Background

Tuberculosis, one of the deadliest infectious diseases worldwide, is difficult to diagnose. As long noncoding RNAs (lncRNAs) were demonstrated to be promising biomarkers, we aimed to identify lncRNAs in plasma as potential biomarkers for tuberculosis.

Methods

We analyzed a GEO dataset (GSE94907) to identify the differential lncRNAs in serum exosomes between active tuberculosis (ATB) patients and healthy controls. To search for promising candidates that can be used for tuberculosis diagnosis, we excluded low-abundance lncRNAs using a cutoff value of FPKM >5. Four lncRNAs were selected for validation using real-time quantitative PCR in 69 ATB patients and 69 healthy individuals. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of these lncRNAs for ATB.

Results

Integrated analysis of the GEO dataset and NONCODE database identified nine dysregulated lncRNAs in ATB patient serum exosomes. Compared with the heathy controls, NONHSAT101518.2, NONHSAT067134.2, NONHSAT148822.1 and NONHSAT078957.2 were significantly downregulated in ATB patient plasma. ROC curve analysis suggests that these four lncRNAs can discriminate ATB from healthy individuals with high specificity and sensitivity.

Conclusion

We identified four differentially expressed lncRNAs in ATB patient plasma that can be used as potential diagnostic biomarkers of ATB.

中文翻译：

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将差异表达的 lncRNA 鉴定为活动性肺结核的潜在血浆生物标志物

背景

结核病是世界上最致命的传染病之一，很难诊断。只要非编码 RNA (lncRNA) 被证明是有前途的生物标志物，我们的目标就是将血浆中的 lncRNA 鉴定为结核病的潜在生物标志物。

方法

我们分析了一个 GEO 数据集 (GSE94907)，以确定活动性肺结核 (ATB) 患者和健康对照之间血清外泌体中的差异 lncRNA。为了寻找可用于结核病诊断的有希望的候选者，我们使用 FPKM > 5 的截止值排除了低丰度的 lncRNA。使用实时定量 PCR 在 69 名 ATB 患者和 69 名健康个体中选择了四种 lncRNA 进行验证。构建受试者工作特征（ROC）曲线以评估这些 lncRNA 对 ATB 的诊断价值。

结果

GEO 数据集和 NONCODE 数据库的综合分析确定了 ATB 患者血清外泌体中九个失调的 lncRNA。与健康对照组相比，ATB 患者血浆中的 NONHSAT101518.2、NONHSAT067134.2、NONHSAT148822.1 和 NONHSAT078957.2 显着下调。ROC曲线分析表明，这四种lncRNAs能够以高特异性和敏感性将ATB与健康个体区分开来。

结论

我们在 ATB 患者血浆中鉴定了四种差异表达的 lncRNA，可用作 ATB 的潜在诊断生物标志物。