Biology subjects

Nelson, J. F.

Publications and source records attributed to Nelson, J. F..

6 recordsLinked to original sources

bioRxiv2026

Beneficial early, harmful later: age-dependent effects of testicular factors on male mortality

Men live shorter lives than women across nearly all human populations, a disadvantage that extends across most biological causes of death and that cannot be fully explained by behavioral or environmental differences. This suggests that fundamental biological mechanisms contribute to elevated male mortality. Our previous work implicated testicular factors as a major contributor, showing that prepubertal castration extends male lifespan to that of females in UM-HET3 mice, a genetically heterogeneous stock. However, it remains unknown when testicular factors begin to exert their detrimental effects on mortality. Here, we castrated UM-HET3 males before puberty (20 days), after puberty (60 days), or immediately before the typical rise in male mortality (240 days). Castration at all three ages prevented the early male mortality and increased median lifespan by 19.3%, 25.8%, and 32.9%, respectively. The comparable survival benefits of prepubertal and postpubertal castration indicate that exposure to the pubertal surge in testicular factors, including male sex hormones, is not responsible for establishing the male longevity disadvantage. Remarkably, castration at 240 days not only preserved the survival benefit of earlier castration but produced significantly greater survival than earlier castration, suggesting that testicular exposure before 240 days is actually beneficial. The immediate prevention of excess male mortality following castration at 240 days also indicates that the responsible testicular factors act rapidly and that their continued presence is necessary to sustain elevated male mortality. Longitudinal body-composition measurements further revealed that castration shifted males toward a female-like phenotype, characterized by reduced lean mass and continued fat accumulation into later life. Our findings reveal opposing age-dependent effects of testicular factors on survival and narrow the potential therapeutic window to later adulthood.

physiology↗

bioRxiv2026

A prediction-interval framework for identifying outlier control cohorts in lifespan studies

Control cohorts anchor the interpretation of lifespan-extending interventions, yet their lifespans vary even under identical experimental conditions. Without quantifying this expected variation, it is difficult to distinguish unusually short- or long-lived cohorts arising by chance from those reflecting potential experimental anomalies, with important consequences for interpreting treatment effects. The National Institute on Aging Interventions Testing Program (ITP), which tests interventions in mice across three independent sites using standardized protocols, provides a unique opportunity to address this problem. Previously, unusually short-lived males at the University of Texas in 2017 and unusually long-lived females at The Jackson Laboratory in 2022 were identified as potentially anomalous, but no standardized framework existed to determine whether such deviations exceeded expected variation. Here, we analyzed 10,757 control mice spanning 18 years of the ITP to quantify historical variation within and between sites and develop a prediction-interval framework for prospectively identifying unusual cohorts. We found that year-to-year variation, particularly in males, contributed substantially more to variation among cohort means than expected from random sampling alone. Accounting for this variation, our predictive framework flagged the 2022 Jackson Laboratory females but not 2017 University of Texas males, while flagging a previously unrecognized male cohort. Excluding this newly flagged cohort from the original lifespan analysis changed the statistical significance of two rapamycin regimens. These findings highlight the importance of a standardized framework for outlier detection and demonstrate the importance of accounting for natural variability in aging studies.

bioinformatics↗

bioRxiv2026

Non-enzymatic ABHD6 interacts with Akt-FoxO1 axis to regulate selective hepatic insulin resistance

The enzymatic function of ABHD6 on insulin secretion and insulin resistance is well documented. However, its non-enzymatic function, especially its effects on selective hepatic insulin resistance and metabolic dysfunction-associated steatotic liver disease (MASLD) is completely unexplored. ABHD6 is elevated under conditions of diet-induced obesity and aging. To define the role of ABHD6 in liver physiology, we generated liver-specific ABHD6 knockout mice, as well as liver specific overexpression of native and enzymatic inactive mutant ABHD6 mouse models. We demonstrated that ABHD6 is an unidentified regulator of selective hepatic insulin resistance and contributes to MASLD and liver fibrosis. Furthermore, we found that non-enzymatic ABHD6, rather than its enzymatic form, contributes to this regulation. Mechanistically, we found that ABHD6 translocated into the nucleus and interacted with Akt/FoxO1 axis to regulate its function. In addition, knockdown of FoxO1 in primary hepatocytes or overexpression of constitutively active mutant FoxO1 by AAV approach could completely abolish the effects of ABHD6 on glucose tolerance and gluconeogenesis. Our study reveals an entirely different mechanism underlying selective hepatic insulin resistance that involves a previously unknown non-enzymatic function of ABHD6. This study opens an avenue for the development of a novel class of ABHD6 inhibitors to treat MASLD and liver fibrosis. HighlightsO_LIABHD6 expression in the liver is increased with obesity and aging. C_LIO_LIABHD6 manipulation affects selective hepatic insulin resistance, MASLD and liver fibrosis. C_LIO_LINon-enzymatic ABHD6 interacts with Akt/FoxO1 axis to regulate FoxO1 transcriptional activity. C_LIO_LIThe effects of ABHD6 on glucose tolerance and hepatic gluconeogenesis are completely dependent on FoxO1 activity. C_LI

