Kinetics of antibody responses dictate COVID-19 outcome.


Journal

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

Informations de publication

Date de publication:
22 Dec 2020
Historique:
pubmed: 6 1 2021
medline: 6 1 2021
entrez: 5 1 2021
Statut: epublish

Résumé

Recent studies have provided insights into innate and adaptive immune dynamics in coronavirus disease 2019 (COVID-19). Yet, the exact feature of antibody responses that governs COVID-19 disease outcomes remain unclear. Here, we analysed humoral immune responses in 209 asymptomatic, mild, moderate and severe COVID-19 patients over time to probe the nature of antibody responses in disease severity and mortality. We observed a correlation between anti-Spike (S) IgG levels, length of hospitalization and clinical parameters associated with worse clinical progression. While high anti-S IgG levels correlated with worse disease severity, such correlation was time-dependent. Deceased patients did not have higher overall humoral response than live discharged patients. However, they mounted a robust, yet delayed response, measured by anti-S, anti-RBD IgG, and neutralizing antibody (NAb) levels, compared to survivors. Delayed seroconversion kinetics correlated with impaired viral control in deceased patients. Finally, while sera from 89% of patients displayed some neutralization capacity during their disease course, NAb generation prior to 14 days of disease onset emerged as a key factor for recovery. These data indicate that COVID-19 mortality does not correlate with the cross-sectional antiviral antibody levels

Identifiants

pubmed: 33398304
doi: 10.1101/2020.12.18.20248331
pmc: PMC7781347
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : T32 AI007210
Pays : United States
Organisme : NIAID NIH HHS
ID : T32 AI007517
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Déclaration de conflit d'intérêts

Competing interests: AI served as a consultant for Spring Discovery and Adaptive Biotechnologies.

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Auteurs

Carolina Lucas (C)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
These authors contributed equally: Carolina Lucas, Jon Klein.

Jon Klein (J)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
These authors contributed equally: Carolina Lucas, Jon Klein.

Maria Sundaram (M)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Feimei Liu (F)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Patrick Wong (P)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Julio Silva (J)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Tianyang Mao (T)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Ji Eun Oh (JE)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Maria Tokuyama (M)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Peiwen Lu (P)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Arvind Venkataraman (A)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Annsea Park (A)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Benjamin Israelow (B)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.

Anne L Wyllie (AL)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Chantal B F Vogels (CBF)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

M Catherine Muenker (MC)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Arnau Casanovas-Massana (A)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Wade L Schulz (WL)

Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA.

Joseph Zell (J)

Department of Internal Medicine/Section General Medicine; Yale University School of Medicine, New Haven, CT, USA.

Melissa Campbell (M)

Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.

John B Fournier (JB)

Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.

Nathan D Grubaugh (ND)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Shelli Farhadian (S)

Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.

Adam V Wisnewski (AV)

Department of Internal Medicine/Section General Medicine; Yale University School of Medicine, New Haven, CT, USA.

Charles Dela Cruz (CD)

Department of Medicine, Section of Pulmonary and Critical Care Medicine; Yale University School of Medicine, New Haven, CT, USA.

Saad Omer (S)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.
Yale Institute for Global Health, Yale University, New Haven, CT, USA.

Albert I Ko (AI)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.

Aaron Ring (A)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.

Akiko Iwasaki (A)

Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
Howard Hughes Medical Institute, Chevy Chase, MD, USA.

Classifications MeSH