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REVIEW article

Front. Cardiovasc. Med., 26 November 2024
Sec. General Cardiovascular Medicine

CircRNA-mediated regulation of cardiovascular disease

\r\nKe-yun ChengKe-yun Cheng1Si-wei WangSi-wei Wang1Tian LanTian Lan1Zhu-jun MaoZhu-jun Mao2You-yao Xu,You-yao Xu1,3Qing Shen
Qing Shen1*Xi-xi Zeng,
\r\nXi-xi Zeng1,3*
  • 1Panvascular Diseases Research Center, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China
  • 2College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
  • 3Department of Cardiovascular Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China

Cardiovascular diseases (CVDs) encompass a range of disorders affecting the heart and blood vessels, such as coronary heart disease, cerebrovascular disease (e.g., stroke), peripheral arterial disease, congenital heart anomalies, deep vein thrombosis, and pulmonary embolism. CVDs are often referred to as the leading cause of mortality worldwide. Recent advancements in deep sequencing have unveiled a plethora of noncoding RNA transcripts, including circular RNAs (circRNAs), which play pivotal roles in the regulation of CVDs. A decade of research has differentiated various circRNAs by their vasculoprotective or deleterious functions, revealing potential therapeutic targets. This review provides an overview of circRNAs and a comprehensive examination of CVDs, the regulatory circRNAs within the vasculature, and the burgeoning research domain dedicated to these noncoding RNAs.

1 Introduction

Cardiovascular disease (CVD) remains a predominant cause of mortality globally, imposing significant economic strain on healthcare systems. The “China Cardiovascular Disease Health and Illness Report 2021” delineates a staggering figure of 330 million individuals grappling with cardiovascular ailments in China. Concurrently, data extracted from NHANES (2017 to March 2020) indicates a prevalence rate of cardiovascular diseases (encompassing coronary heart disease, heart failure, stroke, and hypertension) at 48.6% among adults aged 20 and above in the United States, which translates to an estimated 127.9 million affected individuals in 2020, with a noted increment correlating with advancing age across both genders (1). Extensive scientific and clinical research efforts are directed towards improving the diagnosis, treatment, and prognosis of CVD. Despite these efforts, there remains a substantial gap in the availability of effective therapeutic interventions.

Chronic diseases such as diabetes and hypertension often share etiological risk factors, laying a common pathogenic groundwork that is closely linked with CVDs, including endocrine abnormalities. Advancements in RNA sequencing and bioinformatics have highlighted circRNAs as pivotal players in biological processes like carcinogenesis, angiogenesis, and immune responses, positioning them as promising biomarkers and therapeutic targets (2). Recent research has extended circRNA studies to CVDs, revealing their diverse roles: circSCMH1 has been implicated in enhancing vascular repair through FTO-mediated m6A methylation of Plpp3 following stroke (3); circMET silencing has been shown to suppress tip cell specialization and retinal angiogenesis (4), and hsa_circ_0076631 has been reported to modulate caspase-1-induced pyroptosis via miR-214-3p targeting in diabetic cardiomyopathy (DCM) (5). Furthermore, the knockdown of circRNA circ_0071269 has been demonstrated to confer protection against DCM through the microRNA-145/gasdermin A axis.

In our comprehensive review, we provide an overview of circRNAs and delineate the spectrum of CVDs, with a focus on the modulatory impact of circRNAs on these conditions. We delve into the molecular intricacies of circRNA-mediated regulation in vascular pathology and critically evaluate emerging insights into their diagnostic and therapeutic potential. Our synthesis aims to deepen the understanding of CVDs and propose innovative therapeutic avenues to mitigate the global burden of blindness.

2 Overview of CircRNAs

2.1 CircRNA biogenesis

In eukaryotes, most circRNAs are formed through back-splicing (6, 7). This process is facilitated by inverted Alu repeats or complementary sequences in the introns flanking the circularized exon, which bring the downstream 5′ splice site close to the upstream 3′ splice site, thereby promoting intron pairing and back-splicing (8, 9). A single gene can generate multiple circRNAs via selective back-splicing at various 5′ and 3′ splice sites (10). In a study of mouse heart tissue, 1,283 unique circRNAs were discovered across six samples (11). Roughly half of these host genes produced only one type of circRNA, while the others generated between two and nine variants. The titin gene was particularly notable, producing 38 distinct circRNAs through complex splicing events in its I-band region (11). CircRNAs are classified by composition: exonic circRNAs (EcircRNAs) contain only exons, while exon–intron circRNAs (EIciRNAs) include both exons and introns. In eukaryotic cells, circRNAs are generated by the interaction of intron pairing, RNA-binding proteins (RBPs), lariat structures, and TSEN-RtcB-mediated circularization. Despite their diversity, all circRNAs share a key feature: they lack a covalently closed circular structure with a 5′ cap and a 3′ poly(A) tail. This absence results in circRNAs having longer half-lives (19–24 h) compared to their linear counterparts (4–7 h) that share the same nucleotide sequence (12).

2.2 The molecular functions of circRNAs

Eukaryotic cells express thousands of distinct circRNAs, which are increasingly recognized for their diverse molecular functions, such as acting as miRNA sponges, regulating protein activity, and serving as templates for protein synthesis (13).

