Evidence map›Paper›PMID 28498943›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2017

Mycobacterium tuberculosis Whole Genome Sequences From Southern India Suggest Novel Resistance Mechanisms and the Need for Region-Specific Diagnostics.

Abigail L Manson, Thomas Abeel, James E Galagan, Jagadish Chandrabose Sundaramurthi, Alex Salazar, Thies Gehrmann, Siva Kumar Shanmugam, Kannan Palaniyandi, Sujatha Narayanan, Soumya Swaminathan and 1 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Whole-Genome Sequencing ofMicroorganisms · 2023
    Article
  8. Distribution and origins ofMicrobial genomics · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Frontiers in cellular and infection microbiology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Abigail L MansonBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Thomas AbeelBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
James E GalaganDepartment of Biomedical Engineering, and.
Jagadish Chandrabose SundaramurthiNational Institute for Research in Tuberculosis, New Delhi, India.
Alex SalazarBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Thies GehrmannDelft Bioinformatics Lab, Delft University of Technology, The Netherlands.
Siva Kumar ShanmugamNational Institute for Research in Tuberculosis, New Delhi, India.
Kannan PalaniyandiNational Institute for Research in Tuberculosis, New Delhi, India.
Sujatha NarayananNational Institute for Research in Tuberculosis, New Delhi, India.
Soumya SwaminathanNational Institute for Research in Tuberculosis, New Delhi, India.
Ashlee M EarlBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
National Institute of Research in Tuberculosis · INDelft University of Technology · NLBroad Institute · USBoston University · US

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI CUOMO, CHRISTINA A · 2014 to 2024
$66.5M
NIAID NIH HHS HHSN272200900018CNIAID NIH HHS U19 AI110818
6 · The paper itself

Abstract

BACKGROUND.: India is home to 25% of all tuberculosis cases and the second highest number of multidrug resistant cases worldwide. However, little is known about the genetic diversity and resistance determinants of Indian Mycobacterium tuberculosis, particularly for the primary lineages found in India, lineages 1 and 3. METHODS.: We whole genome sequenced 223 randomly selected M. tuberculosis strains from 196 patients within the Tiruvallur and Madurai districts of Tamil Nadu in Southern India. Using comparative genomics, we examined genetic diversity, transmission patterns, and evolution of resistance. RESULTS.: Genomic analyses revealed (11) prevalence of strains from lineages 1 and 3, (11) recent transmission of strains among patients from the same treatment centers, (11) emergence of drug resistance within patients over time, (11) resistance gained in an order typical of strains from different lineages and geographies, (11) underperformance of known resistance-conferring mutations to explain phenotypic resistance in Indian strains relative to studies focused on other geographies, and (11) the possibility that resistance arose through mutations not previously implicated in resistance, or through infections with multiple strains that confound genotype-based prediction of resistance. CONCLUSIONS.: In addition to substantially expanding the genomic perspectives of lineages 1 and 3, sequencing and analysis of M. tuberculosis whole genomes from Southern India highlight challenges of infection control and rapid diagnosis of resistant tuberculosis using current technologies. Further studies are needed to fully explore the complement of diversity and resistance determinants within endemic M. tuberculosis populations.

Indexed as

Genome, BacterialAdultAntitubercular AgentsBase SequenceDrug Resistance, Multiple, BacterialFemaleGenetic VariationHumansIndiaMaleMutationMycobacterium tuberculosisPhylogenyPolymerase Chain ReactionTuberculosisAntitubercular AgentsCAS lineagedrug resistance.EAI lineageIndiaIndo-Oceanic lineage

Identifiers

PMID28498943
PMCPMC5434337
OpenAlexW2612109212

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.