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Metabolomic profiling as a useful tool for diagnosis and treatment of chronic disease: Focus on obesity, diabetes and cardiovascular diseases

机译:代谢组学谱分析作为诊断和治疗慢性疾病的有用工具:关注肥胖症,糖尿病和心血管疾病

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摘要

There have been considerable improvements in therapeutics for chronic diseases. However, the maximum benefit of these or other options are hard to achieve in practice, due in part to the difficulties associated with determining optimal targets for such interventions. Recent developments have suggested that understanding changes in metabolite profiles will confer a high degree of predictive accuracy in terms of understanding the fundamental mechanisms resulting in perturbations of the metabolic state. Metabolomics involves the establishment of relationships between phenotype and a metabolic signature, which are key aspects of biological function. These approaches have been applied to the identification of serum/plasma metabolic markers involved in obesity, diabetes and vascular disease using animal models or in humans. Different kinds of metabolite profiling techniques using nuclear magnetic resonance spectroscopy, mass spectrometry, ultraperformance liquid chromatography and so on are currently employed to generate global metabolic profiles. Scientific information derived from these techniques can be applied to provide accurate and clinically useful prognostic/diagnostic capability for the management of major chronic diseases. One current consideration limiting the widespread use of metabolomic profiling is the analysis of its cost-effectiveness. In summary, it is hoped that the information derived from metabolite profiling will make it possible to suggest individualized therapies that more effectively treat disease.
机译:慢性疾病的治疗方法已有相当大的改进。然而,部分或由于与确定此类干预措施的最佳目标相关的困难,在实践中很难实现这些或其他选项的最大收益。最近的发展表明,就理解代谢物紊乱的基本机理而言,了解代谢物谱的变化将赋予高度的预测准确性。代谢组学涉及表型和代谢信号之间的关系的建立,这是生物学功能的关键方面。这些方法已被用于使用动物模型或人类鉴定与肥胖,糖尿病和血管疾病有关的血清/血浆代谢标志物。目前,使用核磁共振波谱,质谱,超高效液相色谱法等不同种类的代谢物分析技术来生成整体代谢谱。从这些技术中得出的科学信息可以用于为重大慢性疾病的治疗提供准确和临床有用的预后/诊断能力。当前限制代谢组学谱的广泛使用的一种考虑是对其成本效益的分析。总之,希望从代谢物谱分析中获得的信息将有可能提出更有效地治疗疾病的个性化疗法。

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