Sex-specific biological aging clocks across organs and omics
Abstract
Sex differentially shapes aging, neurodevelopment and neurodegenerative diseases such as Alzheimer’s disease (AD). However, most biological aging clocks (artificial intelligence-predicted age minus chronological age) were trained on sex-pooled samples and implicitly assume sex invariance.Here we developed 38 sex-specific biological aging clocks across 15 organ systems. We first demonstrate the importance of sex-stratified training for constructing sex-specific healthy normative references and then reveal marked divergence between female and male clocks. Key genetic parameters and Mendelian randomization results indicate that organ-specific aging liability and its relationships to cardiometabolic, endocrine and mental traits are configured differently in females and males. Proteomic analyses identify distinct, organ-resolved synaptic, immune, vascular and metabolic networks that differentially track female and male biological aging. In longitudinal survival analyses, sex-specific clocks predict whole-body systemic diseases and all-cause mortality in a sex-dependent and organ-dependent manner. Further analyses reveal sex-dependent associations between the brain aging clock and cognitive decline trajectory during a preclinical AD clinical trial. Sex-stratified clocks may offer distinct value by defining biological age against sex-appropriate normative references and revealing sex-dependent genetic, molecular and clinical signatures that pooled models may obscure. Meanwhile, sex-pooled and sex-interaction approaches remain valuable, as human aging and disease also share fundamental biological similarities between females and males. Together, these findings reveal sex-specific biological aging signatures in aging, AD and systemic health, highlighting the need for explicitly sex-stratified modeling approaches. Sex-specific biological aging clocks across multiple organs and molecular systems show that female and male aging patterns can differ in organ-specific, disease-relevant ways.
// Source
Authors: Zhiyuan Song, Derek Feng, Naowal Azraf Rahman, Michael R. Duggan, Qu Tian, Jian Zeng, Xia Zhou, Chunrui Zou, Michael S. Rafii, Li Shen, Paul M. Thompson, Eleanor M. Simonsick, Keenan A. Walker, Andrew Zalesky, Christos Davatzikos, Paul Aisen, Luigi Ferrucci, Susan M. Resnick, Junhao Wen
Institutions: University of Pennsylvania, The University of Queensland, Columbia University, The University of Melbourne, University of Southern California, National Institutes of Health, New York Genome Center, National Institute on Aging, Institute on Aging