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Unbiased Evaluation of Bioactive Secondary Metabolites in Complex Matrices

机译:复合基质中生物活性次级代谢物的无偏见评价

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摘要

The majority of bioactive principles in a complex matrix such as natural products and botanical medicines are secondary rather than primary metabolites. In addition to being chemically diverse, the bioactivity of an ethnobotanical can comprise from one to several bioactive compounds, present in a complex mixture. Conventional discovery efforts utilize bioassay-guided fractionation (BGF) to isolate individual active compounds. When applied to complex natural products, BGF is often challenged by an apparent loss of activity during fractionation, resulting in weakly active isolated compounds. Metabolomic analysis can potentially complement existing the BGF paradigm by capturing the chemical complexity of the metabolites. The proposed biochemometric approach establishes a link between the chemistry of a secondary metabolome and a deserved health impact, using a high-throughput, high-resolution capable biological endpoint. The proof of principle is demonstrated for the anti-tuberculosis (TB) activity of the Alaskan ethnobotanical, Oplopanax horridus. Biochemometric analysis identified the 100 most active constituents from thousands of metabolites in the active extract by means of 2D orthogonal chromatography using countercurrent and GC-MS methods. Previously isolated O. horridus phytoconstituents were used as reference markers of known structure and bio(in)activity. Positive correlations allowed distinction of anti-TB actives from inactive compounds. A total of 29 bioactives from 3 main structural classes were assigned based on MS data. Biochemometric analysis is a new tool for the standardization of herbal medicines and ethnobotanicals, as well as for drug discovery from nature. The method can assign multiple active compounds in complex mixtures without their prior isolation or structure elucidation, while still providing an interface to structural information.
机译:复杂基质中的大多数生物活性原则如天然产物和植物药物是次级代谢物。除了化学多样化之外,乙烯羧基的生物活性除了在复杂的混合物中含有一种至几种生物活性化合物。常规发现努力利用生物测定引导的分馏(BGF)来分离单个活性化合物。当应用于复杂的天然产物时,BGF通常通过分馏期间的明显活性丧失来挑战,导致弱活性的分离的化合物。代谢物分析可以通过捕获代谢物的化学复杂性来潜在地补充现有的BGF范例。所提出的生物化学方法建立了二次代谢物化学与应得的健康影响之间的联系,使用高通量高分辨率的生物终点。原则证明是针对阿拉斯加的乙醛,Oplopanax恐怖症的抗结核(TB)活性。生物化学分析通过使用逆流和GC-MS方法鉴定了通过2D正交色谱法从活性提取物中的数千个代谢物中的100种最活跃的成分。以前分离的O.唤醒植物植物主量被用作已知结构和生物(IN)活性的参考标记。正相关允许区分抗TB活性化合物。基于MS数据分配了来自3个主要结构类的29个生物术。生物化学分析是草药和乙醛标准化的新工具,以及来自自然的药物发现。该方法可以在复杂混合物中分配多个活性化合物,而无需其先前的隔离或结构阐明,同时仍提供结构信息的界面。

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