Nutrigenomics aims to identify the effects of various nutrients, including macro and micronutrients, on the genome (1) and studies the interaction between genes and nutrients or bioactive foods and their effects on human health (3. Nutrigenomics examines all genetic factors that influence the biological response to nutrition and the influence of diet on gene expression. A review of published dietary intervention studies on the effects of soy protein on serum cholesterol levels shows that nutrition researchers have in many cases overlooked many of the fundamental principles of nutrigenomics, disseminating a collection of conflicting reports that raise questions about the cholesterol-lowering effects of soy protein. Nutrigenomics is a powerful tool that helps researchers take a more comprehensive and molecular look at the various factors that influence the biological response of humans to diet. Using harmonized protocols for nutritional intervention studies with a focus on nutrigenomics helps identify a wider range of critical study parameters and reduce background noise from confounding variables and factors
.The
chapter also discusses the focus on nutritional science, which includes the investigation of soy protein as a cholesterol-lowering nutrient and soy proteins as a process product. In addition, developments within nutritional sciences, together with communication and marketing areas, led to the development of personalized nutritional advice based on nutrigenomics. So keep an eye out for future discoveries and subscribe to the Gene Food podcast for more in-depth discussions on the latest nutrigenomics research. Korthals questions many of the assumptions about nutrigenomics, in particular the idea that nutrigenomics is necessarily linked to promoting the
health of motivated people.
Therefore, scientists and human health science professionals can constantly contribute to nutrigenomics through research and development of new tools that can contribute to a better quality of life and a healthy diet for the population. In addition, nutrigenomics, an area of research that depends on the collection and storage of a wide variety of human genetic samples, requires consideration of various research ethics issues, including informed consent, data protection, and ownership of genetic material. Nutrigenomics also offers the opportunity to tailor drug therapies, improving effectiveness and reducing unnecessary risks. The study of nutrigenomics usually involves taking a sample from a person (usually a cheek swab, but in some cases also by drawing blood) and examining that person’s genetic
makeup (this is a genetic test).
Nutrigenomics is a portmanteau of nutritional genomics and describes an area of science that includes the human genome, nutrition, and health. Nutrigenomics is hoping that it will provide individuals or groups of similar people with valuable information about how differences in their genes and diet may affect their health. This chapter sets out normative assumptions on health and food concepts that have been advocated by many nutrigenomics researchers. Nutrigenomics researchers have specific ideas about food and health, some of which are present in the social context of food consumption and production, in which nutrigenomics and its applications
develop.
Since the introduction of Nutrigenomics into the “Omics” group, the way doctors and other professionals assess and treat various diseases, particularly DCTNs, has been improved. While his observations support the idea that nutrigenomics can be configured to support the health and wellbeing of the collective — hence applications of nutrigenomics in public health — he would also like the criticism to go further. Nutrigenomics therefore corresponds to the use of biochemistry, physiology, nutrition, genomics, proteomics, metabolomics, transcriptomics, and epigenomics to search for and explain the existing reciprocal interactions between genes and nutrients at the
molecular level.
References:
- Nutrigenomics 101: Understanding the Basics of DNA Diets – Gene Food
- Nutritional genomics – Wikipedia