INTRODUCTION: The vulnerable atherosclerotic lesion exhibits the proliferation of neovessels and inflammation. The imaging modality 2-deoxy-2-[(18)F]fluoro-D: -glucose positron emission tomography ((18)FDG-PET) is considered for the identification of vulnerable plaques. PURPOSE: The purpose of this study was to compare the gene expression of neoangiogenesis and vulnerability-associated genes with (18)FDG uptake in patients undergoing carotid endarterectomy. PROCEDURES: Human atherosclerotic carotid artery plaques from symptomatic patients were used for gene expression analysis by quantitative PCR of vascular endothelial growth factor (VEGF) and integrin α(V) and integrin β(3) subunits, genes essential during neoangiogenesis. We also evaluated the gene expression of CD34, a measure of microvessel density (MVD), as well as CD68, MMP-9, and cathepsin K, genes of major importance in plaque vulnerability. Gene expression analysis was compared with (18)FDG-PET. RESULTS: VEGF and integrin α(V)β(3) gene expression did not correlate with (18)FDG uptake, whereas CD34 gene expression exhibited an inverse correlation with (18)FDG uptake. Additionally, we established that markers of vulnerability were correlated with (18)FDG uptake. CONCLUSIONS: Neoangiogenesis is not associated with (18)FDG uptake, whereas MVD and markers of vulnerability correlate with (18)FDG uptake. The absence of correlation between markers of neoangiogenesis and (18)FDG uptake suggests a temporal separation between the process of neoangiogenesis and inflammatory activity.
INTRODUCTION: The vulnerable atherosclerotic lesion exhibits the proliferation of neovessels and inflammation. The imaging modality 2-deoxy-2-[(18)F]fluoro-D: -glucose positron emission tomography ((18)FDG-PET) is considered for the identification of vulnerable plaques. PURPOSE: The purpose of this study was to compare the gene expression of neoangiogenesis and vulnerability-associated genes with (18)FDG uptake in patients undergoing carotid endarterectomy. PROCEDURES: Humanatherosclerotic carotid artery plaques from symptomatic patients were used for gene expression analysis by quantitative PCR of vascular endothelial growth factor (VEGF) and integrin α(V) and integrin β(3) subunits, genes essential during neoangiogenesis. We also evaluated the gene expression of CD34, a measure of microvessel density (MVD), as well as CD68, MMP-9, and cathepsin K, genes of major importance in plaque vulnerability. Gene expression analysis was compared with (18)FDG-PET. RESULTS:VEGF and integrin α(V)β(3) gene expression did not correlate with (18)FDG uptake, whereas CD34 gene expression exhibited an inverse correlation with (18)FDG uptake. Additionally, we established that markers of vulnerability were correlated with (18)FDG uptake. CONCLUSIONS: Neoangiogenesis is not associated with (18)FDG uptake, whereas MVD and markers of vulnerability correlate with (18)FDG uptake. The absence of correlation between markers of neoangiogenesis and (18)FDG uptake suggests a temporal separation between the process of neoangiogenesis and inflammatory activity.
Authors: Iina Laitinen; Antti Saraste; Eliane Weidl; Thorsten Poethko; Axel W Weber; Stephan G Nekolla; Pia Leppänen; Seppo Ylä-Herttuala; Gabriele Hölzlwimmer; Axel Walch; Irene Esposito; Hans-Jürgen Wester; Juhani Knuuti; Markus Schwaiger Journal: Circ Cardiovasc Imaging Date: 2009-05-13 Impact factor: 7.792
Authors: M A Ramos; M Kuzuya; T Esaki; S Miura; S Satake; T Asai; S Kanda; T Hayashi; A Iguchi Journal: Arterioscler Thromb Vasc Biol Date: 1998-07 Impact factor: 8.311
Authors: Aryan Vink; Arjan H Schoneveld; Dennis Lamers; Anna J S Houben; Petra van der Groep; Paul J van Diest; Gerard Pasterkamp Journal: Atherosclerosis Date: 2007-07-02 Impact factor: 5.162
Authors: Sune Folke Pedersen; Martin Græbe; Anne Mette F Hag; Liselotte Højgaard; Henrik Sillesen; Andreas Kjær Journal: Am J Nucl Med Mol Imaging Date: 2013-09-19
Authors: Viviany R Taqueti; Marcelo F Di Carli; Michael Jerosch-Herold; Galina K Sukhova; Venkatesh L Murthy; Eduardo J Folco; Raymond Y Kwong; C Keith Ozaki; Michael Belkin; Matthias Nahrendorf; Ralph Weissleder; Peter Libby Journal: Circ Cardiovasc Imaging Date: 2014-08-28 Impact factor: 7.792
Authors: Laerke Urbak; Rasmus S Ripa; Benjamin V Sandholt; Andreas Kjaer; Henrik Sillesen; Martin Graebe Journal: EJNMMI Res Date: 2021-03-23 Impact factor: 3.138
Authors: Claudia Calcagno; Sarayu Ramachandran; David Izquierdo-Garcia; Venkatesh Mani; Antoine Millon; David Rosenbaum; Ahmed Tawakol; Mark Woodward; Jan Bucerius; Erin Moshier; James Godbold; David Kallend; Michael E Farkouh; Valentin Fuster; James H F Rudd; Zahi A Fayad Journal: Eur J Nucl Med Mol Imaging Date: 2013-08-14 Impact factor: 9.236
Authors: Sune F Pedersen; Anne Mette F Hag; Thomas L Klausen; Rasmus S Ripa; Rasmus P Bodholdt; Andreas Kjaer Journal: Clin Physiol Funct Imaging Date: 2013-12-01 Impact factor: 2.273