Imperial College London
Alternate

ProfessorFanChung

Faculty of Medicine, National Heart & Lung Institute

Professor of Respiratory Medicine
 
 
 
//

Contact

 

+44 (0)20 7594 7954f.chung Website

 
 
//

Assistant

 

Miss Carolyn Green +44 (0)20 7594 7959

 
//

Location

 

227BGuy Scadding BuildingRoyal Brompton Campus

//

Summary

 

Publications

Citation

BibTex format

@inbook{Kermani:2023:10.1007/978-3-031-32259-4_10,
author = {Kermani, NZ and Adcock, IM and Djukanovi, R and Chung, F and Schofield, JPR},
booktitle = {Precision Approaches to Heterogeneity in Asthma},
doi = {10.1007/978-3-031-32259-4_10},
editor = {Braiser and Jarjour},
pages = {215--235},
title = {Systems biology in asthma.},
url = {http://dx.doi.org/10.1007/978-3-031-32259-4_10},
year = {2023}
}
Download

RIS format (EndNote, RefMan)

TY  - CHAP
AB  - The application of mathematical and computational analysis, together with the modelling of biological and physiological processes, is transforming our understanding of the pathophysiology of complex diseases. This systems biology approach incorporates large amounts of genomic, transcriptomic, proteomic, metabolomic, breathomic, metagenomic and imaging data from disease sites together with deep clinical phenotyping, including patient-reported outcomes. Integration of these datasets will provide a greater understanding of the molecular pathways associated with severe asthma in each individual patient and determine their personalised treatment regime. This chapter describes some of the data integration methods used to combine data sets and gives examples of the results obtained using single datasets and merging of multiple datasets (data fusion and data combination) from several consortia including the severe asthma research programme (SARP) and the Unbiased Biomarkers Predictive of Respiratory Disease Outcomes (U-BIOPRED) consortia. These results highlight the involvement of several different immune and inflammatory pathways and factors in distinct subsets of patients with severe asthma. These pathways often overlap in patients with distinct clinical features of asthma, which may explain the incomplete or no response in patients undergoing specific targeted therapy. Collaboration between groups will improve the predictions obtained using a systems medicine approach in severe asthma.
AU  - Kermani,NZ
AU  - Adcock,IM
AU  - Djukanovi,R
AU  - Chung,F
AU  - Schofield,JPR
DO  - 10.1007/978-3-031-32259-4_10
EP  - 235
PY  - 2023///
SP  - 215
TI  - Systems biology in asthma.
T1  - Precision Approaches to Heterogeneity in Asthma
UR  - http://dx.doi.org/10.1007/978-3-031-32259-4_10
UR  - https://www.ncbi.nlm.nih.gov/pubmed/37464123
UR  - https://link.springer.com/chapter/10.1007/978-3-031-32259-4_10
UR  - http://hdl.handle.net/10044/1/105680
ER  -
Download