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Merging metabolomics and lipidomics into one analytical run
Michaela Schwaiger1, Harald Schoeny1, Yasin El Abiead1
1Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. gunda.koellensperger@univie.ac.at and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstraße 14, 1090 Vienna, Austria.
A new workflow integrates metabolomics and lipidomics for comprehensive analysis of polar metabolites and non-polar lipids in a single run. This method enhances coverage and throughput for biological samples.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Mass Spectrometry
Background:
- Metabolomics and lipidomics are crucial for understanding biological systems.
- Analyzing both polar metabolites and non-polar lipids often requires separate workflows, limiting efficiency.
- A unified approach is needed to improve coverage and throughput.
Purpose of the Study:
- To develop and validate an integrated metabolomics and lipidomics workflow.
- To achieve high coverage of both polar metabolites and non-polar lipids in a single analytical run.
- To enhance analytical throughput without compromising data quality.
Main Methods:
- Combined hydrophilic interaction liquid chromatography (HILIC) and reversed-phase (RP) chromatography.
- Utilized high-resolution mass spectrometry with fast polarity switching.
- Implemented automated sample preparation and data acquisition strategies.
- Consecutive HILIC and RP separations with optimized re-equilibration times.
Main Results:
- Achieved high coverage of hydrophilic sugars, organic acids, and water-insoluble triglycerides.
- Successfully identified >100 metabolites and >380 lipids in human plasma.
- Enabled targeted quantification of 59 metabolites and demonstrated lipid quantification potential.
- Quantified analytes across four orders of magnitude (nM to μM) in human plasma.
Conclusions:
- The integrated workflow provides unprecedented coverage of metabolites and lipids.
- The method significantly improves analytical throughput by reducing run times.
- This approach is valuable for comprehensive biological sample analysis, particularly in human plasma.
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