Exploring the Molecular Mechanisms underlying SADI-S Improves Glucose Metabolism in Type 2 Diabetic Rats through Liver Transcriptomics and Proteomics Analysis
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引用次数: 0
Abstract
Metabolic surgery could improve or even reverse type 2 diabetes mellitus (T2DM). Single-anastomosis duodenal-ileal bypass with sleeve gastrectomy (SADI-S) is one of the most effective metabolic surgeries for T2DM. However, the molecular mechanisms behind the SADI-S-induced T2DM improvement are not fully understood.Here,T2DM rats received SADI-S and were sacrificed after 8 weeks; the controls received sham surgery; Liver tissues were collected for transcriptomics and proteomics analysis to identify differentially expressed genes (DEGs) and proteins (DEPs). Parallel reaction monitoring (PRM) was performed to validate the accuracy of the proteomics results.SADI-S significantly improved glucose metabolism in T2DM rats.A total of 120 genes/proteins(e.g., phosphoenolpyruvate carboxykinase (Pck1) and pyruvate kinase (Pklr)) exhibited consistent expression trends at both mRNA and protein levels. Among the upregulated genes/proteins involved in glucose metabolic pathways, enrichment was observed in pathways such as the pyruvate metabolic pathway, insulin signaling pathway, glycolysis/gluconeogenesis biological processes, glucagon signaling pathway, and AMPK signaling pathway. Downregulated genes/proteins were enriched in the pyruvate metabolic pathway. The above-mentioned signaling pathways are implicated in glucose metabolism, suggesting a potential mechanism for SADI-S-mediated alleviation of T2DM. The PRM validation results indicated that all selected proteins showed consistent trends between PRM and proteomics data. This consistency suggests the reliability of the proteomics results.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".