Evidence map›Paper›PMID 27573104›Full record

ArticleNature microbiology2016

Network analysis identifies Rv0324 and Rv0880 as regulators of bedaquiline tolerance in Mycobacterium tuberculosis.

Eliza J R Peterson, Shuyi Ma, David R Sherman, Nitin S Baliga

Abstract read
In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

62 citing papers in PubMed, 89 citations in OpenAlex.

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  16. Microbiology spectrum · 2023
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2 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Eliza J R Peterson *Institute for Systems Biology, Seattle, WA.
Shuyi Ma *Center for Infectious Disease Research, formerly Seattle Biomedical Research Institute, Seattle, WA.
David R ShermanCenter for Infectious Disease Research, formerly Seattle Biomedical Research Institute, Seattle, WA.
Nitin S BaligaInstitute for Systems Biology, Seattle, WA.
Center for Infectious Disease Research · USInstitute for Systems Biology · USLawrence Berkeley National Laboratory · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Validation and Application of a Model for Human-like TB Latency in RabbitsU19AI111276 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, HORN, DAVID LOUIS · 2014 to 2020
$23.3M
Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
Diseases of Public Health Importance Training GrantT32AI007509 · NIAID · UNIVERSITY OF WASHINGTON · PI LUND, JENNIFER M · 1997 to 2024
$6.3M
NIAID NIH HHS T32 AI007509NIAID NIH HHS U19 AI106761NIAID NIH HHS U19 AI111276NIGMS NIH HHS P50 GM076547
6 · The paper itself

Abstract

The resilience of Mycobacterium tuberculosis (MTB) emerges from its ability to effectively counteract immunological, environmental and antitubercular challenges. Here, we demonstrate that MTB can tolerate drug treatment by adopting a tolerant state that can be deciphered through systems analysis of its transcriptional responses. Specifically, we demonstrate how treatment with the antitubercular drug bedaquiline activates a regulatory network that coordinates multiple resistance mechanisms to push MTB into a tolerant state. Disruption of this network, by knocking out its predicted transcription factors, Rv0324 and Rv0880, significantly increased bedaquiline killing and enabled the discovery of a second drug, pretomanid, that potentiated killing by bedaquiline. We demonstrate that the synergistic effect of this combination emerges, in part, through disruption of the tolerance network. We discuss how this network strategy also predicts drug combinations with antagonistic interactions, potentially accelerating the discovery of new effective combination drug regimens for tuberculosis.

Indexed as

Drug ToleranceAntitubercular AgentsBacterial ProteinsDiarylquinolinesGene DeletionGene Expression ProfilingGene Expression Regulation, BacterialGene Regulatory NetworksMycobacterium tuberculosisAntitubercular AgentsBacterial ProteinsbedaquilineDiarylquinolines

Identifiers

PMID27573104
PMCPMC5010021
OpenAlexW2481250887

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.