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Microarray analysis of MicroRNA expression in peripheral blood mononuclear cells of critically ill patients with influenza A (H1N1)

机译:危重甲型流感(H1N1)患者外周血单个核细胞中MicroRNA表达的微阵列分析

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Background With concerns about the disastrous health and economic consequences caused by the influenza pandemic, comprehensively understanding the global host response to influenza virus infection is urgent. The role of microRNA (miRNA) has recently been highlighted in pathogen-host interactions. However, the precise role of miRNAs in the pathogenesis of influenza virus infection in humans, especially in critically ill patients is still unclear. Methods We identified cellular miRNAs involved in the host response to influenza virus infection by performing comprehensive miRNA profiling in peripheral blood mononuclear cells (PBMCs) from critically ill patients with swine-origin influenza pandemic H1N1 (2009) virus infection via miRNA microarray and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) assays. Receiver operator characteristic (ROC) curve analysis was conducted and area under the ROC curve (AUC) was calculated to evaluate the diagnostic accuracy of severe H1N1 influenza virus infection. Furthermore, an integrative network of miRNA-mediated host-influenza virus protein interactions was constructed by integrating the predicted and validated miRNA-gene interaction data with influenza virus and host-protein-protein interaction information using Cytoscape software. Moreover, several hub genes in the network were selected and validated by qRT-PCR. Results Forty-one significantly differentially expressed miRNAs were found by miRNA microarray; nine were selected and validated by qRT-PCR. QRT-PCR assay and ROC curve analyses revealed that miR-31, miR-29a and miR-148a all had significant potential diagnostic value for critically ill patients infected with H1N1 influenza virus, which yielded AUC of 0.9510, 0.8951 and 0.8811, respectively. We subsequently constructed an integrative network of miRNA-mediated host-influenza virus protein interactions, wherein we found that miRNAs are involved in regulating important pathways, such as mitogen-activated protein kinase signaling pathway, epidermal growth factor receptor signaling pathway, and Toll-like receptor signaling pathway, during influenza virus infection. Some of differentially expressed miRNAs via in silico analysis targeted mRNAs of several key genes in these pathways. The mRNA expression level of tumor protein T53 and transforming growth factor beta receptor 1 were found significantly reduced in critically ill patients, whereas the expression of Janus kinase 2, caspase 3 apoptosis-related cysteine peptidase, interleukin 10, and myxovirus resistance 1 were extremely increased in critically ill patients. Conclusions Our data suggest that the dysregulation of miRNAs in the PBMCs of H1N1 critically ill patients can regulate a number of key genes in the major signaling pathways associated with influenza virus infection. These differentially expressed miRNAs could be potential therapeutic targets or biomarkers for severe influenza virus infection.
机译:背景技术由于担心由流感大流行引起的灾难性的健康和经济后果,因此全面了解全球宿主对流感病毒感染的反应是当务之急。 microRNA(miRNA)的作用最近在病原体-宿主相互作用中得到了强调。但是,miRNA在人类,尤其是危重病人中流感病毒感染的发病机理中的确切作用仍不清楚。方法我们通过miRNA芯片和反向定量定量分析方法,从重症猪源性流感大流行H1N1流感重症患者的外周血单核细胞(PBMC)中进行了全面的miRNA分析,从而鉴定了参与流感病毒感染宿主应答的细胞miRNA。转录聚合酶链反应(qRT-PCR)分析。进行接收者操作员特征(ROC)曲线分析,并计算ROC曲线下面积(AUC)以评估严重H1N1流感病毒感染的诊断准确性。此外,通过使用Cytoscape软件将预测和验证的miRNA-基因相互作用数据与流感病毒和宿主-蛋白-蛋白质相互作用信息整合在一起,构建了miRNA介导的宿主-流感病毒蛋白质相互作用的整合网络。此外,选择了网络中的多个集线器基因,并通过qRT-PCR进行了验证。结果通过miRNA微阵列发现了41个显着差异表达的miRNA。选择了9个,并通过qRT-PCR进行了验证。 QRT-PCR分析和ROC曲线分析显示,miR-31,miR-29a和miR-148a均对感染H1N1流感病毒的重症患者具有显着的潜在诊断价值,其AUC分别为0.9510、0.8951和0.8811。随后,我们构建了一个由miRNA介导的宿主-流感病毒蛋白相互作用的整合网络,其中我们发现miRNA参与调节重要的途径,如促分裂原激活的蛋白激酶信号传导途径,表皮生长因子受体信号传导途径和Toll样流感病毒感染过程中的受体信号通路。通过计算机分析,一些差异表达的miRNA靶向这些途径中几个关键基因的mRNA。发现危重病患者的肿瘤蛋白T53和转化生长因子β受体1的mRNA表达水平显着降低,而Janus激酶2,胱天蛋白酶3凋亡相关的半胱氨酸肽酶,白介素10和粘液病毒耐药性1的表达则大大增加在重症患者中。结论我们的数据表明,H1N1重症患者的PBMC中miRNA的失调可以调节与流感病毒感染相关的主要信号通路中的许多关键基因。这些差异表达的miRNAs可能是严重流感病毒感染的潜在治疗靶标或生物标志物。

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