Homocysteine lowering with folate, vitamin B12 and vitamin B6 does not alter the proportion of n‐3 long chain polyunsaturated fatty acids (LCPUFA) in plasma phosphatidylcholine.
Bibliographic record
Abstract
There is evidence to suggest that folate, homocysteine or both affect tissue n–3 LCPUFA composition. We aimed to determine whether homocysteine‐lowering with folate, vitamin B 12 , and B 6 affect the tissue composition of n‐3 LCPUFA in plasma phosphatidylcholine. We conducted a randomized placebo controlled clinical trial involving 253 participants, 65 y or older, with plasma homocysteine concentrations of at least 13 μmol/L. Participants in the vitamin group (n=127) took a supplement containing 1000 μg folate, 500 μg vitamin B12, and 10 mg vitamin B6 for 2y. The fatty acid composition of plasma phosphatidylcholine was measured at baseline and at 2 y. Plasma homocysteine concentrations during the course of the study were, on average, 4.4 μ mol/L lower in the vitamin group than in the placebo group. There were no significant differences in the proportion of eicosapentaenoic, docosapentaenoic or docosahexaenoic acids in plasma phosphatidylcholine between the vitamins and the placebo group at 2 y; the differences after adjusting for baseline values and sex were −0.03 (99% CI: −0.22, 0.16), 0.03 (−0.03, 0.09) and −0.02 (−0.27, 0.24) mol%, respectively. Lowering plasma homocysteine concentrations with B‐vitamins had no effect on the proportion of n‐3 LCPUFA in plasma phosphatidylcholine.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".