Brazilian Journal of Microbiology | |
Rapid identification of Mycobacterium tuberculosis complex by a novel hybridization signal amplification method based on self-assembly of DNA-streptavidin nanoparticles | |
Haihe Wang2  Chunyan Zhao1  Fan Li1  | |
[1] ,Harbin Medical University Department of Pathogenobiology Daqing,China | |
关键词: Mycobacterium tuberculosis complex (MTBC); Detection; Diagnosis; Rapid methods; Identification; | |
DOI : 10.1590/S1517-83822011000300016 | |
来源: SciELO | |
【 摘 要 】
Rapid detection of Mycobacterium tuberculosis complex (MTBC) is a critical step in controlling tuberculosis (TB). In this study, we used IS6110 as the specific identification target to develop a novel hybridization signal amplification method (HSAM) for the rapid and direct detection of MTBC from clinical sputum specimens. This system consists of magnetic bead-linked capture probes for target isolation, dextranbased nanoparticles for amplifying the reporter molecule (biotinylated-FITC), and detection probes (2B-DNA) for binding the nanoparticles. Both the capture and detection probes were specific to the IS6110 target sequence. Our results determined that as few as 10 copies of the IS6110 sequence or 10 M. tuberculosis bacteria could be detected, indicating that the HSAM assay is as sensitive as conventional PCR, and the assay was specific enough to distinguish MTBC from nontuberculosis mycobacteria (NTM). A total of 176 clinical sputum specimens were collected for HSAM evaluation, and the results were compared to those from traditional culture and biochemical identification techniques. This assay had a sensitivity of 88.3%, a specificity of 91.8%, a positive predictive value of 93.8% and a negative predictive value of 84.8% for the detection of MTBC. This technique is highly sensitive and specific, is easy to perform, and does not require any sophisticated detection equipment; thus, this approach has great potential in clinical TB detection and diagnostic applications.
【 授权许可】
CC BY-NC
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
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