Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630 003, Tamil Nadu, India.
Mol Omics. 2021 Apr 1;17(2):210-229. doi: 10.1039/d0mo00176g. Epub 2021 Feb 18.
Metabolomics, an analytical study with high-throughput profiling, helps to understand interactions within a biological system. Small molecules, called metabolites or metabolomes with the size of <1500 Da, depict the status of a biological system in a different manner. Currently, we are in need to globally analyze the metabolome and the pathways involved in healthy, as well as diseased conditions, for possible therapeutic applications. Metabolome analysis has revealed high-abundance molecules during different conditions such as diet, environmental stress, microbiota, and disease and treatment states. As a result, it is hard to understand the complete and stable network of metabolites of a biological system. This review helps readers know the available techniques to study metabolomics in addition to other major omics such as genomics, transcriptomics, and proteomics. This review also discusses the metabolomics in various pathological conditions and the importance of metabolomics in therapeutic applications.
代谢组学是一种高通量分析研究，有助于理解生物系统内的相互作用。小分子，称为代谢物或代谢组，大小 <1500 Da，以不同的方式描述生物系统的状态。目前，我们需要全面分析健康和疾病状态下的代谢组以及涉及的途径，以实现可能的治疗应用。代谢组分析揭示了不同条件下（如饮食、环境压力、微生物群和疾病及治疗状态）高丰度分子的存在。因此，很难理解生物系统中完整和稳定的代谢物网络。这篇综述帮助读者了解除了基因组学、转录组学和蛋白质组学等其他主要组学之外，研究代谢组学的可用技术。这篇综述还讨论了代谢组学在各种病理条件下的应用，以及代谢组学在治疗应用中的重要性。
