circRNAs In Patients Research Articles

Altered expression of circular RNA in patients with cervical artery dissection.

Cervical artery dissection (CeAD), a special cerebrovascular disease and the main cause of stroke in young people, can present with ischemic stroke, headache, subarachnoid hemorrhage, and other symptoms, increasing the possibility of misdiagnosis. As a special class of non-coding RNAs, circRNAs are commonly found in organisms and can play regulatory roles in transcription and post-transcription processes, affecting gene expression.CircRNAs have reported to be associated with neurological diseases; however, their role in CeAD has not been discerned. In this study, we aimed to elucidate the pathophysiological changes in patients with CeAD and identify biomarkers. Peripheral blood mononuclear cells from patients with CeAD and healthy controls were sequenced using high-throughput sequencing. We detected 460 differently expressed circRNAs in patients with CeAD (p < 0.5, fold difference ≥ 2), of which 240 were upregulated and 220 were downregulated. Four circRNAs showed significant differences in expression, which were validated using qRT-PCR. These results suggested that three circRNAs were consistent with high-throughput sequencing results. Bioinformatics analysis demonstrated that these differentially expressed circRNAs were involved in protein metabolism, regulation, synapses, and other pathophysiological processes during CeAD-induced stroke. Additionally, various pathways related to inflammation were closely associated with circRNAs. Based on our results, we suggest that the aberrant expression of circRNAs in CeAD may serve as a biomarker for its diagnosis and as a potential therapeutic target.

LncRNA and circRNA in Patients with Non-Alcoholic Fatty Liver Disease: A Systematic Review

Non-alcoholic fatty liver disease (NAFLD) is currently the most common cause of chronic liver disease worldwide. Early identification and prompt treatment are critical to optimize patient management and improve long-term prognosis. Long non-coding RNA (lncRNA) and circular RNA (circRNA) are recently emerging non-coding RNAs, and are highly stable and easily detected in the circulation, representing a promising non-invasive approach for predicting NAFLD. A literature search of the Pubmed, Embase, Web of Science, and Cochrane Library databases was performed and 36 eligible studies were retrieved, including 18 on NAFLD, 13 on nonalcoholic steatohepatitis (NASH), and 11 on fibrosis and/or cirrhosis. Dynamic changes in lncRNA expression were associated with the occurrence and progression of NAFLD, among which lncRNA NEAT1, MEG3, and MALAT1 exhibited great potential as biomarkers for NAFLD. Moreover, mitochondria-located circRNA SCAR can drive metaflammation and its inhibition might be a promising therapeutic target for NASH. In this systematic review, we highlight the great potential of lncRNA/circRNA for early diagnosis and progression assessment of NAFLD. To further verify their clinical value, large-cohort studies incorporating lncRNA and circRNA expression both in liver tissue and blood should be conducted. Additionally, detailed studies on the functional mechanisms of NEAT1, MEG3, and MALAT1 will be essential for elucidating their roles in diagnosing and treating NAFLD, NASH, and fibrosis.

CircRNA, a novel diagnostic biomarker for coronary heart disease.

This study aimed to identify the potential diagnostic biomarkers of coronary heart disease (CHD) from exosome-derived circRNA. The microarray data of circRNA derived from the exosomes of patients with CHD and mRNA in acute myocardial infarction was retrieved from exoRBase website and GEO database (GSE61144), respectively, to identify the differentially expressed genes (DEGs). Our findings detected the differentially expressed circRNAs and mRNAs and predicted their correlation with microRNAs using the microRNA target prediction website, thus ascertaining the corresponding circ-microRNA and micro-mRNAs. Then, we performed systematic Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis on the differentially expressed mRNA. Protein-Protein Interactions (PPI) of these DEGs were examined using STRING. The receiver operator characteristic (ROC) curve was used to validate the diagnostic efficacy of circRNA in patients with CHD. Finally, the RNAs identified in this study were verified by quantitative real-time polymerase chain reaction (qRT-PCR). A total of 85 differentially expressed circRNAs (4 up-regulated and 81 down-regulated) were identified by screening the circRNAs in exosome of CHD patients. Based on the prediction data of circRNA, mRNA, and the corresponding microRNA, a ceRNA network was constructed, including 7 circRNA nodes, 5 microRNA nodes, and 2 mRNA nodes. Finally, validated by qRT-PCR testing, we found circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922 to be the promising candidate for the effective prediction of CHD. These potential diagnostic markers can provide insight for further research on the occurrence of CHD or even acute coronary syndrome (ACS).

