a National TCM Key Laboratory of Serum Pharmacochemistry, First Affiliated Hospital, Laboratory of Metabolomics and Chinmedomics, Heilongjiang University of Chinese Medicine , Harbin , China.
Crit Rev Anal Chem. 2016 Jul 3;46(4):342-51. doi: 10.1080/10408347.2015.1079475. Epub 2015 Sep 4.
The advancement of omics technology has vigorously promoted the development of the life sciences; metabolomics in particular has emerged as a powerful tool that has a promising future in scientific research and clinical practice. As terminal products of complex biochemical networks, endogenous low-molecular-weight metabolites contain rich information about the physiological status of an individual or group of people. Also, this information has more practical significance in that we know "what happened" instead of "what might happen" to some degree. Rapid and accurate screening of metabolites on a large scale was beyond imagining in the past; however, benefiting from high-throughput technical means, the overall disturbance of metabolites induced by environmental stimulus or treatments can now be well analyzed. After appropriate bioinformatic analysis, clinically relevant biomarkers of a disease can be found, and an accurate and dynamic picture of metabolic disturbance that contributes to a phenotype of a certain organism can be constructed. Biomarkers can also reveal the general metabolic condition by pathways that correlate with disease progression, or even with the risk of certain diseases. Thus, as an indispensable part of the framework of systems biology, metabolomics has been widely used in, but not limited to, the fields of medical science, pharmaceuticals, botany, and microbiology. In this article, we focus on metabolomics' mainstream research content and technical innovations such as determination methods for biologically active compounds; further, we pay more attention to the future trends and various possibilities for metabolomics study.
组学技术的进步有力地推动了生命科学的发展;代谢组学尤其成为一种强大的工具,在科学研究和临床实践中具有广阔的前景。作为复杂生化网络的终端产物,内源性低分子量代谢物包含了个体或人群生理状态的丰富信息。而且,这种信息在某种程度上更具有实际意义,因为我们知道“发生了什么”,而不仅仅是“可能会发生什么”。在过去,大规模快速准确地筛选代谢物是难以想象的;然而,得益于高通量技术手段,现在可以很好地分析环境刺激或处理引起的代谢物的整体干扰。经过适当的生物信息学分析,可以找到疾病的临床相关生物标志物,并构建出有助于某种生物表型的代谢紊乱的准确而动态的图像。生物标志物还可以通过与疾病进展相关的途径,甚至与某些疾病的风险相关的途径,揭示一般的代谢状况。因此,作为系统生物学框架的不可或缺的一部分,代谢组学已广泛应用于医学、药物学、植物学和微生物学等领域,但不仅限于这些领域。本文重点介绍代谢组学的主流研究内容和技术创新,如生物活性化合物的测定方法;此外,我们更加关注代谢组学研究的未来趋势和各种可能性。