The microarray identification circular RNA hsa_circ_0105015 up-regulated involving inflammation pathway in essential hypertension

The Role of Circular RNA for Early Diagnosis and Improved Management of Patients with Cardiovascular Diseases

Cardiovascular diseases (CVDs) are responsible for approximately 17.9 million deaths every year. There is growing evidence that circular RNAs (circRNAs) may play a significant role in the early diagnosis and treatment of cardiovascular diseases. As regulatory molecules, circular RNAs regulate gene expression, interact with proteins and miRNAs, and are translated into proteins that play a key role in a wide variety of biological processes, including the division and proliferation of cells, as well as the growth and development of individuals. An overview of the properties, expression profiles, classification, and functions of circRNAs is presented here, along with an explanation of their implications in cardiovascular diseases including heart failure, hypertension, ischemia/reperfusion injury, myocardial infarction, cardiomyopathies, atherosclerosis, and arrhythmia.

Exploring the association between circRNA expression and pediatric obesity based on a case-control study and related bioinformatics analysis

OBJECTIVE

Our present study utilized case-control research to explore the relationship between specific circRNAs and pediatric obesity through a literature review and bioinformatics and to predict their possible biological functions, providing ideas for epigenetic mechanism studies of pediatric obesity.

METHODS

CircRNAs related to pediatric obesity were preliminarily screened by a literature review and qRT-PCR. CircRNA expression in children with obesity (n = 75) and control individuals (n = 75) was confirmed with qRT-PCR in a case-control study. This was followed by bioinformatics analyses, such as GO analysis, KEGG pathway analysis, and ceRNA network construction. Multivariate logistic regression was utilized to analyze the effects of circRNAs on obesity. A receiver operating characteristic (ROC) curve was also drawn to explore the clinical application value of circRNAs in pediatric obesity.

RESULTS

Has_circ_0046367 and hsa_circ_0000284 were separately validated to be statistically downregulated and upregulated, respectively, in the peripheral blood mononuclear cells of children with obesity and revealed as independent indicators of increased CHD risk [hsa_circ_0046367 (OR = 0.681, 95% CI: 0.480 ~ 0.967) and hsa_circ_0000284 (OR = 1.218, 95% CI: 1.041 ~ 1.424)]. The area under the ROC curve in the combined analysis of hsa_circ_0046367 and hsa_circ_0000284 was 0.706 (95% CI: 0.623 ~ 0.789). Enrichment analyses revealed that these circRNAs were actively involved in neural plasticity mechanisms, cell secretion and signal regulation.

CONCLUSION

The present research revealed that low expression of hsa_circ_0046367 and high expression of hsa_circ_0000284 are risk factors for pediatric obesity and that neural plasticity mechanisms are closely related to obesity.

Circular RNAs and inflammation: Epigenetic regulators with diagnostic role

Circular RNAs (circRNAs) are a group of transcripts generally known to be non-coding transcripts, but occasionally producing short peptides. Circ_Ttc3/miR-148a, circ_TLK1/miR-106a-5p, circ_VMA21/miR-9-3p, circ_0068,888/miR-21-5p, circ_VMA21/miR-199a-5p, circ_AFF2/miR-375, circ_0008360/miR-135b-5p and circ-FBXW7/miR-216a-3p are examples of circRNA/miRNA pairs that contribute in the pathogenesis of immune-related conditions. CircRNAs have been found to regulate function of immune system and participate in the pathophysiology of immune-related disorders. In the current study, we searched PubMed and Google Scholar databases until July 2022 with the key words "circRNA" OR "circular RNA" AND "inflammation". Then, we assessed the abstract of retrieved articles to include original articles that assessed contribution of circRNAs in the pathoetiology of inflammation and related disorders. Finally, we went through the main texts of the articles and tabulated the available information. Therefore, the current study summarizes the role of circRNAs in the pathoetiology of sepsis, atherosclerosis, rheumatoid arthritis and osteoarthritis, immune-related cardiovascular, pulmonary, gastrointestinal and nervous system disorders.

