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Principles and practice of lipidomics.

Frédéric M Vaz1, Mia Pras-Raves, Albert H Bootsma

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Advancements in mass spectrometry have boosted lipidomics, a key tool in systems biology for understanding lipid metabolism and disease. This review introduces mass spectrometry-based lipidomics methods and data analysis.

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Area of Science:

  • Biochemistry
  • Systems Biology
  • Analytical Chemistry

Background:

  • Lipidomics has advanced significantly due to technical improvements in mass spectrometry, including higher resolution and accuracy, and softer ionization techniques.
  • Lipids are crucial components of the metabolome, playing diverse roles in cellular functions, making lipidomics essential for systems biology approaches.
  • An increasing number of diseases are linked to lipid metabolism, highlighting the importance of lipidomics in biomarker discovery, disease mechanism elucidation, and therapeutic monitoring.

Purpose of the Study:

  • To provide an introductory overview of mass spectrometry-based lipidomics.
  • To outline major methodological strategies in current lipidomics research.
  • To cover essential data pre-processing and analysis techniques in lipidomics.

Main Methods:

  • Mass spectrometry (MS) with (ultra)-high-resolution/high-accuracy measurements.
  • Soft ionization techniques (e.g., ESI, MALDI).
  • Data pre-processing and analysis pipelines for lipidomics.

Main Results:

  • Technical advances have significantly enhanced the application and success of lipidomics.
  • Lipidomics, integrated with other omics, is vital for systems biology and understanding lipid metabolism.
  • Lipidomics aids in identifying disease biomarkers and evaluating therapeutic efficacy.

Conclusions:

  • Mass spectrometry-based lipidomics is a powerful tool for biological and medical research.
  • Methodological standardization and advanced data analysis are crucial for robust lipidomics studies.
  • Lipidomics holds great promise for advancing our understanding of lipid metabolism in health and disease.