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

Abstract:

: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.

journal_name

Nat Commun

journal_title

Nature communications

authors

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,R

doi

10.1038/s41467-020-20750-8

subject

Has Abstract

pub_date

2021-01-22 00:00:00

pages

547

issue

1

issn

2041-1723

pii

10.1038/s41467-020-20750-8

journal_volume

12

pub_type

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