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Lipidomics in Biomarker Research.

Thorsten Hornemann1

  • 1University Zurich and University Hospital Zurich, Zurich, Switzerland. thorsten.hornemann@usz.ch.

Handbook of Experimental Pharmacology
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Summary
This summary is machine-generated.

Lipidomics analysis enables the detection and quantification of numerous lipid species. This review explores lipidomics workflows for identifying metabolic biomarkers in diseases like obesity and diabetes.

Keywords:
BiomarkersData analysisDyslipidemiaLC/MSLipidsMetabolic diseaseMetabolites

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Area of Science:

  • Biochemistry
  • Metabolomics
  • Systems Biology

Background:

  • Lipids are vital molecules in all organisms, crucial for biological functions.
  • Disruptions in lipid metabolism are associated with diseases including obesity, diabetes, and cardiovascular conditions.
  • The vast diversity of lipid species presents significant analytical challenges.

Purpose of the Study:

  • To provide an overview of a standard lipidomics workflow.
  • To highlight the application of lipidomics in discovering metabolic biomarkers.
  • To discuss advancements enabling comprehensive lipid analysis.

Main Methods:

  • Technological advancements in chromatography and high-resolution mass spectrometry.
  • Integration of bioinformatics tools for data analysis.
  • Global lipidomics approaches for simultaneous detection and quantification.

Main Results:

  • Enables the detection, identification, and relative quantification of hundreds of lipid species.
  • Facilitates a deeper understanding of lipid metabolism.
  • Supports the identification of potential metabolic biomarkers.

Conclusions:

  • Lipidomics is a powerful tool for studying complex biological systems.
  • Advancements in technology have made global lipidomics feasible.
  • Lipidomics holds significant promise for metabolic biomarker research in various diseases.