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. 2024 Sep 5;64(3):2400428.
doi: 10.1183/13993003.00428-2024. Print 2024 Sep.

Host-microbial interactions differ with age of asthma onset

Ali Versi  1 , Adnan Azim  2 , Fransiskus Xaverius Ivan  3 , Mahmoud I Abdel-Aziz  4 , Stewart Bates  5 , John Riley  5 , Anke H Maitland-Van Der Zee  4 , Sven-Erik Dahlen  6 , Ratko Djukanovic  2 , Sanjay H Chotirmall  3   7 , Peter Howarth  2 , Nazanin Zounemat Kermani  1 , Kian Fan Chung  1 , Ian M Adcock  8 ; U-BIOPRED study group
Affiliations

Host-microbial interactions differ with age of asthma onset

Ali Versi et al. Eur Respir J. .

Abstract

The host immune response to pathogens differs between early- and late-onset asthma https://bit.ly/3xSa4Fe

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Conflict of interest statement

Conflict of interest: A. Azim is a paid employee of AstraZeneca, and holds stock or stock options in AstraZeneca. S. Bates is an employee of and holds stock in Johnson & Johnson. S. Bates previously worked for and holds stock in GSK. J. Riley previously worked for and held stock in GSK. A.H. Maitland-Van Der Zee reports grants from Health Holland, GSK, Boehringer Ingelheim and Vertex, consultancy fees from Boehringer Ingelheim and AstraZeneca, payment or honoraria for lectures, presentations, manuscript writing or educational events from GSK, and participation on a data safety monitoring board or advisory board for a study on BPD in neonates. S-E. Dahlen reports support for the present study from EU funding through IMI, grants from AstraZeneca, Cayman Chemical, GSK and Sanofi, consultancy fees from AstraZeneca, GSK and Sanofi, payment or honoraria for lectures, presentations, manuscript writing or educational events from AstraZeneca and Sanofi, and a leadership role with 3TR IMI as a Steering Board member. R. Djukanovic reports consultancy fees from Synairgen plc, GSK, ZenasBio and Celltrion, a leadership role with the European Respiratory Society's Clinical collaboration on severe asthma (SHARP) as Chair, and stock (or stock options) with Synairgen. S.H. Chotirmall reports support for the present manuscript from the Singapore Ministry of Health's National Medical Research Council under its Clinician-Scientist Individual Research Grant (MOH-001356), the Singapore Ministry of Health's National Medical Research Council under its Clinician Scientist Award (MOH-000710), consultancy fees from CSL Behring, Boehringer Ingelheim and Pneumagen Ltd, payment or honoraria for lectures, presentations, manuscript writing or educational events from AstraZeneca and Chiesi Farmaceutici, and participation on a data safety monitoring board or advisory board with Inovio Pharmaceuticals Inc., Imam Abdulrahman Bin Faisal University. P. Howarth is an employee of GSK. N.Z. Kermani reports support for the present study from Data Science Institute, Imperial College London, National Heart and Lung Institute, Imperial College London. K.F. Chung reports grants from MRC, EPSRC, GSK, Merck and NIEHS, payment or honoraria for lectures, presentations, manuscript writing or educational events from GSK, Novartis and AZ, participation on a data safety monitoring board or advisory board with GSK, AZ, Novartis, Roche, Merck, Trevi, Rickett-Beckinson, Nocion and Shionogi Clean Breathing Institute supported by Haleon. I.M. Adcock reports support for the present study from EU funding through IMI, grants from GSK, MRC, EPSRC and Sanofi, consultancy fees from GSK, Sanofi and Kinaset, and payment or honoraria for lectures, presentations, manuscript writing or educational events from AstraZeneca and Sanofi. The remaining authors have no potential conflicts of interest to disclose.

Figures

FIGURE 1
FIGURE 1
a) Flowchart showing the overall method of sample collection, cohort grouping and the application of sparse canonical correlation analysis (Sparse-CCA). b) Component genes pathway analysis showing the enrichment of pathways for each component. c) Visualisation of leukocyte transendothelial migration for both adult and child onset showing the top 10 genes and species by absolute weights. d) Gene set variation analysis (GSVA) sample-wise enrichment score (ES) correlation with clinical characteristics showing the correlation of the ES of each gene set from the components in the leukocyte transendothelial migration pathway with sputum neutrophils and eosinophils. KEGG: Kyoto Encyclopaedia of Genes and Genomes; PID: pathway interaction database; TNF: tumour necrosis factor. Significance of Spearman coefficient correlation: not significant (p>0.05) indicated by clear box; **: p≤0.01; ***: p≤0.001.
See this image and copyright information in PMC

References

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