American Alchemy with Jesse Michels - The “Clock” That Can Predict Death | Dr. Steve Horvath
Episode Date: October 5, 2024Steve Horvath is a German–American aging researcher, geneticist, and biostatistician. He is a professor at the University of California Los Angeles known for developing the Horvath aging clock, whic...h is a highly accurate molecular biomarker of aging. Having a clock that’s able to predict age is incredibly important for longevity research and begets important philosophical questions that we discuss in this episode. Please enjoy this conversation with Dr. Steve Horvath. *** AMERICAN ALCHEMY is an original series hosted by Jesse Michels that explores the frontier of science and tech. Each week, we bring you exclusive interviews with some of the leading thinkers of our time. INSTAGRAM ➤ https://www.instagram.com/jessemichels TWITTER ➤ https://twitter.com/AlchemyAmerican EMAIL/BOOKINGS ➤ usa.alchemy@gmail.com SUBSCRIBE TO OUR CHANNEL: https://www.youtube.com/channel/UC7eOJzNRWY4l2UTDvIquxYg?app=desktop original music: https://open.spotify.com/artist/6LlLRudDi60Uy4jcmOSEs1 - steve horvath death clock longevity pan tissue epigenetic grimage biological age Learn more about your ad choices. Visit megaphone.fm/adchoices
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I always like when people eat hamburger and lots of sausages and they still live a long life.
Yeah.
Because I eat more salami than anyone you know, you know.
I've always felt that human life is too short.
What if there was a way for you to find out when you're going to die?
Basically, Final Fantasy, without the freaky visual.
Would you want to know?
This has been the life's work of Dr. Steve Horvath, an aging researcher, geneticist, and biostatistician at UCLA.
In 2013, Dr. Steve Horvath created the pan-tissue clock, the first of many epigenetic clocks.
That discovery garnered a lot of attention because it was so unexpected.
Unannounced and planned for...
Before we continue, this episode is probably reminding you of your own mortality and what's important in life,
subscribing to this channel.
So please hit subscribe to avoid any deathbed regrets.
We all know that every cell in the body contains a code called DNA.
called DNA.
But DNA is not static.
If it was, then all of the cells in your body would basically look and act the same.
So what differentiates your brain cells from those in your liver?
It's a little process called DNA methylation.
This involves a methyl group attaching to a specific genetic sequence on a DNA strand,
turning that sequence off.
So you end up with different cell types determined by which genetic sequences are turned on and off.
All seems pretty normal, right?
Well, it wouldn't be an episode of American Alchemy if it was normal.
So here's where it gets very weird.
Basically, by just knowing somebody's DNA methylation profile,
you can tell them how old they are within a very narrow standard deviation.
You can do this using epigenetic clocks.
Epigenetic clocks are basically algorithms.
And when you run somebody's blood through the algorithm,
you can tell them what their age is within a fairly narrow error margin.
And now the algorithms are getting freakishly close
to being able to tell somebody when they're going to die.
That gave rise to a new clock which we named after.
after the Grim Reaper because it's our best mortality risk predictor.
So it's called Grimm age clock.
I actually have a similar test upstairs called True Age, but truthfully I'm a little afraid to take it.
So why is any of this stuff so important?
Well first off, knowing when you're tracking to die might be the first step in prolonging your life.
The second and possibly even more important point is that this might be the key to progress
in general longevity research.
Defeating or slowing aging is really one of the most important.
important tasks of our generation.
So take a listen to the cold, hard truth.
Is that death knocking at your door or just the Amazon delivery guy?
Don't wait to find out.
Hit subscribe, leave a comment, and be inspired by this week's American alchemist, Dr.
Steve Horvath.
Maybe you should interview me.
Do you want to talk about the history of epigenetic clocks,
maybe define what they are for an audience that might be unfamiliar?
I define an epigenetic clock as a prediction model that you
uses methylation to estimate age.
We had found that using some saliva,
you can very accurately estimate the age of a person.
But then two years later, I published a paper
that describes an epigenetic clock
that applies to all human cell types, all tissues, all organs.
And the so-called pan-tissue clock.
Then the next big challenge was to see,
does it predict lifespan?
Do they predict time to heart disease and many other questions?
The short answer is yes to all.
So yes, they do relate to aging phenotypes, one would say, aging conditions.
That gave rise to a new clock which we named after the Grim Reaper because it's our best
mortality risk predictor.
So it's called Grimm age clock.
Now all of the clocks I described apply to humans.
Can't we develop a clock that applies to?
all species. That work really culminated in a pre-print that we just posted. We call it the universal
mammalian clock. This feels like kind of this very important maybe Archimedes lever in terms of
longevity research. We've spent billions on diseases like cancer, Alzheimer's, and Parkinson's, all of which
are very important to investigate, but almost nothing on figuring out fundamentally why we age.
The reason we can't make progress in longevity is the fact that we can't run clinical trials on
longevity. Previously, you would have to do an intervention with somebody and then wait and see,
you know, when they died, and that would take like a really long time. This seems really effective.
