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


Journal

The Indian journal of medical research
ISSN: 0971-5916
Titre abrégé: Indian J Med Res
Pays: India
ID NLM: 0374701

Informations de publication

Date de publication:
May 2020
Historique:
entrez: 3 7 2020
pubmed: 3 7 2020
medline: 14 7 2020
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND & OBJECTIVES OBJECTIVE
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 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 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 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.

Identifiants

pubmed: 32611915
pii: IndianJMedRes_2020_151_5_444_286007
doi: 10.4103/ijmr.IJMR_2232_20
pmc: PMC7530443
doi:

Substances chimiques

Antibodies, Viral 0
Immunoglobulin G 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

444-449

Déclaration de conflit d'intérêts

None

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Auteurs

Gajanan Sapkal (G)

Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Anita Shete-Aich (A)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Rajlaxmi Jain (R)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Pragya D Yadav (PD)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Prasad Sarkale (P)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Rajen Lakra (R)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Srikant Baradkar (S)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Gururaj Rao Deshpande (GR)

Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Deepak Mali (D)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Bipin N Tilekar (BN)

Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Triparna Majumdar (T)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Himanshu Kaushal (H)

Human Influenza Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Yogesh Gurav (Y)

Epidemiology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Nivedita Gupta (N)

Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.

Sreelekshmy Mohandas (S)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Ketki Deshpande (K)

Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Ojas Kaduskar (O)

Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Malvika Salve (M)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Savita Patil (S)

Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Shivshankar Gaikwad (S)

Diagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

A P Sugunan (AP)

ICMR-National Institute of Virology, Kerala Unit, Alappuzha, Kerala, India.

M Ashok (M)

ICMR-National Institute of Virology, Bangalore Unit, Bengaluru, Karnataka, India.

Sidhartha Giri (S)

Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.

Jayanthi Shastri (J)

Department of Microbiology, Kasturba Hospital for Infectious Diseases, Mumbai, Maharashtra, India.

Priya Abraham (P)

ICMR-National Institute of Virology, Pune, Maharashtra, India.

Raman R Gangakhedkar (RR)

Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.

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