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You are what you eat - more than a gut feeling 
Michael Müller 
Professor of Nutrigenomics & Systems Nutrition 
Norwich Medical School
You are what you eat, have eaten, host & what you fed them 
2 Meals/day, work as long as possible & embrace challenges 
Walter Breuning (1896 – 2011, aged 114 years, 205 days) 
(Breuning was also a lifelong cigar smoker, but quit in 1999 when he was 103 because it became too expensive)
“You are what you eat, have eaten & host” 
Germany 
Chad 
UK Ecuador
The non-western & western reality: 
The challenges of non-communicable diseases
Non-communicable diseases are complex 
“Too much non-resolving metabolic & pro-inflammatory stress” 
Non-communicable diseases are caused by chronic organ overload & dysregulation
Chronic organ overload 
Simplified endocrinology of “too much” 
Too much sat. fat / 
carbs 
Too much sat. fat 
Too much fructose/ 
sat. fat 
Too much glucose/ 
sat. fat 
No exercise & too much 
glucose / sat. fat 
Too much pro-inflammatory 
stress 
Metabolic Syndrome 
‘Systemic Disease’ 
Chronic non-resolving 
pro-inflammatory 
systemic stress 
Misbalanced 
secretion of 
Enterokines 
Adipokines 
Hepatokines 
Insulin & … 
Myokines 
Cytokines
% Energy 
100 
50 
0 
Our “paleolithic” genes + modern diets 
Paleolithic era 
Low-fat meat 
Chicken 
Eggs 
Fish 
Fruits 
Vegetables (carrots) 
Nuts 
Honey 
% Energy 
100 
50 
0 
Grain 
Milk/-products 
Isolated Carbs 
Isolated Fat/Oil 
Alcohol 
Meat 
Chicken 
Fish 
Fruits 
Vegetables 
Beans 
1.200.000 Generations 
between feast en famine 
Modern Times 
3-4 Generations 
in energy abundance 
Real foods with ‘challenges’ “Safe, processed” foods = Less challenges
“A state of complete physical, 
mental and social well-being and 
not merely the absence of disease 
or infirmity.” WHO 1948 
‘‘The states of health or disease are 
the expressions of the success or 
failure experienced by the organism 
in its efforts to respond adaptively to 
environmental challenges’’ 
Rene Dubos, 1965 
Optimized ability of an individual 
to adapt to immuno-metabolic 
challenges (2014) 
What is 
“Health as the ability to adapt 
and to self manage” 
BMJ 2011
“We are what we eat, have eaten and what we host” 
4Rs: Received, Recorded, Remembered & Revealed 
© Prof. John Mathers
No pain, no gain 
The molecular basis of adaptation
Metabolic homeostasis is regulated by nutrient sensors 
Ronald M. Evans , David J. Mangelsdorf Nuclear Receptors, RXR, and the Big Bang Cell, Volume 157, Issue 1, 2014, 255 - 266
Understanding Nutrition: Identifying the mechanisms involved in the 
regulation of chromatin activity and gene transcription 
Impact on 
metabolic capacity 
& health of organs 
& the epigenetic 
memory 
Transgenic mice 
(e.g. k.o. for NRF2, 
HIF1, AHR, PPARs etc) 
How can we use our genomes in a more optimal way with healthy nutrition & lifestyles?