You can effectively measure somebody's biological age or you can predict when they die within a pretty
narrow error margin. And you can measure whether an intervention, you know, better sleep or taking
DHEA and metformin, which is an actual study that's been done by Dr. Greg Fahey, can actually
affect somebody's biological age and you can basically do that in pretty short.
time frames, right? Yeah, that's right. I think people don't appreciate how expensive clinical
trials are, especially for aging studies. Let's say you give a 50 year old this treatment,
and then in theory you need to follow them 40 years to see when did they die, what did they
die from. Contrast that with a normal disease like diabetes. You can have a treatment group that
all takes a specific medication and a control group that doesn't. And then you can basically measure
the blood glucose of the two groups and see if the treatment was effective. With longevity,
that's basically impossible, but now your epigenetic profile is a proxy for death.
The technical term is surrogate endpoint.
Being able to run trials on treatments, interventions, lifestyle changes, and figure out what
can make you live longer is an incredibly important thing.
The hope is that somebody finds a new anti-aging treatment and we draw blood samples
before the treatment and let's say one year or two years after the treatment and then we
detect that their epigenetic age is reversed by a certain number of years.
Real quick, let's just distinguish between DNA and epigenetics.
So you have a kind of underlying static DNA of epigenetics.
Seems somewhat confusing because I feel like a lot of people still have the preconceived notion
that genetics don't change over the course of a lifetime or switch on and off.
Genetics is static.
You get born with a certain DNA sequence.
you know, and that sequence is the same in every cell of your body.
However, there are chemical modifications of the DNA,
and they in certain ways modulate the genes.
They tell a gene whether it should be turned on or turned off.
They tell your neurons that they are neurons
and your blood cells that are blood cells.
And these chemical modifications do occur, you know.
for example, in response to stress factors, if you smoke a lot.
Epigenetics then play a role in terms of cell differentiation
and cell formation from sort of a more primordial stem cell state.
Yeah, exactly.
You know, if you don't have methylation, you wouldn't be able to develop.
You know, so the stem cell could never differentiate in other cell types and tissues and organs
unless there was methylation present.
It is fascinating though that it's sort of a constant rate of methylation that maybe you can change at the margins by not smoking or taking DHA metformin or, you know, on either side.
But it sort of makes me speculate that maybe there's some constant force in the universe that's causing methylation over time.
Maybe something like gravity or something like that.
For whatever reason across almost all mammalian species, DNA seems to methylate at a pretty consistent pace.
and correlate with age.
It's almost as if each species is pre-programmed to die
in the same general age range.
So this begets all sorts of important questions.
Does DNA methylation cause aging?
If it doesn't cause aging, why is it correlated with aging?
And if methylation does cause aging,
why does this thing that is very important
in cell differentiation basically kill us?
How is that evolutionarily adapted?
These are all very important questions
worthy of investigation.
You are right that there's this constant change,
But it's really after development.
So let's say in humans after age 20, it's remarkably constant.
But yeah, why is it that, let's say, after development, this constant velocity,
I call it the clock ticks at a constant rate?
Honestly, we don't really know, you know.
So my thinking is there are certain maintenance processes that are possibly quite constant.
then other people have speculated
that it could be
tied together with circadian rhythm
but my studies of circadian rhythm
don't really support it
so I don't think that explains it
whether it's gravity you know that's an interesting
question
I mean we will analyze astronauts soon
I mean I have some collaborators
who want to study astronauts
before and after
their space
travel, so that will be an interesting question. People would think it's increased because the thinking is they might be exposed to cosmic radiation.
Sure. But our studies indicate that radiation, like x-rays and so on, really do not have an effect on the meth alone.
How do we get more people studying interventions and doing IRBs?
It would be good to use these biomarkers in human clinical trials.
Ideally, one should really open up the area for crazy ideas, right?
A lot has to do with regulatory burden, you know.
But in theory, you know, if there were ways to reduce red tape, lower costs, you know,
and then open up the field.
But also be good for clinical trials of other drugs,
because if a lot of diseases are sort of downstream of aging
are caused by underlying aging factors, you know,
it would be good to know that something that maybe cures depression or, you know, psychosis
or, you know, whatever you're being treated for is also not aging you.
Yes.
Maybe helping, you know, the kind of your underlying longevity.
Yeah, I couldn't agree more, you know.
Like, if I planned a clinical trial, I would always collect some so-called EDTA blood tube,
you know, a tiny amount of blood, and then just run this, an epigenetic clock on a
Why? Because maybe I got lucky and this anti-psychotic treatment or whatever treatment it is actually has a
beneficial side effect.
What is the most interesting work going on in biology outside of what you're doing with epigenetic clocks?
I really like, of course, these developments surrounding cancer therapies, immunotherapies. That's fantastic.
When it comes to the aging field, I like this idea of using young blood plasma.
These kinds of interventions of young plasma also seem to have an effect on the epigenetic clock.
I put out a pre-print with some collaborators, Harold Katcher and Akshay Sangavi.
They applied it to rats, and we really saw dramatic results.
We looked at liver, blood, heart and also brain.
All of these tissues, we found that the young plasma-based treatment greatly rejuvenated, the epigenetic age.
