Evidence map›Paper›PMID 33761415›Full record

ArticleBiosensors & bioelectronics2021

Multiplex quantitative detection of SARS-CoV-2 specific IgG and IgM antibodies based on DNA-assisted nanopore sensing.

Zehui Zhang, Xiaoqin Wang, Xiaojun Wei, Sophia W Zheng, Brian J Lenhart, Peisheng Xu, Jie Li, Jing Pan, Helmut Albrecht, Chang Liu

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zehui ZhangBiomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Xiaoqin WangDepartment of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Xiaojun WeiBiomedical 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.
Sophia W ZhengBiomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Brian J LenhartDepartment of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Peisheng XuDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Jie LiDepartment of Chemistry and Biochemistry, College of Arts and Sciences, University of South Carolina, Columbia, SC 29208, USA.
Jing PanDepartment of Mechanical and Aerospace Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL 32611, USA.
Helmut AlbrechtDepartment 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.
Chang LiuBiomedical 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.

Funding

South Carolina IDeA Networks of Biomedical Research (SC INBRE V)P20GM103499 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI EDIE C GOLDSMITH · 2012 to 2026
$61.0M
A Solid-State Nanopore Biosensor for Rapid Detection of Mycobacterium tuberculosis Antigens in Pediatric Blood SamplesK22AI136686 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LIU, CHANG · 2019 to 2020
$265k
NIAID NIH HHS K22 AI136686NIGMS NIH HHS P20 GM103499
6 · The paper itself

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.

Indexed as

Biosensing TechniquesNanoporesAntibodies, ViralCOVID-19COVID-19 TestingDNAEnzyme-Linked Immunosorbent AssayHumansImmunoglobulin GImmunoglobulin MSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralDNAImmunoglobulin GImmunoglobulin MAntibodyCOVID-19In vitro diagnosticsNanoporeSARS-CoV-2

Identifiers

PMID33761415
PMCPMC7927651

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.