NET-Related Gene as Potential Diagnostic Biomarkers for Diabetic Tubulointerstitial Injury.

Publisher: Hindawi Limited Country of Publication: England NLM ID: 101605237 Publication Model: eCollection Cited Medium: Internet ISSN: 2314-6753 (Electronic) NLM ISO Abbreviation: J Diabetes Res Subsets: MEDLINE

Publication: <2019>-: London, United Kingdom : Hindawi Limited
Original Publication: Nasr City, Cairo : Hindawi Publishing Corporation, [2013]-

Biomarkers*/metabolism ; Diabetic Nephropathies*/genetics ; Diabetic Nephropathies*/diagnosis ; Diabetic Nephropathies*/metabolism; Humans ; Databases, Genetic ; Extracellular Traps/metabolism ; Gene Expression Profiling ; Gene Regulatory Networks ; Glomerular Filtration Rate ; Nephritis, Interstitial/genetics ; Nephritis, Interstitial/diagnosis

Background: Tubulointerstitial injury plays a pivotal role in the progression of diabetic kidney disease (DKD), yet the link between neutrophil extracellular traps (NETs) and diabetic tubulointerstitial injury is still unclear. Methods: We analyzed microarray data (GSE30122) from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) associated with DKD's tubulointerstitial injury. Functional and pathway enrichment analyses were conducted to elucidate the involved biological processes (BP) and pathways. Weighted gene coexpression network analysis (WGCNA) identified modules associated with DKD. LASSO regression and random forest selected NET-related characteristic genes (NRGs) related to DKD tubulointerstitial injury. Results: Eight hundred ninety-eight DEGs were identified from the GSE30122 dataset. A significant module associated with diabetic tubulointerstitial injury overlapped with 15 NRGs. The hub genes, CASP1 and LYZ, were identified as potential biomarkers. Functional enrichment linked these genes with immune cell trafficking, metabolic alterations, and inflammatory responses. NRGs negatively correlated with glomerular filtration rate (GFR) in the Neph v5 database. Immunohistochemistry (IHC) validated increased NRGs in DKD tubulointerstitial injury. Conclusion: Our findings suggest that the CASP1 and LYZ genes may serve as potential diagnostic biomarkers for diabetic tubulointerstitial injury. Furthermore, NRGs involved in diabetic tubulointerstitial injury could emerge as prospective targets for the diagnosis and treatment of DKD.
Competing Interests: The authors declare no conflicts of interest.
(Copyright © 2024 Yufeng Liang et al.)

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Keywords: NETosis; bioinformatics; diabetic kidney disease; immune characteristics; tubulointerstitial injury

0 (Biomarkers)

Date Created: 20240520 Date Completed: 20240520 Latest Revision: 20240722

20240722

PMC11101254

10.1155/2024/4815488

38766319