Evidence map›Paper›PMID 38894961›Full record

ArticleAPL bioengineering2024

IgG and IgM differentiation in a particle-based agglutination assay by control over antigen surface density.

Shanil Gandhi, Xhorxhina Shaulli, Jeppe Fock, Frank Scheffold, Rodolphe Marie

Abstract read
In one paragraph

Article in APL bioengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Shanil GandhiDepartment of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0002-0532-1271
Xhorxhina ShaulliDepartment of Physics, University of Fribourg, Chemin du Musée 3, CH-1700 Fribourg, Switzerland.ORCID https://orcid.org/0000-0002-6751-0000
Jeppe FockScalevate I/S, 2640 Hedehusene, Denmark.ORCID https://orcid.org/0000-0002-7515-4026
Frank ScheffoldDepartment of Physics, University of Fribourg, Chemin du Musée 3, CH-1700 Fribourg, Switzerland.ORCID https://orcid.org/0000-0002-0567-5811
Rodolphe MarieDepartment of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0002-8338-1990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care (POC) testing offers fast and on-site diagnostics and can be crucial against many infectious diseases and in screening. One remaining challenge in serological POC testing is the quantification of immunoglobulin G (IgG) and immunoglobulin M (IgM). Quantification of IgG/IgM can be important to evaluate immunity and to discriminate recent infections from past infections and primary infections from secondary infections. POC tests such as lateral flow immunoassays allow IgG and IgM differentiation; however, a remaining limitation is their incapacity to provide quantitative results. In this work, we show how samples containing IgG or IgM can be distinguished in a nanoparticle-based agglutination biosensing assay by tuning the density of antigens on the nanoparticles' surface. We employ direct STochastic Optical Reconstruction Microscopy to quantify the accessible SARS-CoV-2 trimeric spike proteins conjugated to magnetic nanoparticles at a single-particle level and gain insight into the protein distribution provided by the conjugation procedure. Furthermore, we measure the anti-SARS-CoV-2 IgG/IgM induced agglutination using an optomagnetic readout principle. We show that particles with high antigen density have a relatively higher sensitivity toward IgM compared to IgG, whereas low antigen density provides a relatively higher sensitivity to IgG. The finding paves the way for its implementation for other agglutination-based serology tests, allowing for more accurate disease diagnosis.

Identifiers

PMID38894961
PMCPMC11184967

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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.