Network proximity analysis as a theoretical model for identifying potential novel therapies in primary sclerosing cholangitis

Abstract

Abstract Primary Sclerosing Cholangitis (PSC) is a progressive cholestatic liver disease with no licensed therapies. Previous Genome Wide Association Studies (GWAS) have identified genes that correlate significantly with PSC, and these were identified by systematic review. Here we use novel Network Proximity Analysis (NPA) methods to identify already licensed candidate drugs that may have an effect on the genetically coded aspects of PSC pathophysiology. Over 2000 agents were identified as significantly linked to genes implicated in PSC by this method. The most significant results include previously researched agents such as metronidazole, as well as biological agents such as basiliximab, abatacept and belatacept. This in silico analysis could potentially serve as a basis for developing novel clinical trials in this rare disease.

Keywords

• Network proximity analysis
• Genome-wide association studies
• Therapeutics
• Autoimmune liver disease
• Primary sclerosing cholangitis
• Hepatology