Evidence map›Paper›PMID 30944370›Full record

ArticleScientific reports2019

Whole genome sequencing identifies bacterial factors affecting transmission of multidrug-resistant tuberculosis in a high-prevalence setting.

Avika Dixit, Luca Freschi, Roger Vargas, Roger Calderon, James Sacchettini, Francis Drobniewski, Jerome T Galea, Carmen Contreras, Rosa Yataco, Zibiao Zhang and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Article
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  7. Article
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  9. Article
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  12. Article
  13. Genomic analysis ofFrontiers in veterinary science · 2022
    Article
  14. Review
  15. Globally diverseThe Lancet. Microbe · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Towards standardisation: comparison of five whole genome sequencing (WGS) analysis pipelines for detection of epidemiologically linked tuberculosis cases.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    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

14 authors.

Avika DixitBoston Children's Hospital, Boston, MA, USA. avika.dixit@childrens.harvard.edu.ORCID http://orcid.org/0000-0002-8381-3298
Luca FreschiHarvard Medical School, Boston, MA, USA.
Roger VargasHarvard Medical School, Boston, MA, USA.
Roger CalderonSocios En Salud, Lima, Peru.
James SacchettiniTexas A&M University, College Station, TX, USA.
Francis DrobniewskiImperial College, London, UK.
Jerome T GaleaUniversity of South Florida, Tampa, FL, USA.
Carmen ContrerasSocios En Salud, Lima, Peru.
Rosa YatacoSocios En Salud, Lima, Peru.
Zibiao ZhangHarvard Medical School, Boston, MA, USA.
Leonid LeccaHarvard Medical School, Boston, MA, USA.
Sergios-Orestis KolokotronisSUNY Downstate Medical Center, Brooklyn, NY, USA.ORCID http://orcid.org/0000-0003-3309-8465
Barun MathemaMailman School of Public Health, Columbia University, New York, NY, USA.
Maha R FarhatHarvard Medical School, Boston, MA, USA.

Funding

Real-time surveillance to support dynamic and predictive models of MDR/XDR TBU19AI076217 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI FARMER, PAUL EDWARD · 2007 to 2011
$13.5M
New Tools for the interpretation of Pathogen Genomic Data with a focus on Mycobacterium tuberculosisK01ES026835 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI FARHAT, MAHA · 2015 to 2019
$1.1M
NIAID NIH HHS U19 AI076217NIEHS NIH HHS K01 ES026835
6 · The paper itself

Abstract

Whole genome sequencing (WGS) can elucidate Mycobacterium tuberculosis (Mtb) transmission patterns but more data is needed to guide its use in high-burden settings. In a household-based TB transmissibility study in Peru, we identified a large MIRU-VNTR Mtb cluster (148 isolates) with a range of resistance phenotypes, and studied host and bacterial factors contributing to its spread. WGS was performed on 61 of the 148 isolates. We compared transmission link inference using epidemiological or genomic data and estimated the dates of emergence of the cluster and antimicrobial drug resistance (DR) acquisition events by generating a time-calibrated phylogeny. Using a set of 12,032 public Mtb genomes, we determined bacterial factors characterizing this cluster and under positive selection in other Mtb lineages. Four of the 61 isolates were distantly related and the remaining 57 isolates diverged ca. 1968 (95%HPD: 1945-1985). Isoniazid resistance arose once and rifampin resistance emerged subsequently at least three times. Emergence of other DR types occurred as recently as within the last year of sampling. We identified five cluster-defining SNPs potentially contributing to transmissibility. In conclusion, clusters (as defined by MIRU-VNTR typing) may be circulating for decades in a high-burden setting. WGS allows for an enhanced understanding of transmission, drug resistance, and bacterial fitness factors.

Indexed as

AdolescentAdultAgedAged, 80 and overAntitubercular AgentsBacterial Typing TechniquesDNA, BacterialFemaleGenome, BacterialGenomicsGenotypeHumansIsoniazidMaleMiddle AgedMycobacterium tuberculosisAntitubercular AgentsDNA, BacterialIsoniazidRifampin

Identifiers

PMID30944370
PMCPMC6447560

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.