A biological aging clock based on circulating amino acid levels

A new aging clock built on eighteen circulating amino acids emerges as a genuine clinical tool after validation across more than 280,000 samples from individuals aged 1 to 89. Called AmiAge, the Random Forest model trained on data from nine independent studies demonstrates solid correlation between the AmiAge gap—the difference between predicted biological age and chronological age—and established aging biomarkers, age-related disease incidence, and clinical frailty. Researchers distilled the model to eight key amino acids (alanine, glutamine, glycine, histidine, leucine, phenylalanine, tyrosine, and valine) without sacrificing accuracy, opening applications in precision medicine. What matters here is not another aging clock, but that AmiAge connects simple biochemical parameters to real clinical outcomes: individuals with elevated gaps exhibit telomere shortening and higher prevalence of chronic disease. For the longevity-curious reader, this translates to an accessible, scalable, and physiologically grounded biomarker that complements existing aging clocks and can inform personalized interventions.