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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 ·
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