Core Pathways of Aging
post by johnswentworth · 2021-03-28T00:31:49.698Z · LW · GW · 125 commentsContents
Foundations Major Diseases Atherosclerosis Vascular Stiffening Alzheimer’s Sarcopenia Other Diseases Core Intermediates The DNA Damage <-> Mitochondrial ROS Feedback Loop Underlying Senescence Further Up The Causal Chain Transposons Mitochondrial Mutations Other Root Causes? Other Pieces of The Pathway Sirtuins and NAD Damaged Proteins Connect To Everything Recap None 126 comments
Most overviews of aging suffer from multiple problems:
- They dump a bunch of findings with no high-level picture.
- Many of the claims they make are outdated, purely theoretical, and sometimes even outright disproven by existing work.
- They are usually written by working academics, who are shy about telling us when their peers’ work is completely wrong.
- They are shy about making strong claims, since this would also implicitly mean denying some claims of the authors’ peers.
This post is a high-level brain-dump of my current best models of the core pathways of aging, as I currently understand them. I have no particular reason to avoid calling out claims I think are wrong/irrelevant, and I’m going to present high-level models without pages and pages of disclaimers and discussions about results which maybe disagree with them (but are probably just wrong/irrelevant).
Epistemic status: I would be surprised if none of it turned out to be wrong, but there are multiple lines of evidence supporting most claims. It is not highly polished, and references are included only when I have them readily on hand. My ideal version of this piece would have more detailed references, more double-checking behind the claims, and more direct presentation of the data which backs up each claim. Unfortunately, that would take enough time and effort that I’m unlikely to actually get to it soon. So… here’s what I could produce in a reasonable amount of time. Hopefully it will be wrong/unhelpful in ways orthogonal to how most overviews are wrong/unhelpful.
Foundations
First, let’s recap a couple foundational principles. I’ll go through these pretty quickly; see the linked posts for more info.
Homeostasis and “Root Causes” in Aging [LW · GW]: the vast majority of proteins, cells, etc, in the human body turn over on a timescale from days to months. At any given time, their level (e.g. protein concentration, cell count, etc) is in equilibrium on the turnover timescale - i.e. the rate of creation approximately equals the rate of removal. For any X with turnover much faster than aging (i.e. decades), if we see the level of X increase/decrease on the timescale of a human lifetime, then that is not due to permanent “accumulation of X” or “depletion of X”; it is due to increase/decrease in the rate of creation/removal of X. For instance:
- DNA damage is typically repaired on a timescale of hours or faster, depending on the type. If DNA damage levels increase with age, that is due to an increase in rate of damage or decrease in rate of repair, not permanent accumulation.
- Typical senescent cells turn over on a timescale of days to weeks. If the number of senescent cells increases with age, that is due to an increase in rate of senescent cell production or decrease in rate of removal, not permanent accumulation.
- Elastin is believed to not turn over at all in humans. So if we see elastin deposits increasing with age (e.g. in wrinkles [? · GW]), then that could be permanent accumulation.
Furthermore: suppose we have a positive feedback cycle. Increasing A decreases the rate of production of B, so B decreases. But decreasing B decreases the rate of removal of A, so A increases. If both A and B individually turn over on a timescale of hours or faster then this feedback loop as a whole will also typically operate on a timescale of hours or faster - i.e. count/concentration of A will explode upward on roughly that timescale. More generally, a feedback loop will usually operate on the timescale of its slowest component, exactly like the rate-limiting step of a chemical reaction.
Main upshot of all this: since aging involves changes on a timescale of decades, there must be some component which is out-of-equilibrium on a timescale of decades or longer (i.e. does not turn over significantly across a full human lifespan). These are the components which we’ll call “root causes”. Everything else which changes with age, changes only in response to the root causes. Reset the root causes to young-organism levels, and everything else will equilibrate to young-organism levels in response. Furthermore, a reset of the root causes only needs to happen once every few decades for humans - it fully resets the human to a youthful state, so ongoing treatment is not needed on short timescales.
The Lens, Progerias and Polycausality [LW · GW]: The lens of the human eye consists of fiber deposits which do not turn over significantly over the course of a human lifetime. New fiber layers are added over time, so the lens grows from around 3.5mm in infancy to 5.5mm in old age. The main clinical result is the near-universal need for reading glasses in old age.
This is a well-understood root cause of one symptom of old age. Furthermore, it is very likely independent of most other age related diseases - lens thickening is unlikely to cause cancer or heart disease, for instance. So, it’s an existence proof: there is more than one root cause of aging.
That said, there’s a fair bit of evidence that most symptoms of aging - including the major age-related diseases - share a common root cause, or at least a common core pathway. Some kinds of evidence of this:
- Most symptoms/diseases of aging are correlated - someone who has one early is likely to have others. Conceptually, if you do a factor analysis on aging symptoms, there’s one big factor for a bunch of diseases, even after controlling for the number of years one has lived. (“Aging clock” is a relevant piece of jargon here.)
- At the cellular level, a lot of diseases of aging “look similar”, and involve similar pieces. There’s a decrease in cell count, increase in damaged proteins/DNA/fats, and inflammation. We see roughly this pattern in Alzheimers, atherosclerosis, muscle loss, and many others.
- Certain simple interventions reliably produce many diseases of aging - for instance, progerias are single mutations which produce a whole “early aging” phenotype
- Conversely, certain simple interventions reliably delay many diseases of aging - e.g. calorie restricted diets.
… so these all point to shared underlying causes. This post will be about the “core pathways” most likely involved.
Major Diseases
These subsections will talk about various specific age-related diseases, mainly highlighting how they connect to the cellular processes we’ll talk about later. Two main themes to watch: reactive oxygen species and senescent cells.
Reactive oxygen species (ROS) aka free radicals are produced in greater numbers in old age. These are short-lived, highly reactive molecules. They react with all sorts of things, oxidatively “damaging” whatever they hit, including proteins, fats, and DNA.
Senescent cells are cells which have partially shut down in a programmatic way, triggered by some sort of “stress” on the cell (e.g. DNA damage, exposure to harsh chemicals or radiation, etc). They pump out inflammatory signals (called the senescence-associated secretory phenotype, or SASP). Eventually, they’re removed by the immune system.
In later sections, we’ll see that these two are tightly coupled. For now, we’ll talk about how they seem to underlie a variety of age-related diseases.
Atherosclerosis
If you dissect young and old mammals, one of the most obvious internal differences is in the blood vessels:
Mammals of any age have “fatty streaks” along the walls of the vasculature, which are exactly what they sound like. (These are the slightly lighter patches in the pictures above - more obvious in the older aortas, but faintly visible in the young pair as well.) In older mammals, the fatty streaks tend to be larger, until in old age they necrotize (aka die) in the middle and turn into thick “atherosclerotic plaques” (the dark patches in the lower right picture above). These can block blood circulation, and sometimes a chunk of the plaque can break off and block circulation in smaller vessels; either of these can cause e.g. heart attack or stroke.
At any age, a lower-fat diet is associated with smaller fatty streaks and lower chance of atherosclerosis, though the streaks universally grow with age holding diet constant.
The big breakthrough in atherosclerosis came in the 80’s/90’s. It was known that a certain type of cell (called a macrophage) would hoover up fat from the bloodstream, then adhere to the cell wall when full, forming the fatty streaks. The missing puzzle piece was that the macrophages don’t just hoover up any random fats (there’s rather a lot of fat in the bloodstream and not that many macrophages; it would be like sweeping sand off the beach). They specifically hoover up partially oxidized fats. Steinberg has a great review of various experiments feeding into this discovery.
The upshot: streaks and plaques grow in old age primarily because the concentration of (partially) oxidized fats in the bloodstream increases in old age. These probably don’t have a very slow turnover time, so either the rate of (partial) oxidation of fats increases in old age, or the rate of removal decreases. Which is it, and what causes it?
The main candidate here is ROS: increasing ROS levels in old age increase the rate of oxidative damage to fats. (One interesting question: how does the relative increase in oxidative damage to fats compare to DNA/proteins? Do the numbers actually line up for these to share a source? I haven’t seen a solid Fermi estimate on this, I’d be interested to see one.)
Vascular Stiffening
Even aside from atherosclerosis, the walls of blood vessels change in old age. In particular they become stiffer.
In normal operation, the heart pumps out blood in discrete chunks - each heartbeat pumps out some amount of blood into the arteries. The arteries expand a bit to accumulate this blood, much like a balloon. And, like an inflated balloon, the arteries are at slightly higher pressure from this extra blood, until it’s pushed out through the capillaries and the cycle starts again with the next heartbeat. It’s sort of like a capacitor: the heart sends out blood at high pressure in sudden waves, and the arteries expand and contract to store the extra blood and smooth out the pressure variance.
If the walls become stiffer, then the arteries are less able to smooth out this pressure variance. From the heart’s perspective, it’s trying to pump blood into a hard container, which works about as poorly as you’d expect; this is one of the major causes of heart failure (alongside atherosclerosis). The vessels also become more likely to burst (i.e. aneurysm).
What causes the loss of elasticity?
The main answer seems to be oxidative damage to proteins in the wall of the blood vessels. The key experimental evidence backing this up is the effect of aminoguanidine (AG), a powerful scavenger of certain ROS: AG administration reverses age-related stiffening of the arteries. This is only temporary - i.e. the arteries go back to their stiff state shortly after AG administration stops - so it isn’t a root cause, but it is a link in the causal chain. Once again, oxidative damage likely caused by increased ROS seems to be the key causal intermediate.
(Please don’t go running out to take aminoguanidine. The side effects are serious, and the benefits are short-term - you’ll go right back to where you would have been as soon as you stop taking it.)
An interesting side note: many sources claim that a shift in collagen:elastin ratio is involved in stiffening of the vasculature. This seems to be based on a purely theoretical paper from decades ago, and the actual data doesn’t back it up, yet review articles and textbooks continue to mention it.
Alzheimer’s
The first and most important thing to know about Alzheimer’s (aka dementia, aka old folks losing their memory) is that it is not caused by accumulation of amyloid beta.
Decades ago, people noticed that if you look at the brains of old people with dementia, they usually have lots of plaques, and these plaques are made of a particular protein fragment called amyloid beta. Therefore clearly amyloid beta causes dementia. Pretty soon people were using amyloid beta plaques to diagnose dementia, which made it really easy to show that the plaques cause dementia: when the plaques are how we diagnose “dementia”, then by golly removing the plaques makes the “dementia” (as diagnosed by plaques) go away.
As far as I can tell, there has never at any point in time been compelling evidence that amyloid beta plaques cause age-related memory problems. Conversely, I have seen at least a few studies suggesting the plaques are not causal.
Meanwhile, according to wikipedia, 244 Alzheimer’s drugs were tested in clinical trials from 2002-2012, mostly targeting the amyloid plaques. Of those, only 1 drug made it through. Bottom line: they don’t work.
So what does cause Alzheimer’s? I don’t know; it’s not a disease I’ve studied in depth. I know plenty of studies find the usual culprits involved - inflammation, damaged proteins, etc.
I do know of one particularly interesting cluster of studies which found that the brain “opens up” during sleep, increasing flow of cerebral fluid to clear out whatever junk accumulated during the day - including amyloid beta. The flow takes place in “paravascular” spaces, i.e. spaces around the blood vessels, which widen during sleep. Given the age-related changes in blood vessels (e.g. thickening & stiffening of walls), it would make sense for this paravascular space to not open up as much in older people, and indeed that seems to be the case. Whether this has anything to do with dementia, I don’t know, but it is my current best guess for the main cause of the amyloid plaques. If true, this would mean that the plaques share their main root causes with changes in the vasculature.
Sarcopenia
Sarcopenia is age-related loss of muscle mass - i.e. old people becoming physically weak. Overviews often say it can be (at least partially) “reversed” via exercise, which seems to be fairly obvious bullshit aimed at making people exercise more. Bottom line: for any fixed amount of exercise, muscular strength will fall with age. (Obviously more exercise can still increase muscle strength at any age.)
Many sources will claim that lots of research has shown sarcopenia to be caused by loss of muscle innervation - i.e. problems with the neuromuscular junctions (NMJs). As with amyloids and Alzheimers, as far as I can tell there was never at any point in time any compelling evidence that NMJ changes are actually causal for muscle loss, and my current best guess is that they are not causal. However, research on age-related changes in NMJ structure did produce very shiny images, which I think is probably the main reason they received so much attention in the first place.
So what does cause sarcopenia? I don’t yet have a full picture here, but I can sketch out my current best guess.
Muscle cells are not normal cells; they’re mega-cells, a hundred times longer than a normal cell, with hundreds of nuclei all within the same cell. They need so many nuclei because molecules which would diffuse quickly from one end to the other of a normal cell would take far too long to diffuse across a muscle cell (diffusion time increases faster-than-linearly with distance); so, things need to be produced locally.
This setup also makes it difficult for an entire muscle cell to turn over. Instead, the nuclei turn over (along with all the usual protein/membrane/etc turnover mechanisms); they’re regularly replaced from “satellite cells”, a type of stem cell nestled in next to the muscle whose job is basically to crank out new nuclei from time to time.
In sarcopenia, one cross-section of the long muscle cell will fail first - a “ragged red” section - and then failure gradually spreads along the length. The failing section involves the usual culprits: ROS, mitochondrial deficiency (related to ROS; more on that later), inflammation signals, etc.
My best guess is that this is basically just how cellular senescence manifests in a muscle cell. One particular satellite cell is “close to senescence”, and produces nuclei which rapidly “senesce”. But since muscle cells are really a bunch of relatively-isolated components along their length (due to long diffusion time), this only results in one section of the cell failing. Eventually, the “senescence” spreads to adjacent sections via the usual mechanisms of senescence-induced-senescence (more on that later). Key characteristics of “ragged red” sections of the muscle cell - like high ROS, mitochondrial deficiency, or inflammation - are the usual characteristics of senescent cells, and sarcopenia probably shares its root cause(s) with cellular senescence more generally.
Other Diseases
This section briefly mentions a few other age-diseases which I’ve read a little bit about, but haven’t studied in as much depth. I’ll just give a few comments on how they tie in to the cellular processes discussed later.
Arthritis: arthritis is basically inflammation in the joints. I’ve heard plenty of claims that it’s caused by increasing numbers of senescent cells. This would make sense; senescent cell counts are firmly established to increase with age, and senescent cells secrete inflammatory factors, so put 2 and 2 together. On the other hand, I also heard a high-profile clinical trial based on this hypothesis recently failed; I don’t consider that especially strong evidence, since that could easily be due to something specific to the trial. I don’t know enough to have a strong belief on whether senescent cells are the main factor here, but it’s my most likely current model.
Osteoporosis: calcium regulation goes completely bonkers with age. I’ve looked into this only briefly, and my main conclusion is that it’s a confusing mess and I have no idea what’s going on. The most promising direction I’ve stumbled on was in a physiology class, unrelated to aging, when the professor mentioned that osteoblasts (bone-making cells and a major calcium regulator) are derived from immune cells and respond to inflammatory signals. Given that aging in general tends to involve low-grade chronic inflammation (most likely due to increasing numbers of senescent cells), “calcium regulation goes completely bonkers” seems like the sort of thing which would result.
Cancer: the key requirement for cancer is cells with oncogenic mutations. As usual, increasing cancer rates could be caused in two main ways: increasing production rate of mutations, or decreasing removal rate of mutant cells. There are plausible age-related mechanisms for both of these. On the production side, we’ll later discuss how genomic instability relates to ROS and senescence, and in particular the role of transposons. On the removal side, the immune system weakens with age, likely for the same reasons as everything else weakens with age. Also, in this case it’s plausible that an increase in the production rate of precancerous cells and/or senescent cells would slow the removal rate as well, simply because the immune system has limited capacity.
