Physiological and Pathological Considerations for the Use of Flaxseed as a Therapeutic Dietary Strategy
Bibliographic record
Abstract
The inclusion of flaxseed in the diet may have a great number of potential benefits for the well-being of both healthy individuals and those challenged by disease conditions as well. With an increase in the number and quality of studies focused on the physiological and pathophysiological effects of dietary flaxseed, our knowledge concerning the rationale for the inclusion of flaxseed in our diet has become more convincing and stronger. The purpose of this review is threefold. First, the review will comprehensively document the evidence supporting the value of dietary flaxseed to improve bodily health in both normal and disease conditions. Second, this review will identify the mechanisms of action responsible for these effects. Finally, this article will review practical aspects relevant to the inclusion of flaxseed in the diet. Briefly, supplementing the diet with flaxseed has beneficial effects on the treatment and/or prevention of different kinds of cardiovascular disease (hypertension, ischemic heart disease, myocardial infarcts, atherosclerosis), non-alcoholic fatty liver disease, breast cancer, bone strength, menopause, diabetes, and wound healing. Although some controversy exists on the component within flaxseed that provides these beneficial actions, it is likely that the rich content of the omega-3 fatty acid, alpha linolenic acid, is primarily responsible for the majority of these biological effects. It is concluded that the constantly expanding evidence in support of the inclusion of flaxseed in our daily diet to provide significant health benefits strongly encourages the initiation of additional work on dietary flaxseed in order to both confirm past findings as well as to further advance our knowledge regarding the important biological actions of dietary flaxseed.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".