Rhiannon Edge,Sam Matthews,Bahar Ahani,Anastasia A Aksyuk,Lindsay Clegg,John L Perez,Mark T Esser,Lee-Jah Chang,Ian Hirsch,Tonya Villafana,John Pura,Oleg Stepanov,Katie Streicher,Tom White,Taylor S Cohen,Dean Follmann,Peter B Gilbert,Seth Seegobin
{"title":"基于SARS-CoV-2变异调节的单克隆抗体暴露前预防保护模型阈值","authors":"Rhiannon Edge,Sam Matthews,Bahar Ahani,Anastasia A Aksyuk,Lindsay Clegg,John L Perez,Mark T Esser,Lee-Jah Chang,Ian Hirsch,Tonya Villafana,John Pura,Oleg Stepanov,Katie Streicher,Tom White,Taylor S Cohen,Dean Follmann,Peter B Gilbert,Seth Seegobin","doi":"10.1038/s41467-025-63972-4","DOIUrl":null,"url":null,"abstract":"Clinical development of monoclonal antibodies (mAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is challenging due to rapid changes in the variant landscape. This study identified a threshold model for neutralising antibody (nAb) titres associated with clinically relevant protection against symptomatic COVID-19 for vulnerable populations. Using efficacy data from the phase 3 PROVENT pre-exposure prophylaxis trial of tixagevimab-cilgavimab (NCT04625725), individual nAb ID50 titres were predicted by dividing serum mAb concentration by prevalence-adjusted tixagevimab-cilgavimab potency (from in vitro IC50 values combined with viral surveillance data) and related to efficacy with a Cox model. The Threshold of Protection (ToP) Cox model was externally validated using data from the phase 3 SUPERNOVA trial (NCT05648110), which assessed sipavibart efficacy against symptomatic COVID-19 in immunocompromised participants. The PROVENT ToP model estimated the variant-specific observed efficacies from SUPERNOVA for 3 and 6 months post any dose with Lin's concordance of 0.86 and 0.75, respectively. This approach integrates predicted nAb ID50 titres against multiple SARS-CoV-2 variants into a ToP model that can be applied across different variants and could serve as a surrogate endpoint in immunobridging studies to expedite clinical evaluation and regulatory approval for mAbs targeting SARS-CoV-2.","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"10 1","pages":"9101"},"PeriodicalIF":15.7000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A SARS-CoV-2 variant‑adjusted threshold of protection model for monoclonal antibody pre-exposure prophylaxis against COVID-19.\",\"authors\":\"Rhiannon Edge,Sam Matthews,Bahar Ahani,Anastasia A Aksyuk,Lindsay Clegg,John L Perez,Mark T Esser,Lee-Jah Chang,Ian Hirsch,Tonya Villafana,John Pura,Oleg Stepanov,Katie Streicher,Tom White,Taylor S Cohen,Dean Follmann,Peter B Gilbert,Seth Seegobin\",\"doi\":\"10.1038/s41467-025-63972-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Clinical development of monoclonal antibodies (mAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is challenging due to rapid changes in the variant landscape. 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A SARS-CoV-2 variant‑adjusted threshold of protection model for monoclonal antibody pre-exposure prophylaxis against COVID-19.
Clinical development of monoclonal antibodies (mAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is challenging due to rapid changes in the variant landscape. This study identified a threshold model for neutralising antibody (nAb) titres associated with clinically relevant protection against symptomatic COVID-19 for vulnerable populations. Using efficacy data from the phase 3 PROVENT pre-exposure prophylaxis trial of tixagevimab-cilgavimab (NCT04625725), individual nAb ID50 titres were predicted by dividing serum mAb concentration by prevalence-adjusted tixagevimab-cilgavimab potency (from in vitro IC50 values combined with viral surveillance data) and related to efficacy with a Cox model. The Threshold of Protection (ToP) Cox model was externally validated using data from the phase 3 SUPERNOVA trial (NCT05648110), which assessed sipavibart efficacy against symptomatic COVID-19 in immunocompromised participants. The PROVENT ToP model estimated the variant-specific observed efficacies from SUPERNOVA for 3 and 6 months post any dose with Lin's concordance of 0.86 and 0.75, respectively. This approach integrates predicted nAb ID50 titres against multiple SARS-CoV-2 variants into a ToP model that can be applied across different variants and could serve as a surrogate endpoint in immunobridging studies to expedite clinical evaluation and regulatory approval for mAbs targeting SARS-CoV-2.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.