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Record W7132990117

The Role of the Estrous Cycle on Human CYP2D6-mediated Harmine Response in CYP2D6-transgenic Mice

2022· dissertation· W7132990117 on OpenAlexaff
Claire Danielle McDonald

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEstrous cycleHarmineGenetically modified mouseDrugHuman brainMenstrual cycleRatónTransgene
DOInot available

Abstract

fetched live from OpenAlex

CYP2D is a drug metabolising enzyme found in the brain and the liver, whose activity in brain is influenced by both genetics and environment. Our aim was to investigate whether drug metabolism by CYP2D6 in brain could be altered by the estrous cycle. Using a previously established method, CYP2D6-transgenic and wild type female mice were given an intracerebroventricular injection of an inhibitor. After 24 hours, there may be irreversible inhibition of human CYP2D6 in transgenic brain, but not liver, and no irreversible inhibition of mouse CYP2D in either brain or liver. Harmine-induced hypothermia was increased in transgenic females in estrus but not diestrus, suggesting more CYP2D6 in brain in estrus. There was no effect of this inhibitor pre-treatment on harmine response in wild type females, or on peripheral drug concentrations. These data provide support that the menstrual cycle may impact CYP2D6 in human brain sufficiently to change drug response.

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 score0.013

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.054
GPT teacher head0.458
Teacher spread0.404 · 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
Published2022
Admission routes1
Has abstractyes

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