Nutrigenomics in the modern era

被引:57
作者
Mathers, John C. [1 ]
机构
[1] Newcastle Univ, Inst Cellular Med, Human Nutr Res Ctr, Campus Ageing & Vital, Newcastle Upon Tyne NE4 5PL, Tyne & Wear, England
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
Nutrigenomics; Nutrigenetics; Metabolomics; Microbiome; Personalised nutrition; Organoids; Genome editing; BODY-MASS INDEX; COPY NUMBER VARIANTS; DIETARY EXPOSURE; STEM-CELLS; PERSONALIZED NUTRITION; MICROBIOTA COMPOSITION; POTENTIAL BIOMARKERS; GENETIC-VARIATION; GUT MICROBIOTA; FTO GENOTYPE;
D O I
10.1017/S002966511600080X
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
The concept that interactions between nutrition and genetics determine phenotype was established by Garrod at the beginning of the 20th century through his ground-breaking work on inborn errors of metabolism. A century later, the science and technologies involved in sequencing of the human genome stimulated development of the scientific discipline which we now recognise as nutritional genomics (nutrigenomics). Much of the early hype around possible applications of this new science was unhelpful and raised expectations, which have not been realised as quickly as some would have hoped. However, major advances have been made in quantifying the contribution of genetic variation to a wide range of phenotypes and it is now clear that for nutrition-related phenotypes, such as obesity and common complex diseases, the genetic contribution made by SNP alone is often modest. There is much scope for innovative research to understand the roles of less well explored types of genomic structural variation, e.g. copy number variants, and of interactions between genotype and dietary factors, in phenotype determination. New tools and models, including stem cell-based approaches and genome editing, have huge potential to transform mechanistic nutrition research. Finally, the application of nutrigenomics research offers substantial potential to improve public health e. g. through the use of metabolomics approaches to identify novel biomarkers of food intake, which will lead to more objective and robust measures of dietary exposure. In addition, nutrigenomics may have applications in the development of personalised nutrition interventions, which may facilitate larger, more appropriate and sustained changes in eating (and other lifestyle) behaviours and help to reduce health inequalities.
引用
收藏
页码:265 / 275
页数:11
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