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Record W2147883044 · doi:10.1002/mds.21447

Cocaine‐ and amphetamine‐regulated transcript is increased in Huntington disease

2007· article· en· W2147883044 on OpenAlexaff
Maria Björkqvist, Blair R. Leavitt, Jørgen E. Nielsen, G. Bernhard Landwehrmeyer, Daniel Ecker, Hindrik Mulder, Patrik Brundin, Åsa Petersén

Bibliographic record

VenueMovement Disorders · 2007
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsChild and Family Research InstituteBC Children's HospitalUniversity of British Columbia
FundersThorsten och Elsa Segerfalks StiftelseCure Huntington's Disease InitiativeMagnus Bergvalls StiftelseHjärnfondenVetenskapsrådetRosenberg Foundation
KeywordsCartCocaine and amphetamine regulated transcriptAmygdalaNeuropeptideHypothalamusInternal medicineEndocrinologyAnxietyEnergy homeostasisBiomarkerHippocampusPsychologyHuntington's diseaseAmphetamineCerebrospinal fluidHomeostasisDiseaseMedicineBiologyDopaminePsychiatryObesityGenetics

Abstract

fetched live from OpenAlex

Weight loss and anxiety frequently occur in individuals with Huntington's disease (HD) but the underlying mechanisms are not well-understood. Peptides produced in the hypothalamus are involved in regulating energy homeostasis and emotion. Recent data suggest that changes in neuropeptide levels may be reflected in the cerebrospinal fluid (CSF), and could therefore serve as biomarkers for HD. Cocaine- and amphetamine-regulated transcript (CART) is a neuropetide expressed in several brain regions such as the hypothalamus, amygdala, and hippocampus. CART has been shown to increase anxiety and reduce food intake in rodents by as yet unknown mechanisms. Individuals with a CART mutation exhibit increased anxiety. In cross-sectional CSF samples from HD patients (n = 39), we found that levels of CART peptide were significantly increased by 23% compared to control subjects (n = 28). Increased CART levels in HD therefore hold promise as a biomarker as well as a potential pathogenic mediator of symptoms.

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 categoriesMeta-epidemiology (narrow)
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 score0.247
Threshold uncertainty score1.000

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 head0.241
Teacher spread0.228 · 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.

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

Citations26
Published2007
Admission routes1
Has abstractyes

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