Evidence map›Paper›PMID 34848436›Full record

ArticleLife science alliance2022

Microfluidic characterisation reveals broad range of SARS-CoV-2 antibody affinity in human plasma.

Matthias M Schneider, Marc Emmenegger, Catherine K Xu, Itzel Condado Morales, Georg Meisl, Priscilla Turelli, Chryssa Zografou, Manuela R Zimmermann, Beat M Frey, Sebastian Fiedler and 9 more

Open access · goldAbstract read
In one paragraph

Article in Life science alliance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

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  5. Structural analyses of βJournal of thrombosis and haemostasis : JTH · 2023
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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

19 authors at 4 institutions in 2 countries.

Matthias M SchneiderCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.ORCID 0000-0002-1894-1859
Marc EmmeneggerInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6073-8811
Catherine K XuCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Itzel Condado MoralesInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-7592-4556
Georg MeislCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Priscilla TurelliSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-7302-9977
Chryssa ZografouInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-2934-2739
Manuela R ZimmermannCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.ORCID 0000-0002-3443-2050
Beat M FreyRegional Blood Transfusion Service Zurich, Swiss Red Cross, Schlieren, Switzerland.ORCID 0000-0002-2514-8621
Sebastian FiedlerFluidic Analytics, Unit A, Paddocks Business Centre, Cambridge, UK.ORCID 0000-0003-0953-4327
Viola DenningerFluidic Analytics, Unit A, Paddocks Business Centre, Cambridge, UK.
Raphaël Pb JacquatCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.ORCID 0000-0002-8661-9722
Lidia MadrigalInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.
Alison IlsleyFluidic Analytics, Unit A, Paddocks Business Centre, Cambridge, UK.ORCID 0000-0003-1772-6951
Vasilis KosmoliaptsisDepartment of Surgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.ORCID 0000-0001-7298-1387
Heike FieglerFluidic Analytics, Unit A, Paddocks Business Centre, Cambridge, UK.
Didier TronoSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-3383-0401
Tuomas Pj KnowlesCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Adriano AguzziInstitute of Neuropathology, University of Zurich, Zurich, Switzerland adriano.aguzzi@usz.ch tpjk2@cam.ac.uk.ORCID 0000-0002-0344-6708
University of Cambridge · GBUniversity of Zurich · CHÉcole Polytechnique Fédérale de Lausanne · CHSwiss Red Cross · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical outcome of SARS-CoV-2 infections, which can range from asymptomatic to lethal, is crucially shaped by the concentration of antiviral antibodies and by their affinity to their targets. However, the affinity of polyclonal antibody responses in plasma is difficult to measure. Here we used microfluidic antibody affinity profiling (MAAP) to determine the aggregate affinities and concentrations of anti-SARS-CoV-2 antibodies in plasma samples of 42 seropositive individuals, 19 of which were healthy donors, 20 displayed mild symptoms, and 3 were critically ill. We found that dissociation constants,

Indexed as

AdultAgedAngiotensin-Converting Enzyme 2Antibodies, ViralAntibody AffinityB-LymphocytesCOVID-19Cross ReactionsFemaleHumansMaleMicrofluidicsMiddle AgedSARS-CoV-2Severity of Illness IndexSpike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2Antibodies, ViralSpike Glycoprotein, Coronavirus

Identifiers

PMID34848436
PMCPMC8645332
OpenAlexW3215485333

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.