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Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers

BACKGROUND: Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection. In this study, hub genes in DCs during MTB infection were first investigated using bioinformatics approaches and further validated in Mono...

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Autores principales: Wu, Xiao, Liu, Kewei, Li, Shanshan, Ren, Weicong, Wang, Wei, Shang, Yuanyuan, Zhang, Fuzhen, Huang, Yingying, Pang, Yu, Gao, Mengqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492340/
https://www.ncbi.nlm.nih.gov/pubmed/37684607
http://dx.doi.org/10.1186/s12920-023-01646-0
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author Wu, Xiao
Liu, Kewei
Li, Shanshan
Ren, Weicong
Wang, Wei
Shang, Yuanyuan
Zhang, Fuzhen
Huang, Yingying
Pang, Yu
Gao, Mengqiu
author_facet Wu, Xiao
Liu, Kewei
Li, Shanshan
Ren, Weicong
Wang, Wei
Shang, Yuanyuan
Zhang, Fuzhen
Huang, Yingying
Pang, Yu
Gao, Mengqiu
author_sort Wu, Xiao
collection PubMed
description BACKGROUND: Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection. In this study, hub genes in DCs during MTB infection were first investigated using bioinformatics approaches and further validated in Monocyte-derived DCs. METHODS: Microarray datasets were obtained from Gene Expression Omnibus (GEO) database. Principal component analysis (PCA) and immune infiltration analysis were performed to select suitable samples for further analysis. Differential analysis and functional enrichment analysis were conducted on DC samples, comparing live MTB-infected and non-infected (NI) groups. The CytoHubba plugin in Cytoscape was used to identify hub genes from the differentially expressed genes (DEGs). The expression of the hub genes was validated using two datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in human monocyte-derived DCs. Enzyme-linked immunosorbent assay (ELISA) was used to validate interferon (IFN) secretion. Transcription factors (TFs) and microRNAs (miRNAs) that interact with the hub genes were predicted using prediction databases. The diagnostic value of the hub genes was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. RESULTS: A total of 1835 common DEGs among three comparison groups (18 h, 48 h, 72 h after MTB infection) were identified. Six DEGs (IFIT1, IFIT2, IFIT3, ISG15, MX1, and RSAD2) were determined as hub genes. Functions enrichment analysis revealed that all hub genes all related to IFN response. RT-qPCR showed that the expression levels of six hub genes were significantly increased after DC stimulated by live MTB. According to the results of ELISA, the secretion of IFN-γ, but not IFN-α/β, was upregulated in MTB-stimulated DCs. AUC values of six hub genes ranged from 84 to 94% and AUC values of 5 joint indicators of two hub genes were higher than the two hub genes alone. CONCLUSION: The study identified 6 hub genes associated with IFN response pathway. These genes may serve as potential diagnostic biomarkers in tuberculosis (TB). The findings provide insights into the molecular mechanisms involved in the host immune response to MTB infection and highlight the diagnostic potential of these hub genes in TB. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01646-0.
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spelling pubmed-104923402023-09-10 Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers Wu, Xiao Liu, Kewei Li, Shanshan Ren, Weicong Wang, Wei Shang, Yuanyuan Zhang, Fuzhen Huang, Yingying Pang, Yu Gao, Mengqiu BMC Med Genomics Research BACKGROUND: Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection. In this study, hub genes in DCs during MTB infection were first investigated using bioinformatics approaches and further validated in Monocyte-derived DCs. METHODS: Microarray datasets were obtained from Gene Expression Omnibus (GEO) database. Principal component analysis (PCA) and immune infiltration analysis were performed to select suitable samples for further analysis. Differential analysis and functional enrichment analysis were conducted on DC samples, comparing live MTB-infected and non-infected (NI) groups. The CytoHubba plugin in Cytoscape was used to identify hub genes from the differentially expressed genes (DEGs). The expression of the hub genes was validated using two datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in human monocyte-derived DCs. Enzyme-linked immunosorbent assay (ELISA) was used to validate interferon (IFN) secretion. Transcription factors (TFs) and microRNAs (miRNAs) that interact with the hub genes were predicted using prediction databases. The diagnostic value of the hub genes was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. RESULTS: A total of 1835 common DEGs among three comparison groups (18 h, 48 h, 72 h after MTB infection) were identified. Six DEGs (IFIT1, IFIT2, IFIT3, ISG15, MX1, and RSAD2) were determined as hub genes. Functions enrichment analysis revealed that all hub genes all related to IFN response. RT-qPCR showed that the expression levels of six hub genes were significantly increased after DC stimulated by live MTB. According to the results of ELISA, the secretion of IFN-γ, but not IFN-α/β, was upregulated in MTB-stimulated DCs. AUC values of six hub genes ranged from 84 to 94% and AUC values of 5 joint indicators of two hub genes were higher than the two hub genes alone. CONCLUSION: The study identified 6 hub genes associated with IFN response pathway. These genes may serve as potential diagnostic biomarkers in tuberculosis (TB). The findings provide insights into the molecular mechanisms involved in the host immune response to MTB infection and highlight the diagnostic potential of these hub genes in TB. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01646-0. BioMed Central 2023-09-08 /pmc/articles/PMC10492340/ /pubmed/37684607 http://dx.doi.org/10.1186/s12920-023-01646-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Xiao
Liu, Kewei
Li, Shanshan
Ren, Weicong
Wang, Wei
Shang, Yuanyuan
Zhang, Fuzhen
Huang, Yingying
Pang, Yu
Gao, Mengqiu
Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
title Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
title_full Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
title_fullStr Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
title_full_unstemmed Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
title_short Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
title_sort integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492340/
https://www.ncbi.nlm.nih.gov/pubmed/37684607
http://dx.doi.org/10.1186/s12920-023-01646-0
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