Evidence map›Paper›PMID 32743612›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Rapid and sensitive detection of SARS-CoV-2 antibodies by biolayer interferometry.

John V Dzimianski, Nicholas Lorig-Roach, Sara M O'Rourke, David L Alexander, Jacqueline M Kimmey, Rebecca M DuBois

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

John V DzimianskiDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA.
Nicholas Lorig-RoachDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA.
Sara M O'RourkeDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA.
David L AlexanderOntera Inc., Santa Cruz, California, USA.
Jacqueline M KimmeyDepartment of Microbiology and Environmental Toxicology, University of California Santa Cruz, Santa Cruz, California, USA.
Rebecca M DuBoisDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA.
University of California, Santa Cruz · US

Funding

An Octet Bio-layer Interferometer for Macromolecular Interaction Studies at UCSCS10OD027012 · OD · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI RUBIN, SETH MICHAEL · 2019 to 2019
$370k
NIAID NIH HHS HHSN272201400008CNIH HHS S10 OD027012
6 · The paper itself

Abstract

Serological testing to evaluate antigen-specific antibodies in plasma is generally performed by rapid lateral flow test strips that lack quantitative results or by high complexity immunoassays that are time- and labor-intensive but provide quantitative results. Here, we describe a novel application of biolayer interferometry for the rapid detection of antigen-specific antibody levels in plasma samples, and demonstrate its utility for quantification of SARS-CoV-2 antibodies. Our biolayer interferometry immunosorbent assay (BLI-ISA) utilizes single-use biosensors in an automated "dip-and-read" format, providing real-time optical measurements of antigen loading, plasma antibody binding, and antibody isotype detection. Complete quantitative results are obtained in less than 20 minutes. BLI-ISA meets or exceeds the performance of high complexity methods such as Enzyme-Linked Immunosorbent Assay (ELISA) and Chemiluminescent Immunoassay. Importantly, our method can be immediately implemented on existing BLI platforms for urgent COVID-19 studies, such as serosurveillance and the evaluation of vaccine candidates. In a broader sense, BLI-ISA can be developed as a novel diagnostic platform to evaluate antibodies and other biomolecules in clinical specimens.

Identifiers

PMID32743612
PMCPMC7388487
OpenAlexW3042960871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.