Maternal smoking during pregnancy is associated with epigenetic modifications of the brain‐derived neurotrophic factor‐6 exon in adolescent offspring
Bibliographic record
Abstract
Prenatal exposure to maternal cigarette smoking (PEMCS) is associated with variations in brain and behavior in adolescence. Epigenetic mechanisms may mediate some of the consequences of PEMCS through methylation of deoxyribonucleic acid (DNA) in genes important for brain development, such as the brain-derived neurotrophic factor (BDNF). In the current study, we used bisulfite sequencing to assess DNA methylation of the BDNF promoter in the blood of adolescents whose mothers smoked during pregnancy. We demonstrate that PEMCS is associated with higher rates of DNA methylation in the BDNF-6 exon. These results suggest that PEMCS may lead to long-term down-regulation of BDNF expression via the increase of DNA methylation in its promoter region. Such mechanisms could, in turn, lead to modifications in both development and plasticity of the brain exposed in utero to maternal cigarette smoking.
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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".