Therapeutic prospects of ceRNAs in COVID-19.

Since the end of 2019, COVID-19 caused by SARS-CoV-2 has spread worldwide, and the understanding of the new coronavirus is in a preliminary stage. Currently, immunotherapy, cell therapy, antiviral therapy, and Chinese herbal medicine have been applied in the clinical treatment of the new coronavirus; however, more efficient and safe drugs to control the progress of the new coronavirus are needed. Long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and circular RNAs (circRNAs) may provide new therapeutic targets for novel coronavirus treatments. The first aim of this paper is to review research progress on COVID-19 in the respiratory, immune, digestive, circulatory, urinary, reproductive, and nervous systems. The second aim is to review the body systems and potential therapeutic targets of lncRNAs, miRNAs, and circRNAs in patients with COVID-19. The current research on competing endogenous RNA (ceRNA) (lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA) in SARS-CoV-2 is summarized. Finally, we predict the possible therapeutic targets of four lncRNAs, MALAT1, NEAT1, TUG1, and GAS5, in COVID-19. Importantly, the role of PTEN gene in the ceRNA network predicted by lncRNA MALAT1 and lncRNA TUG1 may help in the discovery and clinical treatment of effective drugs for COVID-19.

Prognostic value of peripheral blood circular RNAs in patients with acute coronary syndrome.

BackgroundAcute coronary syndrome (ACS) is a clinical emergency. Although its prognosis has been significantly improved, some patients will have major adverse cardiovascular events (MACE) in the short term. We aimed to analyze the prognostic value of circRNAs in patients with ACS.MethodsThis diagnostic accuracy study enrolled a total of 100 patients with ACS from January 2019 to January 2021. All patients were followed up for 30 days. The expression of circRNAs in peripheral blood was determined using real-time fluorescence quantification PCR (qRT-PCR). 30 patients with MACE were divided into the observation group and 70 patients without MACE were divided into the control group. The general data and the detection results of circRNAs of the two groups were compared, and the influencing factors of MACE in ACS patients were analyzed by logistic regression. Receiver operating characteristic (ROC) curves were generated, and the predictive value of peripheral blood circRNAs for MACE in patients with ACS was evaluated.ResultsThe age, sex, hypertension, dyslipidemia, location of coronary artery disease, left ventricular ejection fraction, and Killip grade were not significantly different between the two groups (P>0.05). Type 2 diabetes and smoking history in the observation group were also comparable between the two groups (P>0.05). Logistic regression analysis showed that type 2 diabetes mellitus [odd ratio (OR) 1.314, 95% confidence interval (CI): 1.052–1.437, P=0.002], smoking history (OR 1.227, 95% CI: 1.014–1.385, P=0.001), and the up-regulation of circRNAs in peripheral blood (OR 1.312, 95% CI: 1.028–1.452, P=0.002) were risk factors for MACE in ACS patients. The results of the ROC curve showed that peripheral blood circRNAs could be used as a predictor of MACE in patients with ACS. The best cut-off value was 96.44 ng/µL, the diagnostic sensitivity was 75.71%, the specificity was 100%, and the area under the curve (AUC) was 0.931 (95% CI: 0.884–0.977, P<0.001).ConclusionsPeripheral blood circRNAs are up-regulated about 3 fold in the peripheral blood of patients with ACS. Abnormal expression is an independent risk factor affecting MACE. Peripheral blood circRNAs can assist in clinical decision-making processes in patients with ACS.

Identification of potential circular RNA biomarkers in lung adenocarcinoma: A bioinformatics analysis and retrospective clinical study.

Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer-associated mortality. Lung adenocarcinoma (LAC) is the most prevalent pathological subtype of NSCLC and accounts for ~40% of all lung cancer mortalities. There remains an urgent demand for the identification of novel biomarkers for the diagnosis and development of therapeutic strategies for LAC. In the present study, the profiles of the differentially-expressed circular RNAs (circRNAs) in LAC tissues compared with those in their corresponding non-cancerous tissues were obtained after analyzing the circRNA microarray dataset GSE101586. The expression pattern of the indicated circRNAs in the LAC tissues were subsequently verified using reverse transcription-quantitative PCR (RT-qPCR). The potential prognostic significance of these circRNAs in patients with LAC were then analyzed in a retrospective clinical study. A circRNA-microRNA (miR or miRNA)-mRNA regulatory network in LAC was established by using Cytoscape. In addition, a protein-protein interaction (PPI) network was plotted using the Search Tool for the Retrieval of Interacting Genes/Proteins and visualized through Cytoscape. The prognostic value of the hub genes found was then analyzed based on the Gene Expression Profiling Interactive Analysis database. In total, four differentially-expressed circRNAs were obtained from the GSE101586 microarray dataset, three of which (hsa_circ_0006220, hsa_circ_0072088 and hsa_circ_0001666) were confirmed by RT-qPCR to be highly expressed in LAC tissues. This retrospective clinical study revealed that higher expression levels of these three circRNAs were associated with poorer prognoses in patients with LAC. In addition, siRNA-mediated knockdown of these circRNAs was found to inhibit cell proliferation, migration and invasion in LAC cells. Following analysis of the molecular mechanism underlying these circRNAs, eight miRNAs, namely miR-520f, miR-1261, miR-1270, miR-620, miR-188-3p, miR-516b, miR-940 and miR-661, were identified with potential binding sites for these three circRNAs. Subsequently, 232 overlapped genes from the 795 upregulated genes in the LAC samples from The Cancer Genome Atlas database and 7,829 predicted target genes of the list of eight aforementioned miRNAs were obtained. A circRNA-miRNA-mRNA network was then constructed. A PPI network was established, with six hub genes, namely kinesin family member (KIF) 2C, KIF18B, maternal embryonic leucine zipper kinase, baculoviral IAP repeat-containing 5, polo-like kinase 1 and cytoskeleton-associated protein 2-like, determined from this network. Higher expression levels of each of these hub genes were found to be associated with poorer prognoses of patients with LAC. To conclude, data from the present study suggested that circRNAs hsa_circ_0006220, hsa_circ_0072088 and hsa_circ_0001666 have the potential to be viable biomarkers and therapeutic targets for LAC.

Genome-wide profiling of the expression of serum derived exosomal circRNAs in patients with hepatic alveolar echinococcosis.

The patients with hepatic alveolar echinococcosis is poorly detected due to invasive and slow growth. Thus, early diagnosis of hepatic alveolar echinococcosis is so important for patients. Circular RNAs are crucial types of the non-coding RNA. Recent studies have provided serum-derived exosomal circRNAs as potential biomarkers for detection of various diseases. The clinical importance of exosomal circRNAs in hepatic alveolar echinococcosis have never been explored before. Here, we investigated the serum-derived exosomal circRNAs in the diagnosis of hepatic alveolar echinococcosis. Firstly, High-throughput Sequencing was performed using 9 hepatic alveolar echinococcosis and 9 control samples to detect hepatic alveolar echinococcosis related circRNAs. Afterwards, bioinformatic analyzes were performed to identify differentially expressed circRNAs and pathway analyzes were performed. Finally, validation of the determined circRNAs was performed using RT-PCR. The sequencing data indicated that 59 differentially expressed circRNAs; 31 up-regulated and 28 down-regulated circRNA in hepatic alveolar echinococcosis patients. The top 5 up-regulated and down-regulated circRNAs were selected for validation by RT-qPCR assay. As a result of the verification, circRNAs that were significantly up- and down-regulated showed an expression profile consistent with the results obtained. Importantly, our findings suggested that identified exosomal circRNAs could be a potential biomarker for the detection of hepatic alveolar echinococcosis serum and may help to understand the pathogenesis of hepatic alveolar echinococcosis.

Circ_0072008, an oncogene in pancreatic ductal adenocarcinoma, contributes to tumour cell malignant progression and glycolysis by regulating miR-545-3p/SLC7A11 axis

