Cardio-selective inhibitory effect of the betel nut extract: possible explanation
Bibliographic record
Abstract
Chewing of betel nut, the seed of Areca catechu, is associated with a host of physical and psychological effects while it is also traditionally used in constipation and hypertension. In this study, we report the cardio-selective cholinomimetic activity of the betel nut crude extract (Ac.Cr). Ac.Cr, that tested positive for saponins, tannins, phenols, alkaloids and terpenes, exhibited dose-dependent atropine-sensitive inhibition of isolated guinea-pig atrial contractility with an EC50 value of 0.93 microg/ml (0.57-1.51, 95% CI). In rabbit jejunum, Ac.Cr showed atropine-sensitive spasmogenicity with an EC50 of 7.31 microg/ml (5.41-9.88, 95% CI) showing that it is around 8 times more potent in the cardiac than the intestinal preparation. Both carbachol and physostigmine exhibited acetylcholine-like stimulant activity in jejunum with the latter being more potent in jejunum than in atrial tissues. Activity-directed fractionation of Ac.Cr yielded fractions with similar cholinergic activity in atria and jejunum except the aqueous fraction being 6 times more potent in the atria. Arecoline, the known betel nut compound with cholinergic activity showed similar potency in both tissues while catechin and tannic acid exhibited intestinal spasmolytic effect but were inactive in atria. The results show the cardio-selective inhibitory effect of Ac.Cr which might possibly be due to selective gut-spasmolytic behaviour of catechin and tannic acid thus reducing the cholinomimetic activity of Ac.Cr in the gut though the preferential binding of the constituents of betel nut extract at muscarinic receptor subtypes in heart cannot be ignored.
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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 | 0.000 |
| 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) | 0.002 | 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".