Researchers developed a metabolomic aging score using NMR biomarkers that predicts short-term mortality and disease risk more accurately than other aging metrics.
By Dr. Sushama R. Chaphalkar, PhD.Reviewed by Susha Cheriyedath, M.Sc.Sep 16 2024 Discover how a new metabolomic aging score outshines conventional metrics in predicting short-term mortality, opening doors to personalized health insights and early disease intervention.
In a recent study published in the journal Nature Communications, researchers from China investigated nuclear magnetic resonance biomarkers associated with aging. They developed a longitudinal metabolomic aging rate and a metabolomic aging score to predict the risk for disease and all-cause mortality. They identified 54 representative aging-related biomarkers with varying hazard ratios, including GlycA, which had the highest hazard ratio for all-cause mortality.
A GWAS of 325 biomarkers was conducted on a subset of around 95,000 individuals to identify genetic variants associated with the biomarkers. Genetic correlations and pleiotropic effects were analyzed, and multiple aging metrics were compared to the metabolomic aging score. A multivariable Mendelian randomization analysis assessed potential causal relationships between metabolomic biomarkers and 20 aging-related diseases.
Mortality Biomarker Genetic Global Health Inflammation Leukocyte Metabolome Metabolomics Research Telomere UK Biobank
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