Nutrigenomics of FAT
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1) The document discusses nutrigenomics research on the effects of different types of dietary fats on human health. Certain long chain saturated fats are described as potentially pro-inflammatory, while unsaturated fats like omega-3 PUFAs are anti-inflammatory. 2) Studies in mice found that a high-fat diet led to heterogeneity in liver responses, with some mice developing non-alcoholic steatohepatitis (NASH) due to interactions between dysfunctional adipose tissue and the liver. Certain plasma proteins were identified as potential early biomarkers for NASH. 3) Human studies found that saturated fat-rich diets induced pro-inflammatory gene expression in adipose tissue and blood cells
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Nutrigenomics of FAT
- 1. Nutrigenomics of FAT: What is “good” or “bad” for human health? Michael MüllerNetherlands Nutrigenomics Centre & Nutrition, Metabolism and Genomics GroupDivision of Human Nutrition, Wageningen University
- 2. 2 Meals a day, work as long as possible & embrace challenge Walter Breuning (1896 - 2011)
- 3. We have a tsunami of health problems
- 4. Our “paleolithic” genes + modern diets Paleolithic era Modern Times 1.200.000 Generations between feast en famine 2-3 Generations in energy abundance % Energy % Energy 100 100 Grain Milk/-products Isolated Carbohydrates Isolated Fat/OilAlcohol Low-fat meatChicken Eggs Fish 50 Meat Chicken Fish 50 Fruit Vegetables (carrots) Nuts Honey Fruit Vegetables Beans 0 0
- 5. Nutrigenomics Quantification of the nutritional genotype-phenotype Lifestyle Nutrition Environment
- 6. 1 Genotype => 5 nutritional phenotypes 155 kg 76 kg
- 7. Lipids FFA Remnant LPL VLDL Chylomicrons Organ and systemic responses to dietary lipids
- 8. Understanding NutritionHow nutrients regulate our genes: via sensing molecular switches Improved organcapacity by PUFAs Am J ClinNutr. 2009; 90:415-24Am J ClinNutr. 2009;90:1656-64Mol CellBiology2009;29:6257-67 Am J ClinNutr. 2010;91:208-17BMC Genomics2009 Physiol. Genomics2009Circulation 2010Diabetes 2010 Cell Metabolism 2010Nature 2011 Am J Clin Nutr. 2007;86(5):1515-23 PLOS ONE 2008;3(2):e1681 BMC Genomics 2008; 9:231BMC Genomics 2008; 9:262J Biol Chem. 2008;283:22620-7Arterioscler Thromb Vasc Biol. 2009;29:969-74. Plos One 2009;4(8):e6796HEPATOLOGY 2010;51:511-522 J Clin Invest. 2004;114:94-103 J Biol Chem. 2006;28:934-44 Endocrinology. 2006;147:1508-16 Physiol Genomics. 2007;30:192-204Endocrinology. 2007;148:2753-63 BMC Genomics 2007; 8:267 Arterioscler Thromb Vasc Biol. 2007;27:2420-7
- 9. Chylomicron CE/TG Angptl4 LPL CE/TG FFA Chylomicron remnant
- 10. Kersten, S. et al. ArteriosclerThrombVascBiol 2009;29:969-974 Expression profile of ANGPTL4 mRNA in human tissues
- 11. Angptl4- mice on HFD become very ill Lichtenstein et al. Cell Metabolism 2010
- 12. Inflammatory response independent of microbiota Lichtenstein et al. Cell Metabolism 2010
- 13. Massive enlargement of mesenteric lymph nodes in Angptl4-/- mice fed HFD Lichtenstein et al. Cell Metabolism 2010
- 14. No effect of medium chain or PUFA TGs Lichtenstein et al. Cell Metabolism 2010
- 15. Angptl4 protects against lipolysis and subsequent foam cell formation
- 16. Angptl4 protects against lipolysis and subsequent foam cell formation
- 17. Adipocytes at the crossroads of energy homeostasis
- 18. Normal Type 2 Diabetes Visceral Fat Distribution:Normal vs Type 2 Diabetes
- 20. Metabolic defects leading to the development of hepatic steatosis
- 23. Different stages in NAFLD progression:
- 24. Molecular events involved in NASH pathogenesis:
- 25. Role of PPARa (Endocrinology 2008 & Hepatology 2010)
- 26. Role Kupffer cells (Hepatology 2010)
- 27. Role of macrophages in lipid metabolism (JBC 2008; Cell Metabolism 2010)hepatic steatosis steatohepatitis (NASH) & fibrosis cirrhosis
- 28. Interaction between WAT and liver tissue essential for NASH/NAFLD in C57Bl/6 mice Objective: Nonalcoholic fatty liver disease (NAFLD) is strongly linked to obesity and diabetes, suggesting an important role of adipose tissue in the pathogenesis of NAFLD. Here we aimed to investigate the interaction between adipose tissue and liver in NAFLD, and identify potential early plasma markers that predict NASH.
