{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T21:03:23Z","timestamp":1780002203458,"version":"3.53.1"},"reference-count":106,"publisher":"Elsevier","isbn-type":[{"value":"9780443413490","type":"print"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001409","name":"Department of Science and Technology, Ministry of Science and Technology, India","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001409","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100023839","name":"Department of Biological Sciences, Western Michigan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100023839","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015655","name":"Bose Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015655","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1016\/bs.pmbts.2026.01.025","type":"book-chapter","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T17:53:46Z","timestamp":1772474026000},"page":"165-206","source":"Crossref","is-referenced-by-count":0,"title":["AI in multi-omics analysis in obstructive lung diseases"],"prefix":"10.1016","author":[{"given":"Paramita","family":"Roy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sudipto","family":"Saha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/bs.pmbts.2026.01.025_bib1","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2023.101936","article-title":"Global burden of chronic respiratory diseases and risk factors, 1990\u20132019: an update from the Global Burden of Disease Study 2019","volume":"59","author":"Momtazmanesh","year":"2023","journal-title":"eClinicalMedicine"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib2","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1186\/s40001-025-02517-3","article-title":"The impact of environmental factors on respiratory tract microbiome and respiratory system diseases","volume":"30","author":"Ge","year":"2025","journal-title":"Eur J Med Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib3","doi-asserted-by":"crossref","first-page":"7","DOI":"10.18773\/austprescr.2020.002","article-title":"Managing the overlap of asthma and chronic obstructive pulmonary disease","volume":"43","author":"Knight","year":"2020","journal-title":"Aust Prescr"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib4","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1186\/s12931-017-0631-9","article-title":"Using omics approaches to understand pulmonary diseases","volume":"18","author":"Kan","year":"2017","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib5","article-title":"Multi-omics data integration, interpretation, and its application","volume":"14","author":"Subramanian","year":"2020","journal-title":"Bioinforma Biol Insights"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib6","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s44330-024-00004-5","article-title":"Artificial intelligence for omics data analysis","volume":"1","author":"Ahmed","year":"2024","journal-title":"BMC Methods"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib7","first-page":"L338","article-title":"World lung day: impact of \u201cthe big 5 lung diseases\u201d in the context of COVID-19","volume":"323","author":"Cohen","year":"2022","journal-title":"Am J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib8","doi-asserted-by":"crossref","DOI":"10.3389\/fmed.2014.00011","article-title":"A grand challenge of factors influencing lung health","volume":"1","author":"Nicod","year":"2014","journal-title":"Front Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib9","doi-asserted-by":"crossref","first-page":"1990","DOI":"10.1016\/j.cell.2021.03.005","article-title":"The aging lung: physiology, disease, and immunity","volume":"184","author":"Schneider","year":"2021","journal-title":"Cell"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib10","series-title":"Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases","first-page":"1","article-title":"Introduction to pulmonary diseases and OMICS approaches","author":"Saha","year":"2023"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib11","doi-asserted-by":"crossref","first-page":"637","DOI":"10.2214\/ajr.169.3.9275869","article-title":"Radiology of obstructive pulmonary disease","volume":"169","author":"Webb","year":"1997","journal-title":"Am J Roentgenol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib12","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.4065\/76.11.1144","article-title":"Obstructive lung diseases: COPD, asthma, and many imitators","volume":"76","author":"Ryu","year":"2001","journal-title":"Mayo Clin Proc"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib13","doi-asserted-by":"crossref","first-page":"441","DOI":"10.46747\/cfp.6806441","article-title":"Diagnosing asthma and chronic obstructive pulmonary disease: importance of pulmonary function testing","volume":"68","author":"Gupta","year":"2022","journal-title":"Can Fam Physician"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib14","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.ccm.2012.05.003","article-title":"How to diagnose and phenotype asthma","volume":"33","author":"Nair","year":"2012","journal-title":"Clin Chest Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib15","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1186\/s13223-017-0219-4","article-title":"Asthma biomarkers in the age of biologics","volume":"13","author":"Kim","year":"2017","journal-title":"Allergy Asthma Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib16","doi-asserted-by":"crossref","DOI":"10.1183\/13993003.01031-2022","article-title":"Moving the dial on identifying endotypes of asthma from early life","volume":"60","author":"Perrem","year":"2022","journal-title":"Eur Respir