Literature DB >> 24664458

The metalloproteinase ADAM17 and the epidermal growth factor receptor (EGFR) signaling drive the inflammatory epithelial response in Sjögren's syndrome.

Margherita Sisto1, Sabrina Lisi, Massimo D'Amore, Dario Domenico Lofrumento.   

Abstract

Primary Sjögren's syndrome (pSS) is a chronic autoimmune disorder that particularly compromises the function of exocrine glands. The pathogenetic mechanisms of this autoimmune exocrinopathy have not been fully elucidated. Since increasing evidence actually suggests that the epidermal growth factor receptor (EGFR) pathway has a major impact on the inflammatory/immune reactions of the epithelial cells, in the apparent effort of enhancing innate immune defense while opposing overactivation of pro-inflammatory functions, the focus of the work presented here is clarify whether the EGFR-extracellular-signal-regulated kinase (ERK) pathway plays a role in the pro-inflammatory responses mounted by pSS salivary gland epithelial cells (SGEC). Investigations revealed that the EGFR-mediated activation of the downstream effectors ERK1/2 in pSS SGEC appeared to require ADAM17-dependent release of the endogenous EGFR ligand amphiregulin and transactivation of the EGFR. Moreover, blockade of amphiregulin bioactivity using a neutralizing Ab significantly reduced EGFR transactivation and ERK1/2 phosphorylation. In addition, pSS SGEC treated with the specific ADAM17 inhibitor TAPI-1 and with the EGFR inhibitor AG1478 exhibited deactivated AREG/EGFR/ERK signaling pathway and reduced pro-inflammatory cytokines released.

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Year:  2014        PMID: 24664458     DOI: 10.1007/s10238-014-0279-4

Source DB:  PubMed          Journal:  Clin Exp Med        ISSN: 1591-8890            Impact factor:   3.984


  43 in total

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Journal:  Cell       Date:  2000-10-13       Impact factor: 41.582

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Review 4.  The role of epithelial cells in the pathogenesis of Sjögren's syndrome.

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Review 6.  T Cells Subsets in the Immunopathology and Treatment of Sjogren's Syndrome.

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7.  A Computational Text Mining-Guided Meta-Analysis Approach to Identify Potential Xerostomia Drug Targets.

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