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Objective: The CYP2D6 enzyme is crucial for the metabolism and disposition of a variety of drugs. This study was conducted to examine the relationship between CYP2D6 gene polymorphisms and the response to angiotensin receptor blocker (ARB)-based treatment in patients of Chinese Bai ethnicity with hypertension.
Methods: Seventy-two hypertensive adults from the Chinese Bai ethnic group, exhibiting systolic blood pressure (SBP) ≥ 140 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg, were recruited. Targeted regional sequencing was utilized to genotype single nucleotide polymorphisms in the CYP2D6 gene, aiming to assess their frequency and to evaluate their influence on the therapeutic efficacy of ARB medications.
Results: Our research identified nine significant CYP2D6 polymorphisms associated with the efficacy of ARB treatment in the Bai hypertensive cohort. Specifically, patients possessing certain mutant genotype at rs111564371 exhibited substantially greater reductions in SBP and DBP, with P -values of 0.021 and 0.016, respectively, compared to those carrying the wild genotype. Additionally, these mutant genotype at rs111564371 and rs112568578 were linked to approximately 20% higher overall efficacy rates and a 10% increased achievement rate relative to the wild genotype.
Conclusion: Our research with the Bai hypertensive group shows that certain CYP2D6 polymorphisms significantly influence ARB treatment outcomes. Mutations at rs111564371 led to better blood pressure control ( P -values: 0.021 for SBP, 0.016 for DBP), improving ARB efficacy by appromixately 20% and increasing treatment goal achievement by 10% over the wild-type genotype.
Statements: Our investigation into CYP2D6 polymorphisms within the Bai hypertensive cohort marks a substantial advancement towards personalized healthcare, underscoring the pivotal influence of genetic constitution on the effectiveness of ARB therapy.
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http://dx.doi.org/10.1097/FPC.0000000000000537 | DOI Listing |
Clin Pharmacol Ther
September 2025
Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada.
Pharmacogenomics enables the personalization of drug therapy by linking genetic variations to differences in drug metabolism, efficacy, and risk of adverse reactions. Genetic polymorphisms within cytochrome P450 (CYP) genes significantly affect enzyme activity, influencing drug plasma levels, responses, and safety. Central to this process is accurate genotype-to-phenotype translation, especially for the CYP enzyme family, which metabolizes 70-80% of clinically used drugs.
View Article and Find Full Text PDFFront Pharmacol
August 2025
The Cardiac and Panvascular Medicine Diagnosis and Treatment Center, People's Hospital of Xinjiang Uyghur Autonomous Region, Xinjiang, China.
Background: Acute coronary syndrome (ACS) is a critical cardiovascular condition with diverse clinical presentations, necessitating personalized therapeutic approaches. This study explores the genetic variation associated with ACS subtypes in the Han and Uyghur Chinese populations to support the development of precision medicine approaches tailored to ethnic-specific genetic backgrounds.
Methods: A total of 985 ACS patients (668 Han and 317 Uyghur Chinese) representing different ACS subtypes were enrolled.
Folia Med (Plovdiv)
August 2025
OST-RUS, Saint Petersburg, Russia.
The study objective was to assess the frequency of gene alleles responsible for the metabolism and elimination of drugs in treatment-resistant patients to antipsychotics and/or antidepressants.
View Article and Find Full Text PDFInt J Mol Sci
August 2025
Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, 30-239 Krakow, Poland.
Cytochrome P450 (CYP450) enzymes play an essential role in the metabolism of drugs, particularly in phase I metabolic reactions. In this article, we present a comprehensive review of fifteen selected enzymes belonging to the CYP450 family. The enzymes included in this analysis are CYP7A1, CYP3A4, CYP3A5, CYP2D6, CYP2E1, CYP2C8, CYP2C18, CYP2C9, CYP2C19, CYP2B6, CYP2A6, CYP2A13, CYP1B1, CYP1A1, and CYP1A2.
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