
bar you know
>> are there companies that are have
consumer available tests doing that
where they're measuring the grim age and
then doing that translation to when you
will die. Is that something you've seen?
>> No, I have not seen that. Yeah. And I'm
glad because I would have a problem with
that on two grounds. I find it um on
some level perhaps unethical. Um but um
I believe in freedom. So if people want
to do something, I'm okay with it. My uh
concern is it's scientifically unsound.
It really is, you know, for the reasons
I mentioned there's a strong arrow bar,
you know. So
>> right, if you're talking five or six
years,
>> either way, that's that's a pretty big
error bar for when you're going to die.
But it seems like people are using it
more to to to estimate their biological
age, right? In a way, right? And that's
that's typically what people are
>> Yes. Usually
>> we use Grimage um of course to
understand the effect of various
stressors. Um and
um I'm a longevity researcher. I'm very
excited about finding interventions that
reverse it in humans and of course in
animal models. So, um, that's how I use
it, you know,
>> for these for these clocks. Um, when
when we're looking at the like aging
process as a whole,
>> you know, we're talk we were talking
about damage, you know, there's the
insult that is the initial insult and
then you have perhaps the the damage
response, maybe the amplification of
that damage with inflammation. Then you
start to have tissue breakdown, right?
stem cell exa exhaustion like things
that are more downstream of the damage
and ampl amplification of that damage.
Do do these aging clocks where do they
sit on that? Yes, we um have um gained a
lot of insights into aging in general by
the way um and also um which um aging
hallmarks really affect epigenetic
clocks you know so 10 years ago we
barely knew anything about mechanism
um epigenetic clocks were rightly
criticized as blackbox readouts but
after really 10 12 years of research by
the very best labs in the world. You
know, we we really um have characterized
these changes. Um maybe for the
biologists um there are these hallmarks
of aging. Um and we know that clocks
relate to mitochondrial dysfunction, the
energetics. They relate um also to stem
cell changes very much so, stem cell
biology.
um they um relate to um metabolic
changes, nutrient sensing um um to some
extent as well and um and also aspects
of DNA repair you know so um that is
part of the biology. They clearly relate
also to changes in what is known as cell
composition. So um in in blood we have
many different blood cells and some
cells uh are aged so-called um stressed
memory
uh tea cells um cytotoxic tea cells um
um that um are exhausted this is
actually a technical term exhausted tea
cells from aging and conversely there
are these naive tea cells you know so we
understand that epigenetic clocks also
relate to inflammation and um and that
biology. So um epigenetic clocks should
be conceptualized really as integrators
of many uh different stressors but not
all. Um they don't capture everything.
And the most striking blind spot I want
to highlight which is frustrating to me
but I want to emphasize it. Um people in
the aging field have heard of
scinesscent cells senolytics very
exciting uh intervention. I I'm very uh
much following that literature. However,
epigenetic clocks really don't capture
that well you know. So um let me give
you the prime example. You have cells
growing in a dish. You radiate them high
any radiation. You induce scessence.
they the cells can no longer
proliferate. Um, and by the way,
radiation leads to double strand breaks.
It really
very much stresses the cells. And
wouldn't it be nice if methylation
clocks pick that up, but they don't, you
know, so so radiation damage at least
for
>> they don't pick up double stranded
brakes even.
>> Yes. At least when you induce it by
radiation, you know. So we know
radiation is very bad for you but
methylation changes do not result
directly you know and um so and and I
give you the converse of that when it
comes to scinessence many of uh many
people have heard of tieumirs um in
theory you want reasonably long tieumirs
at the ends of your DNA and for many
years people have thought aging is about
tieumir attrition. Now we know better
it's not but anyways it's a famous
hallmark of aging tumir shortening
however many of the clocks have only a
weak correlation with tumir biology it's
a frustrating aspect um and um 20 years
ago people had an exciting idea um
overexpress a part of tomease the turd
um overexpress turd Um and there were
companies that pursued that as a
rejuvenating intervention and um in at
least in our hands um we did not see a
beneficial effect at least in vitro you
know so um although I liked uh
epigenetic clocks for many studies but
they don't capture the totality of aging
you know so you really um want to
complement epigenetic clocks with other
readouts
That's interesting that they're not
because you mentioned that they do track
with the DNA repair process but not
>> to some extent. I I know I'm giving
conflicting messages um but that's the
biology.
>> So um
>> there's certain experiment that show
that um um some aspects of DNA repair
relate to epigenetic aging but others
don't. It's it's just not a tight story,
you know. So, I think um the field
really needs to nail that down.
>> Yeah. I mean, well, there's a lot of
things that lead to aging, you know.
It's it's a very complicated,
>> you know, multiffactorial
>> uh process when when
>> you actually are able to per perhaps
reverse, you know, biological aging or
I guess there's two ways of thinking
about it. you're slowing age
acceleration, right? If you're taking
away something that's negatively
accelerating aging or negatively
affecting your health,
>> but then also, let's say you're if you
can actually somehow slow the aging
process, at least on the readout, the
clock is showing that you're younger
after doing something. Where do you
think do you think that's like
inflammation like these processes that
are that are that you describe that are
sort of tracking with these clocks are
being affected? So the you know
mitochondrial function, inflammation,
those processes are improving and the
clocks are sort of picking that up. Um
yes and no. I mean um so epigenetic
clocks such as grimage and do need and
pace and feno age they do track
inflammation to some extent. No
question. So yes, if you reverse that um
these clocks will pick it up. But it
would be a grave error to assume that
the clocks only measure that biology.
It's really not true, you know. Um the
clocks um very much relate also to stem
cell functioning, you know, and um and
other aspects, you know. So again they
are integrators and um so there there
will be interventions that actually
don't even touch the in inflammosome in
one way or another but they could have a
very strong effect on reversing your
epigenetic age and the prime example
would be
um therapies that for example completely
rejuvenate your hematopoetic stem cells.
Just assume you have an intervention
where you really replace your your bone
marrow, you know, the or hematopetic
stem cells that produce all of these
blood cells and you just um get um
hematopoetic stem cells with an
epigenetic age of zero. Um
um that would very much rejuvenate your
blood drastically. you know um we know
that from mouse studies but also human
studies you know the the epigenetic age
in a bone marrow transplant recipient
often um reflects the age of the donor
you know so um so do you see there are
various interventions that could have a
very strong effect um but they just
don't touch on that biology you
mentioned
>> if it's rejuvenating the blood is it
also perhaps rejuvenating other organs
>> that's a great hope you know So um my
response is assume not because it would
wouldn't it be nice if
>> what animal studies shown have they
looked at that?
>> Yes, there have been animal studies I
want to say in the lab from Vadim
Gladishev at Harvard and um the studies
um my reading of the studies is that
they have been disappointing they didn't
rejuvenate other organs. If anything,
there was um a disappointing result that
um after x number of months actually the
stem cells had aged. So the body has the
memory of the old mouse and that then
aged the the the blood. Really? Does it?
>> So did these mice get a hematopoetic
stem cell um graft or they did? Okay.
>> Um um Vadim um carried out really an
elegant set of experiments various uh
transplantation experiments and the
scientific question is the following
okay if I uh replace let's say the blood
by that of a very young mouse or take
other organs by the way should we
replace the kidney should you know so
anyway the or or the heart or any other
organ um would the rejuvenation of one
organ translate to for bodywide
rejuvenation and my current reading of
the literature is that we haven't found
any such uh organ as a target. You know,
>> I thought there was some evidence that
if you did some of these transplants
where you take young blood and put it
into older mice that rejuvenated the
brain, for example,
>> or am I I mean that that's I don't know
if they were measuring doing using
clocks, but they were doing cognitive
function and a battery of tests and the
cognitive function improved and things
like that. But no, for sure you know. So
maybe um to remind the audience this
this idea of heterocchronic parabiosis
for example where you really uh connect
the circulation of an old mouse with a
young mouse. And this is a really a
phenomenal paradigm of rejuvenation.
Arguably one of the best ones we have
along with caloric restriction.
And um um so yes um we know that um when
an old mouse is exposed to the
circulation of a young mouse it has
multiple benefits cognitive benefits
also muscle benefits. So um and also
importantly epigenetic clocks get
rejuvenated many organs. Um so we know
that again from several studies
including from Vadim Bladesf's lab but
others have found that too. So yes, um
young circulation rejuvenates the liver,
the kidney, all of that, you know, um on
the methylation level, but there's a
problem. You disconnect these mice, so
they are no longer connected. They're no
longer exposed to the young circulation.
Then the things bounce back, the
epigenetic age bounces back to that of
the recipient mouse. It's very
frustrating to all of us who work in the
longevity field because that is a very
common story. You have a powerful
intervention. It actually rejuvenates
the organ. The problem is it's
transient, you know. But yes,
>> it's it's kind of like the probiotics
flow through. You have to keep taking
them to have a benefit in the gut as
soon as you stop taking them because
they don't stick there, right? They're
not taking residence there. Yes. Yes.
Well, let's talk about caloric
restriction since you just mentioned
that as a rejuvenating
therapy. I mean, at least many animal
studies have shown that and I don't know
that anyone wants to be calorie
restricted for the rest of their life.
Although GLP-1 receptor agonists are
kind of doing that in a way. Um there
was a very recent trial, the calorie
trial, and I'd love for you to talk
about this was a two-year randomized
control trial where individuals were
basically eating 25% fewer calories than
they otherwise would or they were eating
their normal, you know, daily food
intake as as usual. And I wanted to ask
you
was this were the participants
overweight in this trial or were they
normal weight? Do you know?
>> I don't remember. I know it's a US
population so assume that they are on
the chubby side for sure, you know.
>> Okay.
>> Yeah.
