Cytokine Gene Expression in Lung Mononuclear Cells of Chickens Vaccinated with Herpesvirus of Turkeys and Infected with Marek's Disease Virus
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".