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Updated: Jun 4, 2025
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Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging
Published on: July 1, 2021
Detecting white adipose tissue browning in mice with in vivo R2∗ mapping at 9.4T MRI
Qiaoling Zhong1, Hongsheng Liu1, Yanqiu Feng2
1Department of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Researchers developed a new noninvasive imaging method using R2* mapping to assess white adipose tissue (WAT) browning. This approach, based on iron content, shows promise for evaluating metabolic diseases and obesity treatments.
Area of Science:
- Biomedical Imaging
- Metabolic Disease Research
- Adipose Tissue Biology
Background:
- White adipose tissue (WAT) browning is a key strategy for combating obesity and metabolic disorders.
- Current methods like fat-water fraction (FWF) lack sensitivity and specificity for metabolic changes during browning.
- Iron metabolism plays a role in WAT browning, but is not adequately assessed by existing markers.
Purpose of the Study:
- To develop and validate a noninvasive preclinical imaging approach using R2* mapping to assess in vivo WAT browning.
- To investigate the correlation between R2* values, iron content, and UCP1 expression during WAT browning.
- To establish R2* as a potential imaging biomarker for evaluating WAT browning and related metabolic changes.
Main Methods:
- Investigated inguinal WAT (iWAT) browning induced by CL-316,243 (CL) in mice.
- Quantified in vivo R2*, FWF, and ex vivo UCP1 expression and iron content.
- Utilized H&E staining and immunohistochemistry for histological analysis.
Main Results:
- CL administration significantly increased R2* and decreased FWF in iWAT after 7 days.
- Ex vivo analysis revealed increased UCP1 expression and iron content in CL-treated iWAT.
- R2* strongly correlated with UCP1 expression and iron content, while inversely correlating with FWF.
Conclusions:
- R2* mapping offers a sensitive and specific noninvasive imaging biomarker for assessing WAT browning.
- This iron-based imaging approach provides a novel tool for diagnosing and evaluating metabolic diseases.
- R2* mapping could aid in the development and therapeutic evaluation of obesity treatments.
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