哮喘患儿外周血单个核细胞中LINC00847的表达及其对哮喘加重与缓解的预测

IF 1.4 4区 生物学 Q4 GENETICS & HEREDITY
Jiaying Hu, Zhike Wang, Suzhen Han, Kai Chen
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The expression levels of LINC00847 were quantified in PBMCs collected from 54 children with asthma exacerbation, 54 children with asthma remission, and 54 healthy children by real-time qPCR. The forced expiratory volume in the first second in percent predicted values (FEV1%), ratio of forced expiratory volume in 1 second to forced vital capacity (FEV1/FVC), and peak expiratory flow rate (PEF%) were tested for evaluation of lung function. The concentration of immunoglobulin E (IgE) and eosinophil count was examined. The serum levels of interleukin-4 (IL-4), interferon-γ (IFN-γ), and IL-17A were determined by the ELISA method. Results The expression level of LINC00847 in PBMCs of asthma exacerbation children was remarkably higher than that in PBMCs of asthma remission children and healthy children (p < 0.001); the expression level of LINC00847 in PBMCs of asthma remission children was notably higher than that in PBMCs of healthy children (p < 0.001). Pearson correlation analysis revealed that the expression levels of LINC00847 in PBMCs of asthma children were negatively correlated with FEV1% (r = −0.489), FEV1/FVC (r = −0.436), PEF% (r = −0.626), and IFN-γ level (r = −0.614) of asthma children, but positively correlated with IgE concentration (r = 0.680), eosinophil count (r = 0.780), IL-4 (r = 0.524), and IL-17A (r = 0.622) levels. When LINC00847 expression was used to distinguish asthma exacerbation from asthma remission, a 0.871 AUC (95% CI: 0.805–0.936) was yielded with sensitivity of 79.63% and specificity of 77.78%. 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引用次数: 1

摘要

目的哮喘是一种以慢性气道炎症为特征的异质性疾病。长链非编码RNA在包括炎症在内的各种生物过程中发挥着重要作用。为了进一步了解lncRNA与哮喘之间的关系,我们试图了解LINC00847在哮喘恶化或哮喘缓解儿童外周血单核细胞(PBMC)中的作用。方法在GSE143192和GSE165934数据集上进行微阵列分析,筛选哮喘患者和正常对照者PBMC中差异表达的lncRNA(DElncRNA)。LINC00847选自哮喘患者和正常对照组之间的人PBMC中的DElncRNA,用于进一步研究。通过实时qPCR对收集自54名哮喘恶化儿童、54名哮喘缓解儿童和54名健康儿童的PBMC中LINC00847的表达水平进行定量。测试前一秒用力呼气量(以预测值百分比表示)(FEV1%)、1秒用力呼气量与用力肺活量之比(FEV1/FVC)和呼气峰流速(PEF%),以评估肺功能。检测免疫球蛋白E(IgE)的浓度和嗜酸性粒细胞计数。采用ELISA法测定血清白细胞介素-4(IL-4)、干扰素-γ(IFN-γ)和IL-17A水平。结果LINC00847在哮喘发作期儿童PBMC中的表达水平显著高于哮喘缓解期儿童和健康儿童PBMC(p<0.001);LINC00847在哮喘缓解儿童PBMC中的表达水平显著高于健康儿童PBMC(p<0.001) = −0.489)、FEV1/FVC(r = −0.436),PEF%(r = −0.626)和IFN-γ水平(r = −0.614),但与IgE浓度呈正相关(r = 0.680)、嗜酸性粒细胞计数(r = 0.780)、IL-4(r = 0.524)和IL-17A(r = 0.622)水平。当用LINC00847的表达来区分哮喘恶化和缓解时,AUC为0.871(95%CI:0.805–0.936),敏感性为79.63%,特异性为77.78%,可能作为从哮喘缓解预测哮喘恶化的新的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression of LINC00847 in Peripheral Blood Mononuclear Cells of Children with Asthma and Its Prediction between Asthma Exacerbation and Remission
Objective Asthma is defined as a heterogeneous disease that is usually characterized by chronic airway inflammation. Long noncoding RNAs play important roles in various biological processes including inflammation. To know more about the relationships between lncRNAs and asthma, we sought to the role of LINC00847 in peripheral blood mononuclear cells (PBMCs) of children with asthma exacerbation or asthma remission. Methods Microarray analysis was performed on GSE143192 and GSE165934 datasets to screen differentially expressed lncRNAs (DElncRNAs) in human PBMCs between asthma patients and normal controls. LINC00847 was selected from DElncRNAs in human PBMCs between asthma patients and normal controls for further investigation. The expression levels of LINC00847 were quantified in PBMCs collected from 54 children with asthma exacerbation, 54 children with asthma remission, and 54 healthy children by real-time qPCR. The forced expiratory volume in the first second in percent predicted values (FEV1%), ratio of forced expiratory volume in 1 second to forced vital capacity (FEV1/FVC), and peak expiratory flow rate (PEF%) were tested for evaluation of lung function. The concentration of immunoglobulin E (IgE) and eosinophil count was examined. The serum levels of interleukin-4 (IL-4), interferon-γ (IFN-γ), and IL-17A were determined by the ELISA method. Results The expression level of LINC00847 in PBMCs of asthma exacerbation children was remarkably higher than that in PBMCs of asthma remission children and healthy children (p < 0.001); the expression level of LINC00847 in PBMCs of asthma remission children was notably higher than that in PBMCs of healthy children (p < 0.001). Pearson correlation analysis revealed that the expression levels of LINC00847 in PBMCs of asthma children were negatively correlated with FEV1% (r = −0.489), FEV1/FVC (r = −0.436), PEF% (r = −0.626), and IFN-γ level (r = −0.614) of asthma children, but positively correlated with IgE concentration (r = 0.680), eosinophil count (r = 0.780), IL-4 (r = 0.524), and IL-17A (r = 0.622) levels. When LINC00847 expression was used to distinguish asthma exacerbation from asthma remission, a 0.871 AUC (95% CI: 0.805–0.936) was yielded with sensitivity of 79.63% and specificity of 77.78%. Conclusion The study demonstrates that increased LINC00847 expression may be associated with the development and progression of asthma, possibly serving as a novel biomarker for predicting asthma exacerbation from asthma remission.
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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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