Cataracts: as with hardening of the vasculature, cataracts can be reversed by aminoguanidine, so the same considerations apply.
Core Intermediates
Now we get to the meaty part. At the microscopic level, there’s a handful of pieces which pop up again and again in age-related diseases:
- Oxidative damage to DNA, proteins, fats, etc.
- ROS
- Senescent cells
- Inflammation
- Mitochondrial dysfunction
Some of these have obvious connections. For instance, more ROS presumably lead to more oxidative damage to DNA/proteins/fats/etc. Some key questions here:
- Where are the ROS produced? Mitochondria are the top candidate - there’s a known mechanism for ROS production by mitochondria, as well as experimental evidence that mitochondrion-targeted antioxidants specifically reduce ROS-induced damage.
- How do the ROS and/or damaged molecules move between compartments, e.g. nucleus/cytoplasm/extracellular? I have seen very little on this, and consider it a major blindspot. I’m not sure if it’s a blindspot for the field or if I just haven’t found the right cluster of papers.
- Are the quantitative changes in DNA/protein/fat damage compatible with a single underlying cause? Do they match plausible estimates of ROS from dysfunctional mitochondria? Again, I haven’t seen Fermi estimates here, but I’d like to.
We do have evidence (from aminoguanidine and similar drugs; good overview here for protein damage) that ROS are causal for various types of damage.
Another connection: we’ve already mentioned that senescent cells release inflammatory factors, the so-called “senescence-associated secretory phenotype” (SASP). The one question here for which I haven’t seen a clear answer is whether increasing numbers of senescent cells quantitatively match age-related increases in inflammation. Drugs to remove senescent cells are a hot area right now, and should provide more evidence on whether senescent cells are causal for age-related inflammation.
So we have two clusters of probably-causally-connected processes. One of these involves dysfunctional mitochondria producing excess ROS which damages DNA/proteins/fats, and the other involves senescent cells inducing inflammation.
The really big discovery of the past twenty years was the connection between cellular senescence and ROS/mitochondrial dysfunction. Turns out, ROS, DNA damage, and mitochondrial dysfunction are all tied together in one bistable feedback loop, and cellular senescence is basically a state-change in that feedback loop.
The DNA Damage <-> Mitochondrial ROS Feedback Loop Underlying Senescence
The two key papers here are “Feedback between p21 and reactive oxygen production is necessary for cell senescence“ and “Mitochondrial Dysfunction Accounts for the Stochastic Heterogeneity in Telomere-Dependent Senescence”. Another group found basically the same phenomenon, but they found some weird differences compared to normal senescence which I think were probably artifacts of how they blocked mitochondrial function, so they’re less directly relevant to cellular senescence in the wild.
Here’s how the feedback loop works:
- A cell’s DNA is damaged, inducing a damage response. (p21 is the main signalling molecule which activates the damage-response genes.)
- As part of this damage response, mitochondria are shifted into a lower-efficiency state, producing less energy and more ROS.
- The ROS then further damage DNA.
At low levels of activation, the ROS do not produce enough DNA damage to make this loop self-sustaining. The cell stays in a low-ROS, low-damage state - the “normal” state. But once it passes some threshold, the positive feedback takes off, and the cell transitions into a high-ROS, high-damage state - the “senescent” state.
Notably, after a few days, the cell changes in some other (not yet fully understood) manner, locking in the senescent state. After this point, even if ROS are suppressed, the cell will remain in senescence rather than switching back to the normal-cell state. Transposons are one plausible candidate for this lock-in; more on that shortly.
The experimental evidence for this process is beautiful (I definitely recommend those papers, especially the second). And it neatly unifies all of the pieces we listed above: cellular senescence is a positive feedback loop between ROS, damage and mitochondrial dysfunction, and the SASP connects it all to inflammation.
There’s still one big question: why is this positive feedback loop active more often, for more cells, in old age? The whole feedback loop is fast, senescent cells are removed on a timescale of days to weeks, so there must be some upstream change either increasing the rate of triggering senescence (presumably by somehow damaging DNA, possibly via ROS, or inducing mitochondrial dysfunction) or decreasing the rate of removal of senescent cells. In fact, both of these do occur, although personally I think the increase in rate of triggering senescence is much more likely to be causal.
Further Up The Causal Chain
There are lots of stories about how various plausible root causes could, perhaps, trigger the senescence feedback loop. I think transposons are the most likely candidate, though mitochondrial mutations are a plausible mechanism as well. We’ll talk about both of those in the next two subsections. Most other proposed root causes can, I think, be ruled out at this point - we’ll talk about some of those in the “Other Root Causes” subsection below.
Transposons
A transposon is a gene whose main function is to copy itself. The LINE-1 family of transposons (most common active transposons in humans) consist of a protein which snips the DNA, and another protein which reverse-transcribes the transposon’s mRNA into DNA attached to the snipped end. (I’m glossing over some details here.)
These things are extremely common in the genome - more than half of human DNA consists of dead transposons. (“Dead” here means that the transposon mutated at some point in evolutionary history, so it’s no longer functional.) Fortunately, the number of non-dead transposons in the human genome is much smaller - even the highest estimates I’ve seen put the number typically below 100.
We do have mechanisms to repress transposon activity, most notably epigenetic mechanisms. Most DNA is usually tightly coiled up around little cylindrical proteins (called histones), where it can’t be easily transcribed. “Epigenetics” typically refers to modifications of the DNA and/or histones which make the coils tighter or looser, making the DNA difficult or easy to access. Most transposons are epigenetically tagged so that they’re kept tightly coiled most of the time. Indeed, an argument could be made that this is the primary role of epigenetics - it’s certainly what most epigenetic modifications are doing most of the time, since transposons fill so much of the genome.
There’s an obvious story by which transposons could be a root cause of aging. Most of the time they’re repressed, but every once in a while, one of them manages to copy itself. Once it’s copied, there’s no undoing it - the transposon count will only go up over time. Eventually, there’s enough active transposons that the repression mechanisms aren’t so reliable. At that point, the transposon protein which snips the DNA will be expressed quite a bit, resulting in lots of DNA damage - those snips are exactly the sort of damage which can trigger senescence. (Note: it’s a lot easier to snip the DNA than to reverse-transcribe, so I generally expect there to be a lot more snips than successful transposon-copy events.)
Setting aside this root-cause story for a moment, there’s also evidence that cellular senescence causes derepression of transposons. We’ll talk more about the details of that later, but the key idea here is that there’s a trade-off at the cellular level between repairing damage and repressing the transposons. When DNA damage is high, the cell temporarily shifts resources to repair that damage, deregulating the transposons. In senescence, the level of DNA damage is constantly high, so transposons go wild.
Of course, transposons themselves cause DNA damage (i.e. the snips), so eventually this can lock in senescence. That’s my current best understanding of why senescence gets “locked in” after a few days: with transposons driving the DNA damage, the cell will remain senescent even if ROS are suppressed. It’s a second senescence feedback loop, slower to start up, but permanent - once the transposons are active enough, the cell cannot leave senescence.
Unfortunately, this makes it difficult to distinguish the chicken from the egg. We know that senescence can cause transposon activity, but we also suspect that transposon activity comes first and causes senescence. We can’t test that hypothesis just by looking at transposon activity in senescent cells. In principle, we could test it by looking for an age-related increase in transposon count in non-senescent cells, but that turns out to be actually-pretty-difficult in practice. (Modern DNA sequencing involves breaking the DNA into little pieces, sequencing those, then computationally reconstructing which pieces overlap with each other. That’s a lot more difficult when the pieces you’re interested in have millions of near-copies filling most of the genome. Also, the copy-events we’re interested in will vary from cell to cell.)
One more thing to note about this model: suppose that a stem cell has a high transposon count, but not high enough to undergo senescence itself. That stem cell will pump out new cells, as stem cells typically do, and those cells will themselves be close to senescence. We should therefore see little clusters of senescent cells, each derived from one stem cell. This is where I expect most senescent cells come from in aged tissue. The “ragged red” sections of aging muscle cells are a good example - one satellite cell is near senescence, so it pumps out nuclei which rapidly senesce, and the section of the muscle cell near that satellite ends up senescing.
This picture also offers an obvious story for cancer - transposons are a major driver of mutations.
Mitochondrial Mutations
Mitochondrial mutations are the center of the “mitochondrial free radical theory of aging” (MIFRA); Aubrey de Gray’s MIFRA book provides an excellent (though out-of-date) summary of the model. Some parts of the model have been pretty well nailed down by evidence at this point - e.g. the idea that most core diseases of aging are mainly driven by ROS, which in turn are produced by mitochondria. The positive feedback loop underlying senescence even further connects symptoms of aging to mitochondrial ROS.
The main piece of the MIFRA model which still seems up-in-the-air is the idea that the root cause is mitochondrial mutations.
Background: mitochondria have their own separate DNA. There’s only a handful of genes on it; most necessary mRNA/protein sequence is supplied by the nuclear DNA. But the mitochondria’s little DNA is particularly prone to mutation - it doesn’t have the nucleus keeping it safely separated from the highly-energetic processes of the rest of the cell. The flip side is that mitochondria turn over frequently, separate from turnover of the cell itself, and they have quality-control mechanisms - e.g. if a mitochondrion isn’t producing energy (as indicated by low transmembrane potential) then it’s broken down.
A key idea hypothesis for the mitochondrial mutation model is that mutant mitochondria which are only partially defective aren’t broken down. In fact, under this hypothesis, such mitochondria have a replicative advantage, and can expand to take over the whole cell. This cell then becomes a “hotspot”, pumping out lots of ROS.
Today, we would expect that such hotspots are senescent cells - this degree of mitochondrial dysfunction should certainly be enough to induce senescence.
There is some evidence for this - for instance, mitochondrial mutants tend to take over whole cells, rather than being spread evenly across cells. However, there just aren’t very many of them - senescent cells outnumber mutant-mitochondria-dominant cells by a wide margin in old age (order of magnitude: think 10% vs 1%). Also, as we mentioned earlier, senescent cells don’t reproduce and do turn over, so even if mutant mitochondria took over one cell, they’d need to somehow expand to others.
This still doesn’t rule out the model entirely. Some possibilities:
- Maybe a small fraction of senescent cells are long-lived, and these produce enough ROS to induce senescence in a much larger population of cells.
- Maybe mutant mitochondria spread before the cell is cleared (there is evidence for exchange of mitochondria between neighboring cells).
- Maybe stem cells with some mutant mitochondria produce new cells which go on to rapidly senesce, much like we hypothesized for transposons.
On the other hand, it’s also plausible (I think more plausible) that defective mitochondria are negatively selected in healthy cells, and they only expand to take over in already-senescent cells, where all the mitochondria are already pumping out less energy and more ROS anyway.
Other Root Causes?
Telomeres
DNA has repetitive regions called telomeres at the ends . Each time a cell divides, the copying starts a little ways in from the end, so the telomeres get a bit shorter. Eventually, the telomere runs out, and the bare DNA end is interpreted as damage, inducing senescence. This has long been known to cause cellular senescence in vitro, and was hypothesized as a root cause of aging.
Indeed, telomeres are known to shorten with age. On the other hand, upregulating telomerase seems to do approximately nothing to prevent cellular senescence or aging more generally. What’s going on here?
Stem cells produce a protein (telomerase) which extends their telomeres. Since most cells are replaced regularly by stem cells, that should be enough to prevent telomere-induced senescence. But then why do we observe shorter telomeres in old age? The key result here is that DNA damage, and ROS in particular, shorten telomeres. In vivo, telomere length is mainly a measure of ROS damage, not a measure of age directly. So, while telomere loss can cause senescence, the main thing which causes telomere loss is not gradual shortening as cells divide, but rather ROS-induced damage.
So, telomere loss is likely involved as an intermediate cause (as a type of DNA damage induced by ROS), but not a root cause.
AGEs
Advanced glycation end-products (AGEs) are proteins which have somewhat-randomly reacted with a sugar in a Maillard reaction - the same type of reaction which browns foods and gives them flavor when cooking. These products are hypothesized to accumulate long-term in the body, since they can’t be broken down.
I don’t know whether there’s any evidence that these molecules actually accumulate long-term. (Just because they’re not broken down doesn’t mean they’re not simply excreted.) I haven’t seen direct evidence, but I haven’t searched very carefully either, and I haven’t seen direct evidence against.
The main argument I’ve seen in favor of AGEs as a root cause of (some) diseases of aging was from aminoguanidine. It seems like people thought it prevented AGE formation before they realized that it interrupted oxidative damage more broadly, and thus interpreted results from aminoguanidine as indicative of a causal role for AGEs. In hindsight, even if this had shown a causal role for AGEs, it would have ruled them out as a root cause: the effects of AG rapidly wear off once administration of the drug ceases, so it’s definitely not blocking any root cause.
Senescent Cells as Root Cause
For a while, people hypothesized that senescent cells accumulate with age without turning over, acting as a root cause. As mentioned earlier, the actual evidence suggests that senescent cells turn over on a timescale of days to weeks, which would mean this theory is wrong - senescent cell accumulation is not a root cause.
However, there is a saving throw: maybe a small subset of senescent cells are longer-lived, and the experiments measuring senescent cell turnover time just weren’t capturing the long-lived subset in particular. Results from senolytics (drugs which kill senescent cells) suggest this is also wrong: the effects of senolytics rapidly wear off once the drug stops being administered, whereas reversing a root cause should set an organism back to a youthful state longer-term.
Protein Damage, DNA Damage, Etc as Root Cause
Sometimes people suggest protein damage, DNA damage, etc, as root causes. These generally turn over on fast timescales, so... no. I expect that most of these people do not have any thought-out notion of what “root” means in “root cause”, and are just using it as a synonym for “really important”.
Other Pieces of The Pathway
This last section will briefly dive into a couple other aspects of the core pathways of aging which I expect people might be interested in, and talk about how they fit into the picture.
Sirtuins and NAD
David Sinclair published a popular book on aging a couple years ago, mainly talking about his own research areas. The sirtuins are one of the main key pieces of that research.
We mentioned earlier that, when damage is detected, the cell redirects resources from repressing transposons to repairing damage. Sirtuins are one such resource. They directly trade off genomic stability (including transposon repression) for repair capacity.
Notably, sirtuins consume the energy carrier NAD as part of their repair role. Lots of things use NAD as an energy carrier, switching it between a high-energy and low-energy state, but sirtuins actually consume it - the whole molecule is incorporated into a new structure. Usually the cell has rather a lot of NAD, but if the damage load is high and the sirtuins are doing lots of repairs, then it can be depleted. That leaves less of it for various cellular processes which use NAD as an energy carrier - including mitochondrial energy production.
This all fits neatly into our main model: high ROS-induced damage draws sirtuins away from transposon repression, so they become active. Meanwhile, the sirtuins’ consumption of NAD can interfere with mitochondrial function, resulting in more ROS production.
This also adds in one more piece: at younger ages, certain kinds of cellular stress (like radiation exposure or chemical damage from an inflammatory response to an infection) can also damage DNA, temporarily reducing repression of transposons. This probably won’t result in immediate senescence in most cells, but a few transposons may copy before everything goes back to normal. The aging clock ticks forward a little faster than usual, due to these events.
Damaged Proteins Connect To Everything
We’ve mentioned oxidatively damaged proteins many times now. What we didn’t mention was the numbers: in young organisms, perhaps 10% of protein is damaged. In old organisms, it’s more like 20-30%.
That is a percentage of all proteins. And almost everything our cells do is done by proteins.
Natural conclusion: efficiency of a very wide variety of processes will be thrown off in aging.
