“MiRNA based target identification of TNFα gene in nephrotic syndrome”

Abstract

Background

Nephrotic syndrome (NS) can be caused by various underlying kidney conditions. In most cases, the exact cause of NS is unknown, although it may be related to the body's immune system malfunctioning. Recent studies suggested that TNFα gene contributes significantly to the progression of nephrotic syndrome patients. This study investigates the role of TNFα gene in nephrotic syndrome by studying gene interactions, co-expressions and network biological approaches to predict the miRNA associated with TNFα gene as a biomarker in nephrotic syndrome patients. We conduct a detailed study and identify the TNFα associated genes involved in nephrotic syndrome using Genecard, NCBI GEO, Enrichr and String database. Based on the co-expression and network-based studies we identified a list of gene along with TNFα gene and predict the miRNA pattern associated with each gene. Hub miRNA is predicted as a biomarker for NS. We predict a panel of Mirna by network-based approach, hsa-miR-130a-3p,hsa-miR-130b-3p,hsa-miR-181a-2-3p,hsa-miR-301a-3p,miR-301b-3p,hsa-miR-3666,hsa-miR-4295,hsa-miR-4310,hsa-miR-6835–5p,hsa-miR-7157–5p.There is a growing body of evidence suggesting the utility of miRNAs as biomarkers for nephrotic syndrome (NS). The enrichment and co expression analysis suggest involved in the progression of various cancers especially BRACA1 AND BRACA2. MiRNA-based target prediction is an emerging tool to forecast progressive markers for identifying steroid-resistant nephrotic syndrome (SRNS) patients and evaluating the efficacy of drugs used in treatment. Based on our analysis, cancer associated genes and miRNAs expressed more. Nevertheless, further analysis is imperative to uncover unknown factors causing NS and its association with cancer progression and development.