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揭示九层塔(芸香科)的抗肥胖潜力:一种网络药理学方法。

Unveiling the anti-obesity potential of Kemuning (Murraya paniculata): A network pharmacology approach.

机构信息

Tropical Biopharmaca Research Center, IPB University, Bogor, Indonesia.

Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia.

出版信息

PLoS One. 2024 Aug 29;19(8):e0305544. doi: 10.1371/journal.pone.0305544. eCollection 2024.

DOI:10.1371/journal.pone.0305544
PMID:39208245
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11361609/
Abstract

Obesity has become a global issue that affects the emergence of various chronic diseases such as diabetes mellitus, dysplasia, heart disorders, and cancer. In this study, an integration method was developed between the metabolite profile of the active compound of Murraya paniculata and the exploration of the targeting mechanism of adipose tissue using network pharmacology, molecular docking, molecular dynamics simulation, and in vitro tests. Network pharmacology results obtained with the skyline query technique using a block-nested loop (BNL) showed that histone acetyltransferase p300 (EP300), peroxisome proliferator-activated receptor gamma (PPARG), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A) are potential targets for treating obesity. Enrichment analysis of these three proteins revealed their association with obesity, thermogenesis, energy metabolism, adipocytokines, fat cell differentiation, and glucose homeostasis. Metabolite profiling of M. paniculata leaves revealed sixteen active compounds, ten of which were selected for molecular docking based on drug-likeness and ADME results. Molecular docking results between PPARG and EP300 with the ten active compounds showed a binding affinity value of ≤ -5.0 kcal/mol in all dockings, indicating strong binding. The stability of the protein-ligand complex resulting from docking was examined using molecular dynamics simulations, and we observed the best average root mean square deviation (RMSD) of 0.99 Å for PPARG with trans-3-indoleacrylic acid, which was lower than with the native ligand BRL (2.02 Å). Furthermore, the RMSD was 2.70 Å for EP300 and the native ligand 99E, and the lowest RMSD with the ligand (1R,9S)-5-[(E)-2-(4-Chlorophenyl)vinyl]-11-(5-pyrimidinylcarbonyl)-7,11-diazatricyclo[7.3.1.02,7]trideca-2,4-dien-6-one was 3.33 Å. The in vitro tests to validate the potential of M. paniculata in treating obesity showed that there was a significant decrease in PPARG and EP300 gene expressions in 3T3-L1 mature adipocytes treated with M. paniculata ethanolic extract starting at concentrations 62.5 μg/ml and 15.625 μg/ml, respectively. These results indicate that M. paniculata can potentially treat obesity by disrupting adipocyte maturation and influencing intracellular lipid metabolism.

摘要

肥胖已成为影响糖尿病、发育不良、心脏紊乱和癌症等各种慢性疾病发生的全球性问题。在这项研究中,采用网络药理学、分子对接、分子动力学模拟和体外试验,开发了一种将九里香活性化合物的代谢物谱与脂肪组织靶向机制探索相结合的方法。使用块嵌套循环(BNL)的 skyline 查询技术获得的网络药理学结果表明,组蛋白乙酰转移酶 p300(EP300)、过氧化物酶体增殖物激活受体γ(PPARG)和过氧化物酶体增殖物激活受体γ共激活因子 1-α(PPARGC1A)是治疗肥胖的潜在靶点。对这三种蛋白质的富集分析表明,它们与肥胖、生热、能量代谢、脂肪细胞分化和葡萄糖稳态有关。对九里香叶片的代谢物谱分析显示,有 16 种活性化合物,其中 10 种根据药物相似性和 ADME 结果被选择用于分子对接。用分子对接研究发现,在所有对接中,与 10 种活性化合物与 PPARG 和 EP300 的结合亲和力值都小于等于-5.0 kcal/mol,表明结合力很强。用分子动力学模拟对对接得到的蛋白-配体复合物的稳定性进行了检验,我们观察到与反式-3-吲哚丙烯酸对接时 PPARG 的最佳平均均方根偏差(RMSD)为 0.99 Å,低于与天然配体 BRL(2.02 Å)的 RMSD。此外,EP300 和天然配体 99E 的 RMSD 为 2.70 Å,与配体(1R,9S)-5-[(E)-2-(4-氯苯基)乙烯基]-11-(5-嘧啶基羰基)-7,11-二氮杂三环[7.3.1.02,7]十三烷-2,4-二烯-6-酮的最低 RMSD 为 3.33 Å。为验证九里香治疗肥胖的潜力而进行的体外试验表明,在浓度为 62.5 μg/ml 和 15.625 μg/ml 时,九里香乙醇提取物处理的 3T3-L1 成熟脂肪细胞中 PPARG 和 EP300 基因的表达显著降低。这些结果表明,九里香可能通过破坏脂肪细胞成熟和影响细胞内脂质代谢来治疗肥胖。

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