In most cases, this shouldn’t be too noticeable - we’re only talking about a 10-20% change, and random noise does that for most protein species anyway. And the body has lots of feedback loops in place to handle exactly this sort of thing [LW · GW]. By and large, biological networks evolve to be robust to 10-20% changes in protein concentrations. But, it does make things difficult for science: if there’s a 10-20% change in everything, then there are always going to be statistically significant age-related changes in everything, even though most of them aren’t actually all that relevant.
So, be warned: there’s lots of 10-20% age-related changes all over the place which mostly aren’t that relevant.
Recap
Here’s the core positive feedback loop again:
- A cell’s DNA is damaged, inducing a damage response.
- As part of this damage response, mitochondria are shifted into a lower-efficiency state, producing less energy and more ROS.
- The ROS then further damage DNA.
Since this is a positive feedback loop, it has two stable states: one state with low damage and ROS (the “normal” cell state), and one with high damage and ROS (the “senescent” cell state).
A few days after senescence is triggered, the cell’s transposons become active, copying themselves and further damaging the DNA. At this point, the transposon activity alone is enough to maintain the senescent state, and senescence is locked in. The cell will remain senescent until it’s cleared out by the immune system, a few days to weeks later.
What causes more senescent cells as we age? The transposon model says that transposon count increases with age - they are the root cause which permanently accumulates over time. Once the transposon count in a cell is high enough, it produces enough damage to trigger the senescence feedback loop. More specifically, we end up with stem cells with enough transposons to be just below the senescence trigger, and these stem cells produce new cells which rapidly senesce.
Senescent cells release inflammatory factors (the SASP) as well as ROS. These cause the bulk of age-related diseases. ROS damage to fats causes buildup of fatty streaks and eventually plaques in the arteries - i.e. atherosclerosis - eventually leading to blockage and strokes. Damage to proteins hardens the blood vessels, leading to heart failure and aneurysm. Chronic inflammation underlies arthritis and possibly osteoporosis. Senescence itself also leads to loss of cells, including muscle loss.
Finally, in very old age, the whole process can accelerate: ROS produced by senescent cells can cause damage in adjacent cells, inching them closer to senescence as well. The more cells senesce, the more damage they deal to healthy cells. Eventually the whole thing goes supercritical (though on a slow timescale), leading to an exponential acceleration of disease progression in old age.
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comment by dkirmani · 2021-03-28T03:21:49.772Z · LW(p) · GW(p)
(I made an account to post this)
We do have mechanisms to repress transposon activity, most notably epigenetic mechanisms. Most DNA is usually tightly coiled up around little cylindrical proteins (called histones), where it can’t be easily transcribed. “Epigenetics” typically refers to modifications of the DNA and/or histones which make the coils tighter or looser, making the DNA difficult or easy to access. Most transposons are epigenetically tagged so that they’re kept tightly coiled most of the time.
These mechanisms are small interfering RNAs (siRNAs) and Piwi-interacting RNAs (piRNAs), that increase methylation of the histones associated with transposons, making them 'tighter', or harder to access. According to the Wikipedia page for transposon silencing, these siRNAs and piRNAs are most active in the gonads. This makes sense, as it would avoid germline transmission of active transposons, allowing offspring to be born with a lower active transposon count than their parents.
After reading that, I wondered why on earth we don't have these transposon-suppressing RNAs coursing through our bloodstream in the same concentration as we do in our gonads. According to this paper, suppressing transposons also has the effect of suppressing neighboring genes, leading to a possible reduction in the organism's fitness. The same paper claims that having transposons could have beneficial effects on genome evolution, as transposons create regions of suppressed recombination around them, although I don't fully understand the reasoning behind this being good for organism fitness. Also, if suppressing transposons does have negative effects on the genome, that doesn't at all explain why it happens more in the gonads. Perhaps aging just wasn't selected against enough in the ancestral environment.
If nothing else, these siRNAs and piRNAs seem to be effective at making babies have fewer active transposons than their parents. If someone has injected old mice with a bunch of copies of these RNAs (probably wrapped in viruses first) and observed the results, then I can't find their paper published anywhere. On the off chance that the transposon model is correct, and that the cure for transposon proliferation really is as simple as an RNA injection, this is one experiment we can't afford not to do.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-03-28T04:48:02.286Z · LW(p) · GW(p)
Nice comment!
A couple minor expansions on this (you might know these already, but I want to make sure it's clear to everyone else):
- siRNAs and piRNAs don't quite make babies have fewer transposons than their parents. The babies have the same number of transposons as the parents' egg/sperm. The piRNA/siRNA activity in the egg/sperm is just higher than in other (somatic) cells to make extra sure that the transposons don't copy before the genome is passed on.
- There is a little more to it than just injecting RNAs. The RNAs would have to get into at least the cells and possibly the nucleus somehow, and also RNAs turn over quickly so the effect would not last very long. Conceptually, though, the idea is basically viable, modulo some technical hurdles.
- piRNAs/siRNAs repress transposon activity, but they don't remove existing transposons outright. So this would effectively put aging on pause, and clear up symptoms of aging, but not reverse aging. Once the administration stopped, things would bounce right back to normal.
There are some similar approaches. For instance, we could try to upregulate expression of the repression mechanisms, rather than add more RNA directly. Another approach is to directly interfere with the reverse transcription via antiretroviral drugs, e.g. lamivudine. (Retroviruses are viruses which reverse-transcribe themselves into the genome - HIV is the most notable example). This paper tested lamivudine in aged mice, and indeed found that it improved a bunch of age-related problems. (Though note that we would not expect this to remove existing transposons or even prevent damage from the endonuclease snipping the DNA if transposon count is already high; it just interferes with the reverse transcription step.)
Replies from: awenonian, dkirmani↑ comment by awenonian · 2021-03-31T20:23:09.797Z · LW(p) · GW(p)
I'm still confused. My biology knowledge is probably lacking, so maybe that's why, but I had a similar thought to dkirmani after reading this: "Why are children born young?" Given that sperm cells are active cells (which should give transposons opportunity to divide), why do they not produce children with larger transposon counts? I would expect whatever sperm divide from to have the same accumulation of transposons that causes problems in the divisions off stem cells.
Unless piRNA and siRNA are 100% at their jobs, and nothing is explicitly removing transposons in sperm/eggs better than in the rest of the body, then surely there should be at least a small amount of accumulation of transposons across generations. Is this something we see?
I vaguely remember that women are born with all the egg cells they'll have, so, if that's true, then maybe that offers a partial explanation (only half the child genome should be as infected with transposons?). I'm not sure it holds water, because since egg cells are still alive, even if they aren't dividing more, they should present opportunities for transposons to multiply.
Another possible explanation I thought of was that, in order to be as close to 100% as possible, piRNA and siRNA work more than normal in the gonads, which does hurt the efficacy of sperm, but because you only need 1 to work, that's ok. Still, unless it is actually 100%, there should be that generational accumulation.
This isn't even just about transposons. It feels like any theory of aging would have to contend with why sperm and eggs aren't old when they make a child, so I'm not sure what I'm missing.
Replies from: johnswentworth, ChristianKl↑ comment by johnswentworth · 2021-03-31T20:49:25.356Z · LW(p) · GW(p)
My understanding is that transposon repression mechanisms (like piRNAs) are dramatically upregulated in the germ line. They are already very close to 100% effective in most cells under normal conditions, and even more so in the germ line, so that most children do not have any more transposons than their parents.
(More generally, my understanding is that germ line cells have special stuff going to make sure that the genome is passed on with minimal errors. Non-germ cells are less "paranoid" about mutations.)
Once the rate is low enough, it's handled by natural selection, same as any other mutations.
↑ comment by ChristianKl · 2021-06-05T12:15:33.098Z · LW(p) · GW(p)
Unless piRNA and siRNA are 100% at their jobs, and nothing is explicitly removing transposons in sperm/eggs better than in the rest of the body, then surely there should be at least a small amount of accumulation of transposons across generations. Is this something we see?
Increase of transposons is evolutionary disadvantageous so there's selection pressure against increased active transposon count and for reduced active transposon count.
Replies from: faul_sname↑ comment by faul_sname · 2021-06-07T18:25:50.691Z · LW(p) · GW(p)
My impression is that DNA repair mechanisms get dramatically less effective with age, and that piRNA and siRNA (and other such transposon repression mechanisms) are effective but not 100% effective even in germ cells. Since germ cells in males continue to divide through the entire lifespan, my naive expectation would be that the children of very old men to age faster than the children of younger men (not just "have worse health outcomes in general" but specifically "express the specific marks of senescence earlier").
Is that a valid prediction of the "transposons make more transposons and eventually the exponential increase in the number of transposons kills the cell" hypothesis?
Replies from: ChristianKl↑ comment by ChristianKl · 2021-06-07T19:14:26.638Z · LW(p) · GW(p)
Since germ cells in males continue to divide through the entire lifespan, my naive expectation would be that the children of very old men to age faster than the children of younger men (not just "have worse health outcomes in general" but specifically "express the specific marks of senescence earlier").
Yes, but likely a few days or months and not years.
Let's think through a scenario.
Imagine that each human has 100 active transposons. Then imagine each additional transposon reduces the amount of raised children by 0.01. If left alone this process would reduce the active transposon count to zero. If we assume the amount of transposons that exists is in equilibirum, the amount of new transposons produced in the germline because the transposon suppression systems aren't perfect, is exactly the amount that's needed to keep the active transposon count on average at 100 active transposons.
Given that most of the effect of aging happen a lot later then when humans get children, it would be surprising to me when a single additional transposon would reduce the amount of raised children by 0.01. I haven't run the numbers myself but I wouldn't be surprised if on average there's only one or less additional transposon per generation (at normal childbearing age).
If transposons don't produce aging you also need to present a different mechanism of how increased transposon count produces a problem that's big enough for evolution to keep the amount of transposons at their current level. I can't think of a different mechanism of how transposons create the evolutionary pressure to keep their numbers in check in a organism like humans where there seems to be more transposon activity in non-germline cells.
↑ comment by dkirmani · 2021-03-28T13:42:04.605Z · LW(p) · GW(p)
Thanks! I changed "transposons" to "active transposons" to be more accurate. Much of my knowledge in this domain comes from a genetics course I took in the 10th grade, so it's not super comprehensive.
piRNAs/siRNAs repress transposon activity, but they don't remove existing transposons outright. So this would effectively put aging on pause, and clear up symptoms of aging, but not reverse aging. Once the administration stopped, things would bounce right back to normal.
My understanding was that methylated DNA stayed methylated (silenced), and methyltransferases made sure that copies of the methylated DNA sequences were also themselves methylated. If all transposons in a cell were methylated by piRNAs and siRNAs, wouldn't all descendants of the cell also have methylated transposons, making those transposons effectively removed? (Of course, that assumes that methyltransferases and transposon-suppressing RNAs have 100% success rates, which I'm sure they don't. This would explain why babies have a few active transposons, but not nearly as many as their parents.)
This paper asserts that piRNAs both methylate transposons, and also cleave the RNA transcripts of transposons in a cell's cytoplasm, and that doing so guards the germline against transposons. Cleaving the transcripts of transposons would repress transposon replication in the short term, but, as I understand it, methylation of transposons would silence them in the long term, including in daughter cells. Therefore, even if there's a one-time transposon-methylating event (as opposed to a permanent epigenetic upregulation in transposon-suppression mechanisms, which seems to be a promising idea as well), the number of active transposons in the genome should still be reduced, pushing the growth trajectory of transposons backward.
Replies from: johnswentworth, alex-k-chen↑ comment by johnswentworth · 2021-03-28T16:13:32.452Z · LW(p) · GW(p)
So, DNA methylation. This is another area where the things-people-typically-say seem to be completely wrong. I had also heard that methylation was long-lived (making it a natural candidate for a root cause of aging), but at one point I looked for experimental evidence on the turnover time of epigenetic methyl groups. And it turns out that most methyl groups turn over on a timescale of ~weeks. The mechanism is enzymatic - i.e. there are enzymes constantly removing and replacing epigenetic methyl groups, so they're in equilibrium.
I'm glad this came up, in hindsight I probably should have mentioned it in the post.
Replies from: dkirmani↑ comment by dkirmani · 2021-03-28T16:56:19.741Z · LW(p) · GW(p)
Wow, I had no idea that methylation was that impermanent, thank you for the belief update. I guess that leaves upregulation (via acetylation?) of transposon-suppressing RNA, extending lifespan by varying expression of other genes that alter chromatin structure to be more transposon-hostile, or as this comment [LW(p) · GW(p)] says, using Crispr/CAS9 to incapacitate transposons. I wonder if anyone has done/will soon do an experiment like this in mammals.
Replies from: dkirmani↑ comment by dkirmani · 2021-03-28T18:52:41.057Z · LW(p) · GW(p)
The first steps are (probably) to come up with an estimate of both material and labor costs for all 3 of the above options. The labor costs might be mostly nullified if you can find altruistic biologists, or biologists that are status-seeking and have sufficient confidence that the transposon hypothesis is true. Or if a motivated person who isn't a biologist takes a crack at it.
UMichigan offers a transgenic mouse service for $5,800. From the item description:
The Transgenic Core guarantees that at least 300 fertilized mouse eggs will be microinjected with CRISPR/Cas9 reagents. Microinjected eggs will be transferred to pseudoopregnant female mice. Tail tip biopsies will be provided to the Investigator's laboratory for genotyping. Mouse pups will be transferred to the investigator at weaning.
This is the service for C57BL/6 (C57 black 6) mice, the mice most commonly used as disease models, and the best-selling mice from mouse-breeding laboratories. For another $1,100, UMich will also "build CRISPR/Cas9 reagents to target a specific location in the mouse or rat genome". So, for $7,000, one can get a founder population of transgenic mice, targeting any genome location the customer desires. Another transgenic mouse service from UMich, also for $5,800, guarantees at least 3 transgenic founder mice will be produced. 'Founder' implies that the actual experimental subjects will be the children of the transgenic mice you get, so you'd need to head down to PetStop and buy a few dozen hamster cages, some rodent chow, and a mouse-breeding manual.
Jackson Labs, the primary provider of experimental mice, sells C57BL/6 mice for $90 per mouse at 25 weeks old, and at $430 per mouse at 90 weeks old, with cost per mouse growing roughly linearly in between. At 25 weeks old, that's $2,700 for 30 mice (enough for a pilot study's control group).
There's also the cost of shipping and handling live mice, which will vary depending on where the experiment is conducted. There are probably a bunch of auxiliary costs I haven't considered yet as well. My main point is, as far as the Crispr route goes at least, I don't anticipate material costs over $50,000, meaning an unofficial pilot study is probably quite doable by a small group of motivated individuals / one crazy person in a shed / crowdfunding.
Replies from: johnswentworth, alex-k-chen↑ comment by johnswentworth · 2021-03-28T20:27:27.671Z · LW(p) · GW(p)
In terms of experimental endpoints, would this mainly just be an experiment to see how long the mice live? If so, that does seem like a high-upside experiment which even someone with relatively little domain knowledge could just go do. The main investment would be time - it would take at least a couple years of mouse-care, and hopefully longer.
If the project were undertaken by someone with more domain expertise, the main value-add (relative to the bare-minimum version of the experiment) would probably be in checking more endpoints, especially as a debugging tool. For instance, since the CRISPR/CAS targets would presumably have very high copy number, it might be hard to get it to actually remove all the live transposons and not be saturated by dead copies which share a lot of the sequence. Checking that it actually worked would require sequencing, and special tools are needed to get accurate transposon counts from sequencing data. Also, it might require some nontrivial design to find CRISPR/CAS targets which actually work. Then there's the possibility that CRISPR/CAS9 themselves trigger transposon derepression (they involve snipping then repairing DNA, after all), which probably wouldn't be a game-breaker but could throw some general weirdness into things. There's also the question of which transposons to target, since there's a few major families and presumably a long tail of minor families...
