An In-Silico Approach to Identify Therapeutic Target and Markers Associated with Diabetic Nephropathy

Title:An In-Silico Approach to Identify Therapeutic Target and Markers Associated with Diabetic Nephropathy

Volume: 20

Author(s): Bhuvnesh Rai, Pramod Kumar Maurya, Medha Srivastava, Prabhakar Mishra, Mehar Hasan Asif and Swasti Tiwari*

Affiliation:

• Department of Molecular Medicine and Biotechnology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India

Keywords: Renal transcriptome, diagnosis, kidney disease in diabetes, renal biopsy, nephropathy, cytokines

Abstract: Background: Renal disease in T2DM could arise independently of hyperglycemia, aka non diabetic kidney disease. Its prevalence ranges from 33% to 72.5% among T2DM patients. Specific molecular signatures that distinguish Diabetic Nephropathy from NDKD (FSGS) in T2DM might provide new targets for CKD management.

Methods: Five original GEO microarray DN and FSGS datasets were evaluated (GSE111154, GSE96804, GSE125779, GSE129973 and GSE121233). Each of the three groups (DN, FSGS, and Controls) had equal renal transcriptome data (n=32) included in the analysis to eliminate bias. The DEGs were identified using TAC4.0. Pathway analysis was performed on the discovered genes aligned to official gene symbols using Reactome, followed by functional gene enrichment analysis using Funrich, Enrichr. STRING and Network analyst investigated PPI, followed by Webgestalt's pathway erichment. Finally, using the Targetscan 7.0 and DIANA tools, filtered differential microRNAs downregulated in DN were evaluated for target identification.

Result: Between the three groups, DN, FSGS, and Control, a total of 194 DEGs with foldchange,> 2&<-2 and P-value0.01 were found in the renal transcriptome. In comparison to control, 45 genes were elevated, particularly in DN, whereas 43 were upregulated specifically in FSGS. DN datasets were compared to FSGS in a separate analysis. FABP4, EBF1, ADIRF, and ART4 were shown to be among the substantially up-regulated genes unique to DN in both analyses. The transcriptional regulation of white adipocytes was discovered by pathway analysis.

Conclusion: The molecular markers revealed might be employed as specific targets in the aetiology of DN, as well as in T2DM patients' therapeutic care.

Cite this article as:

Rai Bhuvnesh, Maurya Kumar Pramod, Srivastava Medha, Mishra Prabhakar, Asif Hasan Mehar and Tiwari Swasti*, An In-Silico Approach to Identify Therapeutic Target and Markers Associated with Diabetic Nephropathy, Current Diabetes Reviews 2024; 20 () : e100622205872 . https://dx.doi.org/10.2174/1573399819666220610191935

DOI https://dx.doi.org/10.2174/1573399819666220610191935	Print ISSN 1573-3998
Publisher Name Bentham Science Publisher	Online ISSN 1875-6417