The Transcriptomic Evidence on the Role of Abdominal Visceral vs. Subcutaneous Adipose Tissue in the Pathophysiology of Diabetes in Asian Indians Indicates the Involvement of Both.
Anshul KumarPradeep TiwariAditya SaxenaNaincy PurwarNitin WahiBalram SharmaSandeep Kumar MathurPublished in: Biomolecules (2020)
The roles of abdominal visceral (VAT) and subcutaneous adipose tissue (SAT) in the molecular pathogenesis type-2 diabetics (T2D) among Asian Indians showing a "thin fat" phenotype largely remains obscure. In this study, we generated transcription profiles in biopsies of these adipose depots obtained during surgery in 19 diabetics (M: F ratio, 8:11) and 16 (M: F ratio 5:11) age- and BMI-matched non-diabetics. Gene set enrichment analysis (GSEA) was used for comparing transcription profile and showed that 19 gene sets, enriching inflammation and immune system-related pathways, were upregulated in diabetics with F.D.R. <25% and >25%, respectively, in VAT and SAT. Moreover, 13 out of the 19 significantly enriched pathways in VAT were among the top 20 pathways in SAT. On comparison of VAT vs. SAT among diabetics, none of the gene sets were found significant at F.D.R. <25%. The Weighted Gene Correlation Analysis (WGCNA) analysis of the correlation between measures of average gene expression and overall connectivity between VAT and SAT was significantly positive. Several modules of co-expressed genes in both the depots showed a bidirectional correlation with various diabetes-related intermediate phenotypic traits. They enriched several diabetes pathogenicity marker pathways, such as inflammation, adipogenesis, etc. It is concluded that, in Asian Indians, diabetes pathology inflicts similar molecular alternations in VAT and SAT, which are more intense in the former. Both adipose depots possibly play a role in the pathophysiology of T2D, and whether it is protective or pathogenic also depends on the nature of modules of co-expressed genes contained in them.
Keyphrases
- glycemic control
- adipose tissue
- insulin resistance
- genome wide
- type diabetes
- genome wide identification
- gene expression
- cardiovascular disease
- copy number
- dna methylation
- high fat diet
- oxidative stress
- transcription factor
- genome wide analysis
- magnetic resonance
- minimally invasive
- weight loss
- multiple sclerosis
- metabolic syndrome
- network analysis
- escherichia coli
- coronary artery disease
- acute coronary syndrome
- white matter
- computed tomography
- percutaneous coronary intervention
- pseudomonas aeruginosa
- cystic fibrosis
- fatty acid
- coronary artery bypass
- biofilm formation
- bioinformatics analysis