Anyway, point is, there's a lot of potential failure points which could be addressed with some effort and expertise. The bare-minimum version of the experiment would be huge if it worked, but if it failed, it would be hard to tell whether the theory was wrong or the experiment was flawed in some way. That said, the chance of success and the potential upside are high enough that it seems worthwhile even for the bare-minimum version.
I could imagine Constantin [LW · GW] being interested in this - it's not exactly the thing she set up LRI [LW · GW] for, but it's not a huge number of steps removed, and she'd probably at least have useful advice on how to make it happen and what to watch out for in terms of execution.
I'm also curious if anyone knows of existing groups already running this kind of experiment; I would not be surprised if it were already underway and we saw results published in another year or two (since the mice take a while to age). (More generally, do people have advice on searching for projects which have started but not published yet? I frequently stumble on them on the "projects" pages of the websites for particular labs, but I don't know a good way to search for them.)
Replies from: AllAmericanBreakfast↑ comment by DirectedEvolution (AllAmericanBreakfast) · 2021-03-29T19:11:18.582Z · LW(p) · GW(p)
It does sound like this research is already planned or underway.
But new experiments are planned. For example, the team will purposely encourage expression of transposable elements to see if that undermines health and lifespan. Another approach could be to use the powerful CRISPR gene editing technique to specifically disable the ability of transposable elements to mobilize within the genome. If that intervention affected lifespan, it would be telling as well, Helfand said.
The wording is a little ambiguous as to whether the CRISPR approach is merely being contemplated, or whether they're just floating the idea. Working with flies first makes sense, since it gives you a faster feedback loop on whether transposon elimination affects lifespan.
Stephen Helfand, the researcher quoted in the article, seems not to have published a new article since 2016, when the report I linked was published appears not to have updated his publication page since 2016, but you can find his later works on Google Scholar by searching his name (SL Helfand).
I've emailed him to ask whether this idea has been acted upon. I'll post back here if I hear from him. In the meantime, I'm going to investigate the work of the followup project and the leaders associated with it.
Replies from: AllAmericanBreakfast, johnswentworth↑ comment by DirectedEvolution (AllAmericanBreakfast) · 2021-03-29T20:32:48.168Z · LW(p) · GW(p)
It does look like this cluster of researchers is making progress.
Treatment of aged mice with the nucleoside reverse transcriptase inhibitor lamivudine downregulated IFN-I activation and age-associated inflammation (inflammaging) in several tissues.
Lamivudine is also called 3TC, and it's already approved for use against HIV. A clinical trial on its efficacy against Alzheimer's is underway and scheduled to be complete in June 2022.
↑ comment by johnswentworth · 2021-03-29T20:30:47.116Z · LW(p) · GW(p)
Bingo, thanks.
↑ comment by Alex K. Chen (parrot) (alex-k-chen) · 2021-03-31T09:05:40.371Z · LW(p) · GW(p)
Have you thought of https://www.vium.com/ to reduce labor costs?
↑ comment by Alex K. Chen (parrot) (alex-k-chen) · 2021-03-31T09:06:46.181Z · LW(p) · GW(p)
comment by p.b. · 2021-03-28T14:26:00.629Z · LW(p) · GW(p)
Wouldn't the role of transposons be easy enough to investigate by incapacitating functional transposons with Crispr/CAS9? Has something like that been done in mice?
Replies from: Daniel_Eth, johnswentworth, Aiyen↑ comment by Daniel_Eth · 2021-12-29T00:14:57.243Z · LW(p) · GW(p)
A perhaps even easier (though somewhat less informative) experiment would be to Crispr/CAS9 a bunch of extra transposons into an organism and see if that leads to accelerated aging.
↑ comment by johnswentworth · 2021-03-28T16:46:51.989Z · LW(p) · GW(p)
I would love to see a study like that.
↑ comment by Aiyen · 2021-04-04T21:08:52.819Z · LW(p) · GW(p)
Minimal cell experiments (making cells with as small a genome as possible) have already been done successfully. This presumably removes transposons, and I have not heard that such cells had abnormally long lifespans.
One possibility is that there are at least two aging pathways-the effect of transposons, which evolution wasn’t able to eliminate, and an evolved aging pathway intended to eliminate older organisms so they don’t compete with their progeny (doing so while suffering ill health from transposon build-up would be less fit than dying and delegating reproduction to one’s less transposon-heavy offspring).
There is significant evidence that most organisms have evolved to eventually deliberately die, independent of problems like transposons that aren’t intentional on the level of the organism. Yamanaka factors can reverse some symptoms of aging, and appear to do so by activating a rejuvenation pathway. This makes perfect sense if the body deliberately ordinarily reserves that pathway for gamete production, while letting itself deteriorate. It is extremely confusing if aging is purely damage, however. Yamanaka factors don’t provide new information (other than the order to rejuvenate) or resources; a body that is doing its best to avoid aging wouldn’t seem to benefit from them, and could presumably evolve to produce them if evolution found this desirable. Other examples include the beneficial effects of removing old blood plasma (this appears to trick the body into thinking it is younger, which should work on a deliberately aging organism but not one that aged purely through damage), the fact that rat brain cells deteriorate as the perceive the brain to gradually stiffen with age, but rejuvenate if their ability to detect stiffness is removed, and the fact that some species of octopuses commit suicide after reproducing, and refrain from doing so if a particular gland is removed.
If both transposons and a deliberate aging pathway contribute to aging, it would be very interesting to see what happens in an organism with both transposon inactivation and Yamanaka factor treatment. Neither appears to create massive life extension on its own, but together they might do so, or at least point out worthwhile directions for further inquiry.
Replies from: alex-k-chen, johnswentworth↑ comment by Alex K. Chen (parrot) (alex-k-chen) · 2022-04-11T20:14:44.568Z · LW(p) · GW(p)
https://www.brown.edu/news/2019-02-06/aging
I have a HIV-positive friend whose epigenetic age is 6 years younger than his real age of ~32. I wonder if his antivirals helped... (they reduce genomic instability from transposons, though I expect this effect to be stronger in older)
Replies from: Aiyen, dkirmani↑ comment by johnswentworth · 2021-04-07T16:25:08.104Z · LW(p) · GW(p)
Minimal cell experiments (making cells with as small a genome as possible) have already been done successfully. This presumably removes transposons, and I have not heard that such cells had abnormally long lifespans.
The minimal cell experiments were done with mycoplasma, which (as far as I know) does not age. More generally, as I understand it, most bacteria don't age, at least not in any sense similar to animals.
Also, I expect wild-type mycoplasma already had no transposons in its genome, since the organism evolved under very heavy evolutionary pressure for a small genome. (That's why it was chosen for the minimal cell experiments.)
Replies from: Aiyen↑ comment by Aiyen · 2021-04-08T20:39:39.902Z · LW(p) · GW(p)
An initial search doesn’t confirm whether or not mycoplasma age. Bacteria do age though; even seemingly-symmetrical divisions yield one “parent” bacterium that ages and dies.
If mycoplasma genuinely don’t, that would be fascinating and potentially yield valuable clues on the aging mechanism.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-04-08T20:49:40.259Z · LW(p) · GW(p)
Bacteria do age though; even seemingly-symmetrical divisions yield one “parent” bacterium that ages and dies.
Do you have a reference on that? I'm familiar with how it works with budding yeast, but I've never heard of anything like that in a prokaryote.
Replies from: Aiyen↑ comment by Aiyen · 2021-04-10T20:21:53.165Z · LW(p) · GW(p)
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.0030058
This is the source I found. It’s fairly old, so if you’ve found something that supersedes it I’d be interested.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-04-10T20:29:45.779Z · LW(p) · GW(p)
Oh wow, that's really neat. I doubt that it has any relevance to the aging mechanisms of multicellular organisms, but very cool in its own right. And definitely not transposon-mediated.
comment by johnswentworth · 2021-03-30T23:34:55.656Z · LW(p) · GW(p)
A private message (from someone who may name themselves if they wish) asked about the claim that "the effects of senolytics rapidly wear off once the drug stops being administered".
This is a lower-confidence claim than most in this piece; I do not have a study on hand directly proving it. The vast majority of papers on senolytics either use regular administration (frequency ~1 per 2 weeks or faster) or do a short regimen and then measure results within ~2 weeks; the ubiquity of those practices is itself a significant piece of evidence here. If a single dose does nothing long-term, then I mostly expect to see very few papers published using a single dose on long-term outcomes (because people don't publish negative results), and that is indeed what I see.
Of course, lots of people still claim that long-lived senescent cells are a thing, but it's always either uncited or cites someone else who also has no actual data directly supporting the claim. I have yet to see any compelling data backing it up, and this is a case where I expect absence of evidence to be evidence of absence. It feels very similar to the claims about amyloid beta as a cause of Alzheimers, or collagen:elastin ratio as a cause of vascular stiffening: lots of people claim it, but following the citation chains shows no compelling evidence.
What I'd really like to see is an experiment which gives one (or a few) doses of a senolytic to reasonably-old mice (maybe ~20 mo), measures outcomes ~ 1 week later, then waits at least a couple months before evaluating outcomes again. If persistent senescent cells are both real and relevant, then we'd expect to see relatively little regression in outcomes over time. If persistent senescent cells are not real or not relevant, then we'd expect to see the mice mostly regress to the pre-treatment state after a couple months. (Though they would probably be slightly better off than control mice, since they'd have effectively taken a couple weeks with the core aging feedback loop on pause.)
comment by DirectedEvolution (AllAmericanBreakfast) · 2022-12-01T23:28:21.055Z · LW(p) · GW(p)
Both this document and John himself have been useful resources to me as I launch into my own career studying aging in graduate school. One thing I think would have been really helpful here are more thorough citations and sourcing. It's hard to follow John's points ("In sarcopenia, one cross-section of the long muscle cell will fail first - a “ragged red” section - and then failure gradually spreads along the length.") and trace them back to any specific source, and it's also hard to know which of the synthetic insights are original to John and which are insights from the wider literature that John is echoing here.
While eschewing citations makes the post a little easier to scan, and probably made it a lot easier to write, I think that it runs the risk of divorcing the post from the wider literature and making it harder for the reader to relate this blog post to the academic publications it is clearly drawing upon. It would have also been helpful if John had more often referenced specific terms - when he says "Modern DNA sequencing involves breaking the DNA into little pieces, sequencing those, then computationally reconstructing which pieces overlap with each other," it's true, but also, DNA sequencing methods are diverse and continue to evolve on a technological level at a rapid pace. It's hard to know exactly which set of sequencing techniques he had in mind, or how much care he took in making sure that there's no tractable way to go about this.
Overall, I'm just not sure to what extent I ought to let this post inform my understanding of aging, as opposed to inspiring and motivating my research elsewhere. But I still appreciate John for writing it - it has been a great launch point.
comment by DirectedEvolution (AllAmericanBreakfast) · 2022-02-09T05:31:41.036Z · LW(p) · GW(p)
I found a nice table of theories of aging from this paper.
comment by Donald Hobson (donald-hobson) · 2021-03-28T11:34:59.647Z · LW(p) · GW(p)
Naked mole rats don't age. Other mammals do. Therefore, whatever causes ageing must be hard but not impossible for evolution to stop. Here is one plausible hypothesis.
The environment of naked mole rats provides unusually strong evolutionary pressure against ageing. So transposon-killing RNAs are unusually prevalent. Every time a mutation breaks a transposon, that provides an advantage, the fewer transposons you start with, the slower you age. This selection is balanced by the fact that transposons occasionally manage to replicate, even in the gonads. In naked mole rats, that selection was unusually strong, and/or the transposons unusually unable to replicate. So evolution managed to drive the number of functioning transposons down to 0.
If naked mole rats have no functioning transposons, and animals that age do contain transposons, that would be strong evidence for transposon based ageing.
Of course, even if ageing is transposon based, evolution could have taken another route in mole rats. Maybe they have some really effective transposon suppressor of some kind.
I don't know how hard this would be to test. Can you just download the mole rat DNA and put it into a pre-made transposon finder?
Replies from: yair-halberstadt, johnswentworth, None↑ comment by Yair Halberstadt (yair-halberstadt) · 2021-05-31T05:39:27.237Z · LW(p) · GW(p)
This seems relevant: https://www.nature.com/articles/nature10533
approximately 25% of the NMR genome was represented by transposon-derived repeats, which is lower than in other mammals (40% in human, 37% in mouse, and 35% in rat genomes)
However it's just a 1/3 or so reduction compared to similar mammals, so on its own that doesn't explain much. But it suggests a possible lead.
Replies from: ChristianKl↑ comment by ChristianKl · 2021-06-06T23:13:53.150Z · LW(p) · GW(p)
Most of "transposon-derived repeats" are essentially corpses of transposons that have mutations that make them nonfunctional. The thing that matters isn't how much of the genome is due to transposon-derived repeats but how many active transposons there are.
Then for those transposons that are active it matters how easy they are to activate and whether there are mechanisms in somatic cells to silence them.
When it comes to the claim of immortal naked mole rats it's worth keeping in mind that the oldest naked mole rat we know is 39 which is an age where even most humans don't get cancer. It might be that naked mole rats do die at age 150 due to the few active transposons they have being able to cause problems by at age 150 we would still observe what we observe today about naked mole rats.
↑ comment by johnswentworth · 2021-03-28T16:23:46.231Z · LW(p) · GW(p)
My guess would be transposon suppression rather than evolving away all of the transposons - upregulating existing repression mechanisms would be easier than removing every single active transposon copy. Though I'd still be interested in the test - even if suppression is the main mechanism, I'd still be interested to see how the number of transposons in naked mole rats compare to other rodents. (It is a nontrivial test to run, though - DNA sequencing is particularly unreliable when it comes to transposons, because there are so many near-copies.)
Alternatively, it's also plausible that the naked mole rat's defenses are elsewhere in the chain. In particular, they live in a low-oxygen environment, so it's often speculated that they have very low ROS levels. If that's the case, we'd still expect transposons to copy occasionally, but cellular-stress-events in which DNA is damaged by ROS, and transposons are temporarily less-repressed while the damage is repaired, would be much more rare.
↑ comment by [deleted] · 2021-03-28T15:22:55.535Z · LW(p) · GW(p)
I've seen this claim about naked mole rats thrown around a bunch but it's left me with the question of what naked mole rats do die of? If their mortality likelihood truly doesn't increase, we'd expect there to be some very long-lived naked mole rats. Is the issue just we haven't held them in captivity for long enough to see them die of natural causes? I vaguely remember reading somewhere that eventually they stop eating or die in other ways but can't seem to find the reference now.
Replies from: Archimedes↑ comment by Archimedes · 2021-03-29T21:42:49.970Z · LW(p) · GW(p)
From https://www.livescience.com/61568-naked-mole-rats-no-aging.html:
In the lab, the cause of death is usually hard to find; the main issue that shows up in necropsies, Buffenstein said, are mouth sores, indicating the animals weren't eating, drinking or producing saliva well in their last few days and infection set in.
"We really don't know what's killing them at this point," Buffenstein said.
comment by DirectedEvolution (AllAmericanBreakfast) · 2021-11-16T01:55:18.259Z · LW(p) · GW(p)
If aminoguanidine temporarily reverses arterial stiffening, and if arterial stiffening reduces paravascular cerebral fluid flow, which in turn inhibits clearance of Alzheimer's-causing proteins, then aminoguanidine could potentially work as an Alzheimer's drug if it can be transported to the right area. The severity of Alzheimer's might even justify taking aminoguanidine despite the side-effects.
