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代谢组学:基于百年生物化学,引领人类健康。

Metabolomics: building on a century of biochemistry to guide human health.

作者信息

German J Bruce, Hammock Bruce D, Watkins Steven M

出版信息

Metabolomics. 2005 Mar;1(1):3-9. doi: 10.1007/s11306-005-1102-8.

Abstract

Medical diagnosis and treatment efficacy will improve significantly when a more personalized system for health assessment is implemented. This system will require diagnostics that provide sufficiently detailed information about the metabolic status of individuals such that assay results will be able to guide food, drug and lifestyle choices to maintain or improve distinct aspects of health without compromising others. Achieving this goal will use the new science of metabolomics - comprehensive metabolic profiling of individuals linked to the biological understanding of human integrative metabolism. Candidate technologies to accomplish this goal are largely available, yet they have not been brought into practice for this purpose. Metabolomic technologies must be sufficiently rapid, accurate and affordable to be routinely accessible to both healthy and acutely ill individuals. The use of metabolomic data to predict the health trajectories of individuals will require bioinformatic tools and quantitative reference databases. These databases containing metabolite profiles from the population must be built, stored and indexed according to metabolic and health status. Building and annotating these databases with the knowledge to predict how a specific metabolic pattern from an individual can be adjusted with diet, drugs and lifestyle to improve health represents a logical application of the biochemistry knowledge that the life sciences have produced over the past 100 years.

摘要

当实施一个更个性化的健康评估系统时,医学诊断和治疗效果将显著改善。该系统将需要能够提供关于个体代谢状态足够详细信息的诊断方法,以便检测结果能够指导食物、药物和生活方式的选择,从而在不影响其他方面的情况下维持或改善健康的不同方面。实现这一目标将运用代谢组学这一新兴科学——对个体进行全面的代谢谱分析,并与人类综合代谢的生物学理解相联系。实现这一目标的候选技术大多已经具备,但尚未为此目的付诸实践。代谢组学技术必须足够快速、准确且经济实惠,以便健康人和急症患者都能常规使用。利用代谢组学数据预测个体的健康轨迹将需要生物信息学工具和定量参考数据库。这些包含人群代谢物谱的数据库必须根据代谢和健康状况进行构建、存储和索引。利用知识构建和注释这些数据库,以预测如何通过饮食、药物和生活方式调整个体的特定代谢模式来改善健康,这是对生命科学在过去100年中所产生的生物化学知识的合理应用。

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