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Record W4412641634 · doi:10.1111/jne.70071

Predictive utility of placental hypothalamic–pituitary–adrenal axis biomarkers and infant neurodevelopment

2025· article· en· W4412641634 on OpenAlexaff
Ludmila N. Bakhireva, Xingya Ma, Alexandria Wiesel, Jean Lowe, Rajani Rai, Elizabeth R. Solomon, Joanne Weinberg, Melissa Roberts

Bibliographic record

VenueJournal of Neuroendocrinology · 2025
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of British Columbia
FundersNational Institutes of Health
KeywordsMedicinePregnancyGlucocorticoid receptorHypothalamic–pituitary–adrenal axisProspective cohort studyBayley Scales of Infant DevelopmentFetusInternal medicineEndocrinologyPlacentaGlucocorticoidPhysiologyHormoneCognitionPsychiatryBiology

Abstract

fetched live from OpenAlex

Alcohol use remains common in pregnancy with prenatal alcohol exposure (PAE) associated with a plethora of adverse outcomes, including impaired emotional regulation and stress reactivity. Prior preclinical studies and emerging clinical evidence indicate that PAE affects the fetal hypothalamic-pituitary-adrenal (HPA) axis via the maternal-fetal interface in the placenta; however, little is known about the effect of these alterations on neurodevelopmental outcomes. We earlier reported on the effect of PAE and maternal stress on HPA axis biomarkers in placenta and umbilical cord (UC) blood; in the current study, we examined the effect of HPA axis biomarkers on infant neurodevelopmental outcomes at 6-9 months of term-equivalent age. Participants in the Ethanol, Neurodevelopment, Infant and Child Health (ENRICH-2) prospective cohort were followed from the second trimester of pregnancy until infants were 6-9 months of term-equivalent age. Maternal alcohol use was assessed through prospective interviews and a battery of ethanol biomarkers; maternal stress, by a Perceived Stress Scale (PSS). Placenta and UC blood specimens were collected shortly after birth, flash frozen, and analyzed for mRNA and protein expression of placental corticotropin-releasing hormone (pCRH), hydroxysteroid 11-beta dehydrogenase types 1 and 2 (HSD11B1, HSD11B2) and corresponding proteins (11β-HSD1 and 11β-HSD2), and Nuclear receptor subfamily 3 Group C Member 1-alpha (NR3C1-α) and corresponding glucocorticoid receptor alpha. UC plasma cortisol and cortisone levels were measured with ELISA. Bayley Scales of Infant Development, fourth edition (BSID-4; Motor, Language, Cognitive scores) and Infant Behavior Questionnaire Revised (IBQ-R; Surgency, Orienting/Regulation, Negative Affect) assessed neurodevelopment at 6-9 months of term-equivalent age. Pearson correlation was used to examine associations between placental HPA axis biomarkers and neurodevelopmental outcomes overall and after stratification by group (Alcohol/Control). Multivariable linear regression assessed the independent effect of placental biomarkers and Alcohol * biomarker interactions on infant outcomes after adjusting for Alcohol and maternal stress. Participants (32 Alcohol and 68 Controls) were comparable in sociodemographic characteristics. Activation of the placental HPA axis was correlated with a decrease in BSID-4 scores among Controls and an increase in IBQ-R scores (Surgency and Negative Affect) among Alcohol participants. In multivariable analyses, the HSD11B2/HSD11B1 ratio was associated with a decrease in Cognitive scores, and the Alcohol * pCRH interaction was associated with a decrease in Orienting/Regulation and an increase in Surgency and Negative Affect (all p's < .05), after adjusting for Alcohol and PSS. A significant independent effect of PSS was also observed on infant motor skills, Orienting/Regulation, and Negative Affect. This is the first clinical study to characterize the role of placental HPA axis biomarkers and maternal psychosocial stress in PAE-induced changes on infant neurodevelopment, highlighting the importance of a "placenta-brain axis". We demonstrated that the effects of mild-to-moderate PAE on infant neurobehavior were observed in participants with the highest quartile of pCRH expression, emphasizing the role of placental biomarkers in PAE-induced effects.

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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)0.001
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 score0.111
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.253
Teacher spread0.243 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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