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. 2017:2017:8340746.
doi: 10.1155/2017/8340746. Epub 2017 Jan 18.

Phenotypic and Genotypic Analysis of Multidrug-Resistant Mycobacterium tuberculosis Isolates from Sudanese Patients

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Phenotypic and Genotypic Analysis of Multidrug-Resistant Mycobacterium tuberculosis Isolates from Sudanese Patients

Solima M A Sabeel et al. Tuberc Res Treat. 2017.

Abstract

Background. Currently, mutations in rpoB, KatG, and rrs genes and inhA promoter were considered to be involved in conferring resistance to rifampicin, isoniazid, and streptomycin in Mycobacterium tuberculosis (MTB). Objective. The aims of this study were to detect the prevalence of first-line tuberculosis (TB) drug resistance among a group of previously treated and newly detected TB patients, to determine the association between prevalence of multidrug resistance (MDR) and demographic information (age and sex), to explain genes correlated with MDR Mycobacterium tuberculosis, and to characterize MTB via 16S ribosomal RNA (16S rRNA) analysis. Methods. A hundred MTB isolates from Sudanese pulmonary TB patients were included in the study. The proportional method of drug susceptibility test was carried out on Löwenstein-Jensen media. Multiplex PCR of rpoB and KatG genes and inhA promoter was conducted; then rrs genes were amplified by conventional PCR and were sequenced. The sequences of the PCR product were compared with known rrs gene sequences in the GenBank database by multiple sequence alignment tools. Result. The prevalence of MDR was 14.7% among old cases and 5.3% among newly diagnosed cases. Conclusion. Mutations in rrs could be considered as a diagnostic marker.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
(a) Gel electrophoresis of PCR product. Lanes 1 and 5: DNA marker 1000+. Lanes 2, 3, and 4: amplified DNA products, 1500 bp. (b) Chromatogram sequence of 16S rRNA visualized via Finch TV software. (c) Alignment determining novel mutation at position 222, transversion of C to A in isolates 9, 10, and 11 via BioEdit software. (d) Phylogenetic tree using Phylogeny.fr software.

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