2026-06-14T03:40:10Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/166692024-09-27T18:48:43Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19611col_20.500.12105_19609
Repisalud
author
Mekonnen, Daniel
author
Munshea, Abaineh
author
Nibret, Endalkachew
author
Adnew, Bethlehem
author
Getachew, Hailu
author
Kebede, Amiro
author
Gebrewahid, Ananya
author
Herrera-León, Silvia
author
Aramendia, Aranzazu Amor
author
Benito, Agustin
author
Abascal, Estefanía
author
Jacqueline Forget, Camille
author
Aseffa, Abraham
author
Herrera-Leon, Laura
funder
Bahir Dar University (Etiopía)
funder
Instituto de Salud Carlos III
funder
International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
2023-11-14T12:44:18Z
2023-11-14T12:44:18Z
2023-10
Infect Drug Resist. 2023 Oct 26:16:6859-6870.
10.2147/IDR.S429001
1178-6973
Infection and drug resistance
37908783
http://hdl.handle.net/20.500.12105/16669
Introduction: Drug resistance (DR) in Mycobacterium tuberculosis complex (MTBC) is mainly associated with certain lineages and varies across regions and countries. The Beijing genotype is the leading resistant lineage in Asia and western countries. M. tuberculosis (Mtb) (sub) lineages responsible for most drug resistance in Ethiopia are not well described. Hence, this study aimed to identify the leading drug resistance sub-lineages and characterize first-line anti-tuberculosis drug resistance-associated single nucleotide polymorphisms (SNPs). 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.
eng
Mycobacterium tuberculosis
L.4.2.2
SIT149
Drug resistance
Ethiopia
Mycobacterium tuberculosis Sub-Lineage 4.2.2/SIT149 as Dominant Drug-Resistant Clade in Northwest Ethiopia 2020-2022: In-silico Whole-Genome Sequence Analysis
research article
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2023510
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MycobacteriumTuberculosisSub-Lineage_2023.pdf
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cbb619c046a5123073341bfb4306468b
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MycobacteriumTuberculosisSub-Lineage_2023.pdf.txt