Nutrient-sensing transcription factors are 
linking cellular biology to systems biology 
Liver 
PPAR 
Heart 
Intestine 
small intestine 
0 25 50 75 100 
heart 
liver 
kidney 
skeletal muscle 
brain 
ovary 
spleen 
colon 
esophagus 
lung 
adipose 
thyroid 
cervix 
testes 
prostate 
bladder 
thymus 
trachea 
placenta 
% % % % 
Pnliprp2 , Pnliprp1, Mgll, 
Lipe, Lipa, Pla2g6, 
Pnpla2, Pnpla8, Daglb, 
Ces1, Ces3 
TAG (re)-synthesis 
Chylomicron assembly 
& secretion 
Apolipoproteins & related 
Fatty acid 
transport & 
binding 
Mitochondrial, 
microsomal, peroxisomal 
fatty acid oxidation 
Ketone body synthesis 
Intestinal lipases & 
phospholipases 
Fat/Cd36, Slc27a2, 
Slc27a4, Acsl1, Acsl3, 
Acsl5, Fabp2, Fabp1, 
Scarb2, Scarb1 
Gpat1, Mogat2, 
Dgat1, Dgat2, 
Gpat3, Agpat3 
Mttp, Stx5a, Vti1a, 
Bet1, Sar1a 
Apob, Apoa1 , Apoa2, Angptl4, 
Apoa4, Apoc2, Vldlr, Apoc3, 
Apoe, Apol3, Apool 
Acaa2, Acad10, Acad8, Acad9, 
Acadl, Acadm, Acads, Acadsb, 
Acadvl, Acot10, Acot2, Acot9, 
Aldh9a1, Cpt1a, Cpt2, Crat, Dci, 
Decr1, Hadha, Hadhb, Hibch, 
Slc22a5, Slc25a20, Aldh3a2, 
Cyp4a10, Abcd3, Acaa1a, 
Acaa1b, Acot3, Acot4, Acot5, 
Acot8, Acox1, Acox2, Crot, 
Decr2, Ech1, Ehhadh, 
Hsd17b4, Peci, Pecr, 
Ppara 
Acat1, Hmgcl, Hmgcs2 
P 
P 
A 
R 
α
Context-dependent gene regulation by the 
nutrient-sensing transcription factor PPARa 
WY 
Fibrate 
“Drug” 
Liver Intestine 
DHA 
PUFA 
“Food”
Higher resolution biology: 
We need a google map of metabolic pathways 
Here we are
A systems nutrition view of health & disease 
de Wit NJ, Afman LA, Mensink M, Müller M 
Phenotyping the effect of diet on non-alcoholic 
fatty liver disease J Hepatol 2012 
.
A systems view on the 
GUT
Response to the intestine to different 
doses of dietary fat 
De Wit et al Plos ONE 2011
Study to show metabolic plasticity of the gut 
Dose-dependent effects of dietary fat on development of obesity in 
relation to intestinal differential gene expression in C57BL/6J mice 
De Wit et al Plos ONE 2011
Robust & concentration dependent effects in small intestine 
Differentially regulated intestinal genes by a high fat diet 
C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 
De Wit et al Plos ONE 2011
Cellular localization and specific lipid metabolism-related 
function of fat-dose dependently regulated genes 
De Wit et al Plos ONE 2011
Do not overload organs 
C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 
45% FAT 
10% FAT 
40 cm 
4 cm 
chronically 
De Wit et al Plos ONE 2011
Is there a difference between dietary fats in 
overloading the intestinal capacity ? 
Yes a High Fat Palm Oil-diet reduced microbial diversity and 
increased the Firmicutes-to-Bacteroidetes ratio 
De Wit et al AmJPhysiol 2012
Do not chronically overload your organs 
• Saturated fat (but not or to a less extent unsaturated fat) stimulates obesity and 
the development of fatty liver disease and affects gut microbiota composition & 
diversity by an enhanced overflow of dietary fat to the distal intestine. 
• Unsaturated fats are more effectively taken up by the small intestine, likely by 
more efficiently activating nutrient sensing systems (PPARs) and thereby 
contributing to the prevention of organ overload & the development of early 
pathology (e.g. NASH). 
Food Colon
Chow 
LFD 
HFD 
You are what you eat? 
