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From Nutrigenomics to nutritional systems biology of fatty acid sensing
1. From Nutrigenomics to nutritional systems biology of fatty acid sensing Michael MüllerNetherlands Nutrigenomics Centre & Nutrition, Metabolism and Genomics GroupDivision of Human Nutrition, Wageningen University
9. Phenotype plasticity Phenotypic plasticity is the ability of an organism to change its phenotype in response to changes in the environment (e.g. nutrition).
10. Objectives of our mechanistic nutrigenomics research Comprehensively understand the cellular specific responses to dietary lipids. Characterize the role of fatty acid sensing transcription factors such as PPARs. Identify target genes of dietary fatty acids& reconstruct related pathways. Demonstrate organ-specific difference of fatty acid-specific transcriptomes. Characterize the molecular basis for interaction between lipid and inflammatory signaling (related to “two hits” in initiation of organ dysfunction).
12. Lipids FFA Remnant LPL VLDL Chylomicrons Organ and systemic responses to dietary lipids
13. We build databases forevidence-basednutrition Evidence-basedNutrition Genes regulated by fatty acidsGenes regulated by high fat Genes also regulated by inflammation Query DIET GenomeEpigenomeTranscriptomeProteomeMetabolome “DIETome”database Query Nutrigenomics Potential BiomarkersOrgan-specific secreted proteins
16. Function of hepatic mouse & human PPARa Studies in mice have shown that PPARa is an important regulator of hepatic lipid metabolism and the acute phase response. However, little information is available on the role of PPARain human liver. Here we set out to compare the function of PPARain mouse and human hepatocytes via analysis of target gene regulation. Primary hepatocytes from 6 human and 6 mouse donors were treated with PPARa agonist Wy14643 and gene expression profiling was performed using Affymetrix GeneChips followed by a systems biology analysis. Rakhshandehroo M, Hooiveld G, Müller M, Kersten S (2009) Comparative Analysis of Gene Regulation by the Transcription Factor PPARa between Mouse and Human. PLoS ONE 4(8): e6796
17. Partial conservation of PPARa-regulated genes in hepatocytes between human and mouse between mouse and human PLoS ONE 4(8): e6796.
18. Species-specific regulation of two gene sets originating from gene set enrichment analysis (GSEA) Glycolysis-gluconeogenesis as a mouse-specific upregulated gene set Xenobiotic metabolism as a human-specific upregulated gene set PLoS ONE 4(8): e6796.
19. PPARa controls lipid metabolism & is the hepatic sensor for dietary fatty acids in mice & men
20. Conclusion I Species-specific differences in PPARa signaling (underlying mechanisms?) Common part in PPARa-dependent biology between human & mouse.
21. Collection of livers Oral gavage PPARα knock-out Removal of food 5 am 3 pm 9 am wild-type 78 Affymetrix Mouse Genome 430 2.0 microarrays QPCR Is there a significant role of PPARa in gene regulation by dietary fatty acids in vivo ? Sanderson, PlosONE 2008
25. Conclusions II Dietary fatty acids are able to ligand-activate Ppara in mouse liver. The effects of dietary fatty acids on hepatic gene expression are almost entirely mediated by Ppara.
27. PPARβ/δ but not PPARα serves as plasma free fatty acid sensor in liver Sanderson Mol CellBiology2009 Dec;29(23):6257-67 PPARβ/δ but not PPARα serves as plasma free fatty acid sensor in liver
28. The intestine as a gatekeeper Food intake Satiety FGF21ANGPTL4 SFAGlucoseFructose LPL Adipokines: Adiponectin Leptin ResistinANGPTL4 TNFa etc LPL LPL GI hormones:Insulin GIP GLP1 PYY Ghrelin ANGPTL4 FGF15/19
29. The small intestine as primary organ is response to nutrients & food components
30. A major role for PPARa in intestinal fatty acid sensing Physiol Genomics. 2007 ;30(2):192-204
35. Dose-dependent effects of dietary fat on development of obesity in relation to intestinal differential gene expression in C57BL/6J mice PLOS one 2011
36. Robust & concentration dependent effects in small intestineDifferentially regulated intestinal genes by high fat diet C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 PLOS one 2011
37. Heat map diagrams of fat-dose dependently regulated genes, categorized according to their biological function PLOS one 2011
38. Cellular localization and specific lipid metabolism-related function of fat-dose dependently regulated genes PLOS one 2011
39. The intestinal tube model for lipid absorption 40 cm 4 cm C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 Microbiota 10% FAT 45% FAT
41. Conclusions III Transcriptomics is powerful to comprehensively screen for PPAR target genes in various organs. Challenge is get organ & cell specific information on role of PPARs, target genes and (dietary) ligands. Future goal is to construct quantitative models for PPAR function related to organ health / metabolic plasticity.
42. Controllability of complex networks Naturally occurring networks, such as those involving gene regulation, are surprisingly hard to control. To fully control a gene regulatory network, roughly 80% of the nodes should be driver nodes. (in contrast to social networks) To a certain extent this is reassuring, because it means that such networks are fairly immune to hostile takeovers: a large fraction of the network's nodes must be directly controlled for the whole of it to change. By contrast, engineered networks are generally much easier to control, which may or may not be a good thing, depending on who is trying to control the network. This may explain also the big difference between “food & pharma”. Yang-Yu Liu, Jean-Jacques Slotine& Albert-LászlóBarabási Nature 473, 167–173
43. Difference between Food & Pharma Drugs A B C PPARg PPARb PPARa Receptor C3 C2 C1 Fatty acids F C6 C5 C4 Multiple targets
50. Sander KerstenLinda SandersonNatasha Georgiadi Mark BouwensLydia Afman Guido Hooiveld Meike Bunger Philip de Groot Mark Boekschoten Nicole de Wit Mohammad Ohid Ullah Christian Trautwein Folkert Kuipers Ben van Ommen + many more