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中国人群代谢组学生物标志物与心脏代谢健康的关联。

Linking of metabolomic biomarkers with cardiometabolic health in Chinese population.

机构信息

CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.

出版信息

J Diabetes. 2019 Apr;11(4):280-291. doi: 10.1111/1753-0407.12858. Epub 2018 Oct 30.

Abstract

Due to rapid nutrition transitions, the prevalence of cardiometabolic diseases, such as metabolic syndrome, type 2 diabetes, and cardiovascular diseases, has been increasing at an alarming rate in the Chinese population. Moreover, Asians, including Chinese, have been hypothesized to have a higher susceptibility to cardiometabolic diseases than Caucasians. Early prediction and prevention are key to controlling this epidemic trend; to this end, the identification of novel biomarkers is critical to reflect environmental exposure, as well as to reveal endogenous metabolic and pathophysiologic mechanisms. The emerging "omics" technologies, especially metabolomics, offer a unique opportunity to provide novel signatures or fingerprints to understand the effects of genetic and non-genetic factors on cardiometabolic health. During the past two decades, metabolomic approaches have been increasingly used in various epidemiological studies, primarily in Western populations. Although the field is still in its early stages, some studies have tried to identify novel compounds or confirm their metabolites and associations with cardiometabolic diseases in Chinese populations, including amino acids, fatty acids, acylcarnitines and other metabolites. Despite major efforts to discover novel biomarkers for disease prediction or intervention, the limits in current study design, analytical platforms, and data processing approaches are challenges in metabolomic research worldwide. Therefore, future research with more advanced technologies, rigorous study designs, standardized detection and analytic approaches, and integrated data from multiomics approaches are essential to evaluate the feasibility of using metabolomics in clinical settings. Finally, the functional roles and underlying biological mechanisms of metabolomic biomarkers should be elucidated by future mechanistic research.

摘要

由于营养的快速转变,中国人患心血管代谢疾病(如代谢综合征、2 型糖尿病和心血管疾病)的比例正以惊人的速度上升。此外,人们推测亚洲人(包括中国人)比高加索人更容易患心血管代谢疾病。早期预测和预防是控制这一流行趋势的关键;为此,确定新的生物标志物对于反映环境暴露以及揭示内源性代谢和病理生理机制至关重要。新兴的“组学”技术,尤其是代谢组学,为了解遗传和非遗传因素对心血管代谢健康的影响提供了独特的机会。在过去的二十年中,代谢组学方法已越来越多地用于各种流行病学研究,主要是在西方人群中。尽管该领域仍处于早期阶段,但一些研究试图在中国人群中识别与心血管代谢疾病相关的新型化合物或确认其代谢物及其相关性,包括氨基酸、脂肪酸、酰基肉碱和其他代谢物。尽管人们做出了巨大努力来发现用于疾病预测或干预的新型生物标志物,但目前研究设计、分析平台和数据处理方法的局限性是代谢组学研究在全球范围内面临的挑战。因此,未来的研究需要采用更先进的技术、严格的研究设计、标准化的检测和分析方法以及多组学方法整合数据,以评估代谢组学在临床环境中的应用可行性。最后,应通过未来的机制研究阐明代谢组学生物标志物的功能作用和潜在生物学机制。

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