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Record W7011249524

The link between perinatal depression and DNA methylation of the oxytocin receptor gene: a study of mothers and their children

2017· dissertation· en· W7011249524 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typedissertation
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsOxytocin receptorDNA methylationEpigeneticsDepression (economics)Edinburgh Postnatal Depression ScaleCpG sitePregnancyMethylationCohort
DOInot available

Abstract

fetched live from OpenAlex

Background: There is mounting evidence to suggest that exposure to stress during critical periods of development may increase one's susceptibility to disease risk, including depression. Perinatal depression (PD) may not only be associated with adverse outcomes among the mothers experiencing it, but also for the children exposed to PD, via epigenetic programming. We sought to investigate how PD may be associated with certain epigenetic profiles among mother and child dyads. Specifically, we focused on the oxytocin receptor (OXTR) gene due to oxytocin's role in maternal behavior and stress regulation. It is hypothesized that increased OXTR methylation will be observed for those mothers who experience PD and among those children exposed to PD. Methods: Using longitudinal data from a cohort of mothers and their infants, we collected information about the mothers' depressive symptomology across 5 time points (twice during pregnancy and three times during the postpartum period). Depressive symptomology was assessed using the Edinburgh Postnatal Depression Scale (EPDS) and four groups were established based on EPDS cut-off scores: no PD, prenatal or postpartum depression only and persistent PD (depression both prenatally and postpartum). DNA methylation was assessed using saliva obtained from both mother and child at the last time point – 2.9 years postpartum, for which the OXTR gene was interrogated for methylation patterns. Results: Those mothers with persistent PD had significantly higher OXTR methylation overall compared to the other groups. Specifically, 9 of the 22 CpG sites interrogated were significantly higher for the persistent PD group. However, average OXTR methylation among those children who were exposed to their mothers' persistent PD were not significantly different when compared to the other groups, with none of the 22 sites investigated within the exon 3 region showing significantly different methylation patterns. Discussion: For mothers, only persistent PD was associated with significantly higher OXTR methylation suggesting that more transient episodes of depression may not impact the epigenome to the same degree. The children's methylation profiles were not consistently associated with their mothers' depression. Given the link found between persistent PD and OXTR methylation among mothers, the combined psychological and epigenetic risk may have implications for the oxytocin system as well as compromise maternal behavior which may result in negative outcomes for the developing child.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.297
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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