Characterization of Genetic Mutations in Multi-Drug-Resistant Isolates of Mycobacterium tuberculosis Bacilli Conferring Resistance to a Second-Line Anti-tuberculosis Drug
- PMID: 37456413
- PMCID: PMC10349655
- DOI: 10.7759/cureus.40442
Characterization of Genetic Mutations in Multi-Drug-Resistant Isolates of Mycobacterium tuberculosis Bacilli Conferring Resistance to a Second-Line Anti-tuberculosis Drug
Abstract
Introduction: Multi-drug-resistant tuberculosis (MDR-TB) has become a major public health concern globally. Mutations in first- and second-line drug targets such as katG, inhA, rpoB, rrs, eis, gyrA, and gyrB have been associated with drug resistance. Monitoring predominant mutations in the MDR-TB patient population is essential to monitor and devise future therapeutic regimes. The present study is aimed to characterize genetic mutations in MDR isolates of Mycobacterium tuberculosis (MTB) bacilli conferring resistance to a second-line anti-tuberculosis drug in the Eastern Indian population.
Methods: This cross-sectional study was conducted in the Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, and in the Tuberculosis Demonstration & Training Centre, Agamkuan, Patna. A total of 3270 patients suspected to have MDR-TB were recruited in the study. Two sputum samples, one on the spot, and the other in the morning were collected from each patient and the diagnosis of rifampicin-sensitive (RS)/rifampicin-resistant (RR/MDR) TB was done by Gene-Xpert test. One hundred fifty RS-TB samples and 150 RR/MDR-TB samples were considered for line probe assay (LPA). RS samples were subjected to first-line LPA using Genotype® MTBDR Plus ver 2.0 and RR/MDR samples were considered for second-line LPA using Genotype® MTBDRsl ver 2.0. All sputum samples were subjected to sputum smear microscopy using the Ziehl-Neelsen staining method. Statistical analysis was done using Statistical Package for Social Sciences (SPSS) version 26.0 (IBM Corp. Armonk, NY) and R (version 4.1; R Core Team 2021).
Results: In the present study, out of 3270 patients, we detected RR/MDR-TB in 235 patients (7.19%), RS-TB in 812 patients (24.83%), the rest of the patients negative for MTB (2223, 67.98%). Out of 150 RR/MDR-TB sputum samples tested, resistance to fluoroquinolone (FQ) was observed in 41 samples. The selected patients had predominantly FQ resistance due to the gyrA gene mutations (97.56%, n=40) compared to the gyrB gene mutations (2.44%, n=1). We observed >60% of the mutations in the gyrA gene in codon 94 (MUT3C (D94G), MUT3A (D94A), and MUT3D (D94H). In addition, we found the mutations MUT1 (A90V) and MUT2 (S91P) in the codons 90 and 91 of the gyrA gene in the considered MTB patient population.
Conclusion: The identified genes can be further validated to be considered as therapeutic targets, but more therapeutics and advanced strategies should be applied in the management of MTB.
Keywords: drug resistance; gyra; gyrb; mdr-tb; mutation; mycobacterium tuberculosis.
Copyright © 2023, Sharma et al.
Conflict of interest statement
The authors have declared that no competing interests exist.
Similar articles
-
Drug-resistant Mycobacterium tuberculosis among Nepalese patients at a tuberculosis referral center.PLoS One. 2024 May 6;19(5):e0301210. doi: 10.1371/journal.pone.0301210. eCollection 2024. PLoS One. 2024. PMID: 38709710 Free PMC article.
-
Genotypic analysis of drug-resistant tuberculosis in Ghana: Insights into pre-XDR and XDR-TB.PLoS One. 2025 May 20;20(5):e0323527. doi: 10.1371/journal.pone.0323527. eCollection 2025. PLoS One. 2025. PMID: 40392805 Free PMC article.
-
First report of molecular detection of fluoroquinolone resistance-associated gyrA mutations in multidrug-resistant clinical Mycobacterium tuberculosis isolates in Kuwait.BMC Res Notes. 2011 Apr 14;4:123. doi: 10.1186/1756-0500-4-123. BMC Res Notes. 2011. PMID: 21492420 Free PMC article.
-
Multidrug-resistant tuberculosis control in Rwanda overcomes a successful clone that causes most disease over a quarter century.J Clin Tuberc Other Mycobact Dis. 2022 Jan 24;27:100299. doi: 10.1016/j.jctube.2022.100299. eCollection 2022 May. J Clin Tuberc Other Mycobact Dis. 2022. PMID: 35146133 Free PMC article. Review.
-
Machine Learning of the Whole Genome Sequence of Mycobacterium tuberculosis: A Scoping PRISMA-Based Review.Microorganisms. 2023 Jul 25;11(8):1872. doi: 10.3390/microorganisms11081872. Microorganisms. 2023. PMID: 37630431 Free PMC article. Review.
Cited by
-
Analysis of the Results of Tuberculosis Drug Resistance Surveillance in Yuexiu District, Guangzhou City, 2013-2022.Immun Inflamm Dis. 2024 Nov;12(11):e70060. doi: 10.1002/iid3.70060. Immun Inflamm Dis. 2024. PMID: 39601458 Free PMC article.
-
Prevalence and Genetic Profiling of Second-line Drug Resistant Tuberculosis at the Tertiary Care Center of Northern India.Curr Microbiol. 2025 Mar 7;82(4):176. doi: 10.1007/s00284-025-04152-x. Curr Microbiol. 2025. PMID: 40053148
References
-
- WHO: global tuberculosis report 2022. [ Mar; 2023 ]. 2022. https://www.who.int/teams/global-tuberculosis-programme/tb-reports/globa... https://www.who.int/teams/global-tuberculosis-programme/tb-reports/globa... - PubMed
-
- First- and second-line drug resistance patterns among previously treated tuberculosis patients in India. Paramasivan CN, Rehman F, Wares F, Sundar Mohan N, Sundar S, Devi S, Narayanan PR. https://pubmed.ncbi.nlm.nih.gov/20074419/ Int J Tuberc Lung Dis. 2010;14:243–246. - PubMed
-
- Drug resistant tuberculosis: a review. Khawbung JL, Nath D, Chakraborty S. Comp Immunol Microbiol Infect Dis. 2021;74:101574. - PubMed
LinkOut - more resources
Full Text Sources
Miscellaneous