The link between diet and health is well established, but renewed interest in
which dietary components are biologically activeand how they exert
their effects is being fuelled by the developmentof nutritional
genomics. Nutritional genomics is the applicationof high throughput
functional genomic technologies in nutritionresearch. These
technologies can be integrated with databasesof genomic sequences1
and inter-individual genetic variability,2enabling the process of gene expression to be studied for many
thousands of different genes in parallel. Such techniques can
facilitate the definition of optimal nutrition at the level of
populations, particular groups, and individuals. This in turnshould
promote the development of food derived treatments andfuntionally
enhanced foods to improvehealth.
This review discusses both the science and its potential.
Summary points
Diet has a substantial impact on chronic disease and health, and
functional genomic techniques could allow the bioactivities of food
constituents to be defined
Definition of these activities will allow improvement in health through
dietary modification and fortification, novel foods, and "nutraceuticals"
Challenges lie in the optimal design of nutritional studies and in the
effective manipulation of the vast datasets generated
It is now possible to define gene polymorphisms that predispose
individuals to disease and modify nutritional requirements
Characterisation of such gene polymorphisms will enable targeting of
nutritional advice and treatment to "at risk" groups
This article is based on a review of the literature and our combined personal
experience of 19 years working in clinical andmolecular nutrition
research. It also draws on consensus viewsfor future challenges and
opportunities reached at a recent EUfunded workshop addressing
nutritional genomics, hosted by theInstitute of Food
Research.
Evidence that diet is a key environmental factor affecting the incidence of
many chronic diseases is overwhelming. 34 The precise extent of this contribution is
difficult to judge,but a reduction of 35% in the age standardised
incidence of cancerin the United States has been proposed to be
achievable via "practicabledietary means."5
Clearly, there is the potential for immensesocioeconomic benefit
through successful characterisation andexploitation of health
promoting factors in foods. The spectrumof the population able to
benefit from such research will dependon how the information is used
by scientists, the food industry,and policymakers.
How can nutritional genomics help to
achieve these goals?
The food we eat contains thousands of biologically active substances, many of
which may have the potential to provide substantialhealth benefits.
36 Indeed, several
food derived compoundssuchas sulphoraphane, curcumin, lycopene, and tea polyphenolsareamong the most promising chemopreventive agents being evaluated.7
The full extent of biologically active components in our diet is unknown, and
our understanding of their mechanisms of actionis even more limited.
Much of the available data has been derivedfrom in vitro studies
with purified compounds in forms and concentrationsto which the
tissues in our bodies may never be exposed. Whilethis work provides
a starting point, more physiologically relevantmodel systemsincluding
characterisation of the extent and rateof absorption, tissue
dispersal, and site specific targeting ofmetabolically relevant
compounds, and comprehensive studies oftime and dose effectsare
required to interpret the true potentialof these constituents.
Furthermore, nutrition research has traditionallyconcentrated on
single issues (such as reducing risk of cardiovasculardisease or
cancer) in "at risk" individuals, whereas what we needto address is
the question of all the possible effects of specificfood components
in a genetically heterogeneous population. Thisis especially
important for determining unintended risk as wellas intendedbenefit.
A range of technologies form the practical basis of nutritional genomics (fig
1).8-10 These are still largely
untested innutritional science, but their potential is underlined by
theirrapid adoption in disciplines such as pharmaceutical,
toxicological,and clinical research. As with these disciplines, the
main challengesfor nutritional genomics lie in the design of
meaningful studiesfor use of these techniques; the design of studies
capable ofdeciphering the complex interactions between individuals'
geneticdifferences, predisposition to disease, and compound-gene
interactions;and the integration and interrogation of the vast data
sets thatsuch studies will produce.
