Optimization of novel acyl pyrrolidine inhibitors of hepatitis C virus RNA-dependent RNA polymerase leading to a development candidate

Optimization of a pyrrolidine-based template using structure-based design and physicochemical considerations has provided a development candidate 20b (3082) with submicromolar potency in the HCV replicon and good pharmacokinetic properties.

Identification of GSK625433: A novel clinical candidate for the treatment of hepatitis C.

Hepatitis C is an infection of the liver caused by a pos. single-stranded RNA virus (HCV) which affects 170 million people worldwide. It is responsible for 40-60% of all liver disease and is the major cause of liver transplants in the United States. The HCV NS5B gene encodes the viral RNA-dependent RNA polymerase which is essential for HCV replication. We have previously reported the identification of acylpyrrolidines as potent inhibitors of NS5B; however their activity is attenuated against genotype 1a. The design of improved broader-spectrum compds., capable of effective inhibition of both genotypes 1b and 1a is desirable. An understanding of the binding site and genotype sequence differences was utilized to design compds. with greatly enhanced genotype 1a and 1b potency. Our studies led to the identification of GSK625433, a potent, homochiral inhibitor of these HCV genotypes in both enzyme and sub-genomic replicon cell-based assays. GSK625433 has a good pharmacokinetic profile in pre-clin. animal species, enabling progression to clin. evaluation.

Autoimmune conditions and hairy cell leukemia: an exploratory case-control study

Background: Case reports suggest that hairy cell leukemia (HCL) may be associated with autoimmune conditions, however no systematic investigations in this area have been undertaken.

Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders.

Current clinical, laboratory or radiological parameters cannot accurately diagnose or predict disease outcomes in a range of autoimmune disorders. Biomarkers which can diagnose at an earlier time point, predict outcome or help guide therapeutic strategies in autoimmune diseases could improve clinical management of this broad group of debilitating disorders. Additionally, there is a growing need for a deeper understanding of multi-factorial autoimmune disorders. Proteomic platforms offering a multiplex approach are more likely to reflect the complexity of autoimmune disease processes. Findings from proteomic based studies of three distinct autoimmune diseases are presented and strategies compared. It is the authors' view that such approaches are likely to be fruitful in the movement of autoimmune disease treatment away from reactive decisions and towards a preventative stand point.