ArticleScientific reports2025
Identification of mitophagy-related genes with diagnostic value in acute rejection following kidney transplantation using bioinformatics analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Exploration of potential mechanisms and biomarkers related to ERS-associated RCD in steroid-induced osteonecrosis of the femoral head based on bioinformatics, with experimental validation.Frontiers in endocrinology · 2026Article
- Monitoring mitochondrial function in peripheral T cells to assess immune status and graft health after kidney transplantation.Frontiers in immunology · 2025Article
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5 authors.
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Abstract
Acute rejection (AR) after kidney transplantation, is a common and serious complication that occurs when the recipient's immune system attacks the graft, and the specific genes and molecular mechanisms underlying the role of mitophagy are still unclear. This study integrated two transcriptomic datasets (GSE129166 and GSE25902) from the GEO database. Thirty differential mitophagy-related genes were identified by intersecting differentially expressed genes, module genes obtained through weighted gene co-expression network analysis and mitophagy-related genes. Functional enrichment analysis uncovered several biological processes and signaling pathways associated with these genes. Four candidate genes including CCND1, ZC3H15, RPL38, and ARPC4, were further identified through Random Forest and Support Vector Machine with recursive feature elimination. Internal, external datasets and a nomogram confirmed they could effectively predict AR. Moreover, these genes significantly correlated with the infiltration of multiple immune cells. Differential expressions of the four genes were also validated in patient's peripheral blood and AR mice. These four mitophagy-related genes may be novel biomarkers for predicting the occurrence and diagnosis of AR.
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