Academic literature on the topic 'Dietetics and Nutrigenomics'

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Journal articles on the topic "Dietetics and Nutrigenomics"

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German, J. Bruce. "Genetic dietetics: Nutrigenomics and the future of dietetics practice." Journal of the American Dietetic Association 105, no. 4 (April 2005): 530–31. http://dx.doi.org/10.1016/j.jada.2005.02.034.

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Labadarios, Demetre, and Michael M. Meguid. "Nutrigenomics:." Nutrition 20, no. 1 (January 2004): 2–3. http://dx.doi.org/10.1016/j.nut.2003.10.017.

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Trujillo, Elaine, Cindy Davis, and John Milner. "Nutrigenomics, Proteomics, Metabolomics, and the Practice of Dietetics." Journal of the American Dietetic Association 106, no. 3 (March 2006): 403–13. http://dx.doi.org/10.1016/j.jada.2005.12.002.

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Ferguson, Lynnette, and Matthew Barnett. "Nutrigenomics and Nutrigenetics Research in New Zealand, and Its Relevance and Application to Gastrointestinal Health." Nutrients 14, no. 9 (April 22, 2022): 1743. http://dx.doi.org/10.3390/nu14091743.

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Nutrigenomics New Zealand (NuNZ) was a collaborative research programme built among three organisations—the University of Auckland, AgResearch Limited and Plant & Food Research. The programme ran for ten years, between 2004 and 2014, and was tasked with developing the then emerging field of nutrigenomics, investigating its applications to New Zealand, and potential benefits to the plant food and agricultural sectors. Since the beginning of the programme, nutrigenomics was divided into two fields—nutrigenetics and nutrigenomics. The first of these is now more commonly called personalised nutrition, and has recently been recognised and criticised by elements of the dietetics and management sector in New Zealand, who currently do not appear to fully appreciate the evolving nature of the field, and the differing validity of various companies offering the tests that form the basis of this personalisation. Various science laboratories are utilising “omics” sciences, including transcriptomics, metabolomics, proteomics and the comprehensive analysis of microbial communities such as the gut microbiota, in order to understand the mechanisms by which certain food products and/or diets relevant to New Zealand, confer a health benefit, and the nature of potential health claims that may be made on the basis of this information. In this article, we give a brief overview of the nutrigenomics landscape in New Zealand since the end of the NuNZ programme, with a particular focus on gastrointestinal health.
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Dhanapal, Anto Cordelia T. A., Ramatu Wuni, Eduard F. Ventura, Teh Kuan Chiet, Eddy S. G. Cheah, Annaletchumy Loganathan, Phoon Lee Quen, et al. "Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia." Nutrients 14, no. 23 (December 1, 2022): 5108. http://dx.doi.org/10.3390/nu14235108.

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Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence across the coexisting ethnicities in Malaysia. To tackle malnutrition and related conditions in Malaysia, research in the new and evolving field of nutrigenetics and nutrigenomics is essential. As part of the Gene-Nutrient Interactions (GeNuIne) Collaboration, the Nutrigenetics and Nutrigenomics Research and Training Unit (N2RTU) aims to solve the malnutrition paradox. This review discusses and presents a conceptual framework that shows the pathway to implementing and strengthening precision nutrition strategies in Malaysia. The framework is divided into: (1) Research and (2) Training and Resource Development. The first arm collects data from genetics, genomics, transcriptomics, metabolomics, gut microbiome, and phenotypic and lifestyle factors to conduct nutrigenetic, nutrigenomic, and nutri-epigenetic studies. The second arm is focused on training and resource development to improve the capacity of the stakeholders (academia, healthcare professionals, policymakers, and the food industry) to utilise the findings generated by research in their respective fields. Finally, the N2RTU framework foresees its applications in artificial intelligence and the implementation of precision nutrition through the action of stakeholders.
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Mortensen, Alicja, Ilona K. Sorensen, Colin Wilde, Stefania Dragoni, Dana Mullerová, Olivier Toussaint, Zdeněk Zloch, Giampietro Sgaragli, and Jaroslava Ovesná. "Biological models for phytochemical research: from cell to human organism." British Journal of Nutrition 99, E-S1 (May 2008): ES118—ES126. http://dx.doi.org/10.1017/s0007114508965806.

