A SARS-CoV-2 variant‑adjusted threshold of protection model for monoclonal antibody pre-exposure prophylaxis against COVID-19

R Rhiannon Edge S Sam Matthews B Bahar Ahani A Anastasia A. Aksyuk L Lindsay Clegg J John L. Perez M Mark T. Esser L Lee-Jah Chang I Ian Hirsch T Tonya Villafana J John Pura O Oleg Stepanov K Katie Streicher T Tom White T Taylor S. Cohen D Dean Follmann P Peter B. Gilbert S Seth Seegobin

Abstract

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.

Article Details

Volume / Issue Vol. 16, Issue 1
Published October 14, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (18)

R

Rhiannon Edge

S

Sam Matthews

B

Bahar Ahani

A

Anastasia A. Aksyuk

L

Lindsay Clegg

J

John L. Perez

M

Mark T. Esser

L

Lee-Jah Chang

I

Ian Hirsch

T

Tonya Villafana

J

John Pura

O

Oleg Stepanov

K

Katie Streicher

T

Tom White

T

Taylor S. Cohen

D

Dean Follmann

P

Peter B. Gilbert

S

Seth Seegobin