Abstract

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.

Details

Title
Development of indigenous IgG ELISA for the detection of anti-SARS-CoV-2 IgG
Author
Sapkal, Gajanan 1 ; Shete-Aich, Anita 2 ; Jain, Rajlaxmi 2 ; Yadav, Pragya 2 ; Prasad Sarkale 2 ; Lakra, Rajen 2 ; Baradkar, Srikant 2 ; Deshpande, Gururaj 1 ; Mali, Deepak 2 ; Tilekar, Bipin 1 ; Majumdar, Triparna 2 ; Kaushal, Himanshu 3 ; Gurav, Yogesh 4 ; Gupta, Nivedita 5 ; Mohandas, Sreelekshmy 2 ; Deshpande, Ketki 1 ; Kaduskar, Ojas 1 ; Salve, Malvika 2 ; Patil, Savita 2 ; Gaikwad, Shivshankar 1 ; Sugunan, A 6 ; Ashok, M 7 ; Giri, Sidhartha 5 ; Shastri, Jayanthi 8 ; Abraham, Priya 9 ; Raman Gangakhedkar 5 ; COVID Support Team

 Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra 
 Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra 
 Human Influenza Group, ICMR-National Institute of Virology, Pune, Maharashtra 
 Epidemiology Group, ICMR-National Institute of Virology, Pune, Maharashtra 
 Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi 
 ICMR-National Institute of Virology, Kerala Unit, Alappuzha, Kerala 
 ICMR-National Institute of Virology, Bangalore Unit, Bengaluru, Karnataka 
 Department of Microbiology, Kasturba Hospital for Infectious Diseases, Mumbai, Maharashtra 
 ICMR-National Institute of Virology, Pune, Maharashtra 
Pages
444-449
Publication year
2020
Publication date
May 2020
Publisher
Scientific Scholar
ISSN
0971-5916
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2417961480
Copyright
© 2020. This article is published under (http://creativecommons.org/licenses/by-nc-sa/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.