Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.
Curr Obes Rep. 2020 Sep;9(3):219-230. doi: 10.1007/s13679-020-00393-y.
Omics-based technologies were suggested to provide an advanced understanding of obesity etiology and its metabolic consequences. This review highlights the recent developments in "omics"-based research aimed to identify obesity-related biomarkers.
Recent advances in obesity and metabolism research increasingly rely on new technologies to identify mechanisms in the development of obesity using various "omics" platforms. Genetic and epigenetic biomarkers that translate into changes in transcriptome, proteome, and metabolome could serve as targets for obesity prevention. Despite a number of promising candidate biomarkers, there is an increased demand for larger prospective cohort studies to validate findings and determine biomarker reproducibility before they can find applications in primary care and public health. "Omics" biomarkers have advanced our knowledge on the etiology of obesity and its links with chronic diseases. They bring substantial promise in identifying effective public health strategies that pave the way towards patient stratification and precision prevention.
基于组学的技术被认为可以提供对肥胖病因及其代谢后果的更深入理解。本综述重点介绍了基于“组学”的研究的最新进展,旨在确定与肥胖相关的生物标志物。
肥胖和代谢研究的最新进展越来越依赖新技术,利用各种“组学”平台来确定肥胖发展中的机制。可以转化为转录组、蛋白质组和代谢组变化的遗传和表观遗传生物标志物可以作为肥胖预防的靶点。尽管有许多有前途的候选生物标志物,但需要进行更大规模的前瞻性队列研究来验证这些发现,并确定生物标志物的可重复性,然后才能将其应用于初级保健和公共卫生。“组学”生物标志物提高了我们对肥胖病因及其与慢性疾病关系的认识。它们为确定有效的公共卫生策略带来了很大的希望,为患者分层和精准预防铺平了道路。