CircRNAs can sequester miRNAs by base-pairing with them, thus preventing these miRNAs from binding to their target mRNAs and mediating gene silencing. This “sponge” function allows mRNAs to evade miRNA-induced regulation. For instance, CDR1as (ciRS-7) is abundant in human and mouse brains and acts as a miRNA sponge (14). Similarly, circ-ITCH sequesters miR-7, miR-20a, and miR-214 (15), while circ-DAB1 targets miR-1270 and miR-944 (16). Other examples include circCCDC66, which absorbs miR-33b and miR-93, circ-Foxo3, which binds eight distinct miRNAs, and circHIPK3, which provides binding sites for nine different miRNAs (17). The sponging activity of circRNAs can vary depending on the tissue or cell type. For example, CircSLC8A1 sponges miR-130b and miR-494 in bladder cancer (18) and miR-133a in cardiac hypertrophy (19). CircZNF609 similarly acts on different miRNAs, sponging miR-615-5p in retinal cells (20) and miR-150-5p in megacolon (21).

Beyond miRNA sponging, circRNAs can regulate protein functions by acting as baits, adapters, scaffolds, or sponges (22). Their roles include (i) regulating transcription or splicing via R-loop formation, (ii) maintaining stem cell properties or inhibiting PKR through short hairpin structures, (iii) modulating gene activity by isolating or competing with proteins, (iv) altering bioactivity by forming complexes with proteins, and (v) serving as templates for protein synthesis.

CircRNAs lack the 5′ cap and 3′ poly(A) tail characteristic of most mRNAs, necessitating internal ribosome entry for translation initiation. Recent studies support the internal initiation of translation on circRNAs (23). For instance, the untranslated region (UTR) of circZNF609 acts as an internal ribosome entry site (IRES), functioning in a splicing-dependent manner, differing from traditional IRES elements (24). Additionally, Pamudurti et al. found that circMbl undergoes cap-independent translation, with both its UTR and reverse complement facilitating this process, indicating that RNA structure, not sequence, may drive internal initiation (25). Zhang et al. identified circPINT exon2, a circRNA from a long non-coding RNA, which contains an IRES enabling translation of a short 87 amino acid open reading frame (ORF) (26).

Future research is expected to reveal even broader roles for circRNAs, expanding our understanding of their molecular functions.

3 Overview of cardiovascular diseases

3.1 Cardiovascular diseases

As the principal cause of death worldwide, CVD imposes a significant health burden, with its prevalence and mortality escalating, especially among those over 40 (27). In 2020, CVD was responsible for approximately 19.05 million deaths globally, an increase of 18.71% since 2010 (1). Interventions targeting vascular risk factors and curtailing the progression of atherosclerosis have been shown to decrease coronary events, thereby diminishing the long-term incidence of cardiovascular mortality and terminal heart disease. Atherosclerosis underpins CVDs and is driving a surge in the incidence, prevalence, and mortality of atherosclerotic cardiovascular disease (ASCVD) within the Chinese demographic (28). Atherosclerosis (AS) is characterized by ischemic lesions resulting from lipid accumulation on the luminal surface of arterial vessels, driven by elevated blood lipid levels. This process leads to morphological alterations of the vessel's inner wall, culminating in luminal narrowing or occlusion. Atherosclerosis progresses through four distinct stages. Stage I (fatty streak stage) is marked by the appearance of yellowish spots or streaks, approximately 1–2 mm wide, on the arterial intima, which may be flat or slightly elevated. Stage II (fibrous plaque stage) involves the continued deposition of lipids, including phospholipids, lipoproteins, and cholesterol, leading to the enlargement and softening of these streaks into plaques. Stage III (atheromatous plaque stage) is characterized by the development of gray-yellow plaques that elevate the endothelial surface, eventually becoming porcelain-white due to increased collagen fiber deposition and vitreous degeneration. Stage IV (complicated lesion stage) involves the rupture of newly formed capillaries within the plaque, resulting in intraplaque hemorrhage and acute luminal obstruction. This stage may also feature surface necrosis, ulceration, calcification, and thrombosis, leading to organ ischemia and dysfunction. Additionally, the weakening of the medial smooth muscle beneath the plaque can result in aneurysm formation, with potential rupture causing hemorrhage.The pathogenesis of AS is multifaceted, encompassing genomic and proteomic factors, homocysteine accumulation, inflammatory responses, oxidative stress, lipid infiltration, and thrombosis.

3.2 Cerebrovascular diseases

Cerebrovascular diseases, which disrupt cerebral blood flow, manifest acutely as strokes—sudden events precipitated by vessel rupture or blockage leading to brain damage. Severity ranges from recoverable dysfunction to coma, death, or persistent disability, predominantly afflicting those over 40 (29), though young adults are not exempt, particularly from cerebral embolism and subarachnoid hemorrhage (30, 31). Risk factors such as emotional stress (32), overwork (33), blood pressure variability (34), dehydration (35), and certain medical conditions have been implicated, with hypertension, heart disease, hyperlipidemia, and alcohol intake being primary contributors (36). Hypertension management is pivotal for cerebrovascular disease control. The GBD 2019 study reveals increasing stroke occurrences, yet a decline in age-standardized incidence rates (37). A higher Life's Simple 7 score correlates with diminished dementia risk, and cardiovascular disease burden inversely affects cognitive impairment-free life expectancy across ages (38).

3.3 Peripheral vascular disease

Peripheral vascular disease, while less prominent in vascular disease discourse than its cardiovascular and cerebrovascular counterparts, demands equal attention due to its prevalence and shared systemic etiology with coronary artery disease. This commonality extends to pathogenic factors and therapeutic strategies. A comparative analysis of MarketScan and Medicare data indicates a discrepancy in clinical management: patients with peripheral artery disease (PAD) are less frequently prescribed statins and are less likely to achieve LDL-C targets below 70 mg/dl than those with coronary artery disease (39). Additionally, in individuals aged 60 to 74, risk factors such as male sex, hypertension, and family history significantly influence the incidence of thoracic aortic aneurysm (40).

