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Record W2412919176 · doi:10.1002/dev.21414

Sculpting infant soothability: the role of prenatal SSRI antidepressant exposure and neonatal <i>SLC6A4</i> methylation status

2016· article· en· W2412919176 on OpenAlexaff
Maria A. Gartstein, Kaia Hookenson, Ursula Brain, Angela M. Devlin, Ruth E. Grunau, Tim F. Oberlander

Bibliographic record

VenueDevelopmental Psychobiology · 2016
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsChild and Family Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsMethylationCpG siteAntidepressantDNA methylationSerotonin reuptake inhibitorMedicinePregnancyInternal medicinePsychologyOncologyBiologyGeneticsHippocampusGene

Abstract

fetched live from OpenAlex

The role of prenatal Selective Serotonin Reuptake Inhibitor (SSRI) exposure and SLC6A4 promoter methylation status in shaping soothability at 3 and 6 months of age, for infants exposed to antidepressant medication prenatally (n = 46) and those not exposed (n = 69) was investigated. SSRI exposure status and duration of exposure (number of days) were examined along with neonatal methylation status at mean CpG 9,10 and via factor analysis across 10 CpG sites yielding PC1 (CpGs sites: 3,4,5,7) and PC2 (CpG 1,8). Analyses revealed interactions for methylation markers and SSRI exposure variables. A significant interaction between SSRI exposure and mean SLC6A4 methylation at CpG 9,10 and separately for PC1 emerged, controlling for multiple birth/medical and background covariates (e.g., Apgar scores, maternal education). Increased neonatal methylation status was associated with increased soothability changes from 3 to 6 months among infants prenatally exposed to SSRIs.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.182
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.274
Teacher spread0.262 · 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 teacher head, 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

Citations18
Published2016
Admission routes1
Has abstractyes

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