肝窦内皮细胞通过间充质转换调控肝纤维化的分子作用机制及药物预测
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1.广西中医药大学;2.广西中医药大学赛恩斯新医药学院;3.广西中医药大学附设中医学校

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广西壮瑶药重点实验室基金资助项目(GXZYYKF2023-05);广西自然科学基金项目(2023GXNSFBA026274; 2024GXNSFAA010235);广西中医药大学赛恩斯新医药学院科研项目(2024ZYZ002; 2024ZZA003; 2024ZZB007; 2024ZZB010)


Molecular mechanism of action and drug prediction of hepatic sinusoidal endothelial cells regulating hepatic fibrosis through mesenchymal transition
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1.Graduate School, Guangxi University of Chinese Medicine;2.Faculty of Chinese Medicine Science, Guangxi University of Chinese Medicine;3.Guangxi University of Chinese Medicine Affiliated School of Traditional Chinese Medicine

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Supported by Guangxi Zhuang and Yao Medicine Key Laboratory Fund (GXZYYKF2023-05); Guangxi Natural Science Foundation (2023GXNSFBA026274; 2024GXNSFAA010235); Research Projects of Science New Medicine College, Guangxi University of Chinese Medicine (2024ZYZ002; 2024ZZA003; 2024ZZB007; 2024ZZB010)

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    摘要:

    目的:通过生物信息学、机器学习和细胞实验,探究肝窦内皮细胞(LSECs)经间充质转换(EnMT)调控肝纤维化的分子机制,并预测天然活性成分。方法:获取肝纤维化(HF)与EnMT基因矩阵,Limma差异分析与WGCNA共表达网络分析后,提取交集基因,进行富集分析。结合随机森林、SVM-RFE和网络拓扑分析,筛选诊断基因,进行免疫浸润分析和天然活性成分预测,最后通过细胞实验对诊断基因的表达情况和预测成分的药理效果进行验证。结果:差异分析得到EnMT相关差异基因3034个,HF相关差异基因4133个;WGCNA分析得到EnMT Hub基因4589个,HF Hub基因763个,提取到38个交集基因,主要富集于基底膜、ECM受体相互作用等机制上。多维度分析筛选出CFP、COL4A2、ITGA1和GRPEL1作为诊断基因。免疫浸润分析显示诊断基因与肥大细胞静息状态、记忆B细胞及记忆CD4+ T细胞间密切相关。RT-PCR结果表明,在Jagged1诱导的模型组中,四个诊断基因的mRNA表达均显著增加(P<0.05)。预测成分谷甾醇、山奈酚和槲皮素与诊断基因间均具有良好的结合活性。ELISA实验进一步证实,三种活性成分均能显著降低Jagged1诱导LSECs中COL4A2蛋白的表达,以槲皮素的作用最为显著(P<0.01)。结论:本研究阐述了肝窦内皮细胞通过间充质转换参与肝纤维化病理进程的分子机制,提出以CFP、COL4A2、ITGA1和GRPEL1为核心的诊断标志物体系,发现槲皮素等天然活性成分能够通过靶向诊断基因,发挥抗肝纤维化的药理作用。

    Abstract:

    OBJECTIVE: To investigate the molecular mechanism of hepatic fibrosis regulation by liver sinusoidal endothelial cells (LSECs) via mesenchymal transition (EnMT) and to predict the natural active components through bioinformatics, machine learning and cellular experiments. METHODS: Hepatic fibrosis (HF) and EnMT gene matrices were obtained, and the intersecting genes were extracted and enriched using Limma difference analysis and WGCNA co-expression network analysis. Combined with Random Forest, SVM-RFE and network topology analysis, the diagnostic genes were screened, and immune infiltration analysis and prediction of natural active ingredients were performed, and finally the expression of diagnostic genes and the pharmacological effects of predicted ingredients were verified by cellular experiments. RESULTS: Differential analysis yielded 3034 EnMT-associated differential genes and 4133 HF-associated differential genes; WGCNA analysis yielded 4589 EnMT-associated Hub genes and 763 HF-associated Hub genes, and 38 intersecting genes were extracted, which were mainly enriched in the pathways of basement membrane and ECM receptor interaction. Four diagnostic genes, CFP, COL4A2, ITGA1 and GRPEL1, were screened by multidimensional analysis. Immune infiltration analysis showed that the diagnostic genes were closely associated with mast cell resting state, memory B cells and memory CD4+ T cells. RT-PCR results showed that the mRNA expression of the four diagnostic genes was significantly increased in the Jagged1-induced model group (P<0.05). The predicted components, sterol, kaempferol and quercetin, all had good binding activities with the diagnostic genes.ELISA experiments further confirmed that all three active components significantly reduced the expression of COL4A2 protein in Jagged1-induced LSECs, with quercetin having the most significant effect (P<0.01). CONCLUSION: In this study, the molecular mechanism of hepatic sinusoidal endothelial cells involved in the pathological process of hepatic fibrosis through mesenchymal transition was elucidated, and a diagnostic marker system with CFP, COL4A2, ITGA1 and GRPEL1 as the core was proposed, and it was found that the natural active ingredients such as quercetin were able to exert anti-hepatic fibrosis pharmacological effects by targeting the diagnostic genes.

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  • 收稿日期:2025-03-15
  • 最后修改日期:2025-04-27
  • 录用日期:2025-05-26
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