The Landscape of Circular RNAs in Cardiovascular Diseases

Cardiovascular disease (CVD) remains the leading cause of mortality globally. Circular RNAs (circRNAs) have attracted extensive attention for their roles in the physiological and pathological processes of various cardiovascular diseases (CVDs). In this review, we briefly describe the current understanding of circRNA biogenesis and functions and summarize recent significant findings regarding the roles of circRNAs in CVDs. These results provide a new theoretical basis for diagnosing and treating CVDs.

Circular RNAs as a Diagnostic and Therapeutic Target in Cardiovascular Diseases

Circular RNAs (circRNAs) are a family of noncoding RNAs (ncRNAs) that are endogenous and widely distributed in different species, performing several functions, mainly their association with microRNAs (miRNAs) and RNA-binding proteins. CVDs remain the leading cause of death worldwide; therefore, the development of new therapies and strategies, such as gene therapies or nonpharmacological therapies, with low cost, such as physical exercise, to alleviate these diseases is of extreme importance for society. With increasing evidence of ncRNA participating in the progression of CVDs, several studies have reported these RNAs as promising targets for diagnosis and treatment. There are several studies of CVDs and the role of miRNAs and lncRNAs; however, little is known about the new class of RNAs, called circRNAs, and CVDs. In this mini review, we focus on the mechanisms of circRNAs and CVDs.

An Overview of the Advances in Research on the Molecular Function and Specific Role of Circular RNA in Cardiovascular Diseases

In recent years, the rate of residents suffering from cardiovascular disease (CVD), disability, and death has risen significantly. The latest report on CVD in China shows that it still has the highest mortality rate of all diseases in that country. Different from linear RNA, circular RNA (circRNA) is a covalently closed transcript, mainly through reverse splicing so that the 3′end and the 5′end are covalently connected to form a closed loop structure. It is structurally stable and abundant and has distinct tissue or cell specificity, and it is widely distributed in eukaryotes. Although circRNAs were discovered many years ago, researchers have only recently begun to slowly discover their extensive expression and regulatory functions in various biological processes. Studies have found that some circRNAs perform multiple functions in cells more used as RNA binding protein or microRNA sponge. In addition, accumulating evidence shows that the first change that occurs in patients with various metabolic diseases such as hypertension and cardiovascular disease is dysregulated circRNA expression. For cardiovascular and other related blood vessels, circRNA is one of the important causes of various complications. These findings contribute to a more comprehensive understanding and grasp of CVD, and the related molecular mechanisms of CVD should be further analyzed. Here, we review the new understanding of circRNAs in CVD and explain the role of these innovative biomarkers in the analysis and determination of other related cardiovascular events such as coronary heart disease. Thus, this study is aimed at providing new ideas and proposing more feasible medical research strategies based on circRNA.

Emerging Roles of Extracellular Vesicle-Delivered Circular RNAs in Atherosclerosis

Atherosclerosis (AS) is universally defined as chronic vascular inflammation induced by dyslipidaemia, obesity, hypertension, diabetes and other risk factors. Extracellular vesicles as information transmitters regulate intracellular interactions and their important cargo circular RNAs are involved in the pathological process of AS. In this review, we summarize the current data to elucidate the emerging roles of extracellular vesicle-derived circular RNAs (EV-circRNAs) in AS and the mechanism by which EV-circRNAs affect the development of AS. Additionally, we discuss their vital role in the progression from risk factors to AS and highlight their great potential for use as diagnostic biomarkers of and novel therapeutic strategies for AS.

Peripheral Blood circRNA Microarray Profiling Identities hsa_circ_0001831 and hsa_circ_0000867 as Two Novel circRNA Biomarkers for Early Type 2 Diabetic Nephropathy

PURPOSE

Type 2 diabetes mellitus (T2DM) increases the incidence of diabetic nephropathy (DN) and eventually progresses to end-stage renal disease. Circular RNAs (circRNAs) are a class of non-coding RNAs that are promising as diagnostic biomarkers and therapeutic targets for human diseases. The aim of this study was to analyze the differential expression of circRNAs (DECs) in peripheral blood from patients with early type 2 diabetic nephropathy (ET2DN), T2DM and controls, which will facilitate to discover some new biomarkers for ET2DN.

