"INTEGRATIVE TRANSCRIPTOMIC ANALYSIS OF PANCREATIC ISLETS FROM PATIENTS WITH PREDIABETES/TYPE 2 DIABETES"

MENCUCCI, MV; FLORES LE; GAGLIARDINO JJ; ABBA, M; MAIZTEGUI, B

DIABETES/METABOLISM RESEARCH AND REVIEWS.

JOHN WILEY & SONS LTD

Lugar: LOndres; Año: 2021

1520-7552

Aim: to identify new transcriptomic alterations in pancreatic islets associated with metabolic dysfunctions in people with prediabetes (PD)/type 2 diabetes (T2D).Materials and methods: We collected information from public data repositories T2D related microarray datasets from pancreatic islets. We identified Differential Expressed Genes (DEGs) in non-diabetic (ND) versus people with T2D in each study. To identify relevant DEGs in T2D, we selected those that varied consistently in the different studies for further meta-analysis and functional enrichment analysis. DEGs were also evaluated at the PD stage.Results: A total of 7 microarray datasets were collected and analyzed to find the DEGs in each study and meta-analysis was performed with 245 ND and 96 T2D cases. We identified 55 transcriptional alterations potentially associated with specific metabolic dysfunctions in T2D. Meta-analysis showed that 87% of transcripts identified as DEGs (48 out of 55) were confirmed as having statistically significant up- or down modulation in T2D compared to ND. Notably, 9 of these DEGs have not been previously reported as dysregulated in pancreatic islets from people with T2D. Consistently, the most significantly enriched pathways were related to the metabolism and/or development/maintenance of β-cell. 18 of the 48 selected DEGs (38%) showed an altered expression in islets from people with PD.Conclusions: These results provide new evidence to interpret the pathogenesis of T2D and the transition from PD to T2D. Further studies are necessary to validate its potential use for the development/implementation of efficient new strategies for the prevention, diagnosis/prognosis and treatment of T2D.