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Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease

We sought to identify the biomarkers related to the clinical severity of stage I to stage IV chronic obstructive pulmonary disease (COPD). Gene expression profiles from the blood samples of COPD patients at each of the four stages were acquired from the Gene Expression Omnibus Database (GEO, accessi...

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Autores principales: Zhang, Jie, Zhu, Changli, Gao, Hong, Liang, Xun, Fan, Xiaoqian, Zheng, Yulong, Chen, Song, Wan, Yufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733647/
https://www.ncbi.nlm.nih.gov/pubmed/33354437
http://dx.doi.org/10.7717/peerj.10513
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author Zhang, Jie
Zhu, Changli
Gao, Hong
Liang, Xun
Fan, Xiaoqian
Zheng, Yulong
Chen, Song
Wan, Yufeng
author_facet Zhang, Jie
Zhu, Changli
Gao, Hong
Liang, Xun
Fan, Xiaoqian
Zheng, Yulong
Chen, Song
Wan, Yufeng
author_sort Zhang, Jie
collection PubMed
description We sought to identify the biomarkers related to the clinical severity of stage I to stage IV chronic obstructive pulmonary disease (COPD). Gene expression profiles from the blood samples of COPD patients at each of the four stages were acquired from the Gene Expression Omnibus Database (GEO, accession number: GSE54837). Genes showing expression changes among the different stages were sorted by soft clustering. We performed functional enrichment, protein–protein interaction (PPI), and miRNA regulatory network analyses for the differentially expressed genes. The biomarkers associated with the clinical classification of COPD were selected from logistic regression models and the relationships between TLR2 and inflammatory factors were verified in clinical blood samples by qPCR and ELISA. Gene clusters demonstrating continuously rising or falling changes in expression (clusters 1, 2, and 7 and clusters 5, 6, and 8, respectively) from stage I to IV were defined as upregulated and downregulated genes, respectively, and further analyzed. The upregulated genes were enriched in functions associated with defense, inflammatory, or immune responses. The downregulated genes were associated with lymphocyte activation and cell activation. TLR2, HMOX1, and CD79A were hub proteins in the integrated network of PPI and miRNA regulatory networks. TLR2 and CD79A were significantly correlated with clinical classifications. TLR2 was closely associated with inflammatory responses during COPD progression. Functions associated with inflammatory and immune responses as well as lymphocyte activation may play important roles in the progression of COPD from stage I to IV. TLR2 and CD79A may serve as potential biomarkers for the clinical severity of COPD. TLR2 and CD79A may also serve as independent biomarkers in the clinical classification in COPD. TLR2 may play an important role in the inflammatory responses of COPD.
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spelling pubmed-77336472020-12-21 Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease Zhang, Jie Zhu, Changli Gao, Hong Liang, Xun Fan, Xiaoqian Zheng, Yulong Chen, Song Wan, Yufeng PeerJ Bioinformatics We sought to identify the biomarkers related to the clinical severity of stage I to stage IV chronic obstructive pulmonary disease (COPD). Gene expression profiles from the blood samples of COPD patients at each of the four stages were acquired from the Gene Expression Omnibus Database (GEO, accession number: GSE54837). Genes showing expression changes among the different stages were sorted by soft clustering. We performed functional enrichment, protein–protein interaction (PPI), and miRNA regulatory network analyses for the differentially expressed genes. The biomarkers associated with the clinical classification of COPD were selected from logistic regression models and the relationships between TLR2 and inflammatory factors were verified in clinical blood samples by qPCR and ELISA. Gene clusters demonstrating continuously rising or falling changes in expression (clusters 1, 2, and 7 and clusters 5, 6, and 8, respectively) from stage I to IV were defined as upregulated and downregulated genes, respectively, and further analyzed. The upregulated genes were enriched in functions associated with defense, inflammatory, or immune responses. The downregulated genes were associated with lymphocyte activation and cell activation. TLR2, HMOX1, and CD79A were hub proteins in the integrated network of PPI and miRNA regulatory networks. TLR2 and CD79A were significantly correlated with clinical classifications. TLR2 was closely associated with inflammatory responses during COPD progression. Functions associated with inflammatory and immune responses as well as lymphocyte activation may play important roles in the progression of COPD from stage I to IV. TLR2 and CD79A may serve as potential biomarkers for the clinical severity of COPD. TLR2 and CD79A may also serve as independent biomarkers in the clinical classification in COPD. TLR2 may play an important role in the inflammatory responses of COPD. PeerJ Inc. 2020-12-10 /pmc/articles/PMC7733647/ /pubmed/33354437 http://dx.doi.org/10.7717/peerj.10513 Text en ©2020 Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhang, Jie
Zhu, Changli
Gao, Hong
Liang, Xun
Fan, Xiaoqian
Zheng, Yulong
Chen, Song
Wan, Yufeng
Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
title Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
title_full Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
title_fullStr Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
title_full_unstemmed Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
title_short Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
title_sort identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733647/
https://www.ncbi.nlm.nih.gov/pubmed/33354437
http://dx.doi.org/10.7717/peerj.10513
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