Comparative Pathology of Experimental Avibacterium Paragallinarum Infection in Chicken and Japanese Quail
Bibliographic record
Abstract
Abstract IntroductionAvibacterium paragallinarum (Av.paragallinarum) is the causative agent of infectious coryza (IC) in chicken, an economically devastating disease of poultry industry. Despite the availability of effective vaccines against IC, the infection is rampant in unorganized poultry sector. Moreover, reports of wider host susceptibility in poultry farms and under field conditions are also emerging. Av.paragallinarum affects the upper respiratory tract of birds and has a predilection for the nasal turbinates. However, no study has systematically evaluated the early pathological changes and mucosal immune responses during Av. paragallinarum infection in the nasal turbinates of chicken. Furthermore, the use of Japanese quail as an alternate experimental animal model than chicken in IC remain unexplored. Here, we examined clinical signs, gross and histopathological changes at the nasal turbinates following experimental Av. paragallinarum infection in chicken and Japanese quail. MethodsWe developed a comprehensive scoring system for recording gross and histopathologic lesions during infection. ResultsOur data show that chicken have a higher susceptibility to Av.paragallinarum infection than the Japanese quail. Japanese quail had significantly lower gross as well as histopathology score in nasal turbinates as compared to infected chicken. Importantly, chicken at an early age i.e. 2.5 weeks were able to induce mucosal immune responses against Av. paragallinarum infection. ConclusionOur findings suggest that there are demonstrable differences in the disease pathology and host immune response to Av. paragallinarum infection in chicken and Japanese quail and warrant further investigation for the use of Japanese quail as an animal model for IC.
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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 | 0.001 | 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".