Browsing by Author "Mokomane, Margaret"

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    Detection of second line drug resistance among drug resistant Mycobacterium tuberculosis isolates in Botswana
    (MDPI, 2019-10-28) Mogashoa, Tuelo; Melamu, Pinkie; Derendinger, Brigitta; Ley, Serej D.; Streicher, Elizabeth M.; Iketleng, Thato; Mupfumi, Lucy; Mokomane, Margaret; Kgwaadira, Botshelo; Rankgoane-Pono, Goabaone; Tsholofelo, Thusoyaone T.; Kasvosve, Ishmael; Moyo, Sikhulile; Warren, Robin M.; Gaseitsiwe, Simani
    ENGLISH ABSTRACT: The emergence and transmission of multidrug resistant (MDR) and extensively drug resistant (XDR) Mycobacterium tuberculosis (M.tb) strains is a threat to global tuberculosis (TB) control. The early detection of drug resistance is critical for patient management. The aim of this study was to determine the proportion of isolates with additional second-line resistance among rifampicin and isoniazid resistant and MDR-TB isolates. A total of 66 M.tb isolates received at the National Tuberculosis Reference Laboratory between March 2012 and October 2013 with resistance to isoniazid, rifampicin or both were analyzed in this study. The genotypes of the M.tb isolates were determined by spoligotyping and second-line drug susceptibility testing was done using the Hain Genotype MTBDRsl line probe assay version 2.0. The treatment outcomes were defined according to the Botswana national and World Health Organization (WHO) guidelines. Of the 57 isolates analyzed, 33 (58%) were MDR-TB, 4 (7%) were additionally resistant to flouroquinolones and 3 (5%) were resistant to both fluoroquinolones and second-line injectable drugs. The most common fluoroquinolone resistance-conferring mutation detected was gyrA A90V. All XDR-TB cases remained smear or culture positive throughout the treatment. Our study findings indicate the importance of monitoring drug resistant TB cases to ensure rapid detection of second-line drug resistance.
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    Genetic diversity of Mycobacterium tuberculosis strains circulating in Botswana
    (PLoS, 2019-05-07) Mogashoa, Tuelo; Melamu, Pinkie; Ley, Serej D.; Streicher, Elizabeth M.; Iketleng, Thato; Kelentse, Nametso; Mupfumi, Lucy; Mokomane, Margaret; Kgwaadira, Botshelo; Novitsky, Vladimir; Kasvosve, Ishmael; Moyo, Sikhulile; Warren, Robin M.; Gaseitsiwe, Simani
    Background: Molecular typing of Mycobacterium tuberculosis (M.tb) isolates can inform Tuberculosis (TB) control programs on the relative proportion of transmission driving the TB epidemic. There is limited data on the M. tb genotypes that are circulating in Botswana. The aim of this study was to generate baseline data on the genetic diversity of M.tb isolates circulating in the country. Methods: A total of 461 M.tb isolates received at the Botswana National Tuberculosis Reference Laboratory between March 2012 and October 2013 were included in this study. Drug susceptibility testing was conducted using the BD BACTEC MGIT 960 System. M.tb strains were genotyped using spoligotyping and spoligotype patterns were compared with existing patterns in the SITVIT Web database. A subset of drug resistant isolates which formed spoligo clusters (n = 65) was additionally genotyped with 12-loci MIRU. Factors associated with drug resistance and clustering were evaluated using logistic regression. Results: Of the 461 isolates genotyped, 458 showed 108 distinct spoligotype patterns. The predominant M.tb lineages were Lineage 4 (81.9%), Lineage 2 (9%) and Lineage 1 (7.2%). The predominant spoligotype families within Lineage 4 were LAM (33%), S (14%), T (16%), X (16%). Three hundred and ninety-two (86%) isolates could be grouped into 44 clusters (2– 46 isolates per cluster); giving a clustering rate of 76%. We identified 173 (37.8%) drug resistant isolates, 48 (10.5%) of these were multi-drug resistant. MIRU typing of the drug resistant isolates allowed grouping of 46 isolates into 14 clusters, giving a clustering rate of 49.2%. There was no association between age, sex, treatment category, region and clustering. Conclusions: This study highlights the complexity of the TB epidemic in Botswana with multiple strains contributing to disease and provides baseline data on the population structure of M.tb strains in Botswana.