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DOI 10.1016/j.diagmicrobio.2022.115801

Медицинская библиотека · Diagnostic microbiology and infectious disease · 2022

Simultaneous detection of 9 respiratory pathogens using a newly developed multiplex real-time PCR panel based on an automatic molecular detection and analysis system.

Zhao Meng-Chuan, Jiang Yue, Li Gui-Xia, Tie Yan-Qing, Zheng Ye-Huan, Li Jin-Fu, Zhang Wen-Chao, Duan Su-Xia, Zhai Yu, Li Yuan-Long, Zhang Di-Jun, Zeng Xian-Ping, Wu Yong, Guo Ying-Hui, Feng Zhi-Shan

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Аннотация

Timely identification of respiratory pathogens guides specific treatment, reduces hospital costs and minimizes the excessive use of antibiotics. A new multiplex real-time PCR panel was developed based on an automatic molecular detection and analysis system (AutoMolec system), consisting of three separate internally controlled assays. Mycoplasma pneumoniae, Chlamydia pneumoniae, adenovirus, human metapneumovirus, influenza B virus, respiratory syncytial virus and human parainfluenza virus 1-3 may be directly detected in original samples. The system's clinical performance was evaluated by comparison with an approved commercial kit, using 517 clinical samples. The limit of detection of the AutoMolec mRT-PCR panel ranged from 4 × 10-4 ∼3.3 TCID50/mL and no cross-reaction with common respiratory pathogens was observed. The AutoMolec mRT-PCR panel had 99.09% sensitivity and 100.0% specificity and overall detection consistency was 99.61%, making it comparable to that of the commercial kit. Therefore, the AutoMolec mRT-PCR panel has great potential for routine screening of respiratory infection in China.

Для цитирования: Zhao Meng-Chuan, Jiang Yue, Li Gui-Xia, Tie Yan-Qing, Zheng Ye-Huan, Li Jin-Fu, Zhang Wen-Chao, Duan Su-Xia, Zhai Yu, Li Yuan-Long, Zhang Di-Jun, Zeng Xian-Ping, Wu Yong, Guo Ying-Hui, Feng Zhi-Shan. Simultaneous detection of 9 respiratory pathogens using a newly developed multiplex real-time PCR panel based on an automatic molecular detection and analysis system.. Diagnostic microbiology and infectious disease. 2022. DOI: 10.1016/j.diagmicrobio.2022.115801.

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