Validation of a SARS-CoV-2 Surrogate Neutralization Test Detecting Neutralizing Antibodies against the Major Variants of Concern Article Swipe
Eveline Santos da Silva
,
Jean-Yves Servais
,
Michel Kohnen
,
Vic Arendt
,
Thérèse Staub
,
Rejko Krüger
,
Guy Fagherazzi
,
Paul Wilmes
,
Judith M. Hübschen
,
Markus Ollert
,
Danielle Perez-Bercoff
,
Carole Seguin‐Devaux
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijms241914965
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijms241914965
SARS-CoV-2 infection and/or vaccination elicit a broad range of neutralizing antibody responses against the different variants of concern (VOC). We established a new variant-adapted surrogate virus neutralization test (sVNT) and assessed the neutralization activity against the ancestral B.1 (WT) and VOC Delta, Omicron BA.1, BA.2, and BA.5. Analytical performances were compared against the respective VOC to the reference virus neutralization test (VNT) and two CE-IVD labeled kits using three different cohorts collected during the COVID-19 waves. Correlation analyses showed moderate to strong correlation for Omicron sub-variants (Spearman’s r = 0.7081 for BA.1, r = 0.7205 for BA.2, and r = 0.6042 for BA.5), and for WT (r = 0.8458) and Delta-sVNT (r = 0.8158), respectively. Comparison of the WT-sVNT performance with two CE-IVD kits, the “Icosagen SARS-CoV-2 Neutralizing Antibody ELISA kit” and the “Genscript cPass, kit” revealed an overall good correlation ranging from 0.8673 to −0.8773 and a midway profile between both commercial kits with 87.76% sensitivity and 90.48% clinical specificity. The BA.2-sVNT performance was similar to the BA.2 Genscript test. Finally, a correlation analysis revealed a strong association (r = 0.8583) between BA.5-sVNT and VNT sVNT using a double-vaccinated cohort (n = 100) and an Omicron-breakthrough infection cohort (n = 91). In conclusion, the sVNT allows for the efficient prediction of immune protection against the various VOCs.
Related Topics
Concepts
Neutralization
Neutralizing antibody
Virology
Antibody
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Coronavirus disease 2019 (COVID-19)
Cohort
Virus
Medicine
Biology
Immunology
Internal medicine
Infectious disease (medical specialty)
Disease
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijms241914965
- https://www.mdpi.com/1422-0067/24/19/14965/pdf?version=1696601357
- OA Status
- gold
- Cited By
- 16
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387422879
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387422879Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijms241914965Digital Object Identifier
- Title
-
Validation of a SARS-CoV-2 Surrogate Neutralization Test Detecting Neutralizing Antibodies against the Major Variants of ConcernWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-06Full publication date if available
- Authors
-
Eveline Santos da Silva, Jean-Yves Servais, Michel Kohnen, Vic Arendt, Thérèse Staub, Rejko Krüger, Guy Fagherazzi, Paul Wilmes, Judith M. Hübschen, Markus Ollert, Danielle Perez-Bercoff, Carole Seguin‐DevauxList of authors in order
- Landing page
-
https://doi.org/10.3390/ijms241914965Publisher landing page
- PDF URL
-
https://www.mdpi.com/1422-0067/24/19/14965/pdf?version=1696601357Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1422-0067/24/19/14965/pdf?version=1696601357Direct OA link when available
- Concepts
-
Neutralization, Neutralizing antibody, Virology, Antibody, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Coronavirus disease 2019 (COVID-19), Cohort, Virus, Medicine, Biology, Immunology, Internal medicine, Infectious disease (medical specialty), DiseaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 9, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
70Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.from | 142 |
| abstract_inverted_index.good | 139 |
| abstract_inverted_index.kits | 66, 153 |
| abstract_inverted_index.sVNT | 186, 205 |
| abstract_inverted_index.test | 27, 60 |
| abstract_inverted_index.were | 49 |
| abstract_inverted_index.with | 120, 154 |
