Replication Data for: Assessing the impact of SARS-CoV-2 spike mutations on antibody binding: comparative assessment of Wuhan and JN.1 variants’ full-length spikes in a multiplex Luminex assay
This is a replication dataset for the manuscript titled: "Assessing the impact of SARS-CoV-2 spike mutations on antibody binding: comparative assessment of Wuhan and JN.1 variants’ full-length spikes in a multiplex Luminex assay ." The SARS-CoV-2 seroprevalence estimates have been carried out by institutions under the Kenya Multi-Site sero-surveillance (KEMIS) collaboration using in house KWTRP ELISA. To determine the impact of omicron mutations on serostatus classification by ELISA assays using Wuhan spike as capture antigen, we conducted a direct comparison of Wuhan spike and JN.1 spike based assays. We directly used pre-pandemic serum/plasma collected in 2018 from 160 blood donors as gold standard negative samples. As gold standard positives wildtype, we assayed serum/plasma from 160 SARS-CoV-2 PCR-positive patients, 160 vaccination-confirmed participants with verbal confirmed infection as gold standard positive hybrids, 160 omicron confirmed positive samples as gold standard omicron positives and 400 samples with unknown status. We obtained ODs(Optical density) from the samples' reactivity to SARS-CoV-2 antigen on both ELISA assays as well as MFI (mean fluorescence intensity) in Luminex. We then expressed the OD and MFI into a ratio using the control samples. The ratios from both assays were then used to determine specificity and sensitivity. Pairwise comparisons between the two antigens was done using McNemar's test.
Keywords
SARS-CoV-2; Immunoassay; Immunoglobulin G; Serology| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Experiment: Laboratory |
| Date | 22 July 2025 |
| Language(s) of written materials | English |
| Creator(s) |
Waweru, G; Nyakundi, R; Kutima, B; Owuor, S; Konyino, G; Gitonga, J; Lugano, D; Maina, A |
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 23 Jan 2026 09:48 |
| Last Modified | 23 Jan 2026 09:48 |
| Publisher | Harvard Dataverse |
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