Aims: This study aimed to identify key genes and pathways involved in the pathogenesis of renal ischemia–reperfusion injury (IRI)-induced acute kidney injury (AKI) using an integrative bioinformatics approach.
Methods: Publicly available gene expression profiles from two independent rat kidney microarray datasets (GSE27274 and GSE58438) were analyzed to identify differentially expressed genes (DEGs) between IRI and control groups. DEGs with an adjusted p-value <0.05 and |log2 fold change| >1 were considered significant. Common DEGs from both datasets were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Protein–protein interaction networks were constructed using STRING and cytoscape, and hub genes were identified with the maximal clique centrality algorithm via the CytoHubba plugin.
Results: A total of 189 overlapping DEGs were identified (117 upregulated, 72 downregulated). Upregulated DEGs were enriched in pathways associated with glutathione metabolism and oxidative stress response, while downregulated DEGs were associated with DNA replication and inflammatory signaling. Hub genes for upregulated DEGs included Gclc, Gclm, Anpep, and Gss, while downregulated hub genes included Mcm2, Gins1, Pcna, and Tnf. These genes represent potential regulatory nodes in the renal IRI response.
Conclusion: This study highlights redox regulation, amino acid metabolism, immune modulation, and cell cycle arrest as major components in the molecular pathogenesis of renal IRI. The identified hub genes may serve as potential diagnostic biomarkers and therapeutic targets. These findings provide a framework for future experimental validation and drug development efforts in AKI caused by IRI.
Acute kidney injury ischemia-reperfusion injury hub genes oxidative stress bioinformatics
Aims: This study aimed to identify key genes and pathways involved in the pathogenesis of renal ischemia–reperfusion injury (IRI)-induced acute kidney injury (AKI) using an integrative bioinformatics approach.
Methods: Publicly available gene expression profiles from two independent rat kidney microarray datasets (GSE27274 and GSE58438) were analyzed to identify differentially expressed genes (DEGs) between IRI and control groups. DEGs with an adjusted p-value <0.05 and |log2 fold change| >1 were considered significant. Common DEGs from both datasets were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Protein–protein interaction networks were constructed using STRING and cytoscape, and hub genes were identified with the maximal clique centrality algorithm via the CytoHubba plugin.
Results: A total of 189 overlapping DEGs were identified (117 upregulated, 72 downregulated). Upregulated DEGs were enriched in pathways associated with glutathione metabolism and oxidative stress response, while downregulated DEGs were associated with DNA replication and inflammatory signaling. Hub genes for upregulated DEGs included Gclc, Gclm, Anpep, and Gss, while downregulated hub genes included Mcm2, Gins1, Pcna, and Tnf. These genes represent potential regulatory nodes in the renal IRI response.
Conclusion: This study highlights redox regulation, amino acid metabolism, immune modulation, and cell cycle arrest as major components in the molecular pathogenesis of renal IRI. The identified hub genes may serve as potential diagnostic biomarkers and therapeutic targets. These findings provide a framework for future experimental validation and drug development efforts in AKI caused by IRI.
Acute kidney injury ischemia-reperfusion injury hub genes oxidative stress bioinformatics
This study does not contain any clinical or experimental research data obtained directly from human participants or animal subjects by the author. All data in this study were obtained from publicly available databases. The author of this article declares that the materials and methods used in their research did not require ethics committee approval and/or any special legal permission.
Birincil Dil | İngilizce |
---|---|
Konular | Nefroloji, Tıbbi Genetik (Kanser Genetiği hariç) |
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 28 Temmuz 2025 |
Gönderilme Tarihi | 4 Haziran 2025 |
Kabul Tarihi | 7 Temmuz 2025 |
Yayımlandığı Sayı | Yıl 2025 Cilt: 7 Sayı: 4 |
Üniversitelerarası Kurul (ÜAK) Eşdeğerliği: Ulakbim TR Dizin'de olan dergilerde yayımlanan makale [10 PUAN] ve 1a, b, c hariç uluslararası indekslerde (1d) olan dergilerde yayımlanan makale [5 PUAN]
- Dahil olduğumuz İndeksler (Dizinler) ve Platformlar sayfanın en altındadır.
Not: Dergimiz WOS indeksli değildir ve bu nedenle Q olarak sınıflandırılmamaktadır.
Yüksek Öğretim Kurumu (YÖK) kriterlerine göre yağmacı/şüpheli dergiler hakkındaki kararları ile yazar aydınlatma metni ve dergi ücretlendirme politikasını tarayıcınızdan indirebilirsiniz. https://dergipark.org.tr/tr/journal/3449/page/10809/update
Dergi Dizin ve Platformları
TR Dizin ULAKBİM, Google Scholar, Crossref, Worldcat (OCLC), DRJI, EuroPub, OpenAIRE, Turkiye Citation Index, Turk Medline, ROAD, ICI World of Journal's, Index Copernicus, ASOS Index, General Impact Factor, Scilit.