BACKGROUND: Eicosanoids, important signaling and inflammatory molecules, are present in exhaled breath condensate (EBC) in very low concentrations, requiring highly sensitive analytic methods for their quantification. OBJECTIVE: We sought to assess a vast platform of eicosanoids in different asthma phenotypes, including aspirin-intolerant asthma, by means of a recently developed analytic approach based on mass spectrometry. METHODS: EBC from 115 adult asthmatic subjects (62 with aspirin intolerance) and 38 healthy control subjects were assessed quantitatively for 19 eicosanoids by using complementary HPLC, gas chromatography-mass spectrometry, or both. Palmitic acid concentrations were used as a marker for dilution of condensate samples. RESULTS: Asthma was characterized by an increase in arachidonate lipoxygenase products and cysteinyl leukotrienes. The COX pathway was also significantly upregulated in asthmatic subjects. Subjects with aspirin-intolerant asthma were distinguished by a sharp increase in the level of prostaglandin D(2) and E(2) metabolites; their 5- and 15-hydroxyeicosateraenoic acid levels were also higher than in aspirin-tolerant subjects. A classical discriminant analysis permitted us to classify correctly 99% of asthmatic subjects within the study population; the specificity of the analysis was 97%. The eicosanoid profiling allowed for 92% correct classification of aspirin-intolerant subjects. CONCLUSIONS: The highly sensitive eicosanoid profiling in EBC makes it possible to detect alterations in asthma, especially in its distinct phenotype characterized by hypersensitivity to aspirin and other nonsteroidal anti-inflammatory drugs. This permits us to discriminate asthmatic subjects from healthy subjects, as well as to distinguish the 2 asthma phenotypes based on the presence or absence of aspirin hypersensitivity.
BACKGROUND:Eicosanoids, important signaling and inflammatory molecules, are present in exhaled breath condensate (EBC) in very low concentrations, requiring highly sensitive analytic methods for their quantification. OBJECTIVE: We sought to assess a vast platform of eicosanoids in different asthma phenotypes, including aspirin-intolerant asthma, by means of a recently developed analytic approach based on mass spectrometry. METHODS:EBC from 115 adult asthmatic subjects (62 with aspirin intolerance) and 38 healthy control subjects were assessed quantitatively for 19 eicosanoids by using complementary HPLC, gas chromatography-mass spectrometry, or both. Palmitic acid concentrations were used as a marker for dilution of condensate samples. RESULTS:Asthma was characterized by an increase in arachidonate lipoxygenase products and cysteinyl leukotrienes. The COX pathway was also significantly upregulated in asthmatic subjects. Subjects with aspirin-intolerant asthma were distinguished by a sharp increase in the level of prostaglandin D(2) and E(2) metabolites; their 5- and 15-hydroxyeicosateraenoic acid levels were also higher than in aspirin-tolerant subjects. A classical discriminant analysis permitted us to classify correctly 99% of asthmatic subjects within the study population; the specificity of the analysis was 97%. The eicosanoid profiling allowed for 92% correct classification of aspirin-intolerant subjects. CONCLUSIONS: The highly sensitive eicosanoid profiling in EBC makes it possible to detect alterations in asthma, especially in its distinct phenotype characterized by hypersensitivity to aspirin and other nonsteroidal anti-inflammatory drugs. This permits us to discriminate asthmatic subjects from healthy subjects, as well as to distinguish the 2 asthma phenotypes based on the presence or absence of aspirinhypersensitivity.
Authors: Qun Wu; Di Jiang; Sean Smith; Jyoti Thaikoottathil; Richard J Martin; Russell P Bowler; Hong Wei Chu Journal: J Allergy Clin Immunol Date: 2011-12-09 Impact factor: 10.793
Authors: José Antonio Cornejo-García; Carlos Flores; María C Plaza-Serón; Marialbert Acosta-Herrera; Natalia Blanca-López; Inmaculada Doña; María J Torres; Cristobalina Mayorga; Rosa M Guéant-Rodríguez; Pedro Ayuso; Javier Fernández; José J Laguna; José A G Agúndez; Elena García-Martín; Jean-Louis Guéant; Gabriela Canto; Miguel Blanca Journal: PLoS One Date: 2014-03-11 Impact factor: 3.240
Authors: Wojciech Szczeklik; Marek Sanak; Barbara Sokołowska; Bogdan Jakieła; Jan Sznajd; Anna Gielicz; Marek Kaszuba; Agata Sawina; Jacek Musiał Journal: Clin Rheumatol Date: 2013-06-02 Impact factor: 2.980