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Differential antibody production by symptomatology in SARS-CoV-2 convalescent individuals.
Saraf, Sharada; Zhu, Xianming; Shrestha, Ruchee; Bonny, Tania S; Baker, Owen R; Beck, Evan J; Fernandez, Reinaldo E; Eby, Yolanda; Akinde, Olivia; Ruff, Jessica E; Caturegli, Patrizio; Redd, Andrew D; Bloch, Evan M; Quinn, Thomas C; Tobian, Aaron Ar; Laeyendecker, Oliver.
Afiliación
  • Saraf S; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Zhu X; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Shrestha R; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Bonny TS; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Baker OR; Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Beck EJ; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Fernandez RE; Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Eby Y; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Akinde O; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Ruff JE; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Caturegli P; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Redd AD; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Bloch EM; Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Quinn TC; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Tobian AA; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Laeyendecker O; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
medRxiv ; 2022 Feb 09.
Article en En | MEDLINE | ID: mdl-35169815
ABSTRACT
The association between COVID-19 symptoms and antibody responses against SARS-CoV-2 is poorly characterized. We analyzed antibody levels in individuals with known SARS-CoV-2 infection to identify potential antibody-symptom associations. Convalescent plasma from 216 SARS-CoV-2 RNA+ individuals with symptomatology information were tested for the presence of IgG to the spike S1 subunit (Euroimmun ELISA), IgG to receptor binding domain (RBD, CoronaCHEK rapid test), and for IgG, IgA, and IgM to nucleocapsid (N, Bio-Rad ELISA). Logistic regression was used to estimate the odds of having a COVID-19 symptom from the antibody response, adjusting for sex and age. Cough strongly associated with antibodies against S1 (adjusted odds ratio [aOR]= 5.33; 95% CI from 1.51 to 18.86) and RBD (aOR=4.36; CI 1.49, 12.78). In contrast, sore throat significantly associated with the absence of antibodies to S1 and N (aOR=0.25; CI 0.08, 0.80 and aOR=0.31; 0.11, 0.91). Similarly, lack of symptoms associated with the absence of antibodies to N and RBD (aOR=0.16; CI 0.03, 0.97 and aOR=0.16; CI 0.03, 1.01). Cough appeared to be correlated with a seropositive result, suggesting that SARS-CoV-2 infected individuals exhibiting lower respiratory symptoms generate a robust antibody response. Conversely, those without symptoms or limited to a sore throat while infected with SARS-CoV-2 were likely to lack a detectable antibody response. These findings strongly support the notion that severity of infection correlates with robust antibody response.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: MedRxiv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: MedRxiv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos