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Record W2106728374 · doi:10.1089/vim.2015.0054

Cytokine Gene Expression in Lung Mononuclear Cells of Chickens Vaccinated with Herpesvirus of Turkeys and Infected with Marek's Disease Virus

2015· article· en· W2106728374 on OpenAlexafffund
Payvand Parvizi, Jennifer T. Brisbin, Leah R. Read, Shayan Sharif

Bibliographic record

VenueViral Immunology · 2015
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPeripheral blood mononuclear cellVirologyMarek's diseaseVirusBiologyImmune systemImmunologyCytokineReverse transcription polymerase chain reactionGene expressionGeneIn vitro

Abstract

fetched live from OpenAlex

Marek's disease virus (MDV) enters the chicken host through the respiratory system. However, little is known about the host immune responses induced by MDV in the lungs. To characterize these responses, chickens were vaccinated with herpesvirus of turkeys (HVT) and challenged with the RB1B strain of MDV via the respiratory route. Lung mononuclear cells of vaccinated only, challenged only, vaccinated and challenged, as well as age-matched controls were isolated at 4, 10, and 21 days post-infection. Real-time quantitative reverse transcription polymerase chain reaction was used to assess the expression of various cytokines. There was significant upregulation of interferon (IFN)-γ and interleukin (IL)-10 in lung mononuclear cells of HVT-vaccinated and RB1B challenged and unvaccinated and RB1B challenged chickens. However, in lung mononuclear cells isolated from chickens that were vaccinated with HVT but remained uninfected, there was an upregulation of IL-4 and IL-13. This study indicates that MDV- and HVT-associated cytokines expressed by lung mononuclear cells are temporally regulated and that these cytokines may be involved in immunity against the virus.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.547

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 head0.239
Teacher spread0.229 · 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 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

Citations7
Published2015
Admission routes2
Has abstractyes

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