Relationships Between Socioeconomic Status, Life Expectancy, and Epigenetic Age

As yet the life sciences have provided no way to definitively, robustly measure biological age in an individual. In part this stems from a lack of consensus as to a useful definition of biological age, or indeed of aging more broadly. Researchers have long agreed upon sensible definitions at the high level, such as that aging is an increase with time in the risk of mortality due to intrinsic causes. That definition is validated, measurable over populations, but helps little when it comes to assessing the mortality risk or age of any given individual. At the low level, there are many specific forms of damage and dysfunction that can be measured, albeit not always without invasive sampling. Burden of senescent cells, loss of mitochondrial function, reduced average telomere length, slowed pace of cell replication, reduced grip strength, changes in a thousand biomarkers relating to immune function, and so forth. We have the general sense of trends, but again one cannot use these measures to say definite things about biological age and mortality risk for any given individual.

We live in a world in which measurements and algorithmic combinations of measurements that reflect aging in populations are proliferating alongside the interest in treating aging as a medical condition. This is particularly true for the aging clocks, such as epigenetic clocks, derived from machine learning techniques applied to large bodies of biological data. A slow, incremental ongoing process is underway to find out whether this landscape forms a suitable foundation for the discovery and development of a true consensus measure of biological age that can be applied usefully to individuals. At present that largely involves assessing as many people as possible using as many different measurement approaches as possible, and searching for patterns in the data. Data informs the way in which researchers think about definitions of aging, which inspires new approaches to measurement of biological age, and use of those approaches produces new data. It is a circular road.

Today's open access paper is a snapshot of part this ongoing dialog between theory and data. It is well known that socioeconomic status correlates with life expectancy across populations. Does this mean that low socioeconomic status produces accelerated aging? By what mechanisms, and how does the relative importance of these mechanisms inform our definitions of aging? Looking at epigenetic clock data derived from study populations with different socioeconomic circumstances doesn't answer these questions, but having that data is one step further towards a future in which those answers do exist.

The mediating role of DNA methylation clocks in associations of race, ethnicity, education, income, and occupation with mortality: findings from NHANES 1999-2002

For most documented contexts and time periods, there is a strong association between lower socioeconomic position and risk of higher mortality. The theory of social stratification posits that social stratification caused by a combination of factors, particularly race, ethnicity, and socioeconomic position, would influence health outcomes through differential access to resources, power, and opportunities. These adverse effects even can undermine the beneficial effects from other social exposures such as social cohesion and social resistance. These health disparities are reflected in key social stratification factors such as race and ethnicity, educational attainment, income, and occupation. Studies report notable differences in life expectancy across these dimensions. For instance, according to recent estimates, White Americans who reach age 15 have a life expectancy of 63 years, compared to 59 years for Black Americans and 66 years for Hispanic Americans. Likewise, individuals with an income at or above 400% of the poverty threshold have a life expectancy of 60 years at age 18, while those living below the poverty line have just 49 years. Similar disparities are also observed across different education levels and occupational groups

Aiming to systematically examine the mediating role of DNA methylation clocks in the associations between race, ethnicity, education, income, and occupation and mortality, this study uses nationally representative data to demonstrate that DNA methylation clocks, particularly GrimAge2 and DunedinPoAm, mediate a substantial proportion of racial/ethnic and socioeconomic disparities in mortality. GrimAge2 exhibited significant mediation on all-cause mortality disparities, accounting for 21% of the difference between participants with a high school diploma or GED and those with a college degree or higher, up to 52% of the difference between individuals in high-skilled blue-collar occupations and those in white-collar and professional positions. Similarly, the DunedinPoAm pace of aging mediated 11% of the mortality disparity between high school graduates and individuals with a college degree or above, and 28% of the disparity between Hispanic and White participants. Notably, these mediation results, particularly for GrimAge2, were greater than those observed for traditional clinical biomarkers. These findings suggest that DNA methylation clocks and biomarkers could serve as valuable tools for future research investigating the mechanisms underlying health disparities.

Naked Mole Rats Exhibit a Consistently Low Resting Metabolic Rate with Aging

Across mammalian species, resting metabolic rate roughly inversely correlates with species life span and body weight. Larger species are on average longer lived and have lower metabolic rates. There are, of course, a number of interesting outliers that exhibit very long lives relative to similarly sized mammalian species, such as a few bat species and the naked mole-rats that are the subject of this paper. The prevalent thinking on the matter of metabolic rate and longevity is that this relationship says something about the amount of oxidative damage an individual's cells can sustain, or the capacity of those cells to resist that form of damage. Greater metabolic rate implies greater generation of oxidative molecules by mitochondria. The membrane pacemaker hypothesis on species life span suggests that the degree to which the lipid composition of cell membranes can resist oxidative damage is important. There is a great deal of complexity under the hood here, however, and every neat and compact theory on important mechanisms in this matter has its exceptions and outlier species.

