Spike Protein Genetic Evolution in Patients at High Risk of Severe Coronavirus Disease 2019 Treated by Monoclonal Antibodies
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Updated: Jul 10, 2025

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
Published on: February 16, 2022
Valentin Leducq1, Karen Zafilaza1, Antoine Fauchois1
1Sorbonne Université, Inserm, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, Laboratoire de virologie, Paris, France.
Background:
High-risk patients, often immunocompromised and not responding to vaccine, continue to experience severe coronavirus disease 2019 (COVID-19) and death. Monoclonal antibodies (mAbs) were shown to be effective to prevent severe COVID-19 for these patients. Nevertheless, concerns about the emergence of resistance mutations were raised.
Methods:
We conducted a multicentric prospective cohort study, including 264 patients with mild to moderate COVID-19 at high risk for progression to severe COVID-19 and treated early with casirivimab/imdevimab, sotrovimab, or tixagevimab/cilgavimab. We sequenced the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome during follow-up and searched for emerging spike mutations.
Results:
Immunocompromised patients have a 6-fold increased risk of developing mutations, which are associated with a prolonged duration of viral clearance but no clinical worsening. Emerging P337S/R/L/H, E340D/K/A/Q/V/G, and K356T/R substitutions in patients treated with sotrovimab are associated with higher viral RNA loads for up to 14 days post-treatment initiation. Tixagevimab/cilgavimab is associated with a 5-fold increased risk of developing mutations. R346K/I/T/S and K444R/N/M substitutions associated with tixagevimab/cilgavimab have been identified in multiple SARS-CoV-2 lineages, including BQ.1 and XBB.
Conclusions:
The probability of emerging mutations arising in response to mAbs is significant, emphasizing the crucial need to investigate these mutations thoroughly and assess their impact on patients and the evolutionary trajectory of SARS-CoV-2.
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