Discordance Between Phenotypic and WGS-Based Drug Susceptibility Testing Results for Some Anti-Tuberculosis Drugs: A Snapshot Study of Paired
drug resistance
phenotypic drug susceptibility testing
tuberculosis
whole-genome sequencing
Journal
Infection and drug resistance
ISSN: 1178-6973
Titre abrégé: Infect Drug Resist
Pays: New Zealand
ID NLM: 101550216
Informations de publication
Date de publication:
2024
2024
Historique:
received:
15
03
2024
accepted:
11
07
2024
medline:
7
8
2024
pubmed:
7
8
2024
entrez:
7
8
2024
Statut:
epublish
Résumé
Current tuberculosis treatment regimens primarily rely on phenotypic drug susceptibility testing and rapid molecular assays. Although whole-genome sequencing (WGS) offers a promising alternative, disagreements between phenotypic and molecular testing methods remain. In this retrospective study, we compared the phenotypic and WGS-predicted drug resistance profiles of paired Paired Among the 46 isolate pairs, 25 (54.3%) harbored drug-resistance-associated variants, with 20 demonstrating identical WGS-predicted drug resistance profiles. Drug-resistant isolate pairs belonged to Lineages 2 and 4, with the most common sub-lineages being 2.2.1 (SIT1 and SIT190 spoligotypes), and 4.3.3 (SIT42). Agreement between phenotypic and WGS-based drug susceptibility testing was highest (>90%) for rifampicin, isoniazid, ethambutol, fluoroquinolones, streptomycin, and amikacin when calculated for The simultaneous performance of phenotypic and WGS-based drug susceptibility testing creates the most accurate drug resistance profile for
Sections du résumé
Background
UNASSIGNED
Current tuberculosis treatment regimens primarily rely on phenotypic drug susceptibility testing and rapid molecular assays. Although whole-genome sequencing (WGS) offers a promising alternative, disagreements between phenotypic and molecular testing methods remain. In this retrospective study, we compared the phenotypic and WGS-predicted drug resistance profiles of paired
Methods
UNASSIGNED
Paired
Results
UNASSIGNED
Among the 46 isolate pairs, 25 (54.3%) harbored drug-resistance-associated variants, with 20 demonstrating identical WGS-predicted drug resistance profiles. Drug-resistant isolate pairs belonged to Lineages 2 and 4, with the most common sub-lineages being 2.2.1 (SIT1 and SIT190 spoligotypes), and 4.3.3 (SIT42). Agreement between phenotypic and WGS-based drug susceptibility testing was highest (>90%) for rifampicin, isoniazid, ethambutol, fluoroquinolones, streptomycin, and amikacin when calculated for
Conclusion
UNASSIGNED
The simultaneous performance of phenotypic and WGS-based drug susceptibility testing creates the most accurate drug resistance profile for
Identifiants
pubmed: 39108991
doi: 10.2147/IDR.S468997
pii: 468997
pmc: PMC11300831
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3289-3307Informations de copyright
© 2024 Sadovska et al.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests in this work.