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Record W4416827092 · doi:10.1016/j.vaccine.2025.127888

Longitudinal proteomic and autoantibody signatures after mRNA vaccination in healthy individuals

2025· article· en· W4416827092 on OpenAlexfundno aff
Blandine Chazarin, Archana Bhat, Niveda Sundararaman, Yunxian Liu, Jana Gajewski, Ann-Sophie Lindemann, Petra Budde, Hans-Dieter Zucht, Sandy Joung, Joseph E. Ebinger, Rowann Mostafa, Brian Walker, Aleksandra Binek, L E Becker, Koen Raedschelders, Kimia Sobhani, Jennifer E. Van Eyk, Justyna Fert‐Bober

Bibliographic record

VenueVaccine · 2025
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthErika Glazer Family FoundationDivision of Cancer Prevention, National Cancer InstituteCedars-Sinai Medical CenterCommission de la santé mentale du Canada
KeywordsAutoantibodyImmunogenicityAntibodyVaccinationMessenger RNAProteomicsImmunityImmune system

Abstract

fetched live from OpenAlex

Longitudinal analysis of the circulating proteome after SARS-CoV-2 mRNA vaccination provides insights into immune adaptation, optimizing vaccination strategies, and understanding long-term molecular effects. We analyzed 120 paired plasma samples from 114 healthy participants at six time points: pre-vaccination, 3 days and 7–21 days post-dose 1, 7–21 days post-dose 2, and at 8-, 16-, and 24-weeks post-dose 2. IgG antibody responses to SARS-CoV-2 structural proteins and autoantibody profiles were assessed using a multiplex platform, and plasma proteome changes were quantified by mass spectrometry. IgG antibodies against spike protein regions (RBD, S1, S2) produced sustained responses for up to 24 weeks, with no detection of nucleocapsid or membrane antibodies, confirming that there was no prior infection. Younger participants (<45 years) presented stronger responses, with no significant sex differences. Proteomics identified 342 proteins, of which 214 proteins were significantly altered, predominantly at 16–24 weeks. Key changes included upregulation of C1 complex proteins (C1R, C1QC, C1S) and downregulations of the C1 inhibitor SERPING1, indicating complement activation. Platelet-associated proteins showed minimal changes, suggesting a limited thrombosis risk. Altered proteins were enriched in carbohydrate metabolism, cofactors/vitamin metabolism, and thyroid hormone pathways. Autoantibody profiling showed stable responses for most self-antigens, with modest increased in several interleukin specific autoantibodies, including IL-1B, at later time points. Integrated plasma proteomics and autoantibody profiling demonstrated sustained immunogenicity and safety of SARS-CoV-2 mRNA vaccines, characterized by durable spike-specific antibody responses, late-onset complement activation, and limited autoantibody induction. These findings enhance our understanding of vaccine-induced immunity and inform long-term monitoring and optimization of mRNA vaccine strategies. • IgG antibodies against spike protein regions (RBD, S1, and S2) remained robust and stable for up to 24 weeks after SARS-CoV-2 mRNA vaccination. • Plasma proteomics showed major protein changes at 16–24 weeks, consistent with immune and complement activation. • Increased C1R,C1QC,C1S and decreased SERPING1 suggest vaccine-induced activation of the classical complement pathway. • Autoantibody profiling revealed stable self-antigen responses, with increased reactivity against IL-1B but no induction of type I or type III interferon autoantibodies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.354
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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