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Record W4403276741 · doi:10.1126/scitranslmed.adh9763

Sleep-sensitive dopamine receptor expression in male mice underlies attention deficits after a critical period of early adversity

2024· article· en· W4403276741 on OpenAlexaff
Yuichi Makino, Nathaniel Hodgson, Emma Doenier, Anna Victoria Serbin, K Osada, Pietro Artoni, Matthew Dickey, Breanna T Sullivan, Amelia Potter-Dickey, Jelena Komanchuk, Bikram Sekhon, Nicole Létourneau, Neal D. Ryan, Jeanette M. Trauth, Judy L. Cameron, Takao K. Hensch

Bibliographic record

VenueScience Translational Medicine · 2024
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPeriod (music)DopamineNeuroscienceDopamine receptorSleep (system call)PsychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Early life stress (ELS) yields cognitive impairments of unknown molecular and physiological origin. We found that fragmented maternal care of mice during a neonatal critical period from postnatal days P2-9 elevated dopamine receptor D2R and suppressed D4R expression, specifically within the anterior cingulate cortex (ACC) in only the male offspring. This was associated with poor performance on a two-choice visual attention task, which was acutely rescued in adulthood by local or systemic pharmacological rebalancing of D2R/D4R activity. Furthermore, ELS male mice demonstrated heightened hypothalamic orexin and persistently disrupted sleep. Given that acute sleep deprivation in normally reared male mice mimicked the ACC dopamine receptor subtype modulation and disrupted attention of ELS mice, sleep loss likely underlies cognitive deficits in ELS mice. Likewise, sleep impairment mediated the attention deficits associated with early adversity in human children, as demonstrated by path analysis on data collected with multiple questionnaires for a large child cohort. A deeper understanding of the sex-specific cognitive consequences of ELS thus has the potential to reveal therapeutic strategies for overcoming them.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
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 head0.038
GPT teacher head0.330
Teacher spread0.292 · 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 designBench or experimental
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

Citations9
Published2024
Admission routes1
Has abstractyes

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