The Lectin-like Domain of Thrombomodulin Confers Protection from Neutrophil-mediated Tissue Damage by Suppressing Adhesion Molecule Expression via Nuclear Factor κB and Mitogen-activated Protein Kinase Pathways

Edward M. Conway(Vlaams Instituut voor Biotechnologie), Marlies Van de Wouwer(Vlaams Instituut voor Biotechnologie), Saskia Pollefeyt(Vlaams Instituut voor Biotechnologie), Kerstin Jurk, Hugo Van Aken, Astrid De Vriese(Vlaams Instituut voor Biotechnologie), Jeffrey I. Weitz(McMaster University), Hartmut Weiler, Peter W. Hellings(Vlaams Instituut voor Biotechnologie), Paul Schaeffer(Sanofi (France)), Jean‐Marc Herbert(Sanofi (France)), D Collen(Vlaams Instituut voor Biotechnologie), Gregor Theilmeier
The Journal of Experimental Medicine
September 2, 2002
Cited by 349Open Access
Full Text

Abstract

Thrombomodulin (TM) is a vascular endothelial cell (EC) receptor that is a cofactor for thrombin-mediated activation of the anticoagulant protein C. The extracellular NH(2)-terminal domain of TM has homology to C-type lectins that are involved in immune regulation. Using transgenic mice that lack this structure (TM(LeD/LeD)), we show that the lectin-like domain of TM interferes with polymorphonuclear leukocyte (PMN) adhesion to ECs by intercellular adhesion molecule 1-dependent and -independent pathways through the suppression of extracellular signal-regulated kinase (ERK)(1/2) activation. TM(LeD/LeD) mice have reduced survival after endotoxin exposure, accumulate more PMNs in their lungs, and develop larger infarcts after myocardial ischemia/reperfusion. The recombinant lectin-like domain of TM suppresses PMN adhesion to ECs, diminishes cytokine-induced increase in nuclear factor kappaB and activation of ERK(1/2), and rescues ECs from serum starvation, findings that may explain why plasma levels of soluble TM are inversely correlated with cardiovascular disease. These data suggest that TM has antiinflammatory properties in addition to its role in coagulation and fibrinolysis.


Related Papers

No related papers found

Powered by citation graph analysis