Background The hsa_circRNA_103809 (circ_0072088) has been an emerging tumour regulator in human cancers, and is identified as one most aberrantly expressed circRNA in patients with pancreatic ductal adenocarcinoma (PDAC). However, the role of circ_0072088 remains unclear in PDAC cells. Methods Expression of circ_0072088, microRNA (miR)-545-3p and solute carrier family 7 member 11 (SLC7A11) was detected by real-time quantitative PCR and western blotting. Cell progression was measured by cell counting kit (CCK)-8 assay, transwell assays and flow cytometry, as well as xenograft tumour models. Glycolysis was evaluated by commercial assay kits. The interaction among circ_0072088, miR-545-3p and SLC7A11 was confirmed by dual-luciferase reporter assay. Results Circ_0072088 was upregulated in PDAC tumours and cells; besides, high circ_0072088 level was associated with high tumour-node-metastasis (TNM) stage. The circ_0072088 siRNA suppressed cell viability, migration, invasion, extracellular acidification rate (ECAR), lactate production, glucose uptake, and ATP generation, but promoted apoptosis rate and oxygen consumption rate (OCR) in SW1990 and PANC-1 cells. In vivo, circ_0072088 knockdown retarded tumour growth of PANC-1 cells. Overexpressing miR-545-3p mimicked circ_0072088 siRNA-induced actions, and inhibited cell progression and glycolysis of SW1990 and PANC-1 cells. Moreover, SLC7A11 downregulation could be mediated by both circ_0072008 siRNA and miR-545-3p mimic, and participating in suppressive role in cell progression and glycolysis of SW1990 and PANC-1 cells. In mechanism, miR-545-3p was targeted by circ_0072008, and SLC7A11 was target of miR-545-3p. Conclusion Circ_0072088 elicited oncogenic role in malignant cell progression and glycolysis of PDAC cells through circ_0072088/miR-545-3p/SLC7A11 pathway. Highlights Circ_0072088 was upregulated in PDAC tumours and was associated with high tumour burden. Blocking circ_0072088 suppressed cell proliferation, migration, invasion, and glycolysis in PDAC cells. Circ_0072088 could directly regulate miR-545-3p, and SLC7A11 was a target of miR-545-3p. Restoring miR-545-3p mimicked the effects of circ_0072088 knockdown in PDAC cell in vitro.

Identification of two downregulated circRNAs in patients with acute B-lymphocytic leukemia.

Acute B-lymphocytic leukemia (B-ALL) is associated with a high mortality rate, with no effective treatment strategies available. The identification of diagnostic and prognostic biomarkers of B-ALL can contribute to the development of novel therapeutic methods and drugs, which can improve the survival outcomes of patients with B-ALL. The present study aimed to identify downregulated circular RNAs (circRNAs) in patients with B-ALL. RNA sequencing was performed to construct the circRNA expression profiles in B-ALL cells and normal human lymphoblasts. The Database for Annotation, Visualization and Integrated Discovery was used to perform Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses. In addition, reverse transcription-quantitative (RT-q)PCR analysis was performed to detect the expression levels of the downregulated circRNAs. A total of 263 differentially expressed circRNAs were identified, including 76 upregulated and 187 downregulated circRNAs, respectively. The upregulated circRNAs were mainly enriched in ‘macromolecule modification’, ‘protein modification’ and ‘cellular protein modification processes’, while the downregulated circRNAs were mainly enriched in the ‘negative regulation of RNA biosynthetic processes’, ‘natural killer cell-mediated cytotoxicity’ and ‘viral carcinogenesis’. RT-qPCR analysis demonstrated that two of the downregulated circRNAs (hsa_circ_0000745 and chr15:87949594-87966067-), identified during microarray analysis were also significantly downregulated in Ball-1 cells and B-ALL bone marrow samples. Thus, these circRNAs may serve as biomarkers for patients with B-ALL.

Differential expression of circular RNA in patients with white matter hyperintensity and cognitive impairment.

White matter hyperintensity (WMH) is an important factor leading to cognitive impairment, and the mechanism has not been clarified. In recent years, studies have found that circular RNA (circRNA) has differential expression in cerebrovascular diseases. This study aims to analyze the expression profile of circRNA in peripheral blood mononuclear cell (PBMC) of patients with WMH with cognitive impairment, to screen the differentially expressed circRNA, and to explore the possible role of circRNA in WMH with cognitive impairment. CircRNA microarray was used to detect the circRNA expression profile of PBMC in patients with WMH with cognitive impairment, and in patients with WMH without cognitive impairment as well as in normal controls (3 cases each, male to female ratio of 2꞉1). The differentially expressed circRNA in patients with WMH with cognitive impairment was screened. The screening criteria for differentially expressed circRNA was fold change (FC) ≥2.0 (|log2FC ≥1) and P<0.05. TargetScan and miRanda target gene analysis software were used to predict the relevant target miRNA, and Genespring software was used to predict the target genes. Compared with the control group, there were 5 significantly up-regulated circRNA and 3 down-regulated circRNA in the WMH with cognitive impairment group; 8 circRNA were significantly up-regulated and 2 were down-regulated in the WMH without cognitive impairment group. When compared with the WMH with cognitive impairment group, no co-differentially expressed circRNA was found in WMH without cognitive impairment group and control group. Compared with the control group, the expression of hsa_circ_0092222 was up-regulated and the expressions of hsa_circ_0000662 and hsa_circ_0083773 were down-regulated in the WMH with cognitive impairment group and the WMH without cognitive impairment group, and there was no significant difference between the 2 groups (all P>0.05). Two target miRNA (hsa-miR-19a-3p and hsa-miR-19b-3p) of hsa_circ_0092222 were predicted, and the target gene was ribosomal protein S4, Y-linked 1 (RPS4Y1). Hsa_circ_0000662 predicted a target miRNA (hsa-miR-194) with axis inhibitor 1 (AXIN1) as the target gene. Hsa_circ_0083773 predicted 7 target miRNA, and the target gene was recombinant scavenger receptor class A member 3 (SCARA3). The circRNA expression profile of patients with WMH is changed significantly. The differentially expressed circRNA may be the cause of WMH; Hsa_circ_0092222, hsa_circ_0000662, and hsa_circ_0083773 may regulate the expression of target genes by targeting adsorption of the target miRNA, leading to brain white matter damage through Janus kinase 2 (JAK2)/signal transducers and activators of transcription (STAT3) signal pathway and Wnt signal pathway.There is no significant difference in circRNA expression profile between WMH with or without cognitive impairment. Cognitive impairment in patients with WMH may have other reasons.

