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SARS-CoV-2 3CLpro mutations selected in a VSV-based system confer resistance to nirmatrelvir, ensitrelvir, and GC376.
Heilmann, Emmanuel; Costacurta, Francesco; Moghadasi, Seyed Arad; Ye, Chengjin; Pavan, Matteo; Bassani, Davide; Volland, Andre; Ascher, Claudia; Weiss, Alexander Kurt Hermann; Bante, David; Harris, Reuben S; Moro, Stefano; Rupp, Bernhard; Martinez-Sobrido, Luis; von Laer, Dorothee.
  • Heilmann E; Institute of Virology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
  • Costacurta F; Institute of Virology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
  • Moghadasi SA; Department of Biochemistry, Molecular Biology and Biophysics, Institute for Molecular Virology, University of Minnesota, Minneapolis, MN 55455, United States.
  • Ye C; Texas Biomedical Research Institute, San Antonio, TX 78229, USA.
  • Pavan M; Molecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Via F. Marzolo 5, 35131, Padova, Italy.
  • Bassani D; Molecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Via F. Marzolo 5, 35131, Padova, Italy.
  • Volland A; Institute of Virology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
  • Ascher C; Institute for Biomedical Aging Research, University of Innsbruck, Innsbruck, 6020, Austria.
  • Weiss AKH; Institute for Biomedical Aging Research, University of Innsbruck, Innsbruck, 6020, Austria.
  • Bante D; Institute of Virology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
  • Harris RS; Department of Biochemistry, Molecular Biology and Biophysics, Institute for Molecular Virology, University of Minnesota, Minneapolis, MN 55455, United States.
  • Moro S; Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, United States.
  • Rupp B; Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, United States.
  • Martinez-Sobrido L; Molecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Via F. Marzolo 5, 35131, Padova, Italy.
  • von Laer D; Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
Sci Transl Med ; : eabq7360, 2022 Oct 04.
Article in English | MEDLINE | ID: covidwho-2241405
ABSTRACT
Protease inhibitors are among the most powerful antiviral drugs. Nirmatrelvir is the first protease inhibitor against the SARS-CoV-2 protease 3CLpro that has been licensed for clinical use. To identify mutations that confer resistance to this protease inhibitor, we engineered a chimeric vesicular stomatitis virus (VSV) that expressed a polyprotein composed of the VSV glycoprotein G, the SARS-CoV-2 3CLpro, and the VSV polymerase L. Viral replication was thus dependent on the autocatalytic processing of this precursor protein by 3CLpro and release of the functional viral polymerase L, and replication of this chimeric VSV was effectively inhibited by nirmatrelvir. Using this system, we applied nirmatrelvir to select for resistance mutations. Resistance was confirmed by retesting nirmatrelvir against the selected mutations in an additional VSV-based systems, in an independently developed cellular system, in a biochemical assay, and in a recombinant SARS-CoV-2 system. We demonstrate that some mutants are cross-resistant to ensitrelvir and GC376, whereas others are less resistant to these compounds. Furthermore, we found that most of these resistance mutations already existed in SARS-CoV-2 sequences that have been deposited in the NCBI and GISAID databases, indicating that these mutations were present in circulating SARS-CoV-2 strains.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Sci Transl Med Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Scitranslmed.abq7360

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Sci Transl Med Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Scitranslmed.abq7360