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Nutrigenomics represents a shift of nutrition research from epidemiology and physiology to molecular biology and genetics. Nutrigenomics seeks to understand nutrition influences on homeostasis, the mechanism of genetic predispositions for diseases, to identify the genes influencing risk of diet related diseases. This review presents some in vitro models applicable in nutrigenomic studies, and discuses the use of animal models, their advantages and limitations and relevance for human situation. In vitro and in vivo models are suitable for performance of DNA microarrays, proteomic and transcriptomic analyses. In vitro models (intracellular organelles and suborganellar compartments, cell cultures, or tissue samples/cultures) give insight in metabolic pathways and responses to test stimuli on cellular and molecular levels. Animal models allow evaluation of the biological significance of the effects recorded in vitro and testing of the hypothesis on how a specific factor affects specific species under specific circumstances. Therefore, the evaluation of the data in relation to human organism should be done carefully, considering the species differences. The use of in vitro and in vivo models is likely to continue as the effects of nutrition on health and disease cannot be fully explained without understanding of nutrients action at nuclear level and their role in the intra- and intercellular signal transduction. Through advances in cell and molecular biology (including genomic and proteomic), the use of these models should become more predictively accurate. However, this predictive value relies on an underpinning knowledge of the advantages and limitations of the model in nutrigenomic research as in other fields of biomedical research.
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Gomase, V. S., and S. Tagore. "Nutrigenomics." International Journal of Food Safety, Nutrition and Public Health 2, no. 1 (2009): 89. http://dx.doi.org/10.1504/ijfsnph.2009.026922.

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Trayhurn, Paul. "Nutritional genomics – “Nutrigenomics”." British Journal of Nutrition 89, no. 1 (January 2003): 1–2. http://dx.doi.org/10.1079/bjn2002780.

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Cade, Janet. "Nutrigenetics and Nutrigenomics." Journal of Human Nutrition and Dietetics 18, no. 5 (October 2005): 401. http://dx.doi.org/10.1111/j.1365-277x.2005.00638.x.

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Komduur, Rixt H., Michiel Korthals, and Hedwig te Molder. "The good life: living for health and a life without risks? On a prominent script of nutrigenomics." British Journal of Nutrition 101, no. 3 (October 2, 2008): 307–16. http://dx.doi.org/10.1017/s0007114508076253.

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Like all scientific innovations, nutrigenomics develops through a constant interplay with society. Normative assumptions, embedded in the way researchers formulate strands of nutrigenomics research, affect this interplay. These assumptions may influence norms and values on food and health in our society. To discuss the possible pros and cons of a society with nutrigenomics, we need to reflect ethically on assumptions rooted in nutrigenomics research. To begin with, we analysed a set of scientific journal articles and explicated three normative assumptions embedded in the present nutrigenomics research. First, values regarding food are exclusively explained in terms of disease prevention. Health is therefore a state preceding a sum of possible diseases. Second, it is assumed that health should be explained as an interaction between food and genes. Health is minimised to quantifiable health risks and disease prevention through food–gene interactions. The third assumption is that disease prevention by minimisation of risks is in the hands of the individual and that personal risks, revealed either through tests or belonging to a risk group, will play a large role in disease prevention. Together, these assumptions suggest that the good life (a life worth living, with the means to flourish and thrive) is equated with a healthy life. Our thesis is that these three normative assumptions of nutrigenomics may strengthen the concerns related to healthism, health anxiety, time frames and individual responsibilities for health. We reflect on these ethical issues by confronting them in a thought experiment with alternative, philosophical, views of the good life.
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Dissertations / Theses on the topic "Dietetics and Nutrigenomics"

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Knoch, Bianca. "The effects of dietary eicosapentaenoic acid and arachidonic acid on gene expression changes in a mouse model of human inflammatory bowel diseases : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Nutritional Science at Massey University, Palmerston North, New Zealand." 2010. http://hdl.handle.net/10179/1529.

