基于转录组学分析不同肝损伤诱导因素对肝星状细胞的影响

    Transcriptomics-based Analysis of the Effects of Different Liver Injury-inducing Factors on Hepatic Stellate Cells

    • 摘要:
      目的  探讨不同的肝纤维化刺激因子包括转化生长因子β1(transforming growth factor-β1,TGF-β1)、对乙酰氨基酚(acetaminophen,APAP)和脂多糖(lipopolysaccharide,LPS)对肝星状细胞LX-2的影响及潜在作用机制。
      方法 实验分为未做任何处理的对照组和实验组TGF-β1组(50 ng·mL−1)、APAP组(20 mmol·L−1)和LPS组(100 ng·mL−1),药物处理时间均为24 h,收集各组细胞样本。利用转录组测序从增殖、凋亡、炎症、纤维化等标志物的表达改变情况进行分析,并进行了RT-PCR的实验验证。采用功能富集分析和蛋白互作网络探讨潜在作用机制。数据统计分析多组间比较采用单因素方差分析(One-way ANOVA),两两比较采用LSD-t检验。
      结果 TGF-β1可以有效地启动LX-2的活化过程,表达经典的纤维化标记基因肌动蛋白α2(actin alpha 2,ACTA2)、Ⅰ型胶原(collagen type I alpha 1,COL1A1)和黏连蛋白(fibronectin,FN1);LPS可以激活ACTA2的表达,但是COL1A1FN1这些肌成纤维细胞(myofibroblast,MFB)的细胞外基质(extracellular matrix,ECM)沉积相关基因反而下降;APAP不能引起ACTA2COL1A1表达的激活,只能影响FN1表达的增加(P<0.001)。通过RT-PCR验证了测序数据的可靠性(P<0.05)。通过功能富集分析发现TGF-β1和LPS可能通过PI3K-Akt信号通路、细胞因子-细胞因子受体相互作用信号通路参与炎症和肝纤维化的调控,TGF-β1还可能通过ECM受体相互作用和糖尿病并发症中的AGE-RAGE信号通路参与纤维化和糖代谢的过程,LPS可能通过肿瘤坏死因子信号通路、补体和凝血级联信号通路参与炎症反应的发生。而APAP则主要可能通过调控细胞的衰老、凋亡、癌症中的蛋白聚糖以及MAPK信号通路参与细胞增殖凋亡等代谢过程。通过蛋白互作网络分析分别找到了不同刺激条件下的关键调控基因并进行了实验验证。其中ITGB3ITGAVFN1处于TGF-β1刺激下的核心位置;PIK3R1FOSCDC42处于APAP刺激下的核心位置;ITGAMCXCL8CCL2IFIH1处于LPS刺激下的核心位置。
      结论 TGF-β1和LPS会引发一定程度的炎症反应,TGF-β1会伴随肝纤维化发生,而LPS则可能引起纤维化胶原降解,APAP可能导致LX-2的凋亡和坏死。基于不同刺激因子的模型选择对于疾病的机制研究、靶点发现和药物研发具有重要作用。

       

      Abstract:
      OBJECTIVE To explore the effects and potential mechanisms of different liver fibrosis stimuli including transforming growth factor-β1(TGF-β1), acetaminophen(APAP), and lipopolysaccharide(LPS) on the hepatic stellate cells(HSCs) LX-2.
      METHODS The experiment was divided into a control group and experimental groups that were treated with TGF-β1(50 ng·mL−1), APAP(20 mmol·L−1), and LPS(100 ng·mL−1) for 24 h. Cell samples were collected from each group. Used transcriptome sequencing to analyze the changes in expression of markers such as proliferation, apoptosis, inflammation, fibrosis and performed RT-PCR experimental verification. Potential mechanisms were explored using functional enrichment analysis and protein interaction networks. Data statistical analysis was performed using one-way ANOVA for multiple group comparisons and LSD-t test for pairwise comparisons.
      RESULTS TGF-β1 could effectively initiate the activation process of LX-2, express classical fibrosis marker genes actin alpha 2(ACTA2), collagen type I alpha 1(COL1A1) and fibronectin(FN1); LPS could activate the expression of ACTA2, but genes related to the deposition of extracellular matrix(ECM) of these myofibroblasts(MFBs) such as COL1A1 and FN1 were downregulated; APAP couldn't activate the expression of ACTA2 and COL1A1, but could only affect the increase in FN1 expression(P<0.001). The reliability of the sequencing data was verified by RT-PCR(P<0.05). Functional enrichment analysis found that TGF-β1 and LPS might participate in the regulation of inflammation and liver fibrosis through PI3K-Akt signaling pathway and cytokine-cytokine receptor interaction signaling pathway. TGF-β1 might also participate in fibrosis and glucose metabolism through ECM receptor interaction and AGE-RAGE signaling pathway in diabetes complications. LPS might participate in the occurrence of inflammatory reactions through tumor necrosis factor signaling pathway, complement and coagulation cascades signaling pathway. APAP might mainly participate in metabolic processes such as cell proliferation and apoptosis by regulating protein polysaccharides in aging, apoptosis, cancer and MAPK signaling pathways. Key regulatory genes under different stimulation conditions were found by protein interaction network analysis and experimentally verified. Among them, ITGB3, ITGAV and FN1 were located at the core position under TGF-β1 stimulation; PIK3R1, FOS and CDC42 were located at the core position under APAP stimulation; ITGAM, CXCL8, CCL2 and IFIH1 were located at the core position under LPS stimulation.
      CONCLUSION TGF-β1 and LPS trigger a certain degree of inflammatory response, TGF-β1 is associated with liver fibrosis, while LPS may cause collagen degradation in fibrosis, APAP may lead to apoptosis and necrosis of LX-2. The selection of models based on different stimuli plays an important role in the research of disease mechanisms, target discovery and drug development.

       

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