Formate metabolism is altered in riboflavin‐deficient rats
Bibliographic record
Abstract
Riboflavin can play an important role in one‐carbon metabolism, particularly as its active forms, FAD and FMN, are used as cofactors in both the production and utilization of formate. Rats were fed either a riboflavin‐replete or a riboflavin‐deficient diet for 13 days at which point blood and tissue samples were taken. Riboflavin deficiency was assessed by the Erythrocyte Glutathione Reductase activation coefficient (EGRac). Total plasma homocysteine (Hcy), hepatic S‐adenosylmethionine (SAM), and S‐adenosylhomocysteine (SAH) concentrations were analyzed by HPLC. Hepatic methylenetetrahydrofolate reductase (MTHFR) was assessed by means of enzyme activity and immunoblot. Plasma formate was analyzed by GC‐MS. EGRac confirmed riboflavin deficiency. Plasma Hcy was elevated in the deficient animals. Hepatic SAM was lower in the deficient animals; there was no difference in SAH. MTHFR was found to be markedly reduced in the deficient group; plasma formate concentration was decreased by about 20%. The increased plasma Hcy and reduced hepatic SAM indicate an impairment in re‐methylation. The decreased plasma formate levels coupled with the defective remethylation suggest that the flavin‐dependent formate production may be decreased. This will be further examined by means of isotopic experiments to measure the endogenous rates of formate production. Grant Funding Source : Canadian Institutes of Health Research & Research Development Corporation of Newfoundland and Labrador
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".