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Record W2126247131 · doi:10.1099/0022-1317-81-11-2665

The in vivo effects of recombinant bovine herpesvirus-1 expressing bovine interferon-γ

2000· article· en· W2126247131 on OpenAlexaff
Camilo Raggo, Monique Habermehl, Lorne A. Babiuk, Philip Griebel

Bibliographic record

VenueJournal of General Virology · 2000
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBiologyVirologyRecombinant DNAIn vivoBovine herpesvirus 1InterferonVirusHerpesviridaeViral diseaseGeneGenetics

Abstract

fetched live from OpenAlex

To study the biological relevance of using bovine herpesvirus-1 (BHV-1) as a vector for expressing cytokines, a BHV-1 virus that expressed bovine interferon-gamma (IFN-gamma) was constructed. This recombinant virus (BHV-1/IFNgamma) was then used to infect the natural host in a respiratory disease model. In vitro characterization of the recombinant interferon-gamma confirmed that the cytokine expressed in BHV-1-infected cells was biologically active. The in vivo effects of the recombinant IFN-gamma were then analysed during a primary infection and after reactivation of a latent infection. During the primary infection, similar body temperature, clinical responses and virus shedding were observed for calves infected with either recombinant BHV-1/IFNgamma or parental gC(-)/LacZ(+) virus. An analysis of cellular and humoral responses did not reveal any significant immunomodulation by BHV-1/IFNgamma during the primary infection. The stability and activity of recombinant IFN-gamma was also analysed following the establishment of a latent infection. The presence of recombinant IFN-gamma did not significantly alter virus shedding following reactivation. The isolation of reactivated BHV-1/IFNgamma virus confirmed that a functional IFN-gamma gene was retained during latency. Thus, herpesviruses may provide virus vectors that retain functional genes during latency and recrudescence.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.477

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 head0.009
GPT teacher head0.270
Teacher spread0.262 · 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 designOther design
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

Citations49
Published2000
Admission routes1
Has abstractyes

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