J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib17","doi-asserted-by":"crossref","first-page":"00309","DOI":"10.1183\/23120541.00309-2020","article-title":"Identification and treatment of T2-low asthma in the era of biologics","volume":"7","author":"Kyriakopoulos","year":"2021","journal-title":"ERJ Open Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib18","doi-asserted-by":"crossref","first-page":"2588","DOI":"10.1016\/j.jaip.2021.04.033","article-title":"Management strategies to reduce exacerbations in non-T2 asthma","volume":"9","author":"Murphy","year":"2021","journal-title":"J Allergy Clin Immunol Pract"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib19","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.3390\/biomedicines9111684","article-title":"Characterization of T2-Low and T2-high asthma phenotypes in real-life","volume":"9","author":"Ricciardolo","year":"2021","journal-title":"Biomedicines"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib20","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1159\/000533315","article-title":"Airway microbiome composition and co-occurrence network are associated with inflammatory phenotypes of asthma","volume":"184","author":"Li","year":"2023","journal-title":"Int Arch Allergy Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib21","doi-asserted-by":"crossref","DOI":"10.3389\/fmicb.2021.833726","article-title":"Nasal microbiome change during and after exacerbation in asthmatic children","volume":"12","author":"Liu","year":"2022","journal-title":"Front Microbiol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib22","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1038\/nm.4176","article-title":"Neonatal gut microbiota associates with childhood multisensitized atopy and T cell differentiation","volume":"22","author":"Fujimura","year":"2016","journal-title":"Nat Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib23","doi-asserted-by":"crossref","DOI":"10.3389\/fmed.2020.618506","article-title":"The potential roles of exosomes in chronic obstructive pulmonary disease","volume":"7","author":"Wang","year":"2021","journal-title":"Front Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib24","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.2147\/COPD.S250720","article-title":"Fixed ratio versus lower limit of normality for diagnosing COPD in primary care: long-term follow-Up of EGARPOC study","volume":"15","author":"Llord\u00e9s","year":"2020","journal-title":"Int J Chron Obstruct Pulmon Dis"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib25","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1007\/s10654-016-0132-z","article-title":"Prevalence and incidence of COPD in smokers and non-smokers: the rotterdam study","volume":"31","author":"Terzikhan","year":"2016","journal-title":"Eur J Epidemiol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib26","doi-asserted-by":"crossref","first-page":"S1761","DOI":"10.21037\/jtd.2019.05.10","article-title":"Chronic obstructive pulmonary disease classification, phenotypes and risk assessment","volume":"11","author":"Manian","year":"2019","journal-title":"J Thorac Dis"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib27","series-title":"Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases","first-page":"31","article-title":"Chronic obstructive pulmonary disease (COPD)","author":"Saha","year":"2023"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib28","article-title":"Microbiome-host interactions in the pathogenesis of acute exacerbation of chronic obstructive pulmonary disease","volume":"14","author":"Li","year":"2024","journal-title":"Front Cell Infect Microbiol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib29","article-title":"Gut virome alterations in patients with chronic obstructive pulmonary disease","volume":"12","author":"Liu","year":"2024","journal-title":"Microbiol Spectr"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib30","doi-asserted-by":"crossref","first-page":"00015","DOI":"10.1183\/23120541.00015-2018","article-title":"Microbial and host immune factors as drivers of COPD","volume":"4","author":"Mika","year":"2018","journal-title":"ERJ Open Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib31","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0194355","article-title":"Exacerbation induces a microbiota shift in sputa of COPD patients","volume":"13","author":"Jubinville","year":"2018","journal-title":"PLOS ONE"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib32","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1183\/13993003.01888-2015","article-title":"Research priorities in bronchiectasis: a consensus statement from the EMBARC clinical research collaboration","volume":"48","author":"Aliberti","year":"2016","journal-title":"Eur Respir J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib33","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.ccm.2021.11.001","article-title":"Diagnosis and evaluation of bronchiectasis","volume":"43","author":"Cohen","year":"2022","journal-title":"Clin Chest Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib34","doi-asserted-by":"crossref","DOI":"10.1183\/13993003.00629-2017","article-title":"European respiratory society guidelines for the management of adult bronchiectasis","volume":"50","author":"Polverino","year":"2017","journal-title":"Eur Respir J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib35","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1186\/s12931-024-02835-w","article-title":"Comparative microbiome analysis in cystic fibrosis and non-cystic fibrosis