>> Yeah. So in this in this trial, it was a
two years rand two-year randomized
control trial and it seemed there was
many clocks that were measured
>> and it seemed like they had different
readouts. Do you want to talk a little
bit about the the the findings? I mean I
guess
>> yes um yeah I have a lot to say about
weight loss we should discuss it you
know so but uh the calorie study is a
very famous study um US population very
rigorous study many many readouts um but
I want to acknowledge something um and
um the experts know it the adherence was
not good you know so um there was an
ambition that these people would lose
more weight than they did, but as
everyone knows, it's so hard to adhere
to a diet. So the um the age reduction
was on some level very weak. I would say
I I I I apologize. I don't know the
number, but I remember it was weak. I
mention it because later we should talk
about GLP-1 receptor agonist where the
weight loss can be pronounced and the
there discrepant findings actually,
right?
>> But anyways, back to the calorie study.
Um um um again there were multiple blood
draws from these people and so one could
evaluate um which methylation clocks
pick up a beneficial effect. And um I
was disappointed that um grim age and
feno age did not pick up my effect. But
this new clock a new clock at the time
Dunid and Pace really picked up my
effect. Um and which was reassuring you
know that um reassuring because
everything I know about the biology of
methylation clocks tells me that they
should pick up a reduction in weight if
it's strong enough. You know
>> how much weight did they lose? Do you
remember? It was
>> pretty like not very much.
>> Yeah, it was not impressive to me at
least.
>> So, so the clock that did pick up the
>> It was Dun need and pace. And in in
hindsight, um let's discuss why it
picked up the
>> like a 2 to 3% slowing of the rate of
aging
>> over the two years.
>> That's true. Yeah. So it picked it up
and it makes mathematical sense to me
because Dunid and Pace again was uh um
trained that's the lingo of machine
learning but it was developed to track
changes in BMI. So yes it picked it up.
By contrast Grimage was never trained to
look at weight loss. It was trained on
mortality. So, so yes, Dunan pace worked
and my reading of Dunan pace is um that
it is good at that biology. People
losing weight, it will pick it up. Um
and um now the question is why didn't
the other clocks pick it up? And there
could be several explanations, you know,
but my view is if there had been a
larger sample size, if the people had
adhered to the protocol, I'm I'm as sure
as you can be that the other clocks
would have picked it up. It's a sample
size issue or conversely small effect
size.
What I can tell you is there was sorry
there was a very exciting study um um
that involved actually obese people BMI
30 and higher who had been put on a
GLP-1 receptor agonist treatment
semiglutide.
And these people really lost a lot of
weight over 33 weeks. And um by the way
this um study um was published in MET
archive. It's a pre-print so um take it
with caution. It was Michael Kley's
group in San Diego but very beautiful
study very rigorous again and um a large
sample size so credible and they looked
at all methylation clocks and suddenly
all methylation clocks picked it up
really all you know and um so that's my
thinking you know if you have a strong
weight loss intervention you have really
a strong reduction in fat lipolysis is
you know this inflammatory signal is
reduced um I think all methylation
clocks will pick it up and
>> right and I think it goes back to this
concept that we were discussing earlier
where if your baseline is unhealthy if
you are obese you are accelerating your
aging right you are you're in age
acceleration mode right so you need to
slow it down
>> and with any clinical trial it's always
you always get a better signal
when you're starting with something
that's at a population that's either
deficient or unhealthy and then you're
giving something to improve that
deficiency or negate it or to you know
improve their health and you get a more
dramatic effect. So we know obesity
accelerates aging we know you know that
it's associated with you know decrease
in life expectancy you know increase in
cardiovascular disease, type two
diabetes, cancer, right? All these all
these diseases of aging. So, it's not
surprising that you would give someone a
drug that does cause rapid weight loss
in a short amount of time. So, you're
going to get a much more robust signal,
right?
>> Um, and you're obviously picking that up
with with the agent clocks
>> with the calorie trial. Um, you know,
again, I don't know what the adherence
was, but also as you mentioned, these
these clocks are trained with different
there's there's different specialties of
them, so to speak, right? and BMI being
trained on BMI. Wow. That's going to
make you sensitive to weight loss for
sure. Um and so the you know the douadan
pace clock which is measuring the pace
of aging um you would imagine would be
more sensitive than than something that
would
>> but you know my my question as a
longevity researcher is which clock
should a clinician use? You know um if
we could briefly talk about
multivitamins um um this study
interestingly here grim age f found an
effect pheno age found an effect based
on multivitamin use but dunit and pace
failed it was not significant you know
so and you can ask this question now for
many interventions what should be the
go-to clock and you know I I even I want
to stay clear of this debate because we
will never agree agree, you know,
therefore I I just love it that the
field by now simply reports at least
five clocks, you know, so the reader can
just look at it and um be the judge.
>> Let's let's talk about the multivitamin.
So this was the Cosmos trial. I've
talked a lot about the Cosmos trial in
the context of brain aging. So the
larger there's you know the larger
trials and there was three randomized
control trials where these older adults
were given a standard Centrum silver
multivitamin a day. Oh yes,
>> every day. And it was what is it about
3.6 six years for this trial and they
were looking at I mean there's a lot of
end points of this trial but one of them
was cognitive function and brain aging
and at the end of the trial the the
people that were given the multivitamin
had slowed their brain aging by 2.1
years and there was a battery of tests
that were done there and I'm not sure if
in fact some clocks were used as well
but I know that the global brain aging
was slowed by 2.1 years and their
episodic brain aging So, episodic
memories, a kind of memory where you're
remembering experiences, people, right?
Like those sorts of things. Um, that was
slowed by almost 5 years compared to the
placebo group, which is quite
significant. And they did better on a
battery of cognition tests. And so, that
was very that's very encouraging, you
know, and it's something that I do talk
about a lot because I feel like it's a
very easy, safe intervention that people
can take a standard multivitamin. These
have a variety of vitamins and minerals,
trace elements that people are not
getting from their diets. And so they're
kind of filling that nutritional gap.
And and so, you know, who doesn't want
their parents and grandparents to have
better brain aging? So, I'm my parents
are on a multivitamin, right?
>> Um, when it comes to looking at these
epigenetic aging clocks, the phenoaging
grimage clocks were the ones that stood
out to me. As you mentioned, there was a
battery of clocks that were that were
looked at, but it seemed as though they
were slowing or at least
I'm not exactly sure all the
calculations that go into this, but 2.7
months to 5 months, right? Like they
were basically
>> they're they're slowing the aging by
roughly that amount.
>> Yes.
>> Um, which to me is, if you think about
>> now this this trial that was done with
the agent clocks, I think it was like a
subset of it of the larger trial. Was it
two years or did they do the 3.6 years
for that? Do you
>> It was Yeah, I think it was two years.
>> Two years. Yeah. And and so um to me the
question is now this wasn't that you
said the Dodinan pace didn't change.
>> No, it it it changed in the right
direction. It just wasn't statistically
significant.
>> Oh, I see. No. Um
>> in the right direction. You know, maybe
a larger sample size would have um led
to a significant finding. It was
definitely in the right direction. Well,
the question I have for you is if you're
changing it by, you know, 3 to 5 months
within that 2-year range
>> according to the the grimage and feno
age clocks
>> and you're to keep doing that, you know,
you know, for years. So, now we're
talking not just 2 years, we're talking
20, we're talking 30, 40 years.
>> Yes.
>> How do you think that? Do you think that
you get this accumulative effect?
>> Yes, I think so. I um I think so. I um
maybe to step back. If you tell an
80year-old that um a multivitamin will
reduce his or her age by 3 months, they
will roll their eyes. They will say,
"Okay, give me something that reverses
my age by 30 years, you know. Um um so
fair enough. The effect we just need to
acknowledge the effect is very minor,
you know. However, I like the way you
conceptualize it. If you um really use
it for 30 years, right, and you're 50
year old and you use it until you're age
80, my expectation is that suddenly
these uh 3 months benefit they
accumulate and suddenly you have a
benefit of maybe two and a half years.
You know, it's still not uh
great, you know, but um there is a
benefit, you know. So, um,
>> but think of the effort you have to put
into just taking a multivitamin, right?
I I think it's pretty great for that
amount of effort. You know, if you're if
you're just having to take one vitamin
supplement and it's going to delay your
your brain aging,
>> you know, by 2.1 years just after,
>> you know, in that trial, it was 3.6 year
trial, but, you know, that's pretty
robust. Five years delaying brain
episodic brain aging.
>> Yes. And and now we're talking about
like globally like biological aging. If
it's if it's slowing it by let's say on
the high end five months after two
years.
>> Yes.
>> I don't know. That seems like a pretty
>> great effect if you're just taking a
vitamin supplement for two years it's
doing that. Well, let's continue on and
and then combine other things and we'll
get into some of the other trials that
do show synergy. But
>> yes,
>> um I think it's interesting. The other
question is that and this is where um
you know the Cosmos trials people
they're looking at everything right
cancer mortality cardiovascular
mortality all cause mortality and those
didn't really seem to change yes
>> at least within the time frame
>> yes
>> that was looked at and so you know we
see these epigenetic clocks giving us a
signal we see the brain aging effects
and the question is why why are those
showing up before
>> yeah I I tell you my reading of it and
um To me, this whole study was one
triumph for epigenetic clocks. And I
explained to you why.
Assume you knew nothing um about
multivitamins. Um you would think that
there is a benefit, you know. Um clearly
vitamins are important. It's a trivial
tology.
>> Avoiding deficiencies are important
>> especially, you know. So you would say,
okay, I administer that to the US
population. I would hope to see an
effect and that of course is the reason
why these largecale studies were even
initiated. Think about how difficult it
is to raise the funding for such a large
scale study. Clearly there must be very
compelling reasons. Okay, but there is a
problem now and um these hard end points
mortality cardiovascular disease they
didn't detect an effect. deeply
frustrating. Um,
>> was there a trend? It wasn't
statistically significant.
>> Yeah, I let you summarize it, but to me,
you know, it um I I I I just looked at
it from the point of view as a consumer
5 years ago, you know, I wouldn't take a
multivitamin. I looked at the
literature, no benefit, I won't take it,
you know. Now, um, so, um, a person can
now make their own judgment, you know.
