一组可区分结核分枝杆菌感染与健康个体的新型血浆微小RNA的特征分析。
Characterization of a novel panel of plasma microRNAs that discriminates between Mycobacterium tuberculosis infection and healthy individuals.
作者信息
Cui Jia-Yi, Liang Hong-Wei, Pan Xin-Ling, Li Di, Jiao Na, Liu Yan-Hong, Fu Jin, He Xiao-Yu, Sun Gao-Xiang, Zhang Chun-Lei, Zhao Chi-Hao, Li Dong-Hai, Dai En-Yu, Zen Ke, Zhang Feng-Min, Zhang Chen-Yu, Chen Xi, Ling Hong
机构信息
Department of Microbiology, Harbin Medical University, Harbin, China.
Heilongjiang Provincial Key Laboratory of Infection and Immunity; Key Laboratory of Pathogen Biology, Harbin, China.
出版信息
PLoS One. 2017 Sep 14;12(9):e0184113. doi: 10.1371/journal.pone.0184113. eCollection 2017.
Cavities are important in clinical diagnosis of pulmonary tuberculosis (TB) infected by Mycobacterium tuberculosis. Although microRNAs (miRNAs) play a vital role in the regulation of inflammation, the relation between plasma miRNA and pulmonary tuberculosis with cavity remains unknown. In this study, plasma samples were derived from 89 cavitary pulmonary tuberculosis (CP-TB) patients, 89 non-cavitary pulmonary tuberculosis (NCP-TB) patients and 95 healthy controls. Groups were matched for age and gender. In the screening phase, Illumina high-throughput sequencing technology was employed to analyze miRNA profiles in plasma samples pooled from CP-TB patients, NCP-TB patients and healthy controls. During the training and verification phases, quantitative RT-PCR (qRT-PCR) was conducted to verify the differential expression of selected miRNAs among groups. Illumina high-throughput sequencing identified 29 differentially expressed plasma miRNAs in TB patients when compared to healthy controls. Furthermore, qRT-PCR analysis validated miR-769-5p, miR-320a and miR-22-3p as miRNAs that were differently present between TB patients and healthy controls. ROC curve analysis revealed that the potential of these 3 miRNAs to distinguish TB patients from healthy controls was high, with the area under the ROC curve (AUC) ranged from 0.692 to 0.970. Moreover, miR-320a levels were decreased in drug-resistant TB patients than pan-susceptible TB patients (AUC = 0.882). In conclusion, we identified miR-769-5p, miR-320a and miR-22-3p as potential blood-based biomarkers for TB. In addition, miR-320a may represent a biomarker for drug-resistant TB.
空洞对于感染结核分枝杆菌的肺结核(TB)的临床诊断具有重要意义。尽管微小RNA(miRNA)在炎症调节中发挥着至关重要的作用,但血浆miRNA与有空洞的肺结核之间的关系尚不清楚。在本研究中,血浆样本来自89例有空洞的肺结核(CP-TB)患者、89例无空洞的肺结核(NCP-TB)患者和95例健康对照。各组在年龄和性别上进行了匹配。在筛选阶段,采用Illumina高通量测序技术分析从CP-TB患者、NCP-TB患者和健康对照中收集的血浆样本中的miRNA谱。在训练和验证阶段,进行定量逆转录聚合酶链反应(qRT-PCR)以验证所选miRNA在各组之间的差异表达。Illumina高通量测序确定,与健康对照相比,TB患者中有29种血浆miRNA差异表达。此外,qRT-PCR分析验证了miR-769-5p、miR-320a和miR-22-3p是TB患者和健康对照之间存在差异的miRNA。ROC曲线分析显示,这3种miRNA区分TB患者和健康对照的潜力很高,ROC曲线下面积(AUC)范围为0.692至0.970。此外,耐药TB患者的miR-320a水平低于全敏感TB患者(AUC = 0.882)。总之,我们确定miR-769-5p、miR-320a和miR-22-3p为TB潜在的血液生物标志物。此外,miR-320a可能代表耐药TB的生物标志物。
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