CircRNA0001859, a new diagnostic and prognostic biomarkers for COPD and AECOPD

Chen, Shuifang; Yao, Yinan; Lü, Shan; Chen, Junjun; Yang, Guangdie; Tu, Lingfang; Chen, Lina

doi:10.1186/s12890-020-01333-1

Cited by 18 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…16 In addition, a recent study found that circRNA0001859 was down-regulated in lung tissue of mice and may be a potential biomarker for the treatment of COPD. 17 Moreover, one previous study demonstrated that autophagy-associated protein levels of PBMCs in COPD patients were increased and were correlated with FEV 1 % predicted values and circulating levels of cytokines. 15 However, there are still few related studies in this field, and further investigations will be required to better understand this field.…”

Section: Discussionmentioning

confidence: 97%

Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease

Sun¹,

Shen²,

Wang³

et al. 2021

COPD

View full text Add to dashboard Cite

Autophagy plays essential roles in the development of COPD. We aim to identify and validate the potential autophagy-related genes of COPD through bioinformatics analysis and experiment validation. Methods: The mRNA expression profile dataset GSE38974 was obtained from GEO database. The potential differentially expressed autophagy-related genes of COPD were screened by R software. Then, protein-protein interactions (PPI), correlation analysis, gene-ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied for the differentially expressed autophagy-related genes. Finally, RNA expression of top five differentially expressed autophagy-related genes was validated in blood samples from COPD patients and healthy controls by qRT-PCR. Results: A total of 40 differentially expressed autophagy-related genes (14 up-regulated genes and 26 down-regulated genes) were identified between 23 COPD patients and 9 healthy controls. The PPI results demonstrated that these autophagy-related genes interacted with each other. The GO and KEGG enrichment analysis of differentially expressed autophagy-related genes indicated several enriched terms related to autophagy and mitophagy. The results of qRT-PCR showed that the expression levels of HIF1A, CDKN1A, BAG3, ERBB2 and ATG16L1 in COPD patients and healthy controls were consistent with the bioinformatics analysis results from mRNA microarray. Conclusion: We identified 40 potential autophagy-related genes of COPD through bioinformatics analysis. HIF1A, CDKN1A, BAG3, ERBB2 and ATG16L1 may affect the development of COPD by regulating autophagy. These results may expand our understanding of COPD and might be useful in the treatment of COPD.

show abstract

Section: Discussionmentioning

confidence: 97%

Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease

Sun¹,

Shen²,

Wang³

et al. 2021

COPD

View full text Add to dashboard Cite

show abstract

“…Increasing evidence long suggests that lncRNAs, miRNAs, and circRNAs along with mRNAs could massively involved in the progression of many diseases, with some of them being identified as potentially suitable biomarkers [ 32 , 33 ]. However, there is only a limited number of studies for the universal investigations on the differentially expressed RNAs of COPD, especially circRNAs [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Comprehensive identification of RNA transcripts and construction of RNA network in chronic obstructive pulmonary disease

et al. 2022

View full text Add to dashboard Cite

Background Chronic obstructive pulmonary disease (COPD) is one of the world’s leading causes of death and a major chronic disease, highly prevalent in the aging population exposed to tobacco smoke and airborne pollutants, which calls for early and useful biomolecular predictors. Roles of noncoding RNAs in COPD have been proposed, however, not many studies have systematically investigated the crosstalk among various transcripts in this context. The construction of RNA functional networks such as lncRNA-mRNA, and circRNA-miRNA-mRNA interaction networks could therefore facilitate our understanding of RNA interactions in COPD. Here, we identified the expression of RNA transcripts in RNA sequencing from COPD patients, and the potential RNA networks were further constructed. Methods All fresh peripheral blood samples of three patients with COPD and three non-COPD patients were collected and examined for mRNA, miRNA, lncRNA, and circRNA expression followed by qRT-PCR validation. We also examined mRNA expression to enrich relevant biological pathways. lncRNA-mRNA coexpression network and circRNA-miRNA-mRNA network in COPD were constructed. Results In this study, we have comprehensively identified and analyzed the differentially expressed mRNAs, lncRNAs, miRNAs, and circRNAs in peripheral blood of COPD patients with high-throughput RNA sequencing. 282 mRNAs, 146 lncRNAs, 85 miRNAs, and 81 circRNAs were differentially expressed. GSEA analysis showed that these differentially expressed RNAs correlate with several critical biological processes such as “ncRNA metabolic process”, “ncRNA processing”, “ribosome biogenesis”, “rRNAs metabolic process”, “tRNA metabolic process” and “tRNA processing”, which might be participating in the progression of COPD. RT-qPCR with more clinical COPD samples was used for the validation of some differentially expressed RNAs, and the results were in high accordance with the RNA sequencing. Given the putative regulatory function of lncRNAs and circRNAs, we have constructed the co-expression network between lncRNA and mRNA. To demonstrate the potential interactions between circRNAs and miRNAs, we have also constructed a competing endogenous RNA (ceRNA) network of differential expression circRNA-miRNA-mRNA in COPD. Conclusions In this study, we have identified and analyzed the differentially expressed mRNAs, lncRNAs, miRNAs, and circRNAs, providing a systematic view of the differentially expressed RNA in the context of COPD. We have also constructed the lncRNA-mRNA co-expression network, and for the first time constructed the circRNA-miRNA-mRNA in COPD. This study reveals the RNA involvement and potential regulatory roles in COPD, and further uncovers the interactions among those RNAs, which will assist the pathological investigations of COPD and shed light on therapeutic targets exploration for COPD.