So what does it mean to me? I take it as
a wonderful triumph of epigenetic clocks
that they did pick up um the the signal
and I um call this testing the test. you
have an intervention where um you really
think it's got to move the needle, you
know, and then if a readout doesn't show
it, one interpretation is well maybe the
readout is too crude. Maybe um all cause
mortality is a real I mean we I like it
as a readout. I used it for Grimage.
Don't get me wrong, I I like that it's
hard and definitive. You can't argue
with it. However, people die for a
hundred different reasons, you know,
that may really not relate to the uh
biology of aging, you know, and um so
now that we have actually biomarkers
that did pick up that signal even though
it's very weak is to me um really
reassuring, you know.
>> Yeah. And I think it's reassuring in
combination with the the the brain aging
signal that it picked up and just
knowing that you know so many so many
globally people are not getting enough
of these important vitamins and minerals
and trace elements and essential fatty
acids from their diet. Then it's kind of
like an insurance like okay I'm going to
fill some of these nutritional gaps.
They won't all get filled because you
can't stuff everything in one pill. I
mean, you know, you can only get a
little bit of some things in there,
right?
>> Yes.
>> But I do think that it's it's again, I
agree with you. I think it is a triumph
and it's something that I do think that
is safe. I mean, it's really been shown
to be safe and so so maybe maybe you pee
a little bit more of out. So, what it's
it seems to be doing something
beneficial for the brain and at least
for, you know, looking at these aging
clocks, it seems like for the way you're
aging as well.
>> Yes. Yeah. So, what have you got to
lose, you know?
>> Yeah. Um, let's let's let's go back to
um maybe some of these other vitamins.
There's other I guess lifestyle
interventions as well that I wanted to
cover, but since we're on the vitamin
train, um the big one is omega-3, right?
I mean, that I've seen at least in the
literature. And this is something that
isn't surprising to me because
going back to this theme that we've been
talking about, if you're starting out
with a deficiency, if you're starting
out at an unhealthy point and you
improve there, improve that, you fill
that nutrition deficiency gap or you,
you know, improve your health, lose
weight, whatever, then you're going to
have a stronger signal, right?
>> Yes.
>> Um 90% of Americans don't get enough
omega-3 fatty acids. Nobody's eating
seafood in the US. It's just, you know,
so you're you're starting with a
population that's already, you know, I
don't want to say deficient, but they're
not getting a sufficient amount of
omega-3 fatty acids.
>> And so I think it's probably why it's
easy to keep getting this stronger
signal because you're if you start out
with someone who's already getting
enough omega-3, maybe you go to Japan
and do the study. I don't know. It would
be interesting to see.
>> Yes. Um perhaps perhaps there it just
keeps improving inflammation and then
you know you'll keep seeing an effect.
But um it seems like many many studies
have shown that omega-3 fatty acid
whether it's from food supplementation a
combination of both seem to slow
epigenetic aging by different clocks.
>> Yes, there has been quite some
literature. It started with um
observational studies that you cannot
trust but um last year um we published a
study um which was very rigorous. This
was a study conducted by a Swiss
professor Hiker Bishop Ferrari who
looked at 780 people and um followed
again the most rigorous um design
randomized controlled trial, placebo
control trial in a population that I was
very interested in people 71 years or
older really older people reasonably
healthy um average age I want to say 75.
five I think or 73. So older people and
she um um evaluated
um famous interventions. Number one,
omega-3 1 gram um vitamin D. And we
should talk about the intervention about
vitamin D was tricky. It was high
vitamin D versus low vitamin D. It
wasn't vitamin D versus no vitamin D.
That that's a key distinction.
>> What was the what was the low? Oh, I
know the high vitamin D was 2,000 IUs.
>> Yes. And the low was 800 IUs.
>> Yes.
>> So, it's only double kind of.
>> Yeah. Exactly. And that's a limitation
because the results for vitamin D were
disappointing. No effect on epigenetic
clocks. But that's why I hasten to add
[laughter]
>> it. Yeah. But we have other randomized
control trials showing the opposite. If
you start with the deficiency and add
it, and we can talk about that. Okay.
So, vitamin D.
>> That's true. But um
>> but there was also another disappointing
if you look at the exercise. Yeah, we
need to talk about exercise. So, yeah.
So, this was called a home exercise
intervention. Now, to remind you, these
are people in their 70s and think in
terms of ethics approval. You cannot
stress these people too much. So, the
this home exercise intervention was very
modest. Okay. And
>> it was resistance training, right? Three
three times a week.
>> Yes. Yeah. But it was um I'm telling you
it was a mild mild mild resistance
[clears throat]
training you know because because um no
effect I was very disappointed.
>> Did you read that the the the starting
population 88 like around 88% of them
already identified as being physically
active.
>> Exactly.
>> I mean which is if you were to get a US
population not a chance like that
there's no way you would have had that
many people physically active. But
anyway so that's
>> these are people in Switzerland.
Hopefully they hike in the mountain
>> walking everywhere. Exactly. No, but
that was interesting to me because I'm
I'm very interested in in that
population, people who already do a lot
of good things.
>> What can they do to improve, you know,
their outcomes, you know,
>> great framing of it.
>> Yeah. And um yeah, so um I think we
already discussed the result. The most
credible result was omega-3 on
epigenetic clocks. A couple of
epigenetic clocks picked it up. Grimage
version two, phenino age, donan pace
also worked very well in that context.
Um so um nice result for omega-3. the
other interventions disappointed and
>> by themselves by themselves
>> by themselves but yes there was this one
treatment arm where people actually did
uh used all three beneficial
interventions high dosage vitamin D um
omega3 plus exercise and according to
phenoge that treatment arm did the best
you know so um that's the finding that
we would have liked to you know, for all
clocks, but it's just the pheno age
picked it.
>> Well, I think there was even a dose
dependent where there was the group that
just got the omega-3 and vitamin D, and
that also improved more than the omega-3
alone.
>> Yes.
>> And then all three improved the most.
So, you see this nice dose dependent
effect with adding in these healthy
lifestyle interventions even in an
already presumably healthy population.
Yes. Which is exciting. Yes.
>> And I have the the numbers here. I think
it was 3.8 eight months the pheno age
delayed the biological aging was delayed
by 3.8 months
>> yeah over three years
of that yeah
>> and that doesn't sound like a lot again
but they also correlated with some other
outcomes right so I think there was in
the in all three interventions yes it
was 3.8 eight months it delayed the
biological aging but also that was
associated with outcomes that were
important 61% reduced chance of getting
metastatic cancer it was like a 20%
reduction in pre-frailty which is also
nice to see these outcomes correlated
with this as well right
>> I agree with that and um I can tell you
the same study looked at a new concept
in the field called intrinsic capacity
um which um looks at various do domains
of functioning, frailty, cognition,
psychology. Um anyways, um also
intrinsic capacity was improved in that
population. Okay. So it's not just the
molecular readout. Yes.
>> Um I think
>> for me the take-home again is something
that you mentioned when you have this
already, you know, healthy, they have to
be a healthy population of 88% with them
physically active, right? So and and you
take that healthy population, you can
still improve, right? You still can
improve things. Um, do you, again, this
comes down to the compounding factor,
right? So, this was three years and then
let's say, okay, well, they're going to
start doing this for the rest of their
lives, you know, decades. We're talking,
well, in this case, they're a little bit
older, but people listening to this
podcast maybe in their 30s, maybe in
their 20s, and their 40s. It's like,
okay, well, I'm going to start training
getting making sure I'm not vitamin D
deficient, getting my omega-3, and then
you have like how how is that going to
compound over over time, and I know it's
speculation, but it makes sense. That's
the way I think about it.
>> I think of it the same way. I wish I
could go back in time and tell myself to
stop eating chocolates, which really
messed me up. So [laughter] yeah, good
health behaviors, you know, and
supplements in included I think will
have benefit, major benefits.
>> When it comes to vitamin D, that's the
one that I I mean, this one study was a
bit disappointing, but as you mentioned,
I mean, comparing 800 IUs to 2,000 IUs,
I wouldn't imagine to see a big
difference there because you're already
feeling the gap.
>> Exactly. And most of the participants
had no um insufficiency in vitamin D.
they really started at normal levels
>> and that and we know
>> yes
>> there have been there have been in my in
my opinion so many studies that I've
I've come across and read over the years
showing that vitamin D deficiency causes
age acceleration in some cases severe
like 3 years
>> and if you correct that deficiency it'll
slow age acceleration where then you say
you know reversed aging by you know not
four years or whatever I mean so Um, I
think my takehome and I know the the one
that I like the the the most recent one
was the the base two the Berlin study.
>> Yes.
>> Where they took which was the thing that
was nice about that was they had a
deficient population and then a
sufficient population and gave them
vitamin D.
>> Yes. And um this was a study in Berlin
and they followed people for seven years
which was also impressive was a large
population and you can imagine um Berlin
is of course not blessed by sunshine so
they start out deficient you know so um
it all made sense you know
>> yeah you re reverse aging if you're if
you're deficient and fill that
sufficiency but the people that were not
deficient actually there was no effect
which is
>> again what you effect. It's not about
this is a magic supplement that's
slowing aging. It's not doing that. It's
helping people that are deficient
correct their deficiency. And that's why
there's so much in the even in the
scientific literature with vitamin D,
for example, if you're looking at
outcomes, it's the same thing.
>> Yes.
>> You know, and it drives me nuts when
studies don't measure their baseline
levels or if they only measure 10% of
the population and then use that to
extrapolate like everyone else. They're
like, you can't do that. Yes,
>> there's so many, you know, and there's
gene snips that are affecting vitamin D.
There's other micronutrients. Magnesium
really affects vitamin D. You need
magnesium to convert vitamin D3 into,
you know, the steroid hormone. So,
there's so many different things that
are affecting your vitamin D. If you
don't measure it before and after, it's
hard to really make a statement that it
did what it did or didn't do what it was
supposed to.
>> Yes.
>> Okay. So, I want to um
>> we should talk about exercise.
>> We can go into exercise.
No, no, but I follow your script. Sorry.
>> Oh, no, no. We we we were I was we were
talking about calorie restriction and I
just wanted to mention dietary
>> patterns in general,
>> you know, because you mentioned weight
loss and we've talked a little bit about
it with the GLP1. Obviously, if you lose
weight,
>> Yes.
