Oxidation of the Lignan Nordihydroguaiaretic Acid
Bibliographic record
Abstract
The naturally occurring antioxidant lignan nordihydroguaiaretic acid has been used in traditional medicine to treat a variety of conditions and more recently has been investigated for its anticancer and antimicrobial properties. Nordihydroguaiaretic acid has also been shown to cause kidney toxicity in rats and there is evidence to suggest that chronic nordihydroguaiaretic acid consumption may cause liver toxicity in humans. Nordihydroguaiaretic acid likely undergoes biotransformation to a reactive quinone species, either an ortho-quinone or a para-quinone methide, which is responsible for its toxicity. In an effort to probe the toxicity of nordihydroguaiaretic acid, we oxidized nordihydroguaiaretic acid with both chemical and enzymatic systems and trapped the resultant products with glutathione. The nordihydroguaiaretic acid-glutathione adducts were compared with the products found when nordihydroguaiaretic acid was incubated in rat hepatic microsomes in the presence of glutathione. Glutathione metabolites consistent with ortho-quinone formation were the only oxidation products observed. Control experiments in microsomes however suggested that a majority of the nordihydroguaiaretic acid ortho-quinone glutathione adducts were formed as the result of nordihydroguaiaretic acid autoxidation. We measured the rate of this autoxidation process over a range of pH values and determined that the autoxidation reaction is base-catalyzed. We suggest that caution must be exercised when using nordihydroguaiaretic acid in experiments above pH 7.4 as relatively little of the parent compound may be left in incubations longer than 3 h.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".