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Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation
BACKGROUND: Liver transplantation (LT) is the most effective treatment for patients with end-stage liver diseases, but acute rejection is still a major concern. However, the mechanisms underlying rejection remain unclear. Biomarkers are lacking for predicting rejection and long-term survival after L...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154463/ https://www.ncbi.nlm.nih.gov/pubmed/32309368 http://dx.doi.org/10.21037/atm.2020.01.59 |
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author | Jia, Junjun Nie, Yu Geng, Lei Li, Jianhui Liu, Jimin Peng, Yifan Huang, Junjie Xie, Haiyang Zhou, Lin Zheng, Shu-Sen |
author_facet | Jia, Junjun Nie, Yu Geng, Lei Li, Jianhui Liu, Jimin Peng, Yifan Huang, Junjie Xie, Haiyang Zhou, Lin Zheng, Shu-Sen |
author_sort | Jia, Junjun |
collection | PubMed |
description | BACKGROUND: Liver transplantation (LT) is the most effective treatment for patients with end-stage liver diseases, but acute rejection is still a major concern. However, the mechanisms underlying rejection remain unclear. Biomarkers are lacking for predicting rejection and long-term survival after LT. METHODS: Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics was performed between acute cellular rejection (ACR) and non-rejection recipients. The molecular signature differences and potential biomarkers were identified by comprehensive bioinformatics. Heme oxygenase-1 (HO-1) expression and its association with clinical outcomes were investigated by tissue microarrays consisted of liver specimens from recipients with (n=80) and without ACR (n=57). RESULTS: A total of 287 differentially expressed proteins (DEPs) were identified. Pathway analysis revealed that T/B cell activation, integrin/inflammation signaling pathway, etc. were significantly correlated with ACR. Through comprehensive bioinformatics, HO-1 was identified as a candidate potential biomarker for ACR. In tissue microarray (TMA) analysis, HO-1 expression was significantly higher in ACR group than in non-rejection group (P<0.01). Preoperative Child-Pugh and Meld scores were significantly higher in recipients with high HO-1 expression (P<0.01). In a mean 5-year follow-up, recipients with high HO-1 expression were associated with a shorter overall survival (P<0.05). Further multivariate analyses indicated that HO-1 could be an independent adverse prognostic factor for post-transplant survival (P=0.005). CONCLUSIONS: A total of 287 DEPs were identified, providing a set of targets for further research. Recipients with high preoperative HO-1 expression were associated with ACR. HO-1 may be used as a potential biomarker for predicting the development of post-transplant allograft ACR and recipient’s survival. |
format | Online Article Text |
id | pubmed-7154463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-71544632020-04-17 Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation Jia, Junjun Nie, Yu Geng, Lei Li, Jianhui Liu, Jimin Peng, Yifan Huang, Junjie Xie, Haiyang Zhou, Lin Zheng, Shu-Sen Ann Transl Med Original Article BACKGROUND: Liver transplantation (LT) is the most effective treatment for patients with end-stage liver diseases, but acute rejection is still a major concern. However, the mechanisms underlying rejection remain unclear. Biomarkers are lacking for predicting rejection and long-term survival after LT. METHODS: Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics was performed between acute cellular rejection (ACR) and non-rejection recipients. The molecular signature differences and potential biomarkers were identified by comprehensive bioinformatics. Heme oxygenase-1 (HO-1) expression and its association with clinical outcomes were investigated by tissue microarrays consisted of liver specimens from recipients with (n=80) and without ACR (n=57). RESULTS: A total of 287 differentially expressed proteins (DEPs) were identified. Pathway analysis revealed that T/B cell activation, integrin/inflammation signaling pathway, etc. were significantly correlated with ACR. Through comprehensive bioinformatics, HO-1 was identified as a candidate potential biomarker for ACR. In tissue microarray (TMA) analysis, HO-1 expression was significantly higher in ACR group than in non-rejection group (P<0.01). Preoperative Child-Pugh and Meld scores were significantly higher in recipients with high HO-1 expression (P<0.01). In a mean 5-year follow-up, recipients with high HO-1 expression were associated with a shorter overall survival (P<0.05). Further multivariate analyses indicated that HO-1 could be an independent adverse prognostic factor for post-transplant survival (P=0.005). CONCLUSIONS: A total of 287 DEPs were identified, providing a set of targets for further research. Recipients with high preoperative HO-1 expression were associated with ACR. HO-1 may be used as a potential biomarker for predicting the development of post-transplant allograft ACR and recipient’s survival. AME Publishing Company 2020-03 /pmc/articles/PMC7154463/ /pubmed/32309368 http://dx.doi.org/10.21037/atm.2020.01.59 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Jia, Junjun Nie, Yu Geng, Lei Li, Jianhui Liu, Jimin Peng, Yifan Huang, Junjie Xie, Haiyang Zhou, Lin Zheng, Shu-Sen Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
title | Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
title_full | Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
title_fullStr | Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
title_full_unstemmed | Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
title_short | Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
title_sort | identification of ho-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154463/ https://www.ncbi.nlm.nih.gov/pubmed/32309368 http://dx.doi.org/10.21037/atm.2020.01.59 |
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