nutrigenomics
DESCRIPTION
Nutrigenomics is the science that examines the response of individuals to food compounds using post-genomic and related technologies (e.g. genomics, transcriptomics, proteomics, metabol/nomic etc.). The long-term aim of nutrigenomics is to understand how the whole body responds to real foods using an integrated approach termed 'systems biology'. The huge advantage in this approach is that the studies can examine people (i.e. populations, sub-populations - based on genes or disease - and individuals), food, life-stage and life-style without preconceived ideas.TRANSCRIPT
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More Sachin C.
NUTRIGENOMICS
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"If we could give every individual the right amount of nourishment and exercise, not too little and not too much, we would have found the safest way to health.”
"Leave your drugs in the chemist's pot if you can heal the patient with food." - Hippocrates
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Balanced Diet Pyramid
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Family Health at Risk
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Nutrients acts as dietary signals
Energy homeostasis
Energy homeostasis
Nutrient absorptionNutrient
absorption
Cell proliferation
Cell proliferation
Nutritional factors
Gene transcription
Transcription factors
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What are dietary signatures/profiles? Patterns of gene expression, protein expression and metabolite production in response to particular nutrients or nutritional regimes can be viewed as 'dietary signatures
How can these dietary signatures been used in Nutrigenomics research? Nutrigenomics seeks to examine these dietary signatures in specific cells, tissues and organisms, and to understand how nutrition influences homeostasis. Dietary signatures can be used to identify (early) molecular biomarkers
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Nutritional Genomics
• Nutrigenomics studies modulating effects of nutrients on gene structure and expression; related science of Nutrigenetics researches patients’ unique responses-caused by specific genetic variations-to macro- and micronutrients
(Desiere, 2004)
• “… the interface between the nutritional environment
and cellular/ genetic processes” (Kaput and Rodriguez, 2004)
• Next frontier in the post genomic age
• Off shoot of HGP
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Health effects of the nutrient and non-nutrient components of food relates specific molecular interactions
(Ommen et al., 2004)
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Two sub definitions
• Two sides of a coin
• Dynamic cause–effect relationship between nutrition and the human genome
(Mutch et al., 2005)(Mutch et al., 2005)
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Nutrigenomics Nutrigenetics
Aims to study the genome- wide influence of nutrition
Concerned with the functional effect of nutrient or non-nutrient food components on the genome, transcriptome, proteome and
metabolome
(Muller and Kersten, 2003)
Concerned with how genetic variation determines an individual’s disease risk, nutrient requirements, metabolic response and responsiveness to a bioactive dietary components or nutritional therapy
(DeBusk et al., 2005)
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Two-way interaction between nutrition and the human genome
(Roche, 2004)(Roche, 2004)
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The direct and indirect effects of nutrients
(Muller and Kersten, 2003)(Muller and Kersten, 2003)
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Challenge
• Common, polygenic, diet-related diseases which are composite of multiple genetic variants interacting with multiple environmental factors
• To develop and apply a robust nutritional genomics research approach that is sensitive enough to take account of both genetic heterogeneity and diverse nutrient exposure
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Nutrigenomics – A Systems Biology Approach
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Bioactive food components influence genetic and epigenetic events
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Dietary factors and the regulation of DNA methylation
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“omics” of nutrition to identify how dietary factors contribute to phenotype
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Implications of approach
• New way of dealing with nutrigenomics data aims to integrate all of the gene expression and/or proteomic data and present this information as a ‘complete’ biological process
• Multivariate analytical approach
• Key to our understanding of nutrition and health
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Health Effect of Dietary FattyAcids and TFs
