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代谢组学在心血管疾病诊断与治疗中的转化及新兴临床应用

Translational and emerging clinical applications of metabolomics in cardiovascular disease diagnosis and treatment.

作者信息

Dona Anthony C, Coffey Sean, Figtree Gemma

机构信息

North Shore Heart Research, Kolling Institute, Sydney Medical School (Northern), University of Sydney, Australia Charles Perkins Centre, University of Sydney, Australia.

North Shore Heart Research, Kolling Institute, Sydney Medical School (Northern), University of Sydney, Australia Department of Cardiology, Royal North Shore Hospital, St Leonards, Australia.

出版信息

Eur J Prev Cardiol. 2016 Oct;23(15):1578-89. doi: 10.1177/2047487316645469. Epub 2016 Apr 21.

Abstract

Numerous molecular screening strategies have recently been developed to measure the chemical diversity of a population's biofluids with the ultimate aim to provide clinicians, medical scientists and epidemiologists with a clearer picture of the presence and severity of cardiovascular disease; prognosis; and response to treatment. Current cardiology practice integrates clinical history and examination with state-of-the-art imaging, invasive measures, and electrical interrogation. Biomarkers in common clinical use are relatively limited to troponin and brain natriuretic peptide, dependent on damage to heart muscle, or myocyte 'stretch' respectively. Although they have been recently applied to risk stratification in asymptomatic individuals at higher risk, the development of markers capable of detecting earlier phases of disease development would facilitate targeted strategies to prevent pathological complications in the general community. Metabolomics is the systematic study of small molecules in biological fluids. Profiling strategies aim to comprehensively measure and quantify such biomarkers in a fast, cost-effective and clinically informative manner. Techniques tend to be applied in an unbiased fashion, with advanced statistical methods allowing for identification of signature profiles in particular cohorts. In this manner, metabolomics has the potential to identify new pathophysiological pathways, and thus therapeutic targets, as well as assist in improved risk-stratification and personalized cardiovascular medicine. The latter has great potential in the primary and secondary cardiovascular disease prevention settings, integrating known and as yet unidentified host and environmental factors. The current review discusses applications of metabolomic techniques relevant to both the research and the clinical cardiologist.

摘要

最近已开发出多种分子筛查策略,用于测量人群生物流体的化学多样性,最终目的是为临床医生、医学科学家和流行病学家提供关于心血管疾病的存在、严重程度、预后以及对治疗反应的更清晰情况。当前的心脏病学实践将临床病史和检查与最先进的成像、侵入性测量和电生理检查相结合。临床常用的生物标志物相对局限于肌钙蛋白和脑钠肽,分别依赖于心肌损伤或心肌细胞“拉伸”。尽管它们最近已应用于高危无症状个体的风险分层,但能够检测疾病发展早期阶段的标志物的开发将有助于制定针对性策略,以预防普通人群中的病理并发症。代谢组学是对生物流体中的小分子进行系统研究。分析策略旨在以快速、经济高效且具有临床信息价值的方式全面测量和量化此类生物标志物。技术往往以无偏倚的方式应用,先进的统计方法允许在特定队列中识别特征谱。通过这种方式,代谢组学有潜力识别新的病理生理途径,从而确定治疗靶点,并有助于改善风险分层和个性化心血管医学。后者在心血管疾病一级和二级预防环境中具有巨大潜力,可整合已知和尚未确定的宿主及环境因素。本综述讨论了与研究型心脏病学家和临床心脏病学家相关的代谢组学技术应用。

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