Pharmacokinetics and tissue distribution study of herpetotriol in rats by ultrahigh-performance liquid chromatography with tandem mass spectrometry
Bibliographic record
Abstract
Herpetotriol, a typical lignan in Herpetospermum pedunculosum Wall’s seeds that has long been used to treat icterhepatitis and indigestion and other related diseases in Tibet, is of potential hepatoprotection. This study aims to study the pharmacokinetics features of herpetotriol, including the blood drug concentration – time curve and tissue distribution. The ultrahigh-performance liquid chromatography with tandem mass spectrometry method was established to detect herpetotriol concentration in plasma and tissues, and the method showed good linearity from 10 to 2000 ng/mL (r ≥ 0.9972) and sensitivity (≥10 ng/mL). Our blood drug concentration – time curve indicated that herpetotriol was distributed quickly in rats with a Tmax value at about 0.083 h and eliminated rapidly with a clearance rate at 98.13 ± 8.05 and 137.04 ± 9.48 L·h–1·kg–1 with doses of 5 and 2.5 mg/kg, respectively. Although herpetotriol was detectable in all tested tissues, it has a higher concentration in liver than in heart, lung, spleen, and kidney, which is in line with its hepatoprotection. The pharmacokinetics features uncovered by the present study could provide more information for future pharmacological and toxicological study of herpetotriol.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".