Correlation between a quantitative anti‐SARS‐CoV‐2 IgG ELISA and neutralization activity Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1002/jmv.27287
In the current COVID‐19 pandemic, a better understanding of the relationship between merely binding and functionally neutralizing antibodies is necessary to characterize protective antiviral immunity following infection or vaccination. This study analyzes the level of correlation between the novel quantitative EUROIMMUN Anti‐SARS‐CoV‐2 QuantiVac ELISA (IgG) and a microneutralization assay. A panel of 123 plasma samples from a COVID‐19 outbreak study population, preselected by semiquantitative anti‐SARS‐CoV‐2 IgG testing, was used to assess the relationship between the novel quantitative ELISA (IgG) and a microneutralization assay. Binding IgG targeting the S1 antigen was detected in 106 (86.2%) samples using the QuantiVac ELISA, while 89 (72.4%) samples showed neutralizing antibody activity. Spearman's correlation analysis demonstrated a strong positive relationship between anti‐S1 IgG levels and neutralizing antibody titers ( r s = 0.819, p < 0.0001). High and low anti‐S1 IgG levels were associated with a positive predictive value of 72.0% for high‐titer neutralizing antibodies and a negative predictive value of 90.8% for low‐titer neutralizing antibodies, respectively. These results substantiate the implementation of the QuantiVac ELISA to assess protective immunity following infection or vaccination.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/jmv.27287
- OA Status
- hybrid
- Cited By
- 127
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3195688082
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3195688082Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/jmv.27287Digital Object Identifier
- Title
-
Correlation between a quantitative anti‐SARS‐CoV‐2 IgG ELISA and neutralization activityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-08-20Full publication date if available
- Authors
-
Ramona Dolscheid‐Pommerich, Eva Bartok, Marcel Renn, Beate M. Kümmerer, Bianca Schulte, Ricarda Maria Schmithausen, Birgit Stoffel‐Wagner, Hendrik Streeck, Sandra Saschenbrecker, Katja Steinhagen, Gunther HartmannList of authors in order
- Landing page
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https://doi.org/10.1002/jmv.27287Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1002/jmv.27287Direct OA link when available
- Concepts
-
Neutralization, Virology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Coronavirus disease 2019 (COVID-19), 2019-20 coronavirus outbreak, Antibody, Biology, Virus, Medicine, Immunology, Outbreak, Infectious disease (medical specialty), Pathology, DiseaseTop concepts (fields/topics) attached by OpenAlex
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127Total citation count in OpenAlex
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2025: 8, 2024: 28, 2023: 34, 2022: 48, 2021: 9Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.high‐titer | 148 |
| abstract_inverted_index.neutralizing | 17, 105, 121, 149, 160 |
| abstract_inverted_index.quantitative | 40, 77 |
| abstract_inverted_index.relationship | 11, 73, 115 |
| abstract_inverted_index.substantiate | 165 |
| abstract_inverted_index.vaccination. | 29, 179 |
| abstract_inverted_index.respectively. | 162 |
| abstract_inverted_index.understanding | 8 |
| abstract_inverted_index.implementation | 167 |
| abstract_inverted_index.semiquantitative | 64 |
| abstract_inverted_index.microneutralization | 48, 82 |
| abstract_inverted_index.Anti‐SARS‐CoV‐2 | 42 |
| abstract_inverted_index.anti‐SARS‐CoV‐2 | 65 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5070273513 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I2799391451 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.98055279 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |