Evidence map›Paper›PMID 32916610›Full record

ArticleBiosensors & bioelectronics2020

Rapid and quantitative detection of SARS-CoV-2 specific IgG for convalescent serum evaluation.

Xiaotian Tan, Mila Krel, Enriko Dolgov, Steven Park, Xuzhou Li, Weishu Wu, Yun-Lu Sun, Jie Zhang, Maung Kyaw Khaing Oo, David S Perlin and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
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  7. Molecular characterization of SARS-CoV-2 nucleocapsid protein.Frontiers in cellular and infection microbiology · 2024
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  8. Flower-like WSeAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
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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

11 authors.

Xiaotian TanDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Mila KrelCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, 07110, USA.
Enriko DolgovCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, 07110, USA.
Steven ParkCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, 07110, USA.
Xuzhou LiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Weishu WuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Yun-Lu SunDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Jie ZhangSino Biological Inc, Beijing, 100176, China; Beijing Key Laboratory of Monoclonal Antibody Research and Development, Beijing, 100176, China.
Maung Kyaw Khaing OoOptofluidic Bioassay, LLC, Ann Arbor, MI, 48103, USA. Electronic address: maungk@optobio.com.
David S PerlinCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, 07110, USA. Electronic address: david.perlin@hmh-cdi.org.
Xudong FanDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: xsfan@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Convalescent serum with a high abundance of neutralization IgG is a promising therapeutic agent for rescuing COVID-19 patients in the critical stage. Knowing the concentration of SARS-CoV-2 S1-specific IgG is crucial in selecting appropriate convalescent serum donors. Here, we present a portable microfluidic ELISA technology for rapid (15 min), quantitative, and sensitive detection of anti-SARS-CoV-2 S1 IgG in human serum with only 8 μL sample volume. We first identified a humanized monoclonal IgG that has a high binding affinity and a relatively high specificity towards SARS-CoV-2 S1 protein, which can subsequently serve as the calibration standard of anti-SARS-CoV-2 S1 IgG in serological analyses. We then measured the abundance of anti-SARS-CoV-2 S1 IgG in 16 convalescent COVID-19 patients. Due to the availability of the calibration standard and the large dynamic range of our assay, we were able to identify "qualified donors" for convalescent serum therapy with only one fixed dilution factor (200 ×). Finally, we demonstrated that our technology can sensitively detect SARS-CoV-2 antigens (S1 and N proteins) with pg/mL level sensitivities in 40 min. Overall, our technology can greatly facilitate rapid, sensitive, and quantitative analysis of COVID-19 related markers for therapeutic, diagnostic, epidemiologic, and prognostic purposes.

Indexed as

AdolescentAdultAntibodies, ViralAntigens, ViralBetacoronavirusBiosensing TechniquesCoronavirus InfectionsCOVID-19COVID-19 SerotherapyEnzyme-Linked Immunosorbent AssayEquipment DesignHumansImmunization, PassiveImmunoglobulin GLimit of DetectionLuminescent MeasurementsAntibodies, ViralAntigens, ViralImmunoglobulin GAntibody detectionCOVID-19ImmunoassayMicrofluidics

Identifiers

PMID32916610
PMCPMC7468592

What OpenQuestion holds

Textmetadata
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.