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罗汉果治疗骨关节炎的作用机制探索:基于网络药理学、分子对接和体外验证的见解

Mechanistic Exploration of Roxb. in Osteoarthritis: Insights from Network Pharmacology, Molecular Docking, and In Vitro Validation.

作者信息

Ilyas Sidra, Baek Chae Yun, Manan Abdul, Choi Yeojin, Jo Hee-Geun, Lee Donghun

机构信息

Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam-si 13120, Republic of Korea.

Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea.

出版信息

Pharmaceuticals (Basel). 2024 Sep 27;17(10):1285. doi: 10.3390/ph17101285.

Abstract

: Arthritis, a debilitating joint disease, remains a significant global health burden. This study uncovers the therapeutic potential of the medicinal plant Roxb. (SGR) in attenuating progression of disease by modulating immune responses. : Through computational approaches, key bioactive compounds in SGR were identified by using freely available databases: TCMSP, TCMID, HIT2.0, HERB, and INPUT in order to elucidate their underlying mechanisms of action. Therapeutic targets for the disease have been retrieved by TTD, GeneCard, and OMIM databases. The STRING database was used to analyze the protein-protein interactions (PPI) of intersecting genes. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to reveal the functional roles of genes. Mcule was used for molecular docking and binding affinity of compounds and targets were evaluated by DeepPurpose model. ALP activity, cell viability assay, TRAP staining were also performed. : A total of 14 active SGR compounds with 59 common targets for arthritis have been identified. These targets have a major role in controlling biological processes such as wound healing, oxygen responses, and chemical stimuli. Molecular docking by Mcule platform demonstrated that quercetin and β-sitosterol showed higher binding energy affinities with TNF, TP53, PTGS2, and JUN as compared to other targets. To explore the complex relationship between compounds and targets, pre-trained Davis and KIBA models were used to predict the affinity values of selected compounds. In MC3T3-E1 cells, ALP activity was significantly increased and bone marrow macrophages (BMM) showed a low number of TRAP-positive cells in SGR-treated cells. : Our findings demonstrate that SGR effectively inhibits/regulates inflammatory responses, prevents cartilage degradation, promotes bone regeneration, and can be used as a promising candidate for the development of novel arthritis treatment.

摘要

关节炎是一种使人衰弱的关节疾病,仍然是全球重大的健康负担。本研究揭示了药用植物 Roxb.(SGR)通过调节免疫反应来减轻疾病进展的治疗潜力。:通过计算方法,利用免费可用的数据库(TCMSP、TCMID、HIT2.0、HERB 和 INPUT)来鉴定 SGR 中的关键生物活性化合物,以阐明其潜在的作用机制。通过 TTD、GeneCard 和 OMIM 数据库检索该疾病的治疗靶点。STRING 数据库用于分析相交基因的蛋白质 - 蛋白质相互作用(PPI)。进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析以揭示基因的功能作用。Mcule 用于分子对接,并通过 DeepPurpose 模型评估化合物与靶点的结合亲和力。还进行了碱性磷酸酶(ALP)活性、细胞活力测定和抗酒石酸酸性磷酸酶(TRAP)染色。:共鉴定出 14 种具有 59 个关节炎常见靶点的活性 SGR 化合物。这些靶点在控制诸如伤口愈合、氧反应和化学刺激等生物过程中起主要作用。通过 Mcule 平台进行的分子对接表明,与其他靶点相比,槲皮素和β - 谷甾醇与肿瘤坏死因子(TNF)、TP53、前列腺素内过氧化物合酶 2(PTGS2)和原癌基因 c - jun(JUN)显示出更高的结合能亲和力。为了探索化合物与靶点之间的复杂关系,使用预训练的戴维斯(Davis)和 KIBA 模型来预测所选化合物的亲和力值。在 MC3T3 - E1 细胞中,SGR 处理的细胞中 ALP 活性显著增加,骨髓巨噬细胞(BMM)显示 TRAP 阳性细胞数量减少。:我们的研究结果表明,SGR 有效抑制/调节炎症反应,防止软骨降解,促进骨再生,可作为开发新型关节炎治疗药物的有前景的候选药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ce/11510151/d137fdc09841/pharmaceuticals-17-01285-g001.jpg

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