ArticlePharmaceutics2020
Physiologically Based Pharmacokinetic Modeling of Metoprolol Enantiomers and α-Hydroxymetoprolol to Describe CYP2D6 Drug-Gene Interactions.
Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed.
- Pharmacogenetics in pediatric cardiology.Frontiers in pediatrics · 2026Article
- Predicting drug-drug interactions between ayahuasca alkaloids and SSRIs using physiologically based pharmacokinetic modeling.Frontiers in molecular biosciences · 2026Article
- A Comprehensive CYP2D6 Drug-Drug-Gene Interaction Network for Application in Precision Dosing and Drug Development.Clinical pharmacology and therapeutics · 2025Article
- Pharmacometabolomics Detects Various Unreported Metoprolol Metabolites in Urine of (Potential) Living Kidney Donors and Kidney Transplant Recipients.Clinical pharmacokinetics · 2025Article
- Potential role of microbiota in ovarian cancer treatment.Archives of medical science : AMS · 2025Article
- Physiologically based pharmacokinetic modeling of imatinib and N-desmethyl imatinib for drug-drug interaction predictions.CPT: pharmacometrics & systems pharmacology · 2024Article
- Ageing and Polypharmacy in Mesenchymal Stromal Cells: Metabolic Impact Assessed by Hyperspectral Imaging of Autofluorescence.International journal of molecular sciences · 2024Article
- Physiologically Based Pharmacokinetic Modeling to Unravel the Drug-gene Interactions of Venlafaxine: Based on Activity Score-dependent Metabolism by CYP2D6 and CYP2C19 Polymorphisms.Pharmaceutical research · 2024Article
- Physiologically based pharmacokinetic (PBPK) modeling to predict the pharmacokinetics of irbesartan in different CYP2C9 genotypes.Archives of pharmacal research · 2023Article
- Physiologically Based Pharmacokinetic Model To Predict Metoprolol Disposition in Healthy and Disease Populations.ACS omega · 2023Article
- Physiologically-based pharmacokinetic modeling of quinidine to establish a CYP3A4, P-gp, and CYP2D6 drug-drug-gene interaction network.CPT: pharmacometrics & systems pharmacology · 2023Article
- Article
- Physiologically Based Pharmacokinetic Modeling to Describe the CYP2D6 Activity Score-Dependent Metabolism of Paroxetine, Atomoxetine and Risperidone.Pharmaceutics · 2022Article
- Physiologically-based pharmacokinetic modeling of dextromethorphan to investigate interindividual variability within CYP2D6 activity score groups.CPT: pharmacometrics & systems pharmacology · 2022Article
- Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China.BMC genomic data · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The beta-blocker metoprolol (the sixth most commonly prescribed drug in the USA in 2017) is subject to considerable drug-gene interaction (DGI) effects caused by genetic variations of the
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Registered trials
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.