Levels of von Willebrand factor antigen and von Willebrand factor cleaving protease (ADAMTS13) activity predict clinical events in chronic heart failure
| Autor: | J. Papassotiriou, Tímea Gombos, Jan Kunde, László Cervenak, Veronika Makó, Zoltán Pozsonyi, Jolan Harsfalvi, Zsolt Förhécz, Zoltán Prohászka, Lívia Jánoskuti, Gábor Borgulya |
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| Rok vydání: | 2009 |
| Předmět: |
Male
Risk medicine.medical_specialty Heart disease Endothelium medicine.drug_class ADAMTS13 Protein Klinikai orvostudományok Models Biological Cohort Studies Von Willebrand factor hemic and lymphatic diseases Internal medicine von Willebrand Factor medicine Natriuretic peptide Humans Endothelial dysfunction Aged Heart Failure Ejection fraction biology business.industry Hematology Orvostudományok Middle Aged medicine.disease ADAMTS13 ADAM Proteins medicine.anatomical_structure Endocrinology Treatment Outcome Heart failure Chronic Disease cardiovascular system biology.protein Female Endothelium Vascular business Biomarkers circulatory and respiratory physiology |
| Zdroj: | Thrombosis and haemostasis. 102(3) |
| ISSN: | 0340-6245 |
| Popis: | SummaryDecreased activity of ADAMTS13, the von Willebrand factor (VWF) cleaving protease, was recently reported in cardiovascular diseases and in hepatic failure. Chronic heart failure (CHF) is characterised by abnormalities of left ventricular function accompanied by the failure of the liver and dysregulation of endothelial activation. Therefore, the aim of our study was to measure ADAMTS13 activity in CHF, and determine the prognostic value of VWF and ADAMTS13 on major clinical events in CHF.ADAMTS13 activity (measured by FRETS-VWF73 substrate) was decreased in CHF (n = 152, left ventricular ejection fraction Decreased activity of ADAMTS13 with concomitant high VWF:Ag levels is a significant independent predictor of clinical events in CHF. The levels of the two molecules may integrate the impaired synthetic capacity of the liver and the disturbed endothelial regulation and can therefore be a useful tool to predict clinical events in CHF. |
| Databáze: | OpenAIRE |
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