Ying Le, Yan Feng, Zhao Yueling, Gao Hugh, Williams Bryan Rg, Hu Yiqun, Li Xiaofang, Tian Run, Xu Ping, Wang Yuefei
Department of Tea Science, Zhejiang University, Hangzhou, China.
Hudson Institute of Medical Research, Clayton, Vic, Australia.
Clin Exp Pharmacol Physiol. 2017 Dec;44(12):1180-1191. doi: 10.1111/1440-1681.12844. Epub 2017 Oct 3.
Non-alcoholic fatty liver disease (NAFLD) and associated advanced liver diseases have become prevalent conditions in many countries and are associated with increased mortality. Gene expression profiles in NAFLD have been examined recently but changes in expression elicited by chemical compound treatments have not been investigated. Since (-)-Epigallocatechin-3-gallate (EGCG) and atorvastatin (ATST) exhibit similar efficacy in NAFLD models, we reasoned that some common key genes might alter after treatment of EGCG and ATST. Accordingly, we applied integrated bioinformatics analyses of RNA microarray data from EGCG and ATST treatment groups compared to controls in a NAFLD phenotypic mouse model. Using differential expression (DE) analysis, Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis, Gene Set Enrichment Analysis (GSEA) and ClueGO enrichment, shared EGCG and ATST down-regulated pathways were identified which included extracellular matrix (ECM)-receptor interaction and protein processing in endoplasmic reticulum (ER). To refine key genes associated with liver fibrosis, a human NAFLD signature derived from patients of different fibrosis stages was analyzed. The results showed that fibrosis-related genes Col1a1, Col1a2, Col3a1 and Col6a3 were significantly down-regulated. These four genes were further validated as down-regulated in an independent mouse NAFLD dataset. We conclude that EGCG and ATST treatment results in the significant down-regulation of genes related to liver fibrosis.
非酒精性脂肪性肝病(NAFLD)及相关晚期肝病在许多国家已成为常见病症,且与死亡率上升相关。近期已对NAFLD中的基因表达谱进行了研究,但尚未探究化合物处理引发的表达变化。由于(-)-表没食子儿茶素-3-没食子酸酯(EGCG)和阿托伐他汀(ATST)在NAFLD模型中表现出相似的疗效,我们推测在EGCG和ATST处理后,一些共同的关键基因可能会发生改变。因此,在NAFLD表型小鼠模型中,我们对来自EGCG和ATST处理组与对照组的RNA微阵列数据进行了综合生物信息学分析。通过差异表达(DE)分析、京都基因与基因组百科全书(KEGG)通路分析、基因集富集分析(GSEA)和ClueGO富集分析,确定了EGCG和ATST共同下调的通路,其中包括细胞外基质(ECM)-受体相互作用和内质网(ER)中的蛋白质加工。为了优化与肝纤维化相关的关键基因,我们分析了来自不同纤维化阶段患者的人类NAFLD特征。结果显示,纤维化相关基因Col1a1、Col1a2、Col3a1和Col6a3显著下调。在一个独立的小鼠NAFLD数据集中,这四个基因进一步被验证为下调。我们得出结论,EGCG和ATST处理导致与肝纤维化相关的基因显著下调。