Tumor Cell-Derived Exosomal Circ-0072088 Suppresses Migration and Invasion of Hepatic Carcinoma Cells Through Regulating MMP-16.

Background: Tumor-derived exosomes (EXOs), commonly differentially expressed in circular RNAs, have been shown to be crucial determinants of tumor progression and may regulate the development and metastasis of hepatic carcinoma (HCC).Methods: Possibly differentially expressed circRNAs in patients with HCC were screened out from the Gene Expression Omnibus (GEO). EXOs were isolated from the culture medium of HCC cells and plasma of patients with HCC, followed by characterization by transmission electron microscope, NanHCCight, and western blotting. Additionally, RNA immunoprecipitation and luciferase reporter gene assays were carried out to explore the molecular mechanism of hsa_circRNA_103809 (circ-0072088) in HCC cells.Results: The screening results showed that circ-0072088 was highly expressed in patients with HCC, and its increase indicated unfavorable prognosis of patients according to quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Additionally, circ-0072088 was mainly secreted by HCC cells via EXOs in plasma of such patients, and its high level in plasma EXOs was closely associated with tumor node metastasis (TNM) staging and tumor size. Moreover, HCC-secreted EXOs mediated the degradation of miR-375 via circ-0072088 and upregulated MMP-16, thus suppressing the metastasis of HCC.Conclusion: Upregulated in patients with HCC, circ-0072088 may be an index for diagnosis and prognosis of HCC. In addition, HCC-derived EXOs coated with circ-0072088 might be a treatment for HCC, with the ability to inhibit the metastasis of HCC cells.

Genome-wide Identification of Differently Expressed lncRNAs, mRNAs, and circRNAs in Patients with Osteoarthritis

Background: Osteoarthritis (OA), one of the most important causes leading to joint disability, was considered as an untreatable disease. A series of genes were reported to regulate the pathogenesis of OA, including microRNAs, Long non-coding RNAs and Circular RNA. So far, the expression profiles and functions of lncRNAs, mRNAs, and circRNAs in OA are not fully understood. Objective: The present study aimed to identify differentially expressed genes in OA. Methods: The present study conducted RNA-seq to identify differentially expressed genes in OA. Ontology (GO) analysis was used to analyze the Molecular Function and Biological Process. KEGG pathway analysis was used to perform the differentially expressed lncRNAs in biological pathways. Results: Hierarchical clustering revealed a total of 943 mRNAs, 518 lncRNAs, and 300 circRNAs, which were dysregulated in OA compared to normal samples. Furthermore, we constructed differentially expressed mRNAs mediated protein-protein interaction network, differentially expressed lncRNAs mediated trans-regulatory networks, and competitive endogenous RNA (ceRNA) to reveal the interaction among these genes in OA. Bioinformatics analysis revealed that these dysregulated genes were involved in regulating multiple biological processes, such as wound healing, negative regulation of ossification, sister chromatid cohesion, positive regulation of interleukin-1 alpha production, sodium ion transmembrane transport, positive regulation of cell migration, and negative regulation of inflammatory response. To the best of our knowledge, this study for the first time, revealed the expression pattern of mRNAs, lncRNAs and circRNAs in OA. Conclusion: This study provided novel information to validate these differentially expressed RNAs may be as possible biomarkers and targets in OA.