Impact of different diets on the mouse gut 
Macronutrient composition 
Chow LF HF 
Protein % 24 20 20 
Fat % 6 10 45 
C16:0 1.2 2.8 18.7 
C18:0 0 0.4 1.8 
C18:1 2.2 3.2 17.4 
C18:2 2.6 3.6 7.1 
CHO % 64 70 35 
Sugar 27 27 
Starch 42 7 
Fiber 4 1 1 
Nitrogen-free extract 60 
Ash % 6 
Total 100 100 100
Dietary impact on the activation of the AhR 
essential for the gut immune system 
HF-Chow HF-LF Chow-LF 
1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 
AHR activation 
11622_at Ahr 
Detoxification 
13076_at Cyp1a1 
14858_at Gsta2 
14859_at Gsta3 
14862_at Gstm1 
18104_at Nqo1 
Inflammation (ILCs and IELs) 
19885_at Rorc (ILC) 
12501_at Cd3e (IEL) 
12502_at Cd3g (IEL) 
12525_at Cd8a (IEL) 
20302_at Ccl3 (IEL) 
20304_at Ccl5 (IEL) 
432729_at Tcrg-C (IEL) 
17067_at Ly6c1 (IEL, type a) 
16636_at Klra5 (IEL, type b) 
12504_at Cd4 (T helper) 
12475_at Cd14 (Monocytes) 
12478_at Cd19 (B cells)
"Eat food, not too much, mostly plants"
The gut microbiome can rapidly respond to altered diet, potentially 
facilitating the diversity of human dietary lifestyles 
Faecal concentration of SCFAs from 
carbohydrate (a) and amino acid (b) 
Animal-based diets decreases diversity 
Turnbaugh et al Nature 2013 
fermentation
We are what we fed them…? 
How strong is the science yet? 
‘our gastrointestinal tract is not only the body's most under-appreciated organ, 
but "the brain's most important adviser”’.
Health and disease 
Changes in gut microbiota composition and metabolism 
Nature Reviews Endocrinology 10, 74–76 (2014)
Introduction of metagenomic tools into clinical practice 
is facing major technical as well as biological obstacles 
 long analysis times, 
 evolving definitions of 
reference microbiota, 
 missing standards of 
analysis methods, 
algorithms, and 
databases, 
 lack of well-defined 
physiological ranges, and 
 missing evidence for 
cause–effect relationships. 
Ingeborg Klymiuk, Christoph Högenauer, Bettina Halwachs, Gerhard G. Thallinger, W. Florian Fricke, Christoph Steininger. 
A Physicians' Wish List for the Clinical Application of Intestinal Metagenomics 2014 DOI: 10.1371/journal.pmed.1001627
Synthesis of short chain fatty 
acids (SCFAs) by commensal 
bacteria and regulation of 
immunity by SCFAs 
Dietary 
Fibres
Role of dietary fibres in the colon 
• Differential regulation of genes involved in metabolic, 
energy-generating and oxidative processes & those 
involved in adhesion dynamics and signalling by different 
dietary fibres 
• Strongly linked to certain butyrate producers 
• Because of different fermentation behaviour fibres will 
have a diverse location-specific impact 
• So not ‘one fibre fits all’: Diverse food patterns are 
recommended to keep our guts flexible and healthy!
Gradients are essential for immuno-metabolic health 
Distribution of environmental factors along the length of the intestine
Signalling role of SCFA gradients in the gut/colon
Gradients regulate organ capacity and plasticity 
Nutrients 
Bioactives 
Metabolism 
SCFAs 
Microbiota 
Immunity
Our topics for the future 
• Molecular nutrition of plant food components with 
a specific focus on immuno-metabolism in the 
small intestine (UEA Med PhD) 
• Impact of plant food bioactives for the gut-brain 
axis (UEA Med RF) 
• Implication of SIRT1 function during cholestatic 
liver disease and cirrhosis (IFR RF & PhD) 
• From Nutrigenomics to Systems Nutrition – 
Systems integration of nutritional Omics data & 
translation from mice to humans (UEA/TGAG RF)
Future plans – more specific 
• Impact of gut sensing mechanisms of nutrition-related 
gradients for health and disease 
