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Table · dataset · 2026

Data Sheet 3_Multi-omics integration reveals vaccine-specific molecular signatures and temporal dynamics of COVID-19 immune responses.csv

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<p>Vaccination elicits systemic immune responses that extend beyond antibody and lymphocyte activation, engaging coordinated metabolic and lipid pathways that modulate immune function.

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Nevertheless, how systemic molecular responses differ across COVID-19 vaccine platforms, including closely related mRNA platforms, remains poorly understood. Here, we performed integrated plasma proteomic, lipidomic, and metabolomic profiling of 53 SARS-CoV-2–naïve adults vaccinated with Pfizer-BioNTech, Moderna, or AstraZeneca COVID-19 vaccines.

Samples were analysed across multiple timepoints using differential analysis and DIABLO-based multi-omics integration. Our findings reveal distinct platform-associated multi-omic molecular signatures not captured by unsupervised analyses alone. Pfizer-BioNTech vaccination was associated with widespread increases in immunoglobulin and complement associated proteins, together with broad decreases in lipid abundance and bidirectional metabolite changes.

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In contrast, the Moderna vaccination was associated with predominantly increased lipid abundance and bidirectional metabolite changes, with minimal univariate proteomic changes. AstraZeneca induced subtler yet coherent cross-omic shifts, detectable only through integrative modelling approaches. Despite these platform-associated differences, Pfizer and Moderna shared concordant changes in a subset of metabolites, including amino-acid and TCA-cycle-associated features, within divergent lipidomic contexts.

These findings demonstrate that even closely related mRNA vaccine platforms are associated with distinct systemic molecular response patterns. This study establishes integration of multi-omics (as opposed to separate single-omic analyses) as a powerful framework for characterising vaccine-associated molecular responses, identifying candidate platform-specific molecular markers, and providing candidates for future molecular stratification studies.</p>

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figshareoai:figshare.com:article/3405478513 d agoJSON v1
Loughborough Research Repository · removed upstreamoai:figshare.com:article/3405478513 d agoJSON v1
GRANTS Data · removed upstreamoai:figshare.com:article/3405478513 d agoJSON v1
UP Research Data Repository · removed upstreamoai:figshare.com:article/3405478512 d agoJSON v1
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