Science (New York, N.Y.) · 2026
Longitudinal dynamics of gene expression and metabolomics in an aging population cohort.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
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El-Sayed Moustafa Julia S, Ramisch Anna, Raza Yasrab N, Leday Gwenael G R, Jiao Yunlong, Wang Dongmeng, Stevens Michael, Roberts Amy L, Tomlinson Max, Yan Xinyu, Ing-Simmons Elizabeth, Wadge Samuel, Abdalla Moustafa, Falchi Mario, Holmes Christopher C, Menni Cristina, Nicholson George, McCarthy Mark I, Dermitzakis Emmanouil T, Richardson Sylvia, Spector Tim D, Small Kerrin S
Аннотация
Multiomic profiling provides a comprehensive physiological overview at the molecular level, but understanding of its spatiotemporal dynamics remains limited in human populations. We profiled longitudinal whole-blood gene expression and metabolite levels in 335 females over 8 years. Levels of 5061 genes and 181 metabolites changed over time, with individual trajectories often diverging from population-level trends. Longitudinally variable genes showed cell type specificity and enrichment for aging-relevant pathways, including cardiometabolic and neurodegenerative disorders. Longitudinal trajectories were further shaped by genetics, circadian rhythm, seasonality, and environmental pollutant exposures. Integrative analyses revealed extensive static and time-variable cross-omic connectivity. Longitudinal profiling offers insight into the temporal evolution of age-related conditions at the molecular level, and understanding individual variation within these longitudinal patterns will be essential for future precision medicine approaches.