Evidence map›Paper›PMID 39281094›Full record

ArticleJournal of asthma and allergy2024

Prevalence and Clinical Relevance of Anti-FcεRI Autoantibody in Crohn's Disease.

Yue Yin, Yusen Hu, Yanning Li, Xia Peng, Huanjin Liao, Wei Shen, Li Li

Abstract read
In one paragraph

Article in Journal of asthma and allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yue Yin *Department of Laboratory Medicine, Shanghai General Hospital, Shanghai, People's Republic of China.ORCID 0000-0002-7563-0555
Yusen Hu *Department of Gastroenterology, Shanghai General Hospital, Shanghai, People's Republic of China.
Yanning LiDepartment of Laboratory Medicine, Shanghai General Hospital, Shanghai, People's Republic of China.ORCID 0009-0001-2816-319X
Xia PengDepartment of Laboratory Medicine, Shanghai General Hospital, Shanghai, People's Republic of China.
Huanjin LiaoDepartment of Laboratory Medicine, Shanghai General Hospital, Shanghai, People's Republic of China.
Wei ShenDepartment of Laboratory Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, People's Republic of China.
Li LiDepartment of Laboratory Medicine, Shanghai General Hospital, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mast cells can be activated in various ways and were shown to be involved in the development of Crohn's disease (CD). The diagnosis of CD is still challenging, and seeking novel biomarkers is a worthwhile endeavor. Methods: An indirect enzyme-linked immunosorbent assay (ELISA) was successfully established for semi-quantitative detection of IgG anti-FcεRI in serum using human FcεRIα coated microplates and an enzyme-labeled anti-human IgG as secondary antibodies. The optimal working conditions were explored, followed by conducting the method evaluation. The serum samples and clinical data of 117 CD patients and 75 healthy controls were collected. IgE was measured by the rate turbidity turbidimetry; IgG anti-IgE and IgG anti-FcεRI were detected by ELISA. IgG anti-pancreatic antibody (PAB) and anti-Saccharomyces cerevisiae antibody (ASCA) were determined by indirect immunofluorescence assay. Data were analyzed concerning the clinical characteristics. Results: IgG anti-FcεRI was an effective marker for CD ( Conclusion: An ELISA for the detection of anti-FcεRI was established and validated, which may contribute to facilitating research on Crohn's diseases. Anti-FcεRI positive CD patients were associated with higher disease activity indices, suggesting its potential value in the diagnosis and management of CD.

Indexed as

anti-FcεRIautoantibodiesbiomarkersCrohn’s diseasemast cells

Identifiers

PMID39281094
PMCPMC11402341

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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.