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A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation
Post-transplant liver fibrosis (PTLF) is a common and severe complication in liver recipients. In this study, we assessed the impact of donor liver genetics on the development of PTLF. A total of 232 patients undergoing liver transplantation were included. Twenty-two single nucleotide polymorphisms...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835018/ https://www.ncbi.nlm.nih.gov/pubmed/33291080 http://dx.doi.org/10.18632/aging.202302 |
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author | Wang, Chao Zhang, Xueyou Ling, Qi Zheng, Shusen Xu, Xiao |
author_facet | Wang, Chao Zhang, Xueyou Ling, Qi Zheng, Shusen Xu, Xiao |
author_sort | Wang, Chao |
collection | PubMed |
description | Post-transplant liver fibrosis (PTLF) is a common and severe complication in liver recipients. In this study, we assessed the impact of donor liver genetics on the development of PTLF. A total of 232 patients undergoing liver transplantation were included. Twenty-two single nucleotide polymorphisms (SNPs) associated with liver fibrosis were analyzed. Univariate analysis revealed seven donor SNPs to be associated with PTLF. In a multivariate analysis, independent risk factors of PTLF were genetic variation of donor GRP78 rs430397 (OR = 8.99, p = 0.003), GSTP1 rs1695 (OR = 0.13, p = 0.021), miRNA-196a rs12304647 (OR = 16.01, p =0.001), and TNF-α rs1800630 (OR = 79.78, p = 0.001); blood tacrolimus levels at maintenance > 7 ng/ml (OR =7.48, p <0.001); and post-transplant diabetes mellitus (OR = 7.50, p = 0.001). A predictive model that included donor SNPs showed better prognostic ability for PTLF than a model with only clinical parameters (AUROC: 0.863 vs 0.707, P < 0.001). Given that donor gene SNPs are associated with an increased risk of PTLF, this model integrated with donor gene polymorphisms may help clinicians predict PTLF. |
format | Online Article Text |
id | pubmed-7835018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-78350182021-02-03 A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation Wang, Chao Zhang, Xueyou Ling, Qi Zheng, Shusen Xu, Xiao Aging (Albany NY) Research Paper Post-transplant liver fibrosis (PTLF) is a common and severe complication in liver recipients. In this study, we assessed the impact of donor liver genetics on the development of PTLF. A total of 232 patients undergoing liver transplantation were included. Twenty-two single nucleotide polymorphisms (SNPs) associated with liver fibrosis were analyzed. Univariate analysis revealed seven donor SNPs to be associated with PTLF. In a multivariate analysis, independent risk factors of PTLF were genetic variation of donor GRP78 rs430397 (OR = 8.99, p = 0.003), GSTP1 rs1695 (OR = 0.13, p = 0.021), miRNA-196a rs12304647 (OR = 16.01, p =0.001), and TNF-α rs1800630 (OR = 79.78, p = 0.001); blood tacrolimus levels at maintenance > 7 ng/ml (OR =7.48, p <0.001); and post-transplant diabetes mellitus (OR = 7.50, p = 0.001). A predictive model that included donor SNPs showed better prognostic ability for PTLF than a model with only clinical parameters (AUROC: 0.863 vs 0.707, P < 0.001). Given that donor gene SNPs are associated with an increased risk of PTLF, this model integrated with donor gene polymorphisms may help clinicians predict PTLF. Impact Journals 2020-12-03 /pmc/articles/PMC7835018/ /pubmed/33291080 http://dx.doi.org/10.18632/aging.202302 Text en Copyright: © 2020 Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Wang, Chao Zhang, Xueyou Ling, Qi Zheng, Shusen Xu, Xiao A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
title | A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
title_full | A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
title_fullStr | A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
title_full_unstemmed | A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
title_short | A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
title_sort | model integrating donor gene polymorphisms predicts fibrosis after liver transplantation |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835018/ https://www.ncbi.nlm.nih.gov/pubmed/33291080 http://dx.doi.org/10.18632/aging.202302 |
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