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A simple and robust UPLC-SRM/MS method to quantify urinary eicosanoids.

Katharina Sterz1, Gerhard Scherer1, Josef Ecker1

  • 1ABF Analytisch-Biologisches Forschungslabor GmbH, 80336 Munich, Germany.

Journal of Lipid Research
|February 17, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new ultra-performance liquid chromatography-selected reaction monitoring mass spectrometry method for quantifying urinary eicosanoids. The developed technique offers a robust and sensitive approach for biomarker profiling in clinical studies.

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Clinical Diagnostics

Background:

  • Eicosanoids are crucial mediators of inflammation and oxidative stress, serving as biomarkers for diseases like cancer and cardiovascular conditions.
  • Accurate quantification of diverse, unstable eicosanoid species is analytically challenging due to their varied chemical properties.

Purpose of the Study:

  • To develop a novel, simultaneous ultra-performance liquid chromatography-selected reaction monitoring mass spectrometry (UPLC-SRM/MS) method for quantifying key urinary eicosanoids.
  • To establish a robust, sensitive, and efficient analytical approach for eicosanoid biomarker profiling.

Main Methods:

  • A simple liquid/liquid extraction was employed, replacing complex solid-phase extraction.
  • Ultra-performance liquid chromatography with a short reversed-phase column enabled rapid separation.
  • Selected reaction monitoring mass spectrometry (SRM/MS) was used without a derivatization step.

Main Results:

  • The UPLC-SRM/MS method successfully quantified prostaglandins, thromboxanes, leukotriene E4, and 12-hydroxyeicosatetraenoic acid in human urine.
  • The method demonstrated excellent precision, accuracy, detection limits, and robustness.
  • Shortened run times were achieved compared to conventional HPLC methods.

Conclusions:

  • The developed UPLC-SRM/MS method provides a robust and sensitive tool for profiling urinary eicosanoid species.
  • This technique is valuable for biomarker discovery and analysis in clinical and toxicological research.