Using a Dual-Disease Target Mapping Network Pharmacology Approach, Verbascoside Ameliorates Osteoporosis by Activating Estrogen Signaling to Alleviate Oxidative Stress.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2024-09-06 DOI:10.2174/0113862073312956240826053228
Peitong Wu, Qingguo Lv, Shuo Wang, Xueqin Feng, Kaiyue Zhang, Chunnan Li, Yishan Li, Xiaochen Gao, Jiaming Sun
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Abstract

Background: Verbascoside, a compound classified as a phenylethanol glycoside in Dihuang, has been the subject of modern pharmacological investigations. These studies have revealed its noteworthy antioxidant, anti-inflammatory, memory-enhancing, neuroprotective, antitumor, and various other pharmacological properties. While verbascoside exhibits favorable antioxidant effects, its precise mechanism of action in ameliorating osteoporosis through the treatment of oxidative stress remains unclear.

Methods: This study employed CCK8, ALP, ELISA, and ROS staining techniques to examine the osteoporotic effects of verbascoside on zebrafish and MC3T3-E1 cells. Additionally, this study aimed to investigate the molecular mechanism by which verbascoside improves osteoporosis by mitigating oxidative stress. To identify the common targets of verbascoside in relation to oxidative stress and osteoporosis, network pharmacology and molecular dynamics simulation were employed. The construction of the verbascoside - oxidative stress - osteoporosis - potential target gene network aimed to identify the core targets, while the mechanism of action was elucidated through KEGG analysis, and the accuracy was confirmed by assessing the mRNA expression of the targets.

Results: In vivo experiments demonstrated that verbascoside exhibited therapeutic effects on osteoporosis and reduced ROS production in zebrafish. In vitro experiments further revealed that verbascoside enhanced the proliferation and differentiation of MC3T3-E1 cells, thereby improving the oxidative stress status of osteoblasts. Thirteen core targets and estrogen signaling pathways were identified through the application of network pharmacology. The pivotal role of the estrogen signaling pathway in facilitating the ability of verbascoside to mitigate oxidative stressinduced osteoporosis was substantiated by the modulation of target protein mRNA expression.

Conclusion: The findings underscore the considerable therapeutic potential of verbascoside in ameliorating osteoporosis through the alleviation of oxidative stress, thus establishing it as a promising compound for the treatment of this condition.

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利用双疾病靶点映射网络药理学方法,马鞭草苷通过激活雌激素信号来缓解氧化应激,从而改善骨质疏松症。
背景:马鞭草苷是一种在地黄中被归类为苯乙醇苷的化合物,一直是现代药理学研究的对象。这些研究揭示了其值得注意的抗氧化、抗炎、增强记忆、神经保护、抗肿瘤和其他各种药理特性。虽然马鞭草苷具有良好的抗氧化作用,但其通过治疗氧化应激改善骨质疏松症的确切作用机制仍不清楚:本研究采用CCK8、ALP、ELISA和ROS染色技术研究马鞭草苷对斑马鱼和MC3T3-E1细胞的骨质疏松症作用。此外,本研究还旨在探讨马鞭草苷通过减轻氧化应激改善骨质疏松症的分子机制。为了确定马鞭草苷与氧化应激和骨质疏松症相关的共同靶点,研究人员采用了网络药理学和分子动力学模拟。构建马鞭草苷-氧化应激-骨质疏松症-潜在靶点基因网络的目的是确定核心靶点,同时通过KEGG分析阐明作用机制,并通过评估靶点的mRNA表达确认其准确性:体内实验表明,马鞭草苷对斑马鱼骨质疏松症有治疗作用,并能减少ROS的产生。体外实验进一步表明,马鞭草苷能促进 MC3T3-E1 细胞的增殖和分化,从而改善成骨细胞的氧化应激状态。通过应用网络药理学,确定了 13 个核心靶点和雌激素信号通路。通过调节靶蛋白 mRNA 的表达,证实了雌激素信号通路在促进马鞭草苷缓解氧化应激诱导的骨质疏松症方面的关键作用:研究结果强调了马鞭草苷通过缓解氧化应激改善骨质疏松症的巨大治疗潜力,从而使其成为治疗骨质疏松症的一种前景广阔的化合物。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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