>> It's probably a big confounder with all
some of these dietary pattern trials,
right? Like if you're getting someone
who's overweight and these participants
are overweight and you're putting them
on a healthy diet or a Mediterranean
diet or something like this and they
lose weight on all the diets, then how
much of what you're seeing is due to
that weight loss, right?
>> Exactly.
>> So, do you want to talk about that? Um,
it was like the direct trial. Is that
what it was called?
>> Yeah. I need to tell you I don't know
too much about it but I I I want to um
um explain some properties of grim age
um that I'm aware of. So grim age very
much correlates with what is known as
carotenoid levels in the blood. So what
are those? So you you know um let's
maybe back off and think of nutritional
studies. Many people have so-called food
questionnaires where they evaluate the
diet of participants. And from all I
know from analyzing data is that these
food questionnaires often don't reflect
reality.
>> I don't remember what I ate for
breakfast. Well, I didn't eat breakfast
today. But
>> yeah, I mean and and people always know
what they should answer, you know, but
so that may bias their memory. They will
say, "Oh, yeah, I ate um x servings of
broccoli." But it just doesn't reflect
reality. But fortunately, there are
blood tests. You can measure the
so-called carotenoid levels in the blood
and and have an objective readout of
fruit vegetable consumption. And the
striking finding in post-menopausal
women from the women's health initiative
was that this um measure of vegetable
intake has a strong correlation with
grim age and other epigenetic clocks
strong meaning maybe minus.3 so it's a
to me a very strong effect which really
changed my behavior by now I really eat
a lot of vegetables um
>> can you translate that to like months
like what would minus.3 three.
>> Yeah, sorry. I'm [laughter]
I could translate it, but uh an estimate
like
>> Yeah. No, let me put it this way.
Smoking has a correlation of 0.4. So, if
you smoke a lot, it increases your age.
Um vegetable consumption minus.3. So,
it's actually
>> Wow.
>> Yeah, I was very surprised how in this
and I sorry, I add one more statistic.
Exercise the correlation would be 0.1.
So, do you see? So vegetable intake has
a much stronger effect. I mean orders of
magnitude stronger effect on grim age
and these methylation clocks than for
example exercise you know
>> and you and and you think it might come
down to even the carotenoids perhaps or
just the vitamins and minerals and
everything in the vegetables kind of
compounding.
>> Yeah. You know I never looked into that
but I feel that would be such a
worthwhile research study. What I can
tell you is this vegetable association
is 100% accurate but now teasing it
apart what is it you know um to be
>> seen probably so many things I mean
>> you've got the fiber matrix you're
getting micron like vegetables
especially greens and if you're talking
about carotenoids you know lutein
zeazanthin these are these are
carotenoids that are in greens and
interesting there's been a lot of
studies coming out looking at blood
levels of lutein and zeazanthin People
usually associate that them with eye
health. They accumulate in the eye.
There have been randomized control
trials showing they can help prevent age
related macular degeneration. They also
accumulate in the brain and they're
associated with improved cognitive
function, crystallized intelligence,
improved brain aging in general.
>> All right.
>> And there's other carotenoids.
Betaarotene is probably what most people
are familiar with. Lycopine in tomatoes.
So there's a v variety of these
carotenoids which are very powerful at
basically
um I would say buffering oxidative
stress and singlet oxygen for example if
you're talking about in the eye.
>> Yes.
>> But um it's interesting that vegetable
intake can have such a profound
>> effect. There was a vegan trial too. I
think also
>> there was a trial looking at people that
are eating a lot of vegetables versus
like an healthy omnivore trial. on the I
think the vegan trrowley also had slow
their epigenetic aging more but there's
always weight loss as a confounding
factor because they were eating fewer
calories but that's really interesting
that there's a minus.3 that is pretty
strong you gave me that reference point
of smoking being you said it was wait
smoking was 04
>> okay smoking point4 maybe 045 so it's
increased correlation
>> um exercise 0.1
>> okay
>> so and we we We can talk later about
exercise but very weak effect. In order
to see an effect of exercise, you really
need to study many thousands of people
with vegetable intake. The effect is so
strong you probably see an effect when
you analyze a couple of hundred people,
you know. So um but um regarding the
question vegan versus
carnivores, you know, I honestly have uh
not seen convincing data. Omnivore.
Omnivore.
>> Or omnivore. Yeah. So or Yeah.
>> Carnivore would be the extreme opposite.
>> That's true. Yeah. Let me rephrase it.
So I I have not seen any evidence that
people who let's say eat a lot of red
meat age much faster than people who are
vegans. And um we looked again in the
women's health initiative. I mean, there
was a hint, I want to say, when we
analyzed 3,000 women and then women who
ate red meat, it was barely noticeable
that red meat was ever so slightly
increasing epigenetic age, but it was
truly negligible, you know. So, um, what
I can tell you is I eat so much meat.
Um, hopefully it's not bad for me.
>> Vegetables.
>> I eat meat and vegetables. I try to be
easy on the carbs, you know. I I eat
carbs, but I try to reduce them. Yeah.
Well, I mean, veget vegetables are
carbohydrates. They're just complex
carbohydrates, not simple. So, you're
you're not eating the simple
carbohydrates.
>> Yeah. Exactly.
>> Yeah. Um
that that vegetable stuff is is
interesting, though, but there's so much
in vegetables with the micronutrients
and the phytochemicals, right? That
that's another thing in them. The fiber,
I mean, there's there's a lot of things
going on here that's
>> Yeah. Somebody should really tease that
apart. What kind of vegetables should be
eaten, you know, and um dosages. Yeah.
lots of exciting PhD dissertations could
be written on that topic.
>> Um, exercise.
>> Yes.
>> That so let's talk about that. So you're
you know what there's a trial that you
sent me that was pretty convincing and
it was kind it was a new one in 2025
showing that 6 months of cycling
it seemed to slow epigenetic aging or
grim age right grim age by 7.4 months.
>> Yes. I maybe I I'll frame it like that.
So there have been very nice studies on
the effect of exercise on grimage and
phenoage and other clocks and um so why
what do I mean by nice um studies where
they use one way or another a wearable
to really measure your step count and
activity. So it's a very rigorous
readout of your physical activity.
And the studies were also convincing
because they were largecale studies many
thousands of people and in different
countries Japan, Germany, US and the
finding is the following. Yes, if you
move more, yes, your epigenetic clocks
um pick up a small effect and I
mentioned earlier correlation minus.1.
what it means. You need to study 3,000
people, then you will see a
statistically significant effect of step
count as an example.
>> But I've been deeply dissatisfied with
that finding because we all know
exercise is um what they call the poly
pill. You know, it touches so many
systems and you it's very beneficial. So
I would have loved to see a strong
effect on blood methylation but it the
literature shows weak effect. And
>> what about muscle methylation?
>> Yeah. So people have built um clocks for
muscle. So literally human muscle
biopsies. [sighs]
I don't know what to tell you. It's
Yeah. Um, some some people claim they
see an effect, you know, but I I just am
not yet convinced.
>> It is disappointing. So, you're asking
>> I would say it's disappointing. So then
there's this study that was published um
by first author I can remember Vanam I
think differently spelled from the actor
but anyways and this intervention was
very different because it didn't look at
step count or what we discussed earlier
them home exercise intervention that was
the next level intervention it was
putting people on a bicycle and they now
um bicycled 4 and 1/2 hours a week. Now
for the health nuts out there that's not
much but to me this is daunting you know
so I if if you forced me to bicycle 4
and a half hour a week I would struggle
with that um why we we are all busy
people you know but anyways the people
who adhereed to that trial they had
strong effects on V2 max
>> 20%
>> 20% and many other readouts you know so
they didn't fake it you know so they
really saw physiologic benefits
And then sure enough suddenly the clocks
worked you know. So PC Grimage as an we
keep talking about PC. PC means
principal componentbased Grimage.
That's a version of Grimage that's even
more robust than the original. Robust in
the sense of test retest variability.
It's a um very uh reproducible measure.
So anyways um it picked up a 7month
reduction in grimage which again dwarfs
everything we just discussed you know so
and that was um um a six-month
intervention.
These people were younger though I want
to say they were between 30 and 65
basically a population that you can um
um um put under such a stringent
regiment you know. Well, they're young
and [clears throat] middle-aged, but
>> yes,
>> I would I mean, so I would argue with
Steve that this is 10,000 steps. Like
that stuff is like it's okay. It's
better than nothing,
>> but
>> if you really want to move the aging, I
mean like you got to go more than that.
And and this is the kind of stuff I mean
that that we talk about on the podcast.
I mean, I've had Ben Lavine on. He is a
rock star in the cardiovascular exercise
physiology world. And he's done multiple
randomized control trials, but he did
one that was a two-year study in 50 year
olds. They were about 50 year olds and
they had never been physically active,
but they didn't have any other diseases.
Put them on a a two-year trial where
they were working out, exercising about
five on average 5 hours a week, doing a
lot of cycling. They were doing, you
know, some some highintensity interval
training in there, a little bit of
resistance training, but a lot of it was
aerobic and they improved their V2 max
and their their heart structure. So, he
looks at like the structural aging of
the heart. So, as we age, our heart gets
smaller with age. It gets stiffer and
[snorts] um they improve the structure
of their hearts by it was like if you
basically it looked like they reversed
aging by about 20 years. their hearts,
you know, got bigger and they were more
flexible and it looked more like a
30-year-old even though they were 52 at
the end of the trial.
>> And so I would argue that,
>> you know, doing
really taking time to exercise every day
something and and more than just walking
Yes.
>> you know, is very powerful for for
longevity and for, you know, slowing age
acceleration.
>> Yes. Um, and so it's it is really nice
to see this new trial because I have
also been very disappointed in, you
know, some of the data, but no one's
really doing these kinds of studies
where they're saying, "Hey, again, it's
like getting a stronger signal. Let's
let's not just walk. Let's not just do
10,000 steps. Let's push them to pro
improve their V2 max by 20%." Like, and
see what that does to their aging
clocks. Right.