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| abstract_inverted_index.BA.2, | 44, 96 |
| abstract_inverted_index.BA.5. | 46 |
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| abstract_inverted_index.kits, | 123 |
| abstract_inverted_index.range | 7 |
| abstract_inverted_index.test. | 170 |
| abstract_inverted_index.three | 68 |
| abstract_inverted_index.using | 67, 187 |
| abstract_inverted_index.virus | 25, 58 |
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| abstract_inverted_index.(sVNT) | 28 |
| abstract_inverted_index.0.6042 | 100 |
| abstract_inverted_index.0.7081 | 89 |
| abstract_inverted_index.0.7205 | 94 |
| abstract_inverted_index.0.8673 | 143 |
| abstract_inverted_index.87.76% | 155 |
| abstract_inverted_index.90.48% | 158 |
| abstract_inverted_index.BA.5), | 102 |
| abstract_inverted_index.CE-IVD | 64, 122 |
| abstract_inverted_index.Delta, | 41 |
| abstract_inverted_index.allows | 206 |
| abstract_inverted_index.and/or | 2 |
| abstract_inverted_index.cPass, | 134 |
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| abstract_inverted_index.waves. | 75 |
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| abstract_inverted_index.0.8583) | 181 |
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| abstract_inverted_index.WT-sVNT | 118 |
| abstract_inverted_index.against | 12, 34, 51, 214 |
| abstract_inverted_index.between | 150, 182 |
| abstract_inverted_index.cohorts | 70 |
| abstract_inverted_index.concern | 17 |
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| abstract_inverted_index.various | 216 |
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| abstract_inverted_index.activity | 33 |
| abstract_inverted_index.analyses | 77 |
| abstract_inverted_index.analysis | 174 |
| abstract_inverted_index.antibody | 10 |
| abstract_inverted_index.assessed | 30 |
| abstract_inverted_index.clinical | 159 |
| abstract_inverted_index.compared | 50 |
| abstract_inverted_index.moderate | 79 |
| abstract_inverted_index.revealed | 136, 175 |
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| abstract_inverted_index.BA.2-sVNT | 162 |
| abstract_inverted_index.BA.5-sVNT | 183 |
| abstract_inverted_index.Genscript | 169 |
| abstract_inverted_index.ancestral | 36 |
| abstract_inverted_index.collected | 71 |
| abstract_inverted_index.different | 14, 69 |
| abstract_inverted_index.efficient | 209 |
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| abstract_inverted_index.responses | 11 |
| abstract_inverted_index.surrogate | 24 |
| abstract_inverted_index.−0.8773 | 145 |
| abstract_inverted_index.Analytical | 47 |
| abstract_inverted_index.Comparison | 115 |
| abstract_inverted_index.Delta-sVNT | 110 |
| abstract_inverted_index.SARS-CoV-2 | 0, 126 |
| abstract_inverted_index.commercial | 152 |
| abstract_inverted_index.prediction | 210 |
| abstract_inverted_index.protection | 213 |
| abstract_inverted_index.respective | 53 |
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| abstract_inverted_index.association | 178 |
| abstract_inverted_index.conclusion, | 203 |
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| abstract_inverted_index.established | 20 |
| abstract_inverted_index.performance | 119, 163 |
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| abstract_inverted_index.“Icosagen | 125 |
| abstract_inverted_index.Neutralizing | 127 |
| abstract_inverted_index.neutralizing | 9 |
| abstract_inverted_index.performances | 48 |
| abstract_inverted_index.specificity. | 160 |
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| abstract_inverted_index.“Genscript | 133 |
| abstract_inverted_index.(Spearman’s | 86 |
| abstract_inverted_index.respectively. | 114 |
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| abstract_inverted_index.Omicron-breakthrough | 196 |
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| corresponding_author_ids | https://openalex.org/A5001595357 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I4210101141 |
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| citation_normalized_percentile.value | 0.93855282 |
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