黄竹的代谢谱分析:非靶向代谢组学在传统医学中的潜力

Jesse M. Thomas, Narayanaganesh Balasubramanian
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引用次数: 1

摘要

我们已经展示了使用非靶向代谢组学-一种高通量分析来探测基于传统药物的天然产物的小分子景观。该方法提供了对这种天然药物的质量和其中存在的次生代谢物深度的全球视角。我们以黄花为例,展示了基于LC-MS和GC-MS的非靶向代谢组学的实用性。上述研究使用了三种不同的制剂,并成功地展示了这些样品中的小分子景观差异。使用基于r的web程序进行初步统计分析,表明样品分组良好,表明批间一致性。LC-MS和GC-MS数据生成的热图显示了样品中各种小分子丰度的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic Profiling of Eclipta prostrata L.: Potentials of Untargeted Metabolomics in Traditional Medicine
We have demonstrated the use of untargeted metabolomics- a high-throughput analysis to probe the small molecule landscape of natural products based traditional medicine. The approach provides a global perspective on the quality of such natural medicine and the depth of secondary metabolites present in them. We utilized Eclipta prostrata L. as an example to demonstrate the utility of LC-MS and GC-MS based untargeted metabolomics. The mentioned research utilized three different preparations and successfully demonstrated the small molecule landscape differences in these samples. Preliminary statistical analysis using R-based web programs, indicated the samples grouped well indicating batch-to-batch consistency. Heatmaps generated from LC-MS and GC-MS data indicated the difference in abundance of various small molecules across the samples.
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