Allergy diagnosis and prediction by common allergenic structures

Fonte Standard Gras
Identifiant

Unité de recherche

INNOSUISSE

Numéro de projet

8803.1;5 LSPP-LS

Titre du projet

Allergy diagnosis and prediction by common allergenic structures

Titre du projet anglais

Allergy diagnosis and prediction by common allergenic structures

Textes relatifs à ce projet

	Allemand	Français	Italien	Anglais
Description succincte	-	-	-
Résumé des résultats (Abstract)	-	-	-

Textes saisis

Catégorie	Texte
Description succincte (Anglais)	Allergy diagnosis and prediction by common allergenic structures
Résumé des résultats (Abstract) (Anglais)	Today, in vitro allergy diagnosis is based on allergen extracts. We have shown that more than 90% of all known allergens can be associated with less than 80 structural motifs. Thus, it is intended to develop a new diagnostic tool based on these allergenic structures rather than a great and ever increasing number of individual proteins (allergens) or extracts from organisms with allergenic properties. Such a new tool will consist of an array system (either recombinant proteins or allergenic motifs) and a software predicting potentially cross reacting allergens. This may lead to a change in paradigm as general practitioners may be in the position to perform a better allergy diagnosis and patients will receive more information on their allergic state.

Catégorie

Texte

Description succincte
(Anglais)

Allergy diagnosis and prediction by common allergenic structures

Résumé des résultats (Abstract)
(Anglais)

Today, in vitro allergy diagnosis is based on allergen extracts. We have shown that more than 90% of all known allergens can be associated with less than 80 structural motifs. Thus, it is intended to develop a new diagnostic tool based on these allergenic structures rather than a great and ever increasing number of individual proteins (allergens) or extracts from organisms with allergenic properties. Such a new tool will consist of an array system (either recombinant proteins or allergenic motifs) and a software predicting potentially cross reacting allergens. This may lead to a change in paradigm as general practitioners may be in the position to perform a better allergy diagnosis and patients will receive more information on their allergic state.