Electrophysiological Effects of Zhigancao Decoction on Guinea Pigs with Ischemia-hypoxia-induced Arrhythmia
Bibliographic record
Abstract
Objective To explore the electric activities of left ventricular outflow tract induced by hypoxia and ischemia, and to investigate the antiarrhythmic effect of Zhigancao Decoction. Methods Conventional intracellular microelectrode technique was used to record the electrophysiological parameters of spontaneous slow action potential duration (APD), 50 % of APD (APD50) and 90 % of APD (APD50), automatic depolarization velocity (VDD) and rate of potential frequency (RPF) in guinea pigs left ventricular outflow tract pacemaker cells of normal control group, ischemia- hypoxia group and ischemia- hypoxia adding Zhigancao Decotion group. Results Compared with normal controls, action potentials of APD50, APD90 and APD of ventricular outflow tract in ischemia- hypoxia group were significantly shortened (P 0.05), VDD and RPF significantly slowered (P 0.01), and there existed arrhythmia .The addition of Zhigancao Decotion can significantly prolong APD50, APD90 and APD, accelerate VDD and RPF (P 0.05). Twenty minutes after reperfusion, spontaneous discharge frequency recovered to the normal control rhythm. Conclusion The result indicates that the automaticity of left ventricular outflow tract can be influenced by hypoxia and ischemia, and Zhigancao Decoction can counteract arrhythmia induced by ischemia and hypoxia, suggesting that the therapeutic mechanism of Zhigancao Decoction for the treatment of arrhythmia induced by ischemia and hypoxia is related to the regulation of the slow response of left ventricular outflow tract abnormalities.
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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".