Evidence map›Paper›PMID 33127841›Full record

ArticleJournal of clinical microbiology2021

Highly Sensitive and Specific Multiplex Antibody Assays To Quantify Immunoglobulins M, A, and G against SARS-CoV-2 Antigens.

Carlota Dobaño, Marta Vidal, Rebeca Santano, Alfons Jiménez, Jordi Chi, Diana Barrios, Gemma Ruiz-Olalla, Natalia Rodrigo Melero, Carlo Carolis, Daniel Parras and 10 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 7% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

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6 more citing papers are in PubMed but not listed here.

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

20 authors at 6 institutions in 3 countries.

Carlota Dobaño *ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain Carlota.dobano@isglobal.org Gemma.moncunill@isglobal.org.ORCID 0000-0002-6751-4060
Marta Vidal *ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Rebeca SantanoISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Alfons JiménezISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Jordi ChiISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Diana BarriosISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Gemma Ruiz-OlallaISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Natalia Rodrigo MeleroBiomolecular Screening and Protein Technologies Unit, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Carlo CarolisBiomolecular Screening and Protein Technologies Unit, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Daniel ParrasInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Pau SerraInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Paula Martínez de AguirreClínica Universidad de Navarra, Navarra Institute for Health Research, Pamplona, Spain.
Francisco Carmona-TorreInfectious Diseases Division, Clínica Universidad de Navarra, Pamplona, Spain.
Gabriel ReinaClínica Universidad de Navarra, Navarra Institute for Health Research, Pamplona, Spain.ORCID 0000-0003-4079-9753
Pere SantamariaInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Alfredo MayorISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Alberto L García-BasteiroISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Luis IzquierdoISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.ORCID 0000-0002-3704-9874
Ruth AguilarISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Gemma MoncunillISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain Carlota.dobano@isglobal.org Gemma.moncunill@isglobal.org.
Barcelona Institute for Global Health · ESClinica Universidad de Navarra · ESCentre for Genomic Regulation · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESManhiça Health Research Centre · MZUniversity of Calgary · CA

Funding

NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

Reliable serological tests are required to determine the prevalence of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and to characterize immunity to the disease in order to address key knowledge gaps in the coronavirus disease 2019 (COVID-19) pandemic. Quantitative suspension array technology (qSAT) assays based on the xMAP Luminex platform overcome the limitations of rapid diagnostic tests and enzyme-linked immunosorbent assays (ELISAs) with their higher precision, dynamic range, throughput, miniaturization, cost-efficiency, and multiplexing capacity. We developed three qSAT assays for IgM, IgA, and IgG against a panel of eight SARS-CoV-2 antigens, including spike protein (S), nucleocapsid protein (N), and membrane protein (M) constructs. The assays were optimized to minimize the processing time and maximize the signal-to-noise ratio. We evaluated their performances using 128 prepandemic plasma samples (negative controls) and 104 plasma samples from individuals with SARS-CoV-2 diagnosis (positive controls), of whom 5 were asymptomatic, 51 had mild symptoms, and 48 were hospitalized. Preexisting IgG antibodies recognizing N, M, and S proteins were detected in negative controls, which is suggestive of cross-reactivity to common-cold coronaviruses. The best-performing antibody/antigen signatures had specificities of 100% and sensitivities of 95.78% at ≥14 days and 95.65% at ≥21 days since the onset of symptoms, with areas under the curve (AUCs) of 0.977 and 0.999, respectively. Combining multiple markers as assessed by qSAT assays has the highest efficiency, breadth, and versatility to accurately detect low-level antibody responses for obtaining reliable data on the prevalence of exposure to novel pathogens in a population. Our assays will allow gaining insights into antibody correlates of immunity and their kinetics, required for vaccine development to combat the COVID-19 pandemic.

Indexed as

AdultAntibodies, ViralAntigens, ViralCOVID-19COVID-19 Serological TestingCross ReactionsFemaleHumansImmunoassayImmunoglobulin IsotypesMaleMiddle AgedReproducibility of ResultsSARS-CoV-2Sensitivity and SpecificityViral Structural ProteinsAntibodies, ViralAntigens, ViralImmunoglobulin IsotypesViral Structural ProteinsantibodycoronavirusCOVID-19IgAIgGIgMimmunityimmunoassayLuminexmultiplexnucleocapsidperformancequantitative suspension array technologyRBDSARS-CoV-2sensitivityspecificityspike

Identifiers

PMID33127841
PMCPMC8111153
OpenAlexW3096972674

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.