A Ibáñez de Opakua, R Conde, A de Diego, M Bizkarguenaga, N Embade, S C Lu, J M Mato, O Millet
{"title":"Metabolomic-based aging clocks.","authors":"A Ibáñez de Opakua, R Conde, A de Diego, M Bizkarguenaga, N Embade, S C Lu, J M Mato, O Millet","doi":"10.1038/s44324-025-00078-x","DOIUrl":null,"url":null,"abstract":"<p><p>Molecular aging clocks estimate biological age from molecular biomarkers and often outperform chronological age in predicting health outcomes. Types include epigenetic, transcriptomic, proteomic, and metabolomic clocks. NMR-based metabolomic clocks provide a non-invasive, high-throughput platform to assess metabolic health. We summarize key NMR-based models and present a new approach that combines high predictive accuracy with clinical interpretability, identifying disease-specific metabolic distortions and supporting risk stratification and early detection of accelerated aging.</p>","PeriodicalId":501710,"journal":{"name":"npj Metabolic Health and Disease","volume":"3 1","pages":"35"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12408810/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Metabolic Health and Disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44324-025-00078-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Molecular aging clocks estimate biological age from molecular biomarkers and often outperform chronological age in predicting health outcomes. Types include epigenetic, transcriptomic, proteomic, and metabolomic clocks. NMR-based metabolomic clocks provide a non-invasive, high-throughput platform to assess metabolic health. We summarize key NMR-based models and present a new approach that combines high predictive accuracy with clinical interpretability, identifying disease-specific metabolic distortions and supporting risk stratification and early detection of accelerated aging.