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Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG

BACKGROUND & OBJECTIVES: Since the beginning of the year 2020, the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) impacted humankind adversely in almost all spheres of life. The virus belongs to the genus Betacoronavirus of the family Coronaviridae. SARS-CoV-2 ca...

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Autores principales: Sapkal, Gajanan, Shete-Aich, Anita, Jain, Rajlaxmi, Yadav, Pragya D., Sarkale, Prasad, Lakra, Rajen, Baradkar, Srikant, Deshpande, Gururaj Rao, Mali, Deepak, Tilekar, Bipin N., Majumdar, Triparna, Kaushal, Himanshu, Gurav, Yogesh, Gupta, Nivedita, Mohandas, Sreelekshmy, Deshpande, Ketki, Kaduskar, Ojas, Salve, Malvika, Patil, Savita, Gaikwad, Shivshankar, Sugunan, A.P., Ashok, M., Giri, Sidhartha, Shastri, Jayanthi, Abraham, Priya, Gangakhedkar, Raman R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530443/
https://www.ncbi.nlm.nih.gov/pubmed/32611915
http://dx.doi.org/10.4103/ijmr.IJMR_2232_20
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author Sapkal, Gajanan
Shete-Aich, Anita
Jain, Rajlaxmi
Yadav, Pragya D.
Sarkale, Prasad
Lakra, Rajen
Baradkar, Srikant
Deshpande, Gururaj Rao
Mali, Deepak
Tilekar, Bipin N.
Majumdar, Triparna
Kaushal, Himanshu
Gurav, Yogesh
Gupta, Nivedita
Mohandas, Sreelekshmy
Deshpande, Ketki
Kaduskar, Ojas
Salve, Malvika
Patil, Savita
Gaikwad, Shivshankar
Sugunan, A.P.
Ashok, M.
Giri, Sidhartha
Shastri, Jayanthi
Abraham, Priya
Gangakhedkar, Raman R.
author_facet Sapkal, Gajanan
Shete-Aich, Anita
Jain, Rajlaxmi
Yadav, Pragya D.
Sarkale, Prasad
Lakra, Rajen
Baradkar, Srikant
Deshpande, Gururaj Rao
Mali, Deepak
Tilekar, Bipin N.
Majumdar, Triparna
Kaushal, Himanshu
Gurav, Yogesh
Gupta, Nivedita
Mohandas, Sreelekshmy
Deshpande, Ketki
Kaduskar, Ojas
Salve, Malvika
Patil, Savita
Gaikwad, Shivshankar
Sugunan, A.P.
Ashok, M.
Giri, Sidhartha
Shastri, Jayanthi
Abraham, Priya
Gangakhedkar, Raman R.
author_sort Sapkal, Gajanan
collection PubMed
description BACKGROUND & OBJECTIVES: Since the beginning of the year 2020, the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) impacted humankind adversely in almost all spheres of life. The virus belongs to the genus Betacoronavirus of the family Coronaviridae. SARS-CoV-2 causes the disease known as coronavirus disease 2019 (COVID-19) with mild-to-severe respiratory illness. The currently available diagnostic tools for the diagnosis of COVID-19 are mainly based on molecular assays. Real-time reverse transcription-polymerase chain reaction is the only diagnostic method currently recommended by the World Health Organization for COVID-19. With the rapid spread of SARS-CoV-2, it is necessary to utilize other tests, which would determine the burden of the disease as well as the spread of the outbreak. Considering the need for the development of such a screening test, an attempt was made to develop and evaluate an IgG-based ELISA for COVID-19. METHODS: A total of 513 blood samples (131 positive, 382 negative for SARS-CoV-2) were collected and tested by microneutralization test (MNT). Antigen stock of SARS-CoV-2 was prepared by propagating the virus in Vero CCL-81 cells. An IgG capture ELISA was developed for serological detection of anti-SARS-CoV-2 IgG in serum samples. The end point cut-off values were determined by using receiver operating characteristic (ROC) curve. Inter-assay variability was determined. RESULTS: The developed ELISA was found to be 92.37 per cent sensitive, 97.9 per cent specific, robust and reproducible. The positive and negative predictive values were 94.44 and 98.14 per cent, respectively. INTERPRETATION & CONCLUSIONS: This indigenously developed IgG ELISA was found to be sensitive and specific for the detection of anti-SARS-CoV-2 IgG in human serum samples. This assay may be used for determining seroprevalence of SARS-CoV-2 in a population exposed to the virus.