• Role of non-coding RNAs in the regulation of immuno-metabolism 
in the gut 
• Role of liver bile secretion and bile salts for small intestinal 
function 
• Role of the microbiota (endogenous or food-borne) in the 
small intestine 
– Impact on bioavailability of food bioactives 
– Impact on nutrient deficiencies & liver diseases 
• ‘Google Map of the Gut’: Improved resolution of the 
regulation of intestinal metabolic pathways
Genomics Data 
KEGG/GO 
pathways 
Functional 
Epigenetic 
regulation 
Knowledge Base 
Analytical Tools 
(R and Bioconductor) 
Single 
Cell Data 
Text Mining 
Interaction 
Networks 
Transcriptomics 
Metabolomics 
“Multi”Omics 
Epigenomics 
(incl. miRNA) 
Microbiome 
Genome 
analysis 
Transcription 
factor analysis 
New functional knowledge 
New physiological understanding 
New testable hypothesis 
Statistical 
Analysis 
Machine 
learning 
Visualization 
Gut- 
Microbe- 
Dietome 
Nutrigenomics: 
Big Data for 
Nutritional Science
FAHA: Food and Immuno-Metabolic Health Alliance 
Plant Foods 
(JIC/IFR/UEA) 
Human Nutrition 
(UEA/IFR/NNUH) 
Molecular 
Nutrition 
(UEA/IFR/JIC) 
Gut-Food- 
Microbe 
Interaction 
(IFR/UEA) 
Food-borne 
pathogens in the 
gut (IFR/UEA) 
Gut Mucosal 
Immunity 
(IFR/UEA) 
Network analysis 
& Systems 
integration 
(TGAG/UEA/IFR) 
Stem cells & 
organ memory 
(IFR/UEA) 
The impact of the 
gut for systemic 
diseases 
(UEA/NNUH/IFR) 
Human Gut 
(Patho)biology 
(NNUH/UEA/IFR)
Using Nutrigenomics and Systems Nutrition 
 To define the mechanistic framework of nutrition (evidence-based 
nutrition); 
 To stratify cohorts (participants) for intervention studies by using 
individual Omics-data (e.g. genotype, epigenome, microbiome, 
‘metabotype’); 
 To quantify the nutritional needs for optimized fitness at different life 
stages (“personalized” health); 
 To improve early diagnostics of immuno-metabolic disorders; 
 To support the development of “smart healthy food patterns” for 
modern mankind (healthy, tasty, sustainable, affordable); 
 To enable the transition of nutritional science to nutritional science 2.0.
Take home message 
A new systems nutrition approach is essential to understand causal 
relationships between food patterns and organ and systemic health => 
next-generation nutritional sciences. 
"Eat food, not too much, mostly plants”. Diverse food patterns (calories 
& composition) will keep our body flexible & healthy: “genetic richness” 
is an essential feature of health. 
A healthy gut is an essential gatekeeper for a human health. 
We need a comprehensive understanding of the host-microbe-food 
interactions indispensable for the development of more healthy modern 
foods and improved (customized) therapies.
Thank you very much!

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Inaugural lecture Norwich UEA 14 oct 2014

  • 1. You are what you eat - more than a gut feeling Michael Müller Professor of Nutrigenomics & Systems Nutrition Norwich Medical School
  • 2. You are what you eat, have eaten, host & what you fed them 2 Meals/day, work as long as possible & embrace challenges Walter Breuning (1896 – 2011, aged 114 years, 205 days) (Breuning was also a lifelong cigar smoker, but quit in 1999 when he was 103 because it became too expensive)
  • 3. “You are what you eat, have eaten & host” Germany Chad UK Ecuador
  • 4. The non-western & western reality: The challenges of non-communicable diseases
  • 5. Non-communicable diseases are complex “Too much non-resolving metabolic & pro-inflammatory stress” Non-communicable diseases are caused by chronic organ overload & dysregulation
