2026-10-11T06:16:28Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34054815 2026-10-02T05:42:43Z category_696 portal_316 item_type_3 month_year_10_2026

Data Sheet 12_Multi-omics integration reveals vaccine-specific molecular signatures and temporal dynamics of COVID-19 immune responses.csv Anne H. Klein (10677455) David J. Beale (1460479) Thao V. Nguyen (17300793) Jian-Wei Liu (477515) Petrus Jansen van Vuren (11134066) Nagendrakumar B. Singanallur (8207844) Carol Lee (248798) Andrew C. Boomer (25162806) Jennifer A. Juno (8872010) Stephen J. Kent (90625) Adam K. Wheatley (7487027) Gough G. Au (11021290) Seshadri S. Vasan (10308212) Laurence Wilson (3472499) Alexander J. McAuley (11026437) Genetic Immunology COVID-19 vaccination multi-omics proteomics lipidomics metabolomics Pfizer-BioNTech Moderna AstraZeneca <p>Vaccination elicits systemic immune responses that extend beyond antibody and lymphocyte activation, engaging coordinated metabolic and lipid pathways that modulate immune function. 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. 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> 2026-10-02T05:42:43Z Dataset Dataset 10.3389/fimmu.2026.1815543.s002 https://figshare.com/articles/dataset/Data_Sheet_12_Multi-omics_integration_reveals_vaccine-specific_molecular_signatures_and_temporal_dynamics_of_COVID-19_immune_responses_csv/34054815 CC BY 4.0