This study offers a detailed analysis of resting metabolic rate (RMR) in naked mole-rats, incorporating individual, social, and colony-level factors to clarify how energy expenditure is organised within a eusocial mammal. Body mass consistently emerged as the primary predictor of RMR, aligning with the well-established allometric scaling of metabolic rate across mammals. This follows widely accepted convention that body mass explains the majority of variation in mammalian metabolic rates.

Notably the absolute RMR values recorded here are substantially lower than those predicted for mammals of similar size, further supporting the characterisation of naked mole-rats as possessing an unusually low metabolic profile. Predicted RMR values from 10 different studies and their associated approaches show a range of RMRs from 51.6 ml O2/hr to 71.1 ml O2/hr, compared to an average RMR of 45.5 ml O2/hr in the present study. This metabolic depression is commonly viewed as an adaptation to their subterranean environment, where relatively stable burrow temperatures lessen thermoregulatory demands, and energetic efficiency is advantageous given the high energetic and water costs of excavation alongside constrained resource availability. Within this ecological framework, reducing maintenance energy expenditure is likely to contribute both to colony stability and to the species' exceptional longevity.

Age did not significantly predict RMR once body mass was accounted for. The absence of an age effect is particularly notable given the exceptional lifespan of naked mole-rats. In many mammals, aging is accompanied by measurable shifts in metabolic maintenance; here, basal metabolism appears remarkably stable across age classes. This stability is consistent with the species' negligible senescence phenotype and suggests that aging does not impose detectable energetic costs at the level of resting metabolism.

Link: https://doi.org/10.1242/bio.062586

Thrombospondin-1 Secreted by Senescent Cells Impairs Bone Regeneration

Thrombospondin-1 is a component of the senescence-associated secretory phenotype (SASP) produced by senescent cells. It has been shown in the past to induce blood-brain barrier dysfunction, but here researchers show that it also degrades mitochondrial function in macrophages, biasing those cells into the inflammatory M1 state. This in turn contributes to chronic inflammation and dysfunctional bone regeneration. The accumulation of senescent cells with age is known to be an important aspect of degenerative aging, and the SASP is known to change bystander cell behavior for the worse. There are likely countless mechanisms of this nature taking place in the aging body, all of which could be suppressed via reduction of the burden of senescent cells.

The aging bone marrow microenvironment is characterized by chronic low-grade inflammation ("inflammaging"), which disrupts skeletal homeostasis and impairs bone regeneration. However, the stromal-immune crosstalk mechanisms sustaining this pathological state remain poorly defined. Here, transcriptomic analysis identified thrombospondin-1 (Thbs1) as a key upregulated component of the senescence-associated secretory phenotype (SASP) in aged bone mesenchymal stromal cells (BMSCs).

We demonstrate that BMSC-derived Thbs1 drives pro-inflammatory M1 macrophage polarization by suppressing PINK1/Parkin-mediated mitophagy. Mechanistically, Thbs1 binds to the TGF-β type II receptor (Tgfbr2) on macrophages to activate Smad3 signaling, which transcriptionally represses the mitophagy regulator Pink1. This repression leads to mitochondrial superoxide accumulation and redox imbalance, thereby skewing macrophages toward an M1-like phenotype.

These Thbs1-activated M1 macrophages, in turn, secrete IL-6, which activates the JAK/STAT3 pathway in BMSCs to inhibit osteogenic differentiation. Crucially, activated Stat3 directly binds the Thbs1 promoter, establishing a self-amplifying loop that perpetuates inflammaging and osteogenic decline. In vivo, AAV9-mediated Thbs1 knockdown in aged rat bone defects restored mitochondrial homeostasis, promoted an M2 macrophage transition, and significantly enhanced bone repair.

In summary, our study reveals a vicious cycle involving the Thbs1/TGF-β/Smad3/PINK1-IL-6/JAK/STAT3 axis that sustains inflammaging and osteogenic decline, highlighting Thbs1 as a promising therapeutic target for age-related bone regeneration.

Link: https://doi.org/10.1111/acel.70575

The Bidirectional Relationship Between the Burden of Cellular Senescence and Immune Aging

A cell becomes senescent given sufficient stress, molecular damage, or on reaching the Hayflick limit on replication. A senescent cell ceases replication, grows in size, and secretes a potent mix of pro-growth, pro-inflammatory signals. In a young individual, senescent cells are rapidly removed by the immune system, but this clearance slows with age. Senescent cells accumulate as a result in tissues throughout the aging body. The greater the number of senescent cells, the more disruptive their signaling becomes, changing the behavior of surrounding cells for the worse, degrading tissue structure, and rousing the immune system into a harmful state of constant inflammatory behavior. Studies have shown that selective clearance of senescent cells in older mice improves health, extends life, and turns back many aspects of age-related disease.

Today's open access paper reviews what is know of the bidirectional relationship between the burden of cellular senescence and state of the aging immune system. Senescent cells degrade the performance of the immune system, while the aging of the immune system allows greater numbers of senescent cells to accumulate. Like many of the interacting aspects of aging, each side exacerbates the other in a feedback loop that accelerates over time. Under the hood, the details are far more complex than this simple summary of the situation, of course, and there much is yet to be mapped and understood. Still, what is known more than justifies a far greater level of attention and funding to be given to clinical trials of senolytic therapies to clear senescent cells.

