Evidence map›Paper›PMID 33083807›Full record

ArticlemedRxiv : the preprint server for health sciences2020

A betacoronavirus multiplex microsphere immunoassay detects early SARS-CoV-2 seroconversion and controls for pre-existing seasonal human coronavirus antibody cross-reactivity.

Eric D Laing, Spencer L Sterling, Stephanie A Richard, Shreshta Phogat, Emily C Samuels, Nusrat J Epsi, Lianying Yan, Nicole Moreno, Christian Coles, Jennifer Mehalko and 13 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
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, 10 citations in OpenAlex.

No citing paper in PubMed yet.

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

23 authors at 5 institutions in 1 country.

Eric D LaingDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Spencer L SterlingDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Stephanie A RichardInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Shreshta PhogatDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Emily C SamuelsDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Nusrat J EpsiInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Lianying YanDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Nicole MorenoInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Christian ColesInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Jennifer MehalkoProtein Expression Laboratory, National Cancer Institute RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Matthew DrewProtein Expression Laboratory, National Cancer Institute RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Caroline EnglishInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Kevin K ChungDepartment of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
G Travis CliftonBrooke Army Medical Center, JBSA Fort Sam Houston, TX, USA.
Vincent J MunsterLaboratory of Virology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.
Emmie de WitLaboratory of Virology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.
David TribbleInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Brian K AganInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Dominic EspositoProtein Expression Laboratory, National Cancer Institute RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Charlotte LanteriInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Edward MitreDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Timothy H BurgessInfectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Christopher C BroderDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Henry M. Jackson Foundation · USUniformed Services University of the Health Sciences · USProtein Express (United States) · USNational Institutes of Health · USBrooke Army Medical Center · US

Funding

DATA CENTER FOR EPIDEMIOLOGIC INVESTIGATIONS OF HIVN01AI005072 · NIAID · NEW ENGLAND RESEARCH INSTITUTES, INC. · PI MCKINLAY, SONJA M · 1990 to 1994
–
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENIAID NIH HHS Y01 AI005072
6 · The paper itself

Abstract

With growing concern of persistent or multiple waves of SARS-CoV-2 in the United States, sensitive and specific SARS-CoV-2 antibody assays remain critical for community and hospital-based SARS-CoV-2 surveillance. Here, we describe the development and application of a multiplex microsphere-based immunoassay (MMIA) for COVD-19 antibody studies, utilizing serum samples from non-human primate SARS-CoV-2 infection models, an archived human sera bank and subjects enrolled at five U.S. military hospitals. The MMIA incorporates prefusion stabilized spike glycoprotein trimers of SARS-CoV-2, SARS-CoV-1, MERS-CoV, and the seasonal human coronaviruses HCoV-HKU1 and HCoV-OC43, into a multiplexing system that enables simultaneous measurement of off-target pre-existing cross-reactive antibodies. We report the sensitivity and specificity performances for this assay strategy at 98% sensitivity and 100% specificity for subject samples collected as early as 10 days after the onset of symptoms. In archival sera collected prior to 2019 and serum samples from subjects PCR negative for SARS-CoV-2, we detected seroprevalence of 72% and 98% for HCoV-HKU1 and HCoV-0C43, respectively. Requiring only 1.25 μL of sera, this approach permitted the simultaneous identification of SARS-CoV-2 seroconversion and polyclonal SARS-CoV-2 IgG antibody responses to SARS-CoV-1 and MERS-CoV, further demonstrating the presence of conserved epitopes in the spike glycoprotein of zoonotic betacoronaviruses. Application of this serology assay in observational studies with serum samples collected from subjects before and after SARS-CoV-2 infection will permit an investigation of the influences of HCoV-induced antibodies on COVID-19 clinical outcomes.

Identifiers

PMID33083807
PMCPMC7574255
OpenAlexW3093176219

What OpenQuestion holds

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Registered trials

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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.