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Record W4406153852 · doi:10.3390/vaccines13010047

A Spike-Based mRNA Vaccine Encapsulated in Phospholipid 1,2-Dioleoyl-sn-Glycero-3-PhosphoEthanolamine Containing Lipid Nanoparticles Induced Potent B- and T-Cell Responses Associated with Protection Against SARS-CoV-2 Infection and COVID-19-like Symptoms in Hamsters

2025· article· en· W4406153852 on OpenAlexaff
Afshana Quadiri, Swayam Prakash, Latifa Zayou, Nisha R. Dhanushkodi, Amruth Chilukuri, Gemma Ryan, Kelly Wang, Hawa Vahed, Aziz Alami Chentoufi, Lbachir BenMohamed

Bibliographic record

VenueVaccines · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsPrecision Nanosystems (Canada)
FundersNational Institute of Allergy and Infectious DiseasesUniversity of California, Irvine
KeywordsImmunogenicityProinflammatory cytokineMessenger RNAChemistryHamsterPhospholipidExosomeVirologyAntigenBiologyImmunologyMolecular biologyMicrovesiclesBiochemistryInflammationmicroRNAGene

Abstract

fetched live from OpenAlex

BACKGROUND: Nucleoside-modified mRNA encapsulated in lipid nanoparticles (LNPs) have emerged as a promising vaccine strategy, especially for COVID-19. While the LNPs protect mRNA from degradation and efficiently deliver the mRNA to antigen-presenting cells, the effect of lipid composition on the immunogenicity and protective efficacy of mRNA/LNP vaccines is not well characterized. Studies on using the mRNA/LNP platform for vaccines have largely focused on the nucleic acid cargo with less attention paid to the LNP vehicle. Whether the composition and biophysical properties of LNPs impact vaccine performance remains to be fully elucidated. METHODS: In the present study, we used SARS-CoV-2 Spike-mRNA as a prototype vaccine to study the effect of four different LNPs with various lipid compositions. RESULTS: We demonstrate that when the same Spike-mRNA was delivered in the LNP4 formulation based on phospholipid 1,2-dioleoyl-sn-glycero-3-Phosphoethanolamine, it outperformed other LNPs (LNP1, LNP2, and LNP3) that are based on different lipids. Compared to the other three LNPs, LNP4 (i) enhanced the phenotypic and functional maturation of dendritic cells; (ii) induced strong T-cell responses; (iii) increased the secretion of proinflammatory cytokines and pro-follicular T helper (Tfh) cell cytokines; (iv) induced higher neutralization IgG titers; and (v) provided better protection against SARS-CoV-2 infection and COVID-19-like symptoms in the hamster model. Furthermore, we compared LNP-4 with the commercially available LNPs and found it to provide better T-cell immunity against COVID-19 in hamsters. CONCLUSION: This study suggests mRNA vaccines encapsulated in Phospholipid 1,2-Dioleoyl-sn-Glycero-3-PhosphoEthanolamine containing LNPs induced Potent B- and T cell immunity. The mechanisms by which Phospholipid 1,2-Dioleoyl-sn-Glycero-3-PhosphoEthanolamine-based LNPs may activate protective B and T cells are discussed.

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 score0.020
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
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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

Citations6
Published2025
Admission routes1
Has abstractyes

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