Department of Biochemistry, ICMR-National Institute of Nutrition, Hyderabad, India.
Indian J Med Res. 2018 Nov;148(5):632-641. doi: 10.4103/ijmr.IJMR_1738_18.
The hierarchical information flow through DNA-RNA-protein-metabolite collectively referred to as 'molecular fingerprint' defines both health and disease. Environment and food (quality and quantity) are the key factors known to affect the health of an individual. The fundamental concepts are that the transition from a healthy condition to a disease phenotype must occur by concurrent alterations in the genome expression or by differences in protein synthesis, function and metabolites. In other words, the dietary components directly or indirectly modulate the molecular fingerprint and understanding of which is dealt with nutrigenomics. Although the fundamental principles of nutrigenomics remain similar to that of traditional research, a collection of comprehensive targeted/untargeted data sets in the context of nutrition offers the unique advantage of understanding complex metabolic networks to provide a mechanistic understanding of data from epidemiological and intervention studies. In this review the challenges and opportunities of nutrigenomic tools in addressing the nutritional problems of public health importance are discussed. The application of nutrigenomic tools provided numerous leads on biomarkers of nutrient intake, undernutrition, metabolic syndrome and its complications. Importantly, nutrigenomic studies also led to the discovery of the association of multiple genetic polymorphisms in relation to the variability of micronutrient absorption and metabolism, providing a potential opportunity for further research toward setting personalized dietary recommendations for individuals and population subgroups.
DNA-RNA-蛋白质-代谢物的层次信息流通常被称为“分子指纹”,它定义了健康和疾病。环境和食物(质量和数量)是已知影响个体健康的关键因素。其基本概念是,从健康状态到疾病表型的转变必须通过基因组表达的同时改变或蛋白质合成、功能和代谢物的差异来发生。换句话说,饮食成分直接或间接调节分子指纹,而对其的理解就是营养基因组学的研究内容。尽管营养基因组学的基本原理与传统研究相似,但在营养背景下收集全面的靶向/非靶向数据集具有独特的优势,可以了解复杂的代谢网络,从而提供对来自流行病学和干预研究的数据的机制理解。在这篇综述中,讨论了营养基因组学工具在解决公共卫生重要营养问题方面的挑战和机遇。营养基因组学工具的应用为营养摄入、营养不良、代谢综合征及其并发症的生物标志物提供了许多线索。重要的是,营养基因组学研究还发现了与微量营养素吸收和代谢变异性相关的多种遗传多态性的关联,为针对个体和人群亚组制定个性化饮食建议的进一步研究提供了潜在机会。