基于网络药理学和孟德尔随机化分析脱花煎治疗妊娠胚物残留的作用机制
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R285

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广州中医药大学第一附属医院青优人才项目(中医一院[2023]186号)


Analysis of Mechanism of Tuohua Decoction in the Treatment of Retained Products of Conception Based on Network Pharmacology and Mendelian Randomization
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    摘要:

    目的:整合网络药理学、分子对接、分子动力学模拟及孟德尔随机化解析脱花煎治疗妊娠胚物残留的作用机制。方法:利用TCMSP、SwissTargetPrediction数据库筛选脱花煎的活性成分与靶点;从GeneCards、OMIM 和DisGeNET 数据库中获取妊娠胚物残留疾病相关靶点;取交集后构建“成分-靶点”网络与蛋白互作(PPI) 网络;利用DAVID数据库进行基因本体(GO) 功能与京都基因与基因组百科全书(KEGG) 通路富集分析;对主要活性成分与核心靶点进行分子对接和分子动力学模拟分析。最后,基于eQTLGen和FinnGenR12数据库对核心靶点进行孟德尔随机化分析。结果:获得脱花煎58个成分、595个靶点,疾病靶点2 527个,与疾病靶点交集后得38个共同靶点。获得脱花煎治疗妊娠胚物残留的主要活性成分为槲皮素、β-谷甾醇、豆甾醇、山柰酚和黄芩素等,核心靶点为表皮生长因子受体(EGFR)、信号转导与转录激活因子3(STAT3)、人表皮生长因子受体2(ERBB2)、哺乳动物雷帕霉素靶蛋白(mTOR)、细胞周期蛋白D1(CCND1)。GO功能分析主要涉及对内源性刺激及含氧化合物的反应、细胞群体增殖调控、蛋白激酶活性等生物学过程。KEGG通路分析主要涉及低氧诱导因子-1(HIF-1) 信号通路、钙信号通路、辅助性T细胞17(Th17) 细胞分化通路、磷脂酰肌醇3-激酶(PI3K) -蛋白激酶B (Akt) 通路等。分子对接及分子动力学模拟显示槲皮素、β-谷甾醇、豆甾醇、山柰酚和黄芩素分别能与EGFR、STAT3、ERBB2、mTOR和CCND1产生较强的结合力。孟德尔随机化分析提示mTOR与妊娠胚物残留存在因果联系。结论:脱花煎治疗妊娠胚物残留可能是通过多成分、多靶点、多通路发挥改善组织缺氧、抑制细胞增殖、减弱炎症反应以及增强子宫收缩等实现。

    Abstract:

    Abstract:Objective:To elucidate the mechanism of Tuohua Decoction in the treatment of retained products of conception (RPOC) by integrating network pharmacology, molecular docking, molecular dynamics simulation, and Mendelian randomization. Methods: The active ingredients and corresponding targets of Tuohua Decoction were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and SwissTargetPrediction. RPOC-related targets were obtained from The Human Gene Database (GeneCards), Online Mendelian Inheritance in Man (OMIM), and DisGeNET. After intersecting the drug targets with disease targets, an "ingredient-target" network and a protein-protein interaction (PPI) network were constructed. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Molecular docking and molecular dynamics simulation analyses were conducted on the core ingredients and core targets. Finally, Mendelian randomization analysis of the core targets was performed based on the eQTLGen and FinnGen R12 databases. Results:A total of 58 ingredients targeting 595 proteins of Tuohua Decoction were identified,2 527 disease targets of RPOC were retrieved, yielding 38 overlapping targets after intersection. The main active ingredients of Tuohua Decoction for RPOC were identified as quercetin, β-sitosterol, stigmasterol, kaempferol, and baicalein, and the core targets as epidermal growth factor receptor (EGFR),signal transducer and activator of transcription 3 (STAT3), human epidermal growth factor receptor 2 (ERBB2), mammalian target of rapamycin (mTOR), and cyclin D1 (CCND1). GO functional analysis mainly involved biological processes such as response to endogenous stimuli and oxygen-containing compounds,regulation of cell population proliferation,and protein kinase activity. KEGG pathway analysis mainly involved the hypoxia-inducible factor 1 (HIF-1) signaling pathway, calcium signaling pathway, helper T cell 17 (Th17) cell differentiation pathway, and phosphatidylinositol 3-kinase (PI3K)-protein kinase B (Akt) signaling pathway. Molecular docking and molecular dynamics simulations demonstrated that strong binding affinities between quercetin,β-sitosterol,stigmasterol,kaempferol,and baicalein with EGFR,STAT3,ERBB2, mTOR, and CCND1, respectively. Mendelian randomization analysis suggested a causal relationship between mTOR and RPOC. Conclusion:Tuohua Decoction may exert its therapeutic effects in the treatment of RPOC through multiingredient, multi-target, and multi-pathway mechanisms, including improving tissue hypoxia, inhibiting cell proliferation,reducing inflammatory responses,and enhancing uterine contraction.

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杨利利,裴芳利,吴李征.基于网络药理学和孟德尔随机化分析脱花煎治疗妊娠胚物残留的作用机制[J].新中医,2026,58(19):212-224

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  • 在线发布日期: 2026-10-16
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