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Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, April 2018
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Title
Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD
Published in
International Journal of Chronic Obstructive Pulmonary Disease, April 2018
DOI 10.2147/copd.s163459
Pubmed ID
Authors

Xiao Liu, Jingge Qu, Weixiao Xue, Liangai He, Jun Wang, Xuejiao Xi, Xiaoxia Liu, Yunhong Yin, Yiqing Qu

Abstract

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. 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). 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). 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Bachelor 5 12%
Other 4 9%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 16 37%
Readers by discipline Count As %
Medicine and Dentistry 11 26%
Biochemistry, Genetics and Molecular Biology 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 4 9%
Unknown 16 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 May 2018.
All research outputs
#16,728,456
of 25,382,440 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#1,614
of 2,578 outputs
Outputs of similar age
#210,933
of 343,807 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#54
of 82 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 343,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.