A combined proteomics and computational approach provides a better understanding of HCV-induced liver disease. (October 2012)

• Record Type: Journal Article
• Authors: Tripathi, Lokesh P; Mizuguchi, Kenji
• Is Part Of: Expert review of proteomics. Volume 9:Number 5(2012)
• Page Start: 493
• Page End: 496
• Publication Date: 2012-10
• Subjects: biomarker -- fibrosis -- hepatitis C virus liver biopsy -- liver transplant -- metabolite -- network -- proteomics -- systems biology; Proteins -- Biotechnology -- Periodicals; Proteomics -- Periodicals; 572.6
• DOI: 10.1586/epr.12.47
• Languages: English
• ISSNs: 1478-9450

Abstract

Evaluation of: Diamond DL, Krasnoselsky AL, Burnum KE et al . Proteome and computational analyses reveal new insights into the mechanisms of hepatitis C virus-mediated liver disease posttransplantation. Hepatology 56(1), 28–38 (2012). 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.