- 31. High fat diet-induced obesity 0 2 4 8 12 16 20 HFL LFL HFH LFH 25 20 * * 15 ** BW gain (g) * 10 * * * * 5 0 weeks under diet intervention Liver TG content Hepatomegaly ALT plasma activity 200 10 100 *** *** ** 160 8 80 ** 120 6 60 * Ratio LW/BW (%) mg TG/g liver ALT activity (UI) 80 4 40 * * 40 2 20 0 0 0 LFL LFH HFL HFH
- 32. Adipose dysfunction in HFH mice Leptin
- 33. A subpopulation of mice fed HFD develops NASH
- 34. Immunohistochemicalstaining confirms enhanced inflammation and early fibrosis in HFH mice Macrophage CD68 Collagen Stellate cell GFAP
- 35. Results I Mice exhibited pronounced heterogeneity in liver histological scoring, leading to classification into 4 subgroups: LF-low (LFL) responders displaying normal liver morphology, LF-high (LFH) responders showing benign hepatic steatosis, HF-low (HFL) responders displaying pre-NASH with macrovesicular lipid droplets, HF-high (HFH) responders exhibiting overt NASH characterized by ballooning of hepatocytes, presence of Mallory bodies, and activated inflammatory cells.
- 36. Upregulation of inflammatory and fibrotic gene expression in HFH responder mice
- 37. Adipose dysfunction in HFH mice
- 38. Change in adipose gene expression indicate adipose tissue dysfunction
- 39. Plasma proteins as early predictive biomarker for NASH in C57Bl/6 mice
- 40. Conclusions Our data support the existence of a tight relationship between adipose tissue dysfunction and NASH pathogenesis. It points to several novel potential predictive biomarkers for NASH. Diabetes. 2010;59:3181-91.
- 41. Human applications?Individual protein profiles Population I (MARIS, n=56) Van Dijk et al. Plos One 2010
- 43. Adipose tissue biopsy
- 45. Adipose tissue biopsy
- 46. Blood samplingVan Dijk et al. AJCN 2009
- 47. ‘Obese-linked’ pro-inflammatory gene expression profile by SFAs MUFA diet SFA diet The SFA-rich diet: Induces a pro-inflammatory obese-linked gene expression profile Decreases expression and plasma level of the anti-inflammatory cytokine adiponectin “Personal Transcriptomes” Van Dijk et al. AJCN 2009
- 48. Fish-oil supplementation induces anti-inflammatory gene expression profiles in human blood mononuclear cells Less inflammation & decreased pro-arteriosclerosis markers= Anti-immuno-senescence Bouwens et al. Am J ClinNutr. 2009
- 49. Summary Less healthy: Dietary fats rich in long chain saturated fatty acids that can be pro-inflammatory if chronically “overconsumed” More favourable: Unsaturated fatty acids (in particular PUFAs from fish oil) have anti-inflammatory properties A healthy adipose tissue is essential to efficiently store fat and prevent ectopic fat deposition Healthy : Subcutanous fat > visceral fat > ectopic fat : Unhealthy Future challenge: To prevent the unhealthy effects of a surplus of added sugars (sucrose, fructose) & high GI carbs Will be converted into saturated fat Linked to ectopic fat deposition e.g. NASH Linked to obesity, diabetes, CVD…. Childhood obesity
- 50. Thanks Lydia Afman Mark Bouwens Susan van Dijk DiederikEsser Sergio Lopez Lisette de Groot Marianne Geleijnse Ondine van de Rest MariekeBos Edith Feskens RikHeijligenberg Dianne Hoelen Jeanne de Vries Geert Heidema
Editor's Notes
