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.
ABSTRACT
Tuberculosis (TB) remains a major public health problem worldwide due to its high risk of person-to-person transmission, morbidity and mortality [1]. Sudan has a high burden of tuberculosis. Spoligotyping (spacer oligonucleotide typing) a rapid method for genotyping of Mycobacterium tuberculosis using the principle of reverse hybridization. The ecology of the prevalent mycobacteria strain can vary depending on country and region. The aim of this study was to determine the genotyping of Mycobacterium tuberculosis isolated from Sudan using spoligotyping SPOLDB4. A total of 75 Mycobacterium tuberculosis sputum samples were collected from pulmonary Tuberculosis patients attending references Laboratories and diagnostic centers in Khartoum and Eastern Sudan in (2011-2013). The mycobacteria were genotyped using Spoligotyping technique and data obtained were analyzed and compared to the SPOLDB4 database. Among the 75 isolate analyzed, 57(76%) were identified by SPOLDB4 and 18 (24%) could not be matched to any lineages. The most prevalent genotype cluster was MANU2 38 (50.7%) followed by CASI Delhi 8 (10.7%). In the study SIT54 was the most common pattern 37 (49.3%) followed by SIT25 6(8%).
