BibTex format
@article{Idrees:2026:10.1183/16000617.0286-2024,
author = {Idrees, S and Chen, H and Sadaf, T and Rehman, SF and Johansen, MD and Paudel, KR and Liu, G and Wang, Y and Luecken, MD and Hortle, E and Philp, AS and Budden, KF and O'Rourke, M and Kaiko, GE and Lucas, SEM and Dickinson, JL and Allen, PC and Powell, JE and Zhang, L-Y and Chambers, DC and Corte, T and Caramori, G and Sauler, M and Wark, PA and Gote-Schniering, J and Lehmann, M and Conlon, TM and Kapellos, TS and Yildirim, AÖ and Faner, R and Dharmage, SC and Wheelock, CE and van, den Berge M and Nawijn, MC and Polverino, F and Belz, GT and Chotirmall, SH and Segal, LN and Faiz, A and Hansbro, PM},
doi = {10.1183/16000617.0286-2024},
journal = {Eur Respir Rev},
title = {Multi-omics to study chronic respiratory diseases and viral infections.},
url = {http://dx.doi.org/10.1183/16000617.0286-2024},
volume = {35},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Despite recent advances, the underlying mechanisms of the development and progression of many chronic respiratory diseases remain to be elucidated. Factors such as heterogeneity and complexity of human diseases and difficulty interpreting large datasets hinder research into chronic respiratory diseases. Omics assesses the changes in specific biological entities, such as mRNA expression, epigenetics/epigenomics, genomics, proteomics, metagenomics and metabolomics, and provides valuable insights into the roles of these processes in chronic respiratory diseases. High-throughput omics at bulk, single-cell and spatial levels empower the exploration of disease-related changes through untargeted data-driven statistical methods. Multi-omics is the exploration and integration of multiple biological processes, which compared to a single-omics, can provide a substantially greater and more holistic overview of the pathogenic mechanisms that underpin complex diseases. Multi-omics analysis can comprehensively characterise the mechanisms that drive chronic respiratory diseases, capturing unique biological signatures and cellular interactions at different omics levels. Use of these methods has begun to identify key factors and biomarkers in chronic respiratory diseases. Here, we review current omics approaches and highlight recent advances in respiratory research achieved using multi-omics and integrative methods. Our review provides a valuable resource for researchers and clinicians in this area.
AU - Idrees,S
AU - Chen,H
AU - Sadaf,T
AU - Rehman,SF
AU - Johansen,MD
AU - Paudel,KR
AU - Liu,G
AU - Wang,Y
AU - Luecken,MD
AU - Hortle,E
AU - Philp,AS
AU - Budden,KF
AU - O'Rourke,M
AU - Kaiko,GE
AU - Lucas,SEM
AU - Dickinson,JL
AU - Allen,PC
AU - Powell,JE
AU - Zhang,L-Y
AU - Chambers,DC
AU - Corte,T
AU - Caramori,G
AU - Sauler,M
AU - Wark,PA
AU - Gote-Schniering,J
AU - Lehmann,M
AU - Conlon,TM
AU - Kapellos,TS
AU - Yildirim,AÖ
AU - Faner,R
AU - Dharmage,SC
AU - Wheelock,CE
AU - van,den Berge M
AU - Nawijn,MC
AU - Polverino,F
AU - Belz,GT
AU - Chotirmall,SH
AU - Segal,LN
AU - Faiz,A
AU - Hansbro,PM
DO - 10.1183/16000617.0286-2024
PY - 2026///
TI - Multi-omics to study chronic respiratory diseases and viral infections.
T2 - Eur Respir Rev
UR - http://dx.doi.org/10.1183/16000617.0286-2024
UR - https://www.ncbi.nlm.nih.gov/pubmed/41534886
VL - 35
ER -