Establishment of an Aerosol-Based Marek's Disease Virus Infection Model
Bibliographic record
Abstract
Marek's disease virus (MDV), which is the causative agent of Marek's disease (MD), is shed by infected chickens and transmitted to other chickens through the respiratory route. Experimental reproduction of MD has been commonly done either by intra-abdominal inoculation of cell-associated MDV or by exposure to MDV-infected 'seeder' chickens. The former method does not mimic the natural route of MDV infection, whereas the latter method suffers from lack of uniformity in the timing and amount of virus transmission from seeder chickens to susceptible birds. The aim of the present study was to establish an infection model of MDV that mimics the natural route of infection. Here we report that when chickens were exposed for 20 min to aerosols (particle size 1.91 microm) of cell-free MDV suspensions containing 1280 plaque-forming units/ml, which were generated using a nebulizer, pathological and clinical signs of MD were observed in 95%-100% of the aerosol-exposed chickens by 21 days post-infection (dpi). Chickens that were exposed to aerosols and sampled at 1, 2, 3, 10, and 21 dpi showed MDV replication as early as 1 dpi in lungs as well as in other tissues such as spleen and bursa of Fabricius. This infection model will facilitate the studies directed to elucidate MDV-host interaction at the site of virus entry.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".