Antioxidant activity of secoisolariciresinol diglucoside-derived metabolites, secoisolariciresinol, Enterodiol, and enterolactone
Bibliographic record
Abstract
Secoisolariciresinol diglucoside (SDG), an anti-oxidant isolated from flaxseed, is metabolized to secoisolariciresinol (SECO), enterodiol (ED), and enterolactone (EL) in the body. The effectiveness of SDG in hypercholesterolemic atherosclerosis, diabetes, and endotoxic shock could be due to these metabolites. These metabolites may have antioxidant activity. However, the antioxidant activity of these metabolites is not known. The antioxidant activity of SECO, ED, and EL was investigated using chemiluminescence (CL) of zymosan-activated polymorphonuclear leukocytes (PMNLs) [PMNL-CL]. Other antioxidants (SDG and vitamin E) were also used for comparison. SDG, SECO, ED, EL, and vitamin E, each in the concentration of 0.5, 1.0, 2.5, 5.0 and 10.0 mg/ml, produced a concentration-dependent reduction in zymosan-activated PMNL-CL. SDG, SECO, ED, EL, and vitamin E, in the concentration of 2.5 mg/ml, produced a reduction of zymosan-activated PMNL-CL by 23.8%, 91.2%, 94.2%, 81.6% and 18.7%, respectively. Activated PMNLs produce reactive oxygen species and luminol-dependent CL reflects the amount of oxygen species generated from activated PMNLs. The reduction of PMNL-CL, therefore, reflects the antioxidant activity of the compounds studied. These results suggest that the metabolites of SDG have antioxidant activity. The antioxidant activity was highest with SECO and ED and lowest with vitamin E. The antioxidant potency of SECO, ED, EL, and SDG was 4.86, 5.02, 4.35, and 1.27 respectively, as compared to vitamin E. SECO, ED and EL are respectively 3.82, 3.95, and 3.43 more potent than SDG.
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 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) | 0.001 | 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".