• Fatty acids had important metabolic effects with respect to energy homeostasis, lipoprotein metabolism, glucose homeostasis and inflammation
• Potent cellular molecules that interact with several transcription factors, which in turn explains the diverse health effect of altered dietary fat intake
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Lipid sensitive transcription factors
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Cross talk between lipid sensitive TFs
inhibits
LXR binding
regulation
Expression of SREBP-1c & other downstream lipogenic genes
regulationregulationregulationregulationregulation
PPARα activation
regulationregulationregulationregulation
(Clarke et al., 1999)(Clarke et al., 1999)
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Metabolomics – The Newest Tool
• Utilizes analytical chemistry technologies, 1) NMR
2) MS
• Help Capture Data On Complete Metabolome
• May provide the comprehensive biomarker of multiple metabolites to asses nutrient status metabolic responses and disease predispositions
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Metabolism approach
• n-6 PUFA and n-3 PUFA interventions
• Hepatic transcriptome and lipid metabolome completed
• Diets supplemented with AA or EPA or fish oil
• Studied down-regulation of hepatic SCD1 and not SCD2 or SCD3
• SCD1 potential therapeutic target to protect against CVD and diet-induced obesity
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Nutrigenetics – Individual GeneticVariability And Responsiveness
• Human genome 99.9% identical
• 0.1% variation principally due to SNPs, responsible for 90% variation among individuals
• Functional and Non-functional SNPs
• Gene-Nutrient interaction concept important
• Standard “one-size-fits-all” strategy is no longer considered to be good practice
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Interrelationships Among Specific Nutrients,Genes and Health Outcomes
• Green Tea (Camellia sinensis)- Potent antioxidants-prevent certain cancers and
heart disease- Some women appear to show a reduction in
breast cancer- Have gene variant that produces less active form
of gene enzyme COMT inactivating carcinogenic compounds
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• Curcumin: -yellow pigment from turmeric (Curcuma longa) - basic ingredient in Curries -produce suppressing genes for enzymes that produce inflammatory prostaglandins e.g. cyclooxygenase-2 (COX-2)• Prostaglandins linked to colon cancer, heart
disease, arthritis, and Alzheimer’s disease
• “curry-eating people of India have the world’s lowest incidence of Alzheimer’s disease”
- Sally A. Frautschy, Professor of Neurology,
University of California
Contd…
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PERSONALIZED NUTRITION
Senior Scientist Jose OrdovasTufts' Human Nutrition
Research Center on Aging
• Pioneer worker in Nutrigenomics
• Talks about virtual lab
• Personalized nutrition for everyone in cost effective manner and behavioral guidelines for each individual depending on ones health status to reduce disease predisposition
• To be cautious regarding interpretations we need to move step-by-step like solving puzzle to create big picture
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Step 1Step 1
Collecting (patient) informationCollecting (patient) information
• Physical examinationPhysical examination
• QuestionnaireQuestionnaireDietDietDisease historyDisease historyLifestyleLifestyle
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Step 2Step 2
Looking for genetic differences that mirror physical Looking for genetic differences that mirror physical differences in patientsdifferences in patients
– PCRPCR– Gel electrophoresisGel electrophoresis– DNA sequencingDNA sequencing
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Step 3Step 3
Examining the foodsExamining the foods
You can separate the different chemicals that make You can separate the different chemicals that make up a food using their different properties by:up a food using their different properties by:
– Different solubilityDifferent solubility– ChromatographyChromatography
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Step 4Step 4
Test the effect of the food components on cellsTest the effect of the food components on cells
• Cell lines (luminescence)Cell lines (luminescence)
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Step 5Step 5
Test the food components of the cells Test the food components of the cells in vivoin vivo
• Animal models (micro-arrays)Animal models (micro-arrays)
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What happens next?What happens next?
• Make individualised dietary recommendations to Make individualised dietary recommendations to patients?patients?
• Produce dietary supplements to enhance individual Produce dietary supplements to enhance individual genetic potential?genetic potential?
• Produce dietary supplements to suppress gene Produce dietary supplements to suppress gene activity?activity?
