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A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
Published on: April 1, 2019
Precision management of atorvastatin: Cross-sectional analysis of genetic polymorphisms
Razan Ibrahim1, Mohanad Odeh2, Eyad Mallah1
1Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan.
Insights
This study developed a reliable LC-MS/MS method to measure atorvastatin in plasma. Genetic variants like CYP2D6-4 significantly impact atorvastatin levels, supporting personalized hyperlipidemia treatment.
Area of Science:
- Pharmacology
- Clinical Chemistry
- Genetics
Background:
- Hyperlipidemia is a key risk factor for cardiovascular diseases.
- Genetic variants (e.g., CYP2D6-4) influence atorvastatin metabolism and effectiveness.
- Personalized drug monitoring is crucial for managing hyperlipidemia.
Purpose of the Study:
- Develop and validate an LC-MS/MS method for quantifying atorvastatin in human plasma.
- Investigate the impact of genetic polymorphisms, specifically CYP2D6-4, on atorvastatin plasma concentrations.
- Enhance personalized therapeutic drug monitoring and lipid profile management.
Main Methods:
- Quantification of atorvastatin using Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS).
- Genotyping using Polymerase Chain Reaction (PCR)-based methods.
- Statistical analysis to correlate plasma atorvastatin levels with genetic variants.
Main Results:
- The LC-MS/MS method demonstrated high accuracy, precision, linearity, and stability.
- Higher atorvastatin plasma concentrations were associated with the CYP2D6-4 genetic variant.
- The analytical method was validated for reliable clinical sample measurement.
Conclusions:
- A robust LC-MS/MS method for atorvastatin quantification in plasma was successfully developed and validated.
- The strong link between CYP2D6-4 and atorvastatin levels underscores the importance of pharmacogenetic dosing.
- Integrating pharmacogenetics, particularly in the Jordanian population, can improve atorvastatin therapy safety, efficacy, and individualization.
Background:
Hyperlipidemia is a major risk factor for cardiovascular diseases and is associated with complications such as atherosclerosis and tendon injury. Though atorvastatin reduces cholesterol, genetic variants (CYP2D6-4, SULT1A1, CYP2C192) affect its response. These genetic variations influence atorvastatin metabolism, thereby affecting its therapeutic effectiveness.
Objectives:
To advance personalized therapeutic drug monitoring and improve lipid profile management, this study aims to develop a robust and LC-MS/MS method for quantifying atorvastatin levels in human plasma. Additionally, to investigate the influence of genetic polymorphisms - particularly CYP2D6-4-on plasma concentrations of atorvastatin in patients with hyperlipidemia.
Material And Methods:
Ethical approval for the study was obtained from the appropriate institutional review boards, and written informed consent was obtained from all participants. Atorvastatin was measured using LC-MS/MS. PCR-based methods were used for genotyping. Statistical analyses were performed to evaluate relationships between plasma atorvastatin levels and genetic variants.
Results:
The LC-MS/MS method demonstrated excellent linearity, accuracy, precision, and stability, for the quantification of atorvastatin in human plasma. Higher atorvastatin concentrations were tied to CYP2D6-4. Furthermore, the study validated the analytical method for consistent and reliable measurement of atorvastatin levels in clinical samples.
Conclusions:
This study successfully developed and validated a straightforward and reliable LC-MS/MS method for quantifying atorvastatin levels in human plasma. Significant CYP2D64 - atorvastatin links highlight the value of pharmacogenetic dosing. Integrating pharmacogenetics - especially in the Jordanian population - may enhance the safety, efficacy, and individualization of atorvastatin therapy.
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