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Record W1996475720 · doi:10.1017/s1461145705005572

Gene expression of tryptophan hydroxylase 2 in post-mortem brain of suicide subjects

2005· article· en· W1996475720 on OpenAlexafffund
Vincenzo De Luca, Olga Likhodi, Hubert H.M. Van Tol, Albert H.C. Wong

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2005
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsTPH2Tryptophan hydroxylaseGene expressionGene isoformBiologyDorsolateral prefrontal cortexGeneInternal medicineEndocrinologySerotoninPrefrontal cortexGeneticsMedicineNeuroscienceReceptor

Abstract

fetched live from OpenAlex

The tryptophan hydroxylase isoform-2 gene (TPH2) is located on chromosome 12 and is expressed primarily in brain tissue. While genetic association and mRNA expression studies implicate the tryptophan hydroxylase isoform-1 gene (TPH1) in depression and suicidality, the TPH1 gene is 150-fold less expressed in mouse brain than TPH2. We hypothesized that completed suicide is associated with abnormal TPH2 expression in the brain. TPH2 and beta-actin mRNA levels were measured in post-mortem brain using quantitative real-time PCR. mRNA samples provided by the Stanley Foundation Array Collection were derived from the dorsolateral prefrontal cortex (Brodmann Area 46) of 23 completed suicides and 23 control subjects. There is no difference in the mRNA levels between the suicide group and non-suicide group (p = 0.69). Although greater amounts of TPH2 mRNA were found in the suicide group, this difference was not significant. Further investigation of TPH2 gene expression is needed to clarify the potential role of this gene in the pathophysiology of suicide.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.023
GPT teacher head0.323
Teacher spread0.300 · 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 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

Citations26
Published2005
Admission routes2
Has abstractyes

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