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Optimization of a MALDI-Imaging protocol for studying adipose tissue-associated disorders.
A Fernández-Vega1, E Chicano-Gálvez2, B M Prentice3
1Dept. Cell Biology, Physiology, and Immunology, IMIBIC/University of Cordoba (UCO)/Reina Sofia University Hospital (HURS), Cordoba, Spain; CIBER Physiopathology of Obesity and Nutrition (CIBERobn), ISCIII, Spain.
Talanta
|September 5, 2020
Summary
This study optimized Matrix-Assisted Laser Desorption Ionization Imaging Mass Spectrometry (MALDI-IMS) for adipose tissue, revealing significant lipid changes in obesity. The new method identifies novel biomarkers for obesity and metabolic disease.
Area of Science:
- Biomedical Science
- Analytical Chemistry
- Metabolomics
Background:
- Adipose tissue is crucial in obesity-associated disorders.
- Lipid analysis in adipose tissue using MALDI-IMS is underdeveloped.
- Conventional MALDI-IMS methods cause lipid delocalization in adipose tissue.
Purpose of the Study:
- To develop an optimized MALDI-IMS method for analyzing adipose tissue lipid composition.
- To investigate lipid profiles in obese versus lean rats.
- To identify novel lipid biomarkers for obesity and metabolic disease.
Main Methods:
- Optimized MALDI-IMS using conductive-tape sampling and 2,5-dihydroxybenzoic acid (DHB) matrix.
- Analysis of adipose tissue from lean and obese rats.
- Combined MALDI-IMS with liquid chromatography-tandem mass spectrometry (LC-MS/MS).
Main Results:
- The optimized method minimized lipid diffusion and preserved anatomical organization.
- Identified 625 down-regulated and 328 up-regulated m/z values in obese rats.
- 44 differentially expressed lipid species, including phospholipids and sphingomyelins, were identified.
Conclusions:
- The developed MALDI-IMS method is effective for adipose tissue lipid analysis.
- This technique enables the identification of novel lipid biomarkers for obesity.
- The findings pave the way for new research into obesity and metabolic diseases.
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