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首页> 外文期刊>Molecular & Cellular Toxicology >Genomic-based identification of novel potential biomarkers and molecular signaling networks in response to diesel exhaust particles in human middle ear epithelial cells
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Genomic-based identification of novel potential biomarkers and molecular signaling networks in response to diesel exhaust particles in human middle ear epithelial cells

机译:基于基因组的新型潜在生物标志物和分子信号网络的识别,可响应人中耳上皮细胞中的柴油机废气颗粒

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Otitis media (OM) is the most common inflammatory disease of the middle ear cavity. Several factors including viral and bacterial infection, biofilm formation, congenital anomalies, and environmental factors have been recognized as the main causes of OM. Recent epidemiological studies showed that children living in areas with high concentrations of air pollutant including particulate matter and SO2 have significantly higher rates of OM compared with those in the control area. Another study reported that air pollutant exposure results in significant increases in pediatric OM. A large cohort study in Germany suggested that the prevalence of OM is related to air quality. Diesel exhaust particles (DEPs) are among the major toxic air pollutants of motor vehicle emissions. Hence, identifying the biomarkers of a signaling network for air pollutant (particularly DEPs)-mediated inflammatory responses would be meaningful. In this study, we identified novel biomarkers and potential molecular signaling networks induced by DEPs in human middle ear epithelial cells (HMEECs). Genomic expression analysis via microarray was used to discover novel biomarkers. A total of 254 genes were differentially expressed in DEPs-exposed HMEECs; 86 genes and 168 genes were up-and down-regulated, respectively. To verify reliable biomarkers and define meaningful signaling networks in the entire genome profiling, the in silico approach was applied. Based on genomic profiling analysis, we found several novel key molecular biomarkers, including SRC, MUC5AC, MUC2, MMP14, EIF1AK3, KITLG, NOD1, and TP53. Our findings suggested novel biomarkers for DEPs-responsive genes in HMEECs. Furthermore, we provided scientific evidence for the establishment of novel molecular signaling pathway associated with DEPs exposure in HMEECs.
机译:中耳炎(OM)是中耳腔最常见的炎性疾病。包括病毒和细菌感染,生物膜形成,先天性异常和环境因素在内的几种因素已被认为是OM的主要原因。最近的流行病学研究表明,生活在空气污染物(包括颗粒物和SO 2 )浓度较高的地区的儿童与对照组相比,儿童的OM发生率明显更高。另一项研究报道,空气污染物的暴露会导致儿科OM显着增加。在德国进行的一项大型队列研究表明,OM的患病率与空气质量有关。柴油机废气颗粒(DEP)是机动车排放的主要有毒空气污染物之一。因此,鉴定空气污染物(尤其是DEPs)介导的炎症反应的信号网络的生物标记将是有意义的。在这项研究中,我们确定了人类中耳上皮细胞(HMEECs)中DEPs诱导的新型生物标志物和潜在的分子信号网络。通过微阵列的基因组表达分析被用于发现新的生物标记。在暴露于DEPs的HMEEC中共有254个基因差异表达。分别上调和下调了86个基因和168个基因。为了验证可靠的生物标记并在整个基因组图谱中定义有意义的信号网络,采用了 in silico 方法。根据基因组分析,我们发现了几种新颖的关键分子生物标记,包括 SRC,MUC5AC,MUC2,MMP14,EIF1AK3,KITLG,NOD1 TP53 。我们的发现提出了HMEECs中DEPs响应基因的新型生物标记。此外,我们为建立与HMEECs中DEP暴露相关的新型分子信号通路提供了科学依据。

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