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Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury
BACKGROUND: Oxidative stress is the primary cause of ischemia-reperfusion injury (IRI) in kidney transplantation, leading to delayed graft function (DGF) and implications on patient health. Necroptosis is believed to play a role in renal IRI. This research presents a comprehensive analysis of necrop...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641517/ https://www.ncbi.nlm.nih.gov/pubmed/37965311 http://dx.doi.org/10.3389/fimmu.2023.1279603 |
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author | Li, Shuai Zhang, Weixun Hu, Xiaopeng |
author_facet | Li, Shuai Zhang, Weixun Hu, Xiaopeng |
author_sort | Li, Shuai |
collection | PubMed |
description | BACKGROUND: Oxidative stress is the primary cause of ischemia-reperfusion injury (IRI) in kidney transplantation, leading to delayed graft function (DGF) and implications on patient health. Necroptosis is believed to play a role in renal IRI. This research presents a comprehensive analysis of necroptosis-related genes and their functional implications in the context of IRI in renal transplantation. METHODS: The necroptosis-related differentially expressed genes (NR-DEGs) were identified using gene expression data from pre- and post-reperfusion renal biopsies, and consensus clustering analysis was performed to distinguish necroptosis-related clusters. A predictive model for DGF was developed based on the NR-DEGs and patients were divided into high- and low-risk groups. We investigated the differences in functional enrichment and immune infiltration between different clusters and risk groups and further validated them in single-cell RNA-sequencing (scRNA-seq) data. Finally, we verified the expression changes of NR-DEGs in an IRI mouse model. RESULTS: Five NR-DEGs were identified and were involved in various biological processes. The renal samples were further stratified into two necroptosis-related clusters (C1 and C2) showing different occurrences of DGF. The predictive model had a reliable performance in identifying patients at higher risk of DGF with the area under the curve as 0.798. Additionally, immune infiltration analysis indicated more abundant proinflammatory cells in the high-risk group, which was also found in C2 cluster with more DGF patients. Validation of NR-DEG in scRNA-seq data further supported their involvement in immune cells. Lastly, the mouse model validated the up-regulation of NR-DEGs after IR and indicated the correlations with kidney function markers. CONCLUSIONS: Our research provides valuable insights into the identification and functional characterization of NR-DEGs in the context of renal transplantation and sheds light on their involvement in immune responses and the progression of IRI and DGF. |
format | Online Article Text |
id | pubmed-10641517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106415172023-11-14 Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury Li, Shuai Zhang, Weixun Hu, Xiaopeng Front Immunol Immunology BACKGROUND: Oxidative stress is the primary cause of ischemia-reperfusion injury (IRI) in kidney transplantation, leading to delayed graft function (DGF) and implications on patient health. Necroptosis is believed to play a role in renal IRI. This research presents a comprehensive analysis of necroptosis-related genes and their functional implications in the context of IRI in renal transplantation. METHODS: The necroptosis-related differentially expressed genes (NR-DEGs) were identified using gene expression data from pre- and post-reperfusion renal biopsies, and consensus clustering analysis was performed to distinguish necroptosis-related clusters. A predictive model for DGF was developed based on the NR-DEGs and patients were divided into high- and low-risk groups. We investigated the differences in functional enrichment and immune infiltration between different clusters and risk groups and further validated them in single-cell RNA-sequencing (scRNA-seq) data. Finally, we verified the expression changes of NR-DEGs in an IRI mouse model. RESULTS: Five NR-DEGs were identified and were involved in various biological processes. The renal samples were further stratified into two necroptosis-related clusters (C1 and C2) showing different occurrences of DGF. The predictive model had a reliable performance in identifying patients at higher risk of DGF with the area under the curve as 0.798. Additionally, immune infiltration analysis indicated more abundant proinflammatory cells in the high-risk group, which was also found in C2 cluster with more DGF patients. Validation of NR-DEG in scRNA-seq data further supported their involvement in immune cells. Lastly, the mouse model validated the up-regulation of NR-DEGs after IR and indicated the correlations with kidney function markers. CONCLUSIONS: Our research provides valuable insights into the identification and functional characterization of NR-DEGs in the context of renal transplantation and sheds light on their involvement in immune responses and the progression of IRI and DGF. Frontiers Media S.A. 2023-10-27 /pmc/articles/PMC10641517/ /pubmed/37965311 http://dx.doi.org/10.3389/fimmu.2023.1279603 Text en Copyright © 2023 Li, Zhang and Hu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Li, Shuai Zhang, Weixun Hu, Xiaopeng Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
title | Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
title_full | Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
title_fullStr | Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
title_full_unstemmed | Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
title_short | Comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
title_sort | comprehensive analysis of necroptosis-related genes in renal ischemia-reperfusion injury |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641517/ https://www.ncbi.nlm.nih.gov/pubmed/37965311 http://dx.doi.org/10.3389/fimmu.2023.1279603 |
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