Evidence map›Paper›PMID 32815769›Full record

ArticleSLAS technology2020

Sensitive and Specific Detection of SARS-CoV-2 Antibodies Using a High-Throughput, Fully Automated Liquid-Handling Robotic System.

Donna Grace Karp, Deanne Cuda, Devangkumar Tandel, Kenneth Danh, Peter V Robinson, David Seftel, Honglin Tian, Mark Pandori, Kevin W P Miller, Cheng-T Tsai

Open access · hybridAbstract read
In one paragraph

Article in SLAS technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Donna Grace KarpEnable Biosciences, South San Francisco, CA, USA.
Deanne CudaEnable Biosciences, South San Francisco, CA, USA.
Devangkumar TandelEnable Biosciences, South San Francisco, CA, USA.
Kenneth DanhEnable Biosciences, South San Francisco, CA, USA.
Peter V RobinsonEnable Biosciences, South San Francisco, CA, USA.
David SeftelEnable Biosciences, South San Francisco, CA, USA.
Honglin TianNevada State Public Health Laboratory, Reno, NV, USA.
Mark PandoriNevada State Public Health Laboratory, Reno, NV, USA.
Kevin W P MillerHamilton Company, Reno, NV, USA.
Cheng-T TsaiEnable Biosciences, South San Francisco, CA, USA.
Enable Biosciences (United States) · USNevada Division of Public and Behavioral Health · US

Funding

Multiplex food allergy diagnostic based on IgE immunologic markersR44AI141118 · NIAID · ENABLE BIOSCIENCES, INC. · PI SEFTEL, DAVID · 2020 to 2021
$1.5M
Multiplex food allergy diagnostic based on IgE immunologic markersR43AI141118 · NIAID · ENABLE BIOSCIENCES, INC. · PI SEFTEL, DAVID · 2018 to 2018
$224k
NIAID NIH HHS R43 AI141118NIAID NIH HHS R44 AI141118NIH HHS 2R44DK110005-02NIH HHS 2RAI141118-02
6 · The paper itself

Abstract

As of July 22, 2020, more than 14.7 million infections of SARS-CoV-2, the virus responsible for Coronavirus Disease 2019 (COVID-19), have been confirmed globally. Serological assays are essential for community screening, assessing infection prevalence, aiding identification of infected patients, and enacting appropriate treatment and quarantine protocols in the battle against this rapidly expanding pandemic. Antibody detection by agglutination-PCR (ADAP) is a pure solution phase immunoassay that generates a PCR amplifiable signal when patient antibodies agglutinate DNA-barcoded antigen probes into a dense immune complex. Here, we present an ultrasensitive and high-throughput automated liquid biopsy assay based on the Hamilton Microlab ADAP STAR automated liquid-handling platform, which was developed and validated for the qualitative detection of total antibodies against spike protein 1 (S1) of SARS-CoV-2 that uses as little as 4 µL of serum. To assess the clinical performance of the ADAP assay, 57 PCR-confirmed COVID-19 patients and 223 control patients were tested. The assay showed a sensitivity of 98% (56/57) and a specificity of 99.55% (222/223). Notably, the SARS-CoV-2-negative control patients included individuals with other common coronaviral infections, such as CoV-NL63 and CoV-HKU, which did not cross-react. In addition to high performance, the hands-free automated workstation enabled high-throughput sample processing to reduce screening workload while helping to minimize analyst contact with biohazardous samples. Therefore, the ADAP STAR liquid-handling workstation can be used as a valuable tool to address the COVID-19 global pandemic.

Indexed as

AlphacoronavirusAnimalsAutomation, LaboratoryChiropteraClinical Laboratory TechniquesCoronavirus NL63, HumanCOVID-19COVID-19 Serological TestingCross ReactionsHigh-Throughput Screening AssaysHumansImmunoassayPandemicsPolymerase Chain ReactionRobotic Surgical ProceduresSARS-CoV-2Spike Glycoprotein, Coronavirusagglutinationantibodyanti–spike proteinliquid handlingPCR

Identifiers

PMID32815769
PMCPMC7441286
OpenAlexW3080727557

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.