Standardization of ELISA protocols for serosurveys of the SARS-CoV-2 pandemic using clinical and at-home blood sampling

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作者
Carleen Klumpp-Thomas
Heather Kalish
Matthew Drew
Sally Hunsberger
Kelly Snead
Michael P. Fay
Jennifer Mehalko
Anandakumar Shunmugavel
Vanessa Wall
Peter Frank
John-Paul Denson
Min Hong
Gulcin Gulten
Simon Messing
Jennifer Hicks
Sam Michael
William Gillette
Matthew D. Hall
Matthew J. Memoli
Dominic Esposito
Kaitlyn Sadtler
机构
[1] National Institutes of Health,National Center for Advancing Translational Sciences
[2] National Institutes of Health,Section on Immuno
[3] National Institutes of Health,Engineering, National Institute of Biomedical Imaging and Bioengineering
[4] NCI RAS Initiative,Trans
[5] Frederick National Laboratory for Cancer Research,NIH Shared Resource on Biomedical Engineering and Physical Science, National Institute of Biomedical Imaging and Bioengineering
[6] National Institutes of Health,Protein Expression Laboratory
[7] National Institutes of Health,Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases
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The extent of SARS-CoV-2 infection throughout the United States population is currently unknown. High quality serology is key to avoiding medically costly diagnostic errors, as well as to assuring properly informed public health decisions. Here, we present an optimized ELISA-based serology protocol, from antigen production to data analyses, that helps define thresholds for IgG and IgM seropositivity with high specificities. Validation of this protocol is performed using traditionally collected serum as well as dried blood on mail-in blood sampling kits. Archival (pre-2019) samples are used as negative controls, and convalescent, PCR-diagnosed COVID-19 patient samples serve as positive controls. Using this protocol, minimal cross-reactivity is observed for the spike proteins of MERS, SARS1, OC43 and HKU1 viruses, and no cross reactivity is observed with anti-influenza A H1N1 HAI. Our protocol may thus help provide standardized, population-based data on the extent of SARS-CoV-2 seropositivity, immunity and infection.
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