Back to Search
Start Over
Bioinformatics analysis identifies immune-related gene signatures and subtypes in diabetic nephropathy
- Source :
- Frontiers in Endocrinology, Vol 13 (2022)
- Publication Year :
- 2022
- Publisher :
- Frontiers Media S.A., 2022.
-
Abstract
- BackgroundSystemic inflammation and immune response are involved in the pathogenesis of diabetic nephropathy (DN). However, the specific immune-associated signature during DN development is unclear. Our study aimed to reveal the roles of immune-related genes during DN progression.MethodsThe GSE30529 and GSE30528 datasets were acquired from the Gene Expression Omnibus (GEO) database. Then, the intersection between differentially expressed genes (DEGs) and immune score-related genes (ISRGs) was screened. Subsequently, functional enrichment analyses were performed. The different immune phenotype-related subgroups were finally divided using unsupervised clustering. The core genes were identified by WGCNA and the protein-protein interaction (PPI) network. xCell algorithm was applied to assess the proportion of immune cell infiltration.Results92 immune score-related DEGs (ISRDEGs) were identified, and these genes were enriched in inflammation- and immune-associated pathways. Furthermore, two distinct immune-associated subgroups (C1 and C2) were identified, and the C1 subgroup exhibited activated immune pathways and a higher percentage of immune cells compared to the C2 subgroup. Two core genes (LCK and HCK) were identified and all up-regulated in DN, and the expressions were verified using GSE30122, GSE142025, and GSE104954 datasets. GSEA indicated the core genes were mainly enriched in immune-related pathways. Correlation analysis indicated LCK and HCK expressions were positively correlated with aDC, CD4+ Tem, CD8+T cells, CD8+ Tem, and mast cells.ConclusionsWe identified two immune-related genes and two immune-associated subgroups, which might help to design more precise tailored immunotherapy for DN patients.
Details
- Language :
- English
- ISSN :
- 16642392
- Volume :
- 13
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Endocrinology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.992d7ff3c7c490bbe5461147ed92919
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fendo.2022.1048139