Central Laboratory, Changchun Normal University, Changchun, China.
Phytochem Anal. 2024 Jan;35(1):116-134. doi: 10.1002/pca.3279. Epub 2023 Oct 5.
Studies show that Polyporus umbellatus has some pharmacological effects in enhancing immunity and against gout.
We aimed to establish new techniques for extraction, biological activity screening, and preparation of xanthine oxidase inhibitors (XODIs) from P. umbellatus.
First, the extraction of P. umbellatus was investigated using the back propagation (BP) neural network genetic algorithm mathematical regression model, and the extraction variables were optimised to maximise P. umbellatus yield. Second, XODIs were rapidly screened using ultrafiltration, and the change of XOD activity was tested by enzymatic reaction kinetics experiment to reflect the inhibitory effect of active compounds on XOD. Meanwhile, the potential anti-gout effects of the obtained active substances were verified using molecular docking, molecular dynamics simulations, and network pharmacology analysis. Finally, with activity screening as guide, a high-speed countercurrent chromatography (HSCCC) method combined with consecutive injection and two-phase solvent system preparation using the UNIFAC mathematical model was successfully developed for separation and purification of XODIs, and the XODIs were identified using MS and NMR.
The results verified that polyporusterone A, polyporusterone B, ergosta-4,6,8(14),22-tetraen-3-one, and ergosta-7,22-dien-3-one of P. umbellatus exhibited high biological affinity towards XOD. Their structures have been further identified by NMR, indicating that the method is effective and applicable for rapid screening and identification of XODIs.
This study provides new ideas for the search for natural XODIs active ingredients, and the study provide valuable support for the further development of functional foods with potential therapeutic benefits.
研究表明,云芝具有增强免疫力和抗痛风的药理作用。
我们旨在建立从云芝中提取、筛选黄嘌呤氧化酶抑制剂(XODI)的新技术。
首先,利用反向传播(BP)神经网络遗传算法数学回归模型研究云芝的提取,优化提取变量以最大化云芝产量。其次,通过超滤快速筛选 XODI,通过酶促反应动力学实验测试 XOD 活性的变化,以反映活性化合物对 XOD 的抑制作用。同时,利用分子对接、分子动力学模拟和网络药理学分析验证所得活性物质的潜在抗痛风作用。最后,以活性筛选为指导,成功开发了一种高速逆流色谱(HSCCC)方法,结合连续注射和使用 UNIFAC 数学模型的两相溶剂系统制备,用于 XODI 的分离和纯化,并通过 MS 和 NMR 鉴定 XODI。
结果验证了云芝中的多酚 A、多酚 B、麦角甾-4,6,8(14),22-四烯-3-酮和麦角甾-7,22-二烯-3-酮对 XOD 具有高生物亲和力。通过 NMR 进一步鉴定了它们的结构,表明该方法有效且适用于 XODI 的快速筛选和鉴定。
本研究为寻找天然 XODI 活性成分提供了新思路,为具有潜在治疗益处的功能性食品的进一步开发提供了有价值的支持。