Cargando…

Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis

BACKGROUND: Chronic hepatitis B (CHB) is a serious infectious disease which is induced by hepatitis B virus (HBV) infection. This project was conducted to reveal the potential mechanism in CHB development via analyzing the public clinical data. METHODS: GSE33857 and GSE110217, obtained from the GEO...

Descripción completa

Detalles Bibliográficos
Autores principales: Fan, Jingjing, Chen, Yong, Zhang, Wei, Zhou, Xiaoying, Bai, Xue, Chang, Caifang, Han, Yongping, Liu, Jinlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525735/
https://www.ncbi.nlm.nih.gov/pubmed/36193503
http://dx.doi.org/10.1155/2022/6113807
_version_ 1784800744366407680
author Fan, Jingjing
Chen, Yong
Zhang, Wei
Zhou, Xiaoying
Bai, Xue
Chang, Caifang
Han, Yongping
Liu, Jinlu
author_facet Fan, Jingjing
Chen, Yong
Zhang, Wei
Zhou, Xiaoying
Bai, Xue
Chang, Caifang
Han, Yongping
Liu, Jinlu
author_sort Fan, Jingjing
collection PubMed
description BACKGROUND: Chronic hepatitis B (CHB) is a serious infectious disease which is induced by hepatitis B virus (HBV) infection. This project was conducted to reveal the potential mechanism in CHB development via analyzing the public clinical data. METHODS: GSE33857 and GSE110217, obtained from the GEO database, were used for bioinformatics excavation. Briefly, the raw data of GSE33857 and GSE110217 were analyzed with the GEO2R, and then the expressed matrix files were generated. The matrix files was visualized as heat map with R software. The targets of the miRNAs were analyzed with the miRDIP database. The functional annotation and pathway enrichment were performed using “clusterProfiler” package in R software. The STRING database was utilized to analyze the interaction of the DEGs, and the PPI and miRNA-mRNA network were established according to the related results. RESULTS: 93 downregulated genes and 17 upregulated genes in GES33857, and 111 downregulated and 40 upregulated genes in GSE110217 were identified as the hub nodes. The targets of the DEGs in the datasets were enriched in PI3K/AKT and MAPK pathways and associated with transcriptional regulation. Moreover, PPI and miRNA-mRNA networks were also established with the DEGs and related targets in the datasets. miR-122-5p, miR-125b-5p, miR-136-5p, miR-194-5p, miR-139-5p, miR-140-5p, miR-181a-5p, and miR-29b-3p were identified as the potential biomarkers in CHB. CONCLUSION: Eight miRNAs, including miR-122-5p, miR-125b-5p, miR-136-5p, miR-194-5p, miR-139-5p, miR-140-5p, miR-181a-5p, and miR-29b-3p, were identified as the potential biomarkers in CHB, and the PPI and miRNA-mRNA networks were also established.
format Online
Article
Text
id pubmed-9525735
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-95257352022-10-02 Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis Fan, Jingjing Chen, Yong Zhang, Wei Zhou, Xiaoying Bai, Xue Chang, Caifang Han, Yongping Liu, Jinlu Dis Markers Research Article BACKGROUND: Chronic hepatitis B (CHB) is a serious infectious disease which is induced by hepatitis B virus (HBV) infection. This project was conducted to reveal the potential mechanism in CHB development via analyzing the public clinical data. METHODS: GSE33857 and GSE110217, obtained from the GEO database, were used for bioinformatics excavation. Briefly, the raw data of GSE33857 and GSE110217 were analyzed with the GEO2R, and then the expressed matrix files were generated. The matrix files was visualized as heat map with R software. The targets of the miRNAs were analyzed with the miRDIP database. The functional annotation and pathway enrichment were performed using “clusterProfiler” package in R software. The STRING database was utilized to analyze the interaction of the DEGs, and the PPI and miRNA-mRNA network were established according to the related results. RESULTS: 93 downregulated genes and 17 upregulated genes in GES33857, and 111 downregulated and 40 upregulated genes in GSE110217 were identified as the hub nodes. The targets of the DEGs in the datasets were enriched in PI3K/AKT and MAPK pathways and associated with transcriptional regulation. Moreover, PPI and miRNA-mRNA networks were also established with the DEGs and related targets in the datasets. miR-122-5p, miR-125b-5p, miR-136-5p, miR-194-5p, miR-139-5p, miR-140-5p, miR-181a-5p, and miR-29b-3p were identified as the potential biomarkers in CHB. CONCLUSION: Eight miRNAs, including miR-122-5p, miR-125b-5p, miR-136-5p, miR-194-5p, miR-139-5p, miR-140-5p, miR-181a-5p, and miR-29b-3p, were identified as the potential biomarkers in CHB, and the PPI and miRNA-mRNA networks were also established. Hindawi 2022-09-23 /pmc/articles/PMC9525735/ /pubmed/36193503 http://dx.doi.org/10.1155/2022/6113807 Text en Copyright © 2022 Jingjing Fan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fan, Jingjing
Chen, Yong
Zhang, Wei
Zhou, Xiaoying
Bai, Xue
Chang, Caifang
Han, Yongping
Liu, Jinlu
Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis
title Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis
title_full Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis
title_fullStr Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis
title_full_unstemmed Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis
title_short Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis
title_sort identification of the hub genes and potential regulation network in chronic hepatitis b via bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525735/
https://www.ncbi.nlm.nih.gov/pubmed/36193503
http://dx.doi.org/10.1155/2022/6113807
work_keys_str_mv AT fanjingjing identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT chenyong identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT zhangwei identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT zhouxiaoying identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT baixue identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT changcaifang identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT hanyongping identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis
AT liujinlu identificationofthehubgenesandpotentialregulationnetworkinchronichepatitisbviabioinformaticsanalysis