Centre for Life Sciences, Chitkara School of Health Sciences, Chitkara University, Punjab, India.
Nutrition. 2023 Jun;110:112002. doi: 10.1016/j.nut.2023.112002. Epub 2023 Feb 10.
Nutrigenetics and nutrigenomics, combined with the omics technologies, are a demanding and an increasingly important field in personalizing nutrition-based care to understand an individual's response to nutrition-guided therapy. Omics is defined as the analysis of the large data sets of the biological system featuring transcriptomics, proteomics, and metabolomics and providing new insights into cell regulation. The effect of combining nutrigenetics and nutrigenomics with omics will give insight into molecular analysis, as human nutrition requirements vary per individual. Omics measures modest intraindividual variability and is critical to exploit these data for use in the development of precision nutrition. Omics, combined with nutrigenetics and nutrigenomics, is instrumental in the creation of goals for improving the accuracy of nutrition evaluations. Although dietary-based therapies are provided for various clinical conditions such as inborn errors of metabolism, limited advancement has been done to expand the omics data for a more mechanistic understanding of cellular networks dependent on nutrition-based expression and overall regulation of genes. The greatest challenge remains in the clinical sector to integrate the current data available, overcome the well-established limits of self-reported methods in research, and provide omics data, combined with nutrigenetics and nutrigenomics research, for each individual. Hence, the future seems promising if a design for personalized, nutrition-based diagnosis and care can be implemented practically in the health care sector.
营养遗传学和营养基因组学,结合组学技术,是个性化营养护理的一个要求很高且日益重要的领域,有助于了解个体对营养指导治疗的反应。组学被定义为对生物系统的大型数据集进行分析,其特点是转录组学、蛋白质组学和代谢组学,并为细胞调控提供新的见解。将营养遗传学和营养基因组学与组学相结合的效果将深入了解分子分析,因为人类的营养需求因个体而异。组学测量适度的个体内变异性,对于利用这些数据开发精准营养至关重要。组学与营养遗传学和营养基因组学相结合,对于制定改善营养评估准确性的目标具有重要意义。尽管针对各种临床情况(如先天性代谢缺陷)提供了基于饮食的治疗方法,但在扩展组学数据以更深入地了解依赖营养表达的细胞网络和基因的整体调控方面,进展有限。最大的挑战仍然存在于临床领域,即整合当前可用的数据,克服研究中自我报告方法的既定限制,并为每个人提供组学数据,以及营养遗传学和营养基因组学研究。因此,如果能够在医疗保健领域实际实施个性化、基于营养的诊断和护理设计,未来似乎充满希望。