Indeed, there is some recent research into applying aminoguanidine to Alzheimer's. It appears that aminoguanidine does penetrate the blood-brain barrier via diffusion. And there are several studies, mainly from the last 5 years, exploring aminoguanidine as a neuroprotectant against dementia/Alzheimer's in murine models.
And encouragingly, moderate-dose aminoguanidine in conjunction with pyridoxine was found to maintain the neuroprotective effect while eliminating appreciable toxicity. There are several papers on pyridoxal-aminoguanidine adducts, and on pyrodoxal phosphate.
I've only read a few abstracts, so I can't vouch for the quality of the evidence so far, but it's nice to see that the gears-level reasoning in your model can successfully predict existing lines of research.
comment by [deleted] · 2021-03-28T15:48:42.731Z · LW(p) · GW(p)
As a thought experiment mostly for testing my own understanding, suppose we could do a bulk culling of transposons in all of an elderly human's stem cells (or all cells). If I understand correctly, this post's main hypothesis (DNA damage <-> ROS feedback loop) would imply the following should happen:
- Senescent cell fraction quickly (within days or months) starts reverting to its healthy level.
- Atherosclerosis heals on its own because ROS production reduces to its healthy level meaning the plaque equilibrium returns to the young level.
- Similarly, vascular stiffening reverses for the same reason AG works temporarily.
- Alzheimer's remains unclear without further understanding but we can guess this might help.
- Sarcopenia same story as atherosclerosis and stiffening.
- Lens and elastin fibers continue to build up, so we'll all be blind and wrinkly but otherwise healthy...
The one thing I'm less clear on is where immune system aging fits into this. I feel pretty confident that a treatment like this wouldn't cause the thymus to spontaneously grow for example but am more uncertain about some of the other aged immune system phenotypes. It seems plausible that reducing the load on the immune system would allow it to regain some of its ability to deal with infectious diseases for example.
Does this fit with your understanding?
Replies from: johnswentworth, None↑ comment by johnswentworth · 2021-03-28T16:29:54.414Z · LW(p) · GW(p)
Yup, exactly right. This would be the most direct possible test of the hypothesis.
Re:thymus, this study found that a mitochondrially-targetted antioxidant prevented thymic involution, so there is at least some evidence that thymic involution is caused by the same core pathways. Though the timing of thymic involution is pretty suspicious, when compared to the other core-pathway diseases.
↑ comment by [deleted] · 2021-03-28T15:50:38.797Z · LW(p) · GW(p)
As a funny aside, a few months ago, I had the thought "removing all transposons would be a nice somewhat pointless but impressive demonstration of a civilization's synthetic biology mastery." I guess the "pointless" part may have been very wrong!
Replies from: johnswentworth, jmh↑ comment by johnswentworth · 2021-03-28T16:39:42.890Z · LW(p) · GW(p)
This suggests an interesting way to test the theory. JCVI had their "minimal cell" a few years back: they took a bacteria with an already-pretty-small genome, stripped out everything they could while still maintaining viability, then synthesized a plasmid with all the genes and promoters but with the "junk" DNA between them either removed or randomized (to make sure there was no functionality hiding in there which they didn't know about), and grew the bacteria with the synthesized plasmid. More recently, they have a project to do something similar with yeast.
Once this sort of project scales up to mammals, I expect they'll try it with mice/rats, and removing transposons is an obvious step. One prediction from the transposon theory of aging is that, when they do so, they'll find that their mice are far longer-lived and have near-zero rates of cancer, heart disease, etc.
Replies from: ChristianKl, None↑ comment by ChristianKl · 2021-06-06T23:41:17.857Z · LW(p) · GW(p)
You don't need to go through that much work. When we want to study what happens when a certain protein isn't expressed we usually don't remove the relevant gene from the genome but do gene knockdown via siRNA.
If we know all the active transposons we can create a DNA string that codes for a lot of siRNA for all the transposons we are concerned about and only need to do one injection into the genome.
The technology is there. If nobody has done the experiment it's just the matter of talking anybody with a lab that cares about mice lifespan to run it (and maybe for a grant giver to spend a few hundred thousand).
Replies from: espoire↑ comment by espoire · 2024-08-09T16:12:33.452Z · LW(p) · GW(p)
If there's any reason to suspect grant-givers to be uninformed on the topic, or biased against it, crowd-sourcing a sum of that size sounds possible.
Replies from: ChristianKl↑ comment by ChristianKl · 2024-08-10T08:45:48.811Z · LW(p) · GW(p)
If it's true that transposons are more central to aging than a lot of the people in the field think, this would likely mean that it's harder to fix aging invivo than many people in the anti-aging field want to think. There are also no clear medical interventions you can do with the knowledge.
As far as the size of the actual sum for the experiment goes, I don't have the expertise to reliably estimate the cost and you would need to ask someone with more knowledge on how to do genetic engineering for that.
↑ comment by [deleted] · 2021-03-28T18:57:27.833Z · LW(p) · GW(p)
Good point, this also suggests that Genome Project-Write is an important project.
↑ comment by jmh · 2021-03-30T03:29:29.982Z · LW(p) · GW(p)
One thing I wonder about here is whether or not having a certain amount of "garbage" in the DNA is not actually a good thing. My understanding is that material transfers due to chromosomal overlaps as well. As that would be a purely random process there's no guarantees that transfers occur at the beginning and end of the used/functional gene segment. Having some amount of meaningless sections seems like it would reduce the probability of the legs of the chromosomes overlapping at dangerous locations.
comment by DirectedEvolution (AllAmericanBreakfast) · 2021-03-29T17:15:14.297Z · LW(p) · GW(p)
This is interesting work, and I like seeing how your other writing (on gears-level models, constraints, etc) seems to lie behind your approach to this research.
That said, there’s a fair bit of evidence that most symptoms of aging - including the major age-related diseases - share a common root cause, or at least a common core pathway. Some kinds of evidence of this:
- Most symptoms/diseases of aging are correlated - someone who has one early is likely to have others. Conceptually, if you do a factor analysis on aging symptoms, there’s one big factor for a bunch of diseases, even after controlling for the number of years one has lived. (“Aging clock” is a relevant piece of jargon here.)
- At the cellular level, a lot of diseases of aging “look similar”, and involve similar pieces. There’s a decrease in cell count, increase in damaged proteins/DNA/fats, and inflammation. We see roughly this pattern in Alzheimers, atherosclerosis, muscle loss, and many others.
- Certain simple interventions reliably produce many diseases of aging - for instance, progerias are single mutations which produce a whole “early aging” phenotype
- Conversely, certain simple interventions reliably delay many diseases of aging - e.g. calorie restricted diets.
One interpretation of the idea of a "common core pathway" is an argument that there's some single aging factor (SAF), which triggers various forms of damage, which in turn cause the major diseases of aging. Hence, fighting those intermediate forms of damage would be ultimately futile, while fixing the SAF would be a panacea, at least if followed by other treatments that fix lingering damage.
An alternative idea is that there are multiple aging factors (MAFs), each of which triggers a particular form of damage. The damage it triggers goes on to cause a range of other forms of damage, which cause still others, resulting in a damage chain reaction that causes the major diseases of aging. Under this model, there are many MAFs that can trigger this chain reaction, and it's just the first one that's responsible for kicking off the aging process.
The difference is that preventing or curing one MAF wouldn't halt or prevent aging. Preventing one MAF still leaves you open to others. And since it's not the MAF, but a self-reinforcing chain reaction of damage, that drives aging, curing the MAF wouldn't reverse or halt the damage.
As an analogy, in the SAF model, aging is like a flood. It causes a range of problems: washing away buildings and roads, drowning deaths, erosion. Try to repair the buildings while the flood's going on, and you'll make little progress. But if you can stop the flooding, then you can repair all the damage it caused and be "good as new."
By contrast, in the MAFs model, aging is like a collapsing building. It could be caused by many underlying problems: termites, an earthquake, a bomb, demolition, fire, rot, a flood. But once the process is underway, the building enters a feedback loop. The flood introduces mold, which leads to rot, which opens holes in the house to allow the entry of vermin, which cause support beams to sag, and increases the risk of a short-circuit that could cause a fire. At a certain point, the original cause (the flood) can vanish entirely, but the accumulated damage is just perpetuating itself, and you can only save the house by eliminating all the damage sources.
The MAFs model can also explain many forms of evidence you cite. Since any given MAF can kick off the damage chain reaction, you'd expect the diseases caused by that damage to be correlated, though perhaps with some "leading" and the others "following" in any given case. The types of damage would be common, so you'd see common damage symptoms. You'd expect to see that certain interventions would cause the whole phenotype (an early MAF causes an early damage chain reaction).
The harder one to explain is the interventions that delay diseases of aging. Why should one intervention avoid many MAFs, unless all those MAFs had an underlying SAF that caused them all? So the crux of the MAF vs. SAF models seems to be whether calorie restricted diets (or other similar interventions) really work.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-03-29T20:02:31.172Z · LW(p) · GW(p)
Great comments!
In dynamical system terms, I'd call the MAF scenario a single bistable feedback loop with many redundant components. ("Redundant" in the sense that many component subsets are sufficient to support the bistable feedback loop.) The senescence feedback loop is an example of this: there's multiple components, and only a subset are needed to support the state change. For instance, either mitochondrial dysfunction or transposon activation would be sufficient to trigger the state change, and either one will cause the other once the state change is triggered.
So just because there's one core feedback loop underlying all these core diseases, does not mean that there's one root cause which activates that feedback loop.
There are reasons to believe there's one root cause (or at least very few), but as you point out, these do not fully overlap with the reasons to believe there's one core feedback loop. The main reason I expect one/few root cause(s) is that things which are out-of-equilibrium on the timescale of human aging are really rare in biological systems. The vast majority turn over much faster. So there just aren't that many things which could be root causes.
Calorie restriction and the like do provide additional evidence, though I actually don't think these provide particularly strong evidence for one/few root cause - not because it's unclear whether they actually work (CR is one of the best-replicated findings in the field), but because they might just slow down the core feedback loop without directly touching the root cause(s). It is very likely that the core feedback loop itself accelerates the root cause(s), based on the exponential-acceleration pattern of the major age-related diseases, so slowing down the core feedback loop should slow down the root cause(s) too (though not reverse them or slow them down below the rate at which they progress in youth).
I like seeing how your other writing (on gears-level models, constraints, etc) seems to lie behind your approach to this research.
It was actually the other way around - I studied aging (among many other things) first, and those systems were what I drew on to understand gears, abstraction, constraints, etc.
comment by Itsnotme · 2021-06-01T14:46:37.092Z · LW(p) · GW(p)
Can you give some broad explanation about what are plants doing differently? As I understand most plants (except annuals which have a specific live-fast-die-young strategy) are biologically immortal and hey tend to die from external stressors, like pathogens or getting struck by lightning. They do have a whole lot of transposons, and plastids in addition to mitochondria...
Replies from: johnswentworth↑ comment by johnswentworth · 2021-06-01T16:03:13.477Z · LW(p) · GW(p)
I don't know much about plants, other than that they're radically different, and do all sorts of crazy shit with their transposons.
comment by DirectedEvolution (AllAmericanBreakfast) · 2022-12-10T19:22:06.045Z · LW(p) · GW(p)
For a while, people hypothesized that senescent cells accumulate with age without turning over, acting as a root cause. As mentioned earlier, the actual evidence suggests that senescent cells turn over on a timescale of days to weeks, which would mean this theory is wrong - senescent cell accumulation is not a root cause.
However, there is a saving throw: maybe a small subset of senescent cells are longer-lived, and the experiments measuring senescent cell turnover time just weren’t capturing the long-lived subset in particular. Results from senolytics (drugs which kill senescent cells) suggest this is also wrong: the effects of senolytics rapidly wear off once the drug stops being administered, whereas reversing a root cause should set an organism back to a youthful state longer-term.
Edit: I'm not sure that the claim that senolytics rapidly wear off is accurate. [1]
Senolytics do not have to be continuously present to exert their effect. Brief disruption of pro-survival pathways is adequate to kill senescent cells. Thus, senolytics can be effective when administered intermittently.22 For example, dasatinib and quercetin have an elimination half-life of a few hours, yet a single short course alleviates effects of leg radiation for at least 7 months.
An alternative possibility is that senolytics kill senescent cells in a tissue-selective manner. We see this here.
Briefly, the team uses a mouse breed in which senescent cells can be killed with a drug called AP. In the skeletal muscle, eye, kidney, lung, heart, and spleen, AP works better in some tissues, worse in others. AP doesn't work at all in the colon or liver.
Decreasing the overall senescent cell burden seems to increase lifespan. But if the colon and liver are reservoires for senescent cells, allowing the cells to rapidly take over once AP administration stops, that would explain why senescent cells bounce back rapidly. Take Afghanistan as an analogy: America was able to suppress the Taliban for decades, as long as it maintained a constant military presence. But there were regions they couldn't touch, which became safe harbor for the Taliban. As soon as America withdrew its military, the Taliban were able to take over the country immediately.
If senescent cells stimulate their own production and dampen their own removal in a way that's concentration dependent, and if most senolytics are tissue-specific and therefore leave highly concentrated reservoires of senescent cells behind, this leaves intact the possibility that stem cells are a root cause of aging.
Fortunately, combination senolytics that cover the full range of tissues may be more tractable than chemotherapy for cancer. With cancer, we primarily target cells undergoing mitosis.[2] That impacts human cells as well, just somewhat less. And cancer's constant growth means that it's got lots of opportunities to evolve evasion to chemotherapies. But with senolytics, we may be able to target biomarkers that don't especially impact healthy cells. And since senescent cells don't proliferate, they don't have the same opportunities to evolve mechanisms to evade senolytics (1).
Another advantage of senolytics is that cell division– dependent drug resistance is unlikely to occur, because senescent cells do not divide and therefore cannot acquire advantageous mutations, unlike the situation in treating cancers or infectious agents.
- ^
Kirkland, J. L., Tchkonia, T., Zhu, Y., Niedernhofer, L. J., & Robbins, P. D. (2017). The clinical potential of senolytic drugs. Journal of the American Geriatrics Society, 65(10), 2297-2301. Chicago
- ^
Although new strategies are emerging, such as pH-based drug delivery and immune modulation, since cancer creates an acidic and anti-inflammatory microenvironment.
↑ comment by johnswentworth · 2022-12-16T17:53:17.716Z · LW(p) · GW(p)
I'd be careful about taking the claims in these sorts of papers at face value.
One problem is just the usual statistical abuse. For instance, this:
Briefly, the team uses a mouse breed in which senescent cells can be killed with a drug called AP. In the skeletal muscle, eye, kidney, lung, heart, and spleen, AP works better in some tissues, worse in others. AP doesn't work at all in the colon or liver.
I haven't looked carefully at that paper, but on the face of it, it sounds like a "garden of forking paths" situation. I wouldn't be surprised if the colon/liver were just noise due to testing lots of different things.
Aside from that, the other problem which comes up all the time is:
- Team does some experiment
- Their abstract summarizes the result in a way which isn't really backed by the data
- Review articles or other future citers then repeat the claim from the abstract
This one happens a lot with cellular senescence, largely because people use the word "accumulate" to indicate that senescent cell counts are going up, and it's easy to misintepret that as a claim that the cells are sticking around. Or, sometimes people just don't have"senescent cell counts are going up without the individual cells sticking around" in their hypothesis space at all, so they do an experiment which finds that counts go up, and then interpret that as evidence that senescent cells stick around. Or, even worse:
- Somebody outright speculates
- Review articles and other future citers repeat the speculative claim, but fail to mention that it's pure speculation
- Later review articles cite the earlier review articles, and vaguely claim that there's some kind of empirical evidence
That's what happened in the case of the collagen:elastin ratio hypothesis for vascular stiffening (mentioned in the OP).
