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Record W2067859245 · doi:10.1002/eat.20073

The 5HTTLPR polymorphism, psychopathologic symptoms, and platelet [<sup>3</sup>H-] paroxetine binding in bulimic syndromes

2004· article· en· W2067859245 on OpenAlexaff
Howard Steiger, Ridha Joober, Mimi Israël, Simon N. Young, N.M.K. Ng Ying Kin, Lise Gauvin, Kenneth R. Bruce, Jasmine Joncas, Adam Torkamanzehi

Bibliographic record

VenueInternational Journal of Eating Disorders · 2004
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité de MontréalMcGill UniversityDouglas Mental Health University InstituteDouglas College
Fundersnot available
KeywordsImpulsivityParoxetinePsychologyBorderline personality disorderSerotonin transporterBulimia nervosaEating disordersClinical psychologyPsychiatryInternal medicineMedicineSerotoninAntidepressantAnxietyReceptor

Abstract

fetched live from OpenAlex

BACKGROUND: A short (s) allele in the promoter region of the 5-hydroxytryptamine (5-HT) transporter gene (5HTTLPR) has been associated with low transcription of the 5-HT transporter protein, and with clinical manifestations including impulsivity, affective disorder, and bulimia nervosa. METHODS: We studied implications of the 5HTTLPR s allele for eating symptoms, psychopathologic traits, and platelet [3H-] paroxetine binding in 59 women with bulimia spectrum syndromes. RESULTS: Compared with those without it, carriers of the s allele of 5HTTLPR showed significantly more affective instability, behavioral impulsivity, interpersonal insecurity, comorbid borderline personality disorder (BPD), and lower density (Bmax) of paroxetine-binding sites. CONCLUSIONS: Our results suggest that proneness to impulsivity, affective dysregulation, and reduced central 5-HT reuptake may (in part) be codetermined by the 5HTTLPR polymorphism. However, given inconsistent 5HTTLPR expression in different populations, we speculate that we may be observing a phenotype (i.e., eating disorder)-dependent manifestation.

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 score0.053
Threshold uncertainty score0.676

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 science0.0010.000
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 head0.014
GPT teacher head0.300
Teacher spread0.287 · 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

Citations95
Published2004
Admission routes1
Has abstractyes

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