Bibliographic record
Abstract
Flaxseed contains 32% to 45% of its mass as oil of which 51% to 55% is α-linolenic acid. Flax lignan complex and secoisolariciresinol diglucoside (SDG) have been isolated from flaxseed. Flaxseed and its components have antioxidant, hypolipidemic and hypoglycemic effects. These are mostly due to the SDG content. Oxidative stress has been implicated in both type 1 and type 2 diabetes. Flaxseed, flaxseed oil and flax lignan complex have not been investigated as to whether they reduce the incidence of diabetes and/or delay the development of diabetes. However, their effects on serum glucose have been studied. Flaxseed and flax lignan complex improve glycemic control. Animal models of type I diabetes involving streptozotocin administration or utilizing Bio-Breed diabetic (BBdp) prone rats are associated with oxidative stress. SDG treatment reduced the incidence of diabetes using serum glucose levels by 75% in the streptozotocin model of diabetes and by 72% in the BBdp rat model of diabetes. These reductions in development of diabetes were associated with decreases in oxidative stress measured by serum and pancreatic malondialdehyde (MDA). SDG delays the development of diabetes in Zucker diabetic fatty (ZDF) rat model of type 2 diabetes and this effect was associated with a reduction in serum MDA and glycated haemoglobin A1C. The data suggest that SDG may have a great potential for reducing the incidence of type 1 diabetes and delaying the development of type 2 diabetes in humans.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".