Emwas Abdul-Hamid M, Al-Rifai Nahla, Szczepski Kacper, Alsuhaymi Shuruq, Rayyan Saleh, Almahasheer Hanan, Jaremko Mariusz, Brennan Lorraine, Lachowicz Joanna Izabela
Imaging and Characterization Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Should be: Environmental Technology Management (2005-2012), College for Women, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait.
Foods. 2021 May 31;10(6):1249. doi: 10.3390/foods10061249.
A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical components present in different food types, and the diversity of interactions in the biochemical networks and biological systems, makes nutrition research a complicated field. Metabolomics science is an "-omic", joining proteomics, transcriptomics, and genomics in affording a global understanding of biological systems. In this review, we present the main metabolomics approaches, and highlight the applications and the potential for metabolomics approaches in advancing nutritional food research.
健康状况由复杂的人体代谢途径定义，这些代谢途径只有在营养摄入完全满足时才能正常运作。营养摄入不足与多种代谢疾病有关，如糖尿病、肥胖症、动脉粥样硬化、高血压和骨质疏松症。近年来，在创新软件和分析平台的推动下，营养科学经历了非凡的变革。然而，不同食物类型中化学成分的复杂性和多样性，以及生化网络和生物系统中相互作用的多样性，使得营养研究成为一个复杂的领域。代谢组学是一种“组学”，与蛋白质组学、转录组学和基因组学一起，能够全面了解生物系统。在本综述中，我们介绍了主要的代谢组学方法，并强调了代谢组学方法在推进营养食品研究方面的应用和潜力。
