Melanie Reijrink1, Stefanie A de Boer2, Daan S Spoor3, Joop D Lefrandt2, Hiddo J Lambers Heerspink4, Ronald Boellaard5, Marcel Jw Greuter6, Ronald J H Borra7, Jan-Luuk Hillebrands8, Riemer H J A Slart9, Douwe J Mulder2. 1. University of Groningen, University Medical Center Groningen, Department of Vascular Medicine, Groningen, the Netherlands. Electronic address: m.reijrink@umcg.nl. 2. University of Groningen, University Medical Center Groningen, Department of Vascular Medicine, Groningen, the Netherlands. 3. University of Groningen, University Medical Center Groningen, Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, Groningen, the Netherlands. 4. University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, the Netherlands. 5. University of Groningen, University Medical Center Groningen, Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, Groningen, the Netherlands; VU University Medical Centre, Amsterdam, Department of Radiology and Nuclear Medicine, the Netherlands. 6. University of Twente, TechMed Centre, Department of Robotics and Mechatronics, Enschede, the Netherlands; University of Groningen, University Medical Center Groningen, Medical Imaging Center, Department of Radiology, Groningen, the Netherlands. 7. University of Groningen, University Medical Center Groningen, Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Medical Imaging Center, Department of Radiology, Groningen, the Netherlands; University of Turku, Turku University Hospital, Medical Imaging Centre of Southwest Finland, Department of Diagnostic Radiology, Turku, Finland. 8. University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, division of Pathology, Groningen, the Netherlands. 9. University of Groningen, University Medical Center Groningen, Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, Groningen, the Netherlands; University of Twente, TechMed Centre, Department of Biomedical Photonic Imaging, Enschede, the Netherlands.
Abstract
BACKGROUND AND AIMS: Type 2 diabetes mellitus (T2DM) is commonly associated with abdominal obesity, predominantly with high visceral adipose tissue (VAT), and is accompanied by premature atherosclerosis. However, the association between VAT and subcutaneous adipose tissue (SAT) with premature atherosclerosis and (i.e. arterial) inflammation is not completely understood. To provide more insight into this association, we investigated the association between arterial 18F-fluordeoxyglucose (FDG) positron emission tomography (PET) uptake, as a measure of arterial inflammation, and metabolic syndrome (MetS) markers in early T2DM patients. METHODS: Forty-four patients with early T2DM, without glucose lowering medication, were studied (median age 63 [IQR 54-66] years, median BMI 30.4 [IQR 27.5-35.8]). Arterial inflammation was quantified using glucose corrected maximum standardized uptake value (SUVmax) FDG of the aorta, carotid, iliac, and femoral arteries, and corrected for background activity (blood pool) as target-to-background ratio (meanTBR). VAT and SAT volumes (cm3) were automatically segmented using computed tomography (CT) between levels L1-L5. Non-alcoholic fatty liver disease (NAFLD) was assessed by liver function test and CT. RESULTS: VAT volume, but not SAT volume, correlated with meanTBR (r = 0.325, p = 0.031). Linear regression models showed a significant association, even after sequential adjustment for potentially influencing MetS components. Interaction term VAT volume * sex and additional components including HbA1c, insulin resistance, NAFLD, adiponectin, leptin, and C- reactive protein (CRP) did not change the independent association between VAT volume and meanTBR. CONCLUSIONS: CT-assessed VAT volume is positively associated with FDG-PET assessed arterial inflammation, independently of factors thought to potentially mediate these effects. These findings suggest that VAT in contrast to SAT is linked to early atherosclerotic changes in T2DM patients.
BACKGROUND AND AIMS: Type 2 diabetes mellitus (T2DM) is commonly associated with abdominal obesity, predominantly with high visceral adipose tissue (VAT), and is accompanied by premature atherosclerosis. However, the association between VAT and subcutaneous adipose tissue (SAT) with premature atherosclerosis and (i.e. arterial) inflammation is not completely understood. To provide more insight into this association, we investigated the association between arterial 18F-fluordeoxyglucose (FDG) positron emission tomography (PET) uptake, as a measure of arterial inflammation, and metabolic syndrome (MetS) markers in early T2DMpatients. METHODS: Forty-four patients with early T2DM, without glucose lowering medication, were studied (median age 63 [IQR 54-66] years, median BMI 30.4 [IQR 27.5-35.8]). Arterial inflammation was quantified using glucose corrected maximum standardized uptake value (SUVmax) FDG of the aorta, carotid, iliac, and femoral arteries, and corrected for background activity (blood pool) as target-to-background ratio (meanTBR). VAT and SAT volumes (cm3) were automatically segmented using computed tomography (CT) between levels L1-L5. Non-alcoholic fatty liver disease (NAFLD) was assessed by liver function test and CT. RESULTS: VAT volume, but not SAT volume, correlated with meanTBR (r = 0.325, p = 0.031). Linear regression models showed a significant association, even after sequential adjustment for potentially influencing MetS components. Interaction term VAT volume * sex and additional components including HbA1c, insulin resistance, NAFLD, adiponectin, leptin, and C- reactive protein (CRP) did not change the independent association between VAT volume and meanTBR. CONCLUSIONS: CT-assessed VAT volume is positively associated with FDG-PET assessed arterial inflammation, independently of factors thought to potentially mediate these effects. These findings suggest that VAT in contrast to SAT is linked to early atherosclerotic changes in T2DMpatients.
Authors: Robin F Gohmann; Batuhan Temiz; Patrick Seitz; Sebastian Gottschling; Christian Lücke; Christian Krieghoff; Christian Blume; Matthias Horn; Matthias Gutberlet Journal: Quant Imaging Med Surg Date: 2021-10