In vitro selection and analysis of SARS-CoV-2 nirmatrelvir resistance mutations contributing to clinical virus resistance surveillance.
Yuao ZhuIrina YurgelonisStephen NoellQingyi YangShunjie GuanZhenghui LiLi HaoHussin RothanDevendra K RaiPatricia McMonagleMary Lynn BanieckiSamantha E GreasleyOlga PlotnikovaJonathan LeeJennifer A NickiRoseAnn FerreLaura J ByrnesWei LiuTimothy K CraigClaire M SteppanPaul LiberatorHolly D SoaresCharlotte M N AllertonAnnaliesa S AndersonRhonda D CardinPublished in: Science advances (2024)
To facilitate the detection and management of potential clinical antiviral resistance, in vitro selection of drug-resistant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) against the virus M pro inhibitor nirmatrelvir (Paxlovid active component) was conducted. Six M pro mutation patterns containing T304I alone or in combination with T21I, L50F, T135I, S144A, or A173V emerged, with A173V+T304I and T21I+S144A+T304I mutations showing >20-fold resistance each. Biochemical analyses indicated inhibition constant shifts aligned to antiviral results, with S144A and A173V each markedly reducing nirmatrelvir inhibition and M pro activity. SARS-CoV-2 surveillance revealed that in vitro resistance-associated mutations from our studies and those reported in the literature were rarely detected in the Global Initiative on Sharing All Influenza Data database. In the Paxlovid Evaluation of Protease Inhibition for COVID-19 in High-Risk Patients trial, E166V was the only emergent resistance mutation, observed in three Paxlovid-treated patients, none of whom experienced COVID-19-related hospitalization or death.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- drug resistant
- coronavirus disease
- end stage renal disease
- newly diagnosed
- ejection fraction
- systematic review
- prognostic factors
- peritoneal dialysis
- public health
- multidrug resistant
- randomized controlled trial
- risk assessment
- emergency department
- clinical trial
- healthcare
- social media
- patient reported outcomes
- acinetobacter baumannii
- electronic health record
- study protocol
- health information
- open label
- single cell
- phase ii
- label free
- real time pcr
- data analysis