3.4 Microangiopathy

Microvessels play a crucial role in maintaining human health, serving as essential conduits for blood transport and facilitating the exchange of materials between blood and tissues. The structural and functional integrity of microvessels is vital for the optimal performance of organs such as the heart, brain, and kidneys. Microvascular damage represents a systemic pathology, underpinning the development of cardiovascular, cerebrovascular, and renal diseases. Protecting microvascular endothelial cells is central to addressing microvascular lesions, forming a cornerstone in the prevention and treatment of major conditions like cardiovascular diseases, cerebrovascular disorders, and diabetes mellitus. The progression of microangiopathy typically involves initial functional changes in microcirculation, followed by endothelial damage (41) and basement membrane thickening (42). These alterations lead to morphological changes in microvessels, including twisting, malformation, and knotting. Additionally, direct damage from bacteria and endotoxins can result in microaneurysm formation. Concurrently, microvascular walls become rough, lumens narrow, elasticity diminishes, and vasodilation occurs. These changes, coupled with metabolic abnormalities such as increased blood viscosity, lead to blood flow stagnation, cell aggregation, and pronounced exudation or hemorrhage, increasing the fragility of microvascular walls.

4 Risk factors for cardiovascular diseases

Each year, the heart association aggregates vital statistics concerning heart disease, stroke, and associated cardiovascular risk factors, offering a comprehensive overview of key health behaviors and metrics. This data set includes critical determinants of cardiovascular health such as blood pressure, dietary habits, cholesterol profiles, glucose regulation, and extends to encompass health-related factors like smoking status, physical activity levels, and body weight, underscoring their collective impact on cardiovascular outcomes. Hypertension inflicts vascular damage through a triad of mechanisms: acute hypertensive episodes precipitate endothelial injury, potentially triggering aortic dissection and vessel rupture; sustained hypertension fosters arterial wall deterioration, atherogenesis, plaque instability, occlusion, and thrombotic events; and persistent elevations in blood pressure provoke microvascular changes, including mesangial expansion, arteriolar hyperplasia, and luminal narrowing, thereby exacerbating the hypertensive state. Furether more, In the United States, diabetes was diagnosed in 10.6% of adults from 2017 to 2020, with peripheral arterial disease and heart failure emerging as the most common initial CVD manifestations in this cohort (1). DM serves as an independent predictor for CVD, which is now the leading cause of death there as of 2022 (43). Notably, lipid-lowering and antihypertensive interventions demonstrate greater efficacy in ameliorating macrovascular complications than glycemic management alone. Empirical evidence establishes a direct link between cigarette smoke exposure and heightened CVD risk, with even minimal exposure and secondhand smoke carrying considerable risk (44, 45). And Chronic kidney disease (CKD) affects over 10% of the global adult population and markedly elevates the risk of cardiovascular disease (CVD), the leading cause of mortality in CKD patients. In 2017, CKD accounted for 1.2 million deaths and contributed to 35 million disabilities worldwide, when adjusted for years of life lost (46). Furthermore, perceived discrimination has been implicated in the onset of gestational diabetes among pregnant women, with obesity partially mediating this relationship. In a paradoxical finding, higher self-reported scores on sleep health were linked to increased heart disease risk (47).

5 CirRNAs and cardiovascular diseases

Mounting evidence underscores the significance of circRNAs in the pathophysiology of cardiovascular diseases, where they modulate essential cellular processes such as proliferation, survival, and programmed cell death. The multifaceted roles of circRNAs, from influencing angiogenesis to maintaining vascular homeostasis, position them as potential biomarkers and therapeutic targets in cardiovascular diseases management. This review delves into the intricate ways circRNAs contribute to both vascular quiescence and neovascularization, asserting their profound impact on the diagnostic and therapeutic landscape of cardiovascular diseases, as comprehensively catalogued in Table 1.

Table 1
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Table 1. Experimental certificated functions of circRNAs in CVDs.

5.1 Roles of circRNAs in cardiovascular disease

Cardiovascular disease stands as the principal cause of mortality worldwide, with its incidence and fatality rates escalating post-40 years of age. At the cellular level of cardiac and vascular tissues, stem cells undergo proliferation and differentiation to give rise to precursor cells, which subsequently differentiate into the major cell types of the heart and blood vessels, including cardiomyocytes, smooth muscle cells, cardiac fibroblasts, and endothelial cells, thus forming the foundational components of the cardiovascular system. Cardiovascular disease encompasses a spectrum of conditions affecting the function of the heart and blood vessels, with primary types including coronary heart disease (involving the vessels supplying the myocardium and leading to angina pectoris and myocardial infarction/heart failure due to compromised myocardial perfusion, accounting for a significant proportion of cardiovascular disease cases), cerebrovascular disease (involving vessels supplying the brain, encompassing stroke and transient ischemic attacks), peripheral arterial obstructive disease (involving arterial disease in the extremities), rheumatic heart disease (resulting from damage to the heart muscle and valves due to rheumatic fever caused by streptococcus bacteria), congenital heart disease (comprising structural malformations present at birth), deep vein thrombosis and pulmonary embolism (involving the presence of blood clots in the leg veins that can dislodge and migrate to the heart and lungs), and aortic coarctation (encompassing thoracic and abdominal aortic aneurysms). The risk factors for these diseases are closely associated with genetic or environmental factors, in addition to age, lifestyle, and metabolic disorders. Recent insights highlight the pivotal functions of circRNAs and their modulatory mechanisms in the CVD landscape, suggesting novel molecular underpinnings and potential therapeutic targets.