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Nutrigenomics studies the genome-wide influence of nutrients to understand the association between nutrition and human health. Studies in animal models and humans have demonstrated that dietary n-3 polyunsaturated fatty acids (PUFA) from fish oil may be beneficial in inflammatory bowel diseases (IBD). This thesis aimed to test the hypothesis that dietary n-3 PUFA eicosapentaenoic acid (EPA) reduced and n-6 PUFA arachidonic acid (AA) increased colitis in the interleukin- 10 gene-deficient (Il10–/–) mouse model of IBD, and that these PUFA altered the intestinal bacteria community during colitis development using genome-wide expression and bacterial profiling. Using a combined transcriptomic and proteomic approach, the time-course study defined the onset and progression of colitis in Il10–/– mice. Histopathology, transcript and protein changes before and after colitis onset involved in innate and adaptive immune responses suggested delayed remodelling processes in colitic Il10–/– mice and 11 weeks of age as suitable time point to study the effects of dietary PUFA on colitis development. Comparing the transcriptome and proteome profiles associated with colon inflammation of mice fed with the AIN-76A or oleic acid (OA) diet showed that OA was an appropriate control for unsaturated fatty acids in multi-omic studies. The PUFA intervention study indicated that dietary EPA-induced lipid oxidation might have a potential anti-inflammatory effect on inflamed colon tissue partially mediated through activation of peroxisome proliferator-activated receptor alpha (PPARα). Unexpectedly, dietary AA decreased the expression of inflammatory and stress colonic genes in Il10–/– mice. Altered intestinal bacteria community observed in Il10–/– mice before and after colitis onset was associated with the lack of IL10 protein led to changes in intestinal metabolic and signalling processes. Interestingly, dietary EPA and AA seemed to change intestinal bacteria profiles during colitis development. The role of PPARα in the colon was further examined in a concluding study which identified vanin1 as a likely new PPARα-target gene which may also be involved in lipid metabolism. These findings using a state-of-the-art approach combining transcriptomics, proteomics and physiology provide a basis for future research on molecular mechanisms underlying the effects of dietary PUFA, and might contribute to the development of fortified foods that improve intestinal health and wellness.
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Books on the topic "Dietetics and Nutrigenomics"

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(Editor), Artemis P. Simopoulos, and Jose M. Ordovas (Editor), eds. Nutrigenetics And Nutrigenomics (World Review of Nutrition and Dietetics). S. Karger AG (Switzerland), 2004.

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Acosta, Phyllis B. Nutrition Management of Patients with Inherited Metabolic Disorders. Jones & Bartlett Learning, LLC, 2010.

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B, Acosta Phyllis, ed. Nutrition management of patients with inherited metabolic disorders. Sudbury, Mass: Jones and Bartlett Publishers, 2010.

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Book chapters on the topic "Dietetics and Nutrigenomics"

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Spence, Joseph T. "Nutrigenomics and Agriculture: A Perspective." In World Review of Nutrition and Dietetics, 154–59. Basel: KARGER, 2010. http://dx.doi.org/10.1159/000314519.

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De Caterina, Raffaele. "Opportunities and Challenges in Nutrigenetics/Nutrigenomics and Health." In World Review of Nutrition and Dietetics, 1–7. Basel: KARGER, 2010. http://dx.doi.org/10.1159/000314504.

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Gillies, Peter J., and Penny M. Kris-Etherton. "Opportunities and Challenges in Nutrigenetics/Nutrigenomics: Building Industry-Academia Partnerships." In World Review of Nutrition and Dietetics, 160–68. Basel: KARGER, 2010. http://dx.doi.org/10.1159/000314520.

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Zeisel, Steven H. "Choline: Clinical Nutrigenetic/Nutrigenomic Approaches for Identification of Functions and Dietary Requirements." In World Review of Nutrition and Dietetics, 73–83. Basel: KARGER, 2010. http://dx.doi.org/10.1159/000314512.

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"Food labelling, functional foods, nutrigenetics, and nutrigenomics and food supplements." In Oxford Handbook of Nutrition and Dietetics, edited by Joan Webster-Gandy, Angela Madden, and Michelle Holdsworth, 187–204. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198800132.003.0008.

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"Food labelling, functional foods, nutrigenetics, and nutrigenomics and food supplements." In Oxford Handbook of Nutrition and Dietetics, edited by Joan Webster-Gandy, Angela Madden, and Michelle Holdsworth, 165–83. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199585823.003.0008.

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Food labelling 166 Functional foods and nutraceuticals 174 Nutrigenetics and nutrigenomics 178 Food supplements 182 Food labelling in the UK is currently controlled by the Food Labelling Regulations of 1996, subsequent amendments to these regulations, and also by European laws. Legally these regulations fall under the Food Safety Act of 1990. In the UK foods sold loose are exempt from many labelling regulations....
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Luna-Boquera, Iris. "Dietetics and Nutrition in Oncology Patients: Evaluation of Nutritional Status, Weight Control, and Nutrigenomics." In Aesthetic Treatments for the Oncology Patient, 103–8. CRC Press, 2020. http://dx.doi.org/10.1201/9780203728888-22.

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