Type 2 diabetes enhances arterial uptake of choline in atherosclerotic mice: an imaging study with positron emission tomography tracer 18F-fluoromethylcholine View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Sanna Hellberg, Johanna M. U. Silvola, Max Kiugel, Heidi Liljenbäck, Olli Metsälä, Tapio Viljanen, Jari Metso, Matti Jauhiainen, Pekka Saukko, Pirjo Nuutila, Seppo Ylä-Herttuala, Juhani Knuuti, Anne Roivainen, Antti Saraste

ABSTRACT

BACKGROUND: Diabetes is a risk factor for atherosclerosis associated with oxidative stress, inflammation and cell proliferation. The purpose of this study was to evaluate arterial choline uptake and its relationship to atherosclerotic inflammation in diabetic and non-diabetic hypercholesterolemic mice. METHODS: Low-density lipoprotein-receptor deficient mice expressing only apolipoprotein B100, with or without type 2 diabetes caused by pancreatic overexpression of insulin-like growth factor II (IGF-II/LDLR(-/-)ApoB(100/100) and LDLR(-/-)ApoB(100/100)) were studied. Distribution kinetics of choline analogue (18)F-fluoromethylcholine ((18)F-FMCH) was assessed in vivo by positron emission tomography (PET) imaging. Then, aortic uptakes of (18)F-FMCH and glucose analogue (18)F-fluorodeoxyglucose ((18)F-FDG), were assessed ex vivo by gamma counting and autoradiography of tissue sections. The (18)F-FMCH uptake in atherosclerotic plaques was further compared with macrophage infiltration and the plasma levels of cytokines and metabolic markers. RESULTS: The aortas of all hypercholesterolemic mice showed large, macrophage-rich atherosclerotic plaques. The plaque burden and densities of macrophage subtypes were similar in diabetic and non-diabetic animals. The blood clearance of (18)F-FMCH was rapid. Both the absolute (18)F-FMCH uptake in the aorta and the aorta-to-blood uptake ratio were higher in diabetic than in non-diabetic mice. In autoradiography, the highest (18)F-FMCH uptake co-localized with macrophage-rich atherosclerotic plaques. (18)F-FMCH uptake in plaques correlated with levels of total cholesterol, insulin, C-peptide and leptin. In comparison with (18)F-FDG, (18)F-FMCH provided similar or higher plaque-to-background ratios in diabetic mice. CONCLUSIONS: Type 2 diabetes enhances the uptake of choline that reflects inflammation in atherosclerotic plaques in mice. PET tracer (18)F-FMCH is a potential tool to study vascular inflammation associated with diabetes. More... »

PAGES

26

References to SciGraph publications

  • 2014-12. Subclinical vascular inflammation in subjects with normal weight obesity and its association with body Fat: an 18 F-FDG-PET/CT study in CARDIOVASCULAR DIABETOLOGY
  • 2008-04. Feasibility of 18F-fluoromethylcholine PET/CT for imaging of vessel wall alterations in humans—first results in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2009-12. 68Ga-DOTA-RGD peptide: biodistribution and binding into atherosclerotic plaques in mice in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-07. The role of positron emission tomography using carbon-11 and fluorine-18 choline in tumors other than prostate cancer: a systematic review in ANNALS OF NUCLEAR MEDICINE
  • 2004-03. 18F-choline in experimental soft tissue infection assessed with autoradiography and high-resolution PET in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-12. Left ventricular dysfunction with reduced functional cardiac reserve in diabetic and non-diabetic LDL-receptor deficient apolipoprotein B100-only mice in CARDIOVASCULAR DIABETOLOGY
  • 2006-02. Elevated plasma phospholipid transfer protein activity is a determinant of carotid intima-media thickness in type 2 diabetes mellitus in DIABETOLOGIA
  • 2011-07. PET imaging of hepatocellular carcinoma with 18F-fluoroethylcholine and 11C-choline in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 1980-09. Relationship of plasma insulin levels to the incidence of myocardial infarction and coronary heart disease mortality in a middle-aged population in DIABETOLOGIA
  • 2009-10. Evaluation and comparison of 11C-choline uptake and calcification in aortic and common carotid arterial walls with combined PET/CT in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12933-016-0340-6

    DOI

    http://dx.doi.org/10.1186/s12933-016-0340-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1026756928

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26852231


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