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Related Experiment Video

Updated: Mar 15, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
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Crucial genes associated with diabetic nephropathy explored by microarray analysis.

Zhikui Wang1, Zhaoxia Wang2, Zhongqi Zhou1

  • 1Department of Nephrology, Linyi People's Hospital, No.27 Jiefang Road, Lanshan District, Linyi, Shandong, 276003, China.

BMC Nephrology
|September 11, 2016
PubMed
Summary

Diabetic nephropathy (DN) progression involves genes related to cytoskeleton organization, cardiomyopathy, and complement/coagulation cascades. These pathways are regulated by microRNAs and transcription factors, offering new insights into DN pathogenesis.

Keywords:
Diabetic nephropathyDifferentially expressed geneMicroRNANetworkTranscription factor

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Diabetic nephropathy (DN) is a serious complication of diabetes mellitus.
  • Understanding the molecular mechanisms underlying DN pathogenesis is crucial for developing effective treatments.

Purpose of the Study:

  • To identify key genes associated with diabetic nephropathy (DN).
  • To elucidate the functional roles of these genes in DN pathogenesis.
  • To explore regulatory networks involving microRNAs (miRNAs) and transcription factors (TFs) in DN.

Main Methods:

  • Utilized Gene Expression Omnibus (GEO) dataset GSE1009 comprising diabetic and healthy glomeruli samples.
  • Identified differentially expressed genes (DEGs) using the LIMMA package.
  • Performed Gene Ontology (GO) and KEGG pathway enrichment analyses via DAVID database.
  • Predicted regulatory miRNAs and TFs using GeneCoDis and visualized networks with Cytoscape.
  • Validated DEG expression using dataset GSE30528.

Main Results:

  • Identified 14 upregulated and 430 downregulated DEGs.
  • Key DEGs implicated in cytoskeleton organization (e.g., MTSS1, CALD1, ACTN4).
  • DEGs associated with arrhythmogenic right ventricular cardiomyopathy and complement/coagulation cascades identified.
  • Identified regulatory miRNAs (e.g., Hsa-miR-33a) and TFs (e.g., LEF1) modulating DEGs.
  • 143 DEGs confirmed in an independent dataset (GSE30528).

Conclusions:

  • Genes involved in cytoskeleton organization, cardiomyopathy, and complement/coagulation cascades are significantly implicated in DN progression.
  • MicroRNAs and transcription factors play a crucial role in regulating these key genes in DN.
  • Findings provide a deeper understanding of DN pathogenesis and potential therapeutic targets.