Cytokine Gene Expression in Splenic CD4 <sup>+</sup> and CD8 <sup>+</sup> T-Cell Subsets of Chickens Infected with Marek's Disease Virus
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".