This paper presents a comprehensive human metabolome-phenome atlas created by mapping plasma metabolic profiles to a vast array of human diseases and traits. Utilizing data from 274,241 UK Biobank participants with a median follow-up of nearly 15 years, the researchers systematically analyzed over 1.4 million associations between 313 plasma metabolites and thousands of diseases and traits. The study reveals key metabolic alterations occurring more than a decade before disease onset and employs machine-learning-based metabolic risk scores (MetRS) for favorable disease classification and prediction. Furthermore, Mendelian randomization and colocalization analyses identified hundreds of potentially causal metabolite–disease pairs, supporting precision medicine with a publicly available interactive resource.

References：

• You J, Cui X H, Chen Y L, et al. Mapping the plasma metabolome to human health and disease in 274,241 adults[J]. Nature Metabolism, 2025: 1-19.