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When an older heart is transplanted into a younger person, it doesn't stay "old." Vadim Gladyshev's lab shows the heart actually starts aging on the timeline of the body it's now living in — its biological age shifts to match the recipient, not the original donor, at the molecular level.
biorxiv.org/content/10.64898…
A team at the University of Cologne, led by David Vilchez, studied why worms live longer in the cold. When it’s cold, the worms’ muscles make more of a small molecule called BH2. Other parts of the body, like the gut and nerves, turn it into a helper molecule that lets them build an amino acid called tyrosine. When the researchers made muscles produce extra BH2, the worms lived longer even in normal and warm temperatures. Would be great to have mouse data, but still very interesting. 1/2 nature.com/articles/s41586-0…
Cold upregulates CAT-4 (GCH1 in humans) and BH2 synthesis in muscle. BH2 is transported to intestine and neurons, converted to BH4 by DHFR-1, and BH4 drives tyrosine synthesis by PAH-1. Muscle-specific cat-4 overexpression extended lifespan at 15, 20 and 25 °C and reduced intestinal IFB-2 aggregation. Tyrosine supplementation extended lifespan at standard temperature, while BH2 supplementation only slightly extended it in the cold. In human cells, BH2 or tyrosine reduced aggregation of polyQ-huntingtin and mutant TDP-43 and FUS, and reduced apoptosis in iPSC-derived ALS motor neurons. Oxidative stress blunted BH2’s effect, while tyrosine kept working. 2/2
Maria Konovalenko retweeted
Dear President Kornbluth and Chairman Gorenberg,
Yesterday, as I am sure you are aware, a Boston jury unanimously found that @MIT professor Kristin Knouse defamed David Sabatini, falsely accused him of rape and sexual harassment, and tortuously interfered with his contractual arrangements including his tenure at MIT.
MIT and its tenure review committee relied on Professor Knouse’s statements when it took away David’s tenure and terminated him.
MIT's policies explicitly prohibit harassment, retaliation, and fabrication of claims. Falsely accusing a colleague of rape and sexual harassment and pushing for his termination under false pretenses are clearly violations of MIT policy.
In light of the unanimous findings of the jury after five years of discovery, many legal motions and countermotions by both parties, and a three-week trial in Suffolk County Superior Court in Boston:
Is MIT going to take away Knouse’s tenure and terminate her?
If not, why not?
Is MIT going to restore David’s tenure, and apologize for firing him?
If not, why not?
In light of what has transpired in this grave miscarriage of justice, MIT has the opportunity and the obligation to right a serious wrong here.
At a minimum, the public deserves transparency into what actions MIT is taking in this case as taxpayers are major funders of MIT.
Sincerely,
Bill Ackman
A civil jury ruled in favor of ex-MIT scientist David Sabatini, who was accused by a younger colleague of inappropriate sexual conduct in his Cambridge research lab, and awarded him $6 million in damages. trib.al/s3v9VIX
A team at the Wyss Institute and Harvard Medical School, led by George Church, with colleagues at CIC bioGUNE in Spain, screened for genes that make the activity patterns of human skin cells look younger. One of them, a splicing factor called SRSF1, reduced signs of aging in cultured cells without changing what kind of cells they were. In aged mice, switching it on slowed frailty and was associated with a 14% longer median lifespan. nature.com/articles/s43587-0…
They built a transcriptomic age predictor from human fibroblasts and ran a cDNA overexpression screen, which identified SRSF1. In vitro, SRSF1 induction reduced senescence, proteostatic stress and inflammatory signaling, and lowered transcriptomic age without loss of fibroblast identity or a pluripotency program. In aged mice, inducible SRSF1 delivered by AAV (primarily reaching the liver) reduced frailty progression by 44% and was associated with a 14% longer median lifespan. Caveats: small groups, mechanism unclear (altered splicing is a candidate), SRSF1 is a known proto-oncogene, and the authors say delivery and dosing are unresolved.
