Complex intra-host SARS-CoV-2 evolution following monoclonal antibody pre-exposure prophylaxis 2309595

K Kimia Kamelian (University of Cambridge School of Clinical Medicine) D David Pascall (MRC Biostatistics Unit, University of Cambridge) M Mark Tsz Kin Cheng (School of Clinical Medicine, University of Cambridge) B Bo Meng M Mazharul Altaf R Rebecca Morse (School of Clinical Medicine, University of Cambridge) M Michael Chen-Xu (School of Clinical Medicine, University of Cambridge) G Giorgio Trivioli (School of Clinical Medicine, University of Cambridge) C Claire Gallagher (Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID)) S Steven Kemp (Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID)) F Fernanda Novaes (Wellcome Sanger Institute) D Daniela De Angelis (MRC Biostatistics Unit, University of Cambridge) E Ewan Harrison D Darren Martin (Computational Biology Division, University of Cape Town) R Rona Smith (School of Clinical Medicine, University of Cambridge) R Ravindra Gupta

Abstract

Abstract Introduction Monoclonal antibodies have emerged as a prophylactic strategy to prevent symptomatic SARS-CoV-2 infection in immunocompromised individuals. However, the evolutionary and clinical implications of breakthrough infections remain unclear. Methods An 80-year-old male with a haematological/oncological diagnosis received a 2000 mg intravenous infusion of sotrovimab in March 2023 and was diagnosed with COVID-19 by RT-qPCR from a nasopharyngeal swab in August 2023. Weekly samples (n = 24) were collected through February 2024 (171 days). All samples underwent whole-genome sequencing, with select mutations subjected to functional assessment. Results Sequencing identified the GE.1 lineage at all timepoints. An intra-host recombination event in ORF1ab (positions 8980-11203) was detected 100-107 days post-infection, followed by a 14-fold increase in viral load (7.42E+06 to 1.00E+08 RNA copies/mL) and a marked shift in the mutation landscape. E340D, a sotrovimab-resistance mutation, fluctuated over time and was selected 107 days post-infection. We assessed five spike mutations — V36M, S98F, and V213G in the N-terminal domain, Y505P in the receptor-binding domain, and P681Q near the S1/S2 cleavage site–and additionally evaluated the impact of E340D. V36M conferred the highest infectivity across all cell lines, with the most significant effect in low-TMPRSS2 cells. While all mutations showed enhanced infectivity with the addition of E340D, the effect was most pronounced in mutations with lower baseline infectivity. The addition of E340D significantly decreased relative neutralizing titres for V36M, S98F, and V213G, enabling escape from neutralizing antibodies in XBB-responsive individuals. Patient neutralizing activity was absent pre-sotrovimab, and sotrovimab-induced neutralization was further compromised by selection of E340D. Conclusion Fixation of E340D abolished the surrogate defence provided by sotrovimab, eliminating neutralizing activity and exerting a positive epistatic effect on emerging mutations. Funding Source GSK; Gates-Cambridge scholarship Topic Categories Vaccines and Immunotherapy (VAC)

Article Details

Volume / Issue Vol. 215, Issue Supplement_1
Published August 01, 2026
ISSN 0022-1767
Publisher American Association of Immunologists

Authors (16)

K

Kimia Kamelian

University of Cambridge School of Clinical Medicine

D

David Pascall

MRC Biostatistics Unit, University of Cambridge

M

Mark Tsz Kin Cheng

School of Clinical Medicine, University of Cambridge

B

Bo Meng

M

Mazharul Altaf

R

Rebecca Morse

School of Clinical Medicine, University of Cambridge

M

Michael Chen-Xu

School of Clinical Medicine, University of Cambridge

G

Giorgio Trivioli

School of Clinical Medicine, University of Cambridge

C

Claire Gallagher

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID)

S

Steven Kemp

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID)

F

Fernanda Novaes

Wellcome Sanger Institute

D

Daniela De Angelis

MRC Biostatistics Unit, University of Cambridge

E

Ewan Harrison

D

Darren Martin

Computational Biology Division, University of Cape Town

R

Rona Smith

School of Clinical Medicine, University of Cambridge

R

Ravindra Gupta