Evidence map›Paper›PMID 31268632›Full record

ArticleCPT: pharmacometrics & systems pharmacology2019

Physiologically-Based Pharmacokinetic Modeling for the Prediction of CYP2D6-Mediated Gene-Drug-Drug Interactions.

Flavia Storelli, Jules Desmeules, Youssef Daali

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Keeping pace withPharmacogenomics · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. Prediction of Drug Clearance from Enzyme and Transporter Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Flavia StorelliDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva, Switzerland.
Jules DesmeulesDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva, Switzerland.
Youssef DaaliDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva, Switzerland.
University Hospital of Geneva · CHUniversity of Geneva · CH

Funding

Swiss National Science Foundation SNF 320030_182361
6 · The paper itself

Abstract

The aim of this work was to predict the extent of Cytochrome P450 2D6 (CYP2D6)-mediated drug-drug interactions (DDIs) in different CYP2D6 genotypes using physiologically-based pharmacokinetic (PBPK) modeling. Following the development of a new duloxetine model and optimization of a paroxetine model, the effect of genetic polymorphisms on CYP2D6-mediated intrinsic clearances of dextromethorphan, duloxetine, and paroxetine was estimated from rich pharmacokinetic profiles in activity score (AS)1 and AS2 subjects. We obtained good predictions for the dextromethorphan-duloxetine interaction (Ratio of predicted over observed area under the curve (AUC) ratio (R

Indexed as

AdultArea Under CurveComputer SimulationCytochrome P-450 CYP2D6DextromethorphanDrug InteractionsDuloxetine HydrochlorideHumansMaleModels, BiologicalParoxetinePharmacogenomic VariantsYoung AdultCytochrome P-450 CYP2D6DextromethorphanDuloxetine HydrochlorideParoxetine

Identifiers

PMID31268632
PMCPMC6709421
OpenAlexW2954268750

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.