Taqman低密度微流体芯片技术在呼吸道传染病病原体快速检测中的应用分析
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摘要
目的使用Taqman低密度微流体芯片技术(TAC)建立顺义区多种呼吸道传染病病原体构成谱,为制定有效防控措施提供依据。方法利用Taqman低密度微流体芯片技术,对2017年收集的372份呼吸道感染病例标本进行42种呼吸道传染病病原体的检测。结果 372份呼吸道感染患者病例标本共检出16种病原体,检出阳性病原体125例,阳性率为33.6%(125/372)。在所检出的病原体构成谱中,肺炎支原体检出阳性率最高;其次为流感病毒及肺炎链球菌,肺炎克雷伯菌、金黄色葡萄球菌等其他病原体也有检出,并随着年龄和季节变化感染病原体有一定的流行规律。结论肺炎支原体、流感病毒、肺炎链球菌是顺义区呼吸道感染病的主要病原体,今后应继续加强病原学的监测,注重病原体在不同人群、季节感染分布以及防治工作。
Objective The pathogenic spectrum of various respiratory infectious diseases in Shunyi District was established employing the TaqMan Array Card technology(TAC), so as to provide basis for making effective prevention and control measures. Methods A total of 372 samples from the patients with respiratory tract infection collected in 2017 were conducted for the detection of 42 pathogens. Results A total of 16 pathogens were detected in 372 clinical respiratory samples, and 125 samples were positive. The overall positive rate was 33.6%(125/372). It was found that the positive rate of Mycoplasma pneumoniae(MPN) was the highest in the spectrum of pathogens detected, followed by influenza virus and Streptococcus pneumoniae(SP), Klebsiella pneumoniae(KP), Staphylococcus aureus(SA) and other pathogens, and each pathogen had certain epidemic law with the change of season and patients' ages. Conclusion Mycoplasma pneumoniae, influenza virus and Streptococcus pneumoniae were main pathogens leading to respiratory infection in Shunyi, pathogen surveillance should be strengthened in the future, and we should pay more attention to the change of pathogens in different populations and seasons.
Objective The pathogenic spectrum of various respiratory infectious diseases in Shunyi District was established employing the TaqMan Array Card technology(TAC), so as to provide basis for making effective prevention and control measures. Methods A total of 372 samples from the patients with respiratory tract infection collected in 2017 were conducted for the detection of 42 pathogens. Results A total of 16 pathogens were detected in 372 clinical respiratory samples, and 125 samples were positive. The overall positive rate was 33.6%(125/372). It was found that the positive rate of Mycoplasma pneumoniae(MPN) was the highest in the spectrum of pathogens detected, followed by influenza virus and Streptococcus pneumoniae(SP), Klebsiella pneumoniae(KP), Staphylococcus aureus(SA) and other pathogens, and each pathogen had certain epidemic law with the change of season and patients' ages. Conclusion Mycoplasma pneumoniae, influenza virus and Streptococcus pneumoniae were main pathogens leading to respiratory infection in Shunyi, pathogen surveillance should be strengthened in the future, and we should pay more attention to the change of pathogens in different populations and seasons.
引文
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[9] Diaz MH, Waller JL, Napoliello RA, et al. Optimization of multiple pathogen detection using the TaqMan array card: Application for a population-based study of neonatal infection[J]. PLoS ONE, 2013, 8(6): e66183.
[10] Liu J, Gratz J, Amour C, et al. A Laboratory-Developed TaqMan Array Card for Simultaneous Detection of 19 Enteropathogens[J]. Clin Microbiol, 2013, 51(2): 472-480.
[11] 石伟先, 崔淑娟, 黄芳, 等. 北京地区肺炎病例呼吸道病毒及肺炎支原体感染调查[J]. 中国卫生检验杂志, 2012, 22(10): 2453-2455.
[12] 荆红波, 朱红霞, 王鹏, 等. 2011年-2013年北京市顺义区儿童呼吸道感染病毒谱分析[J]. 中国卫生检验杂志, 2015, 25(15): 2510-2515.
[13] 梁均和, 朱锦朋, 黄妙琳, 等. 2012年江门市急性呼吸道感染人群病毒病原学监测结果分析[J]. 中外医疗, 2014, 33(21): 136-138.
[14] 荆红波, 张爽, 王鹏, 等. 九种呼吸道病毒在北京市顺义地区人群中的流行特征分析[J]. 国际病毒学杂志, 2015, 22(4): 240-244.
[15] 刘涛, 陈明静, 李树华, 等. 910例成人发热呼吸道症候群住院患者病原谱研究[J]. 现代预防医学, 2017, 44(13): 2485-2488.
[2] 潘明, 李天舒, 刘李, 等. 成都市发热呼吸道症候群患者病毒感染调查[J]. 预防医学情报杂志, 2011, 27(11): 861-864.
[3] 蓝雨, 王大燕, 马学军, 等. 呼吸道病毒实验室诊断的现状和进展[J]. 中华结核和呼吸杂志, 2014, 31(1): 6-8.
[4] 宋利琼, 李金明. 呼吸道病毒检测方法的研究进展[J]. 国际病毒学杂志, 2011, 19(1): 30-33.
[5] 李爱华, 张铁钢, 石伟先, 等. 三种呼吸道病毒实验室检测方法比较[J]. 中华微生物学和免疫学杂志, 2013, 33(7): 541-544.
[6] Steensels D, Reynders M, Descheemaeker P, et al. Clinical evaluation of a multi-parameter customized respiratory TaqMan array card compared to conventional methods in immunocompromised patients[J]. Clinical Virology, 2015, 72: 36-41.
[7] Rachwal PA, Rose HL, Cox V, et al. The potential of TaqMan Array Cards for detection of multiple biological agents by real-time PCR[J]. PLoS ONE, 2012, 7(4): e35971.
[8] Kodani M, Yang G, Conklin LM, et al. Application of TaqMan low-density arrays for simultaneous detection of multiple respiratory pathogens[J]. Clin Microbiol, 2011, 49(6): 2175-2182.
[9] Diaz MH, Waller JL, Napoliello RA, et al. Optimization of multiple pathogen detection using the TaqMan array card: Application for a population-based study of neonatal infection[J]. PLoS ONE, 2013, 8(6): e66183.
[10] Liu J, Gratz J, Amour C, et al. A Laboratory-Developed TaqMan Array Card for Simultaneous Detection of 19 Enteropathogens[J]. Clin Microbiol, 2013, 51(2): 472-480.
[11] 石伟先, 崔淑娟, 黄芳, 等. 北京地区肺炎病例呼吸道病毒及肺炎支原体感染调查[J]. 中国卫生检验杂志, 2012, 22(10): 2453-2455.
[12] 荆红波, 朱红霞, 王鹏, 等. 2011年-2013年北京市顺义区儿童呼吸道感染病毒谱分析[J]. 中国卫生检验杂志, 2015, 25(15): 2510-2515.
[13] 梁均和, 朱锦朋, 黄妙琳, 等. 2012年江门市急性呼吸道感染人群病毒病原学监测结果分析[J]. 中外医疗, 2014, 33(21): 136-138.
[14] 荆红波, 张爽, 王鹏, 等. 九种呼吸道病毒在北京市顺义地区人群中的流行特征分析[J]. 国际病毒学杂志, 2015, 22(4): 240-244.
[15] 刘涛, 陈明静, 李树华, 等. 910例成人发热呼吸道症候群住院患者病原谱研究[J]. 现代预防医学, 2017, 44(13): 2485-2488.