Measuring Brown Fat Using MRI and Implications in the Metabolic Syndrome
Authors:
- 12 October 2020
- journal article
- review article
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 54 (5) , 1377-1392
Abstract
Metabolic syndrome is presently becoming a global health concern. Brown adipose tissue (BAT) has the potential for managing the risk factors of metabolic syndrome by adjusting plasma lipids and glucose. Magnetic resonance imaging (MRI) is a noninvasive and radiation‐free imaging modality for BAT research and clinical applications in both animals and humans. In the past decade, MRI technologies for detecting and characterizing BAT have developed rapidly, with progress in MRI sequencing and the emerging understanding of BAT. In this review, we focus on the main MRI methods for BAT including currently used imaging techniques and new methods and their implications for the symptoms and complications of metabolic syndrome.Level of Evidence: 5Technical Efficacy Stage: 2Keywords
Funding Information
- National Natural Science Foundation of China (61821002, 81525014, 81830053)
This publication has 90 references indexed in Scilit:
- In vivo imaging of glucose uptake and metabolism in tumorsNature Medicine, 2013
- Variations in T2* and fat content of murine brown and white adipose tissues by chemical-shift MRIMagnetic Resonance Imaging, 2012
- Unequivocal identification of brown adipose tissue in a human infantJournal of Magnetic Resonance Imaging, 2011
- In vivo brown adipose tissue detection and characterization using water–lipid intermolecular zero‐quantum coherencesMagnetic Resonance in Medicine, 2010
- Asian Americans have greater prevalence of metabolic syndrome despite lower body mass indexInternational Journal of Obesity, 2010
- Identification of brown adipose tissue in mice with fat–water IDEAL‐MRIJournal of Magnetic Resonance Imaging, 2010
- Identification and Importance of Brown Adipose Tissue in Adult HumansNew England Journal of Medicine, 2009
- PRDM16 controls a brown fat/skeletal muscle switchNature, 2008
- Relaxation effects in the quantification of fat using gradient echo imagingMagnetic Resonance Imaging, 2008
- Transcriptional Control of Brown Fat Determination by PRDM16Cell Metabolism, 2007