Expression profile and diagnostic value of circRNAs in peripheral blood from patients with systemic lupus erythematosus.

Circular RNAs (circRNAs) have gained attention due to their performance in disease diagnosis. However, the characteristics of circRNAs in peripheral blood from patients with systemic lupus erythematosus (SLE) remain unknown. Therefore, the aim of the present study was to determine the expression profile and diagnostic potential of circRNAs in peripheral blood from patients with SLE. The global circRNA expression in the peripheral blood of patients with SLE and healthy controls (HCs) was detected using a circRNA microarray. Then, the expression levels of three upregulated circRNAs were selected for further validation by reverse transcription-quantitative PCR (RT-qPCR) in a training set. Moreover, the diagnostic value of these circRNAs was assessed by constructing a receiver operating characteristic curve, and then verified in a blind testing set. In total, 1,566 circRNAs were identified to be dysregulated between patients with SLE and HCs (≥2 fold change, P<0.05). Furthermore, the RT-qPCR results were consistent with the microarray data, in that all three selected circRNAs, hsa_circ_0082688, hsa_circ_0082689 and hsa_circ_0008675, were significantly upregulated in patients with SLE (P<0.05). Results from the training set demonstrated that the combination of hsa_circ_0082688-hsa_circ_0082689 may provide the most beneficial diagnostic potential. Moreover, the blind test results indicated that the combination model of hsa_circ_0082688-hsa_circ_0082689 could effectively discriminate between patients with SLE from patients with rheumatoid arthritis and HCs, with a sensitivity of 91.30%, a specificity of 78.57% and an accuracy of 82.28%. Moreover, the combination model of hsa_circ_0082688-hsa_circ_0082689 + anti-dsDNA could more effectively discriminated the SLE group from the control groups, with a sensitivity of 95.65%, a specificity of 100.00% and an accuracy of 98.73%. In addition, correlation analysis results suggested that all three circRNAs in patients with SLE did not correlate with the SLE disease activity index. In conclusion, the expression levels of hsa_circ_0082688-hsa_circ_0082689 may serve as potential biomarkers for SLE diagnosis.

Hsa_circNFXL1_009 modulates apoptosis, proliferation, migration, and potassium channel activation in pulmonary hypertension

In this study, we explored the circular RNA (circRNA) profile in pulmonary arterial hypertension (PAH) patients caused by chronic obstructive pulmonary disease (COPD) and the effects of hsa_circNFXL1_009 on abnormal proliferation, apoptosis, and migration of human pulmonary arterial smooth muscle cells (hPASMCs) driven by hypoxia. Using microarrays, we screened the circRNA profile in whole-blood samples from three pairs of subjects and found 158 dysregulated circRNAs in patients with PAH-COPD. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) analysis further validated that hsa_circNFXL1_009 was dramatically downregulated with the highest area under a receiver operating characteristic curve (ROC) in 21 pairs of subjects. Consistently, exposure to hypoxia markedly reduced the hsa_circNFXL1_009 level in cultured hPASMCs. Delivery of exogenous hsa_circNFXL1_009 attenuated hypoxia-induced proliferation, apoptotic resistance, and migration of hPASMCs, as evidenced by immunocytochemistry, 5-ethynyl-2′-deoxyuridine incorporation, wound healing, and a TUNEL (terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick end labeling) assay. A luciferase assay showed that hsa_circNFXL1_009 directly sponged hsa-miR-29b-2-5p (miR-29b) and positively regulated the expression of voltage-gated potassium (K+) channel subfamily B member 1 (KCNB1) at the mRNA level. Using patch-clamp electrophysiology, we proved that overexpression of hsa_circNFXL1_009 promoted a whole-cell K+ current in hPASMCs. Taken together, these studies identify hsa_circNFXL1_009 as a key regulator of PAH, and it may be used as a potential therapeutic target for the treatment of PAH.

