基于网络药理学和分子对接的复方丹参滴丸治疗心绞痛的分子机理阐明

IF 2.6 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Xiaocui Tian, Shiqi Yin, Zhiguang Liu, Jinglin Cao, Xinyu Liu, Qi Qiu
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GO enrichment analysis and KEGG pathway analysis were conducted using the R software. Interactions between active ingredients and potential targets selected through the above process were investigated through molecular docking. method: The potential targets of active ingredients in CDDP were sourced from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and the Swiss Target Prediction Database (STPD). Additionally, targets related to AP were retrieved from various databases, including Gene Cards, DisGeNET, Dis Genet, the Drug Bank database (DBD), and the Therapeutic Target Database (TDD). Protein-protein interaction (PPI) networks were also established, and core targets were identified based on their topological significance. GO enrichment analysis and KEGG pathway analysis were conducted using the R software. Interactions between active ingredients and potential targets selected through above processwere investigated through molecular docking. Results: Seventy-six active ingredients were selected with the following criteria: OB ≥ 30%, DL ≥ 0.18. 383 targets of CDDP and 1488 targets on AP were gathered, respectively. Afterwards, 194 common targets of CDDP and anti-AP targets were defined, of which 12 were core targets. GO enrichment analysis indicated that CDDP acted on AP by response to lipopolysaccharide, regulating the reactive oxygen species and metal ion metabolism, and epithelial cell proliferation. In addition, KEGG enrichment analysis indicated that the signaling pathways were notably enriched in lipid and atherosclerosis, fluid shear stress and atherosclerosis, IL-17 signaling pathway, EGFR tyrosine kinase inhibitor resistance, PI3K-Akt signaling pathway, and TNF signaling pathway. Moreover, the molecular docking manifested excellent binding capacity between the active ingredients and targets on AP. result: 76 active ingredients were selected with the following criteria: with OB ≥ 30%, DL ≥ 0.18. 383 targets of CDDP and 1488 targets on AP were gathered, respectively. Afterwards, 194 common targets of CDDP and anti-AP targets were defined, of which 12 were core targets. GO enrichment analysis indicated that CDDP acted on AP by response to lipopolysaccharide, regulating the reactive oxygen species and metal ion metabolism, epithelial cell proliferation. In addition, KEGG enrichment analysis indicated that the signaling pathways were notably enriched in lipid and atherosclerosis, fluid shear stress and atherosclerosis, IL-17 signaling pathway, EGFR tyrosine kinase inhibitor resistance, PI3K-Akt signaling pathway, TNF signaling pathway. Moreover, the molecular docking manifested excellent binding capacity between the active ingredients and targets on AP. 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Protein-protein interaction (PPI) networks were also established, and core targets were identified based on their topological significance. GO enrichment analysis and KEGG pathway analysis were conducted using the R software. Interactions between active ingredients and potential targets selected through above processwere investigated through molecular docking. Results: Seventy-six active ingredients were selected with the following criteria: OB ≥ 30%, DL ≥ 0.18. 383 targets of CDDP and 1488 targets on AP were gathered, respectively. Afterwards, 194 common targets of CDDP and anti-AP targets were defined, of which 12 were core targets. GO enrichment analysis indicated that CDDP acted on AP by response to lipopolysaccharide, regulating the reactive oxygen species and metal ion metabolism, and epithelial cell proliferation. 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引用次数: 0

