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Nat Rev Gastroenterol Hepatol. 2018 Jun;15(6):365-377. doi: 10.1038/s41575-018-0007-8.

Systems biology in hepatology: approaches and applications.

Author information

1
Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden. adilm@scilifelab.se.
2
Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. adilm@scilifelab.se.
3
Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden.
4
Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
5
Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Abstract

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.

PMID:
29686404
DOI:
10.1038/s41575-018-0007-8

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