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Identification and characterization of two immune-related subtypes in human chronic kidney disease.
Fang, Xiangdong; Chen, Yanxia; Chen, Yan; Qiu, Minzi; Huang, Jinjing; Ke, Ben.
Affiliation
  • Fang X; Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
  • Chen Y; Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
  • Chen Y; Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
  • Qiu M; Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
  • Huang J; Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
  • Ke B; Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China. Electronic address: keben-1989125@163.com.
Transpl Immunol ; 82: 101983, 2024 02.
Article in En | MEDLINE | ID: mdl-38184215
ABSTRACT

BACKGROUND:

Immune response plays a vital role in the initiation and development of chronic kidney disease (CKD). Detailed mechanisms and specific immune-related biomarkers of CKD need further clarification. We aimed to identify and characterize immune-related infiltrates that are implicated in the CKD development using a bioinformatics method.

METHODS:

The expression profiles of GSE66494 dataset were acquired from the Gene Expression Omnibus (GEO) database. Patients with CKD were divided into low- vs. high-immune subtypes based on their immune score. Based on such analysis, we identified differentially expressed genes (DEGs) of low- and high-immune subtypes. The weight gene co-expression network analysis (WGCNA) was used to identify immune-associated modules between two subtypes. The gene set enriched (GSEA) and variation (GSVA) analyses were correlated with their functional types using the molecular complex detection (MCODE) method. Finally, the immune infiltration landscape between subtypes was revealed using the xCell algorithm.

RESULTS:

The total number of 131 differentially expressed immune-related genes (DEIRGs) were identified between low- vs. high-immune subtypes. Out of them GSEA/GSVA results identified and enriched immune- and inflammation-related pathways. In particular, GSVA results indicated that immune-related pathways were activated in high-immune subgroups. The core DEIRG genes that were identified to be involved in CKD development included the protein tyrosine phosphatase receptor type C (PTPRC; also known as CD45) regulating cell growth and differentiation, an early activation marker (CD69), co-receptor for T cell receptor (CD8A), and T cell co-stimulatory signal (CD28). These core DEIRD genes were further verified by the GSE96804 dataset. We also found a higher proportion of immune cells infiltrating the high-immune subgroup. Furthermore, the four core genes were positively correlated with most immune cell types.

CONCLUSION:

Among 131 DEIRG genes, four genes (PTPRC, CD69, CD8A, and CD28) were identified as potential biomarkers associated with the immune cell infiltration in CKD patients, which may provide a novel insight for immunotherapy for CKD.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: CD28 Antigens / Renal Insufficiency, Chronic Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Transpl Immunol Journal subject: ALERGIA E IMUNOLOGIA / TRANSPLANTE Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: CD28 Antigens / Renal Insufficiency, Chronic Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Transpl Immunol Journal subject: ALERGIA E IMUNOLOGIA / TRANSPLANTE Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands