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Record W2008442436 · doi:10.1089/vim.2008.0062

Cytokine Gene Expression in Splenic CD4 <sup>+</sup> and CD8 <sup>+</sup> T-Cell Subsets of Chickens Infected with Marek's Disease Virus

2009· article· en· W2008442436 on OpenAlexafffund
Payvand Parvizi, Leah R. Read, Mohamed Faizal Abdul-Careem, Christopher Lusty, Shayan Sharif

Bibliographic record

VenueViral Immunology · 2009
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyCytokineCD8Immune systemMarek's diseaseT cellVirusVirologyMolecular biologyGene expressionImmunologyCytotoxic T cellInterferonFlow cytometryGeneIn vitroGenetics

Abstract

fetched live from OpenAlex

Specific-pathogen free chickens were infected with the RB1B strain of Marek's disease virus (MDV) and T cells from the spleens of infected as well as age-matched controls were fractionated by flow cytometry at 4, 10, and 21 days post-infection (d.p.i.). Real-time quantitative reverse transcription PCR was used to assess the amount of cytokine transcripts as well as viral genes meq and glycoprotein B (gB). There was an increase in the number of CD4(+) T cells, as well as a significant increase in the expression of the viral meq gene in CD4(+) T cells, which coincided with the presence of tumors in various organs of infected birds. It was also observed that there was a significant upregulation in the amount of the gene expression of interferon (IFN)-gamma, interleukin (IL)-18, and IL-6 at 4 and 21 d.p.i. in CD4(+) and CD8(+) T-cell subsets. The expression of IL-10 was upregulated as well. The outcome of the cytokine milieu inclined towards the induction of a type I immune response at 4 and 21 d.p.i. Our study indicates that MDV-associated cytokine profiles vary in CD4(+) and CD8(+) T-cell subsets, and that cytokines including IFN-gamma, IL-18, IL-6, and IL-10 may play a role in the elicitation of an immune response to MDV.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.240
Teacher spread0.231 · 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 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

Citations33
Published2009
Admission routes2
Has abstractyes

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