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Evaluation of whole-genome sequence to predict drug resistance of nine anti- drugs and characterize resistance genes in clinical rifampicin-resistant isolates from Ningbo, China. | LitMetric

AI Article Synopsis

Article Abstract

Setting: Controlling drug-resistant in Ningbo, China.

Objective: Whole-genome sequencing (WGS) has not been employed to comprehensively study isolates, especially rifampicin-resistant , in Ningbo, China. Here, we aim to characterize genes involved in drug resistance in RR-TB and create a prognostic tool for successfully predicting drug resistance in patients with TB.

Design: Drug resistance was predicted by WGS in a "TB-Profiler" web service after phenotypic drug susceptibility tests (DSTs) against nine anti-TB drugs among 59 clinical isolates. A comparison of consistency, sensitivity, specificity, and positive and negative predictive values between WGS and DST were carried out for each drug.

Results: The sensitivities and specificities for WGS were 95.92 and 90% for isoniazid (INH), 100 and 64.1% for ethambutol (EMB), 97.37 and 100% for streptomycin (SM), 75 and 100% for amikacin (AM), 80 and 96.3%for capreomycin (CAP), 100 and 97.22% for levofloxacin (LFX), 93.33 and 90.91% for prothionamide (PTO), and 70 and 97.96% for para-aminosalicylic acid (PAS). Around 53 (89.83%) and 6 (10.17%) of the isolates belonged to lineage two (East-Asian) and lineage four (Euro-American), respectively.

Conclusion: Whole-genome sequencing is a reliable method for predicting resistance to INH, RIF, EMB, SM, AM, CAP, LFX, PTO, and PAS with high consistency, sensitivity, and specificity. There was no transmission that occurred among the patients with RR-TB in Ningbo, China.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433565PMC
http://dx.doi.org/10.3389/fpubh.2022.956171DOI Listing

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