RT Journal Article
SR Electronic
T1 The first U-BIOPRED blood handprint of severe asthma
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP PA4889
DO 10.1183/13993003.congress-2015.PA4889
VO 46
IS suppl 59
A1 Bertrand De Meulder
A1 Diane Lefaudeux
A1 Jeanette Bigler
A1 Matthew J. Loza
A1 Craig E. Wheelock
A1 Ana R. Sousa
A1 Julie Corfield
A1 Frédéric Baribaud
A1 Charles Auffray
A1 Dominic E. Shaw
A1 Ildiko Horvath
A1 Jacek Musial
A1 Pascal Chanez
A1 Norbert Krug
A1 Paolo Montuschi
A1 Per S. Bakke
A1 Florian Singer
A1 Stephen J. Fowler
A1 Sven-Erik Dahlen
A1 Thomas Sandström
A1 Peter J. Sterk
A1 Kian Fan Chung
A1 Ian M. Adcock
A1 Ratko Djukanovic
A1 The U-BIOPRED Working Group
YR 2015
UL http://erj.ersjournals.com/content/46/suppl_59/PA4889.abstract
AB Background: Severe asthma is a heterogeneous disease, with a real unmet need in clinical and biological phenotyping. By combining clinical and various omics technologies, a phenotypic handprint of this disease can be produced.Objective: To integrate blood transcriptomics, serum proteomics and urine lipidomics data from 300 adult U-BIOPRED asthma patients in order to define a blood handprint.Methods: The omics datasets were fused using the Similarity Network Fusion method (Wang et al, Nature methods, 2014). Stable clusters were defined using spectral clustering and characterised using available clinical data.Results: Five stable clusters were defined. Cluster 1 (C1) was the most severe with the lowest FEV1% predicted, low FEV1/FVC and the highest proportion of patients on OCS. C2 was the mildest while C3, 4 and 5 had similar clinical characteristics. The clusters seemed mainly differentiated by the white blood cells percentages (WBC). Variables/Clusters (N)C1 (53)C2 (73)C3 (55)C4 (60)C5 (59)P-valueFEV1 % predicted66 ± 2392 ± 2072 ± 2471 ± 2472 ± 209.3E-10FEV1/FVC0.63 ± 0.150.74 ± 0.120.67 ± 0.130.62 ± 0.140.64 ± 0.142.4E-6Exacerbations past year, Median (IQR)2 (1-4)1 (0-2)1 (0-3)2 (1-3)2 (0-3)3.9E-2WBCS x10^3/μl9.5 ± 2.45.9 ± 1.36.4 ± 1.88.2 ± 2.57.7 ± 2.21.7E-20Blood neutrophils %69 ± 1257 ± 858 ± 961 ± 1264 ± 103.7E-10OCS (Yes/No/NA)30/19/43/31/338/38/918/38/422/33/46.6E-5Conclusion: Various omics datasets of blood-related samples were successfully combined, defining five stable clusters of asthma patients mainly differentiated by the percentages of WBC. These results may help refining phenotypes of severe asthma.IMI grant n°115010 (U-BIOPRED).