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Quantitative and Qualitative Method for Sphingomyelin by LC-MS Using Two Stable Isotopically Labeled Sphingomyelin Species
Published on: May 7, 2018
Protocol for high-throughput, automated, solid-phase extraction of sphingolipids from human urine.
Rebekah J Nicholson1, J Alan Maschek2, Trevor Lonergan3
1Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, UT, USA; Center for Metabolic Health, University of Utah, Salt Lake City, UT, USA.
This study introduces a rapid, automated method for measuring urinary sphingolipids using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This technique enhances biomarker discovery for kidney diseases by analyzing lipids in urine.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Clinical Diagnostics
Background:
- Urinary sphingolipids show potential as biomarkers for various renal diseases.
- Accurate and efficient quantification methods are needed for clinical application.
- Existing methods may lack the throughput and automation required for large-scale studies.
Purpose of the Study:
- To develop and present a high-throughput, automated protocol for urinary sphingolipid analysis.
- To enable precise quantification of sphingolipids in urine using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
- To establish a foundation for improved biomarker discovery in kidney diseases.
Main Methods:
- Development of an automated solid-phase extraction protocol for urine samples.
- Implementation of targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) for sphingolipid quantification.
- Detailed description of sample preparation, lipid extraction, and LC-MS/MS analysis procedures.
Main Results:
- A robust and automated protocol for the extraction and quantification of urinary sphingolipids was established.
- The method demonstrates high throughput suitable for clinical and research applications.
- The platform allows for simultaneous metabolomic and lipidomic sample preparation.
Conclusions:
- The presented automated LC-MS/MS protocol provides an efficient means to analyze urinary sphingolipids.
- This method can significantly advance the identification and validation of renal disease biomarkers.
- The protocol is adaptable for other biospecimens and analytical workflows.
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