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从泽泻根茎的萜类化合物中鉴定靶向 LXRβ 的选择性激动剂。

Identifying selective agonists targeting LXRβ from terpene compounds of alismatis rhizoma.

机构信息

Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, P.R. China.

出版信息

J Mol Model. 2021 Feb 22;27(3):91. doi: 10.1007/s00894-021-04699-z.

Abstract

Hyperlipidemia is thought of as an important contributor to coronary disease, diabetes, and fatty liver. Liver X receptor β (LXRβ) was considered as a validated target for hyperlipidemia therapy due to its role in regulating cholesterol homeostasis and immunity. However, many current drugs applied in clinics are not selectively targeting LXRβ, and they can also activate LXRα which activates SREBP-1c that worked as an activator of lipogenic genes. Therefore, exploiting agonists selectively targeting LXRβ is urgent. Here, computational tools were used to screen potential agonists selectively targeting LXRβ from 112 terpenes of alismatis rhizoma. Firstly, a structural analysis between selective and nonselective agonists was used to explore key residues of selective binding with LXRβ. Our data indicated that Phe, Ser, Met, His, and Trp were important to compounds binding with LXRβ, suggesting that engaging ligand interaction with these residues may provide directions for the development of ligands with improved selective profiles. Then, ADMET analysis, molecular docking, MD simulations, and calculation of binding free energy and its decomposition were executed to screen the agonists whose bioactivity was favorable from 112 terpenes of alismatis rhizoma. We found that two triterpenes 16-hydroxy-alisol B 23-acetate and alisol M 23-acetate showed favorable ADMET properties and high binding affinity against LXRβ. These compounds could be considered as promising selective agonists targeting LXRβ. Our work provides an alternative strategy for screening agonists selectively targeting LXRβ from alismatis rhizoma for hyperlipidemia disease treatment.

摘要

高脂血症被认为是冠心病、糖尿病和脂肪肝的重要致病因素。肝 X 受体 β(LXRβ)在调节胆固醇稳态和免疫方面发挥作用,被认为是治疗高脂血症的有效靶点。然而,目前临床上应用的许多药物并非专门针对 LXRβ,它们也可以激活 LXRα,后者激活 SREBP-1c,作为脂肪生成基因的激活剂。因此,迫切需要开发专门针对 LXRβ的激动剂。在这里,我们使用计算工具从泽泻 112 种萜类化合物中筛选出专门针对 LXRβ的潜在激动剂。首先,使用选择性和非选择性激动剂之间的结构分析来探索与 LXRβ选择性结合的关键残基。我们的数据表明,苯丙氨酸、丝氨酸、蛋氨酸、组氨酸和色氨酸对化合物与 LXRβ的结合很重要,这表明与这些残基的配体相互作用可能为开发具有改善选择性特征的配体提供方向。然后,进行 ADMET 分析、分子对接、MD 模拟以及结合自由能及其分解的计算,以从泽泻 112 种萜类化合物中筛选出具有良好生物活性的激动剂。我们发现两种三萜 16-羟基-泽泻醇 B23-乙酸酯和泽泻醇 M23-乙酸酯具有良好的 ADMET 性质和对 LXRβ的高结合亲和力。这些化合物可被视为有前途的专门针对 LXRβ的激动剂。我们的工作为从泽泻中筛选专门针对 LXRβ的激动剂治疗高脂血症提供了一种替代策略。

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