ArticleInfection and drug resistance2023
Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distribution of Mycobacterium Tuberculosis Lineages and Sublineages by Drug Profile in Ethiopia: A Systematic Review and Meta-Analysis.Journal of epidemiology and global health · 2025Pooled it
- Genetic diversity and drug resistance profiles ofMicrobiology spectrum · 2026Article
- Rifampicin-resistantJournal of clinical tuberculosis and other mycobacterial diseases · 2025Article
- Whole-genome sequencing analysis to identify antimicrobial resistance regions and virulence factors in Mycobacterium tuberculosis isolates from the Amhara Region, Ethiopia.Scientific reports · 2025Article
- Integrating genomic, transcriptomic, and phenotypic information to explore drug resistance in Mycobacterium tuberculosis sub-lineage 4.2.2.2.Journal of applied microbiology · 2025Article
- Genotypic drug resistance and transmission clusters of Mycobacterium tuberculosis isolates among Ethiopian returnees from Saudi Arabia.PloS one · 2025Article
- Trend and forecast of measles disease, in East Gojjam Zone, Amhara Region, Northwest Ethiopia, 2023: a crossectional study.BMC research notes · 2024Article
- Phenotypic and Genotypic Drug Resistance ofPathogens (Basel, Switzerland) · 2024Article
- Comparative growth kinetics and drug susceptibility ofFrontiers in microbiology · 2024Article
- Patterns and profiles of drug resistance-conferring mutations inFrontiers in public health · 2024Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Introduction: Drug resistance (DR) in Methods: A facility-based cross-sectional study was conducted in 2020-2022 among new and presumptive multidrug resistant-TB (MDR-TB) cases in Northwest Ethiopia. Whole-genome sequencing (WGS) was performed on 161 isolates using Illumina NovaSeq 6000 technology. The SNP mutations associated with drug resistance were identified using MtbSeq and TB profiler Bioinformatics softwares. Results: Of the 146 Mtb isolates that were successfully genotyped, 20 (13.7%) harbored one or more resistance-associated SNPs. L4.2.2.ETH was the leading drug-resistant sub-lineage, accounting for 10/20 (50%) of the resistant Mtb. MDR-TB isolates showed extensive mutations against first-line anti-TB drugs. Ser450Leu/(tcg/tTg) for Rifampicin (RIF), Ser315Thr/(agc/aCc) for Isoniazid (INH), Met306Ile/(atg/atA(C)) for Ethambutol (EMB), and Gly69Asp for Streptomycin (STR) were the leading resistance associated mutations which accounted for 56.5%, 89.5%, 47%, and 29.4%, respectively. The presence of both clustered and non-clustered drug resistance (DR) isolates indicated that the epidemics is driven by both new DR development and acquired resistance. Conclusion: The high prevalence of drug-resistant TB due to geographically restricted sub-lineages (L4.2.2.ETH) indicates the ongoing local micro epidemics. The Mtb drug resistance surveillance system must be improved. Further evolutionary analysis of L4.2.2.ETH strain is highly desirable to understand evolutionary forces that leads L4.2.2.ETH in to high level DR and transmissible sub-lineage.
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