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Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure

Acute liver failure (ALF) caused by hepatitis B virus (HBV) is common type of liver failure in the world, with high morbidity and mortality rates. However, the prevalence, genetic background and factors determining the development of HBV‐related ALF are rarely studied. In this study, we examined thr...

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Autores principales: Chen, Huadi, Zhao, Wenting, Zhang, Yixi, Guo, Yiwen, Luo, Weixin, Wang, Xiaobo, Nie, Yu, Ye, Maodong, Huang, Changjun, Wang, Dongping, Chen, Maogen, He, Xiaoshun, Zhao, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520256/
https://www.ncbi.nlm.nih.gov/pubmed/32686296
http://dx.doi.org/10.1111/jcmm.15561
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author Chen, Huadi
Zhao, Wenting
Zhang, Yixi
Guo, Yiwen
Luo, Weixin
Wang, Xiaobo
Nie, Yu
Ye, Maodong
Huang, Changjun
Wang, Dongping
Chen, Maogen
He, Xiaoshun
Zhao, Qiang
author_facet Chen, Huadi
Zhao, Wenting
Zhang, Yixi
Guo, Yiwen
Luo, Weixin
Wang, Xiaobo
Nie, Yu
Ye, Maodong
Huang, Changjun
Wang, Dongping
Chen, Maogen
He, Xiaoshun
Zhao, Qiang
author_sort Chen, Huadi
collection PubMed
description Acute liver failure (ALF) caused by hepatitis B virus (HBV) is common type of liver failure in the world, with high morbidity and mortality rates. However, the prevalence, genetic background and factors determining the development of HBV‐related ALF are rarely studied. In this study, we examined three Gene Expression Omnibus (GEO) data sets by bioinformatics analysis to identify differentially expressed genes (DEGs), key biological processes and pathways. Immune infiltration analysis showed high immune cells infiltration in HBV‐related ALF tissue. We then confirmed natural killer cells and macrophages infiltration in clinical samples by immunohistochemistry assay, implying these cells play a significant role in HBV‐ALF. We found 1277 genes were co‐up‐regulated and that 1082 genes were co‐down‐regulated in the 3 data sets. Inflammation‐related pathways were enriched in the co‐up‐regulated genes and synthetic metabolic pathways were enriched in the co‐down‐regulated genes. WGCNA also revealed a key module enriching in immune inflammation response and identified 10 hub genes, differentially expressed in an independent data set. In conclusion, we identified fierce immune inflammatory response to elucidate the immune‐driven mechanism of HBV‐ALF and 10 hub genes based on gene expression profiles.
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spelling pubmed-75202562020-09-30 Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure Chen, Huadi Zhao, Wenting Zhang, Yixi Guo, Yiwen Luo, Weixin Wang, Xiaobo Nie, Yu Ye, Maodong Huang, Changjun Wang, Dongping Chen, Maogen He, Xiaoshun Zhao, Qiang J Cell Mol Med Original Articles Acute liver failure (ALF) caused by hepatitis B virus (HBV) is common type of liver failure in the world, with high morbidity and mortality rates. However, the prevalence, genetic background and factors determining the development of HBV‐related ALF are rarely studied. In this study, we examined three Gene Expression Omnibus (GEO) data sets by bioinformatics analysis to identify differentially expressed genes (DEGs), key biological processes and pathways. Immune infiltration analysis showed high immune cells infiltration in HBV‐related ALF tissue. We then confirmed natural killer cells and macrophages infiltration in clinical samples by immunohistochemistry assay, implying these cells play a significant role in HBV‐ALF. We found 1277 genes were co‐up‐regulated and that 1082 genes were co‐down‐regulated in the 3 data sets. Inflammation‐related pathways were enriched in the co‐up‐regulated genes and synthetic metabolic pathways were enriched in the co‐down‐regulated genes. WGCNA also revealed a key module enriching in immune inflammation response and identified 10 hub genes, differentially expressed in an independent data set. In conclusion, we identified fierce immune inflammatory response to elucidate the immune‐driven mechanism of HBV‐ALF and 10 hub genes based on gene expression profiles. John Wiley and Sons Inc. 2020-07-19 2020-09 /pmc/articles/PMC7520256/ /pubmed/32686296 http://dx.doi.org/10.1111/jcmm.15561 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Chen, Huadi
Zhao, Wenting
Zhang, Yixi
Guo, Yiwen
Luo, Weixin
Wang, Xiaobo
Nie, Yu
Ye, Maodong
Huang, Changjun
Wang, Dongping
Chen, Maogen
He, Xiaoshun
Zhao, Qiang
Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure
title Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure
title_full Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure
title_fullStr Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure
title_full_unstemmed Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure
title_short Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus‐related acute liver failure
title_sort systematic analysis on multiple gene expression omnibus data sets reveals fierce immune response in hepatitis b virus‐related acute liver failure
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520256/
https://www.ncbi.nlm.nih.gov/pubmed/32686296
http://dx.doi.org/10.1111/jcmm.15561
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