New Study Identifies Metabolite Profile from 250,000+ Blood Samples that Outperforms Chronological Age in Predicting Short-Term Mortality Risk
https://doi.org/10.1038/s41467-024-52310-9
New Study Identifies Metabolite Profile from 250,000+ Blood Samples that Outperforms Chronological Age in Predicting Short-Term Mortality Risk
https://doi.org/10.1038/s41467-024-52310-9
1 Comment
This study used data from 250,341 UK Biobank participants and developed a metabolomic profile that outperforms other aging metrics in predicting short-term mortality risk. The score also shows potential for identifying individuals with accelerated aging. This could potentially improve disease risk prediction and health monitoring.