A Global Collaborative Comparison of SARS-CoV-2 Antigenicity Across 15 Laboratories
| dc.contributor.author | Subissi, L. | |
| dc.contributor.author | Smith, D. | |
| dc.contributor.author | Aboagye, J.O. | |
| dc.contributor.author | Brangel, P. | |
| dc.contributor.author | Tureli, S. | |
| dc.contributor.author | et al | |
| dc.date.accessioned | 2025-09-04T11:28:49Z | |
| dc.date.issued | 2024-12-18 | |
| dc.description | Research Article | |
| dc.description.abstract | Setting up a global SARS-CoV-2 surveillance system requires an understanding of how virus isolation and propagation practices, use of animal or human sera, and different neutralisation assay platforms influence assessment of SARS-CoV-2 antigenicity. In this study, with the contribution of 15 independent laboratories across all WHO regions, we carried out a controlled analysis of neu tralisation assay platforms using the first WHO International Standard for antibodies to SARS-CoV-2 variants of concern (source: NIBSC). Live virus isolates (source: WHO BioHub or individual labs) or spike plasmids (individual labs) for pseudovirus production were used to perform neutralisation assays using the same serum panels. When comparing fold drops, excellent data consistency was observed across the labs using common reagents, including between pseudovirus and live virus neutralisation assays (RMSD of data from mean fold drop was 0.59). Utilising a Bayesian model, geometric mean titres and assay titre magnitudes (offsets) can describe the data efficiently. Titre magnitudes were seen to vary largely even for labs within the same assay group. We have observed that overall, live Microneutralisation assays tend to have the lowest titres, whereas Pseudovirus Neutralisation have the highest (with a mean difference of 3.2 log2 units between the two). These findings are relevant for laboratory networks, such as the WHO Coronavirus Laboratory Network (CoViNet), that seek to support a global surveillance system for evolution and antigenic characterisation of variants to support monitoring of population immunity and vaccine composition policy. | |
| dc.description.sponsorship | P.L.M. and J.N.B. are supported by the Bill and Melinda Gates Foundation through the Global Immunology and Immune Sequencing for Epidemic Response (GIISER) program (INV-030570). P.L.M. was supported by the South African Research Chairs Initiative of the Department of Science and Innovation and National Research Foundation of South Africa (98341), the SA Medical Research Council Strategic Health and Innovation Partnerships (SHIP) program and from the European Union’s Europe Research and Innovation Programme under grant nr 101046041; L.M.T.P. and M.P. are sup ported by Theme-based Research Scheme of the Research Grants Council of HKSAR (#T11-705/21-N); V.T. was supported by Swiss National Science Foundation grants 310030B_201278 and 31CA30_196644; I.E. is supported by Fondation Ancrage Bienfaisance du Groupe Pictet, the Fondation Privée des Hôpitaux Universitaires de Genève and Swiss National Science Foundation 196644, 196383 and 215567; J.K. is supported by NIH NIAID Centers of Excellence for Influenza Research and Response (CEIRR) contract 75N93021C00014 as part of the SAVE program supported, Austrian Science Fund (FWF) with the project number P35159-B; S.T and D.S are part funded through the NIH NIAID Centers of Excellence for Influenza Research and Response (CEIRR) contract 75N93021C00014 as part of the SAVE program and by the Medical Research Council [grant number MR/Y004337/1]. T.H., K.R., J.L are funded by the Armed Forces Health Surveillance Division (AFHSD), Global Emerging Infections Surveillance (GEIS) Branch, ProMIS ID P0021_22_AF; M.S.S. is supported by the Emory Executive Vice President for Health Affairs Synergy Fund award, the Pediatric Research Alliance Center for Child hood Infections and Vaccines and Children’s Healthcare of Atlanta, COVID-Catalyst-I3 Funds from the Woodruff Health Sciences Center and Emory School of Medicine, and Woodruff Health Sciences Center 2020 COVID-19 CURE Award; This work was funded by the German Federal Ministry of Edu cation and Research through project DZIF (8040701710 and 8064701703) and VARIpath (01KI2021), the Federal Ministry of Health through Grant SeroVarCoV, and EU Hera project DURABLE (101102733). CD received additional funding from ECDC project Aurorae (NP/21/2021/DPR/25121). VMC is a participant in the BIH-Charité Clinician Scientist Program funded by Charité—Universitätsmedizin Berlin and the Berlin Institute of Health. VMC has his name on patents regarding SARS-CoV-2 serological testing and monoclonal antibodies. | |
| dc.identifier.citation | Brangel, P.; Tureli, S.; Mühlemann, B.; Liechti, N.; Zysset, D.; Engler, O.; Hunger-Glaser, I.; Ghiga, I.; Mattiuzzo, G.; Eckerle, I.; et al. A Global Collaborative Comparison of SARS-CoV-2 Antigenicity Across 15 Laboratories. Viruses 2024, 16, 1936. | |
| dc.identifier.uri | https://doi.org/10.3390/v16121936 | |
| dc.identifier.uri | https://ugspace.ug.edu.gh/handle/123456789/43856 | |
| dc.language.iso | en | |
| dc.publisher | Viruses | |
| dc.subject | Neutralisation | |
| dc.subject | Antigenicity | |
| dc.subject | SARS-Cov-2 | |
| dc.subject | COVID-19 | |
| dc.subject | Bayesian Model | |
| dc.subject | Global Surveillance | |
| dc.title | A Global Collaborative Comparison of SARS-CoV-2 Antigenicity Across 15 Laboratories | |
| dc.type | Article |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- A Global Collaborative Comparison of SARS-CoV-2 Antigenicity.pdf
- Size:
- 2.17 MB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description:
