Determination of Hyperforin in Mouse Brain by High-Performance Liquid Chromatography/Tandem Mass Spectrometry
Bibliographic record
Abstract
Hyperforin is one of the essential active ingredients of St. John's wort extract, which is used as an antidepressant for mild to moderately severe depressions. In vitro and in vivo data as well as several clinical studies and meta analyses have confirmed the pharmacological effect of treatment with hyperforin-containing preparations. However, little is known about the brain availability of hyperforin until now. Accordingly, a highly sensitive and selective LC/MS method for this purpose was developed and validated. This method proved suitable for the determination of hyperforin in mouse brain, after oral administration of hyperforin sodium salt and St. John's wort extract. This method involves liquid-liquid extraction of hyperforin with ethyl acetate followed by separation with rapid reversed-phase high-performance liquid chromatography and tandem mass spectrometry detection using electrospray ionization. Excellent linearity was obtained for the entire calibration range from 0.25 to 10 ng/mL (corresponding to 2.5-100 ng/g brain tissue concentration, calculated with the factor derived from sample processing) with an average coefficient of correlation of 0.9992. The recovery of hyperforin from mouse brain homogenates was between 71.4 and 75.3% with a relative standard deviation of less than 3%. Validation assays for the lower limit of quantitation yielded an accuracy of 5.8%. Intraday accuracy and precision for the developed method were between 4.6 and 10.6% and 4.3-8.4%, respectively, while the interday parameters varied between 6.7 and 12.2% for accuracy and 2.0-5.0% for precision. After the method validation, hyperforin brain levels in mice, treated with 15 mg/kg hyperforin (either as the sodium salt or as 5% St. John's wort extract), were investigated. The average concentration of hyperforin found for the sodium salt group was 28.8+/-10.1 ng/g of brain (n = 8), which was somewhat higher than the hyperforin concentration of 15.8+/-10.9 ng/g of brain (n = 8), determined in the extract-treated group. This method is robust, selective, and highly sensitive and represents an appropriate tool to further prove the occurrence and distribution of hyperforin in mouse brain.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".