Nutrigenomics and personalized diets - Tailoring nutrition for optimal health

Divya Chaudhary , Diksha Guleria , Himanshi Aggarwal , Vaibhav Mishra , Abhishek Chauhan , Laurent Dufossé , Naveen Chandra Joshi
{"title":"Nutrigenomics and personalized diets - Tailoring nutrition for optimal health","authors":"Divya Chaudhary ,&nbsp;Diksha Guleria ,&nbsp;Himanshi Aggarwal ,&nbsp;Vaibhav Mishra ,&nbsp;Abhishek Chauhan ,&nbsp;Laurent Dufossé ,&nbsp;Naveen Chandra Joshi","doi":"10.1016/j.afres.2025.100980","DOIUrl":null,"url":null,"abstract":"<div><div>Human health has long been understood to be severely affected by diet. Disturbed lifestyle and diets have led to an increase in metabolic disorders, resulting in high rates of mortality and morbidity. However, personalized nutrition, revolutionized by omics technologies, can address these disorders and enable doctors to anticipate the best treatment for patients. Omics along with nutrigenomics, explores how genes react to specific bioactive compounds in food within the human body. Since individuals vary in dietary response due to unique physiological and genetic factors, personalized nutrition considers gene polymorphisms to tailor diets. In addition, systems biology tools like proteomics, transcriptomics, and metabolomics work alongside statistical methods to analyse genetic variation and gut microflora differences that influence metabolic health through food bioactives. The blending of technologies like nutrigenomics and artificial intelligence is necessary to integrate multiple data sets, analyse numerous variables, build databases to support ethical guidelines and decision-making, identify underlying risk factors, and uncover biological mechanisms that enable the early diagnosis and prevention of complex diseases. Whereas personalized diets, shown to enhance the efficacy of medical treatments, offer a promising preventive strategy for conditions like obesity, cancer, and cardiovascular diseases. The nutrigenomic approach promotes “eating the food that not only your taste buds but your genes want,” emphasizing diet’s role in personalized health. This article explores the field of nutrigenomics and personalized nutrition, with a focus on how food’s bioactive compounds influence genes to maintain health, prevent diseases, and optimize well-being. It highlights the relationship between genetic polymorphisms and conditions like cardiovascular disease and metabolic disorders, showcasing advancements from genome sequencing and omics technologies.</div></div>","PeriodicalId":8168,"journal":{"name":"Applied Food Research","volume":"5 1","pages":"Article 100980"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Food Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772502225002884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Human health has long been understood to be severely affected by diet. Disturbed lifestyle and diets have led to an increase in metabolic disorders, resulting in high rates of mortality and morbidity. However, personalized nutrition, revolutionized by omics technologies, can address these disorders and enable doctors to anticipate the best treatment for patients. Omics along with nutrigenomics, explores how genes react to specific bioactive compounds in food within the human body. Since individuals vary in dietary response due to unique physiological and genetic factors, personalized nutrition considers gene polymorphisms to tailor diets. In addition, systems biology tools like proteomics, transcriptomics, and metabolomics work alongside statistical methods to analyse genetic variation and gut microflora differences that influence metabolic health through food bioactives. The blending of technologies like nutrigenomics and artificial intelligence is necessary to integrate multiple data sets, analyse numerous variables, build databases to support ethical guidelines and decision-making, identify underlying risk factors, and uncover biological mechanisms that enable the early diagnosis and prevention of complex diseases. Whereas personalized diets, shown to enhance the efficacy of medical treatments, offer a promising preventive strategy for conditions like obesity, cancer, and cardiovascular diseases. The nutrigenomic approach promotes “eating the food that not only your taste buds but your genes want,” emphasizing diet’s role in personalized health. This article explores the field of nutrigenomics and personalized nutrition, with a focus on how food’s bioactive compounds influence genes to maintain health, prevent diseases, and optimize well-being. It highlights the relationship between genetic polymorphisms and conditions like cardiovascular disease and metabolic disorders, showcasing advancements from genome sequencing and omics technologies.
营养基因组学和个性化饮食-为最佳健康量身定制营养
长期以来,人们一直认为饮食严重影响人类健康。紊乱的生活方式和饮食导致代谢紊乱的增加,导致高死亡率和发病率。然而,由组学技术革新的个性化营养可以解决这些疾病,并使医生能够预测对患者的最佳治疗。组学与营养基因组学一起,探索基因如何对人体内食物中的特定生物活性化合物作出反应。由于个体的饮食反应因独特的生理和遗传因素而异,个性化营养考虑基因多态性来定制饮食。此外,蛋白质组学、转录组学和代谢组学等系统生物学工具与统计方法一起分析通过食物生物活性影响代谢健康的遗传变异和肠道微生物群差异。营养基因组学和人工智能等技术的融合对于整合多个数据集、分析众多变量、建立数据库以支持伦理指导和决策、识别潜在的风险因素以及揭示能够早期诊断和预防复杂疾病的生物学机制是必要的。然而,个性化饮食被证明可以提高医疗效果,为肥胖、癌症和心血管疾病等疾病提供了一种有希望的预防策略。营养基因组学的方法提倡“吃你的味蕾和你的基因都想要的食物”,强调饮食在个性化健康中的作用。本文探讨了营养基因组学和个性化营养领域,重点关注食物的生物活性化合物如何影响基因以保持健康,预防疾病和优化福祉。它突出了基因多态性与心血管疾病和代谢紊乱等疾病之间的关系,展示了基因组测序和组学技术的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信