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Record W1966885185 · doi:10.1016/s0924-9338(09)70428-6

Netrin-1 Receptor Deficient Mice: A Phenotype Resistant to Psychopathology?

2009· article· en· W1966885185 on OpenAlexaff
Cecilia Flores

Bibliographic record

VenueEuropean Psychiatry · 2009
Typearticle
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsMcGill University
Fundersnot available
KeywordsDopaminergicNetrinPsychopathologyAddictionDopamine receptorSchizophrenia (object-oriented programming)DopamineNeurosciencePhenotypeMidbrainPsychologyDopamine receptor D2ReceptorPsychosisBiologyPsychiatryCentral nervous systemGeneticsGeneAxon guidance

Abstract

fetched live from OpenAlex

Dysfunctions of the midbrain dopaminergic system are implicated in the psychopathology of schizophrenia and other disorders including drug addiction. Abnormalities in brain development play an etiological role in schizophrenia leading to altered dopaminergic function in adulthood and increased vulnerability to the effects of stimulant drugs. Netrins are proteins that organize neuronal connectivity during development and their receptors are highly expressed in dopaminergic neurons. We find that adult netrin-1 receptor deficient mice exhibit altered dopamine-related behaviors and show profound molecular and anatomical changes in dopamine systems that appear opposite to those observed in developmental animal models of schizophrenia or following chronic use of drugs of abuse. Significantly, the signs of this apparently ‘protective’ phenotype are not evident in pre-pubertal mice. We propose that variations in netrin-1 receptor function at critical periods in development could contribute to individual differences in susceptibility to psychopathology.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.272
Teacher spread0.249 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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