Yu Fengjiao, Kong Liang, Zou Hanfa, Lei Xiaoyuan
Key Laboratory of Offshore Marine Environment Research of Liaoning Higher Education, Dalian Ocean University, Dalian, 116023, China.
Comb Chem High Throughput Screen. 2010 Dec;13(10):855-68. doi: 10.2174/138620710793360356.
Traditional Chinese medicines (TCMs), a key branch of natural medicines, play an important role in treatment of diseases because of their reliable clinical performance. Identification of their active compounds constitutes a bottleneck in the development of TCMs. Screening and analysis of active compounds is a challenge in TCMs research. This review summarizes recent progress in the development of biological fingerprinting strategies for screening and analyzing of bioactive compounds in TCMs using molecular recognition, metabolism and omics tools.The evaluated strategies including the following techniques: microdialysis/centrifugal ultrafiltration-HPLC, biochromatography, metabolic fingerprinting analysis, 2-dimensional biochromatography and omics fingerprinting analysis.
中药作为天然药物的一个关键分支，因其可靠的临床疗效在疾病治疗中发挥着重要作用。确定其活性成分是中药发展的一个瓶颈。活性成分的筛选和分析是中药研究中的一项挑战。本文综述了利用分子识别、代谢和组学工具筛选和分析中药中生物活性成分的生物指纹图谱策略的最新进展。所评估的策略包括以下技术：微透析/离心超滤-高效液相色谱法、生物色谱法、代谢指纹图谱分析、二维生物色谱法和组学指纹图谱分析。
