生命银行
生物
遗传学
人口
遗传变异
基因座(遗传学)
特质
代谢综合征
数量性状位点
进化生物学
基因
生物信息学
肥胖
医学
环境卫生
内分泌学
计算机科学
程序设计语言
作者
Xiaoxu Li,Jean‐David Morel,Jonathan Sulc,Alessia De Masi,Amélia Lalou,Giorgia Benegiamo,Johanne Poisson,Yasmine Liu,Giacomo von Alvensleben,Arwen W. Gao,Maroun Bou Sleiman,Johan Auwerx
出处
期刊:Cell systems
[Elsevier]
日期:2024-06-01
卷期号:15 (6): 497-509.e3
标识
DOI:10.1016/j.cels.2024.05.006
摘要
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.
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