-
公开(公告)号:US07141380B2
公开(公告)日:2006-11-28
申请号:US10258689
申请日:2001-04-26
申请人: Michael Volker , Michael Becka , Werner Kroll , Andreas Knorr , Mathias Gehrmann , Guido Hennig , Sylvia Unger , Elmar-Reinhold Burchardt , Michael J. Arthur , Alastair D. Burt , Massimo Pinzani , Detlef Schuppan
发明人: Michael Volker , Michael Becka , Werner Kroll , Andreas Knorr , Mathias Gehrmann , Guido Hennig , Sylvia Unger , Elmar-Reinhold Burchardt , Michael J. Arthur , Alastair D. Burt , Massimo Pinzani , Detlef Schuppan
IPC分类号: G01N33/53
CPC分类号: G01N33/6893 , G01N33/6887 , G01N2333/47 , G01N2333/78 , G01N2333/8146 , G01N2333/96486 , G01N2800/085
摘要: The present invention concerns a method for diagnosing liver fibrosis wherein two or more diagnostic markers are measured and the measurements are correlated by a mathematic algorithm characterized in that the diagnostic markers are selected from the group N-terminal procollagen III propeptide (PIIINP), Collagen IV, Collagen VI, Tenascin, Laminin, Hyaluronan, MMP-2, TIMP-1 and MMP-9/TIMP-1 complex. The algorithm can be used to predict the histological score of a liver biopsy.
摘要翻译: 本发明涉及一种用于诊断肝纤维化的方法,其中测量两个或更多个诊断标记物,并且通过数学算法将测量值相关联,其特征在于诊断标记物选自N-末端原胶原III前肽(PIIINP),胶原蛋白IV ,胶原VI,腱生蛋白,层粘连蛋白,透明质酸,MMP-2,TIMP-1和MMP-9 / TIMP-1复合物。 该算法可用于预测肝活组织检查的组织学分数。