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Browsing by Author "Ngalamika O"

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    Antimicrobial resistance and heterogeneity of Neisseria gonorrhoeae isolated from patients attending sexually transmitted infection clinics in Lusaka, Zambia.
    (2024-Mar-18) Sarenje KL; van Zwetselaar M; Kumburu H; Sonda T; Mmbaga B; Ngalamika O; Maimbolwa MC; Siame A; Munsaka S; Kwenda G; Kilimanjaro Christian Medical University College, Moshi, Tanzania.; Department of Midwifery Child, and Women's Health, School of Nursing Sciences, University of Zambia, Lusaka, Zambia.; Department of Dermato-venereology, University Teaching Hospital, Lusaka, Zambia.; Kilimanjaro Christian Medical Centre, Moshi, Tanzania.; Kilimanjaro Clinical Research Institute, Moshi, Kilimanjaro, Tanzania.; Department of Dermato-venereology, University Teaching Hospital, Lusaka, Zambia. kelvinsarenje@gmail.com.; Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, P.O. Box 50110, Zambia.; Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, P.O. Box 50110, Zambia. kelvinsarenje@gmail.com.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Antimicrobial resistance (AMR) of Neisseria gonorrhoeae is a threat to public health as strains have developed resistance to antimicrobials available for the treatment of gonorrhea. Whole genome sequencing (WGS) can detect and predict antimicrobial resistance to enhance the control and prevention of gonorrhea. Data on the molecular epidemiology of N. gonorrhoeae is sparse in Zambia. This study aimed to determine the genetic diversity of N. gonorrhoeae isolated from patients attending sexually transmitted infection (STI) clinics in Lusaka, Zambia. METHODS: A cross-sectional study that sequenced 38 N. gonorrhoeae isolated from 122 patients with gonorrhea from 2019 to 2020 was conducted. The AMR profiles were determined by the E-test, and the DNA was extracted using the NucliSens easyMaG magnetic device. Whole genome sequencing was performed on the Illumina NextSeq550 platform. The Bacterial analysis pipeline (BAP) that is readily available at: https://cge.cbs.dtu.dk/services/CGEpipeline-1.1 was used for the identification of the species, assembling the genome, multi-locus sequence typing (MLST), detection of plasmids and AMR genes. Phylogeny by single nucleotide polymorphisms (SNPs) was determined with the CCphylo dataset. RESULTS: The most frequent STs with 18.4% of isolates each were ST CONCLUSION: This study revealed remarkable heterogeneity of N. gonorrhoeae with bla

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