Diabetes mellitus type 2 (T2DM) is a growing burden in the global public health and economic systems. Older adults are more than two times predisposed to T2DM and they are more likely to develop T2DM-related complications. A complex interaction of genes, diet and environment is a key factor in the development of this chronic metabolic disorder. With nutrigenomics, researchers are beginning to understand this interaction. This review aims at examining gene-diet relationships concerning T2DM as well as the applications and potential of nutrigenomics in managing geriatric type 2 diabetes. Several genome-wide association studies have documented susceptibility genes for T2DM. Among these genes are TCFL2, PPARGγ, CAP 10, ADBR3, DPARGCIA, and ENPP genes. Several bioactive compounds in foods have also been shown to act as switches on T2DM susceptibility genes, aiding in the progression or inhibition of the disease. These findings have helped in developing nutritional recommendations that are relevant to the management of T2DM particularly in carriers of these susceptibility genes. In this comprehensive review, the current trends, and prospects of nutrigenomics as an intervention for geriatric diabetes is explained.
The food industry has continued to evolve in terms of technologies employed in food processing. These advancements are because of increasing demand of food. Many industries are beginning to explore new technologies to enhance maximum efficiency and productivity across the food value chain. Artificial Intelligence (AI) is one of the emerging technologies that have found great relevance in the food sector. AI is simply the creation of smart machines capable of exhibiting human intelligence. This technology uses algorithms like machine learning and deep learning to mimic human behavior. AI has continued to find relevance in food processing and has proven to be an added advantage to the industry. In this article, we considered the relevance of AI to the food industry, its various applications in food processing, benefits, and setbacks to its adoption in the food industry.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.