In some tissues, it was over 50% reduction in age.
In other words, this treatment seemed to cut the age and half.
But the results are so stonic, so dramatic that I'm actually very nervous about it.
But now we will do follow.
up studies. Hopefully I get a new data set, you know, replication data set in about two months.
Think of it as a pilot study. The pilot study results were to remember.
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you in must be 21 to enter let's talk about epigenetic reprogramming a little bit so what makes
you excited about that and how does that exactly work yeah so what makes me excited about epigenetic
reprogramming is that you have only a handful of genes really four or five genes or three genes
And if you modify them, it promises to, again, lead to dramatic age reduction.
And this idea has really spawned an industry by now.
There are several startup companies that pursue that idea.
For example, I'm involved with a company that was started by David Sinclair from Harvard.
David developed a modification, a protocol that rejuvenated and regrue the optic nerve.
Somebody may have a very damaged optic nerve because of glaucoma.
And then the idea is you administer certain viruses into the eye
and they then stimulate the regrowth of the optical nerve.
But you can apply this idea to any other organs.
You know, you could think of the sky is the limit of the application.
So it's a hot idea, very promising.
We will see whether it will pan out.
Many people think histone modifications are far superior to methylation
because it's more dynamic, you know.
Methylation is often more stable, which is a drawback, you know.
You want changes that are more dynamic, for example, responding to healthy diet or so, you know.
So why don't I study histone modification?
For no good reason, other than the technology was never quite developed, you know.
So I used cytosine methylation because the technology was ready.
for prime time and relatively cheap.
If you study histone modifications,
the costs are much higher, you know.
But it's a missed opportunity, you know,
because one really should develop epigenetic clocks
based on histone modifications.
If you're a young person trying to, you know,
make progress in this field,
what would you work on?
What would you study?
It depends a bit on your interest.
For the people who like,
bioinformatics, they are really in a situation where they have data on a silver platter.
There's so many opportunities to mine the data.
What kind of genes or proteins relate to maximum lifespan?
What kind of genes change as we administer our favorite anti-aging intervention?
Do you think we'll ever get to the point in bioinformatics and genetics
where we understand exactly which sequences map to which phenotypic traits.
Do you think we ever get there, or do you think that's this fundamentally elusive thing
or a misunderstanding of how genetics even works?
Yeah, I think it's a ladder, actually.
I mentioned it because I actually got a PhD in statistical genetics,
and I was hired as a geneticist at UCLA.
I've actually worked in that field.
It was a gigantic disappointment to me, right?
I mean, you can imagine I spent 10 years on genetic data.
And after all that research, I had absolutely nothing to show for.
Really nothing, you know.
I could have blamed the data.
I could have said, give me more funding, you know.
But if I step back, why did it fail?
The answer is actually that the signal is so weak.
So what did I do?
You know, I just said, let me move to other data types.
Yes.
And so because my answer is that if you need five minutes,
million people to find an association. What does it tell me? Negligible signal, you know?
Yeah. I want to find a signal when I analyze a data set of 100 people. Yes. That's my goal,
you know. I'm looking for low-hanging fruit. My hope was always, we study exceptional longevity
in centenarians or just generally longevity. And we find them these exciting genes,
certain snip markers. And I think it's fair to say this has been,
very disappointing.
Do you think some of this, I mean, the centenarian stuff, I think originally people would
assume it's like, you know, it's the Mediterranean diet, or it's, you know, sort of certain
lifestyle factors or, you know, the health of the individuals themselves.
And then I think we started to realize it's actually more correlative for like group usefulness
for the people or like the fact that they feel valued by their group and that they feel, you know,
part of a community and socially accepted and that sort of thing?
So do you think that might affect epigenetics?
Yeah, it's a very interesting question, actually.
I'm not aware of anybody who really studied it,
but I agree with everything you just said.
Clearly, loneliness is the big killer.
People who have lots of friends are very active.
They do so much better on many metrics.
And it would be interesting to also look at methylation, you know.
What's the extent of sort of lifestyle changes we can make now based on our epigenetics,
if any. Obviously there's a burgeoning field of like nutrigenomics.
Yes. Does that affect, you know, what you eat, when you should sleep, how much you should work out, that sort of thing?
I'm kind of a health nut, like most people who live in Los Angeles.
Yeah. So I do everything you just said. But having said that, the truth is these lifestyle choices have actually a pretty weak effect.
It's really shocking how weak effect is. This explains why all of us know vegan,
vegans who died fast early and then you also know the people who smoke and they live till
they're 90 you know like trump or warren buffett who eat McDonald's every day and they just keep going
yeah exactly i don't know i always like when people eat hamburger and lots of sausages
yeah they still live a long life yeah because that's my own uh sinful behavior i i eat more salami
than anyone you know.
Well, thank you for taking the time.
I really appreciate Dr. Horabath.
This was awesome.
Yeah.
I enjoyed it.
I actually learned quite a lot from you.
I don't know about that, but that's nice you to say.
I learned a lot from you.
Thank you.
All right.
All right.
Thank you for having us.
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