METABOLOMICS IN MEDICAL SCIENCES--TRENDS, CHALLENGES AND PERSPECTIVES.
METABOLOMICS IN MEDICAL SCIENCES--TRENDS, CHALLENGES AND PERSPECTIVES.
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发表时间：
2015-07
影响因子：
0.4
通讯作者：
Agnieszka Klupczyńska;Paweł Dereziński;Z. Kokot
中科院分区：
文献类型：
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作者：
Agnieszka Klupczyńska;Paweł Dereziński;Z. Kokot
代谢组学是最新的“组学”技术，涉及对生物体或特定生物样品的小分子代谢物的综合分析。代谢组学提供了对细胞状态的洞察，并描述了生物体的实际健康状况。代谢组学分析为研究遗传变异、疾病、应用治疗或饮食对生物体内源性代谢状态的影响提供了独特的机会。有许多领域可能受益于代谢组学研究。本文介绍了这种新的“组学”技术在医学领域的一些应用。代谢组学研究最受欢迎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沿着先进的生物信息学工具，代谢组学实验遇到了许多困难和陷阱。代谢组学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。代谢组学领域研究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，需要分析师，临床医生和化学计量学分析专家之间的密切合作。代谢组学在临床实践中的实施将取决于分析性能和数据分析的标准化方案的建立以及适合目的的生物标志物方法验证的发展。代谢组学允许实现有关生物系统的复杂信息水平，并在许多医学领域，特别是在肿瘤学中开辟新的前景。除了广泛的认知意义外，代谢组学还表现出实际重要性，因为它可能导致设计新的非侵入性，敏感和特异性诊断技术和开发新的治疗方法。
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.