Evidence map›Paper›PMID 30053801›Full record

ArticleBMC genomics2018

Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach.

Tungadri Bose, Chandrani Das, Anirban Dutta, Vishnuvardhan Mahamkali, Sudipta Sadhu, Sharmila S Mande

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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  9. Rewiring of Metabolic Network inFrontiers in microbiology · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Tungadri BoseBio-Sciences R&D Division, TCS Research, Tata Consultancy Services Limited, Pune, India.
Chandrani DasBio-Sciences R&D Division, TCS Research, Tata Consultancy Services Limited, Pune, India.
Anirban DuttaBio-Sciences R&D Division, TCS Research, Tata Consultancy Services Limited, Pune, India. anirban.dutt@tcs.com.
Vishnuvardhan MahamkaliBio-Sciences R&D Division, TCS Research, Tata Consultancy Services Limited, Pune, India.
Sudipta SadhuBio-Sciences R&D Division, TCS Research, Tata Consultancy Services Limited, Pune, India.
Sharmila S MandeBio-Sciences R&D Division, TCS Research, Tata Consultancy Services Limited, Pune, India. sharmila.mande@tcs.com.
Tata Consultancy Services (India) · INIndian Institute of Technology Bombay · IN

Funding

Department of Biotechnology , Ministry of Science and Technology BT/PR3260/BRB/10/967/2011
6 · The paper itself

Abstract

backgroundMycobacterium 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Host-Pathogen InteractionsBacterial ProteinsCell HypoxiaComputer SimulationGene Regulatory NetworksHumansMacrophagesMycobacterium tuberculosisProtein Interaction MappingBacterial ProteinsFlux balance analysisGene regulatory networkGenome scale metabolic modelHost-pathogen interactionsHypoxiaMycobacterium tuberculosis infection

Identifiers

PMID30053801
PMCPMC6064076
OpenAlexW2884161216

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.