Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Cell Syst. 2024 Jun 19;15(6):497-509.e3. doi: 10.1016/j.cels.2024.05.006. Epub 2024 Jun 11.
Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. A record of this paper's transparent peer review process is included in the supplemental information.
代谢综合征(MetS)的易感性取决于遗传、环境和基因-环境相互作用,这使得对潜在机制的研究具有挑战性。模型生物中的大多数实验都没有纳入遗传变异,并且缺乏针对 MetS 的具体评估标准。在这里,我们基于标准的临床参数推导出了一个连续的度量标准,即代谢健康评分(MHS),并定义了其在肝脏和循环中的分子特征。在英国生物库人群中,MHS 与 MetS 状态相关,并可预测未来疾病的发病率,即使在没有 MetS 的个体中也是如此。通过在小鼠中进行数量性状基因座分析,我们发现了两个与 MHS 相关的遗传位点,并在无关的小鼠群体中进行了复制。通过在小鼠和人类遗传数据中的优先级方案,我们确定了 TNKS 和 MCPH1 作为介导 MHS 差异的候选基因。我们的研究结果为跨物种维持代谢健康的分子机制提供了深入的了解,并揭示了可能的调节因子。本文的透明同行评审过程记录包含在补充信息中。