Immunological consequences of senescence in physiology and pathology

Cellular senescence is a sublethal stress response characterized by a durable cell-cycle arrest and the acquisition of a complex secretory program known as the senescence-associated secretory phenotype (SASP), which can profoundly influence local and systemic immunity. In physiological contexts - including embryonic development, tissue repair, and acute tumour suppression - senescent cells coordinate the recruitment and activation of immune cells, enabling their timely immune-mediated clearance and facilitating tissue remodelling and restoration of homeostasis. However, during aging and chronic disease, immune surveillance mechanisms frequently become compromised, allowing senescent cells to accumulate and persist within tissues.

The persistence of senescent cells results in sustained SASP signalling that promotes chronic inflammation, immune dysfunction, and tissue remodelling processes linked to fibrosis, metabolic impairment, tumour progression, and defective tissue repair. In parallel, increasing evidence indicates that immune cells themselves can acquire senescent or senescence-like states, thereby weakening immunosurveillance and generating self-reinforcing feedback loops that further amplify senescent cell accumulation and tissue dysfunction.

The relationship between senescent cells and the immune system is reciprocal. Immune surveillance governs whether the senescence response is resolved or persists, yet immune cells themselves can adopt senescence-associated features that remodel tissue environments and propagate senescence systemically. Age-related decline or dysfunction within immune compartments can amplify inflammatory signalling, shift immune tolerance and generate niches that favour senescent-cell persistence, establishing feedback loops between immune aging and cellular senescence. Together, these observations position senescence not as an isolated cell-intrinsic programme but as a process shaped by continuous dialogue with the immune system. The strength of this senescence-immune crosstalk is shifting the therapeutic paradigm from classical senolytics toward immuno-senolytic strategies aimed at reactivating endogenous immune surveillance or deploying engineered immune cells to selectively eliminate senescent populations.

A Liver Aging Clock Predicts All Cause Mortality

Machine learning approaches can be used to create aging clocks from near any set of biological data collected from people of various ages. The techniques are well established and many new clocks are published every year. A clock is really an age predictor (or a mortality predictor, or a predictor of some other outcome) trained on a single dataset. When the clock algorithm is applied to any given individual not in that data set, it is thought that the predicted age or mortality risk or other outcome is some reflection of biological age. It is hard to validate this proposition, as there is very little concrete connection between any easily measured biomarker and mechanisms of aging, and indeed all too little consensus on how to measure biological age in the first place. To my eyes more effort should go towards understanding the clocks we have and less to producing new clocks.

Biological aging is a key determinant of liver disease and mortality, but there is little evidence on noninvasive index for assessment of liver biological aging. We developed the Liver Aging Index (LAI) in the China Kadoorie Biobank (CKB, N = 21,629) using Cox-Gompertz proportional hazards model. The LAI incorporated three clinical factors (body mass index, systolic and diastolic blood pressure), eight plasma biomarkers (glucose, total cholesterol, triglycerides, high-density and low-density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, and γ-glutamyl transpeptidase), and two imaging biomarkers (fat attenuation parameter and liver stiffness measurement).

External validation was conducted in the National Health and Nutrition Examination Survey (NHANES; N = 3412) and the VCTE-Prognosis cohort (N = 12,170, 16 global centers). Across all cohorts, the LAI demonstrated strong discrimination for all-cause mortality (area under the receiver operating characteristic curve: 0.764 in NHANES; 0.759 in VCTE-Prognosis), outperforming chronological age. Liver aging acceleration (LAA), defined as the difference between LAI and chronological age, was associated with substantially elevated risks: each 1 standard deviation increase in LAA conferred a 22%-85% higher risk of all-cause mortality and a 34%-170% higher risk of liver-related event or mortality.

Using genetic instruments identified in CKB, we found genetic predisposition to accelerated liver aging was associated with higher risks of cirrhosis and liver cancer (hazard ratios = 3.94 and 7.82), further validated in Biobank Japan. Integrating genetics and proteomics revealed novel pathophysiological involvement of amyloid-beta clearance pathway and amyloid precursor protein in liver aging. These findings demonstrate the feasibility of a noninvasive, liver-specific biological aging index and provide new insights into mechanisms underlying liver aging.

Link: https://doi.org/10.1111/acel.70565

Quantifying the Effects of Lifestyle Choices Impacting Cardiovascular Health on Mortality

The public health side of the cardiovascular community has undertaken a range of messaging programs for physicians and the public at large over the years, attempting to convince more people to make the lifestyle choices that will reduce cardiovascular mortality in later life. Life's Essential 8 is a more recent example of this sort of messaging, a fairly simplistic packaging of what are known to be the largest lifestyle risk factors for cardiovascular disease, starting with diet and exercise and moving on to avoidance of self-sabotage via smoking and excess weight. The study noted here pays particular attention to the effects of lifestyle on mortality in centenarians, finding that effect sizes are relatively large in this age group. Maintenance of fitness and lifestyle doesn't stop producing benefits, in other words.

