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Record W2085206713 · doi:10.1592/phco.2005.25.12.1725

Effect of High‐Dose Vitamin C on Hepatic Cytochrome P450 3A4 Activity

2005· article· en· W2085206713 on OpenAlexaff
Rolf P. G. van Heeswijk, Curtis Cooper, Brian C. Foster, Bobby M. Chauhan, Farshad H. Shirazi, Isabelle Seguin, Elizabeth J. Phillips, Ed Mills

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2005
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsCanadian College of Naturopathic MedicineAIDS VancouverOttawa Regional Cancer FoundationUniversity of OttawaOttawa HospitalHealth CanadaHIV Legal Network
Fundersnot available
KeywordsCYP3A4MedicineConfidence intervalInternal medicineVitaminCytochrome P450Vitamin D and neurologyEndocrinologyGastroenterologyMetabolism

Abstract

fetched live from OpenAlex

STUDY OBJECTIVES: To investigate the effect of high-dose vitamin C on cytochrome P450 (CYP) 3A4 activity, and to evaluate possible sex-specific effects on CYP3A4 activity. DESIGN: Single-center longitudinal study. SETTING: Tertiary- and specialty-care teaching hospital. SUBJECTS: Fourteen healthy Caucasian adult volunteers (seven men, seven women). INTERVENTION: Subjects self-administered vitamin C 500 mg twice/day for 14 days. MEASUREMENTS AND MAIN RESULTS: Hepatic CYP3A4 activity was measured by using the erythromycin breath test on days 1 (baseline) and 15. Overall, no significant effect of vitamin C on CYP3A4 activity was observed. Sex and baseline results were significant predictors of changes in CYP3A4 activity. In men, mean activity increased by 21.9% (95% confidence interval -3.88-47.6%). The effect in women was not consistent. CONCLUSION: Sex and baseline CYP3A4 activity appeared to influence the effect of vitamin C on CYP3A4 activity.

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)0.003
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.000
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 head0.051
GPT teacher head0.421
Teacher spread0.370 · 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

Citations17
Published2005
Admission routes1
Has abstractyes

Explore more

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