PATIENTS AND METHODS

Twenty ET2DN patients, 20 T2DM patients, and 20 normal controls were included in this study. Blood samples from 3 random subjects of age- and sex-matched patients in each group, respectively, were used to detect circRNA expression profiles by circRNA microarray, and the circRNA expression of remaining subjects was validated by real-time quantitative polymerase chain reaction (qRT-PCR). Further functional assessment was performed by bioinformatic tools.

RESULTS

There were 586 DECs in ET2DN vs T2DM group (249 circRNAs were upregulated and 337 circRNAs were downregulated); 176 circRNAs were upregulated and 101 circRNAs were downregulated in T2DM vs control group; 57 circRNAs were upregulated and 5 circRNAs were downregulated in ET2DN vs control group. The functional and pathway enrichment of DECs were analyzed by GO and KEGG. qRT-PCR results revealed that hsa_circ_0001831 and hsa_circ_0000867 were significantly upregulated in ET2DN group compared to both of T2DM and control group. The ROC curve demonstrated that hsa_circ_0001831 and hsa_circ_0000867 have high sensitivity and specificity associated with ET2DN.

CONCLUSION

Our study showed the expression profiles of circRNAs in ET2DN patients and demonstrated that hsa_circ_0001831 and hsa_circ_0000867 can be used as novel diagnostic biomarkers for ET2DN.

Hsa_circ_0003195 as a biomarker for diagnosis and prognosis of gastric cancer

PURPOSE

Recent studies have shown that circular RNAs (circRNAs) are closely related to the occurrence and development of gastric cancer. In this paper, we analyzed the value of hsa_circ_0003195 in diagnosis and prognosis of gastric cancer.

METHODS

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to determine the level of hsa_circ_0003195 in 100 paired gastric cancer tissues and paracancerous tissues, 74 paired fasting plasma from gastric cancer patients before and 10 days after operation, and 74 fasting plasmas from healthy controls. A receiver operating characteristic (ROC) curve was generated to evaluate the diagnostic value. The survival analysis and Cox proportional-hazards model were used to evaluate the efficiency of hsa_circ_0003195 in predicting overall survival (OS) in patients with gastric cancer.

RESULTS

The expression of hsa_circ_0003195 was down-regulated in gastric cancer tissues and plasma from patients with gastric cancer. The expression level of hsa_circ_0003195 was correlated with differentiation, TNM stages, lymphatic metastasis, and distal metastasis. The area under the ROC curve (AUC) of tissue and plasma hsa_circ_0003195 was 0.684 and 0.695, respectively. The plasma hsa_circ_0003195 can be used as predictors of survival of patients with gastric cancer.

CONCLUSION

Hsa_circ_0003195 may be a new diagnostic and prognostic marker of gastric cancer.

Dysregulation of miR-637 serves as a diagnostic biomarker in patients with carotid artery stenosis and predicts the occurrence of the cerebral ischemic event

The present research aims to explore the relationship between circulating microRNA and carotid artery stenosis (CAS). To evaluate the diagnostic significance of miR-637 in CAS patients and its potential predictive value for cerebral ischemia events through clinical studies. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to verify the differences in serum miR-637 between enrolled 97 CAS patients and 90 healthy individuals. Logistic regression analysis of the correlation between the level of miR-637 and the degree of carotid artery stenosis. The receiver operating characteristic (ROC) curve evaluated the diagnostic significance of miR-637 in identifying CAS patients from healthy individuals. Kaplan-Meier survival and Cox regression were used to evaluate the potential predictive ability of serum miR-637 levels during follow-up for cerebral ischemia events. Serum miR-637 of CAS patients was significantly reduced which was a good indicator of severe carotid stenosis (P < 0.001). Reduced miR-637 can identify CAS patients from healthy individuals, demonstrating strong diagnostic capabilities. Furthermore, Kaplan-Meier analysis confirmed that the lower miR-637 levels in CAS, the more cerebral ischemia events (log-rank, P = 0.035), and the Multivariate Cox regressions confirmed that miR-637 was an independent predictor of CAS patients (HR = 0.073, 95%CI = 0.017–0.313, P < 0.001). We confirmed that serum miR-637 in CAS patients was significantly reduced. And reduced miR-637 was not only a potentially reliable biomarker for the diagnosis of CAS but also a useful indicator for predicting future cerebral ischemic events.