While Life's Essential 8 (LE8) provides a comprehensive measure of cardiovascular health (CVH), its association with mortality among the oldest-old, including centenarians, remains unclear. This study evaluated the relationship between LE8-defined CVH and all-cause mortality across adulthood using data from the China Kadoorie Biobank (Hainan cohort) and the China Hainan Centenarian Cohort Study, including 31,473 individuals aged 30-116. Participants were categorized by life stage and CVH score (low, moderate, high).

Higher CVH scores were associated with significantly reduced mortality risk at all life stages, including among centenarians, who experienced a 54.8% lower risk with high CVH. A near-linear dose-response relationship was observed. Population-attributable fractions for mortality reached 36.8% in centenarians. Physical activity and body mass were particularly important in reducing mortality among centenarians. These findings challenge therapeutic nihilism in the oldest-old while underscoring the need for age-specific strategies tailored to distinct physiological profiles is crucial for extending healthy lifespan across the adult life course.

Link: https://doi.org/10.1038/s41514-026-00395-5

Using Macrophages to Clear Circulating MMP9 Improves Bone Tissue in Aging Mice

Today's open access paper combines a few interesting topics. Firstly, the researchers involved describe a way to deliver a short-lived messenger RNA gene therapy selectively to the innate immune cells known as macrophages. Macrophages are normally responsible for engulfing all sorts of unwanted structures in the cell, and many of the specific features that induce that behavior have been identified. Encapsulating messenger RNA into lipid nanoparticles that mimic some of the surface features of cells undergoing programmed cell death results in aggressive uptake by macrophages. Macrophages arguably make a good target for gene therapies in which the goal is to manufacture a secreted molecule of some sort, such as an antibody, and have it fairly widely and evenly distributed throughout the body. For many secreted molecules, this is quite unnecessary; injecting a single subcutaneous fat depot with a small amount of a non-targeted vector can and does work. Distribution in the body is enough of a challenge in gene therapy for any and all alternatives to be welcomed, however.

The application of this novel approach to messenger RNA therapy is in this case a reduction of circulating MMP9. The secreted molecule generated by the targeted macrophages is an anti-MMP9 antibody, directly binding to and allowing clearance of MMP9. Increased circulating MMP9 is characteristic of aging, and here researchers demonstrate that it is the cause of further issues by clearing it and observing benefits. Targeted depletion of MMP9 from circulation achieved via this antibody manufacturing approach improved the function and structure of bone and cartilage tissue in treated mice. It is of course a long road from preclinical proof of concept to therapy in the clinic, and many such demonstrations are never further developed. One might hope that this will at least attract more attention to the production of novel drugs that can much more effectively and selectively reduce circulating MMP9 than is the case for present small molecule drugs known to affect MMP9 levels.

In vivo circRNA-engineered macrophages mediate localized MMP9 neutralization to rejuvenate aged bone

Age-related bone disorders (e.g., osteoporosis, impaired fracture healing, and osteoarthritis) rank among the most common and debilitating complications in elderly populations. However, current treatment strategies are predominantly palliative, focusing on symptom management rather than addressing the underlying causes or halting disease progression. Growing evidence suggests that these disorders share a common pathophysiological foundation, driven by chronic low-grade inflammation, cellular senescence, and dysregulated tissue remodeling.

Through transcriptomic analysis of serum and bone samples from elderly human individuals, we identified matrix metalloproteinase-9 (MMP9) as a potential central and consistently upregulated effector in age-related bone dysfunction. MMP9 is well-known for its role in extracellular matrix degradation, but its persistent elevation in aged individuals and osteoporotic bone suggests a broader pathological role in skeletal aging. Despite this, its mechanistic contribution to age-related bone loss and its potential as a therapeutic target remain unexplored.

Effective clearance of MMP9 in the blood and bone microenvironment as a therapeutic target could be a highly efficient strategy for treating degenerative bone diseases. Clearly, the introduction of neutralizing antibodies is the most direct approach. However, neutralizing antibodies have limitations in terms of safety and cost-effectiveness and lack effective bone-targeting capabilities. In recent years, mRNA-based protein replacement strategies have brought revolutionary breakthroughs to the field. While mRNA-based therapeutics have revolutionized vaccinology and oncology, their clinical application in age-related degenerative diseases, particularly within orthopedic settings remains elusive.

Here, we developed an in vivo messenger RNA based antibody-engineering strategy that specifically targets macrophages, converting them into biofactories for anti-MMP9 antibodies. Central to this therapy is an apoptosis-mimicking lipid nanoparticle incorporating phosphatidylserine with an optimized formulation (aMMP9-LNP), which enhances macrophage-specific recognition and endocytosis. Leveraging inflammation-guided chemotaxis, this approach enables systemic, targeted MMP9 neutralization. In aged mice, aMMP9-LNP injected intravenously reduced stem cell senescence, boosted osteogenesis, accelerated fracture repair, and mitigated cartilage degeneration. Mechanistically, MMP9 blockade dampened the senescence-associated secretory phenotype, restored osteoblast-osteoclast balance, and lowered p21/MMP3. Biodistribution confirmed bone-targeted delivery with preserved tissue homeostasis, supporting translational potential.

