The use of molecular nutrition and nutrigenomics research to understand metabolic plasticity and health

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The use of molecular nutrition and nutrigenomics research to understand metabolic plasticity and health Michael Müller Professor of Nutrigenomics & Systems Nutrition @nutrigenomics

You are what you eat, have eaten, host & how you lived 2 Meals/day, work as long as possible & embrace challenges Walter Breuning (1896 2011, aged 114 years, 205 days) (But Breuning was also a lifelong cigar smoker, but quit in 1999 when he was 103 because it became too expensive)

Genes and Nutrition => Phenotype It is not that easy

Our paleolithic genes + modern diets % Energy 100 Paleolithic era 1.200.000 Generations between feast en famine Low-fat meat Chicken Eggs Fish % Energy 100 Modern Times 3-4 Generations in energy abundance Grain Milk/-products Isolated Carbs Isolated Fat/Oil Alcohol 50 0 Real Foods with challenges Fruits Vegetables (carrots) Nuts Honey 50 0 Meat Chicken Fish Fruits Vegetables Beans Processed foods: Less challenges

Nutrigenomics based quantitative analysis of the nutrition-related genotype-phenotype relationship Phenotype Microbiome Metabolome Nutrition Foods Physical activity Proteome Transcriptome Epigenome Genotype

Why using Nutrigenomics and Systems Nutrition To define the mechanistic framework of nutrition (evidencebased 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.

No pain, no gain The molecular basis of adaptation

Expression heatmapping of PPAR target genes & inflammatory genes in human PBMCs after MUFA consumption Expression changes are indicated as individual signal-log-ratios (SLR) for all subjects (n=32) after SFA and MUFA consumption Afman et al

Heatmap ping genes changing in PBMCs from an old profile to a younger profile upon CR Afman et al

Gene expression analysis of biopsies from human skeletal muscles from young and elderly subjects Partial Least Squares Discriminant Analysis

What do we know about the mechanisms? Healthy food (pattern)s have a large impact on our gene expression & phenotype (Micro & Macro) Nutrients High in Mono & (N-3) polyunsaturated fatty acids Sufficient high-quality protein (optimal macro-nutrient ratio) Vitamins (e.g. vitamin A & D), minerals (e.g. Zn) Microbiota (from foods) Vegetarians / omnivores / carnivores => different microbiota Raw or fermented food (e.g. diary, cheese) consumption => foodborne microbiota Dietary diversity => microbiota diversity & genetic richness Plant food components Fibers or secondary plant metabolites (e.g. resveratrol, glucosinolates) e.g. bitter, toxic = healthy Less foods/calories & diet-related stress (caloric restriction) Chromatin exercise & other epigenetic mechanisms Cell exercise (e.g. via autophagy)

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?

PPARa a master regulator in hepatic lipid metabolism

Context-dependent gene regulation by the nutrient-sensing transcription factor PPARa WY Fibrate Drug Liver Intestine DHA PUFA Food

A systems view on the GUT

Dietary impact on the activation of the AhR essential for the gut immune system AHR activation 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 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 12475_at 12478_at Cd4 (T helper) Cd14 (Monocytes) Cd19 (B cells)

Chronic overload of organs leads to metabolic diseases 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

Synthesis of short chain fatty acids (SCFAs) by commensal bacteria and regulation of immunity by SCFAs Dietary Fibres

Role of dietary fibres on gut function 10 days microbiota SCFA INULIN, FOS, GuarGum, NAXUS (Arabinoxylan), Resistant Starch, Ctrl (Starch)

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 dietary fibres. Strongly linked to Clostridium cluster XIVa bacteria (butyrate producers) & likely governed by the transcription factor PPARgamma (MolCelBiol 2013). 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!

FAHA: Food and Immuno-Metabolic Health Alliance Network analysis & Systems integration (TGAG/UEA/IFR) Plant Foods (JIC/IFR/UEA) Human Nutrition (UEA/IFR/NNUH) Stem cells & organ memory (IFR/UEA) Molecular Nutrition (UEA/IFR/JIC) The impact of the gut for systemic diseases (UEA/NNUH/IFR) Gut-Food- Microbe Interaction (IFR/UEA) Human Gut (Patho)biology (NNUH/UEA/IFR) Gut Mucosal Immunity (IFR/UEA) Food-borne pathogens in the gut (IFR/UEA)

Gradients regulate organ capacity and plasticity Nutrients Bioactives SCFAs Microbiota Metabolism Immunity