5.1.1 Coronary heart disease

Coronary heart disease, formally known as coronary atherosclerotic heart disease and often referred to as ischemic heart disease, arises from atherosclerosis in the coronary arteries, resulting in myocardial ischemia and hypoxia. The coronary arteries, named for their crown-like shape, are the sole blood vessels supplying blood to the heart. Atherosclerotic changes in these arteries, consistent with systemic vascular hardening, lead to impaired blood circulation to the myocardium, manifesting as myocardial ischemia and hypoxia, which are hallmark features of coronary heart disease. CircRNAs have gained prominence as potential non-invasive biomarkers for CHD diagnosis and prognosis. Recent studies have also explored hsa_circ_0001445 levels in peripheral blood leukocytes (PBLs) of CHD patients, examining its association with clinical features (81). Additionally, differential expression of hsa_circRNA_0000284 in PBLs from CHD patients compared to healthy individuals suggests its involvement in the regulation of vascular smooth muscle cell proliferation, a key aspect of CHD pathogenesis (60, 61). Concurrently, circRNAs have been proposed as predictive biomarkers for the efficacy of Xue-Fu-Zhu-Yu capsules in coronary heart disease (82). The circRNA_0031672/miR-21-5p/PDCD4 axis is implicated in mitigating ischemia/reperfusion injury in myocardial cells (83).

5.1.2 Coronary artery disease

Coronary artery disease (CAD), primarily resulting from atherosclerosis-induced reduction in coronary blood flow, is the leading cause of mortality in both men and women, responsible for approximately one-third of all deaths globally (84). This burden is particularly pronounced in resource-limited regions. The mortality rate from CAD is approximately five times higher in men than in women, although this disparity diminishes with advancing age (85). For instance, circRNAs such as hsa_circ_0089378 and hsa_circ_0126672 have been implicated in the post-transcriptional enhancement of gene expression through miRNA sequestration in CAD contexts (62, 63). Others, including hsa_circ_0000280 and circ-SATB2, are identified as modulators of vascular smooth muscle cell proliferation, a critical process in vascular remodeling (60, 61). Moreover, hsa_circ_0030042 emerges as a stabilizing factor against aberrant autophagy in endothelial cells via the MiR-616-3p/RFX7 Axis, thereby promoting plaque stability (64). Bioinformatics approaches have underscored these circRNA expression alterations in CAD (86, 87), highlighting the necessity for rigorous functional analyses and elucidation of underlying mechanisms (88, 89). Additionally, small extracellular vesicle-derived circRNAs are emerging as gene expression regulators and CAD risk predictors (65). Research into m6A-modified circRNAs has furthered our understanding of their role as potential CAD biomarkers (90, 91). Lastly, circRNA-3302 has been associated with endothelial-to-mesenchymal transition in Kawasaki disease, which may predispose patients to coronary artery aneurysms (92).

5.1.3 Cardiomyopathy

Myocardial fibrosis (MF), a key pathological component of hypertension, myocardial infarction, and heart failure, has been increasingly associated with the regulatory role of circRNAs. Recent research, such as that conducted by Ma et al. (66), underscores the influence of circ_0002295 on MF progression via modulation of the miR-1287/CXCR2 axis. These findings not only enhance our understanding of MF pathogenesis but also highlight the potential of circRNA-targeted strategies for MF management.

Dilated Cardiomyopathy (DCM) is defined by the enlargement of the left, right, or both ventricles, accompanied by myocardial hypertrophy. This condition results in impaired ventricular systolic function, which may occur with or without the presence of congestive heart failure. Recent studies have illuminated the role of circRNAs in DCM, with Dong et al. (93) identifying 58 differentially expressed circRNAs in BKS-db/db knockout mice heart tissues, and Costa et al. (94) finding four highly expressed circRNAs in DCM patient plasma samples. Yuan Q et al. (67) proposed circDICAR and its derivative, DICAR-JP, as potential DCM therapeutics, functioning through the degradation of DICAR-VCP-Med12. Shao et al. (68) underscored the importance of the ALKBH5-FOXO3-circ CDR1as/Hippo pathway and m6A methylation in DCM. Yang F et al. (69) highlighted the therapeutic potential of the CACR/miR-214-3p/caspase-1 pathway, while Shen et al. (70) showed that CircMAP3K5 exacerbates high glucose-induced cardiomyocyte apoptosis via the miR-22-3p/DAPK2 axis. In hypertrophic cardiomyopathy (HCM), Guo et al. (95) identified hsa_circ_0043762, hsa_circ_0036248, and hsa_circ_0071269 as potential key regulators, and Liu T et al. (96) implicated hsa-circRNA-100053-hsa-miR-455-5p-TRPV1 and hsa-circRNA-005843-hsa-miR-188-5p-SPON1 interaction pairs in atrial fibrillation (AF) pathophysiology.

In the quest to elucidate the molecular underpinnings of cardiovascular diseases, several studies have shed light on the significance of circRNAs. Zheng et al. (97) profiled circRNA expression alterations tied to autophagy in a mouse model of acute sepsis, revealing potential regulatory mechanisms. Zhu J et al. (98) uncovered the role of EV-circITGB1 in dendritic cell maturation and subsequent cardiac damage through the miR-342-3p/NFAM1 axis, implicating it in the pathogenesis of AMI. Concurrently, Zhu Y et al. (99) pinpointed a decrease in circSNRK in myocardial infarction-afflicted rats, which modulates cardiomyocyte apoptosis and proliferation by sponging miR-103-3p and upregulating SNRK. Garikipati et al. (100) proposed that elevating circFndc3b levels could enhance cardiac function and remodeling post-MI. Complementing these findings, Lin et al. (101). Sonnenschein et al. (102), and Sun et al. (103) collectively demonstrated the promise of circRNAs as circulating biomarkers across various cardiomyopathies. Collectively, these studies advance our understanding of circRNAs in the context of cardiovascular pathology and highlight their potential as both therapeutic targets and diagnostic tools.

