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Record W1980375760 · doi:10.1002/hipo.20849

Prenatal ethanol exposure enhances NMDAR‐dependent long‐term potentiation in the adolescent female dentate gyrus

2010· article· en· W1980375760 on OpenAlexafffund
Andrea K. Titterness, Brian R. Christie

Bibliographic record

VenueHippocampus · 2010
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsLong-term potentiationDentate gyrusHippocampusSynaptic plasticityPrenatal stressIn uteroCorticosteroneNeuroscienceEthanolEndocrinologyInternal medicinePsychologyChemistryGestationFetusPregnancyMedicineBiologyBiochemistryHormoneReceptor

Abstract

fetched live from OpenAlex

The dentate gyrus (DG) is a region of the hippocampus intimately involved with learning and memory. Prenatal exposure to either stress or ethanol can reduce long-term potentiation (LTP) in the male hippocampus but there is little information on how these prenatal events affect LTP in the adolescent female hippocampus. Previous studies suggest that deleterious effects of PNEE can, in part, be mediated by corticosterone, suggesting that prenatal stress might further enhance any alterations to LTP induced PNEE. When animals were exposed to a combination of prenatal stress and PNEE distinct sex differences emerged. Exposure to ethanol throughout gestation significantly reduced DG LTP in adolescent males but enhanced LTP in adolescent females. Combined exposure to stress and ethanol in utero reduced the ethanol-induced enhancement of LTP in females. On the other hand, exposure to stress and ethanol in utero did not alter the ethanol-induced reduction of LTP in males. These results indicate that prenatal ethanol and prenatal stress produce sex-specific alterations in synaptic plasticity in the adolescent hippocampus.

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)0.001
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 score0.177
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.011
GPT teacher head0.263
Teacher spread0.253 · 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

Citations55
Published2010
Admission routes2
Has abstractyes

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