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Allergen Microarray Indicates Pooideae Sensitization in Brazilian Grass Pollen Allergic Patients
Authors:Priscila Ferreira de Sousa Moreira  Katharina Gangl  Francisco de Assis Machado Vieira  Leandro Hideki Ynoue  Birgit Linhart  Sabine Flicker  Helmut Fiebig  Ines Swoboda  Margarete Focke-Tejkl  Ernesto Akio Taketomi  Rudolf Valenta  Verena Niederberger
Abstract:

Background

Grass pollen, in particular from Lolium multiflorum is a major allergen source in temperate climate zones of Southern Brazil. The IgE sensitization profile of Brazilian grass pollen allergic patients to individual allergen molecules has not been analyzed yet.

Objective

To analyze the IgE sensitization profile of a Brazilian grass pollen allergic population using individual allergen molecules.

Methods

We analyzed sera from 78 grass pollen allergic patients for the presence of IgE antibodies specific for 103 purified micro-arrayed natural and recombinant allergens by chip technology. IgE-ELISA inhibition experiments with Lolium multiflorum, Phleum pratense extracts and a recombinant fusion protein consisting of Phl p 1, Phl p 2, Phl p 5 and Phl p 6 were performed to investigate cross-reactivities.

Results

Within the Brazilian grass pollen allergic patients, the most frequently recognized allergens were Phl p 1 (95%), Phl p 5 (82%), Phl p 2 (76%) followed by Phl p 4 (64%), Phl p 6 (45%), Phl p 11 (18%) and Phl p 12 (18%). Most patients were sensitized only to grass pollen allergens but not to allergens from other sources. A high degree of IgE cross-reactivity between Phleum pratense, Lolium multiflorum and the recombinant timothy grass fusion protein was found.

Conclusions

Component-resolved analysis of sera from Brazilian grass pollen allergic patients reveals an IgE recognition profile compatible with a typical Pooideae sensitization. The high degree of cross-reactivity between Phleum pratense and Lolium multiflorum allergens suggests that diagnosis and immunotherapy can be achieved with timothy grass pollen allergens in the studied population.
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