Hepatitis C(HCV)-infected patients have a poorer survival post-liver transplantation compared to patients transplanted for other indications,since HCV recurrence post-transplant is universal and commonly follows an ag...Hepatitis C(HCV)-infected patients have a poorer survival post-liver transplantation compared to patients transplanted for other indications,since HCV recurrence post-transplant is universal and commonly follows an aggressive course.There is increasing evidence that in the non-transplant setting,induction of hepatocyte apoptosis is one of the main mechanisms by which HCV drives liver inflammation and fibrosis,and that HCV proteins directly promote apoptosis.Recent studies have shown that post-liver transplant,there is a link between high levels of HCV replication,enhanced hepatocyte apoptosis and the subsequent development of rapidly progressive liver fibrosis.Although the responsible mechanisms remain unclear,it is likely that immunosuppressive drugs play an important role.It is well known that immunosuppressants impair immune control of HCV,thereby allowing increased viral replication.However there is also evidence that immunosuppressants may directly induce apoptosis and this may be facilitated by the presence of high levels of HCV replication.Thus HCV and immunosuppressants may synergistically interact to further enhance apoptosis and drive more rapid fibrosis.These findings suggest that modulation of apoptosis within the liver either by changing immunosuppressive therapy or the use of apoptosis inhibitors may help prevent fibrosis progression in patients with post-transplant HCV disease.展开更多
In this paper, we take naturally occurring 2-benzylidenebenzofuran-3-ones （aurones） inhibitors of hepatitis C virus （HCV） RNA-dependent RNA polymerase （RdRp） as an example to study the Multi-dimensional scaling ...In this paper, we take naturally occurring 2-benzylidenebenzofuran-3-ones （aurones） inhibitors of hepatitis C virus （HCV） RNA-dependent RNA polymerase （RdRp） as an example to study the Multi-dimensional scaling （MDS） method for structure-activity relationship. By analyzing training set molecules, our MDS method combined with a PROXSCAL algorithm can predict inhibitory activity of most compounds correctly. Thus, a new sample＇s activity can be estimated and judged conveniently, and whether it should be synthesized can be known. The MDS method is applicable to optimize the structure for a compound and to provide suggestions for drug design.展开更多
文摘Hepatitis C(HCV)-infected patients have a poorer survival post-liver transplantation compared to patients transplanted for other indications,since HCV recurrence post-transplant is universal and commonly follows an aggressive course.There is increasing evidence that in the non-transplant setting,induction of hepatocyte apoptosis is one of the main mechanisms by which HCV drives liver inflammation and fibrosis,and that HCV proteins directly promote apoptosis.Recent studies have shown that post-liver transplant,there is a link between high levels of HCV replication,enhanced hepatocyte apoptosis and the subsequent development of rapidly progressive liver fibrosis.Although the responsible mechanisms remain unclear,it is likely that immunosuppressive drugs play an important role.It is well known that immunosuppressants impair immune control of HCV,thereby allowing increased viral replication.However there is also evidence that immunosuppressants may directly induce apoptosis and this may be facilitated by the presence of high levels of HCV replication.Thus HCV and immunosuppressants may synergistically interact to further enhance apoptosis and drive more rapid fibrosis.These findings suggest that modulation of apoptosis within the liver either by changing immunosuppressive therapy or the use of apoptosis inhibitors may help prevent fibrosis progression in patients with post-transplant HCV disease.
文摘In this paper, we take naturally occurring 2-benzylidenebenzofuran-3-ones （aurones） inhibitors of hepatitis C virus （HCV） RNA-dependent RNA polymerase （RdRp） as an example to study the Multi-dimensional scaling （MDS） method for structure-activity relationship. By analyzing training set molecules, our MDS method combined with a PROXSCAL algorithm can predict inhibitory activity of most compounds correctly. Thus, a new sample＇s activity can be estimated and judged conveniently, and whether it should be synthesized can be known. The MDS method is applicable to optimize the structure for a compound and to provide suggestions for drug design.
