<scp><i>MTHFR</i></scp> promoter methylation might mitigate the effect of smoking at the level of <scp>LINE</scp>‐1 in cleft lip tissues: A preliminary study
Bibliographic record
Abstract
BACKGROUND: The medial and maxillary aspects of the upper lip originate at separate embryonic stages and therefore may experience different maternal exposure patterns which may affect methylation. Based on this hypothesis, we investigated the level of methylation of the methylene tetrahydrofolate reductase promoter gene (mMTHFR) in tissues from cleft lip, and mMTHFR levels by MTHFR c.677C > T genotype. We further investigated whether mMTHFR mitigates the effect of smoking on long interspersed nuclear element (LINE-1) methylation in these tissues. METHODS: DNA extracted from medial and lateral tissues of 26 infants with nonsyndromic cleft lip with or without cleft palate (nsCL/P) was bisulfite converted and mMTHFR was measured on a pyrosequenser. LINE-1 methylation and MTHFR c.677C > T genotype data were obtained in our previous study. RESULTS: There was no substantial difference in mMTHFR (p = .733) and LINE-1 (p = .148) between the two tissues. mMTHFR was not influenced by MTHFR c.677C > T genotype, but there was suggestive evidence that the difference was larger among infants exposed to maternal smoking compared to nonexposed. LINE-1 methylation differences were significant (p = .025) in infants born to nonsmoking mothers, but this was not apparent (p = .872) in infants born to mothers who smoked. Our Pearson's correlation analysis suggested a weak inverse association between mMTHFR and LINE-1 (r = -.179, p = .381). CONCLUSION: Our preliminary observation of differences in patterns of mMTHFR levels in lip tissue suggests the interplay of gene and environment in the establishment of methylation in tissues at both sides of cleft lip. This requires investigation in a larger cohort, integrated with metabolic assessment.
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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) | 0.001 | 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".