bronchiectasis","volume":"25","author":"Motta","year":"2024","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib36","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1038\/s41572-018-0042-3","article-title":"Bronchiectasis","volume":"4","author":"Chalmers","year":"2018","journal-title":"Nat Rev Dis Primer"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib37","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1055\/s-0041-1730921","article-title":"Pseudomonas aeruginosa in bronchiectasis","volume":"42","author":"Fern\u00e1ndez-Barat","year":"2021","journal-title":"Semin Respir Crit Care Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib38","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1164\/rccm.201802-0211ED","article-title":"Bronchiectasis: phenotyping an orphan disease","volume":"197","author":"Tino","year":"2018","journal-title":"Am J Respir Crit Care Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib39","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s40246-025-00718-9","article-title":"Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues","volume":"19","author":"Alemu","year":"2025","journal-title":"Hum Genomics"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib40","doi-asserted-by":"crossref","first-page":"34","DOI":"10.3390\/proteomes11040034","article-title":"Multi-omics integration for the design of novel therapies and the identification of novel biomarkers","volume":"11","author":"Ivanisevic","year":"2023","journal-title":"Proteomes"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib41","doi-asserted-by":"crossref","DOI":"10.1002\/mco2.315","article-title":"Applications of multi\u2010omics analysis in human diseases","volume":"4","author":"Chen","year":"2023","journal-title":"MedComm"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib42","doi-asserted-by":"crossref","first-page":"6229","DOI":"10.2147\/IJGM.S498965","article-title":"Early recognition of secondary asthma caused by lower respiratory tract infection in children based on multi-omics signature: a retrospective cohort study","volume":"17","author":"Rao","year":"2024","journal-title":"Int J Gen Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib43","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbae585","article-title":"Molecular group and correlation guided structural learning for multi-phenotype prediction","volume":"25","author":"Zhou","year":"2024","journal-title":"Brief Bioinform"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib44","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.fmre.2024.03.022","article-title":"Integrating multi-omics data of childhood asthma using a deep association model","volume":"4","author":"Wei","year":"2024","journal-title":"Fundam Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib45","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s13148-023-01611-9","article-title":"Integrative analysis identifies gene signatures mediating the effect of DNA methylation on asthma severity and lung function","volume":"16","author":"Dessie","year":"2024","journal-title":"Clin Epigenetics"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib46","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/btad582","article-title":"GOAT: gene-level biomarker discovery from multi-omics data using graph ATtention neural network for eosinophilic asthma subtype","volume":"39","author":"Jeong","year":"2023","journal-title":"Bioinformatics"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib47","doi-asserted-by":"crossref","first-page":"7415","DOI":"10.1038\/s41467-022-35088-6","article-title":"Nasal DNA methylation at three CpG sites predicts childhood allergic disease","volume":"13","author":"Van Breugel","year":"2022","journal-title":"Nat Commun"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib48","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2022.876654","article-title":"Lipopolysaccharide-induced interferon response networks at birth are predictive of severe viral lower respiratory infections in the first year of life","volume":"13","author":"Read","year":"2022","journal-title":"Front Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib49","doi-asserted-by":"crossref","first-page":"13400","DOI":"10.1021\/acs.analchem.8b03205","article-title":"OnPLS-based multi-block data integration: a multivariate approach to interrogating biological interactions in Asthma","volume":"90","author":"Reinke","year":"2018","journal-title":"Anal Chem"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib50","doi-asserted-by":"crossref","DOI":"10.15252\/msb.20188497","article-title":"netDx: interpretable patient classification using integrated patient similarity networks","volume":"15","author":"Pai","year":"2019","journal-title":"Mol Syst Biol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib51","doi-asserted-by":"crossref","first-page":"3801","DOI":"10.1093\/bioinformatics\/bty775","article-title":"Bayesian integrative model for multi-omics data with missingness","volume":"34","author":"Fang","year":"2018","journal-title":"Bioinformatics"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib52","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1016\/j.jaci.2016.02.038","article-title":"Controlled diesel exhaust and allergen coexposure modulates microRNA and gene expression in humans: Effects on inflammatory lung markers","volume":"138","author":"Rider","year":"2016","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib53","doi-asserted-by":"crossref","DOI":"10.1183\/13993003.00207-2024","article-title":"U-BIOPRED and ATLANTIS study groups, radiomultiomics: quantitative CT clusters of severe asthma associated with multiomics","volume":"64","author":"Zounemat Kermani","year":"2024","journal-title":"Eur Respir J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib54","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3390\/cimb47030167","article-title":"Identification