Evidence map›Paper›PMID 23705640›Full record

ArticleBMC infectious diseases2013

Detection of second-line drug resistance in Mycobacterium tuberculosis using oligonucleotide microarrays.

Danila V Zimenkov, Olga V Antonova, Alexey V Kuz'min, Yulia D Isaeva, Ludmila Y Krylova, Sergey A Popov, Alexander S Zasedatelev, Vladimir M Mikhailovich, Dmitry A Gryadunov

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
  2. Rapid screening of mutations for second-line-drug-resistant genes in Mycobacterium tuberculosis culture isolates by in-house developed DNA bio-chip.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  3. Article
  4. Development of DNA Bio-chip for Detection of Mutations ofIndian journal of clinical biochemistry : IJCB · 2023
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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

9 authors at 3 institutions in 1 country.

Danila V ZimenkovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia. z@biochip.ru
Olga V Antonova
Alexey V Kuz'min
Yulia D Isaeva
Ludmila Y Krylova
Sergey A Popov
Alexander S Zasedatelev
Vladimir M Mikhailovich
Dmitry A Gryadunov
Engelhardt Institute of Molecular Biology · RUMoscow Clinical Scientific Center · RUSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe steady rise in the spread of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) requires rapid and reliable methods to identify resistant strains. The current molecular methods to detect MTB resistance to second-line drugs either do not cover an extended spectrum of mutations to be identified or are not easily implemented in clinical laboratories. A rapid molecular technique for the detection of resistance to second-line drugs in M. tuberculosis has been developed using hybridisation analysis on microarrays.

methodsThe method allows the identification of mutations within the gyrA and gyrB genes responsible for fluoroquinolones resistance and mutations within the rrs gene and the eis promoter region associated with the resistance to injectable aminoglycosides and a cyclic peptide, capreomycin. The method was tested on 65 M. tuberculosis clinical isolates with different resistance spectra that were characterised by their resistance to ofloxacin, levofloxacin, moxifloxacin, kanamycin and capreomycin. Also, a total of 61 clinical specimens of various origin (e.g., sputum, bronchioalveolar lavage) were tested.

resultsThe sensitivity and specificity of the method in the detection of resistance to fluoroquinolones were 98% and 100%, respectively, 97% and 94% for kanamycin, and 100% and 94% for capreomycin. The analytical sensitivity of the method was approximately 300 genome copies per assay. The diagnostic sensitivity of the assay ranging from 67% to 100%, depending on the smear grade, and the method is preferable for analysis of smear-positive specimens.

conclusionsThe combined use of the developed microarray test and the previously described microarray-based test for the detection of rifampin and isoniazid resistance allows the simultaneous identification of the causative agents of MDR and XDR and the detection of their resistance profiles in a single day.

Indexed as

AminoglycosidesAnti-Bacterial AgentsBacterial ProteinsDNA, BacterialDNA GyraseDrug Resistance, Multiple, BacterialFluoroquinolonesHumansMicrobial Sensitivity TestsMycobacterium tuberculosisOligonucleotide Array Sequence AnalysisPhenotypeSensitivity and SpecificitySputumTuberculosis, Multidrug-ResistantAminoglycosidesAnti-Bacterial AgentsBacterial ProteinsDNA, BacterialDNA GyraseFluoroquinolones

Identifiers

PMID23705640
PMCPMC3671172
OpenAlexW1977522038

What OpenQuestion holds

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LicenceCC BY
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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.