代谢组
代谢物
孟德尔随机化
代谢组学
疾病
动脉粥样硬化性心血管疾病
人血浆
人类健康
生命银行
医学
生物
人类疾病
风险评估
生物信息学
计算生物学
内科学
弗雷明翰风险评分
生理学
胆固醇
临床试验
心血管健康
脂蛋白
混淆
代谢性疾病
孟德尔遗传
生物标志物
地图集(解剖学)
全基因组关联研究
遗传学
作者
Jia You,Xi-Han Cui,Yilin Chen,Yixuan Wang,Haiyun Li,Yi‐Xuan Qiang,Ji-Yun Cheng,Yue‐Ting Deng,Yu Guo,Peng Ren,Yi Zhang,Yu He,Xiaoyu He,Shi-Dong Chen,Yaru Zhang,Yuyuan Huang,Ying Mao,Jianfeng Feng,Wei Cheng,Jin‐Tai Yu
标识
DOI:10.1038/s42255-025-01371-1
摘要
A systematic characterization of metabolic profiles in human health and disease enhances precision medicine. Here we present a comprehensive human metabolome-phenome atlas, using data from 274,241 UK Biobank participants with nuclear magnetic resonance metabolic measures. This atlas links 313 plasma metabolites to 1,386 diseases and 3,142 traits, with participants being prospectively followed for a median of 14.9 years. This atlas uncovered 52,836 metabolite-disease and 73,639 metabolite-trait associations, where the ratio of cholesterol to total lipids in large low-density lipoprotein percentage was found as the metabolite associated with the highest number (n = 526) of diseases. In addition, we found that more than half (57.5%) of metabolites showed statistical variations from healthy individuals over a decade before disease onset. Combined with demographics, the machine-learning-based metabolic risk score signified the top 30 (around 10%) metabolites as biomarkers, yielding favourable classification performance (area under the curve > 0.8) for 94 prevalent and 81 incident diseases. Finally, Mendelian randomization analyses provided support for causal relationships of 454 metabolite-disease pairs, among which 402 exhibited shared genetic determinants. Additional insights can be gleaned via an accessible interactive resource ( https://metabolome-phenome-atlas.com/ ).
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