Canadian Nutrition Society: Scientific abstracts from the 3rd annual scientific meeting / Société canadienne de nutrition : Résumés scientifiques de la 3e réunion scientifique annuelle
Bibliographic record
Abstract
Mandatory folic acid fortification of grain products was implemented in Canada in 1998 to prevent neural tube defects.Since then, blood levels of unmetabolized folic acid have more than doubled, generating concern as to the potential metabolic effects of elevated folate status.Folate metabolism is linked to vitamin B 12 , which is required as a cofactor in the methylation cycle.In Canada, population studies report that though women of child-bearing age have high folate status, many are low in vitamin B 12 .However, the biological effects of high folate status in the presence of low vitamin B 12 are not known.The goal of this study was to examine the effects of high folic acid and low vitamin B 12 status on Fads2 expression in adult mice.Fads2 encodes delta 6 desaturase, which catalyzes the first step in the desaturation and elongation of dietary essential fatty acids linoleic acid and linolenic acid.We targeted Fads2 because we have previously shown that low folate status affects Fads2 expression and fatty acid metabolism in the liver.C57BL/6J mice were fed one of the following diets from weaning for 10-12 weeks: high folic acid/ no vitamin B 12 (HFA), high folic acid/adequate vitamin B 12 (HFACo), or adequate folic acid/adequate vitamin B 12 (CFA).Serum vitamin B 12 levels of HFA-fed mice were lower (P = 0.0003) than CFA-fed mice after 6 and 12 weeks on diet (HFA 692.0 ng/L (6 weeks), and 361.0 ng/L (12 weeks); CFA 1582.0 ng/L (6 weeks), 1549.0 ng/L (12 weeks)).Fads2 mRNA expression was 46% lower (P = 0.04) in female HFA-fed mice compared with CFA-fed mice.This effect was not observed in male mice.Our findings suggest that high folic acid in the presence of low vitamin B 12 affect Fads2 expression in the liver.Further work is needed to determine whether this is mediated through methylation and epigenetic regulation of gene expression.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.200 | 0.054 |
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".