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首页> 外文期刊>International journal of infectious diseases : >Screening and identification of plasma lncRNAs uc.48+ and NR_105053 as potential novel biomarkers for cured pulmonary tuberculosis
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Screening and identification of plasma lncRNAs uc.48+ and NR_105053 as potential novel biomarkers for cured pulmonary tuberculosis

机译:血浆LNCRNA UC.48 +和NR_105053的筛选和鉴定为潜在的新型生物标志物,用于治愈肺结核

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Background Tuberculosis (TB) treatment takes a long time, and a gold standard test to define TB cure is lacking. This may lead to early discharge of TB patients, resulting in an increased risk of disease transmission and drug resistance. Plasma lncRNAs might act as potential biomarkers to evaluate TB cure in an efficient and precise manner. Methods A lncRNA microarray assay was used to screen differentially expressed plasma lncRNAs in untreated TB and cured TB subjects. The expression levels of lncRNAs were verified by qPCR. Target genes of lncRNAs were predicted using a coding–non-coding gene co-expression network and mRNA–lncRNA–miRNA interaction network analysis. Results The expression levels of lncRNAs uc.48+ ( p 0.001) and NR_105053 ( p = 0.03) were found to differ significantly between the untreated TB group and the cured TB group. The predicted target genes of uc.48+ were EP300, BAI1 and NR_105053 were TLR9, MYD88, BAI1, respectively. A predictive model for cured TB was established by the combination of uc.48+ and NR_105053 expression, with a sensitivity of 90.00% and specificity of 86.36%, and an area under the curve (AUC) value of 0.945. Conclusions lncRNAs uc.48+ and NR_105053 may serve as potential biomarkers to distinguish between untreated TB patients and cured TB subjects. This study provides an experimental basis to evaluate the effect of TB treatment and may also provide new clues to the pathological mechanisms of TB.
机译:背景技术结核病(TB)处理需要很长时间,并且缺乏用于定义TB固化的金标准测试。这可能导致TB患者的早期排放,导致疾病传播风险增加和耐药性。等离子体LNCRNA可以充当潜在的生物标志物,以有效和精确的方式评估TB治疗。方法使用LNCRNA微阵列测定法在未处理的TB中筛分差异表达的血浆LNCRNA并固化TB受试者。通过QPCR验证了LNCRNA的表达水平。使用编码 - 非编码基因共表达网络和MRNA-LNCRNA-miRNA相互作用网络分析预测LNCRNA的靶基因。结果发现LNCRNA UC.48 +(P <0.001)和NR_105053(P = 0.03)的表达水平在未处理的TB组和固化的TB组之间显着不同。 UC.48 +的预测靶基因是EP300,Bai1和NR_105053分别为TLR9,MyD88,Bai1。通过UC.48 +和NR_105053表达的组合建立了一种固化Tb的预测模型,敏感性为90.00%,特异性为86.36%,曲线(AUC)值为0.945。结论LNCRNA UC.48 +和NR_105053可用作潜在的生物标志物,以区分未处理的结核病患者并治愈的TB受试者。本研究提供了评估结核病治疗的影响的实验基础,也可以为TB的病理机制提供新的线索。

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