>> Yes. Now, we know, you know, I mean, the
um this study didn't have a control arm.
We should mention that. you know so but
it um I certainly was impressed by that
and um it's hard to argue against
exercise you know so
>> yeah I mean there's so many studies
showing it improves outcomes right
cancer mortality cardiovascular
mortality all cause mortality it
improves brain aging Alzheimer's disease
risk is lowered everything like all
these age related diseases frailty you
know you're you're stronger you're more
capable you're healthier your heart's
working better your lungs are working
better it's improving organ function.
So, we know it's good for aging for
sure. And so, it's nice to see that. Um,
>> I mean, there might be a real threshold
to to to pick it up with these
epigenetic clocks where you have to kind
of put in the effort.
>> Exactly.
>> And so, are you going to put in more
effort now? I mean,
>> yeah, I will try. Yeah, definitely.
>> You know, it's
>> I
>> hopefully there'll be more studies now
as these epigenetic clocks become more
available for researchers as tools. it's
something they can add to other things
that they're they're looking at, you
know, because
>> I want to see a 10-minute hit hit hit,
you know, every day. Like h how is how
is intensity affecting it? How is volume
duration? I mean, there's so many things
to look at.
>> Yeah. You know, we need to develop
exercise in a pill um for people who
have who have lost mobility.
What what do you um tell someone who is
in a wheelchair? What do you tell to an
85year-old,
you know? So we we need to develop
interventions that still rejuvenate them
and slow aging. But
>> I would say for people that are disabled
in a wheelchair, we do have deliberate
heat exposure
>> that mimics moderate intensity
cardiovascular exercise. I've never seen
anyone looked at an epigenetic agent
clock, but um so you can get in like a
hot tub or a hot sauna, your heart rate
starts to elevate. you know, a lot of
the same physiological
mechanisms that are happening during
moderate intensity exercise. There's
been head-to-head comparisons with like
getting on a stationary bike and, you
know, doing about 100 watts. So, you're
for 20 minutes and then comparing that
to like a 20-minut sauna and you get a
lot of the similar benefits. You get
improvements in blood pressure,
improvements in your resting heart rate,
[snorts] you get, you know, again,
you're sweating, your core body
temperature is going up. So that we do
have some interventions that may mimic
it. The pill there's so many things that
change, you know, Steve, like I don't I
mean maybe we'll get that, but I it's it
seems like
>> Yeah, I'm I'm joking.
>> Yeah, you need something. [laughter]
>> It seems like a moonshot.
>> Yeah. Um
>> um
>> I want to briefly comment on body
temperature. There has been a very
elegant study in mice. So um it turns
out if you stimulate certain neurons in
the brain the uh pre-optic nerve I think
you can actually lower the body
temperature of a mouse and um there was
a team in Harvard um Sinisa Veratin who
did just that in the mice and he lowered
the body temperature of the mice I want
to say by 3° C or some order of
magnitude
>> and then he just looked at their
methylation clocks, multiple organs, and
guess what? Very strong effect. So the
mice whose body temperature was lowered,
they really aged substantially more
slowly than a control mouse. You know,
to me that was very interesting.
>> Well, their metabolism is probably
slowed inflammation because if you're
going colder,
vasoc constriction also happens, I would
assume.
>> Yes,
>> that maybe. I mean so inflammation maybe
>> it's it's interesting you know so I just
want to mention so um the benefits of
sauna and all of that are undisputed you
know but I just want to mention that
>> um maybe lowering your core body
temperature by a degree or so could be
beneficial who knows you know
>> during hibernation animals that
hibernate
>> yeah same thing there have been a couple
of studies that um suggest um that
there's um a slowing of aging. Um we did
such a study at UCLA. We looked at
marmmets in um Colorado, I think. Um and
um sure enough, during hibernation, the
methylation clocks um didn't advance,
you know. So,
>> yeah. So interesting.
>> It is. It's interesting. I think I think
that things kind of just you know just I
think people need to realize that just
normal metabolism normal neuro you know
your firing of you know your cognitive
function and you know neurotransmitter
firing away all this stuff is producing
damage yes you know so if you're just in
if you're just in this slow everything
down um I say co cold I associate the
cold with slowing it down um but at
least in the hibernation state for sure
everything slowed down
>> and so that would kind of make sense
that you're kind of just slowing the
whole process, you know.
>> Yeah, makes sense.
>> So, um, sleep is something that you and
I were discussing off camera where
there's just not a lot of evidence. We
all know sleep is good for us. We'd like
to see more evidence. I mean, there may
be some observational studies, but there
are lots of confounders there.
>> Yes. So, I worked with a team at UCLA,
uh, Judith Carol, um, and she looked at
sleep disturbances in the Women's Health
Initiative,
um, and other cohorts. And sure enough,
um, people who report u severe sleep
disruptions, these people exhibited
increased epigenetic age. No surprise
here. I mean, it was a um, observational
study, you know. Um I know um that
people are looking at that you know
especially now we have these wonderful
tools for tracking sleeping. So I hope
somebody will do the obvious study you
know correlate the hours of deep sleep
the hours of REM sleep with epigenetic
aging measures. I think it will be
exciting but I'm just not aware of any
study at the moment. Yeah.
>> Yeah. I think I think we know that
>> sleep deprivation chronic sleep
deprivation increases inflammation
changes your appetite people gain weight
too. I mean so there's all the reasons
why it would accelerate aging and and
that would make sense. Um but yeah I I
don't know that there's enough evidence
looking at the specific stages of sleep
and there's there's a lot to tease apart
there and you know a lot more research
to be done in that area.
>> Yes. But another area that's very
exciting has to do with our mental
health and our our social relationships.
>> Yes.
>> Right. I mean that's
>> this was the biggest surprise to me in
the last 6 months perhaps. So I um need
to tell you I'm not a social scientist.
I don't study behavior. I really am not.
you know I'm so anyways there was a um
researcher at Harvard um
Laura Kachinsky or I I butcher her last
name but um she is um a very rigorous
scientist and she wanted to evaluate
whether what she calls uh I think a
social cumulative advantage um which is
a measure of um how connected you are in
the community your social behavior your
your friends, your community. Anyways,
how does that affect biologic aging? And
this is similar to the vitamin study we
just said. We it's got to have an
effect, right? I mean, so we all know
loneliness is the big killer in the
elderly at the level of smoking, right?
You you don't want to be lonely and
socially deprived. So anyways, um she
did a very rigorous study, large sample
size and she evaluated everything a
researcher would evaluate. So what am I
talking about? Um you want to evaluate
cortisol levels, various um hormones
that measure stress. You want to measure
inflammatory markers, you know, IL6 and
um various other readouts of
inflammation. But fortunately she had
enough research funding apparently to
measure methylation because um I say
that because um if I had been a
researcher I would have focused on urine
and blood for measuring hormones and
inflammation and for methylation I would
have I would have advised that don't
even measure it because I just don't
think you pick pick that up. And why do
I say that? Why? Why would um your
connectivity, your friends, your
relationship with your spouse and your
family
um why would that translate to changes
on the DNA me molecule in in blood, you
know, think think about the mechanism.
It's so far removed.
But anyways, fortunately she did do this
study and the great surprise to me was
the methylation readout dwarfed the
other readouts. If anything, the other
readouts didn't work. So grim age again
picked it up. People who have this uh
who are blessed really by having
wonderful family relations, community,
just this social advantage, you know.
Sure enough, their grim age was reduced.
So I um it really taught me something.
Yeah.
>> Um do you do you know how much it was
reduced? Do you remember?
>> No. You know, my problem is I only ever
look at P values. I'm a statistician.
[laughter]
>> I know everyone always wants to know how
many months, but I just go by P value.
>> You know, [laughter] there's a lot of
there's a lot of things here. I had
Arthur Brooks on and you he talks about
the science of happiness. He's amazing,
by the way. If you
>> don't follow him on X, you should. He's
got really great, you know, science out
there. But, um, and Richard Davidson's
coming on the podcast. He's at Harvard
and he's been involved with the Harvard
Health Study looking at how social
relationships and happiness really do
correlate with longevity and why.
>> Yes.
>> But, you know, if you think about the
flip side of that, the loneliness and
not having those social relationships,
there's also the possibility that the
relationships were unhealthy and so
people separated from that. You know,
there's so there's stress probably
that's involved in that equation. Yeah.
Too. um loneliness itself has been shown
to increase stress, you know, as as was
picked up on this this study and others.
But um there's a lot of I think nuance
there with respect to, you know, if
you're someone that has a lot of social
relationships
um versus someone that doesn't. And like
a lot of times you look at the people
that don't, there's usually some trauma
too, right? And that definitely would
cause a a stress or that's a stressor.
>> Oh, I couldn't agree more. If you're in
a toxic relationship, get out. Of
course, you know, don't tolerate abuse.
I mean, just uh for sure, you know,
>> but those things probably make leave
their mark on the epigenome, that
stress.
>> Yeah. I need to tell you, I always like
studies that actually show the opposite
from what I report. I want studies that
show that people who are terribly
stressed and depressed and don't sleep
well that they don't age too fast. You
know,
>> have you seen that study? [laughter]
So I'm always happy when uh a sleep
study shows only a weak effect, you
know, and so [laughter]
because I'm rooting for these people,
you know, but um yeah um I'm I'm not
sure. Um let me um say something about
the elderly. Again, loneliness is the
big killer in old age. Um and
unfortunately geriatric patients are
often isolated. you know, many of their
friends have died and um what to do
about it. Um and there have been very
nice studies in Japan, of course, where
they deploy various robots, you know, to
entertain people. And um
>> the robots are coming. the robots are
coming, the companions, you know, and um
maybe to a western audience this is
culturally a little bit alienating, but
I look at it as an opportunity because
maybe this AI revolution, you know, um
and then upcoming robotics will give us
companions at least to fill this urgent
need to engage a geriat geriatric
patient. I I just think it's better if
they interact with something as opposed
to just sitting in a chair, you know.
