A Proteomic Signature of Healthspan
Chia-Ling Kuo, Peiran Liu, Richard Fortinsky, George Kuchel, Breno Diniz

TL;DR
Researchers developed a new proteomic score to assess healthspan, which better predicts chronic disease and mortality than existing aging measures.
Contribution
The study introduces a novel healthspan proteomic score (HPS) that outperforms existing biological age measures in predicting adverse health outcomes.
Findings
HPS outperformed chronological age and other biological age measures in predicting mortality and chronic diseases.
Individuals at higher health risk (e.g., smokers, obese individuals) had lower HPS values.
HPS aligns with biological aging hallmarks like immune response and metabolic regulation.
Abstract
Despite significant efforts to develop biomarkers of aging, few studies have focused on biomarkers of healthspan. We developed a proteomics-based signature of healthspan (healthspan proteomic score (HPS)) using proteomic data from the Olink Explorer 3072 assay in the UK Biobank Pharma Proteomics Project (53,018 individuals and 2920 proteins). Unlike previous biological age predictors trained to predict chronological age, mortality, or organ/disease-specific predictors, HPS was developed to evaluate the risk of a major chronic disease or mortality based on a healthspan definition. HPS outperformed chronological age and other biological age measures in predicting mortality and various chronic diseases. Subgroup analyses revealed that individuals at higher risk for adverse health outcomes—such as males, older adults, current or former smokers, obese individuals, and those with hypertension…
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Taxonomy
TopicsGenetics, Aging, and Longevity in Model Organisms · GDF15 and Related Biomarkers · Health, Environment, Cognitive Aging
