Evidence map›Paper›PMID 33226594›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Isotype-Specific Detection of Serum Immunoglobulins Against Allergens.

Danielle L Germundson, Kumi Nagamoto-Combs

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 6 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

2 authors at 1 institution in 1 country.

Danielle L GermundsonDepartment of Pathology, University of North Dakota School of Medicine & Health Sciences, Grand Forks, ND, USA.
Kumi Nagamoto-CombsDepartment of Biomedical Sciences, University of North Dakota School of Medicine & Health Sciences, Grand Forks, ND, USA. kumi.combs@und.edu.
University of North Dakota · US

Funding

Research CoresP20GM103442 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI Donald A. Sens · 2012 to 2026
$53.0M
Yersina perstis interactions with macrophagesP20GM113123 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI COMBS, COLIN K · 2016 to 2025
$19.9M
NIGMS NIH HHS P20 GM103442NIGMS NIH HHS P20 GM113123
6 · The paper itself

Abstract

Type-I hypersensitivity is commonly characterized by increased levels of antigen-specific immunoglobulin (Ig) E. Therefore, it is important for clinical and research investigators to reliably measure serum levels of IgE in allergic patients and animal models. While current ELISA-based methods are simple and commonly performed for the detection of allergen-specific IgE using serum or plasma, they may produce misleading results. This is in part due to decreased sensitivity for IgE in the presence of other Ig isotypes in the same sample, such as IgG, that are typically more abundant than IgE. When assessment of multiple Ig isotypes is necessary, performing optimized assays for individual isotypes requires high sample volumes. Here, we describe an approach to increase the sensitivity for IgE detection while conserving the sample volume needed. This method not only improves the accuracy of serum IgE measurements but also allows simultaneous analysis of other allergen-specific immunoglobulins.

Indexed as

Immunomagnetic SeparationAnimalsBacterial ProteinsBiotinEnzyme-Linked Immunosorbent AssayHorseradish PeroxidaseImmunoglobulin EImmunoglobulin GLactoglobulinsMaleMiceMice, Inbred C57BLMilk HypersensitivityProtein BindingStreptavidinBacterial ProteinsBiotinHorseradish PeroxidaseIgG Fc-binding protein, StreptococcusImmunoglobulin EImmunoglobulin GLactoglobulinsStreptavidinAdsorptionAllergyEnzyme-linked immunosorbent assay (ELISA)ImmunoglobulinsProtein-G

Identifiers

PMID33226594
PMCPMC8713595
OpenAlexW3108070271

What OpenQuestion holds

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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.