Evidence map›Paper›PMID 30446638›Full record

ArticleEmerging microbes & infections2018

The impact of combined gene mutations in inhA and ahpC genes on high levels of isoniazid resistance amongst katG non-315 in multidrug-resistant tuberculosis isolates from China.

Liguo Liu, Fengting Jiang, Lihong Chen, Bing Zhao, Jie Dong, Lilian Sun, Yafang Zhu, Bo Liu, Yang Zhou, Jian Yang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Predicting isoniazid resistance inJournal of clinical microbiology · 2026
    Article
  3. Prevalence and resistance spectrum ofMicrobiology spectrum · 2026
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  9. Drug resistance profile ofFrontiers in microbiology · 2025
    Article
  10. A comprehensive evaluation of a novel targeted-sequencing workflow forFrontiers in cellular and infection microbiology · 2025
    Article
  11. Rapid detection of drug resistance inFrontiers in cellular and infection microbiology · 2025
    Article
  12. Article
  13. Article
  14. Precision Medicine Strategies to Improve Isoniazid Therapy in Patients with Tuberculosis.European journal of drug metabolism and pharmacokinetics · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 2 institutions in 1 country.

Liguo LiuMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Fengting JiangMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Lihong ChenMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Bing ZhaoChinese Center for Disease Control and Prevention, 155# Changbai Road, Changping District, 102206, Beijing, China.
Jie DongMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Lilian SunMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Yafang ZhuMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Bo LiuMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Yang ZhouChinese Center for Disease Control and Prevention, 155# Changbai Road, Changping District, 102206, Beijing, China.
Jian YangMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.ORCID http://orcid.org/0000-0002-8826-5198
Yanlin ZhaoChinese Center for Disease Control and Prevention, 155# Changbai Road, Changping District, 102206, Beijing, China.
Qi JinMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China.
Xiaobing ZhangMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, 100176, Beijing, China. zhang_xb@ipbcams.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing was used to analyze the profiles of isoniazid (INH) resistance-related mutations among 188 multidrug-resistant strains of Mycobacterium tuberculosis (MDR-TB) and mono-INH-resistant isolates collected in a recent Chinese national survey. Mutations were detected in 18 structural genes and two promoter regions in 96.8% of 188 resistant isolates. There were high mutation frequencies in katG, the inhA promoter, and ahpC-oxyR regulator regions in INH-resistant isolates with frequencies of 86.2%, 19.6%, and 18.6%, respectively. Moreover, a high diversity of mutations was identified as 102 mutants contained various types of single or combined gene mutations in the INH-resistant group of isolates. The cumulative frequencies of katG 315 or inhA-P/inhA mutations was 68.1% (128/188) for the INH-resistant isolates. Of these isolates, 46 isolates (24.5% of 188) exhibited a high level of resistance. A high level of resistance was also observed in 21 isolates (11.2% of 188) with single ahpC-oxyR mutations or a combination of ahpC-oxyR and katG non-315 mutations. The remaining 17 mutations occurred sporadically and emerged in isolates with combined katG mutations. Such development of INH resistance is likely due to an accumulation of mutations under the pressure of drug selection. Thus, these findings provided insights on the levels of INH resistance and its correlation with the combinatorial mutation effect resulting from less frequent genes (inhA and/or ahpC). Such knowledge of other genes (apart from katG) in high-level resistance will aid in developing better strategies for the diagnosis and management of TB.

Indexed as

MutationAntitubercular AgentsBacterial ProteinsCatalaseChinaDNA, BacterialDrug Resistance, Multiple, BacterialGenes, BacterialHumansIsoniazidMicrobial Sensitivity TestsMycobacterium tuberculosisOxidoreductasesPeroxiredoxinsPromoter Regions, GeneticTuberculosis, Multidrug-ResistantAntitubercular AgentsBacterial ProteinsCatalaseDNA, BacterialInhA protein, MycobacteriumIsoniazidkatG protein, Mycobacterium tuberculosisOxidoreductasesPeroxiredoxins

Identifiers

PMID30446638
PMCPMC6240042
OpenAlexW2901787864

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.