  • 6. Chronic organ overload Simplified endocrinology of “too much” Too much sat. fat / carbs Too much sat. fat Too much fructose/ sat. fat Too much glucose/ sat. fat No exercise & too much glucose / sat. fat Too much pro-inflammatory stress Metabolic Syndrome ‘Systemic Disease’ Chronic non-resolving pro-inflammatory systemic stress Misbalanced secretion of Enterokines Adipokines Hepatokines Insulin & … Myokines Cytokines
  • 7. % Energy 100 50 0 Our “paleolithic” genes + modern diets Paleolithic era Low-fat meat Chicken Eggs Fish Fruits Vegetables (carrots) Nuts Honey % Energy 100 50 0 Grain Milk/-products Isolated Carbs Isolated Fat/Oil Alcohol Meat Chicken Fish Fruits Vegetables Beans 1.200.000 Generations between feast en famine Modern Times 3-4 Generations in energy abundance Real foods with ‘challenges’ “Safe, processed” foods = Less challenges
  • 8. “A state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.” WHO 1948 ‘‘The states of health or disease are the expressions of the success or failure experienced by the organism in its efforts to respond adaptively to environmental challenges’’ Rene Dubos, 1965 Optimized ability of an individual to adapt to immuno-metabolic challenges (2014) What is “Health as the ability to adapt and to self manage” BMJ 2011
  • 9. “We are what we eat, have eaten and what we host” 4Rs: Received, Recorded, Remembered & Revealed © Prof. John Mathers
  • 10. No pain, no gain The molecular basis of adaptation
  • 11. Metabolic homeostasis is regulated by nutrient sensors Ronald M. Evans , David J. Mangelsdorf Nuclear Receptors, RXR, and the Big Bang Cell, Volume 157, Issue 1, 2014, 255 - 266
  • 12. Understanding Nutrition: Identifying the mechanisms involved in the regulation of chromatin activity and gene transcription Impact on metabolic capacity & health of organs & the epigenetic memory Transgenic mice (e.g. k.o. for NRF2, HIF1, AHR, PPARs etc) How can we use our genomes in a more optimal way with healthy nutrition & lifestyles?
  • 13. Nutrient-sensing transcription factors are linking cellular biology to systems biology Liver PPAR Heart Intestine small intestine 0 25 50 75 100 heart liver kidney skeletal muscle brain ovary spleen colon esophagus lung adipose thyroid cervix testes prostate bladder thymus trachea placenta % % % % Pnliprp2 , Pnliprp1, Mgll, Lipe, Lipa, Pla2g6, Pnpla2, Pnpla8, Daglb, Ces1, Ces3 TAG (re)-synthesis Chylomicron assembly & secretion Apolipoproteins & related Fatty acid transport & binding Mitochondrial, microsomal, peroxisomal fatty acid oxidation Ketone body synthesis Intestinal lipases & phospholipases Fat/Cd36, Slc27a2, Slc27a4, Acsl1, Acsl3, Acsl5, Fabp2, Fabp1, Scarb2, Scarb1 Gpat1, Mogat2, Dgat1, Dgat2, Gpat3, Agpat3 Mttp, Stx5a, Vti1a, Bet1, Sar1a Apob, Apoa1 , Apoa2, Angptl4, Apoa4, Apoc2, Vldlr, Apoc3, Apoe, Apol3, Apool Acaa2, Acad10, Acad8, Acad9, Acadl, Acadm, Acads, Acadsb, Acadvl, Acot10, Acot2, Acot9, Aldh9a1, Cpt1a, Cpt2, Crat, Dci, Decr1, Hadha, Hadhb, Hibch, Slc22a5, Slc25a20, Aldh3a2, Cyp4a10, Abcd3, Acaa1a, Acaa1b, Acot3, Acot4, Acot5, Acot8, Acox1, Acox2, Crot, Decr2, Ech1, Ehhadh, Hsd17b4, Peci, Pecr, Ppara Acat1, Hmgcl, Hmgcs2 P P A R α
  • 14. Context-dependent gene regulation by the nutrient-sensing transcription factor PPARa WY Fibrate “Drug” Liver Intestine DHA PUFA “Food”
  • 15. Higher resolution biology: We need a google map of metabolic pathways Here we are
  • 16. A systems nutrition view of health & disease de Wit NJ, Afman LA, Mensink M, Müller M Phenotyping the effect of diet on non-alcoholic fatty liver disease J Hepatol 2012 .
