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SILICO-MS: Exploring Structural Lipidomic Alterations Using an Ionization-Coupled Ozonolysis Mass Spectrometry
Jingshen Xu1,2, Xiaoyan Xu3,4, Xiaohan Hou1,2
1Institute of Metabolism and Integrative Biology, Fudan University, Shanghai 200438, China.
Researchers developed a new method combining ozonolysis and mass spectrometry for detailed lipid structure analysis. This technique, with its extensive database, identifies lipid isomers and their double bond positions, advancing our understanding of lipid-related diseases.
Area of Science:
- Lipidomics
- Mass Spectrometry
- Biochemistry
Background:
- Lipid structural features, particularly carbon-carbon double bond positions, influence crucial biochemical and biophysical processes.
- Traditional lipidomic analyses lack detailed structural information, hindering the study of lipid isomers.
- Existing lipid structure characterization methods face limitations due to hardware and software accessibility.
Purpose of the Study:
- To develop an accessible and user-friendly method for detailed lipid structural characterization.
- To create a comprehensive database for identifying lipid isomers and their double bond positions.
- To advance the field of structural lipidomics for better understanding of lipid-related disorders.
Main Methods:
- Development of an ionization-coupled ozonolysis mass spectrometry technique.
- Creation of the SILICO-MS software and an ozonolysis lipidome database with 222,460 C═C double bond lipid isomers.
- Utilized the method to identify a novel stearoyl-coenzyme A desaturase 1 (SCD1)-catalyzed product.
Main Results:
- The SILICO-MS database covers 10 times more lipid isomers with C═C double bond information than previously published databases.
- Successfully identified a previously unreported oleic acid isomer, C18:1(Δ-6), as an SCD1 product.
- Demonstrated the capability of the method for comprehensive structural characterization of lipids.
Conclusions:
- The developed ionization-coupled ozonolysis approach provides a powerful tool for detailed lipid structural analysis.
- This method and its accompanying software/database overcome limitations in current structural lipidomics.
- Comprehensive lipid structural characterization can reveal new mechanisms in diseases associated with lipid isomer alterations.
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