Focus: Nutrigenomics

Cover illustration: Nutrigenomics aims to identify the genes that influence the risk of diet-related diseases on a genomewide scale, and to understand the mechanisms that underlie these genetic predispositions. This BTJ special issue edited by Taesun Park features articles uncovering ‘dietary signatures’ associated with obesity and metabolic diseases. Images copyright: Yellow, green, and red bell peppers. © Photodisc, Microarray; © http://genomics.energy.gov     

Nutrigenomics and nutrigenetics

PURPOSE OF REVIEW: Nutritional genomics has tremendous potential to change the future of dietary guidelines and personal recommendations. Nutritional genomics covers nutrigenomics, which explores the effects of nutrients on the genome, proteome and metabolome, and nutrigenetics, the major goal of which is to elucidate the effect of genetic variation on the interaction between diet and disease. Nutrigenetics has been used for decades in certain rare monogenic diseases such as phenylketonuria, and it has the potential to provide a basis for personalized dietary recommendations based on the individual's genetic makeup in order to prevent common multifactorial disorders decades before their clinical manifestation. RECENT FINDINGS: Preliminary results regarding gene-diet interactions in cardiovascular diseases are for the most part inconclusive because of the limitations of current experimental designs. Success in this area will require the integration of various disciplines, and will require investigators to work on large population studies that are designed to investigate gene-environment interactions. SUMMARY: Based on the current knowledge, we anticipate that in the future we will be able to harness the information contained in our genomes to achieve successful aging using behavioral changes, with nutrition being the cornerstone of this endeavor.     

Evaluating the effectiveness of training strategies: performance goals and testing

The Public Health Service policy, Animal Welfare Act regulations, and the Guide for the Care and Use of Laboratory Animals all require that institutions provide training for personnel engaged in animal research. Most research facilities have developed training programs to meet these requirements but may not have developed ways of assessing the effectiveness of these programs. Omission of this critical activity often leads to training that is ineffective, inefficient, or unnecessary. Evaluating the effectiveness of biomedical research and animal care training should involve a combination of assessments of performance, competence and knowledge, and appropriate tests for each type of knowledge, used at appropriate time intervals. In this article, the hierarchical relationship between performance, competence, and knowledge is described. The discussion of cognitive and psychomotor knowledge includes the important distinction between declarative and procedural knowledge. Measurement of performance is described and can include a variety of indirect and direct measurement techniques. Each measurement option has its own profile of strengths and weaknesses in terms of measurement validity, reliability, and costs of development and delivery. It is important to understand the tradeoffs associated with each measurement option, and to make appropriate choices of measurement strategy based on these tradeoffs arrayed against considerations of frequency, criticality, difficulty of learning, logistics, and budget. The article concludes with an example of how these measurement strategies can be combined into a cost-effective assessment plan for a biomedical research facility.     

Sex,drugs and moral goals: reproductive strategies and views about recreational drugs

Humans, unlike most other species, show intense interest in the activities of conspecifics, even when the activities in question pose no obvious fitness threat or opportunity. Here, we investigate one content domain in which people show substantial interest, the use of drugs for non-medical purposes. Drawing from two subject populations—one undergraduate and one Internet-based—we look at the relationships among (i) abstract political commitments; (ii) attitudes about sexuality; and (iii) views surrounding recreational drugs. Whereas some theories suggest that drug views are best understood as the result of abstract political ideology, we suggest that these views can be better understood in the context of reproductive strategy. We show that, as predicted by a strategic construal, drug attitudes are best predicted by sexual items rather than abstract political commitments and, further, that the relationship between factors such as political ideology and drugs, while positive, are reduced to zero or nearly zero when items assessing sexuality are controlled for. We conclude that considering morality from the standpoint of strategic interests is a potentially useful way to understand why humans care about third party behaviour.     

