Bo Zhou, Chuanshen Shi, Qike Xu, Yujia Wei, ShuFang Zhang, Xia Wang, Xiangyang An
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引用次数: 0
Abstract
Purpose: To evaluate the effect of ABCB1 C3435T gene polymorphism with hyperglycemia on the risk of major adverse cardiovascular events (MACE) in patients treated with clopidogrel after percutaneous coronary intervention (PCI).
Patients and methods: A total of 117 patients were studied, of which 52 developed MACE. We used fluorescence in situ hybridization to detect the genotype of the CYP2C19 and ABCB1 C3435T loci. Baseline characteristics, fasting blood glucose, and clinical outcomes were collected. Logistic regression was used to analyze factors influencing MACE in PCI patients treated with clopidogrel.
Results: There were significant differences between normal and MACE groups in gender, age, history of diabetes mellitus, history of alcohol consumption, fasting blood glucose, ABCB1 (CC) with normoglycemia, and ABCB1 (CT/TT) combined with hyperglycemia (P < 0.05). ABCB1 C3435T genotype (P= 0.024, OR = 5.584, 95% CI 1.258-24.780), age (P= 0.014, OR = 1.073, 95% CI 1.014-1.135), History of hypertension (P= 0.020, OR = 3.144, 95% CI 1.200-8.238) and History of diabetes mellitus (P= 0.030, OR = 3.731, 95% CI 1.135-12.270) were independent MACE risk factors. In patients <75 years, history of hypertension (P= 0.021, OR = 3.151, 95% CI 1.189-8.350) was a risk factor, while the ABCB1 (CC) with normoglycaemia (P= 0.023, OR = 0.147, 95% CI 0.028-0.767) was a protective factor.
Conclusion: The ABCB1 C3435T genotype is an independent risk factor for MACE after PCI with clopidogrel therapy. ABCB1 CC combined normoglycemia may protect against MACE in patients <75 years.
期刊介绍:
Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability.
In particular, emphasis will be given to:
Genomic and proteomic profiling
Genetics and drug metabolism
Targeted drug identification and discovery
Optimizing drug selection & dosage based on patient''s genetic profile
Drug related morbidity & mortality intervention
Advanced disease screening and targeted therapeutic intervention
Genetic based vaccine development
Patient satisfaction and preference
Health economic evaluations
Practical and organizational issues in the development and implementation of personalized medicine programs.