The potential role of RAAS-related hsa_circ_0122153 and hsa_circ_0025088 in essential hypertension

Background: The dysregulation of renin-angiotensin-aldosterone system (RAAS) is closely related to the development of essential hypertension (EH). MicroRNAs (miRNAs) are an important regulator of RAAS. The sponge effect of circular RNAs (circRNAs) on miRNAs makes the circRNA-miRNA-mRNA axis in EH possible, however, there is currently a lack of relevant evidence.Material and Methods: A circRNA-miRNA network was constructed based on the previous circRNAs microarray results. The expression of RAAS-related miRNAs and circRNAs were verified by qRT-PCR. Peripheral blood samples of 106 EH patients and 106 healthy volunteers were included in this study. GO and KEGG enrichment were performed to predict the role of candidate circRNAs in EH.Results: In EH patients, RAAS-related hsa-miR-483-3p and hsa-miR-27a-3p were down-regulated, and hsa_circ_0122153 and hsa_circ_0025088 were up-regulated. The relative expression of RAAS-related circRNAs and target miRNAs showed a negative correlation (hsa_circ_0122153-hsa-miR-483-3p and hsa_circ_0025088-hsa-miR-27a-3p). Hsa_circ_0122153 or hsa_circ_0025088 combined with corresponding miRNAs and environmental factors may support the early diagnosis of EH. Hsa_circ_0122153 and hsa_circ_0025088 may participate in the regulation of aldosterone and the secretion of renin through the circRNA-miRNA-mRNA network, respectively.Conclusion: Highly expressed hsa_circ_0122153 and hsa_circ_0025088 increase the risk of EH. The hsa_circ_0122153/hsa-miR-483-3p and hsa_circ_0025088/hsa-miR-27a-3p axis involving RAAS were potential EH pathways.

The microarray identification circular RNA hsa_circ_0105015 up-regulated involving inflammation pathway in essential hypertension

Background

Essential hypertension (EH) is an inflammatory disease, and endothelial dysfunction induced by chronic inflammation is one of the pathogeneses of EH. The expression of some inflammatory mediators may be regulated by the interaction of circular RNAs (circRNAs) and microRNAs (miRNAs).

Methods

An Agilent human circRNA microarray was used to identify the expression profile of circRNAs in EH. qRT‐PCR was used to evaluate the relative expression of circRNAs in 48 pairs of human whole blood samples (sex and age ± 3 years matched) and endothelial cells. TNF‐α was applied to induce endothelial cells inflammation. CircRNA‐miRNA network was predicted by MiRanda software.

Results

There were 287 circRNAs differentially expressed in the microarray. The top 10 up‐regulated circRNAs in the EH group were hsa_circ_0014243, hsa_circ_0133228, hsa‐circRNA14116‐3, hsa_circ_0079536, hsa‐circRNA13649‐1, hsa_circ_0117886, hsa_circ_0007075, hsa‐circRNA15285‐1, hsa‐circRNA10088‐9, and hsa‐circRNA14119‐10; the top 10 down‐regulated circRNAs were hsa_circ_0100094, hsa_circ_0127342, hsa_circ_0093773, hsa_circ_0096334, hsa_circ_0131618, hsa_circ_0063886, hsa_circ_0097804, hsa_circ_0126640, hsa‐circRNA8935‐1, and hsa_circ_0039978 (fold change in descending order). Hsa_circ_0105015 has two predicted binding sites with hsa‐miR‐637. The relative expression of hsa_circ_0105015 in EH patients was significantly higher than healthy controls (P = .002), and similar results appeared in TNF‐α‐induced endothelial cells. The area under the curve after hsa_circ_0105015 combined with hsa‐miR‐637 was 0.703, P < .001.

Conclusion

Hyperexpression of hsa_circ_0105015 is a significant risk factor of EH and its association with EH involves inflammatory pathways. Hyperexpression of hsa_circ_0105015 combined with hypoexpression of hsa‐miR‐637 indicates vascular inflammation or endothelial dysfunction and has potential as a biomarker for early diagnosis of EH.