Effect of Aminoglutethimide on Neutrophils in Rats: Implications for Idiosyncratic Drug-Induced Blood Dyscrasias
Bibliographic record
Abstract
Aminoglutethimide (AMG) is an aromatic amine aromatase inhibitor associated with a high incidence of idiosyncratic blood dyscrasias, especially agranulocytosis. Animal models of idiosyncratic drug reactions (IDRs) represent essential tools to study these reactions; however, there is currently no valid model of idiosyncratic drug-induced agranulocytosis. Although AMG does not cause agranulocytosis in most animals or humans, drugs associated with serious IDRs generally cause a higher incidence of mild reactions that resolve despite continued treatment. Therefore, the effects of AMG on neutrophils and bone marrow in rats were studied to understand the mechanisms of more serious IDRs. An increase in peripheral blood neutrophils occurred as early as 24 h after AMG treatment with minimal changes to the total leukocyte count. Further investigation using 5-bromo-2'-deoxyuridine (BrdU) found an increased release of neutrophils from the bone marrow. Histologically, this corresponded to an increase in myeloid cells in the bone marrow, which was confirmed by differential staining with CD45 and CD71. AMG treatment stimulated an increase in colony forming unit granulocyte-macrophage and colony forming unit granulocyte ex vivo. There was also a marked increase in the number of activated neutrophils in the circulation expressing the extravasation marker CD62L. These findings indicate that AMG affects neutrophil production, release, and function. Similar effects on neutrophil kinetics in clozapine-treated rats have previously been found, and transient neutrophilia has been observed in patients taking other drugs associated with idiosyncratic agranulocytosis; therefore, the changes observed with AMG may be biomarkers to predict the risk that a drug will cause agranulocytosis.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 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".