Systems biology in hepatology: Approaches and applications
Reviewartikel, 2018

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.

Författare

Adil Mardinoglu

Chalmers, Biologi och bioteknik, Systembiologi

Kungliga Tekniska Högskolan (KTH)

Jan Borén

Sahlgrenska universitetssjukhuset

Ulf Smith

Sahlgrenska universitetssjukhuset

Mathias Uhlen

Kungliga Tekniska Högskolan (KTH)

Jens B Nielsen

Kungliga Tekniska Högskolan (KTH)

Chalmers, Biologi och bioteknik, Systembiologi

Nature Reviews Gastroenterology and Hepatology

1759-5045 (ISSN) 1759-5053 (eISSN)

Vol. 15 6 365-377

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci)

Bioinformatik och systembiologi

DOI

10.1038/s41575-018-0007-8