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Generation and evaluation of protease inhibitor-resistant SARS-CoV-2 strains (preprint)
biorxiv; 2023.
Preprint
in English
| bioRxiv | ID: ppzbmed-10.1101.2023.11.22.568013
ABSTRACT
Since the start of the SARS-CoV-2 pandemic, the search for antiviral therapies has been at the forefront of medical research. To date, the 3CLpro inhibitor nirmatrelvir (Paxlovid(R)) has shown the best results in clinical trials and the greatest robustness against variants. A second SARS-CoV-2 protease inhibitor, ensitrelvir (Xocova(R)), has been developed. Ensitrelvir, currently in Phase 3, was approved in Japan under the emergency regulatory approval procedure in November 2022, and is available since March 31, 2023. One of the limitations for the use of antiviral monotherapies is the emergence of resistance mutations. Here, we experimentally generated mutants resistant to nirmatrelvir and ensitrelvir in vitro following repeating passages of SARS-CoV-2 in the presence of both antivirals. For both molecules, we demonstrated a loss of sensitivity for resistance mutants in vitro. Using a Syrian golden hamster infection model, we showed that the ensitrelvir M49L mutation confers a high level of in vivo resistance. Finally, we identified a recent increase in the prevalence of M49L-carrying sequences, which appears to be associated with multiple repeated emergence events in Japan and may be related to the use of Xocova(R) in the country since November 2022. These results highlight the strategic importance of genetic monitoring of circulating SARS-CoV-2 strains to ensure that treatments administered retain their full effectiveness. HighlightsO_LISARS-CoV-2 resistant strains to clinical stage protease inhibitors have been generated after 16 passages in vitro C_LIO_LIThe ensitrelvir resistance mutation M49L induces a strong resistance to ensitrelvir in vitro in three different isolates C_LIO_LIM49L mutation alone renders ensitrelvir treatment ineffective in vivo C_LIO_LIThe prevalence of naturally occurring M49L-mutants has increased over recent months C_LI
Full text:
Available
Collection:
Preprints
Database:
bioRxiv
Language:
English
Year:
2023
Document Type:
Preprint
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