GLP-1 Receptor Agonists Slow Epigenetic Aging, a Measure of the Harms Done by Excess Visceral Fat

Weight loss drugs are a major focus of the pharmaceutical industry at present. It remains to be seen as to what will emerge as the next big class of weight loss drugs following GLP-1 receptor agonists. Since the primary effect of GLP-1 receptor agonist drugs is a reduction in calorie intake, all of the gathered data in humans is really just a sizable confirmation of the harms done by the presence of excess visceral fat tissue, and the benefits gained from losing that fat via dieting. It wouldn't much matter how these patients achieved that outcome, the resulting benefits would look much the same - and have in the past as a result of other strategies for weight loss.

Researchers analyzed data from a previously published clinical trial of 108 adults with HIV-associated lipohypertrophy, a condition in which excess fat builds up around the abdomen. About half of the participants received weekly injections of semaglutide, with the rest receiving placebo injections. The team used a set of biological "epigenetic clocks" to track cellular aging over the 32-week treatment period. These clocks detect DNA methylation, chemical marks on DNA that help regulate how genes are turned on or off without changing the genetic sequence itself. By measuring changes in these marks, the team could assess whether the treatment was associated with a slower or faster biological aging pattern.

Participants treated with semaglutide exhibited a broad pattern of slower biological aging across epigenetic clocks linked to inflammation and blood, brain, heart, kidney, liver and metabolic health. The drug slowed the pace of biological aging by 9%, as measured by the DunedinPACE epigenetic clock. The drug significantly slowed biological processes associated with the risk of all-cause mortality and age-related disease, as measured by the PCGrimAge epigenetic clock. Research suggests there are several mechanisms by which semaglutide may influence biological aging. By reducing inflammation and metabolic stress, GLP-1 drugs decreased chronic immune activation, a primary driver of accelerated aging in people with HIV. They also reduce visceral and ectopic fat that accumulates around the abdomen and organs, which may help curb the inflammatory and metabolic signals that promote aging.

Link: https://today.ucsd.edu/story/study-popular-glp-1-drug-may-slow-down-biological-aging

GRK2 Aggregation as a Cause of Mitochondrial Dysfunction in Alzheimer's Disease

Here researchers report on a novel form of pathological protein aggregation in the aging brain and evidence for it to contribute to mitochondrial dysfunction in Alzheimer's disease. This phosphorylated GRK2 aggregation is argued to be a downstream effect of the other well-known forms of protein aggregation in the condition, those involving amyloid-β and tau, though that remains to be definitively proven. Certainly, given the inability of clearance of amyloid-β to produce sizable effects on the progression Alzheimer's disease, one might imagine other mechanisms are more involved in triggering GRK2 aggregation. Regardless, reducing GRK2 aggregation improves function in mouse models of Alzheimer's disease, suggesting some value in targeting this process.

The G-protein-coupled receptor kinase 2 (GRK2) exerts essential functions in cell growth and survival. Searching for a connection between GRK2 and the neurodegenerative Alzheimer disease (AD), we find increased aggregated serine-670-phosphorylated GRK2 (phospho-S670-GRK2) in brains of AD mice and patients with dementia likely due to AD. Harmful phospho-S670-GRK2 aggregation is induced by two hallmark proteins of AD: beta-amyloid and the neurofibrillary-tangle-inducing, TAU-P301L.

Aggregated phospho-S670-GRK2 triggers aggregation of TOMM6 (translocase of outer mitochondrial membrane 6), promotes mitochondrial dysfunction, and enhances beta-amyloid. Transgenic expression of inactive GRK2-K220R or a GRK-inhibitory peptide proves that neuropathological features are caused by GRK2 inactivation. Restoration of TOMM6 by neuron-specific TOMM6 expression reduces beta-amyloid plaques but enhances soluble beta-amyloid and increases mortality. In contrast, reconstitution of monomeric GRK2 and proteasomal phospho-S670-GRK2 degradation by small molecules counteracts neuropathological AD features, prevents neuronal loss, and improves survival. Thus, targeting of pathological GRK2 aggregation slows aging-induced neurodegeneration.

Link: https://doi.org/10.1016/j.xcrm.2026.102707

A Great Deal More Funding for the Development of Partial Reprogramming Therapies

The medical biotechnology and pharmaceutical investment market was always very risk averse, giving rise to the valley of death between preclinical seed funding and early clinical stage funding; there are all too few investors willing to fund companies to move from late preclinical stage to early clinical stage. They would rather let promising companies die out and pick from the few that somehow find funds to run a first clinical trial in human patients than take the risk on a preclinical program. Further, investment is a herd industry, it polarizes to a few hot areas, fads, and sure things. In the recent years of various flavors of poor market environment for biotechnology and pharmaceutical drug development it seems that these tendencies have grown more exaggerated. A sizable fraction of all biotech investment pours into a small number of cellular reprogramming initiatives, a hot area of research and development, while investors have largely retreated from preclinical funding more generally. It will be interesting to see how long this lasts, as it is clearly unsustainable for every initiative in the field other than reprogramming.

