Distinct biological ages of organs and systems identified from a multi-omics study.
Level 3 - non-randomized controlled study
Observational multi-omics model derivation with validation in longitudinal cohorts
PubMed 35263580 · doi:10.1016/j.celrep.2022.110459
What was done
Researchers developed organ- and system-specific biological age (BA) models (including liver, kidney, immune, and metabolic systems) using multi-omics profiling that combined clinical tests, immune repertoire, targeted metabolomics, gut microbiome, physical fitness assessments, and facial skin examinations. The biological age metrics were subsequently evaluated across two independent datasets: mortality prediction was assessed in the United States National Health and Nutrition Examination Survey (NHANES), and polygenic risk scores derived from biological ages were assessed for predicting centenarian status in the Chinese Longitudinal Healthy Longevity Survey (CLHLS).
What was found
The authors report that aging rates vary across different organs and physiological systems within individuals and that aging patterns differ between people. Individual organ biological ages were predictive of mortality in NHANES, and biological-age-derived polygenic risk scores predicted centenarian status in CLHLS. The abstract provides no quantitative metrics, effect sizes, or confidence intervals.
Why it matters
The findings support a multi-clock framework of human aging, demonstrating that physiological decline is organ-specific rather than uniformly synchronized across the whole body.
Limits
The abstract provides no sample sizes, numerical performance statistics, or hazard ratios. The study design is observational and association-based, preventing causal conclusions regarding organ-specific biological aging and mortality.
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- context Biological age algorithms indicate that immune age is the most sensitive determinant of longevity compared to any other organ age.