Cargando…

IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis

[Image: see text] To determine the role of inflammation-related proteins in predicting asthma severity and outcome, 92 inflammation-related proteins were measured in the asthmatic serum using Olink analysis. Different bioinformatics algorithms were developed to cross analyze with the single-cell or...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Kun, Wang, Ting, Tang, Qingqin, Chen, Tingsang, Lin, Meishan, Jin, Jieyu, Cao, Jun, Zhang, Sheng, Xing, Yanru, Qiao, Longwei, Liang, Yuting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563159/
https://www.ncbi.nlm.nih.gov/pubmed/37733955
http://dx.doi.org/10.1021/acs.jproteome.3c00389
_version_ 1785118279720763392
author Lin, Kun
Wang, Ting
Tang, Qingqin
Chen, Tingsang
Lin, Meishan
Jin, Jieyu
Cao, Jun
Zhang, Sheng
Xing, Yanru
Qiao, Longwei
Liang, Yuting
author_facet Lin, Kun
Wang, Ting
Tang, Qingqin
Chen, Tingsang
Lin, Meishan
Jin, Jieyu
Cao, Jun
Zhang, Sheng
Xing, Yanru
Qiao, Longwei
Liang, Yuting
author_sort Lin, Kun
collection PubMed
description [Image: see text] To determine the role of inflammation-related proteins in predicting asthma severity and outcome, 92 inflammation-related proteins were measured in the asthmatic serum using Olink analysis. Different bioinformatics algorithms were developed to cross analyze with the single-cell or transcriptome data sets from the Gene Expression Omnibus database to explore the role of IL18R1 and related genes in asthma and idiopathic pulmonary fibrosis (IPF). Olink identified 52 differentially expressed proteins in asthma. They were strongly linked to the cytokine–cytokine receptor interaction, TNF, and NF-κB signaling pathway. Seven proteins were found in both single-cell RNA and Olink analyses. Among them, IL18R1 was predominantly expressed in mast cells, and the results suggested enhanced communication between mast cells and CD 8(+) T cells. IL18R1 was upregulated in serum and induced sputum and bronchoalveolar lavage fluid of patients with uncontrolled or severe asthma. IL18R1 was positively correlated with TNFSF1 and OSM and S100A12. The diagnostic efficacy of these serum IL18R1-related molecules for asthma ranged from 0.839 to 0.921. Moreover, high levels of IL18R1, TNFSF1, OSM, and S100A12 were significantly associated with shorter survival times and worse lung function. IL18R1-related molecules may serve as biomarkers for monitoring uncontrolled or severe asthma and as prognostic markers for IPF.
format Online
Article
Text
id pubmed-10563159
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-105631592023-10-11 IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis Lin, Kun Wang, Ting Tang, Qingqin Chen, Tingsang Lin, Meishan Jin, Jieyu Cao, Jun Zhang, Sheng Xing, Yanru Qiao, Longwei Liang, Yuting J Proteome Res [Image: see text] To determine the role of inflammation-related proteins in predicting asthma severity and outcome, 92 inflammation-related proteins were measured in the asthmatic serum using Olink analysis. Different bioinformatics algorithms were developed to cross analyze with the single-cell or transcriptome data sets from the Gene Expression Omnibus database to explore the role of IL18R1 and related genes in asthma and idiopathic pulmonary fibrosis (IPF). Olink identified 52 differentially expressed proteins in asthma. They were strongly linked to the cytokine–cytokine receptor interaction, TNF, and NF-κB signaling pathway. Seven proteins were found in both single-cell RNA and Olink analyses. Among them, IL18R1 was predominantly expressed in mast cells, and the results suggested enhanced communication between mast cells and CD 8(+) T cells. IL18R1 was upregulated in serum and induced sputum and bronchoalveolar lavage fluid of patients with uncontrolled or severe asthma. IL18R1 was positively correlated with TNFSF1 and OSM and S100A12. The diagnostic efficacy of these serum IL18R1-related molecules for asthma ranged from 0.839 to 0.921. Moreover, high levels of IL18R1, TNFSF1, OSM, and S100A12 were significantly associated with shorter survival times and worse lung function. IL18R1-related molecules may serve as biomarkers for monitoring uncontrolled or severe asthma and as prognostic markers for IPF. American Chemical Society 2023-09-21 /pmc/articles/PMC10563159/ /pubmed/37733955 http://dx.doi.org/10.1021/acs.jproteome.3c00389 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lin, Kun
Wang, Ting
Tang, Qingqin
Chen, Tingsang
Lin, Meishan
Jin, Jieyu
Cao, Jun
Zhang, Sheng
Xing, Yanru
Qiao, Longwei
Liang, Yuting
IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis
title IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis
title_full IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis
title_fullStr IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis
title_full_unstemmed IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis
title_short IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis
title_sort il18r1-related molecules as biomarkers for asthma severity and prognostic markers for idiopathic pulmonary fibrosis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563159/
https://www.ncbi.nlm.nih.gov/pubmed/37733955
http://dx.doi.org/10.1021/acs.jproteome.3c00389
work_keys_str_mv AT linkun il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT wangting il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT tangqingqin il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT chentingsang il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT linmeishan il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT jinjieyu il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT caojun il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT zhangsheng il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT xingyanru il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT qiaolongwei il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis
AT liangyuting il18r1relatedmoleculesasbiomarkersforasthmaseverityandprognosticmarkersforidiopathicpulmonaryfibrosis