A team at Mass General Brigham reports that middle-aged male mice have fewer of the immune cells that recognize new threats, including tumors, than females of the same age. A short course of hormone-blocking treatment increased thymus cell numbers in the males, brought those immune cells back in their lymph nodes and improved their response to immunotherapy. Evidence in people so far is correlational. 1/2
nature.com/articles/s43587-0…
Males lose naive CD8+ T cells earlier. In the proposed mechanism, self-reactive (CD5-high) naive cells convert without antigen into short-lived virtual-memory cells, with IL-15 permissive for the conversion. Thymic involution limits replacement, and lymph nodes contract. Brief IL-15 treatment in young female mice caused a lasting naive-cell decline and worse tumor control in middle age. In middle-aged male mice, androgen ablation (gonadectomy or four weekly degarelix doses) increased thymus cellularity, restored thymocyte development and naive CD8+ cells in lymph nodes, and improved anti-PD-1 response. The effect was smaller in aged males. Caveats: mouse groups were small (single experiment), the human data are correlational, and the authors say a direct link between thymic involution and the conversion is not established. 2/2
On brown fat, clocks and fat burning 🔥
Brown fat burns more energy in the morning and in the cold, and it barely runs while you sleep. A new preprint finds one mitochondrial protein that responds to the body clock, cold, and dietary fat all at once.
Researchers from the University of Copenhagen, UPenn, and collaborators studied SLC25A34, a mitochondrial transporter that no one had assigned a job to. Mitochondria are the compartments in your cells that burn fuel for energy in the form of ATP, and transporters are the gates that move molecules in and out of them.
A little primer on some of the concepts of the study:
Brown fat is a heat-producing tissue. Its cells run a loop: they build fat in the cytosol, the fluid outside the mitochondria, then burn it inside the mitochondria. Building and burning at the same time looks wasteful. That waste is the point, because it releases energy as heat. In humans, brown fat activity is linked to better metabolic health.
What the study found:
• Cold exposure raised SLC25A34 about 90-fold in mouse brown fat within 24 hours, making it the most enriched tissue for this gene, ahead of the heart
• During sleep, the clock protein REV-ERBα keeps the gene switched off. Waking or cold removes that brake
• A fat-sensing protein called PPARα then switches the gene on, and it responds to the fats released when cells break down stored fat
• A ketogenic diet (93% fat) made it the second most induced gene in the entire brown fat transcriptome. A standard high-fat diet had a much smaller effect
• Silencing the gene in brown fat cells reduced respiration, fat synthesis, and mitochondrial content, and acetyl-CoA levels dropped
Acetyl-CoA is the raw material cells use to build fat, and it also helps signal genes to make more mitochondria.
The proposed mechanism: when cells make acetyl-CoA outside the mitochondria, a leftover molecule called oxaloacetate gets stranded in the cytosol. SLC25A34 appears to carry it back in, which keeps the building and burning loop moving. Without the transporter, oxaloacetate piled up outside and fell inside the mitochondria. Adding acetate, an alternative source of acetyl-CoA, largely rescued the damage.
There is also an early human signal. Across 23 clinical studies, SLC25A34 in subcutaneous fat was linked to lower BMI, waist circumference, triglycerides, and insulin resistance, and to higher HDL. The correlations were small, and no link appeared in belly fat around the organs.
This is a preprint, most of the work is in mice and cultured cells, and direct proof that the protein transports oxaloacetate is still pending. Whether the same circuit matters in human brown fat is unknown.
What this means for longevity and health optimization:
No one has tested whether you can raise SLC25A34 on purpose, so none of this is a protocol. But the findings line up with habits that already have support, and they offer a possible mechanism for why those habits work.
• Cold exposure: Cold was the strongest trigger in the study. It fits with research linking regular cold exposure to more active brown fat, though the best dose for people is still unclear
• Sleep and circadian rhythm: The clock brake that keeps this gene off at night is released around waking. Consistent sleep and wake times, and morning light, may help your brown fat switch on on schedule
• Diet composition: Very high fat intake, as in a ketogenic diet, turned the gene on in mice. That doesn't mean keto boosts brown fat in humans, and a standard high-fat diet had a much smaller effect
• Mitochondrial health: Brown fat declines with age and with obesity. Keeping it active may be one way to preserve mitochondrial capacity in a tissue that burns fat and clears glucose
The larger point is that timing, temperature, and fuel all converge on the same mitochondrial gate.
Maria Konovalenko retweeted
One way to study aging is to compare species: mice live 2 years, bowhead whales live 200, so look for stuff that differs. The trouble is that a mouse and a whale differ in a million ways, and you can't tell what's important.