Fig 1. Schematic representation
of the steps involved in gene expression (centre), the stages at which
diet can modulate these processes (left), and the functional genomics
techniques used to analyse each stage (right)
Glossary of terms
DNA arraysAnalytical
tools for measuring the relative amounts of thousands of RNA species within
cellular or tissue samples. Sometimes called "transcriptomics," the
transcriptome being the complete complement of RNA species produced from the
genome of an organism
GenomicsStudy
of all the nucleotide sequences, including structural genes, regulatory
sequences, and non-coding DNA segments, in the chromosomes of an organism
Functional genomicsApplication
of global (genome-wide or system-wide) experimental approaches to assess
gene function
Metabolomics (metabonomics)Application
of system-wide techniques (normally based on nuclear magnetic resonance) for
metabolic profiling. Some use the term metabolomics to cover analyses in
both simple (cellular) and complex (tissue or whole body) systems. Others
distinguish between "metabolomics" studies in simple systems only and "metabonomics"
in complex systems
Nutritional genomicsApplication
of functional genomics approaches to nutrition research
ProteomicsStudy
of the complete complement of proteins that can be expressed within an
organism (a proteome). The commonest practical approach involves comparative
analysis of cellular or tissue protein profiles visualised by two
dimensional gel electrophoresis and analysed by mass spectrometry of
selected protein species
Single nucleotide polymorphism (SNP)Commonest
form of genetic variability in the human genome corresponding to a single
nucleotide substitution within a DNA sequence
Inter-individual genetic variation is a critical determinant of differences
in nutrient requirements. The commonest type ofgenetic variability
is the single nucleotide polymorphism, a singlebase substitution
within the DNA sequence. These occur roughlyonce every
1000-2000 nucleotides in the human genome.2
Polymorphismis the "quality of existing in several different forms."
It canbe the result of genetic predisposition or environmental
influence,or a combination of both. In broad terms this is the basis
forobserved variations in all life forms and individuals. Recentdevelopment of extensive genetic polymorphism databases and highthroughput genetic screening now make meaningful study of inter-individualvariation not only possible but also critical for the future of
nutrition and clinicalresearch.
Several genetic polymorphisms of importance to nutrition have been identified
(see table).11-16 For example, common
polymorphismsin genes that control folate metabolism have been
linked to conditionssuch as neural tube defects, Down's syndrome,
homocystineamia,and cancer. 1112 If the mechanisms by which these polymorphismsdisturb folate metabolism and alter disease risk can be elucidated,it should be possible to develop dietary or therapeutic strategiesfor "at risk" individuals to redress the balance. Polymorphisms
have also been identified in genes involved in lipid metabolismthat
are important in determining an individual's plasma low density
lipoprotein cholesterol concentration, a marker of cardiovascular
disease risk.15
Examples of known cellular process and known
genetic polymorphisms with direct consequences for nutrition
As more such links between polymorphisms and disease conditions are
characterised, the scope for targeting dietary informationand
recommendations to specific subpopulations will increase.However,
before committing ourselves to this approach, it is vitalthat we
consider the logistics and costs of routine genetic screeningfor
many genes, the provision of appropriate counselling, andpublic
attitudes and ethical issues associated with such screeningin
relation to, say, life insurance and familyplanning.
Furthermore, resolving the relative roles of gene-gene and gene-environment
interactions in polygenic diseases (disordersmodulated by multiple
genes and polymorphisms within them) isextremely challenging. With
osteoporosis, for example, twin andsibling studies suggest that
genetic factors are the main determinantof bone mineral density and
structure, accounting typically for50-85% of the phenotypic
variance, with environmental factorscontributing the rest.
1417 However,
although some gene polymorphismshave been linked to variations in
bone mineral density, theseassociations are still contentious.17
It seems likely that severalgenetic polymorphisms, each making a
relatively small contribution,interact to comprise the genetic
component associated with osteoporosis.Under such circumstances,
candidate gene studies, which seek tofind an association between
specific gene polymorphisms and markersof disease risk, lack power
and may give spurious results. Thebest strategies for resolving the
genetic and environmental contributorsto such polygenic disorders
are still unclear. 141718
Fortified and functional foods, dietary
supplements, and nutraceuticals
Fortified foods and functional foods are intended to supplement human
nutritional needs. Certain foods, such as breakfastcereals, are
already routinely fortified with vitamins and minerals,and there is
an ever increasing range of functionally enhancedfoods with alleged
health promotingeffects.
Nutraceuticals (or nutriceuticals) are bioactive natural compounds that have
health promoting or disease preventing properties.One example is the
antihypertensive effect of dietary peptidesderived from milk
protein, mediated by angiotensin convertingenzyme inhibition.19
Although epidemiological data and preclinicalstudies are promising,
clinical studies of the effect of thesemilk peptides on human blood
pressure have not yet been done.19It
is crucial that prospective clinical trials incorporate nutrigenomic
technologies, especially when comparing these nutritionally derived
peptides with synthetically produced angiotensin converting enzyme
inhibitors, because responses to the latter possibly depend ongene
polymorphism.20
People with osteoarthritis might benefit from nutraceuticals such as
glucosamine and chondroitin sulphate. A meta-analysisby McAlindon et
al and recent findings by Reginster et al suggestthat glucosamine
sulphate had disease modifying effects and ledto symptomatic
improvements. 2122
However, issues of studyquality and bias, true efficacy, and
toxicity continue to causeuncertainty. 2324 Further evidence is required from largerhigh quality clinicaltrials.
