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Record W2010933632 · doi:10.1159/000125415

Androgen Binding Sites in Human Temporal Cortex

2008· article· en· W2010933632 on OpenAlexafffund
Alain Sarrieau, John B. Mitchell, Samarthji Lal, André Olivier, Rémi Quirion, Michael J. Meaney

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsMontreal Neurological Institute and HospitalMcGill UniversityDouglas Mental Health University InstituteDouglas College
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDihydrotestosteroneInternal medicineEndocrinologyRadioligandAndrogenTestosterone (patch)Androgen receptorBinding siteHuman brainCortex (anatomy)Temporal cortexReceptorChemistryBiologyIn vitroRadioligand AssayNeuroscienceBiochemistryHormoneMedicine

Abstract

fetched live from OpenAlex

We have characterized putative androgen receptor binding sites in five separate biopsy samples of human temporal cortex from epilepsy patients using an in vitro exchange assay with soluble fractions and [3H]5 alpha-dihydrotestosterone as radioligand. The results revealed highly specific, saturable binding with an apparent affinity constant (Kd) of approximately 2 nM with a moderate capacity (Bmax) of approximately 50 fmol/mg protein. In competition studies, we found that only testosterone and 5 alpha-dihydrotestosterone competed effectively (i.e. at low nanomolar concentrations) for [3H]5 alpha-dihydrotestosterone binding sites. These data indicate the presence of androgen receptors in human cortex that are pharmacologically very similar to that previously described in rodent and infrahuman primate CNS, and suggest the existence of a possible mechanism whereby circulating androgens might influence neuronal events in human cortex.

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 score0.015
Threshold uncertainty score0.029

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)0.0020.000

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 head0.054
GPT teacher head0.304
Teacher spread0.250 · 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

Citations54
Published2008
Admission routes2
Has abstractyes

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