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Commercialization
• http://www.mycellf.com/MyCellfProgram.aspx
• Sciona Inc. (www.sciona.com)• Genelex Inc. (www.genelex.com)
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CASE STUDIES
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INTRODUCTION
• (PPARs), α and Ƴ ligand-activated transcriptional factors regulating lipid and lipoprotein metabolism; glucose homeostasis, and inflammation
• PPAR α- Expressed in liver -promotes microsomal ω-oxidation and peroxisomal β-
oxidation of Fatty acids Ligands- Fatty acids and FFs• PPAR Ƴ- Expressed in Adipose tissue -Ligands- UFAs• Isohumulones generated from humulones in Hops imparting bitter
taste to beer• Dual Agonists of both PPAR TFs (Yajimi et al.,
2004)
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Research Methodology
• Materials: IHE by extracting hops with supercritical co2;
isomerised in alkaline condition • Animals and Diets:
-C57BL/6NCrj and PPAR α-/- /129S4/SvJae mice
-AIN-76A Diet• DNA Microarray analysis:
-RNA extraction
-cDNA labelling Cy3 or Cy5• QPCR: primers designed with primer3 software• Statistical Analysis: One way ANOVA
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Results and Discussion
Biochemical parameters in male mice
Effect of IHE and FF :
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Plasma Total cholesterol HDL cholesterol
Triglycerides Non esterified FFA
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Transcriptional profiling and QPCR analyses in male C57BL/6N mice
• 8245 genes analysed out of which approx.1200 shown enough signal intensity
• IHE-20 and FF-100 genes: 2 fold or more expression
• No significant difference when diet supplemented
with Cholesterol
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Dose-dependent induction of representative PPARα target genes in liver, by IHE
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Gender differences in IHE-induced hepatic gene expression.
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Conclusion
• Data showed IHE increased the expression of hepatic PPARα target genes
• Effect similar to FF• IHE modulated blood lipid status by
activating PPARα• So IHE may be potentially therapeutic for
preventing T2DM and Atherosclerosis• Beer consumption might actually help to
prevent alcoholic liver disease ‼
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Introduction
• UVA exposure cause skin aging by singlet oxygen (1O2)-dependent pathways
• Gene regulation through TF AP-2.• β-carotene (βC) can protect skin since:
1. 1O2 quencher
2. scavenges ROS
3. Mildly reduces sunburns• HaCaT human keratinocytes used.(2 d, 1.5 µM)
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Research Methodology
• βC and UVA Treatment of keratinocytes• Affymetrix GeneChip Analysis:
Five independent, factorially designed cell irradiation experiments analyzed by microarray hybridization.
• QRT-PCR to confirm key gene regulations in three independent cell irradiation experiments at different βC concentrations.(0.5, 1.5 and 3 µM)
• Apoptosis Assay : Caspase 3-activity 5 h after irradiation using CaspACE Assay System
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Results and Discussion
• Cellular uptake of βC confirmed by HPLC• 1458 genes significantly regulated by at least one
treatment:
a) βC regulated 381 genes
b) UVA influenced 568 genes
c) UVA / βC regulated 1142 genes
d) not regulated by single treatment 610 genes
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βC effects in unirradiated keratinocytes
Key process-skin aging
Marker genes
Receptor innate immunity
Differential regulation
Shown RA-independent effects
Genes up regulated
Genes down regulated
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Down regulation
βC concentration dependently induced caspase-3 activity in
ultraviolet light A (UVA)-irradiated keratinocytes.
βC promoted keratinocyte differentiation but not
terminal steps
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Ultraviolet light A (UVA) effects in keratinocytes
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Differentially regulated proinflammatory genes
Enhanced tanning supplemented UVA
βC effects in UVA-irradiated keratinocytes
Quenched by βC
βC supplementation may indeed reduce wrinkling. (Battistutta et al., 2000)
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Contd…
• RA target genes down regulated by UVA• Further promoted differentiation in irradiated
keratinocytes• This may render combined UVA / βC treatment a
promising therapy for skin disorders associated with disturbed differentiation. e.g. Psoriasis.
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Proposed relationship of the modes of action of β -carotene to its influence on ultraviolet
light A-induced biological processes.
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Conclusion
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Discussion