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西黄丸抗弥漫大B细胞淋巴瘤的作用机制预测与验证
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黄茹意 ,李金宇 ,林文琪 ,江 鑫 ,陈燕玲 ,黄伟昆 ,杨 琳 (1.福建医科大学肿瘤临床医学院/福建省肿瘤
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医院药学部,福州 350011;2.福州大学化学学院,福州 350108;3.福建中医药大学药学院,福州 350122)
中图分类号 R965;R733.4 文献标志码 A 文章编号 1001-0408(2026)02-0161-07
DOI 10.6039/j.issn.1001-0408.2026.02.05
摘 要 目的 探讨西黄丸抗弥漫大B细胞淋巴瘤(DLBCL)的作用机制。方法 基于TCMSP、GeneCards、DisGeNET等数据库筛
选西黄丸活性成分及DLBCL相关疾病靶点;利用String数据库和Cytoscape软件,构建蛋白质-蛋白质相互作用网络以筛选核心成
分与核心靶点,然后进行基因本体功能和京都基因与基因组数据库通路富集分析;利用GEPIA和PanCanSurvPlot数据库分析核心
靶点的临床相关性;进一步对核心成分与核心靶点进行分子对接和分子动力学模拟验证,并采用分子力学泊松-玻尔兹曼表面积
(MM-PBSA)算法计算结合自由能。采用CCK-8法、流式细胞术及Western blot法验证西黄丸对DLBCL的作用及相关分子机制。
结果 网络药理学共筛选出108个西黄丸活性成分和410个西黄丸治疗DLBCL的潜在靶点,获得17 beta-estradiol(17β-雌二醇)、
quercetin(槲皮素)等 6 个核心成分,肿瘤蛋白 53(TP53)、酪氨酸蛋白激酶 Src(SRC)等 10 个核心靶点。富集分析显示,西黄丸抗
DLBCL 主要涉及凋亡信号通路、磷脂酰肌醇 3-激酶(PI3K)/蛋白激酶 B(Akt)信号通路等。临床相关性分析显示,TP53、SRC 在
DLBCL样本中高表达,且与患者不良预后相关(P<0.05)。分子对接、分子动力学模拟及MM-PBSA结合自由能计算证实,SRC-
槲皮素复合物具有更强而稳定的结合亲和力。体外实验结果显示,西黄丸可浓度依赖性抑制DLBCL细胞的增殖;与对照组比较,
西黄丸中、高浓度组可显著诱导 SU-DHL2 和 SU-DHL4 细胞凋亡,显著降低 SU-DHL4 细胞中 SRC 蛋白、磷酸化 PI3K(p-PI3K)/
PI3K、p-Akt/Akt的表达(P<0.05)。结论 西黄丸可能通过调控SRC/PI3K/Akt信号通路抑制DLBCL细胞增殖并诱导其凋亡。
关键词 西黄丸;弥漫大B细胞淋巴瘤;网络药理学;分子对接;分子动力学模拟
Mechanism prediction and verification of Xihuang pill against diffuse large B-cell lymphoma
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HUANG Ruyi ,LI Jinyu ,LIN Wenqi ,JIANG Xin ,CHEN Yanling ,HUANG Weikun ,YANG Lin(1. Dept. of
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Pharmacy, Fujian Cancer Hospital/Clinical Oncology School of Fujian Medical University, Fuzhou 350011,
China;2. College of Chemistry, Fuzhou University, Fuzhou 350108, China;3. School of Pharmacy, Fujian
University of Traditional Chinese Medicine, Fuzhou 350122, China)
ABSTRACT OBJECTIVE To investigate the mechanism of Xihuang pill (XHP) against diffuse large B-cell lymphoma
(DLBCL). METHODS The active ingredients of XHP and potential therapeutic targets for DLBCL were identified using TCMSP,
GeneCards and DisGeNET databases. Protein-protein interaction networks were constructed using the String database and Cytoscape
software to screen core components and core targets. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway
enrichment analyses were then performed. The clinical relevance of core targets was analyzed using the GEPIA and PanCanSurvPlot
databases. Molecular docking and molecular dynamics (MD) simulation were conducted to verify the interactions between core
components and core targets, and the binding free energy was calculated using the molecular mechanics Poisson-Boltzmann
surface area (MM-PBSA) method. The effects of XHP on DLBCL and the related molecular mechanisms were validated using
CCK-8 assay, flow cytometry and Western blot. RESULTS Network pharmacology analysis identified 108 active ingredients of
XHP and 410 potential therapeutic targets for DLBCL. Six core components (e.g., 17 beta-estradiol, quercetin) and ten core targets
[e.g., tumor protein 53 (TP53), proto-oncogene tyrosine-protein kinase Src (SRC)] were obtained. Enrichment analysis indicated
that the anti-DLBCL effects of XHP were primarily associated with the apoptotic signaling pathway, the phosphoinositide 3-kinase
(PI3K)/protein kinase B (Akt) signaling pathway and so on.
Δ 基金项目 福建省卫健委科技计划项目(No.2022CXA027);福 Clinical correlation analysis revealed that TP53 and SRC
建省科技创新联合资金项目(No.2025Y9690);福建医科大学启航项目 expression were significantly up-regulated in DLBCL tissues
(No.2023QH1155) and associated with poor patient prognosis (P<0.05).
*第一作者 主管药师,硕士。研究方向:肿瘤药理学。E-mail:
Molecular docking, MD simulations and MM-PBSA
1203281018@qq.com
# 通信作者 主任药师,硕士生导师。研究方向:临床药学。E- calculations confirmed that the SRC-quercetin complex had a
mail:LinYang@fjzlhospital.com stronger and more stable binding affinity. In vitro experiments
中国药房 2026年第37卷第2期 China Pharmacy 2026 Vol. 37 No. 2 · 161 ·

