Marek's Disease Virus Induces Th-2 Activity During Cytolytic Infection
Bibliographic record
Abstract
Marek's disease (MD) is a lymphoproliferative disease of chickens that is caused by a highly cell-associated oncogenic alpha-herpesvirus, Marek's disease virus (MDV). The role of cytokines and other related proteins in MD pathogenesis and immunity is poorly understood. The aim of this study was to examine the transcriptional profiling of a panel of cytokines and other immune-related genes in the splenic tissues of chickens infected with a highly oncogenic strain of MDV during cytolytic infection and latency. Real-time polymerase chain reaction analysis revealed significant upregulation in the expression levels of interleukins (IL)-1beta, IL-4, IL-6, IL-10, IL-12p35, and IL-13, interferons (IFN)-1alpha, IFN-1beta, and IFN-gamma, chicken myelomonocytic growth factor (cMGF), granulocyte-macrophage colony-stimulating factor (GM-CSF), and inducible nitric oxide synthase (iNOS) in the infected chickens at 5 d post-inoculation (lytic infection). The changes in the mRNA levels of IL-18 and MHC I were minimal in comparison to those of the control birds. There was no significant difference in the expression levels of IL-2, IL-8, MHC II, Bcl-2, Bcl-x, and Nr-13 between the two groups. With the exception of IL-10, which showed high transcriptional activity beyond the lytic phase, the expression patterns of all the tested genes were similar between the infected and age-matched control birds at 15 d post-inoculation (latency infection). Of the genes examined, in addition to the high transcriptional activities of IL-1beta, IL-6, IL-12, iNOS, and type 1 and 2 IFNs, the relative expression levels of IL-4, IL-10, and IL-13 were significantly upregulated in the infected chickens during the lytic phase of infection compared to uninfected controls (a 9- to 50-fold difference). This observation suggests that (1) an immune response with a Th-2 characteristic is induced by a very virulent plus MDV strain during the lytic phase of infection; and (2) there is no significant MDV-specific immune response in the latent phase of infection.
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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".