Nightingale Health Plc, Helsinki, Finland.
Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Nat Commun. 2023 Feb 3;14(1):604. doi: 10.1038/s41467-023-36231-7.
Blood lipids and metabolites are markers of current health and future disease risk. Here, we describe plasma nuclear magnetic resonance (NMR) biomarker data for 118,461 participants in the UK Biobank. The biomarkers cover 249 measures of lipoprotein lipids, fatty acids, and small molecules such as amino acids, ketones, and glycolysis metabolites. We provide an atlas of associations of these biomarkers to prevalence, incidence, and mortality of over 700 common diseases ( nightingalehealth.com/atlas ). The results reveal a plethora of biomarker associations, including susceptibility to infectious diseases and risk of various cancers, joint disorders, and mental health outcomes, indicating that abundant circulating lipids and metabolites are risk markers beyond cardiometabolic diseases. Clustering analyses indicate similar biomarker association patterns across different disease types, suggesting latent systemic connectivity in the susceptibility to a diverse set of diseases. This work highlights the value of NMR based metabolic biomarker profiling in large biobanks for public health research and translation.
血脂和代谢物是当前健康状况和未来疾病风险的标志物。在这里,我们描述了英国生物银行 118461 名参与者的血浆核磁共振(NMR)生物标志物数据。这些生物标志物涵盖了 249 种脂蛋白脂质、脂肪酸以及氨基酸、酮体和糖酵解代谢物等小分子的测量值。我们提供了这些生物标志物与 700 多种常见疾病的患病率、发病率和死亡率之间关联的图谱(nightingalehealth.com/atlas)。结果揭示了大量的生物标志物关联,包括对传染病的易感性以及各种癌症、关节疾病和心理健康结果的风险,表明丰富的循环脂质和代谢物是心血管疾病以外的风险标志物。聚类分析表明,不同疾病类型之间存在相似的生物标志物关联模式,这表明在对一系列不同疾病的易感性方面存在潜在的系统性联系。这项工作强调了基于 NMR 的代谢生物标志物谱分析在大型生物库中对于公共卫生研究和转化的价值。