Multi-omics Analysis Unveils Metabolic Inflexibility Manifesting as Impaired Branched Amino Acid and Enhanced Fatty Acid Degradation in a Mouse Model of Diabetic Cardiomyopathy [RNA-seq]
Diabetic cardiomyopathy (DbCM) is an important clinical syndrome of diabetes and cause great burden to the people's life and health. Understanding its intrinsic epigenetic and metabolic alterations is critical to develop drugs for the treatment of DbCM. Multiple omics technology provides a feasible way for parsing the epigenetic characteristics and metabolic signatures associated with DbCM. The heart isolated from Male db/db mice and db/m mice were used for the analysis of high-throughput sequencing. Non-targeted metabolomics and amino acid-targeted metabolomics analyses were performed to detect the metabolites in plasma and heart tissues. Additionally, RNA-seq, proteomics, and ATAC-seq were employed to elucidate the underlying transcriptional-metabolic regulatory network mechanism in DbCM. Overall design: Cardiac mRNA profiles of 24-week old db/m and db/db mice