Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xiao, Qu, Jingge, Xue, Weixiao, He, Liangai, Wang, Jun, Xi, Xuejiao, Liu, Xiaoxia, Yin, Yunhong, Qu, Yiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
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
_version_ 1783315957431664640
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
work_keys_str_mv AT liuxiao bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT qujingge bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT xueweixiao bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT heliangai bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT wangjun bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT xixuejiao bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT liuxiaoxia bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT yinyunhong bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd
AT quyiqing bioinformaticsbasedidentificationofpotentialmicrornabiomarkersinfrequentandnonfrequentexacerbatorsofcopd