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TRV-2026-0219Certified recordPeer-reviewed

Urinary Metabolic Age from High-Resolution NMR Reveals Longitudinal Aging Patterns

Biological age captures inter-individual heterogeneity in aging process arising from genetic and environmental influences. Metabolites, as the end-products of metabolism, integrate these factors and are therefore well suited for biological age estimation. Urinary metabolomics, in particular, provides a non-invasive and information-rich matrix for assessing systemic metabolic states. We applied different machine learning techniques to develop a biological age score from high-resolution 1H nuclear magnetic resonan…

Health · G Space — documented gain · certified 2026-07-14 · v1 · article view · machine-readable

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Machine learning-derived metabolic age from urinary NMR metabolites tracks longitudinal aging trajectories and predicts incident diseases and mortality beyond chronological age.

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Truvace Impact Record TRV-2026-0219, v1: “Urinary Metabolic Age from High-Resolution NMR Reveals Longitudinal Aging Patterns.” Truvace, 2026-07-14. /record/TRV-2026-0219 (accessed at citation time). sha256 bd55180e9a2e0f78…

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