ArticleAging cell2024
A molecular index for biological age identified from the metabolome and senescence-associated secretome in humans.
Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed.
- Urinary metabolic age from high-resolution nuclear magnetic resonance spectroscopy reveals longitudinal aging patterns.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- Circulating senescence-associated secretory phenotype factors across the stages of type 1 diabetes in a cross-sectional cohort.Scientific reports · 2025Article
- Systemic aging fuels heart failure: Molecular mechanisms and therapeutic avenues.ESC heart failure · 2025Review
- Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Carnosine alleviates oxidative stress to prevent cellular senescence by regulating Nrf2/HO-1 pathway: a promising anti-aging strategy for oral mucosa.Frontiers in pharmacology · 2025Article
- Editorial for Special Issue "Cellular Senescence: Recent Cellular Advances and Discoveries".Biomedicines · 2024Article
- Pterostilbene Targets Hallmarks of Aging in the Gene Expression Landscape in Blood of Healthy Rats.Molecular nutrition & food research · 2024Article
- Metabolites and Metabolic Functional Changes-Potential Markers for Endothelial Cell Senescence.Biomolecules · 2024Article
- Acetyltransferase in cardiovascular disease and aging.The journal of cardiovascular aging · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Unlike chronological age, biological age is a strong indicator of health of an individual. However, the molecular fingerprint associated with biological age is ill-defined. To define a high-resolution signature of biological age, we analyzed metabolome, circulating senescence-associated secretome (SASP)/inflammation markers and the interaction between them, from a cohort of healthy and rapid agers. The balance between two fatty acid oxidation mechanisms, β-oxidation and ω-oxidation, associated with the extent of functional aging. Furthermore, a panel of 25 metabolites, Healthy Aging Metabolic (HAM) index, predicted healthy agers regardless of gender and race. HAM index was also validated in an independent cohort. Causal inference with machine learning implied three metabolites, β-cryptoxanthin, prolylhydroxyproline, and eicosenoylcarnitine as putative drivers of biological aging. Multiple SASP markers were also elevated in rapid agers. Together, our findings reveal that a network of metabolic pathways underlie biological aging, and the HAM index could serve as a predictor of phenotypic aging in humans.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.