Bibliographic record
Abstract
The research presented in this thesis addressed knowledge gaps for three medicinal plant taxa, Souroubea spp. (Marcgraviaceae) and Platanus (Platanaceae) as well as Echinacea spp. (Asteraceae). The primary pharmacological mechanism of Souroubea sympetala and Platanus occidentalis were well established, with pentacyclic triterpenes identified as major active principles. My results indicate that major triterpenoids, and crude plant extracts, selectively inhibited monoacyglycerol lipase (MAGL) activity but not fatty acid amide hydrolase (FAAH) activity. These data suggest a possible secondary anxiolytic mechanism of action through the endocannabinoid system (ECS). My study of herb-drug interactions of Souroubea and Plantanus products showed some potential risk when combined with a classic benzodiazepine class drug, diazepam, and I proposed a mechanism through in vitro CYP450 enzyme inhibition. The pharmacokinetic study revealed the difficulty of detecting betulinic acid in animal blood. To support the development a commercial botanical composed of these medicinal plants, an extraction method and a highly sensitive and selectivity HPLC-APCI-MS based quantification method was successfully developed and validated. Part II of this thesis focused on the impact of phytochemical variation and hepatic metabolism on the ECS activity of Echinacea spp. and explored the potential for new applications of Echinacea spp. as a natural health product. My research indicated that considerable variability in the content of phenolic and alkylamide (AKA) compounds reflected similar variability in in vitro bioactivity at ECS-related pharmacological targets. Following biochemometric analysis, several phenolic compounds and AKAs in Echinacea spp. were found to be significant independent variables determining FAAH inhibition and CB receptor activation. Hepatic metabolism was also found to affect the FAAH inhibition of AKA, as increased FAAH inhibitory effects were observed after CYP450-mediated metabolism of both individual AKAs and crude extracts of E angustifolia and E. purpurea, suggesting a “pro-drug” mechanism. Dose dependent activities were observed with oral administration of both E angustifolia and E. purpurea root extract in rat paw model of inflammation and pain. Further tests indicated these activities can be partially blocked by co-administration of CB1 and CB2 receptor antagonists AM251 and AM630, respectively. This evidence suggests activity for peripheral pain was at least partially mediated through the ECS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".