  • 17. A systems view on the GUT
  • 18. Response to the intestine to different doses of dietary fat De Wit et al Plos ONE 2011
  • 19. Study to show metabolic plasticity of the gut Dose-dependent effects of dietary fat on development of obesity in relation to intestinal differential gene expression in C57BL/6J mice De Wit et al Plos ONE 2011
  • 20. Robust & concentration dependent effects in small intestine Differentially regulated intestinal genes by a high fat diet C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 De Wit et al Plos ONE 2011
  • 21. Cellular localization and specific lipid metabolism-related function of fat-dose dependently regulated genes De Wit et al Plos ONE 2011
  • 22. Do not overload organs C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 45% FAT 10% FAT 40 cm 4 cm chronically De Wit et al Plos ONE 2011
  • 23. Is there a difference between dietary fats in overloading the intestinal capacity ? Yes a High Fat Palm Oil-diet reduced microbial diversity and increased the Firmicutes-to-Bacteroidetes ratio De Wit et al AmJPhysiol 2012
  • 24. Do not chronically overload your organs • Saturated fat (but not or to a less extent unsaturated fat) stimulates obesity and the development of fatty liver disease and affects gut microbiota composition & diversity by an enhanced overflow of dietary fat to the distal intestine. • Unsaturated fats are more effectively taken up by the small intestine, likely by more efficiently activating nutrient sensing systems (PPARs) and thereby contributing to the prevention of organ overload & the development of early pathology (e.g. NASH). Food Colon
  • 25. Chow LFD HFD You are what you eat? Impact of different diets on the mouse gut Macronutrient composition Chow LF HF Protein % 24 20 20 Fat % 6 10 45 C16:0 1.2 2.8 18.7 C18:0 0 0.4 1.8 C18:1 2.2 3.2 17.4 C18:2 2.6 3.6 7.1 CHO % 64 70 35 Sugar 27 27 Starch 42 7 Fiber 4 1 1 Nitrogen-free extract 60 Ash % 6 Total 100 100 100
  • 26. Dietary impact on the activation of the AhR essential for the gut immune system HF-Chow HF-LF Chow-LF 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 AHR activation 11622_at Ahr Detoxification 13076_at Cyp1a1 14858_at Gsta2 14859_at Gsta3 14862_at Gstm1 18104_at Nqo1 Inflammation (ILCs and IELs) 19885_at Rorc (ILC) 12501_at Cd3e (IEL) 12502_at Cd3g (IEL) 12525_at Cd8a (IEL) 20302_at Ccl3 (IEL) 20304_at Ccl5 (IEL) 432729_at Tcrg-C (IEL) 17067_at Ly6c1 (IEL, type a) 16636_at Klra5 (IEL, type b) 12504_at Cd4 (T helper) 12475_at Cd14 (Monocytes) 12478_at Cd19 (B cells)
  • 27. "Eat food, not too much, mostly plants"
  • 28. The gut microbiome can rapidly respond to altered diet, potentially facilitating the diversity of human dietary lifestyles Faecal concentration of SCFAs from carbohydrate (a) and amino acid (b) Animal-based diets decreases diversity Turnbaugh et al Nature 2013 fermentation
  • 29. We are what we fed them…? How strong is the science yet? ‘our gastrointestinal tract is not only the body's most under-appreciated organ, but "the brain's most important adviser”’.
  • 30. Health and disease Changes in gut microbiota composition and metabolism Nature Reviews Endocrinology 10, 74–76 (2014)
  • 31. Introduction of metagenomic tools into clinical practice is facing major technical as well as biological obstacles  long analysis times,  evolving definitions of reference microbiota,  missing standards of analysis methods, algorithms, and databases,  lack of well-defined physiological ranges, and  missing evidence for cause–effect relationships. Ingeborg Klymiuk, Christoph Högenauer, Bettina Halwachs, Gerhard G. Thallinger, W. Florian Fricke, Christoph Steininger. A Physicians' Wish List for the Clinical Application of Intestinal Metagenomics 2014 DOI: 10.1371/journal.pmed.1001627
  • 32. Synthesis of short chain fatty acids (SCFAs) by commensal bacteria and regulation of immunity by SCFAs Dietary Fibres
  • 33. Role of dietary fibres in the colon • Differential regulation of genes involved in metabolic, energy-generating and oxidative processes & those involved in adhesion dynamics and signalling by different dietary fibres • Strongly linked to certain butyrate producers • Because of different fermentation behaviour fibres will have a diverse location-specific impact • So not ‘one fibre fits all’: Diverse food patterns are recommended to keep our guts flexible and healthy!
