Abstract
Association of blood pool (BP) and adipose tissue activity from F-18 fluorodeoxyglucose positron-emission tomography/computed tomography (FDG PET/CT) with the parameters of metabolic syndrome (MetS) and different MetS/obesity types were investigated. 245 subjects underwent FDG PET/CT scan for health check-ups were investigated retrospectively. Associations of BP (BP SUV: SUVmax, SUVmean), visceral (VAT SUV), and subcutaneous adipose tissue (SAT SUV) activity with parameters of MetS, body mass index (BMI), and lipid profiles were analyzed. MetS/obesity types were subdivided into metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO). BP SUV was higher in subjects with MetS (t-test, P < 0.005), and was associated with MetS from multivariable binary logistic regression (OR 5.232 P = 0.010). BP SUV was statistically higher in MUO than in MHO (P < 0.05) along with blood pressure, triglycerides, and HDL-cholesterol. Multivariable binary logistic regression analysis showed MUO had higher blood pressure and BP SUV, while lower HDL-cholesterol relative to MHO after adjusting for triglycerides.
Highlights
Metabolic syndrome (MetS) is one of the most serious health conditions worldwide, which is associated with increased cardiocerebrovascular disease and all-cause mortality[1]
We investigated the metabolic activity of adipose tissue and blood pool using FDG positron emission tomography/computed tomography (PET/CT) with parameters related to metabolic syndrome and obesity status to evaluate the possible imaging biomarkers for MetS
Adipose tissue metabolic activities were correlated with blood pool activity; no adipose tissue metabolic activity was significantly different among different metabolic and obesity groups
Summary
Metabolic syndrome (MetS) is one of the most serious health conditions worldwide, which is associated with increased cardiocerebrovascular disease and all-cause mortality[1]. Due to the ability to represent the physiologic metabolic state of the entire body in vivo, there have been several attempts to use FDG PET/CT for non-tumor imaging biomarkers. The metabolic activity of organs, such as blood pool, liver, and spleen, has been investigated with several other diseases related to systemic inflammation or metabolic state[14,15]. Instead of being a reference organ, the blood pool activity itself could be the possible parameter reflecting the metabolic status. We investigated the metabolic activity of adipose tissue and blood pool using FDG PET/CT with parameters related to metabolic syndrome and obesity status to evaluate the possible imaging biomarkers for MetS
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