Evidence map›Paper›PMID 24590482›Full record

ArticleAntimicrobial agents and chemotherapy2014

Antimicrobial treatment improves mycobacterial survival in nonpermissive growth conditions.

Obolbek Turapov, Simon J Waddell, Bernard Burke, Sarah Glenn, Asel A Sarybaeva, Griselda Tudo, Gilles Labesse, Danielle I Young, Michael Young, Peter W Andrew and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2014. 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
1.8field-weighted citation impact, top 16% 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, 18 citations in OpenAlex.

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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

13 authors at 6 institutions in 2 countries.

Obolbek TurapovDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, United Kingdom.
Simon J Waddell
Bernard Burke
Sarah Glenn
Asel A Sarybaeva
Griselda Tudo
Gilles Labesse
Danielle I Young
Michael Young
Peter W Andrew
Philip D Butcher
Martin Cohen-Gonsaud
Galina V Mukamolova
University of Leicester · GBAberystwyth University · GBSt George's, University of London · GBBrighton and Sussex Medical School · GBCentre National de la Recherche Scientifique · FRInserm · FR

Funding

Biotechnology and Biological Sciences Research Council BB/H008586/1NIAID NIH HHS HHSN266200400091CNIAID NIH HHS N01 AI040091Wellcome Trust GM 081396/Z/06/ZWellcome Trust WT097828MF
6 · The paper itself

Abstract

Antimicrobials targeting cell wall biosynthesis are generally considered inactive against nonreplicating bacteria. Paradoxically, we found that under nonpermissive growth conditions, exposure of Mycobacterium bovis BCG bacilli to such antimicrobials enhanced their survival. We identified a transcriptional regulator, RaaS (for regulator of antimicrobial-assisted survival), encoded by bcg1279 (rv1219c) as being responsible for the observed phenomenon. Induction of this transcriptional regulator resulted in reduced expression of specific ATP-dependent efflux pumps and promoted long-term survival of mycobacteria, while its deletion accelerated bacterial death under nonpermissive growth conditions in vitro and during macrophage or mouse infection. These findings have implications for the design of antimicrobial drug combination therapies for persistent infectious diseases, such as tuberculosis.

Indexed as

AnimalsAnti-Infective AgentsCell LineElectrophoretic Mobility Shift AssayFluorescence PolarizationHumansMiceMycobacterium bovisMycobacterium tuberculosisAnti-Infective Agents

Identifiers

PMID24590482
PMCPMC3993263
OpenAlexW2043130045

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.