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Record W2073404272 · doi:10.1086/520603

Mucosal Delivery of Adenovirus‐Based Vaccine Protects against Ebola Virus Infection in Mice

2007· article· en· W2073404272 on OpenAlexaff
Ami Patel, Yi Zhang, Maria A. Croyle, Kaylie N. Tran, Michael J. Gray, Jim Strong, Heinz Feldmann, James M. Wilson

Bibliographic record

VenueThe Journal of Infectious Diseases · 2007
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of ManitobaPublic Health Agency of Canada
Fundersnot available
KeywordsVaccinationImmunizationImmune systemImmunologyEbola virusVirologyNasal administrationMedicineEbola vaccineVirusIntramuscular injection

Abstract

fetched live from OpenAlex

BACKGROUND: Mucosal vaccination can offer several advantages over conventional intramuscular immunization to protect against Ebola virus (EBOV) infection, such as immune protection at sites of viral entry into susceptible individuals, and can be administered using needle-free devices. METHODS: The present study evaluated oral and nasal vaccination of mice with human adenovirus serotype 5 (Ad) expressing the Zaire ebolavirus glycoprotein (Ad-ZGP) in terms of their protection against and underlying immune responses to EBOV. RESULTS: Similar to intramuscular administration, oral or nasal vaccination of mice with Ad-ZGP fully protected the mice against a lethal challenge with mouse-adapted EBOV. Both T and B cell responses developed in mice receiving oral or nasal vaccination in different body compartments, indicating qualitative improvement of the immune response after mucosal immunization, compared with intramuscular vaccination. CONCLUSIONS: Overall, the breadth of the immune response noted after nasal or oral immunization, including stimulation of CD8+ T cells or effector memory T cells from the gastrointestinal tract or the lungs, was superior to that noted after intramuscular administration of the vaccine. The present study showed that adenovirus-based vaccine is effective against EBOV infection in mice after oral and nasal immunization.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.202
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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.

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

Citations56
Published2007
Admission routes1
Has abstractyes

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