Impact of Sex and Genetic Variation in Relevant Pharmacogenes on the Pharmacokinetics and Safety of Valsartan, Olmesartan and Hydrochlorothiazide.
Paula Soria-ChacarteguiPablo ZubiaurDolores OchoaMarcos Navares-GómezHouwaida AbbesGonzalo Villapalos-GarcíaAlejandro de MiguelEva González-IglesiasAndrea Rodríguez-LopezGina P Mejía-AbrilSamuel Martín-VilchezSergio Luquero-BuenoManuel RománFrancisco Abad-SantosPublished in: International journal of molecular sciences (2023)
Drug combination therapy is the most common pharmacological strategy for hypertension management. No pharmacogenetic biomarkers for guiding hypertension pharmacotherapy are available to date. The study population were 64 volunteers from seven bioequivalence trials investigating formulations with valsartan, olmesartan and/or hydrochlorothiazide. Every volunteer was genotyped for 10 genetic variants in different transporters' genes. Additionally, valsartan-treated volunteers were genotyped for 29 genetic variants in genes encoding for different metabolizing enzymes. Variability in pharmacokinetic parameters such as maximum concentration (C max ) and time to reach it (t max ), the incidence of adverse drug reactions (ADRs) and blood pressure measurements were analyzed as a function of pharmacogenetic and demographic parameters. Individuals with the ABCB1 rs1045642 T/T genotype were associated with a higher valsartan t max compared to those with T/G and G/G genotypes ( p < 0.001, β = 0.821, R 2 = 0.459) and with a tendency toward a higher postural dizziness incidence (11.8% vs. 0%, p = 0.070). A higher hydrochlorothiazide dose/weight (DW)-corrected area under the curve (AUC ∞ /DW) was observed in SLC22A1 rs34059508 G/A volunteers compared to G/G volunteers ( p = 0.050, β = 1047.35, R 2 = 0.051), and a tendency toward a higher postural dizziness incidence (50% vs. 1.6%, p = 0.063). Sex impacted valsartan and hydrochlorothiazide pharmacokinetics, showing a lower exposure in women, whereas no significant differences were found for olmesartan pharmacokinetics.
Keyphrases
- blood pressure
- adverse drug
- combination therapy
- risk factors
- genome wide
- hypertensive patients
- heart rate
- emergency department
- polycystic ovary syndrome
- physical activity
- type diabetes
- electronic health record
- smoking cessation
- metabolic syndrome
- gene expression
- insulin resistance
- adipose tissue
- glycemic control
- body weight
- genome wide analysis