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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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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 |
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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 |
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