Interferon and Antiallergic Drug Regulation of Histamine and Tumor Necrosis Factor-α in Rat Mast Cell Subsets
Bibliographic record
Abstract
We have further characterized the heterogeneity of mast cells (MCs) by comparing the ability of rat peritoneal MCs (PMCs) and intestinal mucosal MCs (IMMCs) to produce tumor necrosis factor (TNF)-alpha and by investigating its regulation by interferon (IFN) and the antiallergic drugs nedocromil sodium (NED) and sodium cromoglycate (SCG). Although IMMCs store less TNF-alpha than PMCs, they produced comparable amounts of TNF-alpha in cytotoxic assays. Just as SCG and NED inhibit histamine secretion from PMCs but not IMMCs, IFN exhibited a similar differential effect on histamine release from these cells. However, SCG, NED, and IFN inhibit TNF-alpha-dependent cytotoxicity by both PMCs and IMMCs and reduce the steady-state levels of mRNA for TNF-alpha in PMCs. Thus, the modulation of MC mediator release depends upon the MC population and mediator studied. The inhibitory effect of SCG and NED on TNF-alpha release from MCs may explain some of their anti-inflammatory and therapeutic effects.
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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 | 0.000 | 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".