Bone Marrow Progenitors in Allergic Airways Diseases: Studies in Canine and Human Models
Bibliographic record
Abstract
In a canine model of Ascaris suum-inducible bronchial hyperresponsiveness, we previously demonstrated that bone marrow-derived myeloid progenitors rise within 24 h of allergen inhalation; this effect is abolished by pretreatment with inhaled budesonide. We now report that this allergen-induced bone marrow response is observable in human asthmatics, and involves increases in both neutrophil-macrophage and eosinophil-basophil progenitors, within 6 h of allergen inhalation, as measured either by hematopoietic colony assays or by flow cytometric analyses of CD34+, IL-3R alpha+, and/or IL-5-responsive cell populations. In dogs, but not in humans, a transferrable serum hematopoietic activity accounts for the marrow response to inhaled allergen. These findings suggest that allergen-induced increases in bone marrow progenitor formation depend either on a serum hematopoietic factor(s) released after allergen challenge, or upon constitutive marrow upregulation of specific progenitors in allergic airway disease. Further studies to characterize the serum hematopoietic factor(s) and to determine the nature of any atopy-related progenitor profile are in progress.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".