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Multi-scale, whole-system models of liver metabolic adaptation to fat and sugar in non-alcoholic fatty liver disease.
Maldonado, Elaina M; Fisher, Ciarán P; Mazzatti, Dawn J; Barber, Amy L; Tindall, Marcus J; Plant, Nicholas J; Kierzek, Andrzej M; Moore, J Bernadette.
Afiliación
  • Maldonado EM; 1School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, GU2 7XH UK.
  • Fisher CP; Certara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ UK.
  • Mazzatti DJ; 3Proctor & Gamble, Cincinnati, OH 45224 USA.
  • Barber AL; 1School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, GU2 7XH UK.
  • Tindall MJ; 4Department of Mathematics and Statistics, University of Reading, Berkshire, RG6 6AX UK.
  • Plant NJ; 5Institute of Cardiovascular and Metabolic Research, University of Reading, Berkshire, RG6 6UR UK.
  • Kierzek AM; 1School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, GU2 7XH UK.
  • Moore JB; 6Faculty of Biological Sciences, University of Leeds, Leeds, West Yorkshire, LS2 9JT UK.
NPJ Syst Biol Appl ; 4: 33, 2018.
Article en En | MEDLINE | ID: mdl-30131870
Non-alcoholic fatty liver disease (NAFLD) is a serious public health issue associated with high fat, high sugar diets. However, the molecular mechanisms mediating NAFLD pathogenesis are only partially understood. Here we adopt an iterative multi-scale, systems biology approach coupled to in vitro experimentation to investigate the roles of sugar and fat metabolism in NAFLD pathogenesis. The use of fructose as a sweetening agent is controversial; to explore this, we developed a predictive model of human monosaccharide transport, signalling and metabolism. The resulting quantitative model comprising a kinetic model describing monosaccharide transport and insulin signalling integrated with a hepatocyte-specific genome-scale metabolic network (GSMN). Differential kinetics for the utilisation of glucose and fructose were predicted, but the resultant triacylglycerol production was predicted to be similar for monosaccharides; these predictions were verified by in vitro data. The role of physiological adaptation to lipid overload was explored through the comprehensive reconstruction of the peroxisome proliferator activated receptor alpha (PPARα) regulome integrated with a hepatocyte-specific GSMN. The resulting qualitative model reproduced metabolic responses to increased fatty acid levels and mimicked lipid loading in vitro. The model predicted that activation of PPARα by lipids produces a biphasic response, which initially exacerbates steatosis. Our data support the evidence that it is the quantity of sugar rather than the type that is critical in driving the steatotic response. Furthermore, we predict PPARα-mediated adaptations to hepatic lipid overload, shedding light on potential challenges for the use of PPARα agonists to treat NAFLD.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: NPJ Syst Biol Appl Año: 2018 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: NPJ Syst Biol Appl Año: 2018 Tipo del documento: Article Pais de publicación: Reino Unido