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.

Bioanalysis
|February 10, 2016
PubMed
Abstract

Insights

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.