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Record W4416976611 · doi:10.1038/s41541-025-01326-3

Polyvalent mRNA vaccine targeting outer surface protein C affords multi-strain protection against Lyme disease

2025· article· en· W4416976611 on OpenAlexafffund
Annabelle Pfeifle, Casey Lansdell, Wanyue Zhang, Levi Tamming, Rose Anderson-Duvall, Sathya N. Thulasi Raman, Caroline Gravel, Jianguo Wu, Grant Frahm, Marybeth Creskey, Maarten J. Voordouw, Heather Coatsworth, Weigang Qiu, Richard T. Marconi, Simon Sauvé, Lisheng Wang, Xu Zhang, Michael Johnston, Xuguang Li

Bibliographic record

Venuenpj Vaccines · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsCarleton UniversityPublic Health Agency of CanadaUniversity of SaskatchewanUniversity of OttawaHealth Canada
FundersNational Institute of Allergy and Infectious DiseasesHealth CanadaNational Institutes of HealthGovernment of Canada
KeywordsLyme diseaseAntibodyMessenger RNAAntibody responseAntigenEpitopePolyvalent Vaccine

Abstract

fetched live from OpenAlex

There is currently no Lyme disease (LD) vaccine available for use in humans. Outer surface protein C (OspC) of the causative agent, Borrelia burgdorferi, is a promising LD vaccine target. However, the extensive genetic variation of OspC poses a challenge in affording broad protection. Here, we developed a monovalent mRNA vaccine encoding OspC type A and a polyvalent vaccine encoding OspC types A, C, I, K, and N. The monovalent vaccine conferred complete protection against homologous challenge in mice, inducing functional OspC-specific antibodies and CD4⁺ T cell responses. The polyvalent formulation elicited antibodies to all encoded OspC types and protected against strains expressing OspC types A, I, and K, but not C or N. Increasing the dose enhanced protection against the OspC type C strain. This study is the first demonstration of an effective OspC-targeted mRNA vaccine and supports the development of OspC-based vaccines for broad LD prevention.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.250
Teacher spread0.238 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations2
Published2025
Admission routes2
Has abstractyes

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