Tropical Journal of Pharmaceutical Research

Original Research Article | OPEN ACCESS

Implications of statin metabolism-related gene testing in guiding individualized drug use in cardiovascular diseases

Yiliang Zhang¹, Xiaofan You¹, Yuyan Ren², Jinpeng Cui¹

¹Department of Clinical Laboratory, Yantai City Yantaishan Hospital, No. 10087, Keji Avenue, Laishan District, Yantai City, Shandong Province, China; ²Outpatient Department, Yantai City Yantaishan Hospital, No. 10087, Keji Avenue, Laishan District, Yantai City, Shandong Province, China.

For correspondence:- Jinpeng Cui Email: pajingtong2572@126.com

Accepted: 31 January 2023 Published: 28 February 2023

Citation: Zhang Y, You X, Ren Y, Cui J. Implications of statin metabolism-related gene testing in guiding individualized drug use in cardiovascular diseases. Trop J Pharm Res 2023; 22(2):447-452 doi: 10.4314/tjpr.v22i2.30

© 2023 The authors.
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Abstract

Purpose: To determine the value of statin metabolism-related gene testing in guiding individualized drug use in cardiovascular and cerebrovascular diseases.

Methodology: A total of 158 eligible patients with cardiovascular and cerebrovascular diseases in the Outpatient Department, Yantai City Yantaishan Hospital, Laishan District, Shandong Province were recruited and assigned based on their diseases to group A (81 patients with coronary heart disease), group B (77 patients with cerebral infarction). The control group comprised 75 healthy individuals.

Results: The GG, GT, and TT genotypes in ABCB1 (2677G > T) in group A had a G allele frequency of 0.556 and a T allele frequency of 0.444, while CC, CT, and TT genotypes in ABCB1 (3435C > T) in group A had a C allele frequency of 0.555 and a T allele frequency of 0.445. Significant differences were observed in the effectiveness of statins in treating patients with different genotypes (p < 0.05).

Conclusion: Genetic testing related to statin metabolism is of significant value in guiding the use of medication in patients with cardiovascular disease, as most of these patients present with dyslipidaemia. Significant individual differences in gene polymorphisms exist between patients with the same disease.

Keywords: Statins, Metabolism-related gene testing, Cardiovascular diseases, Individualized medication guidance, Value analysis