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探讨胡椒属植物果实成分治疗阿尔茨海默病的多靶点潜力:一种人工智能驱动的策略。

Exploring multitarget potential of Piper nigrum fruit constituents for Alzheimer's disease: An AI-driven strategy.

机构信息

Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS (Deemed to be University), Mumbai 400056, India; Department of Pharmacognosy, GITAM School of Pharmacy, GITAM (Deemed to be University), Visakhapatnam 530045, India.

Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS (Deemed to be University), Mumbai 400056, India.

出版信息

Phytomedicine. 2024 Dec;135:156108. doi: 10.1016/j.phymed.2024.156108. Epub 2024 Sep 29.

Abstract

BACKGROUND

Alzheimer's disease (AD) is a neurodegenerative disease that leads to development of cognition and memory dysfunctions. Currently, there is no known cure for AD, although limited medications are approved for the management of disease condition. Various plant-based leads give new hope for considering phytoconstituents as anti-AD drugs. The Piper nigrum L. fruit extract was reported to have anti-Alzheimer's activity. It creates an interest in the finding of active moieties that may be accountable for anti-AD activity.

HYPOTHESIS/PURPOSE: Identification of multitarget directed ligands isolated from Piper nigrum fruits through AI based studies.

STUDY DESIGN

The phytochemical analysis of alkaloid fraction was carried out by LCMS, followed by the evaluation of constituents through in silico studies.

METHODS

The fruits methanolic extract was prepared by cold maceration technique. The chemical profiling of the alkaloidal fraction was carried out using LCMS/MS analysis. The obtained compound's target hit genes were identified through network pharmacology studies using String, Metascape, and Cytoscape tools. Further, docking studies and MD simulations were carried out using AutoDock4 and Desmond-Maestro software. Then, electrochemical properties of hit compound P4 were determined using Gaussview6 software.

RESULTS

From LCMS/MS analysis data, 29 compounds were considered based on compound intensity and accuracy (>95 %). Then, 41 common gene targets were identified from AD genes and compound-targeted genes. The 41 common genes in the PPI network suggested that AChE and BACE1 were the most abundant proteins. Further, docking studies revealed the hit compound P4 binding interaction and energies when compared to other 28 ligands. The molecular dynamics studies showed that P4-AChE and P4-BACE1 complexes were stable, and there were no RMSD and RMSF fluctuations were observed up to 100 ns. Further, PCA and MM-GBSA analysis data supported that complexes (P4-AChE and P4-BACE1) were stable. The DFT and surface properties indicated that compound P4 was ideal candidate for AD treatment and must be considered for further biological activity studies.

CONCLUSION

The study identified compound P4 (dehydropipernonaline) from alkaloidal fraction of Piper nigrum fruits, suggesting it may be hit candidate for AD treatment.

摘要

背景

阿尔茨海默病(AD)是一种神经退行性疾病,可导致认知和记忆功能障碍。目前,尚无针对 AD 的已知治愈方法,尽管有限的药物被批准用于管理疾病状况。各种植物来源的先导化合物为将植物化合物视为抗 AD 药物带来了新的希望。黑胡椒果实提取物具有抗阿尔茨海默病的活性。这使得人们对可能负责抗 AD 活性的活性部分的发现产生了兴趣。

假设/目的:通过基于人工智能的研究从黑胡椒果实中鉴定出多靶标导向配体。

研究设计

通过 LCMS 进行生物碱部分的植物化学分析,然后通过计算机模拟研究评估成分。

方法

采用冷浸法制备胡椒果实的甲醇提取物。通过 LCMS/MS 分析对生物碱部分进行化学分析。通过使用 String、Metascape 和 Cytoscape 工具的网络药理学研究确定获得化合物的靶标命中基因。进一步,使用 AutoDock4 和 Desmond-Maestro 软件进行对接研究和 MD 模拟。然后,使用 Gaussview6 软件确定命中化合物 P4 的电化学性质。

结果

根据化合物强度和准确性(>95%),从 LCMS/MS 分析数据中考虑了 29 种化合物。然后,从 AD 基因和化合物靶基因中确定了 41 个共同的基因靶标。PPI 网络中的 41 个共同基因表明 AChE 和 BACE1 是最丰富的蛋白质。进一步,对接研究表明,与其他 28 种配体相比,命中化合物 P4 具有结合相互作用和能量。分子动力学研究表明,P4-AChE 和 P4-BACE1 复合物是稳定的,在 100 ns 内没有观察到 RMSD 和 RMSF 波动。进一步,PCA 和 MM-GBSA 分析数据支持复合物(P4-AChE 和 P4-BACE1)是稳定的。DFT 和表面性质表明,化合物 P4 是治疗 AD 的理想候选药物,必须考虑进一步的生物学活性研究。

结论

该研究从黑胡椒果实的生物碱部分中鉴定出化合物 P4(脱水胡椒诺林),表明它可能是治疗 AD 的候选药物。

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