Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study

Area of Science:

• Genetics
• Molecular Biology
• Metabolic Diseases

Background:

• Type 2 diabetes (T2D) is a complex metabolic disorder with intricate molecular underpinnings.
• Identifying key genes and pathways involved in T2D pathogenesis is crucial for developing effective treatments.

Purpose of the Study:

• To pinpoint critical differentially expressed genes (DEGs) in pancreatic islets of individuals with T2D.
• To explore the functional pathways associated with these DEGs in the molecular mechanisms of T2D.

Main Methods:

• Analysis of publicly available Gene Expression Omnibus (GEO) datasets (GSE20966, GSE25724, GSE38642) comparing T2D patients and normal controls.
• Utilized Database for Annotation, Visualization and Integrated Discovery (DAVID) for enrichment analysis and Search Tool for the Retrieval Interacting Genes (STRING) for protein-protein interaction (PPI) network construction.
• Employed gene set enrichment analysis (GSEA) to identify significant pathways and quantitative real-time PCR (qPCR) to validate the expression of the identified hub gene.

Main Results:

• Identified 45 co-expressed DEGs across three datasets, predominantly downregulated in T2D islets.
• ATP-citrate lyase (ACLY) was identified as a crucial hub gene within the PPI network.
• GSEA indicated enrichment of low ACLY expression in pathways including glycine, serine, and threonine metabolism, drug metabolism by cytochrome P450 (CYP), and NOD-like receptor (NLR) signaling.

Conclusions:

• Bioinformatic analyses highlight ACLY and its associated pathways as potential key players in the molecular pathogenesis of type 2 diabetes.
• ACLY represents a promising molecular target for future therapeutic interventions in T2D treatment.