of candidate lung function-related plasma proteins to pinpoint drug targets for common pulmonary diseases: a comprehensive multi-omics integration analysis","volume":"47","author":"Zhao","year":"2025","journal-title":"Curr Issues Mol Biol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib55","doi-asserted-by":"crossref","DOI":"10.1016\/j.waojou.2024.101008","article-title":"A multi-omics mendelian randomization identifies putatively causal genes and DNA methylation sites for asthma","volume":"17","author":"Wang","year":"2024","journal-title":"World Allergy Organ J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib56","doi-asserted-by":"crossref","first-page":"4546","DOI":"10.1038\/s41467-024-48507-7","article-title":"Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations","volume":"15","author":"Szczesny","year":"2024","journal-title":"Nat Commun"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib57","doi-asserted-by":"crossref","first-page":"682","DOI":"10.4168\/aair.2023.15.5.682","article-title":"Nasal transcriptome and epigenome analysis identifies the pathogenic features of aspirin-exacerbated respiratory disease","volume":"15","author":"Kwon","year":"2023","journal-title":"Allergy Asthma Immunol Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib58","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1016\/j.jaci.2023.01.026","article-title":"Multi-omic approach associates blood methylome with bronchodilator drug response in pediatric asthma","volume":"151","author":"Perez-Garcia","year":"2023","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib59","doi-asserted-by":"crossref","first-page":"4442","DOI":"10.1093\/bioinformatics\/btac524","article-title":"REALGAR: a web app of integrated respiratory omics data","volume":"38","author":"Kan","year":"2022","journal-title":"Bioinforma Oxf Engl"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib60","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1016\/j.jaci.2021.11.025","article-title":"Multiomics analysis identifies BIRC3 as a novel glucocorticoid response-associated gene","volume":"149","author":"Kan","year":"2022","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib61","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1186\/s13073-021-00967-y","article-title":"Multi-omics colocalization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus","volume":"13","author":"Soliai","year":"2021","journal-title":"Genome Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib62","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.jaci.2022.04.033","article-title":"Endotyping pediatric obesity-related asthma: contribution of anthropometrics, metabolism, nutrients, and CD4+ lymphocytes to pulmonary function","volume":"150","author":"Thompson","year":"2022","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib63","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.2147\/COPD.S516906","article-title":"Low-density lipoprotein cholesterol as a protective factor in COPD and implications for statin therapy: a multi-omics genetic epidemiology study","volume":"20","author":"Du","year":"2025","journal-title":"Int J Chron Obstruct Pulmon Dis"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib64","doi-asserted-by":"crossref","DOI":"10.1016\/j.redox.2025.103663","article-title":"MG53 deficiency mediated skeletal muscle dysfunction in chronic obstructive pulmonary disease via impairing mitochondrial fission","volume":"83","author":"Liao","year":"2025","journal-title":"Redox Biol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib65","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1186\/s12931-024-02999-5","article-title":"CHF6523 data suggest that the phosphoinositide 3-kinase delta isoform is not a suitable target for the management of COPD","volume":"25","author":"Govoni","year":"2024","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib66","doi-asserted-by":"crossref","DOI":"10.1136\/bmjresp-2021-001182","article-title":"Clustering-based COPD subtypes have distinct longitudinal outcomes and multi-omics biomarkers","volume":"9","author":"Gregory","year":"2022","journal-title":"BMJ Open Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib67","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0255337","article-title":"Multi-omics subtyping pipeline for chronic obstructive pulmonary disease","volume":"16","author":"Gillenwater","year":"2021","journal-title":"PLoS One"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib68","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0284563","article-title":"Deep learning on graphs for multi-omics classification of COPD","volume":"18","author":"Zhuang","year":"2023","journal-title":"PLoS One"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib69","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/s12931-024-03088-3","article-title":"Airway MMP-12 and DNA methylation in COPD: an integrative approach","volume":"26","author":"Eriksson Str\u00f6m","year":"2025","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib70","doi-asserted-by":"crossref","first-page":"11106","DOI":"10.3390\/ijms252011106","article-title":"Multi-omics analysis identified drug repurposing targets for chronic obstructive pulmonary disease","volume":"25","author":"Wang","year":"2024","journal-title":"Int J Mol Sci"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib71","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbae470","article-title":"HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity","volume":"25","author":"Butts","year":"2024","journal-title":"Brief Bioinform"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib72","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2024.1445769","article-title":"Inflammatory