Although some clinical trials of nutraceuticals have shown encouraging
results, medical and scientific communities remainsceptical, partly
because of concerns about quality control andrigour of scientific
testing. Putative nutraceutical compoundsare found in a variety of
products from the food industry, herbaland dietary supplement
producers, pharmaceutical companies, andagribusiness companies.
Consequently, the potency and the purityof these agents can vary
substantially. Thus, although certainfood substances might qualify
for health claims if they meet therequirements of the UK Food
Standards Agency or the US Food andDrug Administration, they are not
as strictly regulated as drugs,which gives rise to concern about
routine long termuse.
The European Commission has adopted a proposal, arising from the white paper
on food safety of 14 January 2000, for a directiveon food
supplements. This will harmonise the rules for the saleand labelling
of vitamins and minerals as dietary supplements.These measures may
signal a first step to more comprehensive tighteningof legislation,
as it is suggested that future amendments couldbe made to cover
products containing other nutrients or ingredients.
Functional genomics techniques are ideal for elucidating the effects of novel
functional foods, dietary supplements, and nutraceuticalson global
gene expression and cell function without making assumptionsabout
what to look for in terms of risk. The same approaches arealso
directly applicable to the assessment of the safety of genetically
manipulatedfoods.
For innovative food products with health benefits to be successful, consumer
perception of such products must be positive.Products most likely to
succeed are new foods that look and tastegood and provide health
benefits that consumers understand anddesire. The only way to ensure
this is to involve consumers inproduct development. Marketing of new
food products with no clearbenefit to consumers or that fail to meet
expectations will bedetrimental for nutrition research and the food
industryalike.
The greatest potential for benefit from dietary modification is likely to be
in health maintenance, blocking or slowing theearly stages of
disease development. However, currently availablebiomarkers measure
parameters that represent steps too far alongthe disease process
(such as subclinical nutritional deficiencyor early disease
symptoms). Nutritional genomics provides themeans to develop
molecular biomarkers of early, pivotal changesbetween health
maintenance and diseaseprogression.
Two distinct approaches have been proposed to exploit this opportunity (fig
2). The first focuses on the disease state and
tracks back through the mechanism of development to identify the
earliest genes involved. These genes might then be used as targetsto
identify nutritional agents capable of modulating their expression.
The second approach starts with the healthy condition and examines
the effects of dietary components on global patterns of gene expressionwithout prejudice or expectation. Specific effects on patterns
of gene expression would provide the focus to seek links to disease
development processes. These approaches need not be mutually exclusiveand may be complementary, potentially meeting at the level of
the key early genes.
Fig 2. Schematic representation
of proposed chronic disease development processes and the alternative
nutritional genomics approaches that may be used to characterise them
Such work will be complicated by the fact that the natural components of
foods we already eat can have both beneficial andadverse effects.
These may impinge on quite different health ordisease processes and
at overlapping doses. For example, moderateto low intake of alcohol
is associated with a reduced risk ofheart disease but an increased
risk of cancer. New approachesfor determining maximal benefit and
minimal risk will be requiredto cope with such effects.
Additional educational
resources
Internet resources
SNP Consortium (http://snp.cshl.org)
provides background and information on single nucleotide polymorphisms for
biomedical research
Joint Health Claims Initiative (www.jhci.co.uk)
details its code of practice for health claims for food in Britain
US Food and Drug Administration Center for Food Safety and Applied
Nutrition. A food labelling guide (www.cfsan.fda.gov/dms/flg-6c.html)
provides details of the administration's approved list of health claims
for foods
BMJ archive
Aitman TJ. DNA microarrays in medical practice BMJ
2001;323:611-5
Friend SH. How DNA microarrays and expression profiling will affect
clinical practice. BMJ 1999;319:1306
Mathew C. Postgenomic technologies: hunting the genes for common
disorders. BMJ 2001;322:1031-4
Acknowledgments
Contributors: This article was conceived, designed, and written by RE and
TJO, who are guarantors for it. Professor Sue Southon assisted in its
preparation by providing information and editorial advice. The participants of
the recent workshop on "nutrigenomics," funded by the European Commission, DG
Research, contributed to the underlying concepts through their discussions at
the meeting.
International SNP Working Group. A map of human genome
sequence variation containing 1.42 million single nucleotide polymorphisms.
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