Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples

被引:6
作者
Apostolou, Theofylaktos [1 ]
Kyritsi, Maria [2 ]
Vontas, Alexandros [2 ]
Loizou, Konstantinos [1 ]
Hadjilouka, Agni [1 ]
Speletas, Mathaios [3 ]
Mouchtouri, Varvara [2 ]
Hadjichristodoulou, Christos [2 ]
机构
[1] EMBIO Diagnost Ltd, Athalassas Ave 8, CY-2018 Nicosia, Cyprus
[2] Univ Thessaly, Sch Hlth Sci, Lab Hyg & Epidemiol, Fac Med, Papakyriazi 22, Larisa, Greece
[3] Univ Thessaly, Sch Hlth Sci, Dept Immunol & Histocompatibil, Fac Med, Panepistimiou 3, GR-41500 Biopolis, Larissa, Greece
关键词
Sars-CoV-2; Cell-based biosensor technology; Bioelectric Recognition Assay (BERA); Point-of-care (POC) test; BIOSENSORS;
D O I
10.1016/j.jviromet.2021.114166
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Introduction: As the second wave of COVID-19 pandemic is in progress the development of fast and cost-effective approaches for diagnosis is essential. The aim of the present study was to develop and evaluate the performance characteristics of a new Bioelectric Recognition Assay (BERA) regarding Sars-CoV-2 detection in clinical samples and its potential to be used as a point of care test. Materials and methods: All tests were performed using a custom portable hardware device developed by EMBIO DIAGNOSTICS (EMBIO DIAGNOSTICS Ltd, Cyprus). 110 positive and 136 negative samples tested by RT-PCR were used in order to define the lower limit of detection (L.O.D.) of the system, as well as the sensitivity and the specificity of the method. Results: The system was able to detect a viral concentration of 4 genome copies/mu L. The method displayed total sensitivity of 92.7 % (95 %CI: 86.2-96.8) and 97.8 % specificity (95 %CI: 93.7-99.5). When samples were grouped according to the recorded Ct values the BERA biosensor displayed 100.00 % sensitivity (95 %CI: 84.6-100.0) for Ct values <20-30. For the aforementioned Ct values the Positive Predictive Value (PPV) of the method was estimated at 31.4 % for COVID-19 prevalence of 1% and at 70.5 % for 5% prevalence. At the same time the Negative Predictive Value (NPV) of the BERA biosensor was at 100.0 % for both prevalence rates. Conclusions: EMBIO DIAGNOSTICS BERA for the detection of SARS-CoV-2 infection has the potential to allow rapid and cost-effective detection and subsequent isolation of confirmed cases, and therefore reduce household and community transmissions.
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相关论文
共 23 条
[1]   Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor [J].
Apostolou, Theofylaktos ;
Loizou, Konstantinos ;
Hadjilouka, Agni ;
Inglezakis, Antonios ;
Kintzios, Spyridon .
BIOSENSORS-BASEL, 2020, 10 (02)
[2]   CRISPR-Cas12-based detection of SARS-CoV-2 [J].
Broughton, James P. ;
Deng, Xianding ;
Yu, Guixia ;
Fasching, Clare L. ;
Servellita, Venice ;
Singh, Jasmeet ;
Miao, Xin ;
Streithorst, Jessica A. ;
Granados, Andrea ;
Sotomayor-Gonzalez, Alicia ;
Zorn, Kelsey ;
Gopez, Allan ;
Hsu, Elaine ;
Gu, Wei ;
Miller, Steve ;
Pan, Chao-Yang ;
Guevara, Hugo ;
Wadford, Debra A. ;
Chen, Janice S. ;
Chiu, Charles Y. .
NATURE BIOTECHNOLOGY, 2020, 38 (07) :870-+
[3]   Assay Techniques and Test Development for COVID-19 Diagnosis [J].
Carter, Linda J. ;
Garner, Linda, V ;
Smoot, Jeffrey W. ;
Li, Yingzhu ;
Zhou, Qiongqiong ;
Saveson, Catherine J. ;
Sasso, Janet M. ;
Gregg, Anne C. ;
Soares, Divya J. ;
Beskid, Tiffany R. ;
Jervey, Susan R. ;
Liu, Cynthia .
ACS CENTRAL SCIENCE, 2020, 6 (05) :591-605
[4]   Rapid and Sensitive Detection of anti-SARS-CoV-2 IgG, Using Lanthanide-Doped Nanoparticles-Based Lateral Flow Immunoassay [J].
Chen, Zhenhua ;
Zhang, Zhigao ;
Zhai, Xiangming ;
Li, Yongyin ;
Lin, Li ;
Zhao, Hui ;
Bian, Lun ;
Li, Peng ;
Yu, Lei ;
Wu, Yingsong ;
Lin, Guanfeng .
ANALYTICAL CHEMISTRY, 2020, 92 (10) :7226-7231
[5]   Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection (Review) [J].
Dinnes, Jacqueline ;
Deeks, Jonathan J. ;
Adriano, Ada ;
Berhane, Sarah ;
Davenport, Clare ;
Dittrich, Sabine ;
Emperador, Devy ;
Takwoingi, Yemisi ;
Cunningham, Jane ;
Beese, Sophie ;
Dretzke, Janine ;
di Ruffano, Lavinia Ferrante ;
Harris, Isobel M. ;
Price, Malcolm J. ;
Taylor-Phillips, Sian ;
Hooft, Lotty ;
Leeflang, Mariska M. G. ;
Spijker, Rene ;
Van den Bruel, Ann .
COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2020, (08)
[6]   Real-time PCR in clinical microbiology: Applications for a routine laboratory testing [J].
Espy, MJ ;
Uhl, JR ;
Sloan, LM ;
Buckwalter, SP ;
Jones, MF ;
Vetter, EA ;
Yao, JDC ;
Wengenack, NL ;
Rosenblatt, JE ;
Cockerill, FR ;
Smith, TF .
CLINICAL MICROBIOLOGY REVIEWS, 2006, 19 (01) :165-+
[7]  
Fourati S, 2020, EVALUATION PERFORMAN
[8]   Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor [J].
Hadjilouka, Agni ;
Loizou, Konstantinos ;
Apostolou, Theofylaktos ;
Dougiakis, Lazaros ;
Inglezakis, Antonios ;
Tsaltas, Dimitrios .
BIOSENSORS-BASEL, 2020, 10 (11)
[9]   Cell-based Biosensors in clinical chemistry [J].
Kintzios, Spiridon E. .
MINI-REVIEWS IN MEDICINAL CHEMISTRY, 2007, 7 (10) :1019-1026
[10]   Point-of-Care Testing for Infectious Diseases: Past, Present, and Future [J].
Kozel, Thomas R. ;
Burnham-Marusich, Amanda R. .
JOURNAL OF CLINICAL MICROBIOLOGY, 2017, 55 (08) :2313-2320