These papers do something cleaner. They compare animals that are nearly identical but live very different lengths. A Great Dane and a Chihuahua are the same species, yet one lives twice as long. Jonathan is the same species as tortoises that typically die before 100. Call it the discordant-relatives approach. It works like a twin study where one twin ages faster.
Here's what I think they show.
Aging isn't about avoiding disorder. It's about choosing where to allow it.
You'd expect the oldest land animal to have a pristine epigenome. He doesn't. In fact, he's a hot mess. Jonathan's methylation has drifted toward randomness across the genome, about as much as you'd predict for his age. The exception is the promoters of genes that encode mitochondrial gene products, RNA processing machinery, and DNA repair machinery. Those stay more orderly.
The dogs show the mirror image. Large dogs, which die young, lose methylation fastest at transposons, the parasitic DNA in your genome that biology spends a lot of effort keeping silent. The effect is strongest in the evolutionarily youngest transposons, the ones that still have enough sequence integrity to copy themselves.
So long life looks less like a better shield and more like better judgment and prioritization. Everything degrades. What matters is what you defend.
Aging looks less like wear and more like growth that doesn't stop.
The dog epigenetic clock runs fastest in young dogs, not old ones. It's pretty neat that the actual clock ticks faster when you're young than when you're old, assuming you're a dog. And big dogs look epigenetically older than small dogs of the same age. If aging were mainly accumulated damage, you would think the clock should speed up late in life. Instead it behaves like a developmental program that keeps running. I think this is pretty cool, and I haven't seen this before.
Size works in opposite directions depending on where you look.
Within a single species, bigger = shorter-lived. Across species, bigger usually means longer-lived, and Jonathan weighs 250 kg (he's a very cute beast). How do I reconcile this? Here's a guess: within a species, extra size comes from extra growth signaling on a fixed maintenance budget. Across species, evolution raises the budget along with the size. The tortoise carries extra copies of DNA repair genes and ten copies of perforin, which immune cells use to kill senescent cells. If that's right, the genes that make one species outlive another may be mostly different from the genes that make one individual outlive another.
Time scales with lifespan.
In humans, each year your epigenetic clock runs ahead of your real age raises your risk of death by about 2%. In dogs, it's 15%. That sounds like a big difference until you notice dogs live about one-sixth as long. Per unit of lifespan, it's the same number. The clock seems to measure the fraction of your life you've used, not the years.
How much to believe each paper
The dog paper is solid: large sample, followed over time, and the clock predicts death. The tortoise paper is one animal compared with four, and some of its genetic analysis can't support the claims made for it. Treat it as a hypothesis worth testing.
But the hypotheses fit together, and they make a testable prediction. If transposon unsilencing actually causes aging rather than just marking it, it should precede inflammation and cancer in individual dogs, and it should do so most steeply in big ones. @dogagingproject can check that. If it holds, it would be cool.
Papers and technical notes below ↓
Fascinating read actually
Exclusive: When Tessa Montague learned about #CRISPR, the gene-editing system that was supposed to make it easy to modify any organism, she set her sights on the cuttlefish. The Columbia University neuroscientist dreamed of injecting its embryos with genes that would prompt its neurons to fluoresce as they fired.
The flashes would let her track how this tentacled creature's brain controls one of its most striking behaviors: camouflaging itself by copying patterns it perceives in its surroundings onto its skin. Unlike most animals, she says, “cuttlefish can actually tell us what they see.”
Six years and thousands of embryos later, she has reached a milestone: seven cuttlefish that glow red under fluorescent light. Every cell in their boneless bodies contains a gene encoding a synthetic fluorescent protein—even their eggs and sperm, which means their cuttlebabies glow, too.
The work, posted as a preprint, marks the first time anyone has successfully added a new gene to a cephalopod. scim.ag/4ytddWd @NewsfromScience
A team at Amsterdam UMC compared the fats in tissues from mice, worms, flies, and people. In all four, the fatty tails of membrane lipids get longer with age, and in worms, reversing that lengthening extended lifespan. One potential explanation is that membrane lipid makeup affects vulnerability to oxidative damage, though this paper doesn’t test that idea.