Point is, if you see a claim in a review article (like the one you cited), and it's not extremely obvious where that claim came from, you should be extremely skeptical. You do actually need to follow the citations, not only to the abstract but all the way to the methods and data.
Replies from: AllAmericanBreakfast↑ comment by DirectedEvolution (AllAmericanBreakfast) · 2022-12-16T19:28:52.220Z · LW(p) · GW(p)
OK, let's take a look. Note that the claim about senescent cells being protected from AP in the colon and liver is not from a review article - the citation is to an orginal research article on Nature. They don't talk about correcting for multiple comparisons, although it's possible that this was left unstated or is dealt with automatically via Prism, the software they used for analysis. I'll contact the authors and ask.
This is the relevant figure (extended data figure 3). Red bars are no AP treatment, pink bars are with AP treatment (which ought to kill senescent cells). Eyeballing it, we see fairly consistent equal or higher expression levels across the range of senescence markers in the no AP group, and then this pattern vanishes in the liver and colon with the exception of p21 in the liver, which seems like it's "trending toward significance" (my words, not theirs). Based on my visual spot-checking, I would have said that the liver and colon really do seem to respond differently to AP than other organs. And that's a perfectly normal, expected outcome for any drug.
Error bars indicate s.e.m. *P < 0.05; **P < 0.01; ***P < 0.001 (unpaired two-tailed t-tests). Asterisks above individual bars in a denote significant changes to 2-month-old mice; asterisks above brackets denote significant differences between 18-month-old vehicle and AP-treated mice.
In the statistical analysis section, we have:
Prism software was used for statistical analysis and generation of survival, cataract and tumour latency curves... Investigators were blinded to allocation during experiments and outcome assessment, except for rare instances where blinding was not possible.
![Extended Data Figure 3](https://media-springernature-com.proxy.lib.umich.edu/full/springer-static/image/art%3A10.1038%2Fnature16932/MediaObjects/41586_2016_Article_BFnature16932_Fig8_ESM.jpg)
↑ comment by johnswentworth · 2022-12-16T19:38:58.306Z · LW(p) · GW(p)
Cool, I buy the basic result.
Replies from: AllAmericanBreakfast↑ comment by DirectedEvolution (AllAmericanBreakfast) · 2022-12-16T19:52:35.275Z · LW(p) · GW(p)
I agree with you that we are probably seeing AP being selectively broken down by the liver and colon. It therefore fails to reach the normal senescent cells in these tissues, and does not trigger their destruction. This causes a higher level of senescent cells to remain in these tissues after AP administration stops. If those liver and colon senescent cells can go on to trigger senescence in neighboring cells, that may explain why a temporary administration of senolytics fails to provide lasting protection against aging, despite the accumulation of senescent cells being a root cause of aging.
Under this hypothesis, senescent cells are a root cause of aging, as they trigger conversion of other cells to senescence - as suggested in the ODE model paper you linked - but this root cause can only be controlled in a lasting way by ensuring that senolytics eliminates senescent cells in a non-tissue selective manner. We can't leave any pockets of them hanging out in the liver and colon, for example, or they'll start spreading senescence to other nearby organs again as soon as you stop senolytics. Or alternatively, they might simply leave the mouse with an aged liver and colon, which might be enough to kill the mouse consistently, so that there's no real lifespan benefit.
Edit: Sorry if I'm responding to a rebuttal you changed your mind about :)
Replies from: johnswentworth↑ comment by johnswentworth · 2022-12-16T21:20:54.964Z · LW(p) · GW(p)
Edit: Sorry if I'm responding to a rebuttal you changed your mind about :)
Yeah, sorry, I went back and looked at the context of the earlier comments and was like "oh, right, I see what the claim is" and then updated my comment.
comment by simple_name (ksv) · 2021-06-07T11:00:07.755Z · LW(p) · GW(p)
How does animal cloning fit in the picture? Transposon count should be preserved as part of the DNA in the cloned animal and that seems to imply that we'd see accelerated aging, especially if the source cell has been taken from an aged animal. That doesn't seem to happen, though, cloned animals and their offspring appear to have normal lives and lifespans as long as they get past the early development process (https://doi.org/10.1159/000452444).
Replies from: Daniel_Eth↑ comment by Daniel_Eth · 2021-12-29T00:36:17.108Z · LW(p) · GW(p)
How common is it for transposon count to increase in a cell? If it's a generally uncommon event for any one cell, then it could simply be that clones from a large portion of cells will only start off with marginally more (if any) extra transposons, while those that do start off with a fair bit more don't make it past the early development process.
comment by Thane Ruthenis · 2022-07-28T15:57:23.508Z · LW(p) · GW(p)
The first and most important thing to know about Alzheimer’s (aka dementia, aka old folks losing their memory) is that it is not caused by accumulation of amyloid beta.
Well geez, I guess you called it. Congratulations on earning all of these Bayes points.
comment by Natália (Natália Mendonça) · 2022-04-09T02:06:14.342Z · LW(p) · GW(p)
Here’s the core positive feedback loop again:
- A cell’s DNA is damaged, inducing a damage response.
- As part of this damage response, mitochondria are shifted into a lower-efficiency state, producing less energy and more ROS.
- The ROS then further damage DNA.
Since this is a positive feedback loop, it has two stable states: one state with low damage and ROS (the “normal” cell state), and one with high damage and ROS (the “senescent” cell state).
So here's something I find confusing: apparently, nuclear bomb survivors (who almost certainly have incurred more DNA damage than average) do not seem to have an increased risk of dementia or worse cognition compared to controls (in fact, in the study I linked, the risk of dementia was non-significantly lower for those with .005-1Gy of radiation exposure compared to those with <0.005, even though the average age in each group was almost identical).
There's also the finding that only 30% of the excess mortality in nuclear bomb survivors is not from cancer. This is almost certainly confounded by the fact that cancer usually kills people earlier than other old-age diseases, but perhaps not much, since the decrease in lifespan among survivors seems to be only a few months (2 months on average for those exposed to <1 Gy, which IIRC was probably around 80% or so of them). So it tentatively seems that (as one would perhaps expect) DNA damage from ionizing radiation disproportionately increases cancer risk, rather than uniformly increasing the risk of every age-related disease.
(On the other hand, this study of nuclear weapons workers does find a pretty large increase in dementia risk, even though those workers seemed to have gotten a similar-ish average dose of ionizing radiation as the nuclear bomb survivors did (although we don’t have data for all of them). So I don't know what is going on here, but I thought this was perhaps interesting enough to share.)
Replies from: alex-k-chen, johnswentworth, dkirmani↑ comment by Alex K. Chen (parrot) (alex-k-chen) · 2022-04-11T22:02:14.944Z · LW(p) · GW(p)
who almost certainly have incurred more DNA damage than average
This is unclear - one-shot DNA damage can upregulate Nrf2/genetic repair, and does not recursively damage DNA the way transposons recursively damage them.
Replies from: Natália Mendonça↑ comment by Natália (Natália Mendonça) · 2022-04-11T23:09:07.638Z · LW(p) · GW(p)
That’s interesting! Thanks for pointing that out. OTOH, they do get cancer at higher rates than the general population, which is suggestive of more DNA damage and/or worse DNA repair.
↑ comment by johnswentworth · 2022-04-09T17:24:58.088Z · LW(p) · GW(p)
What's confusing?
↑ comment by dkirmani · 2022-04-10T00:54:58.449Z · LW(p) · GW(p)
Maybe you're conflating an increase in DNA damage with an increase in the rate of DNA damage. The data is consistent with:
- One-time exposure to lots of DNA damage (nuclear bomb) -> Increased cancer risk
- Increase in background rate of DNA damage (aging, working near ionizing radiation) -> Increased dementia risk
comment by tailcalled · 2022-01-24T08:35:22.589Z · LW(p) · GW(p)
Could another root cause of aging be buildup of autoimmune problems? It seems like that would be a form of irreversible damage, though admittedly I know of no way for it to connect to ROS. (Maybe it would become Aging 2.0, a relevant constraint for health and longevity once aging is solved?)
Replies from: johnswentworth, dkirmani↑ comment by johnswentworth · 2022-01-24T15:42:39.348Z · LW(p) · GW(p)
That is one of the more interesting hypotheses I've heard! Thankyou for promoting it to my attention.
↑ comment by dkirmani · 2022-01-24T11:00:34.070Z · LW(p) · GW(p)
That hypothesis predicts that immunosuppressed patients (that don't die from infection) live longer. It looks like that isn't the case. It is a plausible idea though, and I'm glad that people are still thinking about this post.
Replies from: tailcalled↑ comment by tailcalled · 2022-01-24T11:11:47.339Z · LW(p) · GW(p)
That hypothesis predicts that immunosuppressed patients (that don't die from infection) live longer.
I wouldn't predict that particularly confidently. The prediction requires multiple unlikely-seeming assumptions:
- Immunosuppression is not caused by something that is harmful in other ways
- The body does not assume the immune system is functioning for various routine tasks
- Infections cannot cause damage unless they observably kill you
Further, it should be noted that I said "another root cause" - as in, the immune effect wouldn't be the only one.
comment by Phil Scadden (phil-scadden) · 2021-05-30T20:59:06.409Z · LW(p) · GW(p)
This was a fascinating post, but I found a surprising statement in the introduction:
"who are shy about telling us when their peers’ work is completely wrong."
This runs deeply against my experience. I would say writing a paper gleefully proving your peers wrong is second only to writing a paper with an important new discovery in terms of academic satisfaction. In the middle of one controversy a colleague claimed (or maybe quoted) "Every paper published is a shot fired in a war".
This is obviously running counter to your experience and I wonder how you came to that conclusion? Are we talking about well-cited papers that are "completely wrong" - or just that newer papers have effectively replaced them in the corpus.
Replies from: johnswentworth, CuriousMeta↑ comment by johnswentworth · 2021-05-31T16:37:24.071Z · LW(p) · GW(p)
Good question. I'd say: writing a paper proving your peers wrong is great fun, but requires a paper. You are expected to make a strong, detailed case, even when the work is pretty obviously flawed. You can't just ignore a bad model in a background section or have a one-sentence "X found Y, but they're blatantly p-hacking" - those moves risk a reviewer complaining. And even after writing the prove-them-wrong paper, you still can't just ignore the bad work in background sections of future papers without risking reviewers' ire.
Does that fit your experience?
Replies from: phil-scadden↑ comment by Phil Scadden (phil-scadden) · 2021-06-01T02:08:12.522Z · LW(p) · GW(p)
Comment on "paper x" to my mind is the usual vehicle for complaining about faulty methods and poor statistical analysis. Since journals that accept comments tend to give a right of reply, review can be pretty light.
I would agree though that commenting on flaws like this is not as satisfying (mostly) as proper paper where an alternative hypothesis is promoted and opponents flaws lightly commented on. It is still a lot of work to comment and not a lot of point unless driving new science other than ego-tripping.
However, my original point remains - I don't think researchers are remotely shy about criticizing the work of their peers.
↑ comment by CuriousMeta · 2021-05-31T13:05:32.840Z · LW(p) · GW(p)
"Every paper published is a shot fired in a war"
Epistemic virtue isn't a good strategy in that war, I suspect. Voicing your true best guesses is disincentivized unless you can prove them.
comment by Joen Haahr Jensen (joen-haahr-jensen) · 2021-04-07T15:39:26.165Z · LW(p) · GW(p)
Very interesting post! you have radically changed my way of thinking about aging. Until now, I have always thought of aging as a very complex problem with most part of the body beginning to independently fail in different ways. The idea that all the symptoms of aging might ultimately be caused by a few 'root causes' is really very interesting.
comment by Benquo · 2023-02-10T02:01:29.008Z · LW(p) · GW(p)
Would a good experimental test of the transposon hypothesis be gene editing a simple model organism to remove transposons? Is CRISPR/Cas9 precise enough to do something like that?
Replies from: johnswentworth↑ comment by johnswentworth · 2023-02-10T02:24:58.348Z · LW(p) · GW(p)
That would be an excellent test. It would also probably be difficult, because most of the genome consists of chunks of dead transposon, so attempting to cut them out is liable to leave the genome looking like a slasher film.
Probably an easier approach would be to activate piRNA-based transposon silencing (which represses transposons in the germline IIRC) in non-germline cells.
Replies from: Rokocomment by DirectedEvolution (AllAmericanBreakfast) · 2022-12-09T21:02:38.153Z · LW(p) · GW(p)
DNA damage is typically repaired on a timescale of hours or faster, depending on the type. If DNA damage levels increase with age, that is due to an increase in rate of damage or decrease in rate of repair, not permanent accumulation.
Edit: I now see from your post on homeostasis that you're using "DNA damage" for forms of damage that do not cause a change of sequence, and "DNA mutations" for damage that does cause a permanent change of sequence. A lot of this is not really a critique then of your statement here - just a misreading of your specific terminology.
DNA damage repair mechanisms do not have a 100% chance of resolving the damage, and when this fails, permanent damage does accumulate in that cell and its lineage. A rare but highly cytotoxic example are double-strand breaks. While most DNA damage allows the cell to use information stored in the complementary nucleotide to repair the break accurately, double-strand breaks sever the chromosome and lose the ability to exploit the complementary nucleotide to guide repair. Normal processes of transcription and DNA replication during mitosis have been estimated to cause about 50 double-stranded breaks per cell per cell cycle (1).
It is true that mechanisms such as apoptosis and senescence can eliminate cells that have accumulated high levels of DNA damage. But setting those mechanisms aside, permanent accumulation of DNA damage does result from spontaneous double-strand breaks. And even taking those mechanisms into account, we will see selection for forms of DNA damage that evade the self-control mechanisms of apoptosis and senescence, and we may also see accumulated DNA damage leading to progressive degredation of the ability of immune cells to actively trigger apoptosis in damaged cells.
Edit: Note also that the proposed mechanism by which transposons cause aging is that they are a second form of accumulated, irreparable, and therefore permanent DNA damage within a particular cell lineage. While we can appeal to higher-order mechanisms to eliminate this accumulated damage, such as cell turnover, DNA damage most certainly does permanently accumulate within particular cell lineages.
I have not yet looked into the literature on senolytics, but if it typically wears off quickly, that may be because at a given age, all cells are likely to have accumulated DNA damage, among other dysregulations. Senolytics kills some of them, but other near-senescent cells on the verge of senescence that are not killed by senolytics quickly generate replacement senescent cells. If this were the case, it would be necessary to complement senolytics with transplant of young and healthy stem cells.
If this paper is right in positing that senescent cell accumulation is explained by saturation of the native senolytic capacity of the body and a linear increase of senescent cell production rate over time, then this tackles both aspects of the problem. If we only ablate senescent cells, we clear up the body's removal capacity, but do not deal with the linear increase in production rates. The latter may be dealt with by the addition of young cells, which would then be responsible for responding to growth signals and would lead to proliferation of a population of cells that does not become senescent. We might expect even a small number of these cells to do the trick, since they would be more proliferative as they are not rapidly becoming senescent and non-proliferative, while their nearly-senescent competitors are constantly blocked by growth arrest.
