Evidence map›Paper›PMID 28262820›Full record

ArticleScientific reports2017

A temporal proteome dynamics study reveals the molecular basis of induced phenotypic resistance in Mycobacterium smegmatis at sub-lethal rifampicin concentrations.

Alexander D Giddey, Elise de Kock, Kehilwe C Nakedi, Shaun Garnett, Andrew J M Nel, Nelson C Soares, Jonathan M Blackburn

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Dynamic Adaptive Response ofAntibiotics (Basel, Switzerland) · 2021
    Article
  13. Article
  14. Review
  15. Quantitative Proteomics of the 2016 WHOMolecular & cellular proteomics : MCP · 2019
    Article
  16. Associating HEmerging microbes & infections · 2018
    Article
  17. Article
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

7 authors at 1 institution in 1 country.

Alexander D GiddeyDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
Elise de KockDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
Kehilwe C NakediDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
Shaun GarnettDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
Andrew J M NelDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
Nelson C SoaresDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
Jonathan M BlackburnDepartment of Integrative Biomedical Sciences, University of Cape Town, South Africa.
University of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last 40 years only one new antitubercular drug has been approved, whilst resistance to current drugs, including rifampicin, is spreading. Here, we used the model organism Mycobacterium smegmatis to study mechanisms of phenotypic mycobacterial resistance, employing quantitative mass spectrometry-based proteomics to investigate the temporal effects of sub-lethal concentrations of rifampicin on the mycobacterial proteome at time-points corresponding to early response, onset of bacteriostasis and early recovery. Across 18 samples, a total of 3,218 proteins were identified from 31,846 distinct peptides averaging 16,250 identified peptides per sample. We found evidence that two component signal transduction systems (e.g. MprA/MprB) play a major role during initial mycobacterial adaptive responses to sub-lethal rifampicin and that, after dampening an initial SOS response, the bacteria supress the DevR (DosR) regulon and also upregulate their transcriptional and translational machineries. Furthermore, we found a co-ordinated dysregulation in haeme and mycobactin synthesis. Finally, gradual upregulation of the M. smegmatis-specific rifampin ADP-ribosyl transferase was observed which, together with upregulation of transcriptional and translational machinery, likely explains recovery of normal growth. Overall, our data indicates that in mycobacteria, sub-lethal rifampicin triggers a concerted phenotypic response that contrasts significantly with that observed at higher antimicrobial doses.

Indexed as

Antibiotics, AntitubercularBacterial ProteinsDose-Response Relationship, DrugDrug Resistance, BacterialMycobacterium smegmatisPeptidesPhenotypeProteomeProteomicsRifampinTime FactorsAntibiotics, AntitubercularBacterial ProteinsPeptidesProteomeRifampin

Identifiers

PMID28262820
PMCPMC5338346
OpenAlexW2593327199

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.