Diet, Plasma, Erythrocytes, and Spermatozoa Fatty Acid Composition Changes in Young Vegan Men
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract There has been increasing interest in vegan diets, but how this dietary pattern regulates tissue fatty acids (FA), especially in men, is unclear. Our aim was to evaluate the effect of a vegan diet on plasma, erythrocyte, and spermatozoa FA composition in young men. Two groups consisting of 67 young (18–25 years old) men were studied. One group following an omnivore diet but did not consume fish, shellfish or other marine foods (control, n = 33), and another group following a vegan diet (vegan, n = 34) for at least 12 months were compared. Dietary intake was assessed via a food frequency questionnaire and a 24‐h recall. FA composition was measured in plasma, erythrocyte phospholipids, and spermatozoa by gas–liquid chromatography. Compared to controls, the vegan group had higher reported intakes of carbohydrate, dietary fiber, vitamins (C, E, K, and folate), and minerals (copper, potassium) but lower intakes of cholesterol, trans FA, vitamins B 6 , D, and B 12 , and minerals (calcium, iron, and zinc). Vegan's reported a lower saturated FA and not arachidonic acid intake, both groups did not intake eicosapentaenoic acid and docosahexaenoic acid (DHA), but vegan's showed a higher alpha linolenic acid ALA intake. Vegans had higher plasma, erythrocyte phospholipid, and spermatozoa ALA, but lower levels of other n‐3 polyunsaturated fatty acid (PUFA), especially DHA. Vegans were characterized by higher ALA, but lower levels of other n‐3 PUFA, especially DHA in plasma, erythrocytes, and spermatozoids. The biological significance of these findings requires further study.
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.
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) | 0.000 | 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 it