Evidence map›Paper›PMID 29559127›Full record

ArticleTuberculosis (Edinburgh, Scotland)2018

Genotypic drug resistance using whole-genome sequencing of Mycobacterium tuberculosis clinical isolates from North-western Tanzania.

Benson R Kidenya, Stephen E Mshana, Daniel W Fitzgerald, Oksana Ocheretina

Open access · greenAbstract read
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Genomic characterization of drug-resistantFrontiers in tuberculosis · 2026
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  8. Prevalence ofJournal of clinical tuberculosis and other mycobacterial diseases · 2023
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  9. Article
  10. Infection and drug resistance · 2023
    Article
  11. Article
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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

4 authors at 2 institutions in 2 countries.

Benson R KidenyaDepartment of Biochemistry and Molecular Biology, Catholic University of Health and Allied Sciences, P.O. Box 1464, Mwanza, Tanzania. Electronic address: benkidenya@bugando.ac.tz.
Stephen E MshanaDepartment of Medical Microbiology/Immunology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Daniel W FitzgeraldCenter for Global Health, Division of Infectious Diseases, Weill Cornell Medical College, New York, NY, USA.
Oksana OcheretinaCenter for Global Health, Division of Infectious Diseases, Weill Cornell Medical College, New York, NY, USA.
Catholic University of Health and Allied Sciences · TZCenter for Global Health · US

Funding

TUBERCULOSIS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW000018 · FIC · WEILL MEDICAL COLL OF CORNELL UNIV · PI JOHNSON, WARREN DOUGLAS · 1988 to 2012
$16.1M
Global Health Research Training in HIV and TuberculosisK24AI098627 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI FITZGERALD, DANIEL W · 2012 to 2022
$1.8M
FIC NIH HHS D43 TW000018NIAID NIH HHS K24 AI098627
6 · The paper itself

Abstract

backgroundDrug resistant Tuberculosis (TB) is considered a global public health threat. Whole-genome sequencing (WGS) is a new technology for tuberculosis (TB) diagnostics and is capable of providing rapid drug resistance profiles and genotypes for epidemiologic surveillance. Therefore, we used WGS to determine genotypic drug resistance profiles and genetic diversity of drug resistant Mycobacterium tuberculosis isolates from Mwanza, North-western Tanzania.

methodsA cross-sectional study was conducted at the Bugando Medical Center (BMC) from September 2014 to June 2015. Consecutively, smear-positive newly diagnosed TB patients aged ≥18 years were enrolled. Sputum samples were cultured on Löwenstein-Jensen (LJ) slants. Mycobacterial genomic DNA was extracted for WGS to determine drug resistant mutations for first and second line drugs as well as the spoligotypes.

resultsA total of 78 newly diagnosed patients with pulmonary TB with a median age of 37 [IQR: 30-46] years were enrolled. Of these, 57.8% (45/74) were males and 34.6% (27/78) were HIV positive. Mycobacterium tuberculosis genomic DNA for WGS was obtained from isolates in 74 (94.9%) patients. Of the 74 isolates, six (8.1%) isolates harbored mutations for resistance to at least one drug. The resistance to the drugs was isoniazid 3/74 (4.1%), rifampicin mono-resistant 2/74 (2.7%), ethambutol 2/74 (2.7%) and streptomycin 1/74 (1.4%). None was isoniazid mono-resistant. Of the 74 only one (1.4%) patient had MDR-TB. The resistance to ethionamide, the second line drug, was detected in one patient (1.4%). None was resistant to pyrazinamide, fluoroquinolones, kanamycin, amikacin, or capreomycin. The mutations detected were mabA-inhA promoter region C(-15)T and katG Ser513Thr for isoniazid; rpoB His526Leu and rpoB Ser531Leu for rifampicin; embB Met306Val and embB Met306Ile for ethambutol; rpsL Lys43Arg for streptomycin; and mabA-inhA promoter region C(-15)T for ethionamide. The spoligotypes of the drug resistant Mycobacterium tuberculosis were distinct to all six isolates and belonged to T1, T2, T3-ETH, CAS1-DELHI, EAI5 and LAM11-ZWE lineages.

conclusionThe genetic drug resistance profile of Mycobacterium tuberculosis isolates from North-western Tanzania comprises of the common previously reported mutations. The prevalence of resistance to first and second line drugs including MDR-TB is low. Six drug resistant strains exhibited different spoligotypes, suggesting limited transmission of drug resistant strains in the region.

Indexed as

Bacteriological TechniquesExome SequencingMutationAdultAntitubercular AgentsCross-Sectional StudiesDNA, BacterialDNA Mutational AnalysisDrug Resistance, Multiple, BacterialFemaleGenotypeHumansMaleMicrobial Sensitivity TestsMiddle AgedMolecular EpidemiologyAntitubercular AgentsDNA, Bacterial

Identifiers

PMID29559127
PMCPMC5912878
OpenAlexW2794091594

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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.