Molecular analysis of vascular smooth muscle cells from patients with giant cell arteritis: Targeting endothelin-1 receptor to control proliferation
Autoimmunity Reviews(2017)
Abstract
Abstract Objective The pathophysiology of giant cell arteritis (GCA) and the mechanisms underlying vascular remodeling, are poorly understood. We aimed to compare vascular smooth muscle cells (VSMCs) from patients with GCA and controls by a proteomic and gene expression profile approach and to identify the signaling pathways involved in proliferation. Methods VSMCs were cultured from temporal artery biopsies (TABs) from patients with biopsy-proven GCA (TAB + -GCA), biopsy-negative GCA (TAB − -GCA), and diagnosis other than GCA (GCA-control). VSMCs from normal human aorta (HAoSMC) were used as controls. 2D-differential in-gel electrophoresis and Affymetrix chips were used to compare proteomes and gene expression profiles of VSMCs. Proliferation was assessed by BrdU incorporation assay. TAB + -GCA and GCA-control TABs underwent immunohistochemistry staining for endothelin-1 (ET-1) and receptors ET A R and ET B R. Results We identified 16, 30 and 2 protein spots differentially expressed between TAB + -GCA and GCA-control VSMCs, TAB + -GCA and TAB − -GCA VSMCs and TAB − -GCA and GCA-control VSMCs, respectively (fold change ≥ 1.5 and p ≤ 0.05). Among the 153 proteins differentially expressed between TAB + -GCA and HAoSMC VSMCs, many were linked with ET-1. Genes differentially expressed between TAB + -GCA and GCA-control VSMCs were involved in proliferation. ET-1 was identified as a link between genes of interest. Proliferation was reduced for TAB + -GCA VSMCs on treatment with the endothelin antagonist macitentan and its active metabolite. Patients showing transmural expression of ET-1 in temporal artery lesions received a significantly higher glucocorticoid daily dose after 6-month follow-up. Conclusion Inhibiting the proliferation with macitentan, combined with glucocorticoids, might be a promising therapeutic approach for patients with GCA.
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Key words
α-SMA,2D-DIGE,ET-1,GCA,HAoSMC,MS,PCA,PDGF,PPIA,TA,TAB,VSMC
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