Evidence map›Paper›PMID 33805173›Full record

ArticleMicroorganisms2021

Diagnostic Performance of a Magnetic Field-Enhanced Agglutination Readout in Detecting Either Viral Genomes or Host Antibodies in Arbovirus Infection.

Fanny Leon, Elena Pinchon, Nevzat Temurok, François Morvan, Jean-Jacques Vasseur, Martine Clot, Vincent Foulongne, Jean-François Cantaloube, Philippe Vande Perre, Jean-Pierre Molès and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

12 authors at 3 institutions in 1 country.

Fanny LeonPathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.
Elena PinchonPathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.
Nevzat TemurokHORIBA Medical, 34184 Montpellier, France.
François MorvanInstitut des Biomolecules Max Mousseron (IBMM), Université de Montpellier, CNRS, ENSCM, 34095 Montpellier, France.ORCID 0000-0001-5077-0028
Jean-Jacques VasseurInstitut des Biomolecules Max Mousseron (IBMM), Université de Montpellier, CNRS, ENSCM, 34095 Montpellier, France.ORCID 0000-0002-4379-6139
Martine ClotHORIBA Medical, 34184 Montpellier, France.
Vincent FoulongnePathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.ORCID 0000-0003-3741-754X
Jean-François CantaloubePathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.
Philippe Vande PerrePathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.
Jean-Pierre MolèsPathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.ORCID 0000-0002-6863-6350
Aurélien DaynèsHORIBA Medical, 34184 Montpellier, France.ORCID 0000-0001-7921-4164
Chantal Fournier-WirthPathogénèse et Contrôle des Infections Chroniques et Emergentes, Université de Montpellier, Etablissement Français du Sang, Inserm, Université des Antilles, 34184 Montpellier, France.ORCID 0000-0001-6118-2918
Inserm · FRHoriba (France) · FRÉcole Nationale Supérieure de Chimie de Montpellier · FR

Funding

French Blood Establishment ArboMag projectHORIBA Medical, Montpellier France ArboMag projectInserm ArboMag projectUniversity of Montpellier, I-SITE MUSE ArboMag project
6 · The paper itself

Abstract

Arbovirus diagnostics on blood from donors and travelers returning from endemic areas is increasingly important for better patient management and epidemiological surveillance. We developed a flexible approach based on a magnetic field-enhanced agglutination (MFEA) readout to detect either genomes or host-derived antibodies. Dengue viruses (DENVs) were selected as models. For genome detection, a pan-flavivirus amplification was performed before capture of biotinylated amplicons between magnetic nanoparticles (MNPs) grafted with DENV probes and anti-biotin antibodies. Magnetization cycles accelerated this chaining process to within 5 min while simple turbidimetry measured the signal. This molecular MFEA readout was evaluated on 43 DENV RNA(+) and 32 DENV RNA(-) samples previously screened by real-time RT-PCR. The sensitivity and the specificity were 88.37% (95% CI, 78.76%-97.95%) and 96.87% (95% CI, 90.84%-100%), respectively. For anti-DENV antibody detection, 103 plasma samples from donors were first screened using ELISA assays. An immunological MFEA readout was then performed by adding MNPs grafted with viral antigens to the samples. Anti-DENV antibodies were detected with a sensitivity and specificity of 90.62% (95% CI, 83.50%-97.76%) and 97.44% (95% CI, 92.48%-100%), respectively. This adaptable approach offers flexibility to platforms dedicated to the screening of emerging infections.

Indexed as

antibodiesarbovirusinnovative diagnosticmagnetic agglutinationnanoparticlesviral genomes

Identifiers

PMID33805173
PMCPMC8064388
OpenAlexW3137353809

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.