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DNA methylation data for human muscle cells from individuals with type 2 diabetes and controls

ABSTRACT: DNA methylation data for human muscle cells from individuals with type 2 diabetes and controls

PROVIDER: PRJNA701481 | ENA |

REPOSITORIES: ENA

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Near-whole-genome transcriptome analysis of gene expression in human skeletal muscle tissue at baseline in obese individuals with Type 2 Diabetes

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Human skeletal muscle - type 2 diabetes and family history positive individuals - Mexican American

Project description:Type 2 diabetes mellitus (DM) is characterized by insulin resistance and pancreatic beta-cell dysfunction. In high-risk subjects, the earliest detectable abnormality is insulin resistance in skeletal muscle. Impaired insulin-mediated signaling, gene expression, and glycogen synthesis, and accumulation of intramyocellular triglycerides have all been linked with insulin resistance, but no specific defect responsible for insulin resistance and DM has been identified in humans. To identify genes potentially important in the pathogenesis of DM, we analyzed gene expression in skeletal muscle from healthy metabolically characterized nondiabetic (family history negative and positive for DM) and diabetic Mexican-American subjects. We demonstrate that insulin resistance and DM associate with reduced expression of multiple nuclear respiratory factor-1 (NRF-1)-dependent genes encoding key enzymes in oxidative metabolism and mitochondrial function. While NRF-1 expression is decreased only in diabetic subjects, expression of both PPARg coactivator 1-alpha and -beta (PGC1-a/PPARGC1, and PGC1-b/PERC), coactivators of NRF-1 and PPARg-dependent transcription, is decreased in both diabetic subjects and family history positive nondiabetic subjects. Decreased PGC1 expression may be responsible for decreased expression of NRFdependent genes, leading to the metabolic disturbances characteristic of insulin resistance and DM. Human muscle samples were obtained from five subjects with type 2 diabetes and ten subjects without diabetes, as well as 5 aliquots from a single subject without diabetes. The subjects without diabetes were further classified as family history positive (four subjects) or family history negative (six subjects).

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