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Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach
BACKGROUND: Mycobacterium tuberculosis infection in humans is often associated with extended period of latency. To adapt to the hostile hypoxic environment inside a macrophage, M. tuberculosis cells undergo several physiological and metabolic changes. Previous studies have mostly focused on inspecti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6064076/ https://www.ncbi.nlm.nih.gov/pubmed/30053801 http://dx.doi.org/10.1186/s12864-018-4947-8 |
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author | Bose, Tungadri Das, Chandrani Dutta, Anirban Mahamkali, Vishnuvardhan Sadhu, Sudipta Mande, Sharmila S. |
author_facet | Bose, Tungadri Das, Chandrani Dutta, Anirban Mahamkali, Vishnuvardhan Sadhu, Sudipta Mande, Sharmila S. |
author_sort | Bose, Tungadri |
collection | PubMed |
description | BACKGROUND: Mycobacterium tuberculosis infection in humans is often associated with extended period of latency. To adapt to the hostile hypoxic environment inside a macrophage, M. tuberculosis cells undergo several physiological and metabolic changes. Previous studies have mostly focused on inspecting individual facets of this complex process. In order to gain deeper insights into the infection process and to understand the coordination among different regulatory/ metabolic pathways in the pathogen, the current in silico study investigates three aspects, namely, (i) host-pathogen interactions (HPIs) between human and M. tuberculosis proteins, (ii) gene regulatory network pertaining to adaptation of M. tuberculosis to hypoxia and (iii) alterations in M. tuberculosis metabolism under hypoxic condition. Subsequently, cross-talks between these components have been probed to evaluate possible gene-regulatory events as well as HPIs which are likely to drive metabolic changes during pathogen’s adaptation to the intra-host hypoxic environment. RESULTS: The newly identified HPIs suggest the pathogen’s ability to subvert host mediated reactive oxygen intermediates/ reactive nitrogen intermediates (ROI/ RNI) stress as well as their potential role in modulating host cell cycle and cytoskeleton structure. The results also indicate a significantly pronounced effect of HPIs on hypoxic metabolism of M. tuberculosis. Findings from the current study underscore the necessity of investigating the infection process from a systems-level perspective incorporating different facets of intra-cellular survival of the pathogen. CONCLUSIONS: The comprehensive host-pathogen interaction network, a Boolean model of M. tuberculosis H37Rv (Mtb) hypoxic gene-regulation, as well as a genome scale metabolic model of Mtb, built for this study are expected to be useful resources for future studies on tuberculosis infection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4947-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6064076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60640762018-07-31 Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach Bose, Tungadri Das, Chandrani Dutta, Anirban Mahamkali, Vishnuvardhan Sadhu, Sudipta Mande, Sharmila S. BMC Genomics Research Article BACKGROUND: Mycobacterium tuberculosis infection in humans is often associated with extended period of latency. To adapt to the hostile hypoxic environment inside a macrophage, M. tuberculosis cells undergo several physiological and metabolic changes. Previous studies have mostly focused on inspecting individual facets of this complex process. In order to gain deeper insights into the infection process and to understand the coordination among different regulatory/ metabolic pathways in the pathogen, the current in silico study investigates three aspects, namely, (i) host-pathogen interactions (HPIs) between human and M. tuberculosis proteins, (ii) gene regulatory network pertaining to adaptation of M. tuberculosis to hypoxia and (iii) alterations in M. tuberculosis metabolism under hypoxic condition. Subsequently, cross-talks between these components have been probed to evaluate possible gene-regulatory events as well as HPIs which are likely to drive metabolic changes during pathogen’s adaptation to the intra-host hypoxic environment. RESULTS: The newly identified HPIs suggest the pathogen’s ability to subvert host mediated reactive oxygen intermediates/ reactive nitrogen intermediates (ROI/ RNI) stress as well as their potential role in modulating host cell cycle and cytoskeleton structure. The results also indicate a significantly pronounced effect of HPIs on hypoxic metabolism of M. tuberculosis. Findings from the current study underscore the necessity of investigating the infection process from a systems-level perspective incorporating different facets of intra-cellular survival of the pathogen. CONCLUSIONS: The comprehensive host-pathogen interaction network, a Boolean model of M. tuberculosis H37Rv (Mtb) hypoxic gene-regulation, as well as a genome scale metabolic model of Mtb, built for this study are expected to be useful resources for future studies on tuberculosis infection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4947-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-27 /pmc/articles/PMC6064076/ /pubmed/30053801 http://dx.doi.org/10.1186/s12864-018-4947-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Bose, Tungadri Das, Chandrani Dutta, Anirban Mahamkali, Vishnuvardhan Sadhu, Sudipta Mande, Sharmila S. Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach |
title | Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach |
title_full | Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach |
title_fullStr | Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach |
title_full_unstemmed | Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach |
title_short | Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach |
title_sort | understanding the role of interactions between host and mycobacterium tuberculosis under hypoxic condition: an in silico approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6064076/ https://www.ncbi.nlm.nih.gov/pubmed/30053801 http://dx.doi.org/10.1186/s12864-018-4947-8 |
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