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Personalized antihypertensive treatment guided by pharmacogenomics in China. | LitMetric

Personalized antihypertensive treatment guided by pharmacogenomics in China.

Cardiovasc Diagn Ther

Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.

Published: October 2022

Background: The implementation of genotyping for anti-hypertensive drugs in clinical practice remains a challenge. We conducted this study to analyze the distribution of polymorphisms of antihypertensive drug-related genes in Changsha County in China and compare the clinical effectiveness of genotype-guided and clinical experience-guided antihypertensive therapy in hypertensive individuals.

Methods: A total of 9,933 essential hypertensive participants from Changsha County were consecutively enrolled in our study, and 7 genetic polymorphic loci (, , , , , and ) were detected by a polymerase chain reaction (PCR)-fluorescence probe. From an available sample of 660 hypertensive participants, 495 cases were randomly identified by genotype-guided therapy and 165 cases by clinical experience-guided therapy. We performed 24-hour ambulatory blood pressure (BP) monitoring on each of these cases, pre- and post-intervention.

Results: In the enrolled 9,933 cases, the mutation frequencies of , , , *, , and were 4.41%, 74.60%, 5.55%, 57.08%, 30.94%, 69.03% and 1.19%, respectively. In both genotype-guided and clinical experience-guided groups, the comparisons of intra-group pre-and post-treatments showed significant decreases in diastolic blood pressure (DBP) (P<0.01) and significant increases in the control rate of BP (47.1% 38.6% and 37.5% 33.9%, P<0.05) in response to adjusted antihypertensive agents. Correspondingly, the extent of the reduction of systolic blood pressure (SBP; 3.52±11.72 0.92±9.14 mmHg), the extent of the increase in the rate of BP control (8.5% 3.6%) and the percentage rate of decrease of grades 2 and 3 hypertensive individuals were more significant in the genotype-guided group than that in the clinical experience-guided group (P<0.01).

Conclusions: While prescribing anti-hypertensive drugs, appropriate dosage and type adjustments should be made according to the gene mutation frequency and individual circumstances. Pharmacogenomics-guided personalized treatment of hypertensive patients is likely to be a more effective strategy, especially in those with significantly elevated SBP.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622397PMC
http://dx.doi.org/10.21037/cdt-22-154DOI Listing

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