5.1.4 Cardiac hypertrophy

Cardiac hypertrophy, a condition often arising from hypertensive left ventricular hypertrophy and congestive heart failure, is intricately regulated by circRNAs (104, 105). Recent research elucidates a circRNA-centric network modulating myocardial hypertrophy (106). For instance, circRNA_000203 is upregulated following Ang-II infusion, exacerbating cardiac hypertrophy and dysfunction in transgenic mice (107). Concurrently, circRNA_0001006 promotes hypertrophy by inhibiting miR-214-3p, thereby increasing PAK6 (87). whereas heart-related circRNA (HRCR) mitigates hypertrophy by sponging miR-223 (108). Moreover, circCacna1c and circRNA_0001859 have been implicated in pathological hypertrophy through miR-29b-2-5p/NFATc1 and miR-29b-3p/Ctnnb1 pathways, respectively (109, 110). In contrast, circUtrn is essential for beneficial exercise-induced hypertrophy and protection against ischemia/reperfusion (I/R) injury (111), and C-Ddx is involved in the antihypertrophic memory of exercise preconditioning (112). Targeting circSlc8a1 and circ_0001052 has been shown to attenuate hypertrophy (19, 113), and circNfix downregulation correlates with hypertrophy post-transverse aortic constriction surgery (114). These insights into circRNA-mediated pathways offer promising therapeutic targets for cardiac hypertrophy and failure.

5.2 Roles of circRNAs in pulmonary hypertension

Pulmonary arterial hypertension (PAH), a significant complication of congenital heart disease, is marked by increased pulmonary vascular resistance, rapid cell proliferation, and vascular remodeling via metabolic reprogramming. Vascular remodeling, a key mechanism in essential hypertension pathogenesis, is notably influenced by circHIPK2 (48). Recent findings from a cohort study of 300 individuals categorized into normotensive, prehypertensive, and hypertensive groups revealed circ_0000284 as a promising biomarker for the early detection of hypertension and for identifying the progression to its intermediate stage (49).

Chronic thromboembolic pulmonary hypertension (CTEPH), a rare disorder characterized by persistent pulmonary arterial obstruction due to fibrotic thrombi, results in increased vascular resistance, pulmonary hypertension, and potential heart failure (115). Miao et al. (116) have identified key molecules, including mRNAs, miRNAs, and circRNAs, implicated in CTEPH, shedding light on its pathogenesis. Abnormal circRNA expression, such as circ-myh8, is implicated in pulmonary hypertension (PH) onset and progression, influencing histone modification during anti-PH treatment and activating the circ-myh8/KAT7/HIF1α pathway to counter PH (50). Dysregulated circRNAs, such as hsa_circ_005372 and hsa_circ_003416, may contribute to PAH pathogenesis by altering host gene expression and downstream targets (51, 52). Furthermore, abnormal pulmonary vessel wall remodeling due to excessive proliferation of pulmonary arterial smooth muscle cells (PASMCs) is a key factor in PAH. The circRNA hsa_circWDR37_016 (circWDR37) is implicated as a crucial regulator of hypoxic proliferative disorder in PASMCs, offering a potential novel therapeutic target for PAH (53).

Pulmonary hypertension is characterized by pathological remodeling of the pulmonary vasculature, a process underscored by the proliferation and migration of PASMCs. Recent literature underscores the pivotal role of circRNAs in this remodeling and in the broader pathology of pulmonary and cardiovascular diseases. A spectrum of circRNAs, including circSMOC1 (54), circ-Ntrk2 (55), circ-Sirt1 (56, 57), and circNFXL1 (58), have been implicated in the metabolic reprogramming of pulmonary artery cells, thereby regulating vascular remodeling in PAH. These findings reinforce the significance of circRNAs in the progression of both CTEPH and PAH. A deeper understanding of circRNA regulatory mechanisms may illuminate novel therapeutic avenues for combating PH.

5.3 Roles of circRNAs in cerebrovascular diseases

5.3.1 Cerebral ischemic stroke

Ischemic stroke encompasses cerebral tissue necrosis arising from compromised perfusion secondary to stenosis or obstruction within the cerebrovascular system, notably the carotid and vertebral arteries. Cerebral ischemia manifests across a spectrum: transient ischemic attack (TIA), which lacks infarction; reversible ischemic neurological deficit (RIND), with transient dysfunction; stroke in evolution (SIE), marked by progressive symptomatology; and completed stroke (CS), characterized by established infarction. Each subtype reflects a gradation of ischemic insult severity, with implications for both prognosis and therapeutic intervention.

circRNAs have emerged as pivotal regulators in ischemic stroke pathophysiology, with circ.7225, circ.5415, and circ.20623 identified as potential modulators of cerebral ischemia/reperfusion (CI/R) injury, suggesting their utility as therapeutic targets (117). Investigations into rat models of middle cerebral artery occlusion (MCAO) have delineated a circRNA-miRNA interactome, implicating these non-coding RNAs in stroke mechanisms (118, 119). Complementary studies in murine models have characterized circRNA expression post-focal cerebral ischemia (120) in non-ischemic regions contralateral to cortical infarcts, and following CI/R injury (121, 122). At the mechanistic level, circular RNA DLGAP4 has been shown to mitigate ischemic stroke outcomes by modulating miR-143 and influencing endothelial-mesenchymal transition, crucial for blood-brain barrier integrity (71). Similarly, circHECTD1 acts as a miR-142 sponge to regulate TIPARP expression, thereby modulating cerebral ischemia through autophagy pathways (72). The overexpression of circUCK2 has been associated with reduced apoptosis in cerebral ischemia-reperfusion injury through miR-125b-5p/GDF11signaling (73). Moreover, circ_0000831 (123), circHIPK3 (124), circBBS2 (125), Circular RNA TLK1 (126), circular RNA HECTD1 (127) have been implicated in disease progression through miRNA inhibition, underscoring their potential as molecular targets for intervention.

