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

Lookup NU author(s): Dr Jess Leighton, Professor David Jones, Dr Jess Dyson, Professor Heather Cordell

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© The Author(s) 2024. 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.


Publication metadata

Author(s): Leighton J, Jones DEJ, Dyson JK, Cordell HJ

Publication type: Article

Publication status: Published

Journal: BMC Medical Genomics

Year: 2024

Volume: 17

Online publication date: 11/06/2024

Acceptance date: 05/06/2024

Date deposited: 24/06/2024

ISSN (electronic): 1755-8794

Publisher: BioMed Central Ltd

URL: https://doi.org/10.1186/s12920-024-01927-2

DOI: 10.1186/s12920-024-01927-2

Data Access Statement: All data generated or analysed during this study are included in this published article and its supplementary information.

PubMed id: 38862968


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Funding

Funder referenceFunder name
219424/Z/19/Z
Wellcome Trust

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