Related Experiment Video
Updated: Jul 8, 2025
07:57
Assessing Whole-Body Lipid-Handling Capacity in Mice
Published on: November 24, 2020
4.0K
Database-Driven Spatially Resolved Lipidomics Highlights Heterogeneous Metabolic Alterations in Type 2 Diabetic Mice
Xinzhu Li1, Qingce Zang1, Ying Zhu1
1State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China.
Analytical Chemistry
|December 13, 2023
Summary
This study introduces a new database-driven mass spectrometry imaging (MSI) method for comprehensive spatial lipidomics. The approach enhances lipid identification and visualization of metabolic changes in diseases like diabetes.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Metabolomics
Background:
- Spatially resolved lipidomics using mass spectrometry imaging (MSI) is crucial for understanding lipid distribution.
- Comprehensive lipid identification in MSI data remains a significant challenge.
Purpose of the Study:
- To develop a high-coverage, database-driven approach for efficient lipid identification in spatial lipidomics.
- To improve the annotation of lipids in MSI data for disease research.
Main Methods:
- Combined air-flow-assisted desorption electrospray ionization (AFADESI)-MSI with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS).
- Created a detailed MSI database of 14,123 ions based on evaluated ionization properties.
- Utilized the MSIannotator tool for rapid and accurate lipid annotation.
Main Results:
- Identified 2868 unique lipids across whole-body mouse serum and organs.
- Visualized aberrant fatty acid and phospholipid metabolism in a diabetic mouse model.
- Demonstrated enhanced lipid identification and annotation capabilities.
Conclusions:
- The developed database-driven AFADESI-MSI approach significantly improves spatial lipidomics.
- This method facilitates the study of spatially resolved metabolic changes in disease contexts.
- Offers new research avenues for understanding disease-specific lipid alterations.
