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Record W4402139826 · doi:10.3390/v16091404

mRNA Vaccination: An Outlook on Innate Sensing and Adaptive Immune Responses

2024· review· en· W4402139826 on OpenAlexafffund
Janan Shoja Doost, Fatemeh Fazel, Nitish Boodhoo, Shayan Sharif

Bibliographic record

VenueViruses · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVaccinationImmune systemInnate immune systemImmunologyAcquired immune systemImmunityBiologyPandemicVirologyMedicineCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Vaccination has led to significant dismantling of infectious diseases worldwide. Since the dawn of the SARS-CoV-2 pandemic, there has been increased popularity in the usage and study of the mRNA vaccine platform. Here, we highlight fundamental knowledge on mRNA vaccine pharmacology, followed by the immunity conferred by innate sensing and adaptive responses resulting from exposure to the mRNA vaccine construct and encapsulation materials. A better understanding of these immune mechanisms will shed light on further improvements in mRNA vaccine design, aiming to improve efficiency and optimize immune responses upon inoculation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.082
GPT teacher head0.368
Teacher spread0.286 · 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 designOther design
Domainnot available
GenreReview

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

Citations7
Published2024
Admission routes2
Has abstractyes

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