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Record W2608510893

Investigating the Role of Cytokines in Immunity to Marek's Disease

2012· dissertation· en· W2608510893 on OpenAlexfundno aff
Kamran Haq

Bibliographic record

VenueThe Atrium (University of Guelph) · 2012
Typedissertation
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsnot available
FundersMinistry of Agriculture, Food and Rural AffairsNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural AffairsPoultry Industry Council
KeywordsMarek's diseaseImmunologyImmunityDiseaseVirologyMedicineBiologyImmune systemVirusPathology
DOInot available

Abstract

fetched live from OpenAlex

Marek’s disease (MD) is a lymphoproliferative disease of chickens caused by an oncogenic herpesvirus, Marek’s disease virus (MDV). Despite the availability of MD vaccines, little is known about the underlying immunological mechanisms that mediate vaccine-induced immunity. The objective of this research was to elucidate these mechanisms. To characterize host responses in the lungs, chickens were vaccinated with herpesvirus of turkeys (HVT) and infected with MDV-RB1B. Vaccinated MDV-infected chickens had a higher accumulation of viral genome in the lungs, associated with T cell infiltration in lung tissue and an up-regulation of interferon (IFN) - and interleukin (IL) -10. This finding led us to conclude that IFN-γ has a role in immunity; hence, we further investigated the role of this cytokine. The hypothesis tested was that the protective efficacy of HVT against MDV-RB1B would be enhanced when combined with recombinant chicken IFN-γ (rChIFN-). Chicken IFN-γ coding sequence was cloned into an expression plasmid, and the bioactivity of rChIFN- was confirmed. Administration of this plasmid led to a significant reduction in tumour occurrence in HVT vaccinated MDV-infected chickens, suggesting enhanced vaccine-induced immunity. To shed more light on the relevance of IFN-γ to immunity against MD, studies were designed to down-regulate the expression of IFN-γ in chicken tissues. Three small interfering (si)RNAs specific for chicken IFN- were selected which significantly inhibited expression of IFN-γ by up to 80% in cultured cells. These three siRNAs and a non-target control were cloned and expressed as short hairpin RNA (shRNA) using an avian adeno-associated virus (rAAAV) vector system. An MDV challenge trial was conducted once shRNA expression by the rAAAV was confirmed in vitro. It was reasoned that down-regulation of IFN- would lead to abrogation of immunity conferred by HVT. There was an increase in the number of chickens with tumours that received HVT and rAAAV + IFN-γ shRNA compared to the control group, though not statistically significant. However, no difference in MDV genome load in feathers was detected between vaccinated MDV-infected birds with or without rAAAV. In summary, we have demonstrated here that cytokines are induced in the course of vaccination against Marek’s disease and that IFN-γ plays a role in vaccine-induced immunity against MD.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes1
Has abstractyes

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