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High-Throughput Targeted Lipidomics Analysis of Dihydroceramide Desaturase-1 (DES1) Knockout Mice

Applications | 2019 | SCIEXInstrumentation
LC/MS, LC/MS/MS, LC/QTRAP
Industries
Lipidomics
Manufacturer
SCIEX

Summary

Importance of the topic


A targeted lipidomics workflow combining liquid chromatography with triple quadrupole mass spectrometry enables precise quantification of diverse lipid species. Such methods are critical for dissecting lipid metabolism in health and disease, supporting biomarker discovery, and offering robust tools for QA QC in pharmaceutical and nutraceutical research. The ability to resolve isobaric interferences and detect low abundance lipids underpins reliable lipid profiling at the molecular species level.

Study objectives and overview


This study aimed to develop and validate a high throughput targeted lipidomics strategy on the QTRAP 6500+ system. The method was designed to quantify over 1150 lipid molecular species spanning major classes, with an emphasis on resolving ceramide and dihydroceramide species. Validation was performed using a dihydroceramide desaturase 1 DES1 knockout mouse model, assessing lipid alterations in liver and epididymal white adipose tissue.

Methodology and instrumentation


Sample Preparation:
  • Homogenization of liver and adipose tissues in cold methanol followed by Bligh Dyer extraction
  • Spiking of Avanti SPLASH internal standards and dilution in ethanol prior to analysis
  • Quantitation bias minimized by use of Lipidyzer platform standards and SPLASH for classes without dedicated standards

Chromatography and Mass Spectrometry:
  • Amide column separation on an ExionLC system with a 24 min gradient at 35 °C
  • QTRAP 6500+ mass spectrometer with IonDrive Turbo V source operating in low mass mode
  • Scheduled multiple reaction monitoring algorithm enabling simultaneous analysis of over 1150 lipids
  • Rapid polarity swapping under 5 ms and short dwell times of 2–5 ms for wide dynamic range

Data Processing:
  • MultiQuant 3.0.2 for peak integration and quantitation
  • sMRM Pro Builder for automated scheduled MRM method generation


Main findings and discussion


  • Quantified 1150 lipid species across liver and adipose tissue, with similar class distributions except elevated triacylglycerols in adipose
  • DES1 knockout resulted in significantly increased dihydroceramides and decreased ceramides and hexosylceramides in both tissues
  • Retention of 17 lipid classes without significant changes confirmed method specificity for CER and DCER alterations
  • Low abundance sphingolipids were reliably detected and quantified, demonstrating high method sensitivity


Benefits and practical applications


The developed workflow offers:
  • Broad lipid coverage at the molecular species level for comprehensive phenotyping
  • High throughput with a 24 min runtime and scheduled MRMs for efficient sample analysis
  • Robust quantitation of low abundance lipids, supporting biomarker discovery and mechanistic studies
  • Customizable target lists to incorporate new lipid classes and species as research evolves


Future trends and opportunities


Emerging directions include:
  • Integration with other omics platforms for multi layered biological insights
  • Advanced chromatographic materials and gradients to improve class separation
  • Enhanced algorithms and machine learning for automated peak annotation and quantitation
  • Miniaturized and high throughput workflows for clinical lipidomics applications


Conclusion


The targeted LC MRM workflow on the QTRAP 6500+ provides a sensitive, specific, and high throughput approach for global lipid profiling. Validation in a DES1 knockout mouse model confirmed its capability to detect expected sphingolipid alterations, highlighting its utility for lipid metabolism research and quality control.

Used instrumentation


  • ExionLC system with binary high pressure pump, autosampler, and column oven
  • Amide chromatography column operated at 35 °C
  • QTRAP 6500+ mass spectrometer with IonDrive Turbo V source and scheduled MRM algorithm


Reference


  1. Achieve Broad Lipid Quantitation using a High Throughput Targeted Lipidomics Method SCIEX Technical note RUO MKT 02 8482 A
  2. Bligh EG Dyer WJ A rapid method of total lipid extraction and purification Can J Biochem Physiol 1959 37 8 911 917
  3. Chaurasia B et al Targeting a ceramide double bond improves insulin resistance and hepatic steatosis Science 2019 365 6451 386 392

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