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Record W2510478406

An Investigation of Nicotine Metabolism in Mice: The Impact of Pharmacological Inhibition and Genetic Influences on Nicotine Pharmacology

2010· dissertation· en· W2510478406 on OpenAlexfundno aff
Eric Siu

Bibliographic record

VenueTSpace · 2010
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNicotinic Acetylcholine Receptors Study
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsNicotinePharmacologyMetabolismMedicineChemistryEndocrinologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Smoking is one of the single greatest causes of numerous preventable diseases. We were interested in developing an animal model of nicotine metabolism that can be used to examine the effects of potential CYP2A6 inhibitors on nicotine metabolism and nicotine-mediated behaviours. Pharmacogenetic studies have demonstrated that in humans, smoking behaviour is associated with rates of nicotine metabolism by the CYP2A6 enzyme. Mouse CYP2A5 shares structural and functional similarities to human CYP2A6 and has been implicated in nicotine self-administration behaviours in mice, therefore the mouse represents a potential animal model for studying nicotine metabolism. METHODS: We characterized nicotine and cotinine metabolism in two commonly used mouse strains (DBA/2 and C57Bl/6). We also examined the association between nicotine self-administration behaviours and nicotine metabolism, and the impact of direct manipulation (i.e. inhibition) of nicotine metabolism on nicotine pharmacodynamics (hot-plate and tail-flick tests) in mice. Finally, we studied the effect of selegiline (a known cytochrome P450 mechanism-based inhibitor) on nicotine metabolism in mice and in human CYP2A6. RESULTS: Nicotine metabolism in mice in vitro was mediated by CYP2A5, and this enzyme was responsible for over 70% and 90% of the metabolism of nicotine to cotinine and cotinine to 3-hydroxycotinine as shown by immuno-inhibition studies, respectively. A polymorphism in CYP2A5 between mouse strains, known to alter the probe substrate coumarin’s metabolism, did not affect nicotine metabolism but dramatically altered cotinine metabolism. Nicotine self-administration behaviour in mice was associated with level of hepatic CYP2A5 proteins and rates of nicotine metabolism in male mice. In inhibition studies, the CYP2A5/6 inhibitor methoxsalen inhibited both in vitro and in vivo nicotine metabolism in mice and substantially increased the anti-nociceptive effect of nicotine. Finally, selegiline was found to be an inhibitor of CYP2A5 decreasing nicotine metabolism in vitro and in vivo in mice. Moreover, we showed that selegiline is a mechanism-based inhibitor of CYP2A6 inhibiting nicotine metabolism irreversibly. CONCLUSION: The above data suggested that the mouse model may be suitable for examining the impact of inhibition (and genetic variation) on nicotine metabolism and nicotine-mediated behaviours and may potentially be used to screen for novel inhibitors of nicotine metabolism.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.366
Teacher spread0.354 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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