Recent studies have elucidated the role of circRNAs in neuroprotective mechanisms against ischemic brain injury. Chen W et al. (74) demonstrated that exosome-mediated transfer of circSHOC2 from ischemic postconditioning astrocytes (IPASs) enhances neuronal autophagy and mitigates ischemic brain damage through the miR-7670-3p/SIRT1 axis. Complementing this finding, Chen W et al. (75). identified circular RNA circPRDX3 as a critical player in neuronal fate, modulating survival and apoptosis during ischemic stroke by interacting with miR-641 and NPR3. Additionally, Ren et al. (128) reported an upregulation of Circ-Memo1 in the context of kidney ischemia-reperfusion injury and cerebral hypoxia/reoxygenation (H/R) stress, indicating a potential shared pathway in ischemic pathologies across different tissues. These studies collectively highlight circRNAs as promising molecular targets for therapeutic strategies in ischemic conditions.

5.3.2 Intracerebral hemorrhage (ICH)

Recent advances in noncoding RNA research have highlighted circRNAs as pivotal modulators of transcriptome dynamics in the central nervous system. Liu Z et al. (129) demonstrated through comprehensive cerebral circRNA profiling in intracerebral hemorrhage (ICH) rat models that circRNA expression signatures show higher sensitivity to disease progression compared to mRNAs or miRNAs. This finding was further supported by Kim et al. (130), who explored circRNA expression patterns in a rat ICH model, providing insights into potential therapeutic strategies for ICH. Validation of microarray results for three circRNAs by quantitative real-time PCR (qRT-PCR) was reported by Dou et al. (131), bolstering the reliability of these novel biomarkers. In particular, hsa_circ_0005505, circERBB2, and circCHST12 have been proposed as potential diagnostic biomarkers for ICH (132). Furthermore, Qi et al. (76) elucidated the mechanistic role of circAFF2 in promoting neuronal cell injury in ICH by regulating the miR-488/ca-3 axis. Collectively, these findings underscore the potential of circRNAs as therapeutic agents for mitigating ICH-induced injuries.

5.4 Roles of circRNAs in renal vascular disease

Renal vascular diseases encompass a spectrum of pathologies arising from vasculitis, metabolic disorders, thrombosis, and embolism, commonly affecting glomerular capillary collaterals and manifesting as urinary alterations, hypertension, and renal dysfunction. Etiologies include atherosclerosis of renal arteries, fibromuscular dysplasia, aortitis, hypercoagulability from contraceptive use, venous stasis from renal vein compression, and endothelial damage. Embolic sources such as thrombi, cholesterol crystals, and septic emboli further contribute to disease. Histologically, these conditions are characterized by ischemic glomerular changes, tubular atrophy, interstitial single-cell infiltration, fibrosis, capillary stasis, interstitial edema, proliferative fibrosis in vascular walls, and the presence of cholesterol crystal voids.

Diabetic nephropathy (DN), a major vascular complication of diabetes mellitus, significantly contributes to mortality among diabetic patients. A key study by Peng et al. (77) demonstrated the potential therapeutic role of circRNA_010383, which, when overexpressed, inhibited high-glucose-induced extracellular matrix (ECM) accumulation and elevated TRPC1 levels in vitro. Notably, kidney-targeted overexpression of circRNA_010383 mitigated proteinuria and renal fibrosis in db/db mice. Furthermore, microvascular dysfunction, a major contributor to mortality in septic patients with multi-organ failure, was shown to be ameliorated by exogenous administration of exosomes from adipose-derived mesenchymal stem cells (ADSCs). The effect was mediated via mmu_circ_0001295 delivery, potentially offering a novel therapeutic avenue for sepsis (78). Renal denervation (RDN), a promising therapy for resistant hypertension (RH), may operate via the upregulation of hsa_circRNA_000367 or downregulation of hsa_circRNA_405119, thereby influencing multiple cellular and molecular pathways (133). Collectively, these findings underscore the potential of circRNAs as therapeutic targets for renal vascular diseases.

5.5 Roles of circRNAs in ocular neovascular disease (OND)

Ocular neovascular diseases (ONDs), typified by the pathological proliferation of immature blood vessels, are a predominant cause of vision loss and blindness. Effective diagnostic and therapeutic strategies are critical for managing these conditions. Neovascularization encompasses vasculogenesis and angiogenesis, with the latter divisible into five sequential phases: vascular endothelial cell activation (134, 135), basement membrane and extracellular matrix degradation (136), tip cell migration (137), tubulogenesis (138), and vessel maturation (139). In the context of diabetic retinopathy, circRNA microarray analyses have revealed an upregulation of circRSU1. Lentiviral-mediated knockdown of circRSU1 in human retinal endothelial cells attenuates diabetic-induced retinal vascular anomalies by reducing vascular endothelial growth factor expression, inflammation, and oxidative stress, positioning circRSU1 as a promising therapeutic target (79). Differential expression of 529 circRNAs between diabetic and non-diabetic retinas has been identified, with gene ontology enrichment analysis highlighting associations with ATP binding, extracellular exosomes, and intracellular signaling (140). In glaucoma research, quantification of circular RNA-glycine receptor α2 subunit gene (cGlra2) in the aqueous humor discriminates between glaucoma and cataract patients. cGlra2 silencing confers protection to retinal ganglion cells against oxidative or hydrostatic pressure-induced damage in vitro (80). Despite numerous identified therapeutic targets and pathways, further research is imperative to pinpoint the primary target for clinical translation.

