Multiomics Analysis Reveals Insights into Potential Drivers of Pancreatic Islet Pathology in Type 2 Diabetes.

ABSTRACT: Despite the high prevalence of type 2 diabetes (T2D), the mechanisms driving pathology in pancreatic islet β cells remain poorly understood. We utilized a multiomics approach to evaluate the transcriptional and biochemical makeup of islets from human organ donors with T2D and nondiabetic controls. Transcriptomic (N = 10), proteomic (N = 6), and untargeted high-resolution metabolomic (N = 10) data were analyzed individually and then integrated using sparse partial least-squares regression, and differential network analysis was performed. In individual data sets, 25 transcripts, 30 proteins, and 30 metabolites were differentially abundant between T2D and nondiabetic islets, representing some pathways not previously characterized in T2D islets including purine and pyrimid

SUBMITTER: Houser MC 

PROVIDER: S-EPMC12268419 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature