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Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD
OBJECTIVES: MicroRNAs (miRNAs) play essential roles in the development of COPD. In this study, we aimed to identify and validate potential miRNA biomarkers in frequent and non-frequent exacerbators of COPD patients using bioinformatic analysis. MATERIALS AND METHODS: The candidate miRNA biomarkers i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909781/ https://www.ncbi.nlm.nih.gov/pubmed/29713155 http://dx.doi.org/10.2147/COPD.S163459 |
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author | Liu, Xiao Qu, Jingge Xue, Weixiao He, Liangai Wang, Jun Xi, Xuejiao Liu, Xiaoxia Yin, Yunhong Qu, Yiqing |
author_facet | Liu, Xiao Qu, Jingge Xue, Weixiao He, Liangai Wang, Jun Xi, Xuejiao Liu, Xiaoxia Yin, Yunhong Qu, Yiqing |
author_sort | Liu, Xiao |
collection | PubMed |
description | OBJECTIVES: MicroRNAs (miRNAs) play essential roles in the development of COPD. In this study, we aimed to identify and validate potential miRNA biomarkers in frequent and non-frequent exacerbators of COPD patients using bioinformatic analysis. MATERIALS AND METHODS: The candidate miRNA biomarkers in COPD were screened from Gene Expression Omnibus (GEO) dataset and identified using GEO2R online tool. Then, we performed bioinformatic analyses including target prediction, gene ontology (GO), pathway enrichment analysis and construction of protein–protein interaction (PPI) network. Furthermore, the expression of the identified miRNAs in peripheral blood monocular cells (PBMCs) of COPD patients was validated using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: MiR-23a, miR-25, miR-145 and miR-224 were identified to be significantly downregulated in COPD patients compared with healthy controls. GO analysis showed the four miRNAs involved in apoptotic, cell differentiation, cell proliferation and innate immune response. Pathway analysis showed that the targets of these miRNAs were associated with p53, TGF-β, Wnt, VEGF and MAPK signal pathway. In healthy controls, the miR-25 and miR-224 levels were significantly decreased in smokers compared with nonsmokers (P<0.001 and P<0.05, respectively). In COPD patients, the levels of miR-23a, miR-25, miR-145 and miR-224 were associated with Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages. Notably, miR-23a and miR-145 were significantly elevated in non-frequent exacerbators compared with frequent exacerbators (P<0.05), and miR-23a showed higher area under the receiver–operator characteristic curve (AUROC) than miR-145 (0.707 vs 0.665, P<0.05). CONCLUSION: MiR-23a, miR-25, miR-145 and miR-224 were associated with the development of COPD, and miR-23a might be a potential biomarker for discriminating the frequent exacerbators from non-frequent exacerbators. |
format | Online Article Text |
id | pubmed-5909781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59097812018-04-30 Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD Liu, Xiao Qu, Jingge Xue, Weixiao He, Liangai Wang, Jun Xi, Xuejiao Liu, Xiaoxia Yin, Yunhong Qu, Yiqing Int J Chron Obstruct Pulmon Dis Original Research OBJECTIVES: MicroRNAs (miRNAs) play essential roles in the development of COPD. In this study, we aimed to identify and validate potential miRNA biomarkers in frequent and non-frequent exacerbators of COPD patients using bioinformatic analysis. MATERIALS AND METHODS: The candidate miRNA biomarkers in COPD were screened from Gene Expression Omnibus (GEO) dataset and identified using GEO2R online tool. Then, we performed bioinformatic analyses including target prediction, gene ontology (GO), pathway enrichment analysis and construction of protein–protein interaction (PPI) network. Furthermore, the expression of the identified miRNAs in peripheral blood monocular cells (PBMCs) of COPD patients was validated using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: MiR-23a, miR-25, miR-145 and miR-224 were identified to be significantly downregulated in COPD patients compared with healthy controls. GO analysis showed the four miRNAs involved in apoptotic, cell differentiation, cell proliferation and innate immune response. Pathway analysis showed that the targets of these miRNAs were associated with p53, TGF-β, Wnt, VEGF and MAPK signal pathway. In healthy controls, the miR-25 and miR-224 levels were significantly decreased in smokers compared with nonsmokers (P<0.001 and P<0.05, respectively). In COPD patients, the levels of miR-23a, miR-25, miR-145 and miR-224 were associated with Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages. Notably, miR-23a and miR-145 were significantly elevated in non-frequent exacerbators compared with frequent exacerbators (P<0.05), and miR-23a showed higher area under the receiver–operator characteristic curve (AUROC) than miR-145 (0.707 vs 0.665, P<0.05). CONCLUSION: MiR-23a, miR-25, miR-145 and miR-224 were associated with the development of COPD, and miR-23a might be a potential biomarker for discriminating the frequent exacerbators from non-frequent exacerbators. Dove Medical Press 2018-04-16 /pmc/articles/PMC5909781/ /pubmed/29713155 http://dx.doi.org/10.2147/COPD.S163459 Text en © 2018 Liu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Liu, Xiao Qu, Jingge Xue, Weixiao He, Liangai Wang, Jun Xi, Xuejiao Liu, Xiaoxia Yin, Yunhong Qu, Yiqing Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD |
title | Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD |
title_full | Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD |
title_fullStr | Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD |
title_full_unstemmed | Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD |
title_short | Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD |
title_sort | bioinformatics-based identification of potential microrna biomarkers in frequent and non-frequent exacerbators of copd |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909781/ https://www.ncbi.nlm.nih.gov/pubmed/29713155 http://dx.doi.org/10.2147/COPD.S163459 |
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