ArticleiScience2025
Emergence of SARS-CoV-2 Omicron lineages shifted antibody-mediated protection curves.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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10 authors.
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Abstract
Antibody dynamics models are analytical frameworks that probabilistically link changes in antibody titer timeseries to exposures. To date, antibody dynamics models have not been applied to SARS-CoV-2 datasets and have not incorporated observed exposures (i.e., from vaccination and positive PCR results) directly in their inference. We developed a bespoke framework that incorporates these features and applied it to data from the "Prospective Assessment of COVID-19 in a Community" (PACC) cohort. We used ELISA to measure serum antibody levels against Wuhan-1 spike (S) and nucleocapsid (N) proteins and inferred the level of protection from SARS-CoV-2 infection each antigen provided at different titers (protection curves). The S protection curve shifted when the Omicron lineage evolved, indicating that higher Wuhan-1 titers were required for protection. Age and exposure history did not shift the protection curves. This work highlights the utility of antibody dynamics frameworks to inform SARS-CoV-2 vaccination strategies.
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