The association among maternal early life stress, prenatal stress, and offspring epistress scores
Bibliographic record
Abstract
Maternal stress (early life stress (ELS) and prenatal stress (PNS)) influence offspring development via the biological embedding of stress. Maternal physiological stress system activation can be inherited by offspring in utero. However, the associations among maternal stress and offspring epigenetic profiles are unclear. This project aims to determine if PNS mediates the association between maternal ELS and offspring DNA methylation (EpiStress scores). A secondary analysis of data from expectant and new mothers (n=129) and their offspring was conducted. Age at sample collection and cell type proportions were highly correlated with offspring EpiStress scores leading to a stratified mediation analysis. Results indicate PNS was not a mediating factor between maternal ELS and offspring EpiStress scores. Maternal ELS negatively predicted newborn- and not infant EpiStress scores. This suggests that the biological embedding of stress from a mother to her newborn is specific to maternal ELS, not prenatal stress.
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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 | 0.001 |
| 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) | 0.002 | 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".