人类代谢表型与代谢组广泛关联研究。

E Holmes, J K Nicholson
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引用次数: 22

摘要

大规模人群研究中的代谢表型可以提供关于遗传和环境因素对慢性病患病率和风险的影响和相互作用的关键信息。核磁共振(NMR)光谱和质谱(MS)等光谱技术可用于生成生物样品的多参数剖面,并与自动样品输送和数学建模系统一起,可作为高通量筛选工具。这些代谢分析工具从动物模型的临床前研究到人类群体研究的适应性进行了探索,并概述了代谢表型的当前和未来作用,包括“代谢组全关联筛选”的想法,重点关注心血管疾病和代谢综合征、癌症和神经变性等关键疾病领域。
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Human metabolic phenotyping and metabolome wide association studies.

Metabolic phenotyping in large-scale population studies can yield crucial information regarding the impact and interaction of genetic and environmental factors with regard to the prevalence and risk of chronic diseases. Spectroscopic technologies such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) can be used to generate multi-parameter profiles of biological samples and together with automated sample delivery and mathematical modelling systems, can be used as a high throughput screening tool. The adaptation of these metabolic profiling tools from pre-clinical studies in animal models to population studies in man is explored and an overview of the current and future roles of metabolic phenotyping is described, including the idea of "Metabolome Wide Association Screening" focussing on key disease areas such as cardiovascular disease and metabolic syndrome, cancers and neurodegeneration.

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