Evidence map›Paper›PMID 20211896›Full record

ArticleAntimicrobial agents and chemotherapy2010

Identification of katG mutations associated with high-level isoniazid resistance in Mycobacterium tuberculosis.

Hiroki Ando, Yuji Kondo, Toshinori Suetake, Emiko Toyota, Seiya Kato, Toru Mori, Teruo Kirikae

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Mutations inInfection and drug resistance · 2026
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  12. Computational and structural biotechnology journal · 2025
    Article
  13. Article
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  17. Prevalence ofJournal of clinical tuberculosis and other mycobacterial diseases · 2023
    Article
  18. Comparison of Phenotype and Genotype Virulence and Antimicrobial Factors ofInternational journal of molecular sciences · 2023
    Article
  19. Frontiers in microbiology · 2023
    Article
  20. Frequency of rpoB, katG, and inhA Gene Polymorphisms Associated with Multidrug-ResistantInterdisciplinary perspectives on infectious diseases · 2022
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Hiroki AndoDepartment of Infectious Diseases, Research Institute, International Medical Center of Japan, Tokyo, Japan.
Yuji Kondo
Toshinori Suetake
Emiko Toyota
Seiya Kato
Toru Mori
Teruo Kirikae

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isoniazid (INH) is an effective first-line antituberculosis drug. KatG, a catalase-peroxidase, converts INH to an active form in Mycobacterium tuberculosis, and katG mutations are major causes of INH resistance. In the present study, we sequenced katG of 108 INH-resistant M. tuberculosis clinical isolates. Consequently, 9 novel KatG mutants with a single-amino-acid substitution were found. All of these mutants had significantly lower INH oxidase activities than the wild type, and each mutant showed various levels of activity. Isolates having mutations with relatively low activities showed high-level INH resistance. On the basis of our results and known mutations associated with INH resistance, we developed a new hybridization-based line probe assay for rapid detection of INH-resistant M. tuberculosis isolates.

Indexed as

Amino Acid SubstitutionAntitubercular AgentsBacterial ProteinsCatalaseDrug Resistance, BacterialEscherichia coliGenetic TestingHumansIsoniazidMicrobiological TechniquesMycobacterium tuberculosisOligonucleotide ProbesPlasmidsPoint MutationPolymorphism, Restriction Fragment LengthTuberculosis, PulmonaryAntitubercular AgentsBacterial ProteinsCatalaseIsoniazidkatG protein, Mycobacterium tuberculosisOligonucleotide Probes

Identifiers

PMID20211896
PMCPMC2863633

What OpenQuestion holds

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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.