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Systems biology in hepatology: approaches and applications

Journal article
Authors A. Mardinoglu
Jan Borén
Ulf Smith
M. Uhlen
J. Nielsen
Published in Nature Reviews Gastroenterology & Hepatology
Volume 15
Issue 6
Pages 365-377
ISSN 1759-5045
Publication year 2018
Published at Institute of Medicine, Department of Molecular and Clinical Medicine
Pages 365-377
Language en
Keywords fatty liver-disease, protein interaction networks, scale metabolic, models, plasma mannose levels, human gut microbiome, genome-scale, insulin-resistance, cardiovascular-disease, amino-acid, posttranslational modifications, Gastroenterology & Hepatology,
Subject categories Clinical Medicine


Detailed insights into the biological functions of the liver and an understanding of its crosstalk with other human tissues and the gut microbiota can be used to develop novel strategies for the prevention and treatment of liver-associated diseases, including fatty liver disease, cirrhosis, hepatocellular carcinoma and type 2 diabetes mellitus. Biological network models, including metabolic, transcriptional regulatory, protein-protein interaction, signalling and co-expression networks, can provide a scaffold for studying the biological pathways operating in the liver in connection with disease development in a systematic manner. Here, we review studies in which biological network models were used to integrate multiomics data to advance our understanding of the pathophysiological responses of complex liver diseases. We also discuss how this mechanistic approach can contribute to the discovery of potential biomarkers and novel drug targets, which might lead to the design of targeted and improved treatment strategies. Finally, we present a roadmap for the successful integration of models of the liver and other human tissues with the gut microbiota to simulate whole-body metabolic functions in health and disease.

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