Cargando…

Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis

Diabetes mellitus patients with pulmonary tuberculosis (DMTB) comorbidity has been recognized as a major obstacle towards achieving the World Health Organization goal of reducing the tuberculosis incidence rate by 90% in 2035. Host immune responses affected by diabetes can lead to increased suscepti...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Tao, Wang, Yaguo, Gui, Jing, Fu, Yu, Ye, Chunli, Hong, Xiangya, Chen, Ling, Li, Yuhua, Zhang, Xilin, Hong, Wenxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803411/
https://www.ncbi.nlm.nih.gov/pubmed/36596076
http://dx.doi.org/10.1097/MD.0000000000031652
_version_ 1784861879408001024
author Liu, Tao
Wang, Yaguo
Gui, Jing
Fu, Yu
Ye, Chunli
Hong, Xiangya
Chen, Ling
Li, Yuhua
Zhang, Xilin
Hong, Wenxu
author_facet Liu, Tao
Wang, Yaguo
Gui, Jing
Fu, Yu
Ye, Chunli
Hong, Xiangya
Chen, Ling
Li, Yuhua
Zhang, Xilin
Hong, Wenxu
author_sort Liu, Tao
collection PubMed
description Diabetes mellitus patients with pulmonary tuberculosis (DMTB) comorbidity has been recognized as a major obstacle towards achieving the World Health Organization goal of reducing the tuberculosis incidence rate by 90% in 2035. Host immune responses affected by diabetes can lead to increased susceptibility, severity and poor treatment outcomes in DMTB patients, and the underlying mechanisms have not yet been fully elucidated. This study aimed to identify key immunological and cellular components that contribute to increased morbidity and mortality in DMTB cases. METHODS: We performed RNA-Seq of total RNA isolated from peripheral blood mononuclear cells from 3 TB, 3 diabetes mellitus, and 3 DMTB patients and healthy controls, and analyzed differential expression, pathway enrichment and clustering of differentially-expressed genes (DEGs) to identify biological pathways altered specifically in DMTB patients. RESULTS: Bioinformatic analysis of DEGs suggested that enhanced inflammatory responses, small GTPases, the protein kinase C signaling pathway, hemostasis and the cell cycle pathway are likely implicated in the pathogenesis of the DMTB comorbidity. CONCLUSION: The DMTB comorbidity is associated with an altered transcriptome and changes in various biological pathways. Our study provides new insights on the pathological mechanism that may aid the development of host-directed therapies for this increasingly prevalent disease in high TB burden countries.
format Online
Article
Text
id pubmed-9803411
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-98034112023-01-03 Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis Liu, Tao Wang, Yaguo Gui, Jing Fu, Yu Ye, Chunli Hong, Xiangya Chen, Ling Li, Yuhua Zhang, Xilin Hong, Wenxu Medicine (Baltimore) 4900 Diabetes mellitus patients with pulmonary tuberculosis (DMTB) comorbidity has been recognized as a major obstacle towards achieving the World Health Organization goal of reducing the tuberculosis incidence rate by 90% in 2035. Host immune responses affected by diabetes can lead to increased susceptibility, severity and poor treatment outcomes in DMTB patients, and the underlying mechanisms have not yet been fully elucidated. This study aimed to identify key immunological and cellular components that contribute to increased morbidity and mortality in DMTB cases. METHODS: We performed RNA-Seq of total RNA isolated from peripheral blood mononuclear cells from 3 TB, 3 diabetes mellitus, and 3 DMTB patients and healthy controls, and analyzed differential expression, pathway enrichment and clustering of differentially-expressed genes (DEGs) to identify biological pathways altered specifically in DMTB patients. RESULTS: Bioinformatic analysis of DEGs suggested that enhanced inflammatory responses, small GTPases, the protein kinase C signaling pathway, hemostasis and the cell cycle pathway are likely implicated in the pathogenesis of the DMTB comorbidity. CONCLUSION: The DMTB comorbidity is associated with an altered transcriptome and changes in various biological pathways. Our study provides new insights on the pathological mechanism that may aid the development of host-directed therapies for this increasingly prevalent disease in high TB burden countries. Lippincott Williams & Wilkins 2022-12-30 /pmc/articles/PMC9803411/ /pubmed/36596076 http://dx.doi.org/10.1097/MD.0000000000031652 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 4900
Liu, Tao
Wang, Yaguo
Gui, Jing
Fu, Yu
Ye, Chunli
Hong, Xiangya
Chen, Ling
Li, Yuhua
Zhang, Xilin
Hong, Wenxu
Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
title Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
title_full Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
title_fullStr Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
title_full_unstemmed Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
title_short Transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
title_sort transcriptome analysis of the impact of diabetes as a comorbidity on tuberculosis
topic 4900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803411/
https://www.ncbi.nlm.nih.gov/pubmed/36596076
http://dx.doi.org/10.1097/MD.0000000000031652
work_keys_str_mv AT liutao transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT wangyaguo transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT guijing transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT fuyu transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT yechunli transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT hongxiangya transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT chenling transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT liyuhua transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT zhangxilin transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis
AT hongwenxu transcriptomeanalysisoftheimpactofdiabetesasacomorbidityontuberculosis