Microarray profiling and functional analysis of differentially expressed plasma exosomal circular RNAs in Graves\u2019 disease

BackgroundCirculating RNA (circRNA) regulates various bioactivities in cells. A better understanding of the exosomal circRNA can provide novel insights into the pathogenesis and treatment of Graves’ disease (GD). We aimed to profile the differentially expressed circRNAs (DEcRs) in plasma exosomes of patients with GD and speculate and probe the functions of the DEcR by comprehensive bioinformatics analyses.MethodsSerum exosomes were isolated from five primary GD patients and five healthy controls via ultracentrifugation. After verification with transmission electron microscopy, exosome samples were subjected to microarray profiling using human circRNA microarrays. Two up-regulated and two down-regulated DEcRs were selected for validation in plasma exosomes from 20 GD and 20 healthy control participants using reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR). The circRNA/microRNA/mRNA interaction network was then assembled and the analysis of the Gene Ontology and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways was utilized to predict the potential functions of the DEcR associated genes.ResultsThere were 15 DEcRs revealed in primary GD cases. The intronic circRNA hsa_circRNA_000102 was confirmed as an up-regulated component in plasma exosomes from patients with GD. The circRNA/microRNA/mRNA interaction network unveiled the most potential targeting microRNAs of hsa_circRNA_000102 and its associated genes. The functional analyses predicted involvement of hsa_circRNA_000102 associated genes in pathways of immune system activation, such as viral infection and interferon-beta signaling.Conclusionshsa_circRNA_000102 is a differentially up-regulated plasma exosomal circRNA in patients with GD. Our study highlights multiple pathways, particularly virus infection and interferon-beta signaling, for mediating immune activation in Graves’ disease.

Differential Profile of Plasma Circular RNAs in Type 1 Diabetes Mellitus.

BackgroundNo currently available biomarkers or treatment regimens fully meet therapeutic needs of type 1 diabetes mellitus (T1DM). Circular RNA (circRNA) is a recently identified class of stable noncoding RNA that have been documented as potential biomarkers for various diseases. Our objective was to identify and analyze plasma circRNAs altered in T1DM.MethodsWe used microarray to screen differentially expressed plasma circRNAs in patients with new onset T1DM (n=3) and age-/gender-matched healthy controls (n=3). Then, we selected six candidates with highest fold-change and validated them by quantitative real-time polymerase chain reaction in independent human cohort samples (n=12). Bioinformatic tools were adopted to predict putative microRNAs (miRNAs) sponged by these validated circRNAs and their downstream messenger RNAs (mRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to gain further insights into T1DM pathogenesis.ResultsWe identified 68 differentially expressed circRNAs, with 61 and seven being up- and downregulated respectively. Four of the six selected candidates were successfully validated. Curations of their predicted interacting miRNAs revealed critical roles in inflammation and pathogenesis of autoimmune disorders. Functional relations were visualized by a circRNA-miRNA-mRNA network. GO and KEGG analyses identified multiple inflammation-related processes that could be potentially associated with T1DM pathogenesis, including cytokine-cytokine receptor interaction, inflammatory mediator regulation of transient receptor potential channels and leukocyte activation involved in immune response.ConclusionOur study report, for the first time, a profile of differentially expressed plasma circRNAs in new onset T1DM. Further in silico annotations and bioinformatics analyses supported future application of circRNAs as novel biomarkers of T1DM.

Prognostic role of dysregulated circRNAs in patients with non-small cell lung cancer: a meta-analysis.

BackgroundLung cancer is the leading cause of cancer incidence and mortality. Non-small cell lung cancer (NSCLC) accounts for the vast majority of lung cancer, which lacks comprehensive prognostic biomarkers to predict the prognosis of patients. This research was performed to assess the potential prognostic role of circular RNAs (circRNAs) in patients with NSCLC.MethodsWe searched the following databases: PubMed, Web of Science, Embase, and Ovid MEDLINE(R) up to May 20, 2019 to identify studies which explored the association between circRNAs and NSCLC. Newcastle-Ottawa Scale (NOS) was applied to assess the quality of the included studies. Pooled hazard ratios (HRs) and the corresponding 95% confidence interval (CI) were calculated to assess the prognostic value of circRNAs in patients with NSCLC. Subgroup analyses were performed to explain heterogeneity among the included studies. Publication bias was estimated using Begg’s funnel plot. Sensitivity analysis was performed to test the stability of pooled results.ResultsA total of 19 eligible studies including 1,650 NSCLC patients were included in this research. Pooled results indicated that the up-regulated expression of circRNAs was significantly associated with worse prognosis of patients with NSCLC (HR =2.08, 95% CI: 1.81–2.40).ConclusionsOur finding indicated that circRNAs could serve as prognostic biomarkers in patients with NSCLC. However, further large-scale prospective studies about the clinical significance of circRNAs are of great need in order to obtain conclusive results.

Hsa_circ_0007841: A Novel Potential Biomarker and Drug Resistance for Multiple Myeloma.