>> Yeah. Ideally, their kids would come
visit them, but I guess, you know,
that's not always the case. It's
>> just not realistic, you know. We many of
these um jobs um um that deal with
geriatric patients are underpaid.
There's a shortage, you know. So, we
need to think of creative ways of
addressing really this need, you know.
Um Yeah. Well, let's talk about I want
to talk about give, you know, we're
talking a lot about these diet,
lifestyle,
healthy, unhealthy patterns of living
that affect the way we age. And now we
have a tool that we can use to kind of
give us a concrete number to give us
more data and more of an understanding
of how we're living and how um that is
affecting the way we age, right? And
this is obviously used at the level of
research quite nicely, but it's also
that's something that's available to the
consumer. And I think a lot of people
that are listening to this, we do have
researchers listening, but we also have
just people interested in their health
and interested in living healthy. And
everyone's coming from a different
starting point. Some people are
overweight and obese and and the thing
they have to focus on is weight loss.
That's like focus on that and then
everything else can come after, right?
Um, some people are smokers and they
need to focus on quitting smoking. Some
people are not sleeping and they need to
sleep. Some people are not exercising
and they need to exercise, right?
Vitamins, minerals, all these things
come into the equation. Some people want
to do all of it. They want to do
everything they can. They really want to
feel as good as they can, age as good as
they can, and give themselves the
potential that they have to age the best
way they can. And I'm definitely one of
those people. I know a lot of listeners
are one are in that category. And so I
think the excitement for them is they
want to go out and perhaps try to
experiment with some of these tools that
are available to them and get a baseline
test of their DNA grim age or something
and see where what their biological age
is and do they have room for improvement
and can they start to improve things and
then see that improvement. What what
would you say to those people like in
terms of like first of all finding a
reliable test? Do they have to go out
and and do a couple of tests to make
sure you're getting the same age at
baseline to make sure it's a reliable
test at first? And and is something is
it something that you think people can
use? Let's say they find a reliable
test. They establish that they got the
same close to the same age a couple of
times. Then can they perhaps start doing
the cycling for 6 months and improving
their V2 max? And then also in addition
to measuring their either they measure
their V2 max or they measure an
estimation of that which is probably a
lot more accessible to people. They can
go out and do a 12minute run test on a
flat track and do the equation get an
estimation. It's kind of what your Apple
Watch does and a lot of wearable devices
>> but also add this DNA grimage and other
perhaps you know test of these
epigenetic aging clocks in there.
>> Yeah. Um well um I would say several
things. First of all, unfortunately,
these tests are expensive. They cost
several hundred dollar. And um I always
say you don't need to measure anything
on yourself to know that you should stop
smoking and exercise and eat vegetables,
you know. But interestingly
um longevity doctors um always tell me
that an epigenetic clock measure um
leads to better adherence because I you
know I go to conferences and then uh
longevity doctors approach me and they
thank me for developing epigenetic
clocks and I ask them well what are they
good for for in your practice you know
and that's what they say is number one
uh use case that people who measure it
they are better motivated to stick to
various regimens you know um um it's
important to again highlight the costs
because um companies are trying to
develop cheaper readouts um which I very
much applaud um I I just want a $50 test
and what I can tell you is
technologically this is fully possible
it's just nobody has really put their
mind to it you know to really offer that
I think you know but I mention it
because um companies will work on that
and um what it then leads to is a
different clock. So um when you go out
there and you look at different
providers they may offer clocks that
have been less characterized um in the
literature. I'm not saying these clocks
are worse in any way. It's just there's
not that the the same level of
literature. We discussed earlier today
there are these five clocks that
everyone uses um why they all use a
particular particular technology the
so-called illuminina array
and um also do need and pace everyone
uses that technology and therefore um we
can leverage legacy data that have been
collected over the last 10 years you
know to see well what is the effect of
eating vegetables or exercise whereas if
you lower the cost you don't have these
legacy data so less characterized you
know
>> where should someone if someone wants to
get one of these tests done perhaps they
have the money and they can afford it
and they want the motivation because I
absolutely agree that data does motivate
you um what what should they look for in
terms of the they want to make sure it's
one of those tests that use the
aluminina array they want to make sure
it's the reliable does it have to say
like DNA grim age does it have to say
pheno age uh the duadin and paste like
how does someone navigate
[clears throat] that world and try to
find the most reliable test to use.
Yeah, I want to tell you that overall my
um um um reading of the community is
that there are several good providers of
tests really you know because the beauty
of this illuminina array is that it
follows a very standardized protocol you
know and um uh many years of research
went into how to pre-process the data
how to optimize the signal versus
technical noise you know that has been
standardized. So I I think um as long as
you go to a lab that has experience with
generating these data, you're in really
good shape, you know.
>> Yeah.
>> And and why would people not want to go
out and use the Horvath epigenetic agent
clock for their biological age?
[laughter]
>> No. Um you know, when you use an
illuminina array, they they give you the
Horvath clock. They give you they give
you they will give you a hundred
readouts. If anything you may get
traumatized by what they give you.
Remember I started discussing various
protein markers CRP or um famous markers
like plasminogen activator inhibitor one
or anyways various famous proteins also
get estimated with methylation you know
um and maybe if I um want to mention an
very important innovation in the last
year really people use methylation to
estimate the ages of different organs
you know so it's a heart measure but
they will say your kidney is older or
your lung you know so that's where the
field is at developing um organ specific
uh methylation markers and
>> and those are consumer consumer
available as well
>> that's already available to the consumer
you know so you may end up with a report
50 pages 100 pages you may be
overwhelmed by it you know um but um you
don't need to obsess too much about um
who does the analysis because as long as
you have access to the data you could
then apply these latest tools that are
um being developed to analyze it. You
know
>> how would you do that?
>> You know there are web pages you upload
the data to a web page and it outputs
the results.
>> Like what web page?
>> Yeah. Um I started a um nonprofit
foundation. It's called Epigenetic Clock
Foundation. I know they have a
calculator where people upload data and
they get an output but um I just want to
emphasize there are many other um
outlets you know so you can do some
Google searches on who offers that.
Yeah.
>> Well I've I've kind of not
>> I think based on our last conversation
and my skepticism on you know using
these clocks at the on the individual
level and then trusting the consu what's
consumer available. I haven't really
experimented with them since it's been
years. And so now I we were talking a
couple of weeks ago and I was going to
I'm going to do some experiments, but we
didn't have enough time two weeks to to
do all this and come on the podcast and
talk about it. But I'm now interested
because of all the progress that's been
done in the field and in including the
consumer available tests that are out
there um in you know seeing seeing
seeing what I get from my my data um and
see what room for improvement I have and
whether or not I it does get picked up
because again I'm already healthy and I
do take a lot of supplements already. So
>> yes,
>> I want to briefly mention the most
obvious medical use case perhaps. It's
really finding people who age faster
>> um and then thinking about what to do
about it. And we talked about various
interventions. The problem with you and
me is we probably are already optimized,
you know. Um let's um um I would be
surprised if you learn anything new you
know um but maybe you start a completely
different regimen and then then it would
be interesting how does it affect your
methylation readouts you know
>> right and then probably presumably don't
want to measure it when you're sick or
>> yeah maybe um let's talk a little bit
about variability because they have also
been major insights that surprised me um
I'll start maybe with a background. So
um we talked about these principal
componentbased versions of clocks such
as PC grim age that was used in the
cosmos multivitamin study and anyway
these are very uh reproducible
and um I to give you a number let's say
you measured that marker two days apart
you you you um measure PC grimage on
Monday and then another measure on
Wednesday and nothing has happened. I
would expect a technical variation of
maybe four or five months perhaps and or
two months. It's a few months, you know,
and um so this is just technical
variance, you know, but um and and um um
but um um other clocks um um do need and
pace is slightly less robust but also
very high technical reproducibility, you
know. Um however, if you use different
types of clocks, you will get different
measures. So if you take Grimage and
then compare it to what people call
Horvath pant tissue clock you may get
very discrepant results because um they
measure different aspects of biology.
The Horvath pantissue clock is very good
for stem cell biology um hematopoetic
stem cells precursors of leukemia that
type of biology just not good for
mortality risk you know. Yeah, I think
that raises another question in my mind,
especially for people and consumers that
are interested in maybe measuring some
some of these clocks and seeing where
they're where they're at. Um, and if
they're going to do any interventions,
where they're at after the intervention,
but you know,
which clock is best. So, are we talking
about like if you're wanting to look at
the douadan pace and the the pace of
your aging um versus your DNA grimage,
right? I mean, what is
Maybe you kind of need both almost or
>> absolutely I I would look at both you
know I really would it's a bit like the
example of a biochemical test in when
you go to a doctor you know do you focus
on hemoglobin A1C do you focus on cyatin
C or um give me all you know let me look
at it because they do give you different
lenses at the changes in the methylone
>> but you would you would predict and this
isn't some This is something that again
with some of these trials we're seeing
the do a dindenon pace is picked up but
then the grimage is not or vice versa
and it's the question then becomes how
these clocks were I don't know trained
and
>> yes
>> developed and what they're more
sensitive to and that's another thing so
if you are someone that loses a lot of
weight then you would you know both
would pick it pick it up but presumably
the one that's trained more on BMI would
be more sensitive. Yes, remember the
exercise study um um that we discussed
four and a half hours of bicycling
grimage was better than Dunid and Pace
you know and so we
>> inflammation right does grimage pick up
inflammation?
>> Yes. Yes. But you know we are really
learning about these clocks you know
because all of them were built with um
AI machine learning models and um we are
trying to understand what perturbs them
you know what kind of interventions
touch them and ultimately what the field
needs to develop is what we discussed
earlier surrogate endpoints for a
clinical trial because when you do a
clinical trial you need to tell you tell
the regulator what is the primary
readout you can tell them I look at 10
clocks you know so and and the very
fortunate situation is that um um
there's a biomarker consortium biomarker
of aging consortium that really
rigorously evaluates all of these clocks
um and also substantial um research
funding goes into that field there was
an announcement by ARPA our age to study
interventions but also to develop then
um biomarkers for tracking longevity
interventions you know and so I'm very
hopeful actually that um the science
will advance that next time you and I
talk you know I can tell you this clock
is the primary readout you know
>> how do you think AI might change
>> you know these clocks and development
and the you know progress in them as
well like are are you hopeful that using
AI technology will help you make them
better?
