MicroRNA profile analysis in the liver fibrotic tissues of chronic hepatitis B patients
MicroRNA profile analysis in the liver fibrotic tissues of chronic hepatitis B patients
复制标题
慢性乙型肝炎患者肝纤维化组织中的MicroRNA谱分析。
DOI：
10.1111/1751-2980.12452
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发表时间：
2017-02-01
影响因子：
3.5
通讯作者：
Xu, Ming Yi
中科院分区：
文献类型：
--
作者：
Chen, Rong;Wu, Jun Cheng;Xu, Ming Yi
目的：我们的目的是确定微小RNA（miRNA）在不同的纤维化阶段的B肝炎病毒（HBV）相关的肝纤维化患者的特点。方法：收集40例慢性B肝炎（CHB）患者的肝组织在纤维化阶段S 0 -4。结果：共发现105条miRNAs在肝纤维化组织（S1-4组）与非肝纤维化组织（S 0组）中差异表达，差异有统计学意义（P < 0.05）。结合3种分级，发现17种差异miRNA与纤维化分期密切相关（2倍以上变化，P < 0.05）。五个miRNAs的特征与血清生化参数和肝脏炎症分级相关。受试者工作特征（ROC）曲线显示，6种miRNAs在肝纤维化诊断中表现优异，其ROC曲线下面积（AUROC）均大于0.8，其中hsa-miR-214- 3 p的AUROC最高（0.867）。差异miRNAs的基因本体功能主要涉及细胞和发育过程、定位、生物调节、结合、转录调节和细胞器。结论：肝纤维化与miRNA表达谱特征相关，包括17种差异miRNA和23条信号通路。肝脏炎症分级与差异miRNA相关。一些miRNAs可用于肝纤维化的诊断。
OBJECTIVE: We aimed to identify the features of microRNA (miRNA) at different fibrotic stages in patients with hepatitis B virus (HBV)-related liver fibrosis.METHODS: Liver tissues were collected from 40 chronic hepatitis B (CHB) patients at fibrotic stages S0-4. Microarrays of miRNAs and genomic informatics analysis were performed.RESULTS: In total, 105 miRNAs were differentially expressed in fibrotic tissues (S1-4 groups) compared with no fibrotic tissues (S0 group; P < 0.05). Combined with three classifications, 17 differential miRNAs were found to be closely related to fibrotic stages (over twofold change and P < 0.05). Five miRNAs had a signature that correlated with serum biochemical parameters and liver inflammatory grades. The receiver operating characteristic (ROC) curve showed that six miRNAs performed excellently in the diagnosis of liver fibrosis, with the area under the ROC curve (AUROC) over 0.8; among them hsa-miR-214-3p had the highest AUROC (0.867). Gene ontology functions of differential miRNAs mainly involved in the cellular and developmental processes, localization, biological regulation, binding, transcriptional regulator and organelle. We also found that 23 novel signaling pathways were dysregulated in the liver fibrosis.CONCLUSIONS: MiRNA profile signature, including 17 differential miRNAs and 23 dysregulated signaling pathways, was associated with liver fibrosis. Hepatic inflammatory grades were correlated with the differential miRNA. Some miRNAs can be used for the diagnosis of liver fibrosis.