Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Department of Pathology, Johor Bahru General Hospital, Johor, Malaysia.
J Cell Mol Med. 2017 Oct;21(10):2276-2283. doi: 10.1111/jcmm.13148. Epub 2017 Jul 29.
Technological advances in RNA biology greatly improved transcriptome profiling during the last two decades. Besides the discovery of many small RNAs (sRNA) that are involved in the physiological and pathophysiological regulation of various cellular circuits, it becomes evident that the corresponding RNA genes might also serve as potential biomarkers to monitor the progression of disease and treatment. sRNA gene candidate npcTB_6715 was previously identified via experimental RNomic (unpublished data), and we report its application as potential biomarker for the detection of Mycobacterium tuberculosis (MTB) in patient samples. For proof of principle, we developed a multiplex PCR assay and report its validation with 500 clinical cultures, positive for Mycobacteria. The analysis revealed 98.9% sensitivity, 96.1% specificity, positive and negative predictive values of 98.6% and 96.8%, respectively. These results underscore the diagnostic value of the sRNA gene as diagnostic marker for the specific detection of MTB in clinical samples. Its successful application and the general ease of PCR-based detection compared to standard bacterial culture techniques might be the first step towards 'point-of-care' diagnostics of Mycobacteria. To the best of our knowledge, this is the first time for the design of diagnostic applications based on sRNA genes, in Mycobacteria.
在过去的二十年中,RNA 生物学的技术进步极大地改善了转录组谱分析。除了发现许多参与各种细胞回路生理和病理生理调节的小 RNA(sRNA)之外,还明显表明相应的 RNA 基因也可能作为潜在的生物标志物,用于监测疾病的进展和治疗效果。sRNA 基因候选物 npcTB_6715 是通过实验性 RNA 组学(未发表的数据)鉴定的,我们报告了它在检测患者样本中的结核分枝杆菌(MTB)中的应用。作为原理验证,我们开发了一种多重 PCR 检测方法,并报告了其对 500 株阳性分枝杆菌临床培养物的验证结果。分析结果显示,该检测方法的敏感性为 98.9%,特异性为 96.1%,阳性预测值和阴性预测值分别为 98.6%和 96.8%。这些结果强调了 sRNA 基因作为 MTB 临床样本特异性检测的诊断标志物的诊断价值。与标准细菌培养技术相比,它的成功应用和基于 PCR 的检测的普遍性可能是实现分枝杆菌“即时诊断”的第一步。据我们所知,这是首次基于 sRNA 基因设计用于诊断分枝杆菌的应用。