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Identification of novel human IgE-binding peptides from a phage display library for total IgE detection
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Metadata
Document Title
Identification of novel human IgE-binding peptides from a phage display library for total IgE detection
Name from Authors Collection
Affiliations
Advanced Diagnostics and Biomarker Discovery Research Team, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), 111 Thailand Science Park, Phahonyothin Road, Pathum Thani, 12120, Thailand
Type
Article
Source Title
Scientific Reports
ISSN
20452322
Year
2025
Issue
1
Open Access
All Open Access; Gold Open Access; Green Open Access
Publisher
Nature Research
DOI
10.1038/s41598-025-12574-7
Abstract
Immunoglobulin E (IgE) plays a key role in allergic reactions and parasitic infections. Accurate detection of IgE is essential for the diagnosis and management of allergic diseases. Traditional detection methods, such as enzyme-linked immunosorbent assay (ELISA) and radioallergosorbent tests (RASTs), depend on complex antibody production processes. This study aimed to discover novel peptides that specifically bind to human IgE using phage display technology. A 12-mer phage-displayed peptide library was screened against native human IgE, resulting in the identification of sixteen high-specificity phage clones from an initial pool of 208 candidates. Six of these clones were selected for peptide synthesis and further evaluation using multiplex assays. All synthetic peptides demonstrated specific binding to human IgE, with no cross-reactivity observed against other human immunoglobulin isotypes (IgA, IgG, and IgM) or antibodies from other species (goat, mouse, and rat). Sensitivity analysis revealed that four peptides exhibited low detection limits, highlighting their potential for use in IgE quantification. This study is the first report synthetic peptides that specifically target human IgE. These peptides offer significant advantages over traditional antibody-based methods, including improved stability, simplicity, and cost-effectiveness. They represent promising candidates for developing new diagnostic tools for IgE detection. However, additional optimization and clinical validation are required to confirm their practical in diagnostic settings. © The Author(s) 2025.
Keyword
Coastal landscape | Coastal management | Coastal structure | Land cover change | LiDAR
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
CC BY-NC-ND
Rights
Authors
Publication Source
Scopus
Publication Source
Scopus