Cardiovascular and airway relaxant activities of peony root extract
Bibliographic record
Abstract
Paeonia emodi (peony) is a well known plant used medicinally to treat hypertension, palpitations, and asthma. Despite its popularity, there are few reports in the scientific literature examining its use in such conditions. We prepared a 70% ethanolic extract of peony root (Pe.Cr) and applied it to segments of guinea pig atria and trachea and rat aorta suspended separately in tissue baths. Activity against arachidonic acid (AA)-induced platelet aggregation was measured in human platelet-rich plasma. Airway relaxant effect was evaluated against acetylcholine (ACh)-induced airway contraction in mouse lung slices loaded with fluo-4. Pe.Cr (0.3-10 mg/mL) showed an atropine-resistant negative inotropic effect in atria. In rat aorta, an endothelium-independent vasodilatory effect (0.3-10 mg/mL) was seen in phenylephrine- and high-K+-induced contractions. Pe.Cr (0.01-1 mg/mL) also inhibited AA-induced platelet aggregation. In isolated trachea, Pe.Cr (0.3-10 mg/mL) relaxed carbachol- and histamine-induced contractions independently of beta-adrenergic receptors. In mouse lung slices, Pe.Cr (0.3-1 mg/mL) inhibited ACh-induced airway narrowing and oscillations of intracellular Ca2+ in airway smooth muscle cells. The results showed cardiosuppressant, vasodilatory, antiplatelet, and tracheal and airway relaxant activities of peony, providing potential justification for its medicinal use in different hyperactive cardiovascular and respiratory disorders.
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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 | 0.001 |
| 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".