Visceral Adipose Tissue Molecular Networks and Regulatory microRNA in Pediatric Obesity: An In Silico Approach.
Dipayan RoyAnupama ModiRitwik GhoshRaghumoy GhoshJulián Benito-LeónPublished in: International journal of molecular sciences (2022)
Childhood obesity carries an increased risk of metabolic complications, sleep disturbances, and cancer. Visceral adiposity is independently associated with inflammation and insulin resistance in obese children. However, the underlying pathogenic mechanisms are still unclear. We aimed to detect the gene expression pattern and its regulatory network in the visceral adipose tissue of obese pediatric individuals. Using differentially-expressed genes (DEGs) identified from two publicly available datasets, GSE9624 and GSE88837, we performed functional enrichment, protein-protein interaction, and network analyses to identify pathways, targeting transcription factors (TFs), microRNA (miRNA), and regulatory networks. There were 184 overlapping DEGs with six significant clusters and 19 candidate hub genes. Furthermore, 24 TFs targeted these hub genes. The genes were regulated by miR-16-5p, miR-124-3p, miR-103a-3p, and miR-107, the top miRNA, according to a maximum number of miRNA-mRNA interaction pairs. The miRNA were significantly enriched in several pathways, including lipid metabolism, immune response, vascular inflammation, and brain development, and were associated with prediabetes, diabetic nephropathy, depression, solid tumors, and multiple sclerosis. The genes and miRNA detected in this study involve pathways and diseases related to obesity and obesity-associated complications. The results emphasize the importance of the TGF-β signaling pathway and its regulatory molecules, the immune system, and the adipocytic apoptotic pathway in pediatric obesity. The networks associated with this condition and the molecular mechanisms through which the potential regulators contribute to pathogenesis are open to investigation.
Keyphrases
- insulin resistance
- adipose tissue
- transcription factor
- metabolic syndrome
- bioinformatics analysis
- weight loss
- genome wide identification
- high fat diet
- high fat diet induced
- genome wide
- type diabetes
- gene expression
- multiple sclerosis
- weight gain
- immune response
- diabetic nephropathy
- skeletal muscle
- signaling pathway
- protein protein
- oxidative stress
- bariatric surgery
- dna methylation
- cell death
- cell proliferation
- minimally invasive
- white matter
- dna binding
- obese patients
- cancer therapy
- physical activity
- small molecule
- risk assessment
- risk factors
- drug delivery
- molecular docking
- epithelial mesenchymal transition
- transforming growth factor
- squamous cell carcinoma
- single cell
- cerebral ischemia
- anti inflammatory