profile of eosinophils in asthma-COPD overlap and eosinophilic COPD: a multi-omics study","volume":"15","author":"Sunata","year":"2024","journal-title":"Front Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib73","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1165\/rcmb.2022-0302OC","article-title":"Integrating genetics, transcriptomics, and proteomics in lung tissue to investigate chronic obstructive pulmonary disease","volume":"68","author":"Zhang","year":"2023","journal-title":"Am J Respir Cell Mol Biol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib74","doi-asserted-by":"crossref","DOI":"10.3389\/fdata.2022.894632","article-title":"Significant subgraph detection in multi-omics networks for disease pathway identification","volume":"5","author":"Abdel-Hafiz","year":"2022","journal-title":"Front Big Data"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib75","doi-asserted-by":"crossref","DOI":"10.3389\/fgene.2021.748356","article-title":"Identifying miRNA-mRNA networks associated with COPD phenotypes","volume":"12","author":"Zhuang","year":"2021","journal-title":"Front Genet"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib76","doi-asserted-by":"crossref","first-page":"4336","DOI":"10.1093\/bioinformatics\/btz226","article-title":"Unsupervised discovery of phenotype-specific multi-omics networks","volume":"35","author":"Shi","year":"2019","journal-title":"Bioinforma Oxf Engl"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib77","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1039\/C5MB00577A","article-title":"Identification of potential COPD genes based on multi-omics data at the functional level","volume":"12","author":"Liu","year":"2016","journal-title":"Mol Biosyst"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib78","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1011814","article-title":"PathIntegrate: multivariate modelling approaches for pathway-based multi-omics data integration","volume":"20","author":"Wieder","year":"2024","journal-title":"PLoS Comput Biol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib79","doi-asserted-by":"crossref","DOI":"10.3389\/fgene.2022.1010048","article-title":"miRNA-mRNA-protein dysregulated network in COPD in women","volume":"13","author":"Li","year":"2022","journal-title":"Front Genet"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib80","doi-asserted-by":"crossref","DOI":"10.1183\/13993003.01930-2017","article-title":"Integration of multi-omics datasets enables molecular classification of COPD","volume":"51","author":"Li","year":"2018","journal-title":"Eur Respir J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib81","article-title":"scMoresDB: a comprehensive database of single-cell multi-omics data for human respiratory system","volume":"27","author":"Chen","year":"2024","journal-title":"iScience"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib82","series-title":"Multi-Omics Analysis of the Human Microbiome","first-page":"243","article-title":"Multi-omics in study of lung microbiome","author":"Roy","year":"2024"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib83","doi-asserted-by":"crossref","DOI":"10.3389\/fmolb.2023.1337373","article-title":"Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning","volume":"10","author":"Wu","year":"2024","journal-title":"Front Mol Biosci"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib84","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1016\/j.jaci.2019.06.025","article-title":"Associations between fungal and bacterial microbiota of airways and asthma endotypes","volume":"144","author":"Sharma","year":"2019","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib85","article-title":"Different airway inflammatory phenotypes correlate with specific fungal and bacterial microbiota in asthma and chronic obstructive pulmonary disease","volume":"2022","author":"Yang","year":"2022","journal-title":"J Immunol Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib86","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1164\/rccm.202205-0893OC","article-title":"Microbial dysregulation of the gut-lung axis in bronchiectasis","volume":"207","author":"Narayana","year":"2023","journal-title":"Am J Respir Crit Care Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib87","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1038\/s41591-021-01289-7","article-title":"Integrative microbiomics in bronchiectasis exacerbations","volume":"27","author":"Mac Aog\u00e1in","year":"2021","journal-title":"Nat Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib88","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.jaci.2024.08.017","article-title":"Deep multiomic profiling reveals molecular signatures that underpin preschool wheeze and asthma","volume":"155","author":"Macowan","year":"2025","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib89","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1186\/s12931-023-02368-8","article-title":"Benchmarking omics-based prediction of asthma development in children","volume":"24","author":"Wang","year":"2023","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib90","doi-asserted-by":"crossref","DOI":"10.1016\/j.celrep.2021.108975","article-title":"Merged affinity network association clustering: joint multi-omic\/clinical clustering to identify disease endotypes","volume":"35","author":"Tyler","year":"2021","journal-title":"Cell Rep"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib91","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.alit.2024.08.009","article-title":"Aspergillus fumigatus extract modulates human eosinophils via NOD2 and oxidative