physiology↗

bioRxiv2025

Genetic Modulation of Lifespan: Dynamic Effects, Sex Differences, and Body Weight Trade-offs

The dynamics of lifespan are shaped by DNA variants that exert effects at different ages. We have mapped genetic loci that modulate age-specific mortality using an actuarial approach. We started with an initial population of 6,438 pubescent siblings and ended with a survivorship of 559 mice that lived to at least 1100 days. Twenty-nine Vita loci dynamically modulate the mean lifespan of survivorships with strong age- and sex-specific effects. Fourteen have relatively steady effects on mortality while other loci act forcefully only early or late in life and with polarities of effects that invert. A distinct set of 19 Soma loci shape the negative correlation between weights of young adults with their life expectancies--much more strongly so in males than females. Another set of 11 Soma loci shape the positive correlation between weights at older ages with life expectancies. The Vita and Soma loci share 289 age-dependent epistatic interactions (LODs [≥]3.8) but fewer than 4% are common to both sexes. We provide two examples of how to move from maps toward potential mechanisms. Our findings provide an empirical bridge between evolutionary theories on aging and genetic and molecular causes. These loci and their interactions are key to begin to understand the impact of interventions that may extend healthy lifespan in mice and even in humans.

genetics↗

bioRxiv2024

Deciphering the Timing and Impact of Life-extending Drugs: A Novel Analytic Approach that Differentiates Early, Midlife, and Senescence Phase Efficacies.

Evidence that life-extending interventions are not uniformly effective across the lifespan calls for an analytic tool that can estimate age-specific treatment effects on mortality hazards. Here we report such a tool, applying it to mouse data from 42 compounds tested in the NIA Interventions Testing Program. This tool identified agents that either reduced (22) or increased (15) mortality hazards or did both (2) in at least one sex, most with marked variation in the duration of efficacy and magnitude of effect size. Only 8 reduced mortality hazards after 90% mortality, when the burden of senescence is the greatest. Sex differences were common. This new analytic tool complements the commonly used log-rank test. It detects more potential life-extending candidates (22 versus 10) and indicates when during the life course they are effective. It also uncovers adverse effects.

bioinformatics↗

bioRxiv2024

The Gehan test identifies life-extending compounds overlooked by the log-rank test in the NIA Interventions Testing Program: Metformin, Enalapril, caffeic acid phenethyl ester, green tea extract, and 17-dimethylaminoethylamino-17-demethoxygeldanamycin hydrochloride.

The National Institute on Aging Interventions Testing Program (ITP) has so far identified 12 compounds that extend the lifespan of genetically heterogeneous mice using the log-rank test. However, the log-rank test is relatively insensitive to any compound that does not uniformly reduce mortality across the lifespan. This test may thus miss compounds that only reduce mortality before midlife, for example, a plausible outcome if a compound only mitigates risk factors before midlife or if its efficacy is reduced at later ages. We therefore reanalyzed all data collected by the ITP from 2004-2022 using the Gehan test, which is more sensitive to mortality differences earlier in the life course and does not assume a uniformly reduced mortality hazard across the lifespan. The Gehan test identified 5 additional compounds, metformin, enalapril, 17-dimethylaminoethylamino-17-demethoxygeldanamycin hydrochloride (17-DMAG), caffeic acid phenethyl ester (CAPE), and green tea extract (GTE), which significantly increased survival but were previously missed by the log-rank test. Three (metformin, enalapril, and 17-DMAG) were only effective in males and two (CAPE and GTE) were only effective in females. In addition, 1,3-butanediol, which by log-rank analysis increased survival in females but not males, increased survival in males by the Gehan test. These results suggest that statistical tests sensitive to non-uniformity of drug efficacy across the lifespan should be included in the standard statistical testing protocol to minimize overlooking geroprotective interventions.

bioinformatics↗