This year alone has seen sizable funding devoted to Retro Bio and NewLimit for reprogramming efforts, though in fairness Retro Bio does have a number of other programs on the go. Life Biosciences raised a relatively smaller but still sizable amount in the grand scheme of things for their clinical trials in reprogramming. Couple all of this to the even greater funding still possessed by Altos Labs, and it seems fair to say that partial epigenetic reprogramming is the one area of aging-related biotechnology that needs no further assistance from patient advocates and other folk. Over the next decade or so we should expect the development community to establish answers to all of the fundamental questions regarding the construction of viable therapies based on reprogramming.

It remains strange to me that partial reprogramming captured the market and the interest in this way rather than senolytic therapies to clear senescent cells, given that senolytics were first on the scene by some years, and senolytic research continues to boast a far larger and more impressive portfolio of animal data for reversal of age-related disease and dysfunction. There is no accounting for how things turn out sometimes. Once enough funding flocks to a cause, there is a tipping point, and its popularity becomes a self-fulfilling prophecy. The funding carves a channel for more funding.

No limits: NewLimit lands $435m ahead of human trials

NewLimit believes it has found a way to help older liver cells behave more like younger ones. That idea sits within a growing area of longevity science known as epigenetic reprogramming. The company has raised $435 million in a Series C financing round led by Founders Fund, with participation from Thrive Capital, Greenoaks, Quiet Capital and existing investors including Kleiner Perkins, Eli Lilly Ventures and Human Capital. More notably, the company says it plans to bring its first age-reprogramming medicine into human clinical trials next year - a milestone it once thought was more than a decade away. Just a year ago, NewLimit closed a $130 million funding round and was still talking about the long road toward a clinic-ready therapy. Then something changed. According to NewLimit, a promising candidate emerged from the company's research platform far sooner than expected, prompting the company to accelerate its plans.

Retro Biosciences: Next Phase

Today, we're announcing the initial close of our next financing round at a pre-money valuation of $1.8 billion, led by 4P Capital alongside a group of investors who believe Retro is uniquely positioned to translate the biology of aging into a new generation of medicines. In three years, Retro moved from its first lab to a clinical candidate. In 15 months, that candidate RTR242 went from indication selection to first-in-human dosing. Alongside that progress, we've built cell therapy, tissue reprogramming, and AI-enabled protein engineering programs, all designed to support a growing pipeline of therapeutics targeting the underlying drivers of aging and age-related disease.

Senescent Cells Drive Increased Risk of Thrombosis In Unstable Atherosclerotic Plaques

Everyone develops atherosclerotic plaque that narrows and weakens blood vessel walls in later life. A sizable fraction of all human mortality derives from the consequences of that plaque, such as rupture of unstable plaque to cause a stroke or heart attack. The maladaptive formation of blood clots within or attached to the plaque structure greatly reduces the stability of these structures, and is an important contribution to mortality. Here, researchers show that cells driven into a senescent state by the toxic plaque environment generate the circumstances that provoke inappropriate clot formation in and around an atherosclerotic plaque. Of note, other work has suggested that those same senescent cells may be structurally important to a plaque, and removing them may also cause loss of plaque stability. After a certain point, it becomes hard to resolve the issues a plaque presents. Here, as elsewhere in medicine, prevention is far more desirable than resolution.

Researchers have discovered a molecular pathway that drives certain stressed or aging cells to become abnormally active, causing inflammation inside blood vessel plaques. This results in disturbed blood flow and high-risk lesions that can lead to blood clots that cause heart attacks or strokes. The researchers studied senescent cells, which are stressed or aging cells that have stopped dividing but don't die. They discovered that losing key regulatory proteins, LATS1 and LATS2, in these cells activates the CD38 enzyme, which reprograms how these cells use energy and makes them more unstable. This leads to inflammation and an increased risk of blood clot formation inside plaques, a process known as atherothrombosis.

The researchers used advanced molecular profiling on preclinical models to show how endothelial cells - the cells lining blood vessels - change with the loss of LATS1/2 proteins, which usually help with healthy cell stabilization. Removing LATS1/2 in endothelial cells caused them to become senescent but also abnormally active. This led to instability, leaky vessels, inflammation, abnormal vessel growth and plaques that could form clots, all of which are pro-thrombotic features.

Further analyses showed that these senescent cells had a dramatic increase in CD38 levels, highlighting their potential role as key drivers of this hybrid state. Preclinical models demonstrated that overexpressing CD38 rewired the metabolic pathways and energy sources for endothelial cells, leading them to consume enough additional energy to drive inflammation. This destabilized plaques and led to the formation of blood clots. Inhibiting CD38 reversed these effects both in vitro and in vivo.

