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Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis

Chronic hepatitis B virus infection has become a major public health issue worldwide, which can lead to liver inflammation, fibrosis, and hepatocellular carcinoma. According to the inflammation activity, liver tissues can be divided into 5 grades (G0–G4). However, the mechanism of the development of...

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Autores principales: Zhao, Jing-Yuan, Zhong, Zhao-Zhong, Zhao, Li-Yun, Li, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410593/
https://www.ncbi.nlm.nih.gov/pubmed/36042612
http://dx.doi.org/10.1097/MD.0000000000030229
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author Zhao, Jing-Yuan
Zhong, Zhao-Zhong
Zhao, Li-Yun
Li, Wen
author_facet Zhao, Jing-Yuan
Zhong, Zhao-Zhong
Zhao, Li-Yun
Li, Wen
author_sort Zhao, Jing-Yuan
collection PubMed
description Chronic hepatitis B virus infection has become a major public health issue worldwide, which can lead to liver inflammation, fibrosis, and hepatocellular carcinoma. According to the inflammation activity, liver tissues can be divided into 5 grades (G0–G4). However, the mechanism of the development of liver inflammation remains unclear. In our study, expression profiling by microarray and bioinformatics technology was used to systemically identify differentially expressed genes (DEGs) between low grades (G0–G1) and high (G2–G4) grades of liver inflammation. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and protein–protein interaction network construction were performed for further identification of the key functions, pathways, and hub genes that might play important roles in the inflammation development. A total of 1982 DEGs were identified, consisting of 1220 downregulated genes and 762 upregulated genes. GO analysis revealed the DEGs were mainly enriched in GO terms that related to neutrophil activation and degranulation. MAPK1, ITGA2, CDK2, TGFB1, CDKN2A, MTOR, IL6, PCNA, OAS2, and EP300 were hub genes that had the highest centricity and might be potential markers for inflammation development. This study identified the differentially expressed genes between different grades of inflammation, which would enlighten the study that focuses on the mechanism of liver inflammation development.
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spelling pubmed-94105932022-08-26 Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis Zhao, Jing-Yuan Zhong, Zhao-Zhong Zhao, Li-Yun Li, Wen Medicine (Baltimore) Research Article Chronic hepatitis B virus infection has become a major public health issue worldwide, which can lead to liver inflammation, fibrosis, and hepatocellular carcinoma. According to the inflammation activity, liver tissues can be divided into 5 grades (G0–G4). However, the mechanism of the development of liver inflammation remains unclear. In our study, expression profiling by microarray and bioinformatics technology was used to systemically identify differentially expressed genes (DEGs) between low grades (G0–G1) and high (G2–G4) grades of liver inflammation. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and protein–protein interaction network construction were performed for further identification of the key functions, pathways, and hub genes that might play important roles in the inflammation development. A total of 1982 DEGs were identified, consisting of 1220 downregulated genes and 762 upregulated genes. GO analysis revealed the DEGs were mainly enriched in GO terms that related to neutrophil activation and degranulation. MAPK1, ITGA2, CDK2, TGFB1, CDKN2A, MTOR, IL6, PCNA, OAS2, and EP300 were hub genes that had the highest centricity and might be potential markers for inflammation development. This study identified the differentially expressed genes between different grades of inflammation, which would enlighten the study that focuses on the mechanism of liver inflammation development. Lippincott Williams & Wilkins 2022-08-26 /pmc/articles/PMC9410593/ /pubmed/36042612 http://dx.doi.org/10.1097/MD.0000000000030229 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhao, Jing-Yuan
Zhong, Zhao-Zhong
Zhao, Li-Yun
Li, Wen
Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis
title Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis
title_full Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis
title_fullStr Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis
title_full_unstemmed Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis
title_short Key pathways and genes in hepatitis B virus-related liver inflammation: Expression profiling and bioinformatics analysis
title_sort key pathways and genes in hepatitis b virus-related liver inflammation: expression profiling and bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410593/
https://www.ncbi.nlm.nih.gov/pubmed/36042612
http://dx.doi.org/10.1097/MD.0000000000030229
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