MetabHub 发布整合血浆 NMR 代谢组学平台，支持中介分析、疾病预测与风险分层
MetabHub: an integrative platform for plasma nuclear magnetic resonance metabolomics using mediation analysis, disease prediction, and risk stratification
MetabHub 是一个基于 UK Biobank 个体水平数据构建的网页资源，整合了血浆 NMR 代谢组学的中介分析、疾病预测与风险分层功能。平台覆盖 364795 名欧洲参与者、251 个血浆 NMR 性状、129 项临床测量、54 种环境暴露、全基因组变异和 57 种新发疾病，共映射出 2950764 个显著关联。研究团队用两步筛选和自然效应模型识别出 1886224 条显著的临床测量、环境因素和基因型中介通路。
来源：Nucleic Acids Research · doi.org
Plasma nuclear magnetic resonance (NMR) metabolomics offers a scalable molecular readout linking genetic variation, environmental exposure, and clinical physiology to future disease risk. Existing resources typically address metabolite–disease associations, metabolite quantitative trait loci, or prediction separately, with limited support for integrated mediation and longitudinal risk stratification. MetabHub (https://www.metabhub.net) is a web-based resource built from individual-level UK Biobank data, comprising 364 795 European participants, 251 plasma NMR traits, 129 clinical measurements, 54 environmental exposures, genome-wide variants, and 57 incident diseases. It maps sex-combined and sex-specific associations across measurements, exposures, genotypes, metabolites, and diseases, yielding 2 950 764 significant associations. Using two-step screening and natural effect models, MetabHub identifies 1 886 224 significant clinical measurement, environmental factor, and genotype mediation pathways. It also provides metabolite-based prediction models for incident disease using penalized logistic regression, XGBoost, LightGBM, and multilayer perceptron, together with an online interface for applying pre-trained models to user-uploaded profiles. Model-derived metabolomic risk scores are further evaluated using Cox regression and survival stratification over ~14 years of follow-up. Global search, interactive visualization, downloadable tables, prediction, and stratification modules support mechanistic discovery and metabolomics-informed precision prevention.