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Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation
BACKGROUND: T cell-mediated rejection is an important factor affecting early transplant kidney survival. Ferroptosis has been shown to play a pathogenic role in a variety of diseases, which was not reported in TCMR. Here we developed a model for assessing activation of ferroptosis-related genes in T...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850582/ https://www.ncbi.nlm.nih.gov/pubmed/36658573 http://dx.doi.org/10.1186/s12920-023-01440-y |
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author | Zhang, Weixun Gong, Lian Zhang, Di Hu, Xiaopeng |
author_facet | Zhang, Weixun Gong, Lian Zhang, Di Hu, Xiaopeng |
author_sort | Zhang, Weixun |
collection | PubMed |
description | BACKGROUND: T cell-mediated rejection is an important factor affecting early transplant kidney survival. Ferroptosis has been shown to play a pathogenic role in a variety of diseases, which was not reported in TCMR. Here we developed a model for assessing activation of ferroptosis-related genes in TCMR to find a better screening method and explore the contribution of ferroptosis in TCMR. METHODS: We performed unsupervised consensus clustering according to expression of ferroptosis-related genes based on RNA-seq data from kidney transplant biopsies, and developed an assessment model characterized by ferroptosis gene expression through PCA, which was evaluated in multiple external datasets as well as blood and urine samples. Pathway enrichment and immune cell infiltration analysis were used to explore the possible targets and pathways involved in ferroptosis and TCMR. RESULTS: A ferroptosis gene expression scoring model was established. The diagnostic specificity and sensitivity of TCMR in renal biopsy samples were both over 80%, AUC = 0.843, and AUC was around 0.8 in multi-dataset validation, and was also close to 0.7 in blood and urine samples, while in predicting of graft survival at 3 years, scoring model had a good prognostic effect as well. Pathway enrichment and PPI network speculated that TLR4, CD44, IFNG, etc. may be the key genes of ferroptosis in TCMR. CONCLUSIONS: Ferroptosis scoring model could better diagnose TCMR and predict graft loss, and could be used as a potential screening method in blood and urine samples. We speculate that ferroptosis plays an important role in TCMR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01440-y. |
format | Online Article Text |
id | pubmed-9850582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98505822023-01-20 Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation Zhang, Weixun Gong, Lian Zhang, Di Hu, Xiaopeng BMC Med Genomics Research BACKGROUND: T cell-mediated rejection is an important factor affecting early transplant kidney survival. Ferroptosis has been shown to play a pathogenic role in a variety of diseases, which was not reported in TCMR. Here we developed a model for assessing activation of ferroptosis-related genes in TCMR to find a better screening method and explore the contribution of ferroptosis in TCMR. METHODS: We performed unsupervised consensus clustering according to expression of ferroptosis-related genes based on RNA-seq data from kidney transplant biopsies, and developed an assessment model characterized by ferroptosis gene expression through PCA, which was evaluated in multiple external datasets as well as blood and urine samples. Pathway enrichment and immune cell infiltration analysis were used to explore the possible targets and pathways involved in ferroptosis and TCMR. RESULTS: A ferroptosis gene expression scoring model was established. The diagnostic specificity and sensitivity of TCMR in renal biopsy samples were both over 80%, AUC = 0.843, and AUC was around 0.8 in multi-dataset validation, and was also close to 0.7 in blood and urine samples, while in predicting of graft survival at 3 years, scoring model had a good prognostic effect as well. Pathway enrichment and PPI network speculated that TLR4, CD44, IFNG, etc. may be the key genes of ferroptosis in TCMR. CONCLUSIONS: Ferroptosis scoring model could better diagnose TCMR and predict graft loss, and could be used as a potential screening method in blood and urine samples. We speculate that ferroptosis plays an important role in TCMR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01440-y. BioMed Central 2023-01-19 /pmc/articles/PMC9850582/ /pubmed/36658573 http://dx.doi.org/10.1186/s12920-023-01440-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Weixun Gong, Lian Zhang, Di Hu, Xiaopeng Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation |
title | Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation |
title_full | Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation |
title_fullStr | Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation |
title_full_unstemmed | Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation |
title_short | Ferroptosis related gene signature in T cell-mediated rejection after kidney transplantation |
title_sort | ferroptosis related gene signature in t cell-mediated rejection after kidney transplantation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850582/ https://www.ncbi.nlm.nih.gov/pubmed/36658573 http://dx.doi.org/10.1186/s12920-023-01440-y |
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