Evidence map›Paper›PMID 29946139›Full record

ArticleScientific reports2018

Linking minimum inhibitory concentrations to whole genome sequence-predicted drug resistance in Mycobacterium tuberculosis strains from Romania.

Carolien Ruesen, Anca Lelia Riza, Adriana Florescu, Lidya Chaidir, Cornelia Editoiu, Nicole Aalders, Dragos Nicolosu, Victor Grecu, Mihai Ioana, Reinout van Crevel and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Review
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  8. Article
  9. Article
  10. Observational
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  13. Frontiers in cellular and infection microbiology · 2022
    Review
  14. Article
  15. Article
  16. Review
  17. Design of Multidrug-Resistant Tuberculosis Treatment Regimens Based on DNA Sequencing.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
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  19. Article
  20. Review
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

11 authors.

Carolien RuesenDepartment of Internal Medicine, Radboud university medical center, Nijmegen, The Netherlands.ORCID 0000-0002-3440-1828
Anca Lelia RizaDepartment of Internal Medicine, Radboud university medical center, Nijmegen, The Netherlands.
Adriana Florescu"Victor Babes" Infectious Diseases and Pneumophtisiology Hospital Craiova, Dolj County, Romania.
Lidya ChaidirHealth Research Unit, Faculty of Medicine, Padjadjaran University/Hasan Sadikin Hospital, Bandung, Indonesia.
Cornelia Editoiu"Victor Babes" Infectious Diseases and Pneumophtisiology Hospital Craiova, Dolj County, Romania.
Nicole AaldersDepartment of Medical Microbiology, Radboud university medical center, Nijmegen, The Netherlands.
Dragos Nicolosu"Victor Babes" Infectious Diseases and Pneumophtisiology Hospital Craiova, Dolj County, Romania.
Victor Grecu"Victor Babes" Infectious Diseases and Pneumophtisiology Hospital Craiova, Dolj County, Romania.
Mihai IoanaHuman Genomics Laboratory, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Reinout van CrevelDepartment of Internal Medicine, Radboud university medical center, Nijmegen, The Netherlands.
Jakko van IngenDepartment of Medical Microbiology, Radboud university medical center, Nijmegen, The Netherlands. Jakko.vaningen@radboudumc.nl.ORCID 0000-0002-0581-2003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis drug resistance poses a major threat to tuberculosis control. Current phenotypic tests for drug susceptibility are time-consuming, technically complex, and expensive. Whole genome sequencing is a promising alternative, though the impact of different drug resistance mutations on the minimum inhibitory concentration (MIC) remains to be investigated. We examined the genomes of 72 phenotypically drug-resistant Mycobacterium tuberculosis isolates from 72 Romanian patients for drug resistance mutations. MICs for first- and second-line drugs were determined using the MycoTB microdilution method. These MICs were compared to macrodilution critical concentration testing by the Mycobacterium Growth Indicator Tube (MGIT) platform and correlated to drug resistance mutations. Sixty-three (87.5%) isolates harboured drug resistance mutations; 48 (66.7%) were genotypically multidrug-resistant. Different drug resistance mutations were associated with different MIC ranges; katG S315T for isoniazid, and rpoB S450L for rifampicin were associated with high MICs. However, several mutations such as in rpoB, rrs and rpsL, or embB were associated with MIC ranges including the critical concentration for rifampicin, aminoglycosides or ethambutol, respectively. Different resistance mutations lead to distinct MICs, some of which may still be overcome by increased dosing. Whole genome sequencing can aid in the timely diagnosis of Mycobacterium tuberculosis drug resistance and guide clinical decision-making.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsGenome, BacterialGenotypeMicrobial Sensitivity TestsMutationMycobacterium tuberculosisPhenotypeAnti-Bacterial AgentsBacterial Proteins

Identifiers

PMID29946139
PMCPMC6018741

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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.