Effect of Th1 cytokines on acid secretion in pharmacologically characterised mouse gastric glands
Bibliographic record
Abstract
BACKGROUND AND AIMS: Acid secretion plays an important role in the ecology of Helicobacter species and acid secretory status heralds patterns of gastritis. The presence of inflammatory cells and their products, in close proximity to parietal cells, questions the extent of the effect of cytokines on acid secretion. METHODS: We adopted and extensively characterised the mouse gastric gland preparation and its secretory capacity, which was measured using (14)C-aminopyrine accumulation. Subsequently, we tested the secretory properties of a wide range of species specific cytokines, including those associated with Th1 and Th2 immune responses. RESULTS: (14)C-aminopyrine accumulation in mouse gastric glands was shown to be a very sensitive "in vitro" method of testing classical secretagogues and antisecretory compounds, and provided pharmacological data on acid secretion in the mouse. Only two mouse cytokines, interleukin 2 and interferon gamma, had a direct effect on acid secretion causing dose dependent inhibition. CONCLUSIONS: Both cytokines belong to the Th1 type immune response and consequently their inhibitory effect may play a role in the hyposecretion seen with H pylori infection and colonisation throughout the corpus of the stomach that potentially can lead to gastric atrophy and subsequently, in some cases, cancer.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".