Link: https://www.mdanderson.org/newsroom/research-newsroom/researchers-uncover-how-aging-cells-may-trigger-heart-attacks-and-strokes.h00-159856134.html

Distinct Microglia States Associated with Alzheimer's Disease

Microglia are innate immune cells resident in the brain, responsible for defense against pathogens, destruction of senescent and potentially cancerous cells, and assistance with regeneration and tissue maintenance. In recent years, increasing attention has been given to changes in the behavior of microglia, particularly increased inflammatory signaling, as a contributing cause of age-related neurodegenerative conditions. Here, researchers make use of modern omics technologies to assess distinct states in subpopulations of microglia that associate with the presence or absence of Alzheimer's disease in older individuals. This sort of research sets the stage for later efforts to alter the behavior of microglia in order to improve brain function, such as via clearance of damaged or inflammatory microglia, or forcing overly inflammatory microglia into a more regenerative pattern of behaviors.

Alzheimer's disease (AD) is not an inevitable outcome of pathology but a dynamic process shaped by how brain cells respond to amyloid-β (Aβ) and tau. To disentangle these responses, we combined spatial transcriptomics and single-nucleus RNA sequencing of the superior frontal cortex from octogenarians living with or without dementia and from cognitively intact centenarians with comparable Aβ accumulation. We identified six distinct tissue domains representing a spatial pathological continuum of AD, with a key inflection point marked by a shift from Aβ-associated inflammatory changes to tau-associated cellular programs.

This transition was accompanied by a change in microglial states, from early inflammatory to late antigen-presenting phenotypes, termed early and late plaque-induced gene (PIG) programs. Resilient individuals showed distinct pathological patterns: octogenarians without dementia lacked late PIGs, whereas centenarians showed late PIG activation that was uncoupled from tau accumulation. Together, these findings highlight divergent resilience-associated mechanisms in human aging and position microglial state transitions at the Aβ-tau interface as candidate points of resilience with potential therapeutic relevance.

Link: https://doi.org/10.1038/s41591-026-04393-8

The Broad Prevalence of Bad Epidemiological Data for Exceptional Human Life Expectancy

In recent years, greater attention has been given to efforts that push back against the present broad acceptance of established data on human life expectancy, particularly for the oldest surviving cohorts. It has been suggested, and the evidence for this assertion is broadly supportive, that the published data for exceptional longevity is largely of poor quality, and much of what has been hyped over the years (such as Blue Zones or Jeanne Calment's alleged life span of 122 years) is simply not real.

What is observed in the data is a selection effect for error, fraud, and outright falsehood that grows stronger at advancing ages. We should be quite confident that a small number of humans can survive into their 110s, as individual cases have been well vetted, but we should be much less confident about the accuracy of demographics of survival much past age 90.

Does any of this really matter? From the perspective of building therapies to treat aging, I think probably not. It doesn't affect the need for better ways to measure biological age than exist at present, and it doesn't change the list of programs and targets that should be undertaken to produce potential rejuvenation therapies. People do get somewhat up in arms about the demographics of aging, but it seems a tempest in a teacup to me, somewhat irrelevant to the real issue of making progress in the treatment of aging as a medical condition. Other people may see it differently, of course.

How long can humans live? We simply don't know

Many errors are undetectable and, therefore, we do not know their underlying frequency. This has prompted a rather absurd response from demographers, who say that, sure, some errors occasionally escape detection, but these errors must be rare. I usually ask them: if you cannot detect particular errors, how do you know that they are rare? The core problem is that age relies on one measurement system: paperwork. If a person's paperwork is consistent but wrong, there is no reproducible way of knowing. You often see a famous case discussed, the details exhaustively validated and all of the paperwork examined. But after decades, the case turns out to be false. It has passed every test that demography has, and it is still wrong.

I did not just observe this in individual cases. I found it in entire populations. In Greece, for example, at least 72% of centenarian records were cases of pension fraud. The person was left alive on paper while their younger relatives collected the pension cheques. That was the secret to longevity in Greece, and nobody in demography saw it for decades.

There are several overlapping error processes. Pension fraud is one. Clerical error is another, and that can be undetectable. People who have paperwork with incorrect details often do not know, because literacy rates a century ago were low. Some people purposefully increase their age to escape military service, others to marry or work earlier when they are young, and some just inherited paperwork from older relatives because it was easier than travelling or paying to register a new birth. Then there are identity substitutions. Imagine a room with 100 people over 100, all holding valid paperwork. Replace one of them with a younger sibling. How do you detect the swap? The paperwork is real. The person knows enough about their sibling to answer questions.

Even if you understand the social and administrative context, there is still no reproducible method to test whether the age on a person's paperwork is correct. That is the central issue. There are also broader patterns. Extreme longevity often appears in places with weak record systems, low incomes and low historical levels of birth certification. That pattern runs against expectations if the signal were biological.

