About: Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population

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About: Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population
Creator	Casadevall, Arturo Pekosz, Andrew Shoham, Shmuel Quinn, Thomas Betenbaugh, Michael Redd, Andrew Klein, Sabra Sullivan, David Laeyendecker, Oliver Ursin, Rebecca Bloch, Evan Tobian, Aaron Wu, Annie Benner, Sarah Burgess, Imani Caturegli, Patricio Hughes, Robert Kumar, Swetha Littlefield, Kirsten Naik, Harnish Park, Han-Sol Shapiro, Janna Shrestha, Ruchee
Source	MedRxiv; Medline
abstract	Convalescent plasma is currently one of the leading treatments for COVID-19, but there is a paucity of data identifying therapeutic efficacy. A comprehensive analysis of the antibody responses in potential plasma donors and an understanding of the clinical and demographic factors that drive variant antibody responses is needed. Among 126 potential convalescent plasma donors, the humoral immune response was evaluated by a SARS-CoV-2 virus neutralization assay using Vero-E6-TMPRSS2 cells, commercial IgG and IgA ELISA to Spike (S) protein S1 domain (Euroimmun), IgA, IgG and IgM indirect ELISAs to the full-length S or S-receptor binding domain (S-RBD), and an IgG avidity assay. Multiple linear regression and predictive models were utilized to assess the correlations between antibody responses with demographic and clinical characteristics. IgG titers were greater than either IgM or IgA for S1, full length S, and S-RBD in the overall population. Of the 126 plasma samples, 101 (80%) had detectable neutralizing titers. Using neutralization titer as the reference, the sensitivity of the IgG ELISAs ranged between 95-98%, but specificity was only 20-32%. Male sex, older age, and hospitalization with COVID-19 were all consistently associated with increased antibody responses across the serological assays. Neutralizing antibody titers were reduced over time in contrast to overall antibody responses. There was substantial heterogeneity in the antibody response among potential convalescent plasma donors, but sex, age and hospitalization emerged as factors that can be used to identify individuals with a high likelihood of having strong antiviral antibody levels.
has issue date	2020-06-28(xsd:dateTime)
bibo:doi	10.1101/2020.06.26.20139063
bibo:pmid	32607519
has license	medrxiv
sha1sum (hex)	c0bd79da4d8c2a6442538a58c7560a8ef7d8aa4f
schema:url	https://doi.org/10.1101/2020.06.26.20139063
resource representing a document's title	Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population
has PubMed identifier	32607519
schema:publication	medRxiv : the preprint server for health sciences
resource representing a document's body	covid:c0bd79da4d8c2a6442538a58c7560a8ef7d8aa4f#body_text
is schema:about of	named entity 'hospitalization' named entity 'IgA' named entity 'antibody' named entity 'responses' named entity 'specificity' named entity 'plasma' named entity 'Sex' named entity 'hospitalization' named entity 'demographic' named entity 'titer' named entity 'responses' named entity 'serological' named entity 'age' named entity 'responses' named entity 'antigens' named entity 'Male' named entity 'plasma' named entity 'potential' named entity 'antibodies' named entity 'domain' named entity 'identify' named entity 'protein' named entity 'antiviral' named entity 'IgA' named entity 'humoral immune response' named entity 'SARS-CoV-2 virus' named entity 'predictive models' named entity 'assay' named entity 'antibody' named entity 'titer' named entity 'convalescent plasma' named entity 'IgA' named entity 'IgM' named entity 'Plasma' named entity 'IgM' named entity 'heterogeneity' named entity 'IgG' named entity 'antibody response' named entity 'demographic' named entity 'indirect' named entity 'hepatitis C virus' named entity 'receptor binding domain' named entity 'titer' named entity 'cell mediated' named entity 'IgG' named entity 'transfection' named entity 'COVID' named entity 'plasma' named entity 'CO2' named entity 'avidity' named entity 'SARS-CoV' named entity 'Multiple linear regression' named entity 'infection' named entity 'isotype' named entity 'antibody' named entity 'COVID' named entity 'antibody' named entity 'Plasma' named entity 'medRxiv' named entity 'heatmap'

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