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Nutrigenomics of FAT: What is “good” or “bad” for human health? Michael Müller Netherlands Nutrigenomics Centre & Nutrition, Metabolism and Genomics Group Division of Human Nutrition, Wageningen University
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Nutrigenomics of FAT

Dec 12, 2014

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Health & Medicine

Recent lecture (june 2011)
Nutrigenomics of FAT: What is “good” or “bad” for human health?

Less healthy: Dietary fats rich in long chain saturated fatty acids that can be pro-inflammatory if chronically “overconsumed”
More favorable: 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
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Page 1: Nutrigenomics of FAT

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

Page 2: Nutrigenomics of FAT

2 Meals a day, work as long as possible & embrace challenge

Walter Breuning (1896 - 2011)

Page 3: Nutrigenomics of FAT

We have a tsunami of health problems

Page 4: Nutrigenomics of FAT

100

50

0

% Energy

Low-fat meatChickenEggsFish

FruitVegetables (carrots)NutsHoney

100

50

0

% Energy

FruitVegetablesBeans

MeatChickenFish

GrainMilk/-productsIsolated CarbohydratesIsolated Fat/OilAlcohol

1.200.000 Generations between feast en famine

Paleolithic era

2-3 Generations in energy abundance

Modern Times

Our “paleolithic” genes + modern diets

Page 5: Nutrigenomics of FAT

Nutrigenomics Quantification of the nutritional genotype-

phenotype

Phenotype

Metabolome

Proteome

Transcriptome

Epigenome

Genotype

Lifestyle

Nutrition

Environment

Page 6: Nutrigenomics of FAT

1 Genotype => 5 nutritional phenotypes

155 kg 76 kg

Page 7: Nutrigenomics of FAT

VLDL LPL

Remnant

FFA

Lipids

Chylomicrons

Organ and systemic responses to dietary lipids

Page 8: Nutrigenomics of FAT

Understanding NutritionHow nutrients regulate our genes: via sensing molecular

switches

Improved organ

capacity by PUFAs

J Clin Invest. 2004;114:94-103J Biol Chem. 2006;28:934-44 Endocrinology. 2006;147:1508-16Physiol Genomics. 2007;30:192-204Endocrinology. 2007;148:2753-63 BMC Genomics 2007; 8:267 Arterioscler Thromb Vasc Biol. 2007;27:2420-7

Am J Clin Nutr. 2007;86(5):1515-23PLOS 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

Am J Clin Nutr. 2009; 90:415-24Am J Clin Nutr. 2009;90:1656-64Mol Cell Biology 2009;29:6257-67Am J Clin Nutr. 2010;91:208-17BMC Genomics 2009Physiol. Genomics 2009Circulation 2010Diabetes 2010Cell Metabolism 2010Nature 2011

Page 9: Nutrigenomics of FAT

LPL

CE/TG

Chylomicron

CE/TG

Chylomicron remnant

FFA

Angptl4

Page 10: Nutrigenomics of FAT

Kersten, S. et al. Arterioscler Thromb Vasc Biol 2009;29:969-974

Expression profile of ANGPTL4 mRNA in human tissues

Page 11: Nutrigenomics of FAT

Angptl4-\- mice on HFD become very ill

Lichtenstein et al. Cell Metabolism 2010

Page 12: Nutrigenomics of FAT

Inflammatory response independent of microbiota

Lichtenstein et al. Cell Metabolism 2010

Page 13: Nutrigenomics of FAT

Massive enlargement of mesenteric lymph nodes in Angptl4-/- mice fed HFD

Lichtenstein et al. Cell Metabolism 2010

Page 14: Nutrigenomics of FAT

No effect of medium chain or PUFA TGs

Lichtenstein et al. Cell Metabolism 2010

Page 15: Nutrigenomics of FAT

Angptl4 protects against lipolysis and subsequent foam cell formation

Page 16: Nutrigenomics of FAT

Angptl4 protects against lipolysis and subsequent foam cell formation

Page 17: Nutrigenomics of FAT

Adipocytes at the crossroads of energy homeostasis

Page 18: Nutrigenomics of FAT

Normal

Type 2 Diabetes

Visceral Fat Distribution:Normal vs Type 2 Diabetes

Page 19: Nutrigenomics of FAT
Page 20: Nutrigenomics of FAT

Metabolic defects leading to the development of hepatic steatosis

Page 21: Nutrigenomics of FAT

Metabolism & Inflammation

Page 22: Nutrigenomics of FAT

Liver, FAT & NASH/NAFLD

Nonalcoholic Fatty Liver Diseases (NAFLD): Liver component of Metabolic Syndrome

Different stages in NAFLD progression:

Molecular events involved in NASH pathogenesis: Role of PPARa (Endocrinology 2008 & Hepatology 2010) Role Kupffer cells (Hepatology 2010)

Role of macrophages in lipid metabolism (JBC 2008; Cell Metabolism 2010)

hepatic steatosis steatohepatitis (NASH) & fibrosis cirrhosis

Page 23: Nutrigenomics of FAT

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.

Page 24: Nutrigenomics of FAT

Experimental Design

• stratificatio

n on body weight

• liver• plasma collection

multiple protein assays

RNA extraction: Affx microarrays

tissue collectionrun-in diet 20 weeks diet intervention

frozen sections: histological feat.

• ep. white adipose tissue

10% low fat diet

(palm oil)

10 LFD

10 HFD

45% high fat diet

(palm oil)

20 LFD

RNA extraction: real-time PCR

paraffin sections: histological feat.

lipid content

quality control & data analysis

pipeline

Mouse genome 430 2.0

0 2 4 8 12 16 20 weeks-3

Page 25: Nutrigenomics of FAT

High fat diet-induced obesity

0

5

10

15

20

25

0 2 4 8 12 16 20

weeks under diet intervention

BW

gai

n (g

)

**

*

**

* *

* *

LFLLFH

HFLHFH

***

***

Liver TG content

0

40

80

120

160

200

mg

TG

/g li

ver

ALT

act

ivity

(U

I)

ALT plasma activity

Rat

io L

W/B

W (

%)

Hepatomegaly

**

0

2

4

6

8

10

***

0

20

40

60

80

100

* *

LFL LFH HFL HFH

Page 26: Nutrigenomics of FAT

Adipose dysfunction in HFH mice

Leptin

Page 27: Nutrigenomics of FAT

A subpopulation of mice fed HFD develops NASH

Page 28: Nutrigenomics of FAT

Immunohistochemical staining confirms enhanced inflammation and early fibrosis in HFH mice

Macrophage CD68

Collagen

Stellate cell GFAP

Page 29: Nutrigenomics of FAT

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.

Page 30: Nutrigenomics of FAT

Upregulation of inflammatory and fibrotic gene expression in HFH

responder mice

Page 31: Nutrigenomics of FAT

Adipose dysfunction in HFH mice

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Change in adipose gene expression indicate adipose tissue dysfunction

Page 33: Nutrigenomics of FAT

Plasma proteins as early predictive biomarker for NASH in C57Bl/6 mice

Page 34: Nutrigenomics of FAT

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.

Page 35: Nutrigenomics of FAT

Human applications?Individual protein profiles

Population I (MARIS, n=56)

Van Dijk et al. Plos One 2010

Page 36: Nutrigenomics of FAT

Design of the SFA vs MUFA-rich intervention study

Run-in

SFA-rich diet (n=20)

SFA-rich diet (n=10)

MUFA-rich diet (n=10)

Baseline- Clamp- Adipose tissue

biopsy- Blood sampling

After intervention- Clamp- Adipose tissue

biopsy- Blood sampling

T=0 wks T=2 wks T=10 wks

Van Dijk et al. AJCN 2009

Page 37: Nutrigenomics of FAT

‘Obese-linked’ pro-inflammatory gene expression profile by SFAs

• 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”

SFA diet MUFA diet

Van Dijk et al. AJCN 2009

Page 38: Nutrigenomics of FAT

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 Clin Nutr. 2009

Page 39: Nutrigenomics of FAT

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

Page 40: Nutrigenomics of FAT

Thanks

Lydia AfmanMark BouwensSusan van DijkDiederik EsserSergio Lopez

Lisette de GrootMarianne GeleijnseOndine van de RestMarieke BosEdith FeskensRik HeijligenbergDianne HoelenJeanne de VriesGeert Heidema