摘要

背景:复方丹参滴丸(CDDP)作为一种传统中药,在我国心绞痛(AP)的治疗中有着广泛的应用。然而,关于复方丹参滴丸在心绞痛治疗中的生物活性成分和内在机制的研究仍不清楚:CDDP 是一种传统中药,在中国广泛应用于心绞痛的治疗。然而,关于 CDDP 在 AP 中的生物活性成分和内在机制的研究仍不清楚。研究目的在本研究中,我们通过网络药理学和分子对接的应用,探索了 CDDP 的主要化学成分以及与抗心绞痛作用相关的潜在分子机制:在本研究中,我们通过应用网络药理学和分子对接,探索了 CDDP 抗心绞痛作用的主要化学成分和潜在的分子机制。方法:CDDP中有效成分的潜在靶点来自中药系统药理学数据库(TCMSP)和瑞士靶点预测数据库(STPD)。此外,与心绞痛(AP)相关的靶点还来自各种数据库,包括基因卡、DisGeNET、Dis Genet、药物库数据库(DBD)和治疗靶点数据库(TDD)。此外,还建立了蛋白质-蛋白质相互作用[1]网络,并根据其拓扑意义确定了核心靶点。使用 R 软件进行了 GO 富集分析和 KEGG 通路分析。通过分子对接法研究了通过上述过程筛选出的活性成分与潜在靶点之间的相互作用:CDDP 中活性成分的潜在靶点来自中药系统药理学数据库(TCMSP)和瑞士靶点预测数据库(STPD)。此外,还从各种数据库(包括 Gene Cards、DisGeNET、Dis Genet、药物库数据库(DBD)和治疗靶点数据库(TDD))中检索了与 AP 相关的靶点。此外,还建立了蛋白质-蛋白质相互作用(PPI)网络,并根据其拓扑意义确定了核心靶点。使用 R 软件进行了 GO 富集分析和 KEGG 通路分析。通过分子对接研究了通过上述过程筛选出的活性成分与潜在靶点之间的相互作用。结果根据以下标准筛选出 76 种活性成分:OB≥30%,DL≥0.18。分别收集了 CDDP 的 383 个靶标和 AP 的 1488 个靶标。随后,确定了194个CDDP共同靶标和抗AP靶标,其中12个为核心靶标。GO富集分析表明,CDDP通过对脂多糖的反应、调节活性氧和金属离子代谢以及上皮细胞增殖作用于AP。此外,KEGG富集分析表明,信号通路显著富集于脂质与动脉粥样硬化、流体剪切应力与动脉粥样硬化、IL-17信号通路、表皮生长因子受体酪氨酸激酶抑制剂抗性、PI3K-Akt信号通路和TNF信号通路。此外,分子对接表明活性成分与 AP 上的靶点之间具有良好的结合能力。分别收集了 CDDP 的 383 个靶标和 AP 的 1488 个靶标。随后,确定了 CDDP 的 194 个共同靶标和抗 AP 靶标,其中 12 个为核心靶标。GO富集分析表明,CDDP通过对脂多糖的反应、调节活性氧和金属离子代谢、上皮细胞增殖等作用于AP。此外,KEGG富集分析表明,信号通路在脂质与动脉粥样硬化、流体剪切应力与动脉粥样硬化、IL-17信号通路、表皮生长因子受体酪氨酸激酶抑制剂耐受性、PI3K-Akt信号通路、TNF信号通路中富集显著。此外,分子对接结果表明,活性成分与 AP 上的靶点之间具有良好的结合能力。结论本研究全面阐述了 CDDP 对 AP 的生物活性、潜在靶点和分子机制,为 CDDP 预防和治疗 AP 的分子机制提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elucidation of the Molecular Mechanism of Compound Danshen Dripping Pills Against Angina Pectoris based on Network Pharmacology and Molecular Docking
Background: Compound Danshen dripping pills (CDDP), a traditional Chinese medicine, has had an extensive application in the treatment of angina pectoris (AP) in China. However, research on the bioactive ingredients and underlying mechanisms of CDDP in AP remains unclear. background: CDDP, a traditional Chinese medicine, has had an extensive application in the treatment of AP in China. However, research on the bioactive ingredients and underlying mechanisms of CDDP in AP remains unclear. Objective: In the present study, we explored the major chemical components and potential molecular mechanisms linked to the anti-angina effects of CDDP through the application of network pharmacology and molecular docking. objective: In the present study, we explored the major chemical components and potential molecular mechanisms linked to the anti-angina effects of CDDP through the application of network pharmacology and molecular docking. Methods: The potential targets of active ingredients in CDDP were sourced from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and the Swiss Target Prediction Database (STPD). Additionally, targets related to angina pectoris (AP) were retrieved from various databases, including Gene Cards, DisGeNET, Dis Genet, the Drug Bank database (DBD), and the Therapeutic Target Database (TDD). Protein- protein interaction [1] networks were also established, and core targets were identified based on their topological significance. GO enrichment analysis and KEGG pathway analysis were conducted using the R software. Interactions between active ingredients and potential targets selected through the above process were investigated through molecular docking. method: The potential targets of active ingredients in CDDP were sourced from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and the Swiss Target Prediction Database (STPD). Additionally, targets related to AP were retrieved from various databases, including Gene Cards, DisGeNET, Dis Genet, the Drug Bank database (DBD), and the Therapeutic Target Database (TDD). Protein-protein interaction (PPI) networks were also established, and core targets were identified based on their topological significance. GO enrichment analysis and KEGG pathway analysis were conducted using the R software. Interactions between active ingredients and potential targets selected through above processwere investigated through molecular docking. Results: Seventy-six active ingredients were selected with the following criteria: OB ≥ 30%, DL ≥ 0.18. 383 targets of CDDP and 1488 targets on AP were gathered, respectively. Afterwards, 194 common targets of CDDP and anti-AP targets were defined, of which 12 were core targets. GO enrichment analysis indicated that CDDP acted on AP by response to lipopolysaccharide, regulating the reactive oxygen species and metal ion metabolism, and epithelial cell proliferation. In addition, KEGG enrichment analysis indicated that the signaling pathways were notably enriched in lipid and atherosclerosis, fluid shear stress and atherosclerosis, IL-17 signaling pathway, EGFR tyrosine kinase inhibitor resistance, PI3K-Akt signaling pathway, and TNF signaling pathway. Moreover, the molecular docking manifested excellent binding capacity between the active ingredients and targets on AP. result: 76 active ingredients were selected with the following criteria: with OB ≥ 30%, DL ≥ 0.18. 383 targets of CDDP and 1488 targets on AP were gathered, respectively. Afterwards, 194 common targets of CDDP and anti-AP targets were defined, of which 12 were core targets. GO enrichment analysis indicated that CDDP acted on AP by response to lipopolysaccharide, regulating the reactive oxygen species and metal ion metabolism, epithelial cell proliferation. In addition, KEGG enrichment analysis indicated that the signaling pathways were notably enriched in lipid and atherosclerosis, fluid shear stress and atherosclerosis, IL-17 signaling pathway, EGFR tyrosine kinase inhibitor resistance, PI3K-Akt signaling pathway, TNF signaling pathway. Moreover, the molecular docking manifested excellent binding capacity between the active ingredients and targets on AP. Conclusion: This study comprehensively illustrated the bioactive, potential targets, and molecular mechanisms of CDDP against AP, offering fresh perspectives into the molecular mechanisms of CDDP in preventing and treating AP.
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来源期刊
CiteScore
6.30
自引率
0.00%
发文量
302
审稿时长
2 months
期刊介绍: Current Pharmaceutical Design publishes timely in-depth reviews and research articles from leading pharmaceutical researchers in the field, covering all aspects of current research in rational drug design. Each issue is devoted to a single major therapeutic area guest edited by an acknowledged authority in the field. Each thematic issue of Current Pharmaceutical Design covers all subject areas of major importance to modern drug design including: medicinal chemistry, pharmacology, drug targets and disease mechanism.
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