6 Current diagnostic and therapeutic approaches to cardiovascular diseases

The early detection of high-risk vulnerable plaques is crucial for effective treatment and prognosis in cardiovascular disease. A suite of invasive imaging modalities, including Optical Coherence Tomography, Intravascular Ultrasound, Near-Infrared Spectroscopy, and Fluorescence Lifetime Imaging, are employed to discern plaque characteristics and constituents, whereas non-invasive techniques such as ultrasound, CT, MR, and PET offer alternative evaluation methods. CT imaging provides comprehensive insights into both luminal stenosis and plaque composition, while MR imaging similarly elucidates luminal and plaque characteristics. The integration of OCT and IVUS capitalizes on the strengths of both penetration and resolution, facilitating not only the examination of plaque composition but also the assessment of plaque stability via inflammation markers. The FLIm-IVUS hybrid catheter aids in identifying vascular plaque components, including collagen fibers, calcifications, and lipids, with IVUS integration enabling spatial mapping of these elements. Intravascular Photoacoustic Imaging leverages lipid absorption of pulsed light to generate acoustic signals for plaque characterization, in conjunction with IVUS. Moreover, Indocyanine green specifically targets areas with compromised endothelial barriers, highlighting macrophage activity, lipid accumulation, and intraplaque hemorrhage. Lastly, fiber scanning technologies utilize blue, green, and red laser light to distinguish between different plaque constituents, enhancing the precision of cardiovascular diagnostics.

Arterial inflammation is prevalent among middle-aged adults with subclinical atherosclerosis, and its assessment is pivotal for evaluating patient prognosis. Positron Emission Tomography combined with computed tomography or magnetic resonance, using the tracer 18F-fluorodeoxyglucose, serves as a non-invasive approach to gauge vascular inflammation. The perivascular fat attenuation index offers insights into vascular inflammatory states by quantifying the hydrophilic/lipophilic balance of adipocytes, indirectly reflecting adipocyte size. Magnetic resonance molecular imaging with myeloperoxidase-gadolinium exploits the enzymatic activity of MPO to catalyze oligomerization reactions, enabling the covalent binding of Gd to proteins with phenolic groups, thereby imaging vascular inflammation. Additionally, Surface-Enhanced Raman Spectroscopy imaging detects inflammatory responses in arterial plaques through the intravenous administration of nanoparticles targeting inflammatory molecules, which are tagged with Raman spectroscopy-detectable fluorescent substances. Trophoblastic vessels can now be evaluated using Optical Coherence Tomography, providing novel insights into vascular disease. The risk of CVDs is appraised through mechanomics, focusing on adverse hemodynamic characteristics such as low fractional flow reserve computed tomography and high ΔFFRCT, among others. Adverse plaque characteristics, including low attenuation plaque, positive remodeling, and punctate calcification, are also crucial in risk assessment.

The current investigation by Sonnenschein et al. (102) evaluates the expression profiles of circulating circRNAs in HCM patients, positing them as potential biomarkers. Exosomes, pivotal in cerebral ischemia, carry nucleic acids like miRNA, circRNA, and lncRNA that facilitate intercellular communication and contribute to neuroprotection by regulating neural development, angiogenesis, and neuroinflammation inhibition. These vesicles also enhance stroke recovery through mechanisms that bolster neural communication, neuronal and myelin synapse development, neurovascular unit remodeling, and nervous system homeostasis. Moreover, exosomes serve as promising vehicles for targeted delivery of therapeutic agents to lesion sites, owing to their capacity for modification and bioactive substance carriage.

In a recent transcriptomic study, Li S et al. (141) employed RNA sequencing to delineate the circRNA expression landscape in a cohort comprising five patients with large artery atherosclerosis-associated stroke and four non-stroke controls. They discovered that the levels of hsa_circRNA_0001599 were significantly associated with the severity of stroke, as measured by the National Institutes of Health Stroke Scale, and with the volume of cerebral infarction. Receiver operating characteristic analysis of hsa_circRNA_0001599 demonstrated its potential as a diagnostic marker for LAA-stroke, with an area under the curve of 0.805, indicating high diagnostic accuracy (95% CI: 0.748–0.862, p < 0.001), and achieving a sensitivity of 64.41% and a specificity of 89.93%. These findings suggest hsa_circRNA_0001599 as a promising circRNA biomarker for LAA-stroke.

7 Conclusions and future perspectives

This review comprehensively assesses the advancements in research and therapeutic applications of circRNAs in CVDs, acknowledging their involvement in a myriad of cellular processes and associations with diverse human diseases. Recent innovations in technologies and methodologies have bolstered circRNA identification, functional analysis, and therapeutic exploitation. Yet, in the cardiovascular realm, the intricate regulatory mechanisms governed by circRNAs warrant further investigation. While the majority of research has centered on their role as microRNA sponges, alternative functions and pathways remain underexplored. The burgeoning field of RNA biology and related technological progress have propelled RNA-based therapeutics into a new epoch of diversified development, with circRNAs, owing to their unique structural properties, emerging as promising agents in drug and vaccine innovation. This is particularly evident in the design of circRNA-based drugs for CVD therapy, which stands as a compelling aspect of circRNA research, heralding novel avenues for CVD diagnosis and treatment. Crucially, the potential of circRNA-based vaccines for the treatment and prevention of CVDs remains a largely untapped area of exploration. The unique properties of circRNAs offer a promising foundation for the development of novel therapeutic and prophylactic strategies that could revolutionize CVD management. To actualize this potential, critical challenges such as refining circRNA synthesis techniques and enhancing delivery systems must be addressed.

