Longitudinal variation in SARS-CoV-2 antibody levels and emergence of viral variants: implications for the ability of serological assays to predict immunity.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
07 Jul 2021
Historique:
entrez: 16 7 2021
pubmed: 17 7 2021
medline: 17 7 2021
Statut: epublish

Résumé

Serological assays are being deployed to monitor antibody responses in SARS-CoV-2 convalescents and vaccine recipients. There is a need to determine whether such assays can predict immunity, as antibody levels wane and viral variants emerge. We measured antibodies in a cohort of SARS-CoV-2 infected patients using several high-throughput serological tests and functional neutralization assays. The effects of time and spike protein sequence variation on the performance and predictive value of the various assays was assessed. Neutralizing antibody titers decreased over the first few months post-infection but stabilized thereafter, at about 30% of the level observed shortly after infection. Serological assays commonly used to measure antibodies against SARS-CoV-2 displayed a range of sensitivities that declined to varying extents over time. Quantitative measurements generated by serological assays based on the spike protein were better at predicting neutralizing antibody titers than assays based on nucleocapsid, but performance was variable and manufacturer positivity thresholds were not able to predict the presence or absence of detectable neutralizing activity. Even though there was some deterioration in correlation between serological measurements and functional neutralization activity, some assays maintained an ability to predict neutralizing titers, even against variants of concern. The ability of high throughput serological assays to predict neutralizing antibody titers is likely crucial for evaluation of immunity at the population scale. These data will facilitate the selection of the most suitable assays as surrogates of functional neutralizing activity and suggest that such measurements may have utility in clinical practice.

Sections du résumé

BACKGROUND BACKGROUND
Serological assays are being deployed to monitor antibody responses in SARS-CoV-2 convalescents and vaccine recipients. There is a need to determine whether such assays can predict immunity, as antibody levels wane and viral variants emerge.
METHODS METHODS
We measured antibodies in a cohort of SARS-CoV-2 infected patients using several high-throughput serological tests and functional neutralization assays. The effects of time and spike protein sequence variation on the performance and predictive value of the various assays was assessed.
FINDINGS RESULTS
Neutralizing antibody titers decreased over the first few months post-infection but stabilized thereafter, at about 30% of the level observed shortly after infection. Serological assays commonly used to measure antibodies against SARS-CoV-2 displayed a range of sensitivities that declined to varying extents over time. Quantitative measurements generated by serological assays based on the spike protein were better at predicting neutralizing antibody titers than assays based on nucleocapsid, but performance was variable and manufacturer positivity thresholds were not able to predict the presence or absence of detectable neutralizing activity. Even though there was some deterioration in correlation between serological measurements and functional neutralization activity, some assays maintained an ability to predict neutralizing titers, even against variants of concern.
INTERPRETATION CONCLUSIONS
The ability of high throughput serological assays to predict neutralizing antibody titers is likely crucial for evaluation of immunity at the population scale. These data will facilitate the selection of the most suitable assays as surrogates of functional neutralizing activity and suggest that such measurements may have utility in clinical practice.

Identifiants

pubmed: 34268524
doi: 10.1101/2021.07.02.21259939
pmc: PMC8282113
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI050111
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI078788
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Frauke Muecksch (F)

Laboratory of Retrovirology, The Rockefeller University, 1230 York Avenue, New York NY 10065.

Helen Wise (H)

Royal Infirmary of Edinburgh, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 4SA.

Kate Templeton (K)

Royal Infirmary of Edinburgh, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 4SA.

Becky Batchelor (B)

Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU.

Maria Squires (M)

Royal Infirmary of Edinburgh, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 4SA.

Kirsty McCance (K)

Royal Infirmary of Edinburgh, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 4SA.

Lisa Jarvis (L)

SNBTS Microbiology Reference Laboratory, The Jack Copland Centre, 52 Research Avenue North, Heriot Watt Research Park, Edinburgh, EH14 4AP.

Kristen Malloy (K)

SNBTS Microbiology Reference Laboratory, The Jack Copland Centre, 52 Research Avenue North, Heriot Watt Research Park, Edinburgh, EH14 4AP.

Elizabeth Furrie (E)

Ninewells Hospital and Medical School, NHS Tayside, Dundee, DD1 9SY.

Claire Richardson (C)

University Hospital Monklands, NHS Lanarkshire, Airdrie, ML6 0JS.

Jacqueline MacGuire (J)

University Hospital Monklands, NHS Lanarkshire, Airdrie, ML6 0JS.

Ian Godber (I)

Queen Elizabeth University Hospital, Govan Road, Glasgow, G51 4TF.

Alana Burns (A)

Queen Elizabeth University Hospital, Govan Road, Glasgow, G51 4TF.

Sally Mavin (S)

Scottish Microbiology Reference Laboratory, NHS Highland, Inverness, IV2 3UJ.

Fengwen Zhang (F)

Laboratory of Retrovirology, The Rockefeller University, 1230 York Avenue, New York NY 10065.

Fabian Schmidt (F)

Laboratory of Retrovirology, The Rockefeller University, 1230 York Avenue, New York NY 10065.

Paul Bieniasz (P)

Laboratory of Retrovirology, The Rockefeller University, 1230 York Avenue, New York NY 10065.
Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York NY 10065.

Sara Jenks (S)

Royal Infirmary of Edinburgh, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 4SA.

Theodora Hatziioannou (T)

Laboratory of Retrovirology, The Rockefeller University, 1230 York Avenue, New York NY 10065.

Classifications MeSH