>> Yes, absolutely. And maybe to give you
some perspective, so Akalu in the lab
published Grimage 2019,
way before Chad GPT, before anything.
And now it's 2026 and Grimage still
seems to be the best mortality
predictor. To me that's deeply
frustrating because I want to see um um
step changes in these biomarkers and I'm
sure it can be achieved. Now the good
news is people have already published um
new clocks based on AI. You know they do
use large language models. Um I um one
person um um Lucas um um published what
he called Grimage version three but
there are no new clock systems age then
there's OMIC MH so these clocks have all
come out in the last few months and the
reason why I don't talk much about them
is because they haven't gone through
this extensive review by the community
you know but I fingers crossed you know
that any of these newer clocks are way
better than grim age. Why? Because we
need even better clocks for clinical
trials.
>> Yeah.
>> Mhm. I think
since we're talking about new technology
and you know it's something that I'm
super interested in as you know that is
and it's just this this concept that in
in that goes back to the Yamanaka
factors and basically the the birth of
these induced potent stem cells right I
mean Yam Chinya Yamanaka won the Nobel
Prize in was it 2006
>> for discovering you could add four
transcription factor proteins. These,
for people listening, are a type of
protein that can, you know, change the
way several different genes are
expressed,
>> activated, deactivated,
>> and he could add them to any cell, old
cell, a skin cell from an 80-year-old,
and revert that cell to a to a, you
know, pur potent stem cell state, which
is so cool.
>> Yes.
>> And fascinating. Yes. And you could just
sit there and think about that for hours
and all the things that it means and how
it happens and you know I mean just on
and on. So you know the the and we I
think we talked a little bit about this
in our last conversation which is you
know what happens to the epiggenome
when you reset it from like an older
more differentiated type of cell like
the skin to a stem cell. And it seems
like the epiggenome
changes right?
>> For sure. you know so um back in 2013 I
published the pan tissue clock figure
five in that paper showed yamanaka
factors reversed the age to a prenatal
state so so you take a skin cell from a
50 year old and um the epigenetic age of
an induced puripotent stem cells is a
negative number meaning prenatal you
know and of course so many people have
worked on the idea then to apply these
um Yamanaka factors briefly
um and briefly interrupted
reprogramming. There are many names in
that field. Juan Carlos Belmont um
Manuel Serrano but so many more who have
worked on David Sinclair famously who
who now um has a clinical trial for
optic nerve regeneration based on that
idea. Yeah, but um the idea being so
apply these factors or a subset of these
factors to rejuvenate organs and why
inter
>> rejuvenate but keep their their
identity, right? They're not going to
become a stem cell.
>> Exactly. Because you don't ever want
that skin cell forgets that it's a skin
cell or a liver cell that it's a liver
cell. And why is that dangerous to
cancer? That's a um great danger. And um
there have have been substantial um
developments. So on the one hand I
mentioned the study from David Sinclair
where he now administers
um adeno associated virus and AAV to the
eye of people who um really need to
regrow optic nerve or um and um the the
study apparently will start this year
2026. So the the longevity field is
waited waiting with a baited breath.
Will that succeed? It would be a triumph
for the whole field. [sighs]
There have been extensive
characterizations in mice. So which kind
of organs benefit if you target them um
and also in vitro. So we understand
quite a lot but um what companies
struggle with is where exactly do you
deploy it for what kind of condition
always keeping in mind um to ensure
safety.
>> Yeah. And there's questions in my mind
that are even more mechanistic you know
just because that interests me. Yes.
which is, you know, if you are if you're
taking an old cell that has these
hallmarks of aging, there's like 12 of
them now, right? You're talking about
mitochondrial dysfunction. You know,
inflammation is now even a hallmark. It
used to be just this amplifier that
still is an amplifier, but you know, you
have your proteostasis
isn't working right. So, it's um your
proteins are fold not folding properly
and they're also being not degraded
properly. You've got DNA damage, nuclear
damage, genomic instability, all these
things that are that happen with age in
older cells.
And if you're going to change if you're
basically just going to change the way
the gene expression pattern is in the
epiggenome, so to speak.
>> Yes.
>> Like how does that get rid of all this
damage
>> and what doesn't it get rid of?
>> Yeah. apparently it doesn't get rid of
all types of damage. Um the obvious
damage is of course um various somatic
mutations in the DNA if um you just
don't touch it. Um the impressive part
is how many hallmarks do get reset you
know um I seem to remember one aspect
that wasn't restored was tumier length
so that wasn't um
>> and also um even when it comes to the
epiggenome
c there are vestigages that don't seem
to be touched by that you know so
certain cytoines that
>> do not get completely reversed you know
so Um,
>> it's so interesting. Do Do mitochondria
get healthier?
>> Yes. Mhm. So, mitochondria
>> oxidative.
>> What about mitochondrial DNA?
>> Yeah. Uh, sorry, no, I I forgot. Yeah.
>> So, mitochondria get healthier. Yes.
>> Um, stem cells stem cells get
>> Yes.
>> rejuvenated or what do you what do they
just start working better? I mean what
>> um I want to um draw an attention
because most of our conversation was
about epigenetic clocks and now we talk
about other readers.
>> Yes.
>> Um it's important to distinguish because
>> um methylation clocks do detect a
benefit of interrupted reprogramming in
certain organs but not all. I just want
to alert
>> which organs do they not or which do
they do do detect? You know, I remember
um I'm trying to think of old
publications, but I remember in skin
there was a strong effect. I want to say
um also muscle, you know,
>> it's just not all organs. Um um and now
I'm talking about interrupted
reprogramming because as we said if you
go all the way you will find an effect
you know but I um I mention it because
um um when it comes to that um
intervention you really want to measure
many readouts that we discussed you know
so um above all organ function test you
know so depending on the target organ
you need to really establish that it
works Well, as an example, if you study
the liver, really measure the liver
functioning, you know, or kidney, you
know, that um just show functional
restoration on a molecular level. Um
there have been very detailed functions
of gene transcription rever um that
indicate that the gene expression
reverses
reverts back to a more youthful profile.
But there's a problem with that
statement that many people may not
appreciate which is um it's actually
very difficult to build clocks based on
gene expression. Um so what does it mean
that gene expression is rejuvenated and
the field has struggled with that for
many many years you know but um but I
can mention so people look at so-called
um mezenymal markers so um um some of
you may have heard epithelial messenymal
transition so
um change their phenotype as we age in
part due to inflammatory signals. So the
an epithelial cell forgets that it's an
epithelial cells. It thinks it's um
meenyal cell. Um but anyway, so so
that's a readout inflammatory markers.
Um um um we mentioned oxidative
phosphorilation. So various readouts
that convince a researcher okay the cell
seems to be younger. Mhm.
>> If we talk about the extreme case of of
making an induced pipotent stem cell, do
the somatic mutations persist in that as
well?
>> Yes.
>> That's disappointing
>> because you cannot touch it, right? It's
a DNA is changed.
>> Yeah. I mean, it's just
>> you you we got to solve that problem,
you No, but you need to ask a different
question perhaps that is has a hopeful
answer perhaps
>> which is do somatic mutations actually
matter
>> that's a and um now um to be clear um
cancer is often due to somatic
mutations. So if you say does cancer
matter of course it does but what
happens as we age all cells in your body
accumulate somatic mutations. They
really do
>> and the question is does that actually
translate to biologic aging? And
>> doesn't it depend where the mutations
are? Of course, and you already asked
the right question because most of these
zomatic mutations have zero consequence.
That's and I love that actually.
By the way, the same statement holds for
methylation. As I mentioned, millions of
changes, but fortunately, many of them
don't matter. But same with somatic
mutations you know and um when you ask
aging researchers how important are
somatic mutations for true blue aging
you know you will get different answers.
So some people will say it's hugely
important and then there are other
people will say it's negligible. It um
the field is really split on that
question.
>> Yeah. I mean if you're getting somatic
mutations in regular regulatory parts of
the genes or even you know parts that
are
promoter whatever I mean you'd think
that you start to have dysfunction and
level of the proteins right things
aren't going to work properly but again
if if is the key word if you get them in
those regions so you would think the
more I mean obviously if you get more
and more of these mutations then the
chance of you having it in a part that
matters goes up right like
>> for Sure. I mean, we just to be clear,
we don't want it. The question is uh how
bad are they? Let me um turn it around
and ask a question to you and the
audience.
>> Imagine you had a way to completely stop
somatic mutation. You have the perfect
therapy. Would you stop aging?
>> I mean, can't we use crisper to sort of
I mean, if you if there was a way you
could every time you got a mutation just
use crisper to change it.
>> Yeah. And also coming back to DNA
repair, right? So you you let's say you
have ways to improve DNA repair.
>> Um I'm asking the question because um um
my answer is the following. I think if
you stopped all sorts of um if you
completely stopped somatic mutations, I
think you would still age. Um I don't
have uh definitive proof, but I that's
where I'm at. You know, for me, um, a
lot of aging.
>> But would you age slower?
>> Yeah, no question. It has a benefit. You
would still age, you know,
>> still age for sure. It's not No,
>> but you would because, um, aging happens
at all levels. We mentioned the
epiggenome today a lot,
>> but also the transcriptto and the
proteome. Yeah. Right. proteins
aggregate and that protein aggregation
may have nothing to do with zomatic
mutations or even methylation you know
and so I mean damage accumulation
happens at so many levels and the debate
is in certain ways um which um how much
do we gain if we clean up damage at a
certain level you know
>> all the all the damage
>> so there's 12 hallmarks right that's why
I mean obviously genome stability is
just one right
>> so if you take care of that, you're
still got 11 more to take care of.
You're still going to be aging. But so
if you were to clean up all 12,
>> I mean, there's no doubt you have a
benefit.