  • 34. Gradients are essential for immuno-metabolic health Distribution of environmental factors along the length of the intestine
  • 35. Signalling role of SCFA gradients in the gut/colon
  • 36. Gradients regulate organ capacity and plasticity Nutrients Bioactives Metabolism SCFAs Microbiota Immunity
  • 37. Our topics for the future • Molecular nutrition of plant food components with a specific focus on immuno-metabolism in the small intestine (UEA Med PhD) • Impact of plant food bioactives for the gut-brain axis (UEA Med RF) • Implication of SIRT1 function during cholestatic liver disease and cirrhosis (IFR RF & PhD) • From Nutrigenomics to Systems Nutrition – Systems integration of nutritional Omics data & translation from mice to humans (UEA/TGAG RF)
  • 38. Future plans – more specific • Impact of gut sensing mechanisms of nutrition-related gradients for health and disease • Role of non-coding RNAs in the regulation of immuno-metabolism in the gut • Role of liver bile secretion and bile salts for small intestinal function • Role of the microbiota (endogenous or food-borne) in the small intestine – Impact on bioavailability of food bioactives – Impact on nutrient deficiencies & liver diseases • ‘Google Map of the Gut’: Improved resolution of the regulation of intestinal metabolic pathways
  • 39. Genomics Data KEGG/GO pathways Functional Epigenetic regulation Knowledge Base Analytical Tools (R and Bioconductor) Single Cell Data Text Mining Interaction Networks Transcriptomics Metabolomics “Multi”Omics Epigenomics (incl. miRNA) Microbiome Genome analysis Transcription factor analysis New functional knowledge New physiological understanding New testable hypothesis Statistical Analysis Machine learning Visualization Gut- Microbe- Dietome Nutrigenomics: Big Data for Nutritional Science
  • 40. FAHA: Food and Immuno-Metabolic Health Alliance Plant Foods (JIC/IFR/UEA) Human Nutrition (UEA/IFR/NNUH) Molecular Nutrition (UEA/IFR/JIC) Gut-Food- Microbe Interaction (IFR/UEA) Food-borne pathogens in the gut (IFR/UEA) Gut Mucosal Immunity (IFR/UEA) Network analysis & Systems integration (TGAG/UEA/IFR) Stem cells & organ memory (IFR/UEA) The impact of the gut for systemic diseases (UEA/NNUH/IFR) Human Gut (Patho)biology (NNUH/UEA/IFR)
  • 41. Using Nutrigenomics and Systems Nutrition  To define the mechanistic framework of nutrition (evidence-based nutrition);  To stratify cohorts (participants) for intervention studies by using individual Omics-data (e.g. genotype, epigenome, microbiome, ‘metabotype’);  To quantify the nutritional needs for optimized fitness at different life stages (“personalized” health);  To improve early diagnostics of immuno-metabolic disorders;  To support the development of “smart healthy food patterns” for modern mankind (healthy, tasty, sustainable, affordable);  To enable the transition of nutritional science to nutritional science 2.0.
  • 42. Take home message A new systems nutrition approach is essential to understand causal relationships between food patterns and organ and systemic health => next-generation nutritional sciences. "Eat food, not too much, mostly plants”. Diverse food patterns (calories & composition) will keep our body flexible & healthy: “genetic richness” is an essential feature of health. A healthy gut is an essential gatekeeper for a human health. We need a comprehensive understanding of the host-microbe-food interactions indispensable for the development of more healthy modern foods and improved (customized) therapies.
  • 43. Thank you very much!

Notas del editor

  1. Alnwick…..Pronounced: Annick garden
  2. The gut microbiota of healthy individuals is characterized by an abundance of specific genes (that is, HGC) or specific bacteria (for example, Akkermansia) or metabolites, such as SCFAs, that interfere with the host gut-barrier function and metabolism. Obesity and type 2 diabetes mellitus are characterized by a lower abundance of specific bacteria, SCFAs and LGC, thereby leading to gut-barrier dysfunction, low-grade inflammation and altered glucose, lipid and energy homeostasis. Abbreviations: Akk, Akkermansia; HGC, high gene count; LGC, low gene count; SCFA, short-chain fatty acids.