ArticleClinical pharmacology and therapeutics2025
Improved Prediction of CYP2D6 Catalyzed Drug Metabolism by Taking Variant Substrate Specificities and Novel Polymorphic Haplotypes into Account.
Article in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Homology-Based Variant-Effect Predictors Break Down on Cytochrome P450 Pharmacogenes.bioRxiv : the preprint server for biology · 2026Article
- Does Next Generation Sequencing (NGS)-Based CYP2D6 Sequencing Improve Genotype-Phenotype Concordance in Tamoxifen-Treated Patients?Clinical pharmacology and therapeutics · 2026Article
- The evolving landscape of pharmacogenomics: Current achievements and future directions.Pharmacological reviews · 2026Review
- Impact of UGT1A9 Expression on Analgesic Efficacy and Safety of Postoperative Ketorolac in Thyroid Cancer Surgery: A Prospective Cohort Study.Journal of pain research · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The polymorphic CYP2D6 enzyme plays a pivotal role in the metabolism of approximately 25% of clinically prescribed drugs. However, the impact of specific genetic variants on the interindividual variability in CYP2D6-mediated drug metabolism remains insufficiently quantified. This translational study sought to address this gap by analyzing the genotypes and phenotypes of patients in two large clinical cohorts, focusing on the metabolism of the CYP2D6 substrates risperidone and desmethyltamoxifen. The analysis incorporated novel polymorphic haplotypes and substrate-specific differences among the CYP2D6.1, CYP2D6.2, and CYP2D6.35 enzyme variants. The study revealed that CYP2D6.2 and CYP2D6.35 exhibit reduced metabolic capacity for these substrates, both in vivo and in an in vitro expression model. This was evidenced by decreased catalytic turnover (Kcat), decreased substrate affinity, and altered substrate docking. Furthermore, novel polymorphic haplotypes on the CYP2D6*1, CYP2D6*2, and CYP2D6*35 backgrounds were identified, each associated with a 30-40% increase in CYP2D6 activity. Incorporating these findings into prediction equations significantly improved the genetic prediction accuracy (R
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