Deciphering the the molecular mechanism of aloe-emodin in managing type II diabetes mellitus using network pharmacology, molecular docking, and molecular dynamics simulation approaches.

In silico pharmacology Pub Date : 2025-03-15 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00337-1
Samuel Baker Obakiro, Kenedy Kiyimba, Yahaya Gavamukulya, Richard Maseruka, Catherine Nabitandikwa, Ronald Kibuuka, Jalia Lulenzi, Tonny Wotoyitide Lukwago, Mercy Chebijira, Moses Opio, Edeya Sharon Tracy, Dan Kibuule, Richard Owor Oriko, Paul Waako, Angela Makaye, Daniel M Shadrack, Moses Andima
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Abstract

Aloe-emodin (AE) has drawn interest due to its potential activity against type II diabetes mellitus (T2DM). However, the mechanisms underlying its antidiabetic activity are not well explored. Using network pharmacology, molecular docking and molecular dynamics simulation studies, we investigated its molecular mechanisms in the management of T2DM. Potential target genes of AE were predicted using the Swiss Target Prediction (http://www.swisstargetprediction.ch/) database. The GeneCards, OMIM and DisGeNET databases were used to compile a comprehensive list of genes associated with T2DM. A compound-disease-target network was constructed, and protein-protein interaction networks were analysed to identify hub genes. Finally, molecular docking and interaction analysis between AE and the identified proteins were performed using AutoDock tools. Investigation of AE targets and genes associated with T2DM identified 32 overlapping genes. Gene ontology studies revealed that AE may exert its anti-diabetic effects by modulating glucose metabolism and enhancing cellular response to glucose. Furthermore, KEGG pathway analysis suggested that AE influences these processes by targeting pathways related to apoptosis, insulin resistance, and T2DM signaling. The core target proteins identified were TNF, ALB, TP53, PPARG, BCL2, CASP3, and EGFR. AE interaction with each of these proteins exhibited a binding energy of > - 5 kcal/mol, with TNF showing the lowest binding energy (- 7.75 kcal/mol). Molecular dynamics simulation further validated the molecular docking results with TNF and EGFR exhibiting a strong affinity for AE and forming stable interactions. AE exerts its antidiabetic activity through multiple mechanisms, with the most significant being the amelioration of pancreatic β-cell apoptosis by binding to and inhibiting the actions of TNFα. Further cellular and molecular studies are needed to validate these findings.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-025-00337-1.

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芦荟大黄素(AE)因其对 II 型糖尿病(T2DM)的潜在活性而备受关注。然而,其抗糖尿病活性的机制尚未得到很好的探索。我们利用网络药理学、分子对接和分子动力学模拟研究,探讨了 AE 在治疗 T2DM 中的分子机制。我们利用瑞士目标预测数据库(http://www.swisstargetprediction.ch/)预测了 AE 的潜在目标基因。我们利用 GeneCards、OMIM 和 DisGeNET 数据库编制了与 T2DM 相关的全面基因列表。构建了化合物-疾病-靶点网络,并分析了蛋白质-蛋白质相互作用网络,以确定枢纽基因。最后,使用 AutoDock 工具进行了 AE 与所识别蛋白质之间的分子对接和相互作用分析。对AE靶点和T2DM相关基因的研究发现了32个重叠基因。基因本体研究显示,AE可能通过调节葡萄糖代谢和增强细胞对葡萄糖的反应来发挥其抗糖尿病作用。此外,KEGG 通路分析表明,AE 通过靶向与细胞凋亡、胰岛素抵抗和 T2DM 信号转导相关的通路来影响这些过程。确定的核心靶蛋白包括 TNF、ALB、TP53、PPARG、BCL2、CASP3 和表皮生长因子受体。AE 与这些蛋白的结合能均大于 - 5 kcal/mol,其中 TNF 的结合能最低(- 7.75 kcal/mol)。分子动力学模拟进一步验证了分子对接结果,TNF 和表皮生长因子受体与 AE 的亲和力很强,并能形成稳定的相互作用。AE 通过多种机制发挥其抗糖尿病活性,其中最重要的机制是通过与 TNFα 结合并抑制 TNFα 的作用来改善胰腺 β 细胞的凋亡。需要进一步的细胞和分子研究来验证这些发现:在线版本包含补充材料,可查阅 10.1007/s40203-025-00337-1。
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