>> Then what happens? I mean,
>> but you know, I liked our earlier
discussion about um let's say organ
transplantation because I'm looking for
a miracle intervention. I'm making
something up.
>> Okay.
>> Imagine somebody has a pill that really
prevents sarcopenia. you keep your
muscle strength. Could it be that this
benefits so many organs and suddenly we
increase health span by 5 years, you
know, or we have another pill um that
really um preserves your kidney
function, you know, how much do you
gain? So, I I like uh these silver
bullet dreams. You have one
intervention, you really improve one
organ and it have has massive benefit.
We know that. We know resistance
training absolutely helps you not only
maintain but increase your muscle mass
and that's hugely important for life
expectancy and quality of life. So I
mean I would imagine if you just
improved muscle function with age that
you would have an effect on
>> I'm I'm with you on that you know.
>> Yeah.
>> But let's now again talk about the 85y
old. So you let's say we have such a
pill. give them this intervention and um
you really even restore muscle
functioning, will they suddenly live 5
years
>> longer?
>> I hope they will, but I'm I'm just
saying that these are the interventions.
>> But what about their what about their
heart their cardiovascular disease risk?
>> I mean, if if if it's true that people's
organs age at different rates and there
is individual variation there. So you
know maybe maybe my heart is aging
faster than yours. Maybe you are more
susceptible to your brain aging more. I
don't know like if that is true. I mean
>> it is true.
>> It is right. I mean that's
>> we know that even from methylation
clocks. Yeah.
>> That their or that that even even within
a person and you know obviously their
diet and their lifestyle everything's
like it should be the same affecting the
same organs the same but it doesn't
right. Yes. either it doesn't or there's
other things that are that are happening
um that we don't quite understand. But
um where was I going with this? Yeah,
that basically if our organs are a aging
at different rates then you know
obviously the the muscle would only
affect the people that are going to die
from their falls or whatever. You know I
I I don't know. Yes.
>> Um I think I think it's the uh it's an
interesting it's an interesting question
in terms of like what organs are aging
faster in you and you know there's
biomarkers that can help you understand
that risk but the aging clocks that is
something that people can now go and
test right
>> yes that's where the field is at so um
and now I'm talking about the biomarker
field in general so um people have
developed um protein markers of various
organ orans which is the obvious thing
you know organs secrete various proteins
or measure them you know
>> the exciting aspect is that um the same
has happened at the level of um
methylation so people have methylation
readouts of different organs I'm not
saying they are optimized there's room
for improvement perhaps to be seen but
um that's how I envision really um
medicine 2.0 And O preventative
medicine, you measure many readouts of
organ function. You diagnose that
something is going the wrong way and
then you target it. You restore it. You
know, precision medicine really.
>> I even I even,
>> you know, I've done my my
gene array before and looked at there's
like all these different companies that
are able to go and look at your snips or
even your whole genome. And even those
tests when you when you get the raw data
back and sort of look at them, you'll
have genes that say, "Oh, you're
predisposed to coronary heart disease or
you know, so they're already sort of
targeting organs or neurogenerative
disease like Alzheimer's disease." So we
know there are even genes that are
involved in predisposing you to certain
diseases.
>> True.
>> That are based on your organs. And so it
makes sense that the methylation
patterns would also play a role in that
because they play a role in
>> Yeah. You know,
>> I want to briefly comment on that. Um
because I used to be an um a human
geneticist actually at some point I
studied genetics. Um and you're entirely
correct. Of course there are these snips
and also polygenic risk scores for
various disorders but I would like that
people know these associations are
absolutely minute more often than not. I
mean they are famous association
APOE4 for Alzheimer's. there's strong
association but I just want you to know
that if you have a a genetic risk for a
certain cardiovascular disease these
effects are absolutely minute and they
are dwarfed by you just walking your
10,000 steps okay I mean it's like I um
>> however interestingly methylation is a
far stronger signal than um snips so
epigenetics um order of magnitude more
informative than genetics, you know.
>> So, looking at the epigenetic organ
specific epigenetic clocks even.
>> Yes. It's it's just you can't compare
it, you know. I'm a health nut. I I
spent uh many hundreds of dollars on
various tests. Many tests have no use. I
just But I I haven't spent money on a
G-W was test. Um um I mean I did for
ancestry. I just want you to know that
it doesn't inform me personally, you
know. So I I just think we have better
readouts and we mentioned proteomics
clocks you know so and and above all
just your regular biochemist biochemical
markers you know um just go with what
the doctor orders there's a reason why
your medical doctor doesn't order a
genetic test for you know it's less
informative
>> right yes
>> you're you're not doomed if you have a
bad prognosis based on genetics you know
just
>> exactly absolutely not I mean there's a
lot of people that have APOE4 that do
not have Alzheimer's disease and there's
a lot of people with Alzheimer's disease
that do not have an ApoE4 alil. So
>> true.
>> It's not it's not it's not a
>> hopeful message. Yeah.
>> Yeah. Diet and lifestyle matter and
that's kind of the point of the
conversation that we had. We're talking
about these epigenetic clocks as a, you
know, biioarker readout that is a little
bit,
you know, more comprehensive than just
getting a C reactive protein or HBA1C or
even, you know, looking at your your
lipid levels because it can actually
look at your biological age, right? And
that's so cool. So, um, thank you so
much for for coming on. Is there
anything else that we need to discuss
that we didn't
>> get to um so much?
>> No, I think we covered everything. That
was a real pleasure. Yeah.
>> Have you done your your have you done
any of these biological tests on
yourself? You
>> Yes, for sure. Um
>> do you like the results?
>> Yeah, I do. You know, so um I remember a
pheno age result a couple of maybe half
a year ago was 13 years younger if I
remember that. I like that. So, I'm
actually doing well on various um uh
biologic tests.
>> How old are you?
>> I'm 58 right now.
>> Oh, you're 58. Wow, you look great.
>> I don't I look horrible. [laughter]
>> Thank you. But I look horrible.
>> Have you done the organ specific one?
>> Uh not yet, you know. So, yeah.
>> Okay.
>> I um again, I'm trying all sorts of
health behaviors. I actually don't need
any readouts, you know, for motivation.
I'm a bit of a health nut. So I don't
>> So what's your what's your what's your
routine? What do you eat? What like what
what's your health nut routine? Your
supplements?
>> Um I I go with validated interventions.
We we talk about omega-3, multivitamin,
creatin I take a lot. I By the way, I
love your podcast. I learn a lot from
you.
>> It's um Yeah, I started multivitamin
after you started talking about it.
[laughter] that motivated me. Um, from
you, I learned the importance of, uh,
having a cooling mattress for sleeping.
So, I implemented that advice from you.
>> Are you sleeping better? Do you sleep
better?
>> I think so. Yeah. But, um, by the way, I
love placebo effects. They always work.
Nothing wrong with that, you know.
>> I don't like no SIBO effects, but I love
placebo effects.
>> That's right. Yeah. So I um the reason
why I mentioned it I I do I think it
worked you know but uh I don't have hard
data on that you know.
>> Do you take vitamin D?
>> Yes
>> vitamin D. And you eat a lot of
vegetables exercise where how does that
come in?
>> Yeah I do every day 30 minutes you know
not too much you know
>> I follow routines you know.
>> Yeah.
>> I mean exercise needs to be a routine.
It needs to be part of your personal
hygiene.
>> Yes. I also take medications again
against high glucose. I'm I'm actually a
pre-diabetic because of my decades of
eating hundreds of grams of chocolate
each day. So I I
um but yeah, so I take something called
a carbos, you know, to um but um also I
take
>> Does that have any effect on aging? A
carbos has
>> I have no idea, you know. So yeah,
>> I I just um
>> Yeah. So anyways, um I take statins, I
take isettoype, you know, so
>> various interventions where there's very
credible evidence, you know, that they
move the needle. I'm always impressed by
people who swallow 120 pills, but it's
not me. You know, I take a
>> I take a lot, but not 120. Do you take
ubiquininal? If you're taking a statin,
you might want to
>> think about that because it statins
target the melonate pathway which is HMG
COA important for cholesterol synthesis.
That's why it's most widely prescribed
drug for lowering LDL cholesterol, but
also um that pathway is important for
making CoQ10 in your mitochondria. Um
and so that's something to consider as
well. So taking CoQ10, I say
ubiquininal, it's the reduced form
ubiquinone also does the does the trick,
but uh you might want to look into that
as well.
>> Thanks. I know I would learn something
from visiting you. Well do.
>> Well, Steve, thank you so much for all
your contributions to the aging field
and the ones that you continue to make.
>> Um people can look up your publications
and many many many publications.
Where else you you're on X? What's your
what's your
>> I have a handle prof
um my Twitter account is all about
epigenetic clocks and um and longevity
interventions. Um um but yeah um I want
to thank you. I think you um really do a
great service to the public to educate
them. All I can say is I follow you. I
listen to you. I think it's awesome.
>> Thank you. Thank you so much. I I really
appreciate that. Um, is there anywhere
else you want to direct people to
besides your Twitter and your
publications?
>> Um, no. Um, stay young. Um, um, try not
to be stressed too much, you know, and,
um, yeah, enjoy life.
>> Enjoy life. I think that's good.
[clears throat] Try not to stress too
much because at the end of the day, your
deadline
>> doesn't really matter, right? I need to
tell you. So the hopeful message about
stress is that short-term stress does
not seem to affect epigenetic clocks,
psychological stress. So I I always love
that.
>> Repeat it. Short term is that repeatedly
or just
>> like
>> So there's some literature that really
severe psychological stress, we're
talking now childhood
sexual abuse, perhaps even PTSD
that affects your epigenetic age. But I
always like it that um these short-term
stresses don't seem to touch you. So
which is a hopeful message for everyone
who is terrible
>> like being worried about a podcast.
>> That's right. I I have never deadlines.
>> Exactly. So I've never seen evidence
that this has a strong effect, you know.
>> Well, don't stress too hard. That's the
That's the bottom line. Thank you so
much for this conversation. It was a
pleasure. Yeah.