Evidence map›Paper›PMID 31311987›Full record

ArticleScientific reports2019

Identification and Characterization of Genetic Determinants of Isoniazid and Rifampicin Resistance in Mycobacterium tuberculosis in Southern India.

Asma Munir, Narender Kumar, Suresh Babu Ramalingam, Sembulingam Tamilzhalagan, Siva Kumar Shanmugam, Alangudi Natarajan Palaniappan, Dina Nair, Padma Priyadarshini, Mohan Natarajan, Srikanth Tripathy and 5 more

Open access · goldAbstract 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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 40 citations in OpenAlex.

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  10. Prevalence ofJournal of clinical tuberculosis and other mycobacterial diseases · 2023
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  12. High-Throughput Variant Detection Using a Color-Mixing Strategy.The Journal of molecular diagnostics : JMD · 2022
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  13. Article
  14. Compensatory effects ofEmerging microbes & infections · 2021
    Article
  15. Article
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  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

15 authors at 4 institutions in 3 countries.

Asma MunirDepartment of Biochemistry, University of Cambridge, Tennis Court. Rd., Cambridge, CB2 1GA, UK.
Narender KumarDepartment of Medicine, University of Cambridge, Hills Rd., Cambridge, CB2 0QQ, UK.
Suresh Babu RamalingamICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Sembulingam TamilzhalaganICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Siva Kumar ShanmugamICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Alangudi Natarajan PalaniappanICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Dina NairICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Padma PriyadarshiniICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Mohan NatarajanICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Srikanth TripathyICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Uma Devi RanganathanICMR-National Institute for Research in Tuberculosis, Chennai, 600031, India.
Sharon J PeacockDepartment of Medicine, University of Cambridge, Hills Rd., Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0002-1718-2782
Julian ParkhillWellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.ORCID http://orcid.org/0000-0002-7069-5958
Tom L BlundellDepartment of Biochemistry, University of Cambridge, Tennis Court. Rd., Cambridge, CB2 1GA, UK. tom@cryst.bioc.cam.ac.uk.ORCID http://orcid.org/0000-0002-2708-8992
Sony MalhotraDepartment of Biochemistry, University of Cambridge, Tennis Court. Rd., Cambridge, CB2 1GA, UK. s.malhotra@mail.cryst.bbk.ac.uk.
National Institute of Research in Tuberculosis · INUniversity of Cambridge · GBUniversity of London · GBWellcome Sanger Institute · GB

Funding

Medical Research Council MR/N501864/1
6 · The paper itself

Abstract

Drug-resistant tuberculosis (TB), one of the leading causes of death worldwide, arises mainly from spontaneous mutations in the genome of Mycobacterium tuberculosis. There is an urgent need to understand the mechanisms by which the mutations confer resistance in order to identify new drug targets and to design new drugs. Previous studies have reported numerous mutations that confer resistance to anti-TB drugs, but there has been little systematic analysis to understand their genetic background and the potential impacts on the drug target stability and/or interactions. Here, we report the analysis of whole-genome sequence data for 98 clinical M. tuberculosis isolates from a city in southern India. The collection was screened for phenotypic resistance and sequenced to mine the genetic mutations conferring resistance to isoniazid and rifampicin. The most frequent mutation among isoniazid and rifampicin isolates was S315T in katG and S450L in rpoB respectively. The impacts of mutations on protein stability, protein-protein interactions and protein-ligand interactions were analysed using both statistical and machine-learning approaches. Drug-resistant mutations were predicted not only to target active sites in an orthosteric manner, but also to act through allosteric mechanisms arising from distant sites, sometimes at the protein-protein interface.

Indexed as

Drug Resistance, BacterialAdultAllosteric RegulationAntitubercular AgentsBacterial ProteinsCatalaseDNA-Directed RNA PolymerasesHumansIndiaIsoniazidMachine LearningModels, MolecularMutationMycobacterium tuberculosisProtein ConformationProtein StabilityAntitubercular AgentsBacterial ProteinsCatalaseDNA-Directed RNA PolymerasesIsoniazidkatG protein, Mycobacterium tuberculosisRifampinrpoB protein, Mycobacterium tuberculosis

Identifiers

PMID31311987
PMCPMC6635374
OpenAlexW2961052769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.