The mathematical process for small errors to dominate at very old ages is counter-intuitive but simple. Normally, rare errors can be ignored. But in this case, they grow non-linearly. Take a large population at age 50. Introduce a small number of people whose true age is younger than this recorded age. These individuals are biologically younger than the rest, so they die at lower rates as the cohort ages. Each year, the proportion of people with an error in their records increases because people with an inflated age are more likely to survive than are people with accurate data. Even with tiny starting error rates, you can end up with a population that has a 100% rate of errors at very old ages.

This is a universal problem. Five to ten per cent of people in the United States misstate their age in the census. Often, they simply do not know. Nearly one-quarter of the world's children still do not receive a birth certificate. Add that to the slow historical roll-out of birth registration and you get widespread uncertainty. There has been a 40-year debate about whether there is a limit to human lifespan. Both sides seem to be wrong, and the data seem to be junk. Demographers have been drawing shaky inferences from bad data for decades.

IFNAR1 in Mitochondrial Dysfunction in Parkinson's Disease

Mitochondrial function is clearly important in the development of Parkinson's disease. The mutations associated with increased risk of Parkinson's are related to mitochondrial quality control and function. Greater mitochondrial dysfunction makes the dopaminergic neurons most vulnerable to Parkinson's pathology that much more vulnerable, though it is an open question as to whether this is more a matter of disrupted energy metabolism or increased inflammatory signaling, both of which result from the presence of failing mitochondria in cells. Here, researchers report that expression of IFNAR1 is reduced in Parkinson's disease. That reduced IFNAR1 expression causes mitochondrial dysfunction via impairment of the quality control mechanisms of mitophagy, the same sort of issue as accelerates Parkinson's in genetic cases. Establishing whether or not this discovery may lead to a viable therapy to delay onset and progression of Parkinson's disease via increased IFNAR1 expression will require further research and development.

Dysregulated interferon-alpha/beta-receptor 1 (IFNAR1) signaling was recently identified to contribute to the development of sporadic Parkinson's disease (PD) into PD with Dementia (PDD). The molecular, cellular, and phenotypic impacts of brain IFNAR1 loss in aging have not been explored in vivo, which may reveal novel disease mechanisms and therapeutic targets. Baseline IFNAR1 expression varies among major brain cell types, including neurons and astrocytes, and is differentially affected in PD and Lewy Body Dementia patients compared to unaffected controls.

Neuron- and astrocyte-specific transcriptomic and proteomic alterations in IFNAR1 knockout mice implicate mitochondrial defects, defective mitophagy, and synergistic dysfunctional neurotransmission upon IFNAR1 loss, leading to glucose hypermetabolism measured by functional metabolic analysis. Consequently, IFNAR1 knockout mice exhibited PDD-like pathogenesis, including dopaminergic cell loss in the substantia nigra, cortical neurodegeneration, Lewy-body-like inclusions, neuroinflammation, and progressive PDD-like behavior deficits. Brain cell-specific IFNAR1 loss examined in vivo revealed delayed but distinct development of PDD-like phenotypes, where neuropathology, motor, and cognitive behavior deficits were recapitulated only in mice lacking neuronal IFNAR1, and behavior resembling neuropsychiatric abnormalities recapitulated only in mice lacking astrocytic IFNAR1.

Link: https://doi.org/10.1186/s12929-026-01257-8

Dividing Current Efforts to Treat Aging Between Two Camps: Senescent Cells and Metabolic Manipulation

It seems perhaps overly reductionist to summarize the panoply of current efforts to treat aging into two camps of (a) things that affect the burden of cellular senescence and (b) things that affect metabolism. One has to cut out or diminish the importance of a fair number of line items that may be useful irrespective of their effects on cellular senescence. An increased burden of cellular senescence is only one of the major issues that drive aging. Nonetheless, that is the approach to categorization taken in this review paper.

Aging is a complex biological process characterized by progressive functional decline, driving the incidence of age-related diseases such as neurodegeneration, metabolic disorders, and cardiovascular diseases. Therapeutic strategies targeting aging hallmarks can delay aging and mitigate disease risk. Emerging interventions focus on modulating core aging mechanisms, including cellular senescence, metabolic dysfunction, epigenetic alterations, and mitochondrial impairment, etc.

Recent advances have focused on three strategies: senolytics (eliminating senescent cells, e.g., dasatinib + quercetin), senomorphics (inhibiting the senescence-associated secretory phenotype, e.g., rapamycin), and senoreversion (rejuvenating senescent cells via epigenetic reprogramming). Additionally, metabolic interventions such as caloric restriction mimetics (e.g., spermidine, α-ketoglutarate, ergothioneine) enhance mitochondrial function, activate autophagy, and reprogram energy metabolism, demonstrating lifespan extension and healthspan improvement in preclinical models. Collectively, these approaches hold promise for delaying aging and alleviating age-related pathologies, facilitating the transition to precision longevity medicine.

Link: https://doi.org/10.1038/s41392-026-02662-z