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Published on: April 23, 2019
Development of MEPS-UHPLC-MS/MS multistatin methods for clinical analysis
Hana Vlčková1, Pavel Svoboda1, Ondřej Novák2
1Department of Analytical Chemistry, Faculty of Pharmacy, Charles University, Heyrovského 1203, 500 05 Hradec Králové, Czech Republic.
A new method efficiently analyzes seven statins and their metabolites in biological samples. This advancement offers a practical approach for studying statins' potential anticancer effects.
Area of Science:
- Pharmacology
- Analytical Chemistry
- Biochemistry
Background:
- Statins, HMG-CoA reductase inhibitors, are primarily used for hypercholesterolemia.
- Emerging research highlights statins' extra-lipid effects, including anticancer activities.
- The increasing incidence of cancer drives interest in statins' therapeutic potential.
Purpose of the Study:
- To develop a universal, sensitive, and practical method for analyzing multiple statins.
- To quantify seven clinically relevant statins and their metabolites in biological samples.
- To compare different mass spectrometry (MS) platforms for statin analysis.
Main Methods:
- Development and validation of a method using microextraction by packed sorbent (MEPS) for sample preparation.
- Utilized ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) for analysis.
- Compared three distinct MS platforms regarding ion sources, optics, collision cell technology, and scan speed.
Main Results:
- Successfully developed and validated a method for determining 17 analytes (seven statins, interconversion products, and metabolites).
- Microextraction by packed sorbent proved effective for extracting all target analytes from biological matrices.
- Significant variations in selectivity and sensitivity were observed across the evaluated MS platforms.
Conclusions:
- The developed MEPS-UHPLC-MS/MS method is suitable for comprehensive statin analysis.
- The method's efficiency supports further research into statins' anticancer properties.
- Method optimization is crucial, as MS platform choice impacts analytical performance.
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