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Systems biology in ...
Systems biology in hepatology: approaches and applications
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- Mardinoglu, Adil, 1982 (author)
- KTH,Science for Life Laboratory, SciLifeLab,Chalmers Univ Technol, Dept Biol & Biol Engn, Gothenburg, Sweden.
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- Borén, Jan, 1963 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital,Univ Gothenburg, Dept Mol & Clin Med, Gothenburg, Sweden.;Sahlgrens Univ Hosp, Gothenburg, Sweden.
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- Smith, Ulf, 1943 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital,Univ Gothenburg, Dept Mol & Clin Med, Gothenburg, Sweden.;Sahlgrens Univ Hosp, Gothenburg, Sweden.
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- Uhlén, Mathias (author)
- KTH,Science for Life Laboratory, SciLifeLab
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- Nielsen, Jens B, 1962 (author)
- KTH,Science for Life Laboratory, SciLifeLab,Chalmers Univ Technol, Dept Biol & Biol Engn, Gothenburg, Sweden.
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(creator_code:org_t)
- 2018-04-23
- 2018
- English.
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In: Nature Reviews Gastroenterology & Hepatology. - : Springer Science and Business Media LLC. - 1759-5045 .- 1759-5053. ; 15:6, s. 365-377
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Gastroenterologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)
Keyword
- 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
Publication and Content Type
- ref (subject category)
- art (subject category)
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