Overall, I see a guiding metaphore here as a game of telephone. The body does not have a mechanism for very long-term storage and refreshment of the fundamental message, which is probably due mainly to a lack of evolutionary pressure and antagonistic pleiotropy to emphasize reproductive success at the age of puberty. The age of puberty in turn was targeted in the ancestral environment to give a factor of safety of several decades before the average pubescent human would be killed by extrinsic factors. We have evolved a set of native repair mechanisms that equalize the risk of intrinsict causes of death with the risk of extrinsic causes of death, as there is no point in investing resources to prolong the lives of humans much beyond the age at which they'd typically be killed by factors in the environment.
However, we have many extrinsic biomedical mechanisms by which an individual's biological data can be stored, retrieved, amplified, and reorganized. Figuring out the minimal intervention that restores the original telephone message that cells are conveying to each other, that tells them what sort of cell to be, what sort of tissue architecture to form, and so on, could potentially prolong life indefinitely. This is probably more or less what "immortal" organisms are doing: they have found a set of mechanisms that preserves a particular biological telephone message for a very long period of time.
Edit 2: Senescent cells don't proliferate, but they do create an inflammatory environment that seems to trigger additional cellular senescence. And mitochondria can be transferred between cells. If mitochondria attain a proliferative advantage, this gives them an opportunity to be a fundamental driver of aging - a sort of "mitochondrial cancer."
(1) Mehta, A., & Haber, J. E. (2014). Sources of DNA double-strand breaks and models of recombinational DNA repair. Cold Spring Harbor perspectives in biology, 6(9), a016428.
(2) Torralba, D., Baixauli, F., & Sánchez-Madrid, F. (2016). Mitochondria know no boundaries: mechanisms and functions of intercellular mitochondrial transfer. Frontiers in cell and developmental biology, 4, 107.
comment by ChristianKl · 2021-06-05T12:08:44.782Z · LW(p) · GW(p)
The transposon thesis is really interesting. If the problem is about those transposons, then aging might be more tractible then we currently assume.
With siRNA there's an established way of silencing RNA that gets expressed in a cell. When it comes to retrotransposons you would create siRNA for every specific retrotransposon. For DNA transpopons you can create siRNA against Transposase.
From a research standpoint you would synthesie a chain of DNA that codes for siRNA for all the retrotransposons and transposase and CISPER it into mice. Then you wait and see whether the mice have extended lifespan. That's relatively easy if you do it on the embryo level.
If it works with the mice it will be harder to do gene therapy on all the types of stem cells we have to nuke their siRNA but it's a clear engineering challenge.
Modern DNA sequencing involves breaking the DNA into little pieces, sequencing those, then computationally reconstructing which pieces overlap with each other. That’s a lot more difficult when the pieces you’re interested in have millions of near-copies filling most of the genome. Also, the copy-events we’re interested in will vary from cell to cell.
While it's true that most DNA sequencing is based on the approach of Sanger where you get a lot of short reads (~100 basepairs windows) and use the computer to puzzle them together, Long-Read Sequencing technology is emerging.
One interesting observation about transposons is that they were likely more plentiful millions of years ago given that our DNA is full with mutated transposons. If transposons are a major factor in aging across species then there's evolutionary pressure as organisms have longer lifespan to reduce the transposon count. It would be very interesting to see whether active transposon count correlates with lifespan across different organisms.
Eric Weinstein argues that given that we chose to bread lab mice in a way that makes them get children at a younger age then wild mice there's there are evolutionary forces that radically changed their telomere length.
If that mechanism holds we should expect that's there's also less evolutionary pressure to keep active transposon count in lab mice that we breed the standard way low and lab mice should have more active transposons then wild mice.
Replies from: gilch↑ comment by gilch · 2021-06-07T20:36:16.656Z · LW(p) · GW(p)
One interesting observation about transposons is that they were likely more plentiful millions of years ago given that our DNA is full with mutated transposons.
I don't think this follows. Transposons are parasitic; they're detrimental to their host. If our ancestors millions of years ago had many more active transposons than we do now, they would not have survived to reproduce.
The mutated transposons are better explained by occasional lapses of control in the germline that accumulated gradually over time.
comment by avturchin · 2021-06-05T11:53:27.547Z · LW(p) · GW(p)
In which types of cells the most of transpasone damage happens? In stem cells? Other types of cells are recycled quickly. The same question arises about ROS.
Also, how your theory explains difference in life expectancy between different species?
comment by DirectedEvolution (AllAmericanBreakfast) · 2021-04-15T00:05:08.613Z · LW(p) · GW(p)
There's one additional crucial phenomenon that I think needs to be better highlighted here, which is natural selection for cancer as an organism ages.
Cancer isn't best understood as a manifestation of genetic damage that the body is unable to remove or repair. That's what causes individual cancer cells to emerge and survive. But that alone does not guarantee that the damaging agent (the cancer cell) will replicate itself. Damage and failure of disposal alone only leads to local blockage.
Cancer goes beyond this to propagate itself throughout the organism. It evolves, developing drug resistance, the ability to colonize new "soils," and better evade the immune system with time. This is a feature that, as far as I know, is unique to cancer. And it depends on the mechanism of natural selection.
By contrast, lipofuscin, transposon-caused DNA damage, and protein plaques seem mainly to accumulate, causing local dysfunction. It's deadly, but it's ultimately a passive force.
Hence, I think that "selection for cancer" deserves to be mentioned as a "further up the chain" core pathway of aging. This is an active, antagonistic force actively working to defeat our efforts to cure it.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-04-15T16:12:37.437Z · LW(p) · GW(p)
Eh, yes and no. I'm definitely on board with selection pressure as a major piece in cancer. But for purposes of finding the root causes of aging, the key question is "why does cancer become more likely with aging?", and my current understanding is that selection pressures don't play a significant role there.
Once a cancer is already underway, selection pressure for drug resistance or differentiation or whatever is a big deal. But at a young age, the mutation rate is low and problematic cells are cleared before they have time to propagate anyway. Those defences have to break down somehow before cancer-selection-pressures can play any role at all, and it seems like the rate-limiting step (i.e. the step which accounts for the age-related increase in cancer) is the breakdown of the defences, not the time required for selection itself. Once cancer is underway, the selection process operates on a faster timescale.
Replies from: AllAmericanBreakfast↑ comment by DirectedEvolution (AllAmericanBreakfast) · 2021-04-15T18:18:27.308Z · LW(p) · GW(p)
it seems like the rate-limiting step (i.e. the step which accounts for the age-related increase in cancer) is the breakdown of the defences, not the time required for selection itself. Once cancer is underway, the selection process operates on a faster timescale.
Maybe there are multiple aging clocks.
- Some run independently.
- In other cases, clock A 'triggers' clock B.
Cancer selection might be triggered by the 'primary aging clock' you've proposed. Once that happens, you now have two clocks running simultaneously. However, the 'cancer clock' could still be potentially triggered even in the absence of the 'primary aging clock.'
Then the empirical question becomes when in the life cycle the 'cancer clock' starts ticking. Is it always running in the background, but DNA damage from other sources makes it speed up over time? Or, in the absence of the 'primary aging clock,' would the 'cancer clock' stay off for most people, most of the time, barring exposure to some potent carcinogen?
There's also a possibility of hard-to-specify combinations of physical and mental damage that are self-perpetuating, and operate independently of DNA damage. Each year, perhaps people face a risk of trauma that triggers a cycle of progressively self-destructive behavior, a 'behavioral dysfunction clock.' That's speculation, just meant to illustrate the idea.
It still seems conceptually important to focus attention on the 'primary aging clock' as a hypothetical target. I agree with you that it's plausible the 'primary aging clock' is the bottleneck. So this is more a move from "there's one aging clock" to "there might be more than one aging clock, but one of them is a lot more responsible for diseases of aging than the others."
Replies from: ChristianKl↑ comment by ChristianKl · 2021-05-31T20:12:37.999Z · LW(p) · GW(p)
Cancer was two levels that are quite distinct.
- A new bigger cluster of cells emerging that divides forming.
- What happens once such a cluster is formed.
I think it's plausible that 1) happening more frequently in older people is due to a weaker immune system as the largest factor.
As 2) happens and a tumor develops more mutations it activates telomerase production (which results in the cancer keep on growing), develop drug resistence, create some attack surfaces for the immune system and also remove attack surfaces for the immune system.
The interaction between the immune system and a tumor is that every cells automatically presents subchains of it's proteins on it's sell surface as antigens. It's the nature of a tumor that some tumor cells have protein sequences that differ from the other cells in the organism due to mutations. When the part of the sequences that's mutated gets presented on the cell wall, the immune system can attack the tumor cells.
If a tumor mutates in a way to shut down the process of antigen's being presented on it's outside, other immune system processes are there to kill those cells.
One theory would be that the primary aging clock is reduced thymus size. A smaller thymus means a weaker immune system and it's plausible that this is the primary reason cancer develops more often in older people.
Replies from: AllAmericanBreakfast↑ comment by DirectedEvolution (AllAmericanBreakfast) · 2021-06-01T03:59:53.016Z · LW(p) · GW(p)
Interesting! Can you give me some background on where those ideas come from? I haven’t specifically studied cancer biology yet so I don’t know if this is something an intro textbook on the subject would cover, or whether they’re to some extent your original ideas?
Replies from: ChristianKl↑ comment by ChristianKl · 2021-06-01T15:39:17.662Z · LW(p) · GW(p)
What I wrote isn't very original.
The fact that immune function is worse in older people is standard knowledge and johnswentworth wrote a post about the thesis that the thymus might be a central factor here.
The fact that cancers have to mutate to activate telomerase production to be able to constantly replicate seems to me like a cancer 101 thing. There might be some cancers that happen in stem cells that actually produce telomerase naturally but it's necessary for normal cells.
A decade ago, cancer vaccines were targeting single targets and usually proteins that are developed in the fetus but not in adults. The personalized cancer vaccines currently in development are about sequencing the cancers of a patient and then creating vaccine's to targets a bunch of different mutations. I got that knowledge from an explanation about cancer vaccines.
This process of antigen presentation is done by MHC (Major Histocompatibility Complex)-molecules.
Searching a bit gives me https://pubmed.ncbi.nlm.nih.gov/33750922/ for the thesis about complete stop of antigen presentation:
Lastly, as complete abrogation of antigen presentation can lead to natural killer (NK) cell-mediated tumour killing, we also discuss how tumours can harbour antigen presentation defects and still evade NK cell recognition.
Here it seems that it's possible for a cancer to mutate in a way where it has some antigen presentation defects and still avoid NK cell recognition but it doesn't seem to be the standard case.
One distinguishing factor of cancer cells is that they either have to present antigens of their mutations on their cell walls or fail to present some antigens that normal cells present on their cell wall.
Given cancer patients NK cells is one way of cancer immunotherapy that's currently studied. There's recent research on artifical NK cells.
There's the general issue of biology usually being complex and there being a lot of unknowns, so when I say it's plausible that reduced immune function is the most important reason for more cancers in old people, I'm not claiming that we currently have evidence for that thesis but that what we know is compatible with the thesis.
comment by gwillen · 2021-04-01T05:05:49.891Z · LW(p) · GW(p)
Main upshot of all this: since aging involves changes on a timescale of decades, there must be some component which is out-of-equilibrium on a timescale of decades or longer (i.e. does not turn over significantly across a full human lifespan). These are the components which we’ll call “root causes”. Everything else which changes with age, changes only in response to the root causes.
A quibble: Just because some component turns over frequently, doesn't mean that higher-level structures made from that component aren't degraded in the process. For example, if I accidentally cut off the tip of my finger, the relevant cells will all grow back, but the finger will not; the larger-scale pattern remains degraded for life.
In the case of my fingertip, obviously we would consider that an injury, not an aspect of aging. But it seems hard to be sure that there aren't any aspects of aging that work this way?
Replies from: johnswentworth, ChristianKl↑ comment by johnswentworth · 2021-04-01T17:57:45.605Z · LW(p) · GW(p)
The key idea here is the difference between "local" vs "nonlocal" changes in a multistable system - moving around within one basin vs jumping to another one. The prototypical picture:
![](https://upload.wikimedia.org/wikipedia/commons/thumb/5/54/Bistability.svg/1280px-Bistability.svg.png)
For your finger example, one basin would be with-finger, one basin without-finger. For small changes (including normal cell turnover) the system returns to its with-finger equilibrium state, without any permanent changes. In order to knock it into the other state, some large external "shock" has to push it - e.g. cutting off a finger. Once in the other state, it's there permanently (as long as there aren't more large shocks); the new state is stable.
In the absence of large external shocks, the system hangs around in a stable basin. In terms of information in the high-level structures, this means that any information is either (a) degraded quickly, on roughly the same timescale as component turnover, or (b) maintained indefinitely. Picture an actual ball being gently shaken around in a bowl: information about the ball's exact position at any given time will be lost quickly; its position a minute or two later won't tell us much about its position now. However, the fact that it's in the bowl will be maintained indefinitely (more technically, maintained for an exponentially long time, assuming the average shaking energy is substantially lower than needed for the ball to jump out). Any information which isn't lost quickly, will likely stick around for a very long time.
↑ comment by ChristianKl · 2021-06-06T22:52:03.201Z · LW(p) · GW(p)
For example, if I accidentally cut off the tip of my finger, the relevant cells will all grow back, but the finger will not
I'm confused what you mean with relevant cells growing back but not the finger. The finger is made up of cells.
Humans do have mechanisms for growing back the tip of fingers. Kids can regrow finger tips better then adults even when the process not always works satisfactorily.
comment by Oleg S. · 2021-03-28T15:27:12.278Z · LW(p) · GW(p)
If I follow the logic correctly, the root cause of aging is that stem cells can irreversibly and invisibly accumulate active transposones, which are then passed on to derived cells, which then become senescent much faster. Also, for some reason this process is supressed in gonads. So, I see these alternatives:
- Transposone activation is essentially blocked in gonades, or
- There is a barrier which prevents embryos with above-normal number of active transposones from developing, or
- Children born from parents of old age will age faster, or
- Active transposone accumulation is not a root cause of aging.
↑ comment by [deleted] · 2021-03-28T22:28:49.136Z · LW(p) · GW(p)
On the 'old parent' hypothesis : let me point out that if there is not a full 'reset' somewhere in the chain, well, we wouldn't exist, because some of our ancestors were old parents, and the effect would be cumulative, such that none of us would live past childhood due to aging. (there is a disease like that, albeit with a different root cause)
Replies from: simon↑ comment by simon · 2021-03-29T15:00:21.516Z · LW(p) · GW(p)
If the suppression of transposons in the gonads is good enough, the reset could be the same as with any other harmful mutation - shuffling by sexual reproduction and natural selection.
Which may suggest a reason why sexual reproduction exists in the first place.
Replies from: None↑ comment by [deleted] · 2021-03-29T18:55:27.171Z · LW(p) · GW(p)
? So the hypothesis here from you is this:
base age = (age of parents at conception) * <a small number>
human bio age = calendar age + base age
With this formula, without anything to subtract base age, it will monotonically increase and eventually extinct the species. Sexual reproduction doesn't solve the problem because it can only recombine traits that exist, and if all humans in the mating pool have high base age, it won't work.
Also, pre-human primates would probably increment the 'base age'.
I am saying that probably there is another piece:
On Human Embryonic development:
base age = 0
This would also suggest how to repair aging:
trigger human embryonic development flags in cells taken from the patient, then trigger flags to differentiate the cells to the target stem cell, then reinject the stem cells where they go into the target tissue. Example, bone marrow.
Tissues that can't be repaired this way (the brain) you would have to slowly replace with artificial prosthetics, connected by neuro links.
Replies from: FireStormOOO, simon↑ comment by FireStormOOO · 2021-05-31T06:01:42.736Z · LW(p) · GW(p)
Your assertions about that formula don't follow; while it is monotonic it converges to a finite value. E.g.for 'small number'=0.1, 'calendar age'= 30 at reproduction this converges to a base age at birth of 3.333 repeating and base age of 33.333 repeating. Inverse exponential beats linear (and polynomial) functions.
