通过网络药理学和实验验证,揭示西尼煎剂抗肾脏纤维化的药理机制。

Wang Yan, Deng Fanying, Liu Shiqi, Wang Yingli
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引用次数: 0

摘要

目的研究基于转化生长因子β1/Smad(TGF-β1/Smad)信号通路的西尼煎剂(SND)改善大鼠肾脏纤维化(Rf)的机制:方法:应用网络药理学获得SND改善Rf效应的潜在信号通路。通过检索中药系统药理学数据库与分析平台(TCSMP)和 GeenCard 等数据库,获得 SND 药物成分的靶点和 Rf 的靶点。两次搜索得到的交叉靶点通过维恩图进行信号通路分析。然后利用实验药理学证明并研究了SND对TGF-β1/Smad信号通路中靶蛋白的影响。通过单侧输尿管闭塞(UUO)建立了 Rf 大鼠模型。大鼠肾组织马森染色法和免疫组化法测定了转化生长因子、基质金属蛋白酶-9(MMP-9)、基质金属蛋白酶-2(MMP-2)、结缔组织生长因子(CTGF)和组织金属蛋白酶抑制剂-1(TIMP-1)的表达水平。大鼠肾组织中 Smad3、Smad2 和 Smad7 的表达水平通过 Western 印迹(WB)法测定。根据 TGF-β1/Smad 信号通路研究了 SND 对 Rf 改善作用的机制:结果:通过数据库检索获得了12种附子药物成分、5种赣江药物成分和9种甘草药物成分,发现了207个共有靶点。数据库检索共发现 1063 个 Rf 靶点。根据维恩图,两次数据库搜索共发现 96 个交叉靶标。涉及的代谢通路包括 TGF-β 信号通路、磷脂酰肌醇-3-激酶/丝氨酸-苏氨酸蛋白激酶信号通路(PI3K/Akt)和缺氧诱导因子-1(HIF-1)信号通路。马森染色分析显示,与模型组相比,SSN 组和 SND 组的肾间质胶原沉积水平明显降低(P 0.05)。免疫组化分析显示,与对照组相比,模型组肾脏组织中 MMP-9/TIMP-1 和 MMP-2/TIMP-1 的阳性细胞面积表达水平明显降低(P 0.05,P 0.01),CTGF 和 TGF-β1 的阳性细胞面积表达水平明显升高(P 0.01)。与模型组相比,SSN 组和 SND 组肾脏组织中 MMP-9/TIMP-1 和 MMP-2/TIMP-1 的阳性细胞面积表达水平明显升高(P 0.05,P 0.01),肾脏组织中 CTGF 和 TGF-β1 的阳性细胞面积表达水平明显降低(P 0.05,P 0.01)。WB结果显示,SSN组和SND组能减少Smad2和Smad3的表达(P 0.05),增加Smad7的表达(P 0.05)。
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Network pharmacology and experimental validation to reveal the pharmacological mechanisms of Sini decoction against renal fibrosis.

Objective: To investigate the mechanism by which Sini decoction (, SND) improves renal fibrosis (Rf) in rats based on transforming growth factor β1/Smad (TGF-β1/Smad) signaling pathway.

Methods: Network pharmacology was applied to obtain potentially involved signaling pathways in SND's improving effects on Rf. The targets of SND drug components and the targets of Rf were obtained by searching databases, such as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCSMP) and GeenCard. The intersection targets of two searches were obtained and underwent signaling pathway analysis using a Venn diagram. Then experimental pharmacology was utilized to prove and investigate the effects of SND on target proteins in the TGF-β1/Smad signaling pathway. The Rf rat model was established by unilateral ureteral occlusion (UUO). The expression levels of transforming growth factor, matrix metalloproteinase-9 (MMP-9), matrix metal protease-2 (MMP-2), connective tissue growth factor (CTGF), and tissue inhibitor of metalloproteinase-1 (TIMP-1) were determined by Masson staining of rat renal tissue, and immunohistochemical methods. The expression levels of Smad3, Smad2, and Smad7 in renal tissue were determined by Western blotting (WB). The mechanism of the improving effects of SND on Rf was investigated based on TGF-β1/Smad signaling pathway.

Results: A total of 12 drug components of Fuzi (Radix Aconiti Lateralis Preparata), 5 drug components of Ganjiang (Rhizoma Zingiber), and 9 drug components of Gancao (Radix Glycy et Rhizoma) were obtained from the database search, and 207 shared targets were found. A total of 1063 Rf targets were found in the database search. According to the Venn diagram, in total, 96 intersection targets were found in two database searches. The metabolic pathways involved included TGF-β signaling pathway, phosphatidylinositol-3-kinase/serine-threonine protein kinase signaling (PI3K/Akt) pathway, and hypoxia-inducible factor-1 (HIF-1) signaling pathway. Masson staining analysis showed that compared with the model group, the renal interstitial collagen deposition levels in the SSN and SND groups were significantly lower (P < 0.05). Immunohistochemical analysis, compared with the control group, the positive cell area expression levels of MMP-9/TIMP-1 and MMP-2/TIMP-1 in the kidney tissue of the model group were significantly decreased (P < 0.05, P < 0.01), and the positive cell area expression levels of CTGF and TGF-β1 were significantly increased (P < 0.01). Compared with the model group, the positive cell area expression levels of MMP-9/TIMP-1 and MMP-2/TIMP-1 in the kidney tissue of the SSN and SND groups were significantly increased (P < 0.05, P < 0.01), and the positive cell area expression levels of CTGF and TGF-β1 in the kidney tissue were significantly decreased (P < 0.05, P < 0.01). WB results showed that the SSN group and the SND group could reduce the expression of Smad2 and Smad3 (P < 0.05) and increase the expression of Smad7 (P < 0.05).

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