An integrative multiomic network model links lipid metabolism to glucose regulation in coronary artery disease.

An integrative multiomic network model links lipid metabolism to glucose regulation in coronary artery disease.
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DOI:
10.1038/s41467-020-20750-8
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发表时间:
2021-01-22
影响因子:
16.6
通讯作者:
Schadt EE
Schadt EE
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Cohain AT;Barrington WT;Jordan DM;Beckmann ND;Argmann CA;Houten SM;Charney AW;Ermel R;Sukhavasi K;Franzen O;Koplev S;Whatling C;Belbin GM;Yang J;Hao K;Kenny EE;Tu Z;Zhu J;Gan LM;Do R;Giannarelli C;Kovacic JC;Ruusalepp A;Lusis AJ;Bjorkegren JLM;Schadt EE

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Elevated plasma cholesterol and type 2 diabetes (T2D) are associated with coronary artery disease (CAD). Individuals treated with cholesterol-lowering statins have increased T2D risk, while individuals with hypercholesterolemia have reduced T2D risk. We explore the relationship between lipid and glucose control by constructing network models from the STARNET study with sequencing data from seven cardiometabolic tissues obtained from CAD patients during coronary artery by-pass grafting surgery. By integrating gene expression, genotype, metabolomic, and clinical data, we identify a glucose and lipid determining (GLD) regulatory network showing inverse relationships with lipid and glucose traits. Master regulators of the GLD network also impact lipid and glucose levels in inverse directions. Experimental inhibition of one of the GLD network master regulators, lanosterol synthase (LSS), in mice confirms the inverse relationships to glucose and lipid levels as predicted by our model and provides mechanistic insights. Some cholesterol-lowering drugs can increase the risk of type 2 diabetes, but the mechanism behind this is not fully understood. Here the authors show that there is a single genetic regulatory module that influences both cholesterol levels and glucose levels, providing a link between cholesterol levels and diabetes.
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