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...
Autores principales: | , , , , , , , , , |
---|---|
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 |