Monocyte-related gene biomarkers for latent and active tuberculosis

Monocytes are closely associated with tuberculosis (TB). Latent tuberculosis in some patients gradually develops into its active state. This study aimed to investigate the role of hub monocyte-associated genes in distinguishing latent TB infection (LTBI) from active TB. The gene expression profiles...

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Autores principales:	Yu Li, Yaju Deng, Jie He
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	monocytes latent tuberculosis active tuberculosis biological network genes Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/79b54270d9c54f5ca50e4bacc8d022c1
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spelling	oai:doaj.org-article:79b54270d9c54f5ca50e4bacc8d022c12021-11-11T14:23:43ZMonocyte-related gene biomarkers for latent and active tuberculosis2165-59792165-598710.1080/21655979.2021.2003931https://doaj.org/article/79b54270d9c54f5ca50e4bacc8d022c12021-11-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.2003931https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Monocytes are closely associated with tuberculosis (TB). Latent tuberculosis in some patients gradually develops into its active state. This study aimed to investigate the role of hub monocyte-associated genes in distinguishing latent TB infection (LTBI) from active TB. The gene expression profiles of 15 peripheral blood mononuclear cells (PBMCs) samples were downloaded from the gene expression omnibus (GEO) database, GSE54992. The monocyte abundance was high in active TB as evaluated by the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm. The limma test and correlation analysis documented 165 differentially expressed monocyte-related genes (DEMonRGs) between latent TB and active TB. Functional annotation and enrichment analyses of the DEMonRGs using the database for annotation, visualization, and integration discovery (DAVID) tools showed enrichment of inflammatory response mechanisms and immune-related pathways. A protein-protein interaction network was constructed with a node degree ≥10. The expression levels of these hub DEMonRGs (SERPINA1, FUCA2, and HP) were evaluated and verified using several independent datasets and clinical settings. Finally, a single sample scoring method was used to establish a gene signature for the three DEMonRGs, distinguishing active TB from latent TB. The findings of the present study provide a better understanding of monocyte-related molecular fundamentals in TB progression and contribute to the identification of new potential biomarkers for the diagnosis of active TB.Yu LiYaju DengJie HeTaylor & Francis Grouparticlemonocyteslatent tuberculosisactive tuberculosisbiological networkgenesBiotechnologyTP248.13-248.65ENBioengineered, Vol 0, Iss 0 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	monocytes latent tuberculosis active tuberculosis biological network genes Biotechnology TP248.13-248.65
spellingShingle	monocytes latent tuberculosis active tuberculosis biological network genes Biotechnology TP248.13-248.65 Yu Li Yaju Deng Jie He Monocyte-related gene biomarkers for latent and active tuberculosis
description	Monocytes are closely associated with tuberculosis (TB). Latent tuberculosis in some patients gradually develops into its active state. This study aimed to investigate the role of hub monocyte-associated genes in distinguishing latent TB infection (LTBI) from active TB. The gene expression profiles of 15 peripheral blood mononuclear cells (PBMCs) samples were downloaded from the gene expression omnibus (GEO) database, GSE54992. The monocyte abundance was high in active TB as evaluated by the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm. The limma test and correlation analysis documented 165 differentially expressed monocyte-related genes (DEMonRGs) between latent TB and active TB. Functional annotation and enrichment analyses of the DEMonRGs using the database for annotation, visualization, and integration discovery (DAVID) tools showed enrichment of inflammatory response mechanisms and immune-related pathways. A protein-protein interaction network was constructed with a node degree ≥10. The expression levels of these hub DEMonRGs (SERPINA1, FUCA2, and HP) were evaluated and verified using several independent datasets and clinical settings. Finally, a single sample scoring method was used to establish a gene signature for the three DEMonRGs, distinguishing active TB from latent TB. The findings of the present study provide a better understanding of monocyte-related molecular fundamentals in TB progression and contribute to the identification of new potential biomarkers for the diagnosis of active TB.
format	article
author	Yu Li Yaju Deng Jie He
author_facet	Yu Li Yaju Deng Jie He
author_sort	Yu Li
title	Monocyte-related gene biomarkers for latent and active tuberculosis
title_short	Monocyte-related gene biomarkers for latent and active tuberculosis
title_full	Monocyte-related gene biomarkers for latent and active tuberculosis
title_fullStr	Monocyte-related gene biomarkers for latent and active tuberculosis
title_full_unstemmed	Monocyte-related gene biomarkers for latent and active tuberculosis
title_sort	monocyte-related gene biomarkers for latent and active tuberculosis
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/79b54270d9c54f5ca50e4bacc8d022c1
work_keys_str_mv	AT yuli monocyterelatedgenebiomarkersforlatentandactivetuberculosis AT yajudeng monocyterelatedgenebiomarkersforlatentandactivetuberculosis AT jiehe monocyterelatedgenebiomarkersforlatentandactivetuberculosis
_version_	1718438948117676032

Monocyte-related gene biomarkers for latent and active tuberculosis

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