More directly on topic, germ line damage control doesn't need to be all that good to keep aging related damage from building up. Anything under unity converges with that model and anything under about half converges to something reasonable.
↑ comment by simon · 2021-03-29T23:57:10.988Z · LW(p) · GW(p)
It's a stochastic process, not a clock. One person gets an extra transposon copy at location A, another gets one at location B, sexual reproduction drops both 1/4 of the time.
Replies from: None↑ comment by [deleted] · 2021-03-30T00:01:35.775Z · LW(p) · GW(p)
That would work. Though why don't we observe lots of children suffering from aging.
Replies from: simon↑ comment by simon · 2021-03-30T00:42:55.585Z · LW(p) · GW(p)
It's possible that natural selection has historically kept the quantity of transposons down to small levels relative to the amount that one gains in non-gonad cells during aging. While this may change now that selection is relaxed, if the transposon suppression in gonads is good enough, it may take a long time. (and selection may not really be relaxed in our case, given our tendencies to late reproduction).
↑ comment by johnswentworth · 2021-03-28T16:46:06.925Z · LW(p) · GW(p)
Solid reasoning.
Transposon activity is indeed believed to be repressed in the gonads to a much greater extent than elsewhere. I've also seen a few papers talking about health problems in the children of old parents, though I don't know as much about that.
comment by Alex K. Chen (parrot) (alex-k-chen) · 2023-01-30T14:25:31.623Z · LW(p) · GW(p)
Mammals of any age have “fatty streaks” along the walls of the vasculature, which are exactly what they sound like. (These are the slightly lighter patches in the pictures above - more obvious in the older aortas, but faintly visible in the young pair as well.) In older mammals, the fatty streaks tend to be larger, until in old age they necrotize (aka die) in the middle and turn into thick “atherosclerotic plaques” (the dark patches in the lower right picture above). These can block blood circulation, and sometimes a chunk of the plaque can break off and block circulation in smaller vessels; either of these can cause e.g. heart attack or stroke.
At any age, a lower-fat diet is associated with smaller fatty streaks and lower chance of atherosclerosis, though the streaks universally grow with age holding diet constant.
Aren't those way less bad in rats/mice (which tend not to suffer from arteriosclerosis at the ages they manage to survive to simply b/c they die of cancer before they can develop them?)
comment by tailcalled · 2021-08-23T16:59:24.668Z · LW(p) · GW(p)
Does this blood finding change anything here?
Replies from: johnswentworth↑ comment by johnswentworth · 2021-09-09T18:43:26.404Z · LW(p) · GW(p)
Not especially. Sequencing transposons in particular is tricky, and requires special techniques. It sounds like the authors of that paper used pretty standard techniques, which mostly ignore transposons; they mainly looked at point-mutations.
It does still provide some very interesting tangentially-related data, especially about the phylogeny (i.e. the "loss of clonal diversity" with age). Pretty cool paper overall; this exact methodology plus a transposon-specific sequencing pipeline is exactly the sort of study I'd really like to see.
comment by ardakara · 2021-06-03T10:14:54.039Z · LW(p) · GW(p)
What might the best ways of transposon quantity/activity approximation methods for this effect that are average human affordable & accessible?
Wondering if correlation data collection can be taken to a different scale + the concept can be popularized as a self-care metric.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-06-03T15:21:28.962Z · LW(p) · GW(p)
Good question.
The problem is difficult for two main reasons:
- a huge fraction of the genome consists of dead transposons
- assuming the model is correct, different cells will have different numbers of live transposons
The first point makes it difficult-in-general to count transposons in the genome, especially with high-throughput sequencing (HTS). HTS usually breaks the genome into small pieces, sequences them separately, then computationally reconstructs the whole thing. But if there's many copies of similar sequence, this strategy is prone to err/uncertainty, and that's exactly the case for all those transposon-copies.
That said, tools for reliably sequencing transposons are an active research area and progress is being made, so it will probably be cheaper in the not-too-distant future.
One way to circumvent this whole issue is to look at the amount of transposon RNA in a cell, rather than DNA. This doesn't tell us anything about live transposon count - there could be a bunch of fresh copies which are being suppressed in a healthy cell. But it will tell us how active the transposons are right now. In practice, I expect this would mainly measure senescent cells (since they're the only cells where I'd expect lots of transposon RNA), but that's a hypothesis which would be useful to test.
Replies from: ardakara↑ comment by ardakara · 2021-06-15T09:46:26.923Z · LW(p) · GW(p)
I see, thanks. Could approaches like Horvath's phenoage/grimage (which I think go after methylation) be good enough proxies for the "transposon clock" or somewhat correlated but different things?
Replies from: johnswentworth↑ comment by johnswentworth · 2021-06-15T16:12:33.819Z · LW(p) · GW(p)
Methylation is the primary transposon suppression mechanism, so methylation levels would tell us the extent to which transposons are suppressed at a given instant, but not the number of live transposon copies.
comment by Mary Chernyshenko (mary-chernyshenko) · 2021-06-01T05:43:08.249Z · LW(p) · GW(p)
I don't understand this:
For any X with turnover much faster than aging (i.e. decades), if we see the level of X increase/decrease on the timescale of a human lifetime, then that is not due to permanent “accumulation of X” or “depletion of X”; it is due to increase/decrease in the rate of creation/removal of X.
Is it not just how accumulation and depletion exactly occur in biological systems? Not even specifically at the cellular level?
Replies from: johnswentworth↑ comment by johnswentworth · 2021-06-02T16:19:16.087Z · LW(p) · GW(p)
A (likely) counterexample is elastin: it seems to not be broken down at all in humans. So if new elastin is produced (e.g. as part of a wound-healing response), it just sticks around indefinitely.
This is in contrast to homeostatic equilibrium, which describes most things in biological systems, but not elastin.
Writers do sometimes use "accumulation"/"depletion" to refer to things in homeostatic equilibrium, but I find this terminology misleading at best, and in most cases I think the writer theirself is confused about the distinction and why it matters.
Replies from: mary-chernyshenko↑ comment by Mary Chernyshenko (mary-chernyshenko) · 2021-06-04T03:34:41.016Z · LW(p) · GW(p)
Must be a local thing, then. (Or it's opposite is a local thing, and I'm just used to systems crawling leisurely to some equilibrium, like seed banks, and to systems where the equilibrium is hard to define for a given moment, like internal parasite loads.)
comment by GeneSmith · 2021-05-31T05:55:24.108Z · LW(p) · GW(p)
How do the ROS and/or damaged molecules move between compartments, e.g. nucleus/cytoplasm/extracellular? I have seen very little on this, and consider it a major blindspot. I’m not sure if it’s a blindspot for the field or if I just haven’t found the right cluster of papers.
Man, I wrote up a whole summary of the mitochondria free radical theory of aging for you after reading this paragraph, then read the rest of your post and realized you already know about it. I'm surprised though that you still have questions about this, because the mechanism of export is described in Aubrey de Grey's book. At least it's described in his book "Ending Aging". I haven't read the other one, so I'm not sure if it contains less information.
A very quick description is that cells overtaken by clonal mutant mitochondria export electons from their cell membranes to keep themselves alive via the Krebs cycle (since the electron transport chain in mitochondria, which normally receives these excess electrons, is shut down).
The receptor molecule for these excess electrons is oxygen. These oxygen molecul\es with extra electrons are very powerful free radicals, and end up reacting with whatever molecule they bump into first. Unfortunately some decent fraction of these reactions are with low-density lipoproteins, which are then transported by the bloodstream to a much larger area of the body, and eventually deposited on blood vessel walls, contributing to atherosclerosis.
I'm glossing over a lot of details here, so if you want to read more about it, check out Chapter 5 of Ending Aging.
This book did come out in 2008, and I imagine quite a few new things have been learned in that time, so I'm not sure if this theory is still accepted. I'd be interested to know if there's been any follow-up research.
I don’t know whether there’s any evidence that these molecules actually accumulate long-term. (Just because they’re not broken down doesn’t mean they’re not simply excreted.) I haven’t seen direct evidence, but I haven’t searched very carefully either, and I haven’t seen direct evidence against.
If I understand correctly, accumulation of A2E in the lysosomes of microglia in the retina is one of the main causes of macular degeneration. There is also a big section of Ending Aging dedicated to the topic of lipofuscin in general (non-digestible material that accumulates in the lysosomes of long-lived cells)
Final Thoughts
This is an amazing write-up. I am very surprised that De Grey's book didn't mention transposons. Is that new?
Regardless, it doesn't seem like a stretch at all that they could play a key role in aging.
One thing I noticed was missing from your post: any mention of the role of information loss in the epigenome as part of aging. That seems to be Dr. Sinclair's main theory for the root cause of aging. Sounds like that could actually be closely intertwined with transposon activity since transposons are repressed by methylation or histone structure most of the time.
And of course, since I am always thinking of genetic engineering, this whole post made me think that removing transposons from the human genome via genetic editing, should we find a way to do it safely without affecting desired function, would be a great victory against aging. Evolution has not and will not act in our best interest, and there is no better example of this than the existence of transposons. They are basically parasites within our genomes.
Replies from: johnswentworth↑ comment by johnswentworth · 2021-05-31T17:22:01.729Z · LW(p) · GW(p)
Great comment.
So, de Gray gave that mechanism for ROS export (which I think was one of his best contributions on the theory side of things, it was plausible and well-grounded and quite novel). It is a mechanism which can happen, although I don't know of experimental evidence for whether it's the main mechanism for ROS export, especially in senescent cells. And that also still leaves the question of ROS import into other cells - not so relevant for atherosclerosis, but quite relevant to the exponential acceleration of aging. Also, it leaves open the question of ROS transport between mitochondria/cytoplasm/nucleus, which is necessary to explain the DNA damage part of the senescence feedback loop.
comment by megabranflake · 2021-05-30T21:21:05.944Z · LW(p) · GW(p)
comment by J Bostock (Jemist) · 2021-05-30T18:47:42.887Z · LW(p) · GW(p)
What do you think about the ability to predict age to surprising accuracy using ~350 DNA methylation sites? Sadly I can't work out if the author has considered looking at the sites to see much of what the methylation is changing the transcription of, other than the PGCT genes which based on a cursory search seem to be linked by being targets of a specific process rather than doing a specific thing. Again this makes it unclear whether this is upstream or downstream of ageing.
Mitochondrial mutation accumulation seems to be a big thing, mitochondrial dysfunction is implicated in Alzheimer's, and might be linked to a bunch of signalling around epoxyeicosatrienoic acids [LW · GW]. This is confused by the fact that EETs might induce mitogenesis but are also also anti-inflammatory and regulate the vascular system (?!) because biochemistry just like this sometimes.
Oddly enough, mitophagy also seems to be a potential target of anti-ageing drugs. Possibly the (selective) turnover of mitochondria can be used to remove the most dysfunctional ones? Perhaps the two processes might be coupled in such a way that speeding up one speeds up the other. Also some people have suggested combining these before but then as far as I can tell just didn't bother to check if it actually worked (!?!?)
Whether mitochondrial mutations are upstream or downstream of other things is unclear. I think Nick Lane has suggested a mechanism by which mitochondrial mutations could actually accumulate faster than by chance (definitely in "The Vital Question" but possibly elsewhere) but I don't know if it has been tested.
(Posting as a top-level comment since I have a few points to say but the stuff about DNA methylation is sort of in response to comments below)
Replies from: johnswentworth↑ comment by johnswentworth · 2021-05-31T17:01:02.106Z · LW(p) · GW(p)
One very important thing I don't know about the work on methylation sites is whether they're single-cell or averaged across cells. That matters a lot, because senescent cells should have methylation patterns radically different from everything else, but similar to each other (or at least along-the-same-axis as each other).
One thing I am pretty confident about is that methylation patterns are downstream, not upstream. Methyl group turnover time is far too fast to be a plausible root cause of aging. (In principle, there could be some special methyl groups which turn over slowly, but I would find that very surprising.)
Some key experimental findings on the mitogenesis/mitophagy stuff:
- mitochondrial mutants are clonal: when cells have high counts of mutant mitochondria, the mutants in one cell usually have the same mutation.
- it's usually a mutation in one particular mitochondrial gene (figure 1 in this paper is a great visual of this).
(For references, check these two papers and their background sections.) These facts imply that mitochondrial mutations aren't random - under at least some conditions, mitochondria with certain mutations are positively selected and take over the cell. Furthermore, this positive selection process accounts for essentially-all of the cells taken over by mutant mitochondria in aged organisms.
Then the big question is: do mitchondria with these mutations take over healthy cells? If yes, then the rate at which mutant-mitochondria-dominated cells appear is determined by the rate of mitochondrial mutations. However, I find it more likely that the "quality control mechanisms" of selective mitophagy/mitogenesis do not favor mutant mitochondria in healthy cells, but do favor them in senescent cells. In that case, mutant mitochondria are probably downstream of cellular senescence. I don't know of a study directly confirming/disconfirming that, but it matches the general picture. For instance, there are far more senescent cells than mutant mitochondrial cells. Also, the mitochondrial quality control mechanisms seem linked to membrane polarization, and in senescent cells the membranes of even healthy mitochondria are partially depolarized (that's part of the feedback loop discussed in the post), so partial depolarization would no longer confer as large a selective disadvantage.
comment by [deleted] · 2021-03-28T15:28:33.605Z · LW(p) · GW(p)
In principle, we could test it by looking for an age-related increase in transposon count in non-senescent cells, but that turns out to be actually-pretty-difficult in practice. (Modern DNA sequencing involves breaking the DNA into little pieces, sequencing those, then computationally reconstructing which pieces overlap with each other. That’s a lot more difficult when the pieces you’re interested in have millions of near-copies filling most of the genome. Also, the copy-events we’re interested in will vary from cell to cell.)
I wonder if something like single cell ATAC-seq could help here? There's still the problem of aligning near-copies but it seems like there's already some work trying to deal with this problem. (I haven't read either of these papers in detail but the second specifically mentions transposons as a use-case.)
Replies from: johnswentworth↑ comment by johnswentworth · 2021-03-28T16:43:31.258Z · LW(p) · GW(p)
Yeah, I haven't read up on the topic in depth, but there's a few toolkits specifically intended for sequencing transposons. So it's probably not something which would require major breakthroughs at this point, but it does require specialized tools/knowledge, rather than just the standard sequencing toolkit.
comment by tailcalled · 2023-09-15T10:03:10.811Z · LW(p) · GW(p)
Could prions be another potential root cause? Either contributing to the DNA damage <-> mitochondrial ROS feedback loop, or as a cause of some separate conditionally independent aging factor?
Replies from: johnswentworth↑ comment by johnswentworth · 2023-09-15T16:17:40.104Z · LW(p) · GW(p)
Unlikely. This isn't something I've studied much, but based on my current understanding:
- Prions are quite rare to start with, IIUC there are not currently any known prions which show up in the whole human population.
- Prions still turn over via the normal protein turnover mechanisms, so the only way they stick around is by reproducing faster than that turnover, and that would all be on a timescale much much faster than human aging.
comment by tailcalled · 2023-02-25T14:11:27.093Z · LW(p) · GW(p)
This post focuses on the cellular scale and below, but what about the larger scales?
comment by scottviteri · 2021-03-30T05:08:01.545Z · LW(p) · GW(p)
Since calorie restriction slows aging, is there a positive relationship between calorie intake and number of DNA mutations?
Replies from: scottviteri↑ comment by scottviteri · 2021-03-30T06:03:29.920Z · LW(p) · GW(p)
Do trees age?