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Array-based analysis of SARS-CoV-2, other coronaviruses, and influenza antibodies in convalescent COVID-19 patients.
- Source :
-
Biosensors & bioelectronics [Biosens Bioelectron] 2020 Dec 01; Vol. 169, pp. 112643. Date of Electronic Publication: 2020 Sep 21. - Publication Year :
- 2020
-
Abstract
- Detection of antibodies to upper respiratory pathogens is critical to surveillance, assessment of the immune status of individuals, vaccine development, and basic biology. The urgent need for antibody detection tools has proven particularly acute in the COVID-19 era. We report a multiplex label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) platform for detection of antibodies to SARS-CoV-2, SARS-CoV-1, MERS, three circulating coronavirus strains (HKU1, 229E, OC43) and three strains of influenza. We find that the array is readily able to distinguish uninfected from convalescent COVID-19 subjects, and provides quantitative information about total Ig, as well as IgG- and IgM-specific responses.<br /> (Copyright © 2020 Elsevier B.V. All rights reserved.)
- Subjects :
- Betacoronavirus isolation & purification
Biosensing Techniques instrumentation
Biosensing Techniques methods
COVID-19
Coronavirus Infections diagnosis
Coronavirus Infections virology
Equipment Design
HEK293 Cells
Humans
Influenza, Human diagnosis
Influenza, Human virology
Middle East Respiratory Syndrome Coronavirus isolation & purification
Pandemics
Pneumonia, Viral diagnosis
Pneumonia, Viral virology
Protein Array Analysis instrumentation
Protein Array Analysis methods
Severe acute respiratory syndrome-related coronavirus isolation & purification
SARS-CoV-2
Sensitivity and Specificity
Antibodies, Viral blood
Coronavirus isolation & purification
Coronavirus Infections blood
Influenza A virus isolation & purification
Influenza, Human blood
Pneumonia, Viral blood
Subjects
Details
- Language :
- English
- ISSN :
- 1873-4235
- Volume :
- 169
- Database :
- MEDLINE
- Journal :
- Biosensors & bioelectronics
- Publication Type :
- Academic Journal
- Accession number :
- 33007615
- Full Text :
- https://doi.org/10.1016/j.bios.2020.112643