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Multiplex quantitative detection of SARS-CoV-2 specific IgG and IgM antibodies based on DNA-assisted nanopore sensing.
Zhang, Zehui; Wang, Xiaoqin; Wei, Xiaojun; Zheng, Sophia W; Lenhart, Brian J; Xu, Peisheng; Li, Jie; Pan, Jing; Albrecht, Helmut; Liu, Chang.
  • Zhang Z; Biomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Wang X; Department of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Wei X; Biomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA; Department of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Zheng SW; Biomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Lenhart BJ; Department of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Xu P; Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
  • Li J; Department of Chemistry and Biochemistry, College of Arts and Sciences, University of South Carolina, Columbia, SC 29208, USA.
  • Pan J; Department of Mechanical and Aerospace Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL 32611, USA.
  • Albrecht H; Department of Internal Medicine, School of Medicine, University of South Carolina, Columbia, SC 29209, USA; Department of Internal Medicine, Palmetto Health USC Medical Group, Columbia, SC 29203, USA.
  • Liu C; Biomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA; Department of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA. Electronic address: changliu@cec.sc.edu.
Biosens Bioelectron ; 181: 113134, 2021 Jun 01.
Article in English | MEDLINE | ID: covidwho-1116329
ABSTRACT
The coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread into a global pandemic. Early and accurate diagnosis and quarantine remain the most effective mitigation strategy. Although reverse transcriptase polymerase chain reaction (RT-qPCR) is the gold standard for COVID-19 diagnosis, recent studies suggest that nucleic acids were undetectable in a significant number of cases with clinical features of COVID-19. Serologic assays that detect human antibodies to SARS-CoV-2 serve as a complementary method to diagnose these cases, as well as to identify asymptomatic cases and qualified convalescent serum donors. However, commercially available enzyme-linked immunosorbent assays (ELISA) are laborious and non-quantitative, while point-of-care assays suffer from low detection accuracy. To provide a serologic assay with high performance and portability for potential point-of-care applications, we developed DNA-assisted nanopore sensing for quantification of SARS-CoV-2 related antibodies in human serum. Different DNA structures were used as detection reporters for multiplex quantification of immunoglobulin M (IgM) and immunoglobulin G (IgG) antibodies against the nucleocapsid protein of SARS-CoV-2 in serum specimens from patients with conformed or suspected infection. Comparing to a clinically used point-of-care assay and an ELISA assay, our technology can reliably quantify SARS-CoV-2 antibodies with higher accuracy, large dynamic range, and potential for assay automation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Nanopores / COVID-19 Testing / COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2021 Document Type: Article Affiliation country: J.bios.2021.113134

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Nanopores / COVID-19 Testing / COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2021 Document Type: Article Affiliation country: J.bios.2021.113134