Purpose: Circular RNA (circRNA) is a key regulatory factor in the development and progression of human tumors. However, the working mechanism and clinical significance of most circRNAs remain unknown in human cancers, including multiple myeloma (MM).Patients and Methods: This study employs high-throughput circRNA microarray with bioinformatics to identify differentially expressed circRNAs in patients with MM. The hsa_circ_0007841 expressions were observed in the MM tissues of 86 patients. Drug-resistant cell lines and pathological features were also detected. In addition, the relationship between hsa_circ_0007841 expressions in the MM tissues and the pathological features of patients with MM were evaluated and role of hsa_circ_0007841 as a potential biomarker and therapeutic target was assessed.Results: The results show that in the MM cell lines and drug-resistant cell lines, hsa_circ_0007841 expression was significantly upregulated, which was closely associated with disease prognosis. Specifically, hsa_circ_0007841 upregulation was correlated with chromosomal aberrations such as gain 1q21, t (4:14) and mutations in ATR and IRF4 genes. This finding was corroborated in large samples. Finally, bioinformatics analysis showed that eight differentially expressed miRNAs and 10 candidate mRNAs interacted with hsa_circ_0007841, shedding some new light on the basic functional research.Conclusion: This study may be the first to report that hsa_circ_0007841 is significantly upregulated in MM. It also suggests that hsa_circ_0007841 may be a novel biomarker for MM and its involvement in the progression of MM.

CircRNA expression profiles and function prediction in peripheral blood mononuclear cells of patients with acute ischemic stroke.

Most circular RNAs (circRNAs) belong to a novel class of noncoding RNAs that are produced by back-splicing reactions, and they regulate physiological and pathophysiological processes in human disease. Although circRNA expression has been shown to be altered in the ischemic cerebral tissue in animal studies, the expression profile of circRNA in the patients with acute ischemic stroke (AIS) has not been investigated to date. In this investigation, high-throughput sequencing was carried out to compare the circRNA expression of peripheral blood mononuclear cells (PBMCs) from five patients with AIS and five healthy subjects. A total of 521 circRNAs were expressed differentially between the patients with AIS and healthy controls (p < .05, fold difference ≥2) including 373 upregulated circRNAs and 148 downregulated circRNAs in patients with AIS compared to controls. Thirteen candidate circRNAs were verified by quantitative real-time polymerase chain reaction (qRT-PCR). Bioinformatics analyses showed that these differentially expressed circRNAs were highly conserved, as well as eight circRNAs that were confirmed by qRT-PCR containing binding sites to multiple microRNAs. Kyoto Encyclopedia of Genes and Genomes pathway enrichment and gene ontology analyses indicated that the aberrantly expressed circRNAs participated in many pathophysiological processes of AIS, especially regarding inflammation and immunity. In conclusion, patients with AIS differentially express certain circRNAs in PBMCs, which may be diagnostic biomarkers or potential therapeutic targets.

Abnormal expression of circRNA_089763 in the plasma exosomes of patients with post‑operative cognitive dysfunction after coronary artery bypass grafting.

Post-operative cognitive dysfunction (POCD) is a complication of the central nervous system characterized by mental disorders, anxiety, personality changes and impaired memory. POCD occurs frequently after coronary artery bypass grafting (CABG) and can severely affect quality of life for patients. To date, the development of POCD biomarkers remains a challenge. Alterations in the expression of non-coding RNAs from brain tissue and peripheral blood have been linked to POCD. The present study aimed to detect the differential circular RNAs (circRNAs) in plasma exosomes of patients with POCD after CABG. The relative expression levels of circRNAs were analyzed using circRNA microarray analysis in the plasma exosomes of patients with POCD. Differentially altered circRNAs (P<0.05, fold change >1.5) were validated by reverse transcription-quantitative PCR in the plasma exosomes of patients with POCD. The target genes of the microRNAs were predicted using bioinformatics analysis. The functions and signaling pathways of these target genes were investigated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses. The microarray results indicated that the levels of nine circRNAs in patients with POCD were higher than those in the control subjects; and six circRNAs were at a lower level than those in control subjects. The RT-qPCR results from patients with POCD showed that only circRNA_089763 of the 15 circRNAs identified was significantly increased compared with control subjects. circRNA target gene prediction and functional annotation analysis showed significant enrichment in several GO terms and pathways associated with POCD. The present study provides evidence for the abnormal expression of POCD-induced circRNA_089763 in human plasma exosomes, as well as the involvement of POCD.