SARS-CoV-2 Serosurveys: How antigen, isotype and threshold choices affect the outcome Article Swipe
Raquel A. Binder
,
Gavin Fujimori
,
Catherine S. Forconi
,
George Reed
,
Leandro S. Silva
,
Priya Saikumar Lakshmi
,
Amanda Higgins
,
Lindsey Cincotta
,
Protiva Dutta
,
Marie-Claire Salive
,
Virginia Mangolds
,
Otuwe Anya
,
J. Mauricio Calvo Calle
,
Thomas Nixon
,
Qiushi Tang
,
Mireya Wessolossky
,
Yang Wang
,
Dominic A. Ritacco
,
Courtney S. Bly
,
Stephanie Fischinger
,
Caroline Atyeo
,
Peter O. Oluoch
,
Boaz Odwar
,
Jeffrey A. Bailey
,
Ana Maldonado‐Contreras
,
John P. Haran
,
Aaron G. Schmidt
,
Lisa A. Cavacini
,
Galit Alter
,
Ann M. Moormann
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.09.09.22279787
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.09.09.22279787
Background Evaluating the performance of SARS-CoV-2 serological assays and clearly articulating the utility of selected antigen, isotypes and thresholds is crucial to understanding the prevalence of infection within selected communities. Methods This cross-sectional study, implemented in 2020, screened PCR-confirmed COVID-19 patients (n=86), banked pre-pandemic and negative donors (n=96), health care workers and family members (n=552), and university employees (n=327) for anti-SARS-CoV-2 receptor-binding domain (RBD), trimeric spike protein (S), and nucleocapsid protein (N) IgG and IgA antibodies with a laboratory developed Enzyme-Linked Immunosorbent Assay (ELISA) and tested how antigen, isotype and threshold choices affected the seroprevalence. The following threshold methods were evaluated: (i) mean + 3 standard deviations of the negative controls; (ii) 100% specificity for each antigen/isotype combination; and (iii) the maximal Youden index. Results We found vastly different seroprevalence estimates depending on selected antigens, isotypes and the applied threshold method, ranging from 0.0% to 85.4%. Subsequently, we maximized specificity and reported a seroprevalence, based on more than one antigen, ranging from 9.3% to 25.9%. Conclusions This study revealed the importance of evaluating serosurvey tools for antigen, isotype, and threshold-specific sensitivity and specificity, in order to interpret qualitative serosurvey outcomes reliably and consistently across studies.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.09.09.22279787
- https://www.medrxiv.org/content/medrxiv/early/2022/09/10/2022.09.09.22279787.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4295126714
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4295126714Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2022.09.09.22279787Digital Object Identifier
- Title
-
SARS-CoV-2 Serosurveys: How antigen, isotype and threshold choices affect the outcomeWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-10Full publication date if available
- Authors
-
Raquel A. Binder, Gavin Fujimori, Catherine S. Forconi, George Reed, Leandro S. Silva, Priya Saikumar Lakshmi, Amanda Higgins, Lindsey Cincotta, Protiva Dutta, Marie-Claire Salive, Virginia Mangolds, Otuwe Anya, J. Mauricio Calvo Calle, Thomas Nixon, Qiushi Tang, Mireya Wessolossky, Yang Wang, Dominic A. Ritacco, Courtney S. Bly, Stephanie Fischinger, Caroline Atyeo, Peter O. Oluoch, Boaz Odwar, Jeffrey A. Bailey, Ana Maldonado‐Contreras, John P. Haran, Aaron G. Schmidt, Lisa A. Cavacini, Galit Alter, Ann M. MoormannList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.09.09.22279787Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2022/09/10/2022.09.09.22279787.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.medrxiv.org/content/medrxiv/early/2022/09/10/2022.09.09.22279787.full.pdfDirect OA link when available
- Concepts
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Isotype, Seroprevalence, Antigen, Serology, Medicine, Immunology, Antibody, Virology, Monoclonal antibodyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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