Nikolic Sonja B, Sharman James E, Adams Murray J, Edwards Lindsay M
aMenzies Research Institute Tasmania, University of Tasmania, Hobart bSchool of Human Life Sciences, University of Tasmania, Launceston, Australia cCentre of Human & Aerospace Physiological Sciences, King's College London, London, UK.
J Hypertens. 2014 Jun;32(6):1159-69. doi: 10.1097/HJH.0000000000000168.
Hypertension is the most prevalent chronic medical condition and a major risk factor for cardiovascular morbidity and mortality. In the majority of hypertensive cases, the underlying cause of hypertension cannot be easily identified because of the heterogeneous, polygenic and multi-factorial nature of hypertension. Metabolomics is a relatively new field of research that has been used to evaluate metabolic perturbations associated with disease, identify disease biomarkers and to both assess and predict drug safety and efficacy. Metabolomics has been increasingly used to characterize risk factors for cardiovascular disease, including hypertension, and it appears to have significant potential for uncovering mechanisms of this complex disease. This review details the analytical techniques, pre-analytical steps and study designs used in metabolomics studies, as well as the emerging role for metabolomics in gaining mechanistic insights into the development of hypertension. Suggestions as to the future direction for metabolomics research in the field of hypertension are also proposed.
高血压是最常见的慢性疾病，也是心血管疾病发病和死亡的主要危险因素。在大多数高血压病例中，由于高血压具有异质性、多基因性和多因素性，其潜在病因难以轻易确定。代谢组学是一个相对较新的研究领域，已被用于评估与疾病相关的代谢紊乱、识别疾病生物标志物以及评估和预测药物安全性和疗效。代谢组学越来越多地用于表征包括高血压在内的心血管疾病的危险因素，并且似乎在揭示这种复杂疾病的机制方面具有巨大潜力。本综述详细介绍了代谢组学研究中使用的分析技术、分析前步骤和研究设计，以及代谢组学在深入了解高血压发病机制方面的新作用。还提出了高血压领域代谢组学研究未来方向的建议。
