Hepatic transcript modules are predictive of atherosclerotic lesion burden after a 2-year high cholesterol, high fat diet challenge in baboons [2 years HCHF]

Analysis of hepatic transcript data using unbiased Weighted Gene Correlation Network Analysis (WGCNA) to identify significant modules of genes correlated with lesion burden and performed pathway enrichment analysis of genes in significant modules. The hypothesis tested in the present study was that transcript modules are predictive of atherosclerotic lesion burden after a high cholesterol, high fat diet challenge. results of the study provide an understanding of the key pathways and genes underlying atherosclerotic lesion burdenafter high cholesterol and high fat diet challenge in baboons . Baboons (n=111; 47 Females, 64 males) were maintained on a two-year dietary challenge with a diet high in cholesterol and saturated fat (HCHF). Liver biopsy samples were collected at the end of two-year period. The sample number refers to the same animal across all time points.