Decoding sexually dimorphic proteomic landscapes in the context of aging and mortality

Sep 30, 2025Communications medicine

Differences between males and females in protein patterns related to aging and lifespan

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Longevity & Aging on OpenScience ↗PubMed ↗DOI ↗OA ↗

Abstract

A total of 172 proteins associated with aging rates in males were identified, compared to 1 protein in females.

Distinct aging trajectories for males and females were observed, with females showing more nonlinear changes.
Hundreds of (ARPs) were identified in both sexes.
A subset of mortality-aging-associated proteins was found, highlighting differences between sexes.
The study suggests that proteomic changes related to aging and mortality are sexually dimorphic.

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BACKGROUND: Aging-associated changes are major contributors to the onset and progression of chronic diseases. Different aging clocks have been developed to assess biological aging, demonstrating their utility in predicting mortality, diagnosing disease, and evaluating the efficacy of antiaging interventions. However, the protein profile underlying the accelerating or decelerating rates of aging, hidden behind aging clocks, remains poorly understood.

METHOD: Based on the UK Biobank (n = 53, 013; age range 39-71 years; 53.9% men and 46.1% women), we built a proteomic-based aging clock, , and assessed its performance in predicting all-cause mortality. Sex-specific aging trajectories and (ARPs) were identified.

RESULTS: ProteAge reveals distinct aging trajectories for males and females, with females exhibiting more nonlinear changes in the aging rate than males do. We identify hundreds of accelerating and decelerating aging rate proteins (ARPs) in both sexes. Given the critical role of mortality prediction in aging and longevity research, we identify a subset of mortality-aging-associated proteins among ARPs, with a total of 1 protein in females but 172 in males. Furthermore, the protective and risk factors in both sexes are identified based on these ARPs.

CONCLUSIONS: These findings highlight sexually-dimorphic proteomic changes associated with aging and mortality, offering insights into the biological mechanisms underlying aging and longevity.

Key numbers

172

Mortality-associated proteins in males

Number of proteins linked to mortality identified in the male cohort.

Mortality-associated proteins in females

Number of proteins linked to mortality identified in the female cohort.

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Decoding sexually dimorphic proteomic landscapes in the context of aging and mortality

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