Global Transcriptomic Profiling of Cardiac Hypertrophy and Fatty Heart Induced by Long-Term High-Energy Diet in Bama Miniature Pigs

A long-term high-energy diet affects human health and leads to obesity and metabolic syndrome in addition to cardiac steatosis and hypertrophy. Ectopic fat accumulation in the heart has been demonstrated to be a risk factor for heart disorders, but the molecular mechanism of heart disease remains largely unknown. Bama miniature pigs were fed a high-fat, high-sucrose diet (HFHSD) for 23 months. These pigs developed symptoms of metabolic syndrome and showed cardiac steatosis and hypertrophy with a greatly increased body weight (2.73-fold, P < 0.01), insulin level (4.60-fold, P < 0.01), heart weight (1.82-fold, P < 0.05) and heart volume (1.60-fold, P < 0.05) compared with the control pigs. To understand the molecular mechanisms of cardiac steatosis and hypertrophy, nine pig heart cRNA samples were hybridized to porcine GeneChips. Microarray analyses revealed that 1,022 genes were significantly differentially expressed (P < 0.05, >= 1.5-fold change), including 591 up-regulated and 431 down-regulated genes in the HFHSD group relative to the control group. KEGG analysis indicated that the observed heart disorder involved the signal transduction-related MAPK, cytokine, and PPAR signaling pathways, energy metabolism-related fatty acid and oxidative phosphorylation signaling pathways, heart function signaling-related focal adhesion, axon guidance, hypertrophic cardiomyopathy and actin cytoskeleton signaling pathways, inflammation and apoptosis pathways, and others. Quantitative RT-PCR assays identified several important differentially expressed heart-related genes, including STAT3, ACSL4, ATF4, FADD, PPP3CA, CD74, SLA-8, VCL, ACTN2 and FGFR1, which may be targets of further research. This study shows that a long-term, high-energy diet induces obesity, cardiac steatosis, and hypertrophy and provides insights into the molecular mechanisms of hypertrophy and fatty heart to facilitate further research.