show abstract

“…Current reports demonstrated that circ_0001859 could be employed as a diagnostic and prognostic biomarker based on its dysregulation in CS-treated lung tissues of mice and peripheral blood of patients with COPD as well as the analysis of receiver operating characteristics (ROC) curve. 23 Duan et al analyzed the expression profiles of circRNAs and mRNAs, and demonstrated that circRNAs played vital roles in COPD process via regulating the immune balance and inflammatory responses. 24 In mechanism, Ma and his colleagues explained that circ_0061052 implicated in epithelial–mesenchymal transition of CSE-induced airway remolding by controlling forkhead box C1/snail pathway through binding to miR-515-5p.…”

Section: Discussionmentioning

confidence: 99%

CircANKRD11 Knockdown Protects HPMECs from Cigarette Smoke Extract-Induced Injury by Regulating miR-145-5p/BRD4 Axis

Wang¹,

Zuo²,

Gao³

2021

COPD

View full text Add to dashboard Cite

Background: Chronic obstructive pulmonary disease (COPD) is a major cause of death because of its high incidence and mortality, which is chiefly resulted from cigarette smoke exposure. A large number of studies show that circular RNA (circRNA) participates in regulating COPD process. This study aims to reveal the role of circRNA ankyrin repeat domain 11 (circANKRD11) in cigarette smoke extract (CSE)-induced cell apoptosis, inflammation, and oxidative stress. Methods: The expression of circANKRD11, microRNA-145-5p (miR-145-5p) and bromodomain-containing 4 (BRD4) mRNA was detected by quantitative real-time polymerase chain reaction. The expression of apoptosis-related proteins and BRD4 protein was determined by Western blot. Cell apoptosis was detected by flow cytometry and Western blot. Cell inflammation was demonstrated by determining the levels of interleukin-1β (IL-1β), IL-6 and tumor necrosis factor-α (TNF-α) through enzyme-linked immunosorbent assay. Oxidative stress was investigated by the reactive oxygen species (ROS) and malondialdehyde (MDA) determination assays as well as superoxide dismutase (SOD) activity assay. The binding relationship between miR-145-5p and circANKRD11 or BRD4 was predicted by circinteractome or MicroT_CDS online database, and identified by dual-luciferase reporter, RNA immunoprecipitation or RNA pull-down assay. Results: CircANKRD11 and BRD4 expression were increased, whereas miR-145-5p expression was decreased in the lung tissues of smokers with or without COPD and CSEinduced HPMECs compared with the lung tissues of non-smokers as well as untreated HPMECs, respectively. CircANKRD11 silencing ameliorated CSE-induced cell apoptosis, inflammation, and oxidative stress. CircANKRD11 acted as a sponge of miR-145-5p, and regulated CSE-induced cell injury via sponging miR-145-5p. Additionally, miR-145-5p mimics protected against CSE-induced cell injury through targeting BRD4. Conclusion: CircANKRD11 absence protected HPMECs from CSE-induced injury by regulating BRD4 through associating with miR-145-5p, which demonstrated that circANKRD11 had the potential to act as a diagnosis biomarker for smoker-caused COPD.

show abstract

CircRNA0001859, a new diagnostic and prognostic biomarkers for COPD and AECOPD

Cited by 18 publications

References 30 publications

Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease

Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease

Comprehensive identification of RNA transcripts and construction of RNA network in chronic obstructive pulmonary disease

CircANKRD11 Knockdown Protects HPMECs from Cigarette Smoke Extract-Induced Injury by Regulating miR-145-5p/BRD4 Axis

Contact Info

Product

Resources

About