Infection with<i>Bordetella parapertussis</i>but Not<i>Bordetella pertussis</i>Causes Pertussis‐Like Disease in Older Pigs
Bibliographic record
Abstract
The 3 major Bordetella species--namely, B. pertussis, B. parapertussis, and B. bronchiseptica--can be distinguished by their different host ranges. B. bronchiseptica infects a wide range of mammals (including humans), whereas B. pertussis infects only humans and, under experimental conditions, mice and pigs. In contrast, B. parapertussis, also a causative agent of pertussis, displays a unique host specificity with 2 subgroups, one infecting only humans and the other infecting only sheep. Here, we show that both strains of B. parapertussis also infect older piglets when delivered intrapulmonarily. Infected piglets displayed mild fever and respiratory symptoms, such as coughing and breathing difficulties. Importantly, transmission was observed between infected and noninfected piglets. In tracheal organ cultures, adherence to ciliated epithelial cells was observed. Furthermore, both strains of B. parapertussis displayed higher resistance than B. pertussis to neutralization by porcine beta-defensin 1 in the respiratory tract, which has been demonstrated to be associated with protection against B. pertussis disease in older pigs. The development of this new model will assist us in better understanding the pathogenesis of this disease and in the development of more-effective vaccines against pertussis.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".