In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 6 ( 2022-6-9), p. e0264298-
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.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0264298
DOI:
10.1371/journal.pone.0264298.g001
DOI:
10.1371/journal.pone.0264298.g002
DOI:
10.1371/journal.pone.0264298.g003
DOI:
10.1371/journal.pone.0264298.g004
DOI:
10.1371/journal.pone.0264298.g005
DOI:
10.1371/journal.pone.0264298.t001
DOI:
10.1371/journal.pone.0264298.t002
DOI:
10.1371/journal.pone.0264298.s001
DOI:
10.1371/journal.pone.0264298.s002
DOI:
10.1371/journal.pone.0264298.r001
DOI:
10.1371/journal.pone.0264298.r002
DOI:
10.1371/journal.pone.0264298.r003
DOI:
10.1371/journal.pone.0264298.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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