ReviewPharmacogenomics and personalized medicine2018
CYP2C9 polymorphisms in epilepsy: influence on phenytoin treatment.
Review in Pharmacogenomics and personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05450822 (The BrainDrugs-Epilepsy Study), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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.
The BrainDrugs-Epilepsy Study: A Prospective Open-label Cohort Precision Medicine Study in Epilepsy
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Influence of CYP2C9 and CYP2A6 on plasma concentrations of valproic acid: a meta-analysis.European journal of clinical pharmacology · 2020Pooled it
- Pharmacogenomics in epilepsy care across Asia.Epilepsia · 2026Review
- Article
- Natural Polymorphic Variants in the CYP450 Superfamily: A Review of Potential Structural Mechanisms and Functional Consequences.International journal of molecular sciences · 2025Review
- [Effect of High-Altitude Hypoxia on the Pharmacokinetics and Brain Distribution of Phenytoin Sodium in Epileptic Rats].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Pharmacokinetic profile of phenytoin in dried blood spot with high-performance liquid chromatography-photodiode array.Frontiers in pharmacology · 2024Article
- Ataxia and Seizures despite Phenytoin: A Case Report Highlighting the Importance of TDM and Genetic Influences.Case reports in neurological medicine · 2024Article
- Comprehensive Physiologically Based Pharmacokinetic Model to Assess Drug-Drug Interactions of Phenytoin.Pharmaceutics · 2023Article
- [Validation of the immunological method of kinetic interaction of microparticles in solution (KIMS) for the determination of phenytoin in saliva at the Hospital de Niños de Santísima Trinidad.]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2023Article
- The Promising Epigenetic Regulators for Refractory Epilepsy: An Adventurous Road Ahead.Neuromolecular medicine · 2023Review
- Racial and Ethnic Differences in Antiseizure Medications Among People With Epilepsy on Medicaid: A Case of Potential Inequities.Neurology. Clinical practice · 2023Article
- The BrainDrugs-epilepsy study: A prospective open-label cohort precision medicine study in epilepsy.Neuroscience applied · 2023Article
- Management of anti-seizure medications in lactating women with epilepsy.Frontiers in neurology · 2022Review
- Pharmacogenomics and COVID-19: clinical implications of human genome interactions with repurposed drugs.The pharmacogenomics journal · 2021Review
- Genetic Determinants inJournal of personalized medicine · 2021Review
- Gephyrin andPharmacogenomics and personalized medicine · 2021Article
- Genomic Risk Factors Driving Immune-Mediated Delayed Drug Hypersensitivity Reactions.Frontiers in genetics · 2021Review
- Impact of predictive, preventive and precision medicine strategies in epilepsy.Nature reviews. Neurology · 2020Review
- Genetic Landscape of Common Epilepsies: Advancing towards Precision in Treatment.International journal of molecular sciences · 2020Review
- Phenytoin intoxication associated with omeprazole administration in a child with defective CYP2C9.European journal of clinical pharmacology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenytoin (PHT) is an antiepileptic drug widely used in the treatment of focal epilepsy and status epilepticus, and effective in controlling focal seizures with and without tonic-clonic generalization and status epilepticus. The metabolization of PHT is carried out by two oxidative cytochrome P450 enzymes CYP2C9 and CYP2C19; 90% of this metabolization is done by CYP2C9 and the remaining 10% by CYP2C19. Genetic polymorphism of CYP2C9 may reduce the metabolism of PHT by 25-50% in patients with variants *2 and *3 compared to those with wild-type variant *1. The frequency distribution of CYP2C9 polymorphism alleles in patients with epilepsy around the world ranges from 4.5 to 13.6%, being less frequent in African-Americans and Asians. PHT has a narrow therapeutic range and a nonlinear pharmacokinetic profile; hence, its poor metabolization has significant clinical implications as it causes more frequent and more serious adverse effects requiring discontinuation of treatment, even if it had been effective. There is evidence that polymorphisms of CYP2C9 and the use of PHT are associated with an increase in the frequency of some side effects, such as cerebellar atrophy, gingival hypertrophy or acute cutaneous reactions. The presence of HLA-B*15:02 and CYP2C9 *2 or *3 in the same patient increases the risk of Stevens-Johnson syndrome and toxic epidermal necrolysis; hence, PHT should not be prescribed in these patients. In patients with CYP2C9 *1/*2 or *1/*3 alleles (intermediate metabolizers), the usual PHT maintenance dose (5-10 mg/kg/day) must be reduced by 25%, and in those with CYP2C9 *2/*2, *2/*3 or *3/*3 alleles (poor metabolizers), the dose must be reduced by 50%. It is controversial whether CYP2C9 genotyping should be done before starting PHT treatment. In this paper, we aim to review the influence of CYP2C9 polymorphism on the metabolization of PHT and the clinical implications of poor metabolization in the treatment of epilepsies.
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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.