1. The RGS2 (-391, C>G) genetic variation correlates to antihypertensive drug responses in Chinese patients with essential hypertension.
- Author
-
He F, Luo J, Zhang Z, Luo Z, Fan L, He Y, Wen J, Zhu D, Gao J, Wang Y, Qian Y, Zhou H, Chen X, and Zhang W
- Subjects
- Adult, Aged, Aged, 80 and over, Asian People, China, Essential Hypertension, Female, Humans, Male, Middle Aged, Antihypertensive Agents administration & dosage, Hypertension drug therapy, Hypertension genetics, Models, Biological, Polymorphism, Restriction Fragment Length, RGS Proteins genetics
- Abstract
Objective: Regulators of G-protein signaling protein 2 (RGS2) play an irreplaceable role in the control of normal blood pressure (BP). One RGS2 (-391, C>G) genetic variation markedly changes its mRNA expression levels. This study explored the relationship between this genetic variation and the responses to antihypertensive drugs in Chinese patients with essential hypertension., Methods: Genetic variations of RGS2 were successfully identified in 367 specimens using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assays. All patients were treated with conventional doses of antihypertensives after a 2-week run-in period and followed-up according to our protocol. A general linear model multivariate analysis of variance (ANOVA) was used for the data analysis., Results: A significant difference in the mean systolic BP change was observed between RGS2 (-391, C>G) CC/CG (n = 82) and GG (n = 38) genotype carriers (-13.6 vs. -19.9 mmHg, P = 0.043) who were treated with candesartan, irbesartan or imidapril at the end of 6 weeks. In addition, the patients' BP responses to α,β-adrenergic receptor blockers exhibited an age-specific association with the RGS2 (-391, C>G) genetic variation at the end of 4 weeks., Conclusion: The RGS2 (-391, C>G) genetic polymorphism may serve as a biomarker to predict a patient's response to antihypertensive drug therapy, but future studies need to confirm this.
- Published
- 2015
- Full Text
- View/download PDF