<b>Exploring the repertoire of cross-reactive allergens among </b><b><i>Aspergillus fumigatus </i></b><b>and </b><b><i>D. pteronyssinus </i></b><b>mites: an in-silico approach </b>
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Keywords

Allergy
Cross-reactivity
Mites
Bioinformatic
IgE antibodies

How to Cite

Exploring the repertoire of cross-reactive allergens among Aspergillus fumigatus and D. pteronyssinus mites: an in-silico approach . (2025). Revista Alergia México, 72(4), 281-289. https://doi.org/10.29262/ram.v72i4.1414

Abstract

Objective: To examinate the potential cross reactivity among A. fumigatus and mites, both important allergenic source in tropical regions, using mainly a bioinformatic approach.

Methods: Amino acid sequences from allergens from Aspergillus fumigatus reported in the allergome database were retrieved and used as input to perform PSI-BLAST against Dermatophagoides pteronyssinus´s proteome. Results with similitudes and query cover values above 25% and 80%, respectively, were selected to further analysis. B cell epitope prediction was done by using the Ellipro tool. Just epitopes conserved between both allergenic sources were informed and displayed on 3D model surfaces obtained by modeling based on homology.

Results: Twelve allergens from Aspergillus fumigatus shared homology with proteins reported in D. pteronyssinus. All 3D models obtained showed typical folding to the protein family they belonged. Ribosomal protein L3, Molecular chaperone Mod-E/Hsp90, Acidic ribosomal protein P2, Enolase, and peptidyl-propyl cis-trans isomerase were allergens with the highest identity score (>60%). At least four B linear epitopes were predicted to be shared between allergens and homologous in D. pteronyssinus.

Conclusion: Results indicated that cross-reactivity between Aspergillus fumigatus and D. pteronyssinus is feasible. At least twelve allergens could be involved, and this could explain how molds increase sensitization to mites. In vitro analyses are needed to confirm these results.

Keywords: Allergy; Cross-reactivity; IgE antibodies; Mites; Molds; Bioinformatic.

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References

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