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Vol.68 (2022) >

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Title: Population analysis of oseltamivir-resistant variants for the rapid prediction of drug susceptibility by real-time reverse transcription polymerase chain reaction
Authors: Sato, Masatoki
Hashimoto, Koichi
Hosoya, Mitsuaki
Affiliation: 小児科学講座
Source title: Fukushima Journal of Medical Science
Volume: 68
Issue: 3
Start page: 153
End page: 159
Issue Date: 2022
Abstract: This study investigated whether quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR), using specific probes composed of locked nucleic acids (LNA/qRT-PCR), designed to evaluate H1N1 pdm09 H275Y, H3N2 E119V and R292K variant populations, could replace a neuraminidase (NA) inhibition assay to determine the 50% inhibitory concentration (IC50) of NA activity.For H1N1 pdm09, when the H275Y variant RNA load was 50% or 70% and the infective H275Y variant load was 40% or 70%, the IC50 were >10- and 100-fold higher, respectively, than that of the wild-type (WT) strain. For H3N2, when the E119V RNA load and infective E119V variant load were >90% and >60%, respectively, the IC50 of the mixed sample was >10-fold higher than that of the WT strain. The variant-mixed samples with a 70% or 80% R292K variant RNA load and a 60% or 70% infective R292K variant load exhibited >10- and 100-fold decreased susceptibility, respectively, compared with that of the WT. A positive correlation between the variant RNA load and infective variant load populations was observed.The LNA/qRT-PCR method can be used to improve the treatment and management of patients during antiviral therapy for influenza virus infection.
Publisher: The Fukushima Society of Medical Science
Publisher (Alternative foam): 福島医学会
language: eng
URI: http://ir.fmu.ac.jp/dspace/handle/123456789/1929
Full text URL: http://ir.fmu.ac.jp/dspace/bitstream/123456789/1929/1/FksmJMedSci_68_p153.pdf
ISSN: 0016-2590
DOI: 10.5387/fms.2022-15
PubMed ID: 36047170
Related Page: https://doi.org/10.5387/fms.2022-15
Rights: © 2022 The Fukushima Society of Medical Science. This article is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 4.0 International] license.
Rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
Appears in Collections:Vol.68 (2022)

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FksmJMedSci_68_p153.pdf209.6 kBAdobe PDFDownload

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