Metabolomic aging and mortality clocks based on ensemble learning identify systemic aging risk across the human life span in 18,476 individuals.

Metabolomic age acceleration predicts increased risk of chronic diseases and mortality across the human lifespan in 18,476 individuals.

• Why it matters: Understanding systemic aging markers is crucial for early detection and intervention of age-related diseases, yet metabolomic signatures across the entire human lifespan are not well characterized.
• What they did: Researchers profiled plasma metabolites from 18,476 participants aged 1 to 96 years using nano-assisted laser desorption/ionization mass spectrometry and developed ensemble models to estimate metabolomic age and age deviation.
• The result: Higher metabolomic age acceleration was linked to health deterioration, increased chronic disease risk, and higher all-cause mortality, supporting plasma metabolomics as a scalable tool for aging and health assessment.