营养基因组学的研究进展

营养学是一门古老的学科, 为人们的健康保护和疾病预防提供了重要的理论指导。随着分子生物学技术的发展, 它已成为21世纪生命科学研究最为主要的技术之一。分子生物学与营养学的结合, 产生了分子营养学。而基因组学与营养学的结合, 则形成了营养基因组学。营养基因组学涵盖了一个广泛的领域, 它研究营养素和基因表达的相互影响, 预测其对营养素的反应。基因组学技术可以帮助确认一些与疾病发生有关的基因, 人们可以根据各自的基因图谱制定一份个性化的饮食方案, 以此防病治病, 使人们的健康状况通过调整饮食来达到最佳。文中重点介绍了营养基因组学的主要研究方法及其应用。     

Nutrigenomics: integrating genomic approaches into nutrition research

It has been suggested that the supermarket of today will be the pharmacy of tomorrow. Such statements have been derived from recognition of our increasing ability to optimize nutrition, and maintain a state of good health through longer periods of life. The new field of nutrigenomics, which focuses on the interaction between bioactive dietary components and the genome, recognizes that current nutritional guidelines may be ideal for only a relatively small proportion of the population. There is good evidence that nutrition has significant influences on the expression of genes, and, likewise, genetic variation can have a significant effect on food intake, metabolic response to food, individual nutrient requirements, food safety, and the efficacy of disease-protective dietary factors. For example, a significant number of human studies in various areas are increasing the evidence for interactions between single nucleotide polymorphisms (SNPs) in various genes and the metabolic response to diet, including the risk of obesity. Many of the same genetic polymorphisms and dietary patterns that influence obesity or cardiovascular disease also affect cancer, since overweight individuals are at increased risk of cancer development. The control of food intake is profoundly affected by polymorphisms either in genes encoding taste receptors or in genes encoding a number of peripheral signaling peptides such as insulin, leptin, ghrelin, cholecystokinin, and corresponding receptors. Total dietary intake, and the satiety value of various foods, will profoundly influence the effects of these genes. Identifying key SNPs that are likely to influence the health of an individual provides an approach to understanding and, ultimately, to optimizing nutrition at the population or individual level. Traditional methods for identification of SNPs may involve consideration of individual variants, using methodologies such as restriction fragment length polymorphisms or quantitative real-time PCR assays. New developments allow identification of up to 500,000 SNPs in an individual, and with increasingly lowered pricings these developments may explode the population-level potential for dietary optimization based on nutrigenomic approaches.     

Combining multiple quantitative and qualitative goals when assessing biomanufacturing strategies under uncertainty

This paper reports how financial and operational results from bioprocess simulations can be combined with other criteria pertinent to decision-making predictions to provide a more holistic approach to the evaluation of biomanufacturing alternatives. The classical additive weighting method, which is a multiattribute decision-making technique that can account for both the quantitative and qualitative parameters that ultimately need to be considered, is used. Its application is demonstrated through a case study that addresses whether start-up companies should invest in a stainless steel pilot plant or use disposable equipment for the production of early phase clinical trial material. The technique is extended to allow for uncertainty in parameters. An illustration of its use to compare alternatives based on cumulative frequency curves of the aggregate scores is provided. For cases where it is difficult to discriminate between the options, plots of risk versus reward are shown to be useful for identifying the best alternative based on the risk preference of the company's management.     

Nutrigenomics research for personalized nutrition and medicine

Current nutritional and genetic epidemiological methods yield 'risk factors' on the basis of population studies. Risk factors, however, are statistical estimates of the percentage reduction in disease in the population if the risk were to be avoided or the gene variant were not present. These measures are often assumed to apply to individuals who are likely to differ in genetic make-up, lifestyle, and dietary patterns than to the individuals in the study population. Developing individual risk factors in light of the genetic diversity of human populations, the complexity of foods, culture and lifestyle, and the variety of metabolic processes that lead to health or disease is a significant challenge for personalizing dietary advice for healthy or individuals with chronic disease.     

Nutrigenomics, beta-cell function and type 2 diabetes

Introduction: The present investigation was designed to investigate the accuracy and precision of lactate measurement obtained with contemporary biosensors (Chiron Diagnostics, Nova Biomedical) and standard enzymatic pho-tometric procedures (Sigma Diagnostics, Abbott Laboratories, Analyticon).Materials and Methods: Measurements were performed in vitro before and after the stepwise addition of 1molar sodium lactate solution to samples of fresh frozen plasma to systematically achieve lactate concentrations of up to 20 mmol/l.Results: Precision of the methods investigated varied between 1% and 7%, accuracy ranged between 2% and -33% with the variability being lowest in the Sigma photometric procedure (6%) and more than 13% in both biosensor methods.Conclusion: Biosensors for lactate measurement provide adequate accuracy in mean with the limitation of highly variable results. A true lactate value of 6 mmol/l was found to be presented between 4.4 and 7.6 mmol/l or even with higher difference. Biosensors and standard enzymatic photometric procedures are only limited comparable because the differences between paired determinations presented to be several mmol. The advantage of biosensors is the complete lack of preana-lytical sample preparation which appeared to be the major limitation of standard photometry methods.     

