TY - JOUR T1 - Unbiased clustering of children with asthma or pre-school wheeze using the U-BIOPRED electronic nose platform JF - European Respiratory Journal JO - Eur Respir J VL - 44 IS - Suppl 58 SP - 431 AU - P. Brinkman AU - S. Hashimoto AU - L.J. Fleming AU - G. Hedlin AU - H. Knobel AU - T.J. Vink AU - N. Rattray AU - M. Santonico AU - G. Pennazza AU - A. D'Amico AU - P. Montuschi AU - S. Fowler AU - J. Corfield AU - A. Rowe AU - P.F Singer AU - U. Frey AU - H. Bisgaard AU - A. Bush AU - S.S. Wagers AU - K.F. Chung AU - D.E. Shaw AU - I. Pandis AU - C. Compton AU - W. Siebold AU - A.T. Bansal AU - G. Roberts AU - W.M. van Aalderen AU - P.J. Sterk AU - U-BIOPRED study group Y1 - 2014/09/01 UR - http://erj.ersjournals.com/content/44/Suppl_58/431.abstract N2 - Rationale: Children with asthma or pre-school wheeze represent a heterogeneous group, characterized by a variety of underlying pathophysiological molecular mechanisms. Recent 'omics' technologies provide composite molecular samples in inflammatory airway diseases [Wheelock ERJ 2013]. This includes breathomics, non-invasive metabolomics in exhaled air.Aim: To reveal phenotypes by unbiased cluster analysis based on metabolomic fingerprints from exhaled breath by electronic nose (eNose) in children with asthma or pre-school wheeze.Methods: This was a cross-sectional analysis from a subset of the paediatric U-BIOPRED cohort. Exhaled volatile organic compounds trapped on adsorption tubes were analyzed by an centralized eNose platform [Brinkman ERS 2012 A4307]. Ward clustering based on Similarity Profile Analysis [Clarke JEMBE 2008] was performed on eNose platform data, followed by ANOVA and chi-square tests.Results: 106 children were included (age (IQR)7.6 (4.0-13.0)yrs, 62% male, skin prick test (SPT) positive 54%). Five clusters were delineated that differed significantly regarding age, asthma control, asthma related quality of life, SPT.View this table:Conclusion: In this preliminary analysis, unbiased fingerprinting by eNose provides clinical clusters of children with asthma or pre-school wheeze. This suggests that metabolomics in exhaled air is suitable for phenotyping of airways disease in childhood. ER -