Evidence map›Paper›PMID 22984115›Full record

ArticleThe Journal of infectious diseases2012

Dynamic population changes in Mycobacterium tuberculosis during acquisition and fixation of drug resistance in patients.

Gang Sun, Tao Luo, Chongguang Yang, Xinran Dong, Jing Li, Yongqiang Zhu, Huajun Zheng, Weidong Tian, Shengyue Wang, Clifton E Barry and 2 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 2 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

113 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Rapid detection of rifampin resistance inMicrobiology spectrum · 2025
    Article
  7. Dissecting rifampicin heteroresistance inJournal of medical microbiology · 2025
    Article
  8. Article
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  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Roles of Lipolytic enzymes inFrontiers in microbiology · 2024
    Review
  20. Genomic markers of drug resistance inJournal of clinical microbiology · 2023
    Article

53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Gang SunKey Laboratory of Medical Molecular Virology, Institutes of Biomedical Sciences and Institute of Medical Microbiology, Fudan University, Shanghai, China.
Tao Luo
Chongguang Yang
Xinran Dong
Jing Li
Yongqiang Zhu
Huajun Zheng
Weidong Tian
Shengyue Wang
Clifton E Barry
Jian Mei
Qian Gao

Funding

International Tuberculosis Research in ChinaZIAAI001081 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2010 to 2025
$12.2M
UC Davis-China Infectious Disease Research TrainingD43TW007887 · FIC · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DERIEMER, KATHRYN L · 2008 to 2012
$743k
FIC NIH HHS D43 TW007887FIC NIH HHS D43TW007887
6 · The paper itself

Abstract

backgroundDrug-resistant tuberculosis poses a growing challenge to global public health. However, the diversity and dynamics of the bacterial population during acquisition of drug resistance have yet to be carefully examined.

methodsWhole-genome sequencing was performed on 7 serial Mycobacterium tuberculosis (M. tuberculosis) populations from 3 patients during different stages in the development of drug resistance. The population diversity was assessed by the number and frequencies of unfixed mutations in each sample.

resultsFor each bacterial population, 8-41 unfixed mutations were monitored by the fraction of single-nucleotide polymorphisms at specific loci. Among them, as many as 4 to 5 resistance-conferring mutations were transiently detected in the same single sputum, but ultimately only a single type of mutant was fixed. In addition, we identified 14 potential compensatory mutations that occurred during or after the emergence of resistance-conferring mutations.

conclusionsM. tuberculosis population within patients exhibited considerable genetic diversity, which underwent selections for most fit resistant mutant. These findings have important implications and emphasize the need for early diagnosis of tuberculosis to decrease the chance of evolving highly fit drug-resistant strains.

Indexed as

Drug Resistance, Multiple, BacterialAntitubercular AgentsBacterial ProteinsBiological EvolutionGene Expression Regulation, BacterialGenome, BacterialHumansMutationMycobacterium tuberculosisTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryAntitubercular AgentsBacterial Proteins

Identifiers

PMID22984115
PMCPMC3488197

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.