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Article: Serological assays for differentiating natural COVID-19 infection from vaccine induced immunity
| Title | Serological assays for differentiating natural COVID-19 infection from vaccine induced immunity |
|---|---|
| Authors | |
| Keywords | antibody COVID-19 N-CTD Natural infection ORF8 SARS-CoV-2 Vaccine induced immunity |
| Issue Date | 1-Dec-2023 |
| Publisher | Elsevier |
| Citation | Journal of Clinical Virology, 2024, v. 170 How to Cite? |
| Abstract | BackgroundNatural SARS-CoV-2 infection may elicit antibodies to a range of viral proteins including non-structural protein ORF8. RNA, adenovirus vectored and sub-unit vaccines expressing SARS-CoV-2 spike would be only expected to elicit S-antibodies and antibodies to distinct domains of nucleocapsid (N) protein may reliably differentiate infection from vaccine-elicited antibody. However, inactivated whole virus vaccines may potentially elicit antibody to wider range of viral proteins, including N protein. We hypothesized that antibody to ORF8 protein will discriminate natural infection from vaccination irrespective of vaccine type. MethodsWe optimized and validated the anti-ORF8 and anti-N C-terminal domain (N ResultsWe optimized cut-off values for the anti-ORF8 and anti-N-CTD IgG ELISA assays using receiver-operating-characteristic (ROC) curves. The sensitivity of the anti-ORF8 and anti-N-CTD ELISA for detecting past infection was 83.2% and 99.3%, respectively. Specificity of anti-ORF8 ELISA was 96.8 % vs. the pre-pandemic cohort or 93% considering the pre-pandemic and vaccine cohorts together. The anti-N-CTD ELISA specificity of 98.9% in the pre-pandemic cohort, 93% in BNT vaccinated and only 4 % in CoronaVac vaccinated cohorts. Anti-N-CTD antibody was longer-lived than anti-ORF8 antibody after natural infection. ConclusionsAnti-N-CTD antibody assays provide good discrimination between natural infection and vaccination in BNT162b2 vaccinated individuals. Anti-ORF8 antibody can help discriminate infection from vaccination in either type of vaccine and help estimate infection attack rates (IAR) in communities. |
| Persistent Identifier | http://hdl.handle.net/10722/354849 |
| ISSN | 2023 Impact Factor: 4.0 2023 SCImago Journal Rankings: 1.344 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cheng, Samuel MS | - |
| dc.contributor.author | Lau, Jonathan J | - |
| dc.contributor.author | Tsang, Leo CH | - |
| dc.contributor.author | Leung, Kathy | - |
| dc.contributor.author | Lee, Cheuk Kwong | - |
| dc.contributor.author | Hachim, Asmaa | - |
| dc.contributor.author | Kavian, Niloufar | - |
| dc.contributor.author | Chaothai, Sara | - |
| dc.contributor.author | Wong, Ricky WK | - |
| dc.contributor.author | Yu, Jennifer KM | - |
| dc.contributor.author | Chai, Zacary YH | - |
| dc.contributor.author | Mori, Masashi | - |
| dc.contributor.author | Wu, Chao | - |
| dc.contributor.author | Yiu, Karen | - |
| dc.contributor.author | Hui, David SC | - |
| dc.contributor.author | Amarasinghe, Gaya K | - |
| dc.contributor.author | Poon, Leo LM | - |
| dc.contributor.author | Wu, Joseph T | - |
| dc.contributor.author | Valkenburg, Sophie A | - |
| dc.contributor.author | Peiris, Malik | - |
| dc.date.accessioned | 2025-03-14T00:35:20Z | - |
| dc.date.available | 2025-03-14T00:35:20Z | - |
| dc.date.issued | 2023-12-01 | - |
| dc.identifier.citation | Journal of Clinical Virology, 2024, v. 170 | - |
| dc.identifier.issn | 1386-6532 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/354849 | - |
| dc.description.abstract | <h3>Background</h3><p>Natural SARS-CoV-2 infection may elicit antibodies to a range of viral proteins including non-structural protein ORF8. RNA, adenovirus vectored and sub-unit vaccines expressing SARS-CoV-2 spike would be only expected to elicit S-antibodies and antibodies to distinct domains of nucleocapsid (N) protein may reliably differentiate infection from vaccine-elicited antibody. However, inactivated whole virus vaccines may potentially elicit antibody to wider range of viral proteins, including N protein. We hypothesized that antibody to ORF8 protein will discriminate natural infection from vaccination irrespective of vaccine type.</p><h3>Methods</h3><p>We optimized and validated the anti-ORF8 and anti-N C-terminal domain (N<img src="https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif" alt="single bond">CTD) ELISA assays using sera from pre-pandemic, RT-PCR confirmed natural infection sera and BNT162b2 (BNT) or CoronaVac vaccinees. We then applied these optimized assays to a cohort of blood donor sera collected in April-July 2022 with known vaccination and self-reported infection status.</p><h3>Results</h3><p>We optimized cut-off values for the anti-ORF8 and anti-N-CTD IgG ELISA assays using receiver-operating-characteristic (ROC) curves. The sensitivity of the anti-ORF8 and anti-N-CTD ELISA for detecting past infection was 83.2% and 99.3%, respectively. Specificity of anti-ORF8 ELISA was 96.8 % vs. the pre-pandemic cohort or 93% considering the pre-pandemic and vaccine cohorts together. The anti-N-CTD ELISA specificity of 98.9% in the pre-pandemic cohort, 93% in BNT vaccinated and only 4 % in CoronaVac vaccinated cohorts. Anti-N-CTD antibody was longer-lived than anti-ORF8 antibody after natural infection.</p><h3>Conclusions</h3><p>Anti-N-CTD antibody assays provide good discrimination between natural infection and vaccination in BNT162b2 vaccinated individuals. Anti-ORF8 antibody can help discriminate infection from vaccination in either type of vaccine and help estimate infection attack rates (IAR) in communities.</p> | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Journal of Clinical Virology | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | antibody | - |
| dc.subject | COVID-19 | - |
| dc.subject | N-CTD | - |
| dc.subject | Natural infection | - |
| dc.subject | ORF8 | - |
| dc.subject | SARS-CoV-2 | - |
| dc.subject | Vaccine induced immunity | - |
| dc.title | Serological assays for differentiating natural COVID-19 infection from vaccine induced immunity | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.jcv.2023.105621 | - |
| dc.identifier.scopus | eid_2-s2.0-85179112570 | - |
| dc.identifier.volume | 170 | - |
| dc.identifier.eissn | 1873-5967 | - |
| dc.identifier.isi | WOS:001132273000001 | - |
| dc.identifier.issnl | 1386-6532 | - |

CTD) ELISA assays using sera from pre-pandemic, RT-PCR confirmed natural infection sera and BNT162b2 (BNT) or CoronaVac vaccinees. We then applied these optimized assays to a cohort of blood donor sera collected in April-July 2022 with known vaccination and self-reported infection status.