期刊文献+

数字PCR技术检测感染者尿液中SARS-CoV-2的方法研究 被引量:2

Study on the detection of SARS-CoV-2 in the urine of infected persons by droplet digital PCR
下载PDF
导出
摘要 目的建立灵敏和准确可靠的数字PCR反应体系,开发简单高效的临床检测SARS-CoV-2的分析方法,通过提高检出限,为大规模爆发的传染性疾病快速诊断提供解决方案。方法提取12例病人咽拭子和尿液样本中的总RNA,以反转录后的cDNA为模板配制反应体系,经过油滴发生器将反应体系分割成油滴并进行PCR扩增,再结合荧光读取,分析检测样本中阳性核酸片段的数量。制备包含SARSCoV-2病毒核酸片段共2983 bp的阳性质粒,以10倍系列稀释液为模板进行RT-qPCR反应,根据标准质粒扩增结果制备标准曲线,通过标准曲线计算未知样本目的片段数量,比较ddPCR与RT-qPCR检测结果的准确性。以尿液为实验材料,检测阳性感染者尿液中病毒核酸拷贝数。结果12份阳性尿液标本检出率为75%,最低检出限为5.4 copies/μL,与常规RT-qPCR相比灵敏度显著提高。结论ddPCR方法准确、快速,且灵敏度高,可以满足尿液标本中低拷贝核酸的快速检出。 Objective The objective of the present study is to establish a sensitive,accurate and reliable polymerase chain reac⁃tion(PCR)platform,to develop a simple and effective analytical method to measure the SARS-CoV-2 clinically,and to provide solution of rapid diagnosis in case of outbreaks of infectious diseases through increasing the sensibility of detection limit.Methods The total RNA was extracted from throat swabs and urine of 12 infected people,respectively.The cDNA was used as templates and the PCR pro⁃gram was carried out after the generation of the droplets.The concentration of positive fragments were calculated by the droplet analyzer.Integrated with a 2983 bp fragment of SARS-CoV-2,the pUC57 plasmid was diluted by multiples of 10 and used as templates for RT qPCR.The standard curve was made according to the results of the amplification of the standard plasmid.The original concentration in specimen was calculated according to the standard curve.The veracity of the measurements of both ddPCR and RT-qPCR were com⁃pared,respectively.The quantity of the original copies in urine was measured through ddPCR method.Results The detection rate of 12 positive urine samples was 75%,and the detection limit was 5.4 copies/μL,the detection sensitivity of that was obviously higher in com⁃parison with RT-qPCR method.Conclusions ddPCR is accurate,rapid and sensitive,which can meet the requirements of rapid detec⁃tion of low copy nucleic acid in urine samples.
作者 王志彬 罗庆 李宝林 唐敏 张章 刘靳波 WANG Zhibin;LUO Qing;Li Baolin;TANG Min;ZHANG Zhang;LIU Jinbo(Department of Laboratory Medicine,the Affiliated Hospital of Southwest Medical University,Luzhou 646000,China)
出处 《西南医科大学学报》 2022年第4期301-307,共7页 Journal of Southwest Medical University
基金 四川省科技厅苗子工程培育项目(2022096) 泸州市人民政府-西南医科大学科技战略合作项目(2020LZXNYDJ46) 西南医科大学附属医院博士启动经费(19076) 西南医科大学附属医院博士后启动经费(20003)。
关键词 SARS-CoV-2 微滴式数字PCR 咽拭子 尿液 实时荧光定量PCR SARS-CoV-2 ddPCR Throat swab Urine RT-qPCR
  • 相关文献

参考文献7

二级参考文献55

  • 1刘楠,毛秋芬,余虹,庄毅.基于IMB模型为导向的同伴支持教育在冠心病PCI术后患者中的应用研究[J].中国健康教育,2020(10):946-949. 被引量:22
  • 2CLSI. Protocols for Determination of Limits of Detection and Limits of Quantitation; Approved Guideline. CLSI document EP17-A. Wayne, PA: Clinical and Laboratory Standards Institute,2004.
  • 3CLSI. Evaluation of Detection Capability for Clinical Laboratory Meas- urement Procedures;Approved Guideline-Second Edition. CLSI docu- ment EP17-A2. Wayne, PA : Clinical and Laboratory Standards Institu- te,2012.
  • 4Ekins RP. The "precision profile" : its use in RIA assessment and de- sign. Ligand Quarterly, 1981,4(2) :33-44.
  • 5CLSI. Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline-Second Edition . CLSI document EP05-A2. Wayne, PA: Clinical and Laboratory Standards Institute, 2004.
  • 6Bliss CI. The method of probits. Science, 1934,79 (2037) :38-39.
  • 7Burd EM. Validation of labor atory-developed molecular assays for in- fectious diseases. Clin Microbiol Rev ,2010,23 (3) :550-576.
  • 8Ricos C, Iglesias N, Garcia-Lario JV, et al. Within-subject biological variation in disease: collated data and clinical consequences. Ann Clin Biochem. 2007,44 ( 4 ) : 343-352.http ://www. westgard, com/biologi- cal-variation-in-patients-with-disease, htm. Accessed May 14,2012.
  • 9Westgard JO, Carey RN, Wold S. Criteria for judging precision and ac- curacy in method development and evaluation. Clin Chem, 1974,20 (7) :825-833.
  • 10Petersen PH, St6ckl D, Westgard JO, et al. Models for combining ran- dom and systematic errors: assumptions and consequences for different models. Clin Chem Lab Med, 2001,39 ( 7 ) : 589 -595.

共引文献259

同被引文献14

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部