Comparative Longitudinal Serological Study of Anti-SARS-CoV-2 Antibody Profiles in People with COVID-19.

SARS-CoV-2 antibody profile polyclonal durability serology

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
02 Aug 2023
Historique:
received: 28 05 2023
revised: 10 07 2023
accepted: 21 07 2023
medline: 26 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

Serological diagnostic assays are essential tools for determining an individual's protection against viruses like SARS-CoV-2, tracking the spread of the virus in the community, and evaluating population immunity. To assess the diversity and quality of the anti-SARS-CoV-2 antibody response, we have compared the antibody profiles of people with mild, moderate, and severe COVID-19 using a dot blot assay. The test targeted the four major structural proteins of SARS-CoV-2, namely the nucleocapsid (N), spike (S) protein domains S1 and S2, and receptor-binding domain (RBD). Serum samples were collected from 63 participants at various time points for up to 300 days after disease onset. The dot blot assay revealed patient-specific differences in the anti-SARS-CoV-2 antibody profiles. Out of the 63 participants with confirmed SARS-CoV-2 infections and clinical COVID-19, 35/63 participants exhibited diverse and robust responses against the tested antigens, while 14/63 participants displayed either limited responses to a subset of antigens or no detectable antibody response to any of the antigens. Anti-N-specific antibody levels decreased within 300 days after disease onset, whereas anti-S-specific antibodies persisted. The dynamics of the antibody response did not change during the test period, indicating stable antibody profiles. Among the participants, 28/63 patients with restricted anti-S antibody profiles or undetectable anti-S antibody levels in the dot blot assay also exhibited weak neutralization activity, as measured by a surrogate virus neutralization test (sVNT) and a microneutralization test. These results indicate that in some cases, natural infections do not lead to the production of neutralizing antibodies. Furthermore, the study revealed significant serological variability among patients, regardless of the severity of their COVID-19 illness. These differences need to be carefully considered when evaluating the protective antibody status of individuals who have experienced primary SARS-CoV-2 infections.

Identifiants

pubmed: 37630545
pii: microorganisms11081985
doi: 10.3390/microorganisms11081985
pmc: PMC10458948
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Australian Partnership for Preparedness Research on Infectious Disease Emergencies

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Auteurs

Marilou H Barrios (MH)

Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia.
Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.

Suellen Nicholson (S)

Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia.
Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.

Rowena A Bull (RA)

The Kirby Institute, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.

Marianne Martinello (M)

The Kirby Institute, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.

William Rawlinson (W)

School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
Serology and Virology Division, Department of Microbiology, New South Wales Health Pathology, Randwick, Sydney, NSW 2031, Australia.
Prince of Wales Hospital, Sydney, NSW 2031, Australia.

Michael Mina (M)

Northern Beaches Hospital, Frenchs Forest, NSW 2086, Australia.

Jeffrey J Post (JJ)

Prince of Wales Hospital, Sydney, NSW 2031, Australia.
School of Clinical Medicine, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.

Bernard Hudson (B)

Royal North Shore Hospital, Sydney, NSW 2065, Australia.

Nicole Gilroy (N)

Westmead Hospital, Sydney, NSW 2145, Australia.

Andrew R Lloyd (AR)

The Kirby Institute, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.

Pamela Konecny (P)

School of Clinical Medicine, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
St. George Hospital, Sydney, NSW 2217, Australia.

Francesca Mordant (F)

Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.
Department of Microbiology and Immunology, University of Melbourne, Melbourne, VIC 3000, Australia.

Mike Catton (M)

Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia.
Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.

Kanta Subbarao (K)

Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.
Department of Microbiology and Immunology, University of Melbourne, Melbourne, VIC 3000, Australia.
World Health Organization Collaborating Centre for Reference and Research on Influenza at the Peter Doherty Institute, Melbourne, VIC 3000, Australia.

Leon Caly (L)

Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia.
Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.

Julian Druce (J)

Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia.
Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.

Hans J Netter (HJ)

Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia.
Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia.
School of Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC 3001, Australia.

Classifications MeSH