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Identification of Biomarkers for Predicting Allograft Rejection following Kidney Transplantation Based on the Weighted Gene Coexpression Network Analysis.

ABSTRACT: Kidney transplantation is the promising treatment of choice for chronic kidney disease and end-stage kidney disease and can effectively improve the quality of life and survival rates of patients. However, the allograft rejection following kidney transplantation has a negative impact on transplant success. Therefore, the present study is aimed at screening novel biomarkers for the diagnosis and treatment of allograft rejection following kidney transplantation for improving long-term transplant outcome. In the study, a total of 8 modules and 3065 genes were identified by WGCNA based on the GSE46474 and GSE15296 dataset from the Gene Expression Omnibus (GEO) database. Moreover, the results of Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that these genes were mainly involved in the immune-related biological processes and pathways. Thus, 317 immune-related genes were selected for further analysis. Finally, 5 genes (including CD200R1, VAV2, FASLG, SH2D1B, and RAP2B) were identified as the candidate biomarkers based on the ROC and difference analysis. Furthermore, we also found that in the 5 biomarkers an interaction might exist among each other in the protein and transcription level. Taken together, our study identified CD200R1, VAV2, FASLG, SH2D1B, and RAP2B as the candidate diagnostic biomarkers, which might contribute to the prevention and treatment of allograft rejection following kidney transplantation.

SUBMITTER: Wang LJ

PROVIDER: S-EPMC8342162 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Low levels of plasma adiponectin, an adipocytokine that possesses anti-inflammatory and antiatherogenic properties, frequently observed among obese subjects correlate with higher prevalence of several cardiovascular diseases. This study investigated whether adiponectin modulates allograft rejection in major histocompatibility complex class II-mismatched cardiac transplants.We heterotopically transplanted Bm12 allografts into adiponectin-deficient (APN-/-, C57BL/6 background) or wild-type (APN+/+) mice. Some APN-/- mice received adiponectin reconstitution by adenovirus. Histologic analyses assessed allograft rejection, and real-time reverse-transcriptase polymerase chain reaction evaluated the genes for cytokines/chemokines associated with the immune and inflammatory responses. In addition, we tested the effect of adiponectin on proliferation and cytokine/chemokine production in mouse T lymphocytes stimulated in vitro with anti-CD3 antibodies.Allografts transplanted to APN-/- mice showed severe acute rejection relative to transplants in APN+/+ hosts accompanied by increased accumulation of CD4- and CD8-positive T lymphocytes and Mac3-positive macrophages. Adiponectin provision by adenovirus in APN-/- mice reversed these exacerbated responses to allografting. The rejected allografts in APN-/- mice contained significantly higher levels of tumor necrosis factor-alpha, interferon-gamma, and regulated on activation normal t expressed and presumably secreted. Moreover, adiponectin significantly suppressed proliferation and production of tumor necrosis factor-alpha, interferon-gamma, regulated on activation normal t expressed and presumably secreted, monocyte chemotactic protein-1, and interferon-gamma inducible protein-10 in mouse T lymphocytes stimulated in vitro with anti-CD3 antibodies.These observations provide new mechanistic insight into immunoregulation in allograft recipients relative to obesity, an increasingly prevalent risk factor. Adiponectin may offer a new therapeutic target for allograft rejection after cardiac transplantation.

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Identification of Biomarkers for Predicting Allograft Rejection following Kidney Transplantation Based on the Weighted Gene Coexpression Network Analysis.

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