Riboflavin status modifies the effects of methylenetetrahydrofolate reductase (MTHFR) and methionine synthase reductase (MTRR) polymorphisms on homocysteine
Bibliographic record
Abstract
Methylenetetrahydrofolate reductase (MTHFR)\nand methionine synthase red\nuctase (MTRR), riboflavin-\ndependent enzymes, participat\ne in homocysteine metabolism.\nReported effects of riboflavin status on the association between\nthe\nMTHFR\n677C\n[\nT polymorphism and homocysteine vary,\nand the effects of the\nMTRR\n66A\n[\nGor\nMTRR\n524C\n[\nTpoly-\nmorphisms on homocysteine are unclear. We tested the\nhypothesis that the effects of the\nMTHFR\n677C\n[\nT,\nMTRR\n66A\n[\nGand\nMTRR\n524C\n[\nT polymorphisms on fasting plasma\ntotal homocysteine (tHcy) depen\nd on riboflavin status (eryth-\nrocyte glutathionine reductase\nactivation coefficient, optimum:\n\n1.2; marginally deficient: 1.2–1.4; deficient:\nC\n1.4) in 771\nadults aged 18–75 years.\nMTHFR\n677T allele carriers with\nmiddle or low tertile plasma folate (\n\n14.7 nmol/L) had 8.2 %\nhigher tHcy compared to the 677CC genotype (\np\n\n0.01). This\neffect was eliminated when riboflavin status was optimal (\np\nfor\ninteraction: 0.048). In the\nlowest cobalamin quartile\n(\nB\n273 pmol/L), riboflavin status modifies the relationship\nbetween the\nMTRR\n66 A\n[\nG polymorphism and tHcy (\np\nfor\ninteraction: 0.034). tHcy was 6.6 % higher in\nMTRR\n66G allele\ncarriers compared to the 66AA\ngenotype with marginally\ndeficient or optimal riboflavin status, but there was no differ-\nence when riboflavin status was deficient (\np\nfor interaction:\n0.059). tHcy was 13.7 % higher in\nMTRR\n524T allele carriers\ncompared to the 524CC genoty\npe when cobalamin status was\nlow (\np\n\n0.01), but no difference was observed when we\nstratified by riboflavin status. The effect of the\nMTHFR\n677C\n[\nT polymorphism on tHcy depends on riboflavin status,\nthat of the\nMTRR\n66A\n[\nG polymorphism on cobalamin and\nriboflavin status and that of the\nMTRR\n524C\n[\nT polymorphism\non cobalamin status
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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) | 0.000 | 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) | 0.004 | 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".