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医学科学中的代谢组学——趋势、挑战与展望

METABOLOMICS IN MEDICAL SCIENCES--TRENDS, CHALLENGES AND PERSPECTIVES.

作者信息

Klupczyńska Agnieszka, Dereziński Paweł, Kokot Zenon J

出版信息

Acta Pol Pharm. 2015 Jul-Aug;72(4):629-41.

Abstract

Metabolomics is the latest of the "omic" technologies that involves comprehensive analysis of small molecule metabolites of an organism or a specific biological sample. Metabolomics provides an insight into the cell status and describes an actual health condition of organisms. Analysis of metabolome offers a unique opportunity to study the influence of genetic variation, disease, applied treatment or diet on endogenous metabolic state of organisms. There are many areas that might benefit from metabolomic research. In the article some applications of this novel "omic" technology in the field of medical sciences are presented. One of the most popular aims of metabolomic studies is biomarker discovery. Despite using the state-of-art analytical techniques along with advanced bioinformatic tools, metabolomic experiments encounter numerous difficulties and pitfalls. Challenges that researchers in the field of analysis of metabolome have to face include i.a., technical limitations, bioinformatic challenges and integration with other "omic" sciences. One of the grand challenges for studies in the field of metabolomics is to tackle the problem of data analysis, which is probably the most time consuming stage of metabolomic workflow and requires close collaboration between analysts, clinicians and experts in chemometric analysis. Implementation of metabolomics into clinical practice will be dependent on establishment of standardized protocols in analytical performance and data analysis and development of fit-for-purpose biomarker method validation. Metabolomics allows to achieve a sophisticated level of information about biological systems and opens up new perspectives in many fields of medicine, especially in oncology. Apart from its extensive cognitive significance, metabolomics manifests also a practical importance as it may lead to design of new non-invasive, sensitive and specific diagnostic techniques and development of new therapies.

摘要

代谢组学是最新的“组学”技术,它涉及对生物体或特定生物样本中的小分子代谢物进行全面分析。代谢组学能够深入了解细胞状态,并描述生物体的实际健康状况。对代谢组的分析为研究基因变异、疾病、应用治疗或饮食对生物体内源代谢状态的影响提供了独特的机会。有许多领域可能会从代谢组学研究中受益。本文介绍了这项新型“组学”技术在医学领域的一些应用。代谢组学研究最常见的目标之一是发现生物标志物。尽管使用了最先进的分析技术和先进的生物信息学工具,但代谢组学实验仍面临众多困难和陷阱。代谢组分析领域的研究人员必须面对的挑战包括技术限制、生物信息学挑战以及与其他“组学”科学的整合等。代谢组学研究面临的重大挑战之一是解决数据分析问题,这可能是代谢组学工作流程中最耗时的阶段,需要分析人员、临床医生和化学计量分析专家密切合作。将代谢组学应用于临床实践将取决于建立分析性能和数据分析的标准化方案,以及开发适用的生物标志物方法验证。代谢组学能够获得有关生物系统的复杂信息水平,并在许多医学领域,尤其是肿瘤学领域开辟新的前景。除了具有广泛的认知意义外,代谢组学还具有实际重要性,因为它可能导致设计新的非侵入性、灵敏且特异的诊断技术以及开发新的治疗方法。

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