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Weighted Gene Co-expression Network Analysis of blood paediatric samples from the U-BIOPRED study identifies oxidative stress association with asthma severity

Authors :
John H. Riley
Charles Auffray
Simone Hashimoto
Bertrand De Meulder
Yike Guo
Kai Sun
Ratko Djukanovic
Graham Roberts
Frédéric Baribaud
Adam Taylor
Karen Affleck
Fan Chung
I. Pandis
Louise Fleming
Matthew J. Loza
Peter J. Sterk
Julie Corfield
Stelios Pavlidis
Ian M. Adcock
Anthony Rowe
Richard G. Knowles
James P.R. Schofield
Ana R. Sousa
Source :
Paediatric asthma and allergy.
Publication Year :
2018
Publisher :
European Respiratory Society, 2018.

Abstract

Background: Many children with asthma exhibit uncontrolled symptoms despite inhaled corticosteroid therapy. The molecular pathways linked to this phenotype are unknown. Aim: To investigate gene expression in paediatric severe and moderate/mild asthma blood samples. Methods: Gene expression analysis was applied on severe and mild asthma samples from pre- and school-age children (SApre,N=62; MApre,N=42; SAsc,N=75 and MAsc,N=37). Gene network analysis (WGCNA) was applied separately on the pre- and school-age data. Obtained gene modules were compared with the Jaccard Index. Results: No genes weresignificantly differentially-expressed in SA versus MA asthma in the two age groups (FDR Conclusion: WGCNA implicates mitochondrial oxidative stress in early onset severe asthma that needs further investigation.

Details

Database :
OpenAIRE
Journal :
Paediatric asthma and allergy
Accession number :
edsair.doi...........36b7784bc5f631e20ca4be539406801c