Evidence map›Paper›PMID 33945500›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

A high-throughput microfluidic nanoimmunoassay for detecting anti-SARS-CoV-2 antibodies in serum or ultralow-volume blood samples.

Zoe Swank, Grégoire Michielin, Hon Ming Yip, Patrick Cohen, Diego O Andrey, Nicolas Vuilleumier, Laurent Kaiser, Isabella Eckerle, Benjamin Meyer, Sebastian J Maerkl

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 62 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 3 institutions in 1 country.

Zoe SwankInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.ORCID 0000-0001-8825-0335
Grégoire MichielinInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.ORCID 0000-0002-6809-9612
Hon Ming YipInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.ORCID 0000-0002-8406-4460
Patrick CohenDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.
Diego O AndreyDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.ORCID 0000-0003-3247-9274
Nicolas VuilleumierDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.
Laurent KaiserDivision of Infectious Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 1205 Geneva, Switzerland.ORCID 0000-0002-0857-2252
Isabella EckerleDivision of Infectious Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 1205 Geneva, Switzerland; sebastian.maerkl@epfl.ch Benjamin.Meyer@unige.ch isabella.eckerle@chuge.ch.
Benjamin MeyerCentre for Vaccinology, Department of Pathology and Immunology, University of Geneva, 1205 Geneva, Switzerland sebastian.maerkl@epfl.ch Benjamin.Meyer@unige.ch isabella.eckerle@chuge.ch.
Sebastian J MaerklInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland; sebastian.maerkl@epfl.ch Benjamin.Meyer@unige.ch isabella.eckerle@chuge.ch.
École Polytechnique Fédérale de Lausanne · CHUniversity Hospital of Geneva · CHUniversity of Geneva · CH

Funding

European Research Council
6 · The paper itself

Abstract

Novel technologies are needed to facilitate large-scale detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) specific antibodies in human blood samples. Such technologies are essential to support seroprevalence studies and vaccine clinical trials, and to monitor quality and duration of immunity. We developed a microfluidic nanoimmunoassay (NIA) for the detection of anti-SARS-CoV-2 IgG antibodies in 1,024 samples per device. The method achieved a specificity of 100% and a sensitivity of 98% based on the analysis of 289 human serum samples. To eliminate the need for venipuncture, we developed low-cost, ultralow-volume whole blood sampling methods based on two commercial devices and repurposed a blood glucose test strip. The glucose test strip permits the collection, shipment, and analysis of 0.6 μL of whole blood easily obtainable from a simple finger prick. The NIA platform achieves high throughput, high sensitivity, and specificity based on the analysis of 289 human serum samples, and negligible reagent consumption. We furthermore demonstrate the possibility to combine NIA with decentralized and simple approaches to blood sample collection. We expect this technology to be applicable to current and future SARS-CoV-2 related serological studies and to protein biomarker analysis in general.

Indexed as

Antibodies, ViralCOVID-19COVID-19 Serological TestingDried Blood Spot TestingHigh-Throughput Screening AssaysHumansImmunoassayImmunoglobulin GMicrofluidic Analytical TechniquesReproducibility of ResultsSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingAntibodies, ViralImmunoglobulin Ghigh-throughput serologymicrofluidicsnanoimmunoassaySARS-CoV-2

Identifiers

PMID33945500
PMCPMC8106336
OpenAlexW3156470448

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.