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临床代谢组学及其在冠心病诊疗中的研究进展

Clinical metabolomics in diagnosis and therapy of coronary artery disease

  • 摘要: 代谢组学是近年来生命科学的热门研究领域,它通过分析生物样品中的代谢物,从机体水平上揭示疾病代谢紊乱特征。越来越多的研究证实将代谢组学运用于临床诊疗的可行性,检测生物体液的“代谢指纹”可以为疾病预防、早期诊断、精准治疗、预后评估和新药发现等提供重要支撑。由此,临床代谢组学(clinical metabolomics)应运而生。临床代谢组学是指结合临床大样本,采用代谢组学和生物信息学等手段,从整体上描绘内源性代谢小分子集合在疾病扰动下的稳态失衡及药物干预下的转归机制,揭示疾病潜在的诊疗生物标志物和可干预靶标的一门学科。本文从临床代谢组学发展历程切入,简述了其分析技术手段和研究内容,并以冠心病为例,总结了临床代谢组学在疾病诊疗中的研究进展。

     

    Abstract: Metabolomics, a hot field of research of life science in recent years, is to analyze endogenous small-molecule metabolites in biological samples for an overall understanding of the characteristics of metabolic disorders. A growing number of studies have confirmed the application of metabolomics for clinical diagnosis and treatment of diseases. “Metabolic fingerprint” of biological fluids can be employed for disease prevention, timely diagnosis, accurate treatment, prognostic assessment and drug discovery. Clinical metabolomics is to measure low-molecule-weight metabolites′ alterations of individuals in response to physiological stressors, disease processes, or drug therapy, aiming to discover potential biomarkers and drug targets. Coronary artery disease(CAD)is characterized as complex molecular events. Metabolic disturbances are involved in CAD progression. The application of metabolomics to CAD is an emerging field. Advances in metabolomics improve our knowledge on CAD in early diagnosis, prognostic prediction, and personalized therapy.

     

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