Experimental induction of recurrent airway obstruction with inhaled fungal spores, lipopolysaccharide, and silica microspheres in horses
Bibliographic record
Abstract
OBJECTIVE: To evaluate experimental induction of recurrent airway obstruction (RAO) with inhaled fungal spores, lipopolysaccharide, and silica microspheres in horses. ANIMALS: 7 horses with and 3 horses without a history of RAO. PROCEDURES: RAO-susceptible horses ranged in age from 17 to approximately 30 years, and control horses ranged in age from 7 to approximately 15 years. Pure mold cultures were derived from repeated culture of hay and identified via gene amplification and sequencing. Pulmonary function testing and bronchoalveolar lavage were performed before and after nebulization with a suspension of spores derived from 3 fungi, lipopolysaccharide, and 1-microm silica microspheres in all horses. This was followed by a 4-month washout period and a further pulmonary function test followed by saline (0.9% NaCl) solution challenge and bronchoalveolar lavage. RESULTS: Lichtheimia corymbifera, Aspergillus fumigatus, and Eurotium amstelodami were consistently identified in cultures of moldy hay. Nebulization with fungal spores, lipopolysaccharide, and microspheres induced significant increases in pleural pressure in RAO-susceptible but not control horses. Airway neutrophilia developed in both groups of horses with exposure to challenge material but more severely in RAO-susceptible horses. CONCLUSIONS AND CLINICAL RELEVANCE: Results indicated that inhalation of fungal spores in combination with lipopolysaccharide and silica microspheres can induce disease exacerbation in susceptible horses and may thus be a useful model for future standardized studies of RAO in horses.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".