ABSTRACT
@#Abstract: Objective By analyzing the frequency distribution of antihypertensive drug-related genotypes in hypertensionpatients treated in our hospital, so as to provide a clinical basis for individualized treatment of hypertension patients. Methods A total of 72 hypertensive patients treated in Hainan Hospital of PLA General Hospital from June 2021 to April 2022 were collected. PCR-melting curve method was used to detect CYP2D6*10 (c.100 C>T), CYP2C9*3 (c.1075 A>C), ADRB1 (c.1165 G>C), AGTR1 (c.1166 A>C), ACE (I/D), NPPA (T2238C) and CYP3A5*3 (A6986G), and the relationship between different genotypes and biochemical indexes was analyzed. Results According to the statistics of the gene and genotype frequency of each point in 72 patients, the gene frequencies of 7 sites all conformed to Hardy Weinberg equilibrium. There were gender differences in ADRB1 genotypes (χ2 = 5.878, P<0.05). There were statistical differences in triglycerides [AA: 1.4 (1.0, 2.0)mmol/L; AC: 2.2 (1.5, 2.5)mmol/L; P=0.038], total cholesterol [AA: 4.0 (3.1, 4.9) mmol/L; AC: 4.8 (4.0, 5.3) mmol/L; P=0.040] and low-density lipoprotein cholesterol [(AA: 2.4 (1.8, 3.3) mmol/L; AC: 3.2 (2.5, 3.5) mmol/L; P=0.035] among patients with different genotypes of AGTR1 locus. The patients with different genotypes of CYP2C9 locus had significant differences in their alanine transferase (ALT) [AA:16.9 (11.4,30.2) mmol/L; AC:10.4 (9.4, 18.2) mmol/L; P=0.040]. Aftergene-directed individualized therapy, different genotypes of CYP3A5 andAGTR1 affected the heart rate [CYP3A5: AA: (79.3±7.0) beats/min; AG： (69.8±6.8) beats/min; GG： (68.8±7.3) beats/min; P=0.010], systolic blood pressure [AGTR1: AA: (131.3±16.7) mmHg; AC: (140.6±11.8) mmHg; P=0.014] and diastolic blood pressure [CYP3A5: AA: (90.0±8.3) mmHg; AG: (78.7±10.8) mmHg; GG: (74.9±10.7) mmHg; P=0.025; AGTR1: AA: (75.3±10.2) mmHg; AC: (86.3±10.6) mmHg; P=0.001] of patients. Conclusions The related gene loci of antihypertensive drugs are an important basis for guiding the diversification and individualization of clinical medication. Clinicians need to consider the impact of related genes on drug efficacy and adverse reactions when prescribing.