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10.1080/22221751.2020.1782774

http://scihub22266oqcxt.onion/10.1080/22221751.2020.1782774
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suck abstract from ncbi


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pmid32543298      Emerg+Microbes+Infect 2020 ; 9 (1): 1489-1496
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  • Development of an automatic integrated gene detection system for novel severe acute respiratory syndrome-related coronavirus (SARS-CoV2) #MMPMID32543298
  • Li Y; Li J; Zhang Y; Dai L; Li L; Liu J; Zhang S; Wu X; Hu Y; Qin C; Jiang T; Kang X
  • Emerg Microbes Infect 2020[Dec]; 9 (1): 1489-1496 PMID32543298show ga
  • In December 2019, Wuhan, China suffered a serious outbreak of a novel coronavirus infectious disease (COVID) caused by novel severe acute respiratory syndrome-related coronavirus (SARS-CoV 2). To quickly identify the pathogen, we designed and screened primer sets, and established a sensitive and specific qRT-PCR assay for SARS-CoV 2; the lower limit of detection (LOD) was 14.8 (95% CI: 9.8-21) copies per reaction. We combined this qRT-PCR assay with an automatic integration system for nucleic acid extraction and amplification, thereby establishing an automatic integrated gene detection system (AIGS) for SARS-CoV 2. Cross reactive analysis performed in 20 other respiratory viruses and 37 nasopharyngeal swabs confirmed a 100% specificity of the assay. Using two fold diluted SARS-CoV 2 culture, the LOD of AIGS was confirmed to be 365 copies/ml (95% CI: 351-375), which was Comparable to that of conventional q RT-PCR (740 copies/ml, 95% CI: 689-750). Clinical performances of AIGS assay were assessed in 266 suspected COVID-19 clinical respiratory tract samples tested in parallel with a commercial kit. The clinical sensitivity of the AIGS test was 97.62% (95% CI: 0.9320-0.9951) based on the commercial kit test result, and concordance analysis showed a high agreement in SARS-CoV-2 detection between the two assays, Pearson R was 0.9623 (95% CI: 0.9523-0.9703). The results indicated that this AIGS could be used for rapid detection of SARS-CoV 2. With the advantage of simple operation and less time consuming, AIGS could be suitable for SARS-CoV2 detection in primary medical institutions, thus would do a great help to improve detection efficiency and control the spread of COVID-19.
  • |Automation, Laboratory[MESH]
  • |Betacoronavirus/*isolation & purification[MESH]
  • |COVID-19[MESH]
  • |China[MESH]
  • |Coronavirus Infections/*diagnosis[MESH]
  • |DNA Primers[MESH]
  • |Humans[MESH]
  • |Limit of Detection[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*diagnosis[MESH]
  • |RNA, Viral/analysis[MESH]
  • |Real-Time Polymerase Chain Reaction/*methods[MESH]
  • |SARS-CoV-2[MESH]
  • |Sensitivity and Specificity[MESH]


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