title: A combined proteomics and computational approach provides a better understanding of HCV-induced liver disease.
abstract: HCV is a major cause of chronic liver disease worldwide and is a formidable therapeutic challenge. Recently, Diamond et al. analyzed the proteomic profiles of liver samples from HCV-positive liver transplant recipients, supplemented with an independent metabolite analysis. They used a computational approach, which highlighted the enriched functional themes and topological attributes associated with the protein association network based on their clinical data and suggested a crucial role of oxidative stress in fibrosis progression in HCV infection. Their findings provide new insights into the mechanisms that regulate the progression of HCV-associated liver fibrosis, which may be useful for identification of suitable biomarkers to evaluate the onset and severity of hepatic fibrosis and the development of new therapeutic and anti-HCV strategies.
authors.affiliation: National Institute of Biomedical Innovation, 7-6-8 Saito Asagi, Ibaraki, Osaka 567-0085, Japan.
authors.forename: Lokesh P
authors.initials: LP
authors.lastname: Tripathi
authors.forename: Kenji
authors.initials: K
authors.lastname: Mizuguchi