Nutrigenomics: a case for the common soil between cardiovascular disease and cancer

The border between health and disease is often set by a complex equilibrium between two elements, genetics on one hand, lifestyle on the other, To know it better, means to give new weapons, often crucial, in the hands of the doctors and their patients. It also means to adjust therapies, to find out which drug is good for a patient and which prevention strategy will work better for him/her. Nutrigenomics is an approach to individualize or personalize food and nutrition, and ultimately health, by tailoring the food to the individual genotype. In this review, we present the interaction between certain genetic polymorphisms and diet and increased cardiovascular or cancer risk. It is, indeed, now clear that a large number of bioactive food components may provide risk or protection at several stages of both atherosclerosis and cancer formation processes. We are giving here few examples of gene-food interactions relevant for both the risk of cardiovascular disease and cancer, since a common soil could exist in the genesis of cardiovascular disease and of some types of cancer (mainly gastrointestinal tract and hormone-dependent).     

Global conservation strategies for two clades of snakes: combining taxon-specific goals with general prioritization schemes

Aim We present the first attempt of mapping global conservation priorities for two snake clades, Viperidae and Elapidae. We compared the global conservation priorities of each clade with the nine global conservation schemes defined by Brooks et al. to evaluate how effective these schemes are in ensuring the preservation of viperid and elapid biodiversity. Location Global. Methods Based on range maps of 228 species of Viperidae and 224 species of Elapidae, we used systematic conservation planning methods of complementarity and irreplaceability to generate a set of conservation networks under two cost scenarios: (1) minimizing conservation‐human development conflicts and (2) maximizing environmental suitability for high snake richness. Analysis of variance was used to investigate whether the mean irreplaceability of cells matching the areas covered by each of the nine global prioritization schemes in Brooks et al. was higher than the mean irreplaceability of cells located outside these areas. Results Overall, few areas showed irreplaceability higher than 0.5 based on a goal of representing 25% of the species’ ranges. The conservation networks generated in expectation of low conflicts between human development and conservation were quite different from the networks of high environmental suitability. Areas with higher irreplaceability coincided with the regions covered by global schemes of Endemic Bird Areas (for Viperidae and Elapidae) and High‐Biodiversity Wilderness (for Elapidae). Main conclusions Our findings indicated the existence of viable conservation opportunities for these two snake groups. This study can be viewed as a way to overcome, at least in part, the recent criticism concerning the independent development of several global conservation priorities by evaluating which groups of organisms are better represented in each of them. More than simply determining priorities for snakes’ conservation, our analyses showed that the development of parallel priority‐setting initiatives can be reconciled with those strategies for which financial resources are already being designed.     

Harnessing Nutrigenomics: Development of web-based communication, databases, resources, and tools

Nutrient - gene interactions are responsible for maintaining health and preventing or delaying disease. Unbalanced diets for a given genotype lead to chronic diseases such as obesity, diabetes, cardiovascular, and are likely to contribute to increased severity and/or early-onset of many age-related diseases. Many nutrition and many genetic studies still fail to properly include both variables in the design, execution, and analyses of human, laboratory animal, or cell culture experiments. The complexity ofnutrient-gene interactions has led to the realization that strategic international alliances are needed to improve the completeness of nutrigenomic studies - a task beyond the capabilities of a single laboratory team. Eighty-eight researchers from 22 countries recently outlined the issues and challenges for harnessing the nutritional genomics for public and personal health. The next step in the process of forming productive international alliances is the development of a virtual center for organizing collaborations and communications that foster resources sharing, best practices improvements, and creation of databases. We describe here plans and initial efforts of creating the Nutrigenomics Information Portal, a web-based resource for the international nutrigenomics society. This portal aims at becoming the prime source ofinformation and interaction for nutrigenomics scientists through a collaborative effort.