Estimating the cold-induced brown adipose tissue glucose uptake rate measured by 18F-FDG PET using infrared thermography and water-fat separated MRI.
Jonathan AnderssonElin LundströmMathias EngströmMark LubberinkHåkan AhlströmJoel KullbergPublished in: Scientific reports (2019)
Brown adipose tissue (BAT) expends chemical energy to produce heat, which makes it a potential therapeutic target for combating metabolic dysfunction and overweight/obesity by increasing its metabolic activity. The most well-established method for measuring BAT metabolic activity is glucose uptake rate (GUR) measured using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET). However, this is expensive and exposes the subjects to potentially harmful radiation. Cheaper and safer methods are warranted for large-scale or longitudinal studies. Potential alternatives include infrared thermography (IRT) and magnetic resonance imaging (MRI). The aim of this study was to evaluate and further develop these techniques. Twelve healthy adult subjects were studied. The BAT GUR was measured using 18F-FDG PET during individualized cooling. The temperatures of the supraclavicular fossae and a control region were measured using IRT during a simple cooling protocol. The fat fraction and effective transverse relaxation rate of BAT were measured using MRI without any cooling intervention. Simple and multiple linear regressions were employed to evaluate how well the MRI and IRT measurements could estimate the GUR. Results showed that both IRT and MRI measurements correlated with the GUR. This suggest that these measurements may be suitable for estimating the cold-induced BAT GUR in future studies.
Keyphrases
- positron emission tomography
- computed tomography
- magnetic resonance imaging
- contrast enhanced
- adipose tissue
- pet ct
- pet imaging
- diffusion weighted imaging
- insulin resistance
- randomized controlled trial
- type diabetes
- magnetic resonance
- metabolic syndrome
- high fat diet
- weight gain
- weight loss
- single molecule
- risk assessment
- human health
- climate change
- drug induced
- radiation induced