Mapping the plasma metabolome to human health and disease in 274,241 adults
8.4
来源：
Nature
关键字：
brain-inspired computing
发布时间：
2025-09-19 19:37
摘要：
This study introduces the largest human metabolome-phenome atlas, linking plasma metabolites to a wide range of diseases and traits in 274,241 individuals. It identifies over 52,000 metabolite-disease associations, revealing significant metabolite variations preceding disease onset. The research highlights the potential of metabolites as biomarkers for precision medicine, with machine-learning-based metabolic risk scores showing strong predictive performance for various diseases. The findings underscore the intricate relationship between metabolites and health, paving the way for future therapeutic targets and personalized healthcare strategies.
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关键证据
The study established a human metabolome-phenome atlas by systematically examining over 1.4 million associations.
Machine-learning-based metabolic risk score (MetRS) demonstrated favorable performance for disease classification.
454 potentially causal metabolite-disease associations were identified, with shared genetic determinants.
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AI评分总结
This study introduces the largest human metabolome-phenome atlas, linking plasma metabolites to a wide range of diseases and traits in 274,241 individuals. It identifies over 52,000 metabolite-disease associations, revealing significant metabolite variations preceding disease onset. The research highlights the potential of metabolites as biomarkers for precision medicine, with machine-learning-based metabolic risk scores showing strong predictive performance for various diseases. The findings underscore the intricate relationship between metabolites and health, paving the way for future therapeutic targets and personalized healthcare strategies.