<i>In vitro</i> hepatic metabolism of the natural product quebecol
Bibliographic record
Abstract
Quebecol (2,3,3-tri-(3-methoxy-4-hydroxyphenyl)-1-propanol) is a polyphenolic compound, which is formed during maple syrup production from Acer spp. Quebecol bears structural similarities to the chemotherapy drug tamoxifen, which has led to synthesis of structural analogues and investigations into their pharmacological properties, however there are no reports on the hepatic metabolism of quebecol.This interest in therapeutic properties spurred us to investigate the in vitro microsomal Phase I and II metabolism of quebecol. We were unable to detect any P450 metabolites for quebecol in either human liver microsomes (HLM) or rat liver microsomes (RLM). In contrast we observed marked formation of three glucuronide metabolites in both RLM and HLM, suggesting that clearance via Phase II pathways is likely to predominate.To further understand the hepatic contribution to first-pass glucuronidation we have validated an HPLC method following FDA and EMA guidelines (selectivity, linearity, accuracy, and precision) to quantify quebecol in microsomes. In vitro enzyme kinetics were performed for quebecol glucuronidation by HLM including 8 concentrations from 5-30 µM. We determined a Michaelis-Menten constant (KM) of 5.1 µM, intrinsic clearance (Clint,u) of 0.038 ± 0.001 mL/min/mg, and maximum velocity (Vmax) of 0.22 ± 0.01 µmol/min/mg.
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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) | 0.003 | 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".