Low Oral Bioavailability and Pharmacokinetics of Senkyunolide A, a Major Bioactive Component in Rhizoma Chuanxiong, in the Rat
Bibliographic record
Abstract
The pharmacokinetics of senkyunolide A, one of the major bioactive ingredients in the traditional Chinese medicinal herb Rhizoma Chuanxiong, which is commonly used for the treatment of cardiovascular diseases, was studied in rats. After intravenous (IV) administration, senkyunolide A was extensively distributed (Vd/F: 6.74 +/- 0.73 L/kg) and rapidly eliminated from the plasma (CL/F: 7.20 +/- 0.48 L/h per kilogram and t1/2: 0.65 +/- 0.06 hr). Hepatic metabolism was suggested as the major route of senkyunolide A elimination as indicated by the results of in vitro S9 fraction study. After intraperitoneal (IP) administration, senkyunolide A exhibited dose-independent pharmacokinetics. The absorption after IP administration was rapid (Tmax: 0.04 +/- 0.01 hours), and the bioavailability was 75%. After oral administration, senkyunolide A was also absorbed rapidly (Tmax: 0.21 +/- 0.08 hours); however, its oral bioavailability was low (approximately 8%). The contributing factors were determined to be instability in the gastrointestinal tract (accounting for 67% of the loss) and hepatic first-pass metabolism (accounting for another 25%). Pharmacokinetics of senkyunolide A were unaltered when Chuanxiong extract was administered, which suggests that components in the extract have insignificant effects on senkyunolide A pharmacokinetics.
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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 | 0.001 |
| 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".