Cross-species, multi-tissue lipidomics showed acyl chain lengthening with age in mice, C. elegans, Drosophila, and humans, driven largely by loss of shorter species. Lengthening also appeared with human heart disease progression, and dietary restriction shortened cardiac lipids in mice. Plb1 expression correlated with lifespan in mice, and Mendelian randomization supported a role in human frailty. In C. elegans, Plb1 knockdown reversed lipid elongation and extended lifespan in a lipid-length-dependent way.
A write-up of the Nature Aging commentary on this paper raises the “membrane pacemaker” idea, which ties membrane lipid composition to lifespan through susceptibility to oxidation. That is a hypothesis, not something the paper tests. Open questions it raises: does shortening lipid chains extend life in mammals, and can elongases be blocked without disrupting the very-long-chain lipids the brain and skin need?
bioengineer.org/longer-fat-c…
Since we’re on the APOE4 train - a really detailed explanation of what APOE2 does that is good and what APOE4 does that is bad.
Two versions of the same gene produce opposite effects on Alzheimer's risk, but until now we didn't know why. A new proteomics study reveals they work through completely different molecular mechanisms.
The gene is APOE, the strongest genetic factor for Alzheimer's disease. Everyone inherits two copies, one from each parent. There are three main variants: ε2, ε3, and ε4.
Think of these variants as different spellings of the same gene. The difference is tiny at the DNA level, just two amino acid substitutions in the protein, but the functional consequences are massive.
ε3 is the most common variant and serves as the baseline. About 60% of people carry two ε3 copies.
ε4 is the high-risk variant. If you carry one copy of ε4, your Alzheimer's risk increases 2 to 3-fold compared to ε3/ε3. Two copies raise it up to 12-fold. About 15-20% of the population carries at least one ε4 allele.
ε2 is the protective variant. Carriers have reduced Alzheimer's risk and delayed onset compared to ε3/ε3. This variant is rarer, found in about 5-10% of people.
Here's the paradox: both ε2 and ε4 alter the same protein, apolipoprotein E, which helps transport cholesterol and other fats in the brain. But ε4 dramatically increases disease risk while ε2 protects against it. Most research has focused on why ε4 is harmful. Almost no one has systematically studied why ε2 is protective.
Researchers from multiple institutions analyzed protein levels in blood plasma and cerebrospinal fluid across 3,289 individuals from five different cohorts. They measured thousands of proteins in people carrying ε2, ε3, or ε4 variants, some cognitively healthy and others with Alzheimer's dementia.
The key methodological advance: they distinguished proteins altered directly by the APOE variant from proteins altered as downstream consequences of disease.
Most studies can't separate these. If a protein is elevated in ε4 carriers with Alzheimer's, is that because ε4 directly changes that protein, or because ε4 causes Alzheimer's and the disease changes the protein?
They solved this by measuring proteins in people before amyloid plaques formed. Amyloid pathology is one of the earliest detectable signs of Alzheimer's.
By profiling cognitively unimpaired individuals with no amyloid accumulation, the researchers isolated the direct effects of each APOE variant independent of disease.
They then used a mediation framework to categorize proteins into two groups:
• Upstream mediators: APOE variant → protein change → Alzheimer's disease
• Downstream effects: APOE variant → Alzheimer's disease → protein change
This distinction matters because upstream mediators are the proteins that might actually drive disease risk. Downstream effects are consequences of pathology that's already underway.
APOE2 altered 192 proteins compared to ε3 carriers. These proteins were enriched in cellular maintenance pathways and anti-inflammatory processes. The effects were detectable before any amyloid pathology and remained stable across age and disease progression.
APOE4 showed a completely different pattern. A small set of upstream mediators linked to cell cycle regulation and oligodendrocyte precursor cell biology. But a much broader group of proteins reflected vascular dysfunction, immune activation, and proteostatic stress shaped by downstream pathology.
Here's the comparison:
APOE2:
• 192 proteins altered
• Dominated by upstream mediators
• Enriched in cellular maintenance and anti-inflammatory pathways
• Effects independent of disease status
• 92% of protein associations remained significant after adjusting for Alzheimer's diagnosis
APOE4:
• Limited upstream mediators
• Broader downstream dysfunction
• Vascular, immune, and proteostatic alterations driven by pathology
• Effects amplified by disease progression
The researchers also found proteins that were oppositely regulated between ε2 and ε4. These allele-specific signatures suggest the two variants don't just differ in magnitude, they operate through distinct molecular architectures.