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spelling pubmed-75304432020-10-13 Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG Sapkal, Gajanan Shete-Aich, Anita Jain, Rajlaxmi Yadav, Pragya D. Sarkale, Prasad Lakra, Rajen Baradkar, Srikant Deshpande, Gururaj Rao Mali, Deepak Tilekar, Bipin N. Majumdar, Triparna Kaushal, Himanshu Gurav, Yogesh Gupta, Nivedita Mohandas, Sreelekshmy Deshpande, Ketki Kaduskar, Ojas Salve, Malvika Patil, Savita Gaikwad, Shivshankar Sugunan, A.P. Ashok, M. Giri, Sidhartha Shastri, Jayanthi Abraham, Priya Gangakhedkar, Raman R. Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Since the beginning of the year 2020, the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) impacted humankind adversely in almost all spheres of life. The virus belongs to the genus Betacoronavirus of the family Coronaviridae. SARS-CoV-2 causes the disease known as coronavirus disease 2019 (COVID-19) with mild-to-severe respiratory illness. The currently available diagnostic tools for the diagnosis of COVID-19 are mainly based on molecular assays. Real-time reverse transcription-polymerase chain reaction is the only diagnostic method currently recommended by the World Health Organization for COVID-19. With the rapid spread of SARS-CoV-2, it is necessary to utilize other tests, which would determine the burden of the disease as well as the spread of the outbreak. Considering the need for the development of such a screening test, an attempt was made to develop and evaluate an IgG-based ELISA for COVID-19. METHODS: A total of 513 blood samples (131 positive, 382 negative for SARS-CoV-2) were collected and tested by microneutralization test (MNT). Antigen stock of SARS-CoV-2 was prepared by propagating the virus in Vero CCL-81 cells. An IgG capture ELISA was developed for serological detection of anti-SARS-CoV-2 IgG in serum samples. The end point cut-off values were determined by using receiver operating characteristic (ROC) curve. Inter-assay variability was determined. RESULTS: The developed ELISA was found to be 92.37 per cent sensitive, 97.9 per cent specific, robust and reproducible. The positive and negative predictive values were 94.44 and 98.14 per cent, respectively. INTERPRETATION & CONCLUSIONS: This indigenously developed IgG ELISA was found to be sensitive and specific for the detection of anti-SARS-CoV-2 IgG in human serum samples. This assay may be used for determining seroprevalence of SARS-CoV-2 in a population exposed to the virus. Wolters Kluwer - Medknow 2020-05 /pmc/articles/PMC7530443/ /pubmed/32611915 http://dx.doi.org/10.4103/ijmr.IJMR_2232_20 Text en Copyright: © 2020 Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sapkal, Gajanan
Shete-Aich, Anita
Jain, Rajlaxmi
Yadav, Pragya D.
Sarkale, Prasad
Lakra, Rajen
Baradkar, Srikant
Deshpande, Gururaj Rao
Mali, Deepak
Tilekar, Bipin N.
Majumdar, Triparna
Kaushal, Himanshu
Gurav, Yogesh
Gupta, Nivedita
Mohandas, Sreelekshmy
Deshpande, Ketki
Kaduskar, Ojas
Salve, Malvika
Patil, Savita
Gaikwad, Shivshankar
Sugunan, A.P.
Ashok, M.
Giri, Sidhartha
Shastri, Jayanthi
Abraham, Priya
Gangakhedkar, Raman R.
Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
title Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
title_full Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
title_fullStr Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
title_full_unstemmed Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
title_short Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
title_sort development of indigenous igg elisa for the detection of anti-sars-cov-2 igg
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530443/
https://www.ncbi.nlm.nih.gov/pubmed/32611915
http://dx.doi.org/10.4103/ijmr.IJMR_2232_20
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