stress","volume":"74","author":"Sasaki","year":"2025","journal-title":"Allergol Int J Jpn Soc Allergol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib92","doi-asserted-by":"crossref","DOI":"10.1002\/ctm2.1771","article-title":"U\u2010BIOPRED project team, endotypes of severe neutrophilic and eosinophilic asthma from multi-omics integration of U-BIOPRED sputum samples","volume":"14","author":"Kermani","year":"2024","journal-title":"Clin Transl Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib93","doi-asserted-by":"crossref","first-page":"359","DOI":"10.3390\/biomedicines8090359","article-title":"A multi-omics approach reveals new signatures in obese allergic asthmatic children","volume":"8","author":"Gomez-Llorente","year":"2020","journal-title":"Biomedicines"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib94","doi-asserted-by":"crossref","DOI":"10.1172\/jci.insight.133707","article-title":"Integrative study of the upper and lower airway microbiome and transcriptome in asthma","volume":"5","author":"Chun","year":"2020","journal-title":"JCI Insight"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib95","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1016\/j.chom.2023.04.018","article-title":"Airway dysbiosis accelerates lung function decline in chronic obstructive pulmonary disease","volume":"31","author":"Liang","year":"2023","journal-title":"Cell Host Microbe"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib96","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1186\/s12931-023-02431-4","article-title":"Microbial dysbiosis and the host airway epithelial response: insights into HIV-associated COPD using multi\u2019omics profiling","volume":"24","author":"Jude","year":"2023","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib97","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1164\/rccm.202110-2241OC","article-title":"SPIROMICS Research Group, lung microbiota and metabolites collectively associate with clinical outcomes in milder stage chronic obstructive pulmonary disease","volume":"206","author":"Madapoosi","year":"2022","journal-title":"Am J Respir Crit Care Med"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib98","doi-asserted-by":"crossref","first-page":"5886","DOI":"10.1038\/s41467-020-19701-0","article-title":"Disease-associated gut microbiome and metabolome changes in patients with chronic obstructive pulmonary disease","volume":"11","author":"Bowerman","year":"2020","journal-title":"Nat Commun"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib99","doi-asserted-by":"crossref","DOI":"10.1016\/j.tox.2023.153709","article-title":"Multiomics was used to clarify the mechanism by which air pollutants affect chronic obstructive pulmonary disease: A human cohort study","volume":"501","author":"Li","year":"2024","journal-title":"Toxicology"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib100","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1038\/s41564-022-01196-8","article-title":"Multi-omics analyses of airway host-microbe interactions in chronic obstructive pulmonary disease identify potential therapeutic interventions","volume":"7","author":"Yan","year":"2022","journal-title":"Nat Microbiol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib101","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.jaci.2020.02.040","article-title":"The sputum microbiome, airway inflammation, and mortality in chronic obstructive pulmonary disease","volume":"147","author":"Dicker","year":"2021","journal-title":"J Allergy Clin Immunol"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib102","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1186\/s12931-023-02434-1","article-title":"Respiratory microbiota and radiomics features in the stable COPD patients","volume":"24","author":"Wang","year":"2023","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib103","doi-asserted-by":"crossref","first-page":"2748","DOI":"10.1038\/s41396-020-0727-y","article-title":"Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease","volume":"14","author":"Wang","year":"2020","journal-title":"ISME J"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib104","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbad501","article-title":"U-BIOPRED study group, Consensus clustering with missing labels (ccml): a consensus clustering tool for multi-omics integrative prediction in cohorts with unequal sample coverage","volume":"25","author":"Li","year":"2023","journal-title":"Brief Bioinform"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib105","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1186\/s12931-022-02229-w","article-title":"Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis","volume":"23","author":"Wang","year":"2022","journal-title":"Respir Res"},{"key":"10.1016\/bs.pmbts.2026.01.025_bib106","doi-asserted-by":"crossref","first-page":"2116","DOI":"10.3390\/microorganisms11082116","article-title":"Multiomic investigations into lung health and disease","volume":"11","author":"Blutt","year":"2023","journal-title":"Microorganisms"}],"container-title":["Progress in Molecular Biology and Translational Science","Artificial Intelligence for Multi-omics Analysis Part B"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877117326000402?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877117326000402?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T20:18:54Z","timestamp":1779999534000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877117326000402"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9780443413490"],"references-count":106,"URL":"https:\/\/doi.org\/10.1016\/bs.pmbts.2026.01.025","relation":{},"ISSN":["1877-1173"],"issn-type":[{"value":"1877-1173","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]}}}