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Mechanisms of first-line antimicrobial resistance in multi-drug and extensively drug resistant strains of Mycobacterium tuberculosis in KwaZulu-Natal, South Africa

Overview of attention for article published in BMC Infectious Diseases, October 2016
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Title
Mechanisms of first-line antimicrobial resistance in multi-drug and extensively drug resistant strains of Mycobacterium tuberculosis in KwaZulu-Natal, South Africa
Published in
BMC Infectious Diseases, October 2016
DOI 10.1186/s12879-016-1906-3
Pubmed ID
Authors

Navisha Dookie, A. Willem Sturm, Prashini Moodley

Abstract

In South Africa, drug resistant tuberculosis is a major public health crisis in the face of the colossal HIV pandemic. In an attempt to understand the distribution of drug resistance in our setting, we analysed the rpoB, katG, inhA, pncA and embB genes associated with resistance to key drugs used in the treatment of tuberculosis in clinical isolates of Mycobacterium tuberculosis in the KwaZulu-Natal province. Classical mutations were detected in the katG, inhA and embB genes associated with resistance to isoniazid and ethambutol. Diverse mutations were recorded in the multidrug resistant (MDR) and extensively drug resistant (XDR) isolates for the rpoB and pncA gene associated with resistance to rifampicin and pyrazinamide. M.tuberculosis strains circulating in our setting display a combination of previously observed mutations, each mediating resistance to a different drug. The MDR and XDR TB isolates analysed in this study displayed classical mutations linked to INH and EMB resistance, whilst diverse mutations were linked to RIF and PZA resistance. The similarity of the XDR strains confirms reports of the clonality of the XDR epidemic. The successful dissemination of the drug resistant strains in the province underscores the need for rapid diagnostics to effectively diagnose drug resistance and guide treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 16%
Researcher 11 12%
Student > Bachelor 11 12%
Other 7 8%
Student > Ph. D. Student 7 8%
Other 18 20%
Unknown 22 24%
Readers by discipline Count As %
Medicine and Dentistry 21 23%
Biochemistry, Genetics and Molecular Biology 16 18%
Immunology and Microbiology 10 11%
Agricultural and Biological Sciences 5 5%
Unspecified 3 3%
Other 10 11%
Unknown 26 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 May 2017.
All research outputs
#20,353,668
of 22,901,818 outputs
Outputs from BMC Infectious Diseases
#6,485
of 7,692 outputs
Outputs of similar age
#271,451
of 314,051 outputs
Outputs of similar age from BMC Infectious Diseases
#162
of 224 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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