Evidence map›Paper›PMID 26092854›Full record

ArticleThe Journal of infectious diseases2016

Fitness Costs of Drug Resistance Mutations in Multidrug-Resistant Mycobacterium tuberculosis: A Household-Based Case-Control Study.

Phillip P Salvatore, Mercedes C Becerra, Pia Abel zur Wiesch, Trevor Hinkley, Devinder Kaur, Alexander Sloutsky, Ted Cohen

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Whole-Genome Sequence-Based Diversity ofPathogens (Basel, Switzerland) · 2025
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  5. Molecular Analysis of Anti-Tuberculosis Drug Resistance ofAntibiotics (Basel, Switzerland) · 2023
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Genetic Evolution ofCanadian respiratory journal · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Interaction betweenInfection and drug resistance · 2018
    Article
  18. T CELL EPITOPES OF THEAfrican journal of infectious diseases · 2018
    Article
  19. Transmissible Mycobacterium tuberculosis Strains Share Genetic Markers and Immune Phenotypes.American journal of respiratory and critical care medicine · 2017
    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

7 authors at 4 institutions in 1 country.

Phillip P SalvatoreDepartment of Epidemiology, Harvard School of Public Health Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Mercedes C BecerraDepartment of Global Health and Social Medicine, Harvard Medical School.
Pia Abel zur WieschEpidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut.
Trevor HinkleyEpidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut.
Devinder KaurMassachusetts Supranational TB Reference Laboratory, University of Massachusetts Medical School, Boston.
Alexander SloutskyMassachusetts Supranational TB Reference Laboratory, University of Massachusetts Medical School, Boston.
Ted CohenEpidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut.
Yale University · USUniversity of Massachusetts Chan Medical School · USHarvard Global Health Institute · USJohns Hopkins University · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Molecular epidemiology of drug-resistant tuberculosis in PeruK01HL080939 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI BECERRA, MERCEDES C · 2005 to 2009
$680k
NHLBI NIH HHS K01 HL080939NIGMS NIH HHS U54 GM088558NIGMS NIH HHS U54GM088558
6 · The paper itself

Abstract

backgroundThe projected long-term prevalence of multidrug-resistant (MDR) tuberculosis depends upon the relative fitness of MDR Mycobacterium tuberculosis strains, compared with non-MDR strains. While many experimental models have tested the in vitro or in vivo fitness costs of various drug resistance mutations, fewer epidemiologic studies have attempted to validate these experimental findings.

methodsWe performed a case-control study comparing drug resistance-associated mutations from MDR M. tuberculosis strains causing multiple cases in a household to matched MDR strains without evidence of secondary household cases.

resultsEighty-eight multiple-case and 88 single-case household MDR strains were analyzed for 10 specific drug resistance-associated polymorphisms previously associated with fitness effects. We found that the isoniazid-resistant katG Ser315Thr mutation occurred more than twice as frequently in multiple-case households than in single-case households (odds ratio [OR], 2.39; 95% confidence interval [CI], 1.21-4.70), corroborating previous experimental findings. However, strains carrying both the katG Ser315Thr mutation and the rpsL Lys43Arg mutation were less likely to be found in multiple-case households (OR, 0.09; 95% CI, .01-.73), suggesting a negative epistatic interaction which contrasts previous findings.

conclusionsThe case-control design presents a useful approach for assessing in vivo fitness effects of drug resistance mutations.

Indexed as

AdultCase-Control StudiesDrug Resistance, Multiple, BacterialFamily CharacteristicsFemaleGenetic FitnessHumansMaleMolecular EpidemiologyMutationMycobacterium tuberculosisPeruTuberculosis, Multidrug-Resistantantibiotic resistancecase-control studyepistasisfitness costkatG; rpsLLima, PeruMDR M. tuberculosismolecular epidemiologytransmission

Identifiers

PMID26092854
PMCPMC4676541
OpenAlexW2124801518

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.