Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Apostolou, Theofylaktos, Kyritsi, Maria, Vontas, Alexandros, Loizou, Konstantinos, Hadjilouka, Agni, Speletas, Mathaios, Mouchtouri, Varvara, Hadjichristodoulou, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051012/
https://www.ncbi.nlm.nih.gov/pubmed/33872651
http://dx.doi.org/10.1016/j.jviromet.2021.114166
_version_ 1783679679745490944
author Apostolou, Theofylaktos
Kyritsi, Maria
Vontas, Alexandros
Loizou, Konstantinos
Hadjilouka, Agni
Speletas, Mathaios
Mouchtouri, Varvara
Hadjichristodoulou, Christos
author_facet Apostolou, Theofylaktos
Kyritsi, Maria
Vontas, Alexandros
Loizou, Konstantinos
Hadjilouka, Agni
Speletas, Mathaios
Mouchtouri, Varvara
Hadjichristodoulou, Christos
author_sort Apostolou, Theofylaktos
collection PubMed
description 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/μL. 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.
format Online
Article
Text
id pubmed-8051012
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-80510122021-04-16 Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples Apostolou, Theofylaktos Kyritsi, Maria Vontas, Alexandros Loizou, Konstantinos Hadjilouka, Agni Speletas, Mathaios Mouchtouri, Varvara Hadjichristodoulou, Christos J Virol Methods Article 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/μL. 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. Elsevier B.V. 2021-07 2021-04-16 /pmc/articles/PMC8051012/ /pubmed/33872651 http://dx.doi.org/10.1016/j.jviromet.2021.114166 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Apostolou, Theofylaktos
Kyritsi, Maria
Vontas, Alexandros
Loizou, Konstantinos
Hadjilouka, Agni
Speletas, Mathaios
Mouchtouri, Varvara
Hadjichristodoulou, Christos
Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples
title Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples
title_full Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples
title_fullStr Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples
title_full_unstemmed Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples
title_short Development and performance characteristics evaluation of a new Bioelectric Recognition Assay (BERA) method for rapid Sars-CoV-2 detection in clinical samples
title_sort development and performance characteristics evaluation of a new bioelectric recognition assay (bera) method for rapid sars-cov-2 detection in clinical samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051012/
https://www.ncbi.nlm.nih.gov/pubmed/33872651
http://dx.doi.org/10.1016/j.jviromet.2021.114166
work_keys_str_mv AT apostoloutheofylaktos developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT kyritsimaria developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT vontasalexandros developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT loizoukonstantinos developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT hadjiloukaagni developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT speletasmathaios developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT mouchtourivarvara developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples
AT hadjichristodoulouchristos developmentandperformancecharacteristicsevaluationofanewbioelectricrecognitionassayberamethodforrapidsarscov2detectioninclinicalsamples