PLX101553

GSE157223: An integrative multiomic network model links the canonical lipid metabolism pathway to glucose regulation in coronary artery disease

• Organsim mouse
• Type RNASEQ
• Target gene
• Project ARCHS4

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 explored 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 identified a Glucose and Lipid Determining (GLD) regulatory network showing inverse relationships with lipid and glucose traits. Master regulators of the GLD network also impacted lipid and glucose levels in inverse directions. Experimental knockdown of one of the GLD network master regulators, Lanosterol Synthase (LSS), in mouse confirmed the inverse relationships to glucose and lipid levels as predicted by our model and provided mechanistic insights. SOURCE: Daniel,Michael,Jordan (daniel.jordan1@mssm.edu) - Icahn School of Medicine at Mount Sinai