One critical finding: APOE-associated protein changes were detectable in people decades younger than typical Alzheimer's onset and remained stable across the entire aging process. This means the molecular signatures of genetic risk are present long before any clinical symptoms.
The stability across age and disease stage suggests these aren't transient responses to pathology. They're persistent molecular states set by the APOE variant you carry, present from early adulthood through late-stage disease.
The study also validated findings across multiple tissues (plasma and cerebrospinal fluid) and multiple proteomic platforms (SomaLogic, OLINK, mass spectrometry). This cross-platform replication strengthens confidence that the identified proteins represent real biological signals rather than technical artifacts.
The implications: APOE2 and APOE4 shape Alzheimer's risk through fundamentally different mechanisms. APOE2 appears to maintain cellular homeostasis and suppress inflammation through upstream pathways. APOE4 has limited direct protective effects and allows broader downstream dysfunction once pathology begins.
This explains why interventions targeting APOE4 might need to address multiple pathways, while APOE2-mimetic strategies might focus on enhancing specific cellular maintenance programs that the protective variant naturally upregulates.
The protein signatures identified here also serve as candidate biomarkers for stratifying Alzheimer's risk and monitoring therapeutic response in clinical trials. Because the signatures are detectable in blood plasma, they could be measured non-invasively long before symptoms appear.
The limitation is that this remains observational. The study identifies which proteins are altered by each APOE variant, but it doesn't prove which changes are causal drivers of disease versus compensatory responses. Testing causality requires experimental manipulation in model systems or genetic validation studies.
Still, the dataset provides the clearest evidence yet that APOE2 and APOE4 don't just have opposite effects on disease risk, they operate through entirely different molecular mechanisms. Understanding those mechanisms is the foundation for developing allele-specific interventions.
Right now, we know that genetic Alzheimer's risk is written in protein signatures detectable decades before symptoms, and those signatures differ completely between protective and harmful APOE variants. Whether those signatures can be therapeutically modified is the next question.
"Usually, absence of evidence of a clock means that no one has looked"
For decades, a grisly mystery has buzzed around one fly-killing fungi: No matter when the fungus infects a fly, it always dies at sunset. Now scientists have discovered why. sciencenews.org/article/fly-…
Maria Konovalenko retweeted
As longevity biotech investment accelerates, researchers published a consensus paper in npj Aging addressing a quieter but critical problem: there's still no standardized way for longevity biotechnology companies to collect and report aging biomarker data in clinical trials.
Without that consistency, results from different companies' early-phase trials can't be meaningfully compared or validated against each other.
The authors, working with the Biomarkers of Aging Consortium, lay out specific recommendations for what phase I and II trials should collect, aiming to build toward a validated, interoperable set of aging biomarkers that could eventually support regulatory approval as surrogate endpoints.
It's the unglamorous infrastructure work that has to happen before the field's bigger promises can be properly tested.
Source: doi.org/10.1038/s41514-025-0…
#GeroScience #AgingBiomarkers #AgingResearch #LongevityBiotech
Have back pain or nerve compression? This paper is for you.
Researchers at Weill Cornell and the Hospital for Special Surgery found the single "master" stem cell behind every tendon and ligament in your body — and discovered it goes into overdrive in a common cause of back pain and leg nerve compression called spinal stenosis. Blocking a specific signal calmed the overgrowth down in mice, pointing to existing blood pressure drugs as a possible treatment.
cell.com/cell/abstract/S0092…
The team identified a previously unknown universal tendon/ligament stem cell and found it's present in elevated numbers in ligament tissue from spinal stenosis patients (vs. non-stenosis controls, surgical samples). Transplanted stenosis-patient-derived cells produced excess tendon-cell output in mice. The driver: abnormally elevated calcium signaling in these cells — genetically boosting calcium signaling triggered the same excess ligament growth, and dampening it blocked the overgrowth. Since calcium channel blockers are already FDA-approved for hypertension, the authors flag them as a plausible repurposing candidate for clinical testing.

















