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Exploring Adipose Tissue Structure by Methylsalicylate Clearing and 3D Imaging
Published on: August 19, 2020
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Exploring Adipose Tissue Structure by Methylsalicylate Clearing and 3D Imaging
Jérôme Gilleron1, Cindy Meziat2, André Sulen3
1Université Côte d'Azur, Inserm UMR1065, C3M, Team "Cellular and Molecular Pathophysiology of Obesity", Nice, France; jerome.gilleron@unice.fr.
Journal of Visualized Experiments : Jove
|September 7, 2020
Summary
Obesity causes health problems by expanding adipose tissue (AT). This study presents a simple 3D imaging method to visualize AT structure and cellular distribution, aiding obesity research.
Area of Science:
- Biomedical Sciences
- Cell Biology
- Physiology
Background:
- Obesity is a global health crisis linked to cardiovascular, diabetes, and liver diseases.
- Adipose tissue (AT) expansion is crucial for energy homeostasis; its failure contributes to obesity-related pathologies.
- Understanding AT structural remodeling is key to addressing obesity's clinical implications.
Purpose of the Study:
- To present a straightforward and rapid method for 3D imaging of white adipose tissue (AT) morphology.
- To enable detailed visualization of AT structure and cellular components using fluorescent imaging.
Main Methods:
- A simple, fast, and optimized AT clearing technique for 3D fluorescent imaging.
- The method is readily performable in standard laboratories with basic equipment.
- Utilizes readily available chemical compounds for tissue clearing and staining.
Main Results:
- The method allows for high-resolution 3D visualization of white adipose tissue structure.
- Specific markers can visualize adipocytes, neuronal and vascular networks, and immune cell distribution within AT.
- Successfully applied to both mouse and human white adipose tissue samples.
Conclusions:
- This optimized clearing method provides a valuable tool for studying AT morphology in 3D.
- Facilitates research into the structural basis of AT expansion failure in obesity.
- Aims to enhance understanding of obesity-associated pathologies through detailed AT structural analysis.