- Inflammation has been associated with many disease phenotypes including steatohepatitis or diabetes. This relationship is in particular when inflammation is chronic or non-resolving. There is an interaction between metabolism and inflammation with positive or negative consequences with respect to organ and systemic health.In my talk I will briefly discuss two unpublished studies, one investigating the important interaction of WAT and liver in particular under conditions of diet-induced obesity. Organ-specific macrophages in WAT and liver play an crucial role in progressing organ-specific inflammatory phenotypes. In the second study we found very interesting interaction between dietary fat and macrophages in mesenteric lymph nodes that are exposed postprandially to very high concentrations of chylomicrons. We used a k.o. mouse for ANGPTL4 and could show that chronic consumption of saturated fat can be deadly.
- A) Bodyweight changes in the 4 subgroups during the 21 week dietary intervention. White squares: LFL, Light grey squares: LFH, dark grey squares: HFL, black squares: HFH. B) Mean daily energy intake. C) Positive correlation between final bodyweight and liver triglyceride concentration (P<0.05). D) Weight of epididymal fat depot. E) Adipose tissue leptin mRNA expression as determined by qPCR. Mean expression in LFL mice was set at 100%. F) Plasma free fatty acid levels. Error bars reflect standard deviation. * = significantly different from HFL mice according to Student’s t-test (P<0.05). Number of mice per group: n=4 (LFL, HFL, HFH), n=6 (LFH).
- A subpopulation of mice fed HFD develops NASH. Haematoxylin and eosin staining (D) and oil red O staining (E) of representative liver sections of the 4 subgroups
- (Immuno)histochemical staining confirms enhanced inflammation and early fibrosis in HFH miceImmunohistochemical staining of macrophage activation in representative liver section of HFL and HFH mice using antibody against the specific macrophagemarker Cd68Collagen staining using fast green FCF/sirius red F3B. Staining of stellate cell activation using antibody against GFAP.
- - Number of genes up- or down-regulated in the various subgroups in comparison to the LFL mice, as determined by Affymetrix GeneChip analysis. Genes with a p-value below 0.05 were considered significantly regulated. - Heat map showing changes in expression of selected genes involved in lipid metabolism, inflammation and fibrosis in liver. Changes in gene expression of selected genes as determined by real-time quantitative PCR. Mean expression in LFL mice was set at 100%. Error bars reflect standard deviation. Bars with different letters are statistically different (P<0.05 according to Student’s t-test). Number of mice per group: n=4 (LFL, HFL, HFH), n=6 (LFH).
- Haematoxylin and eosin staining of representative adipose tissue sections. Immunohistochemical staining of macrophages using antibody against Cd68. Collagen staining using fast green FCF/sirius red F3B.
- Adipose tissue mRNA expression of a selected group of genes was determined by quantitative real-time PCR after 21 weeks of dietary intervention. Mean expression in LFL mice was set at 100%. Error bars reflect standard deviation. * = significantly different from HFL mice according to Student’s t-test (P<0.05). Number of mice per group: n=4 (LFL, HFL, HFH), n=6 (LFH).
- . A) Plasma concentration of haptoglobin, TIMP-1, IL-1β, leptin and insulin were determined by multiplex assay at specific time points during the 21 weeks of dietary intervention after a 6h fast. White squares: LFL, Light grey squares: LFH, dark grey squares: HFL, black squares: HFH. Error bars reflect standard deviation. * = significantly different from HFL mice according to Student’s t-test (P<0.05). Number of mice per group: n=4 (LFL, HFL, HFH), n=6 (LFH).