This review aims to distinguish itself from prior analyses by concentrating on the recent advancements and challenges in developing circRNA-based therapies for cardiovascular disease. The progression in RNA biology and related technologies has led to a more diversified evolution of RNA-based drug design and delivery systems, heralding a new era of rapid development in RNA therapeutics. CircRNA, owing to its unique structural properties, exhibits significant potential in the realm of innovative drug development—encompassing the synthesis of circRNAs with endogenous sequences and the engineering of artificial circRNAs—as well as in vaccine development, surpassing conventional RNA therapeutics. While numerous reviews have chronicled the progress of circRNA research within the cardiovascular system, the swift advancements in this field have continually expanded our understanding of circRNAs and their applications in medical research (142, 143). In this review, we provide a comprehensive overview of the techniques employed or potentially applicable for studying circRNA within the cardiovascular system, highlighting their respective advantages and limitations. This information is intended to guide junior investigators in conducting circRNA research in the cardiovascular context and to advance the field's development. We discuss the current state-of-the-art knowledge regarding circRNA, explore therapeutic strategies, and examine the application perspectives and challenges associated with circRNA in CVD.

The expanding comprehension of RNA's diverse roles has catalyzed the development of novel RNA-based therapeutics, positioning RNA therapy as a promising strategy for previously intractable diseases. A particularly compelling area of circRNA research involves the design of circRNA-based drugs for CVD therapy. As our understanding of circRNA's role in CVD and its potential in RNA-mediated therapy grows, new avenues for CVD diagnosis and treatment have emerged. Nonetheless, significant challenges remain. Efforts to efficiently synthesize circRNA have predominantly relied on in vivo overexpression strategies, which risk co-producing linear RNA by-products, potentially compromising the quality and purity of circRNA. Addressing this requires direct delivery of synthesized circRNA to target sites, akin to mRNA therapy. Furthermore, engineered circRNA synthesis is often hampered by the introduction of exogenous fragments, resulting in inefficient cyclization and heightened immune responses. Advancing methods for circRNA circRNA production is essential for exploring circRNA functions and developing new circRNA-based technologies. Additionally, the delivery mode of circRNA presents a critical challenge. For instance, nanoparticles, while promising, may inadvertently trigger immune responses or accumulate in unintended tissues, leading to side effects. Thus, further research to mitigate nanoparticle-related side effects and enhance their safety is vital for the clinical application of circRNA therapeutics.

This review delves into the pathological characteristics and pathogenetic mechanisms of multisite vascular lesions, with a particular focus on the role of circRNAs in CVDs. It further investigates the shared mechanistic traits across these diseases, aiming to identify potential biomarkers and prognostic indicators with broad applicability to vascular pathologies.

Author contributions

K-yC: Conceptualization, Writing – original draft. S-wW: Visualization, Writing – review & editing. TL: Visualization, Validation, Writing – original draft. Z-jM: Writing – original draft. Y-yX: Writing – original draft. QS: Writing – review & editing. X-xZ: Writing – review & editing, Conceptualization, Writing – original draft.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Medical and Health Technology Projects of Zhejiang Province, China [2024KY513], Quzhou Technology Projects, China [2023K127].

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

ADSCs, adipose-derived mesenchymal stem cells; AF, atrial fibrillation; AHA, American heart association; AMI, acute myocardial infarction; ASCVD, atherosclerotic cardiovascular disease; CAD, coronary artery disease; CHD, coronary heart disease; circRNAs, circular RNAs; CS, completed stroke; CTEPH, chronic thromboembolic pulmonary hypertension; CVD, cardiovascular disease; CVH, cardiovascular health; CX-CS, Chuanxiong-Chishao; DCM, diabetic cardiomyopathy; DKD, diabetic kidney disease; DM, diabetes mellitus; DN, diabetic nephropathy; DR, diabetic retinopathy; ECM, extracellular matrix; HCM, hypertrophic cardiomyopathy; HDL-C, high-density lipoprotein cholesterol; HRCR, heart-related circRNA; ICH, intracerebral hemorrhage; IPASs, ischemic postconditioning astrocytes; I/R, ischemia/reperfusion; LDL-C, low-density lipoprotein cholesterol; MCAO, middle cerebral artery occlusion; MF, myocardial fibrosis; MI-AS, myocardial infarction-atherosclerosis; ONDs, ocular neovascular diseases; PAD, peripheral artery disease; PAH, pulmonary arterial hypertension; PASMCs, pulmonary arterial smooth muscle cells; PBLs, peripheral blood leukocytes; PH, pulmonary hypertension; RDN, Renal denervation; RH, resistant hypertension; RIND, reversible ischemic neurological deficit; SIE, stroke in evolution; TIA, transient ischemic attack.

References

1. Tsao C, Aday A, Almarzooq Z, Anderson C, Arora P, Avery C, et al. Heart disease and stroke statistics-2023 update: a report from the American Heart Association. Circulation. (2023) 147:e93–e621. doi: 10.1161/cir.0000000000001123

PubMed Abstract | Crossref Full Text | Google Scholar

2. Li X, Liu C, Xue W, Zhang Y, Jiang S, Yin Q, et al. Coordinated circRNA biogenesis and function with NF90/NF110 in viral infection. Mol Cell. (2017) 67:214–27.e7. doi: 10.1016/j.molcel.2017.05.023

PubMed Abstract | Crossref Full Text | Google Scholar

3. Li B, Xi W, Bai Y, Liu X, Zhang Y, Li L, et al. FTO-dependent mA modification of Plpp3 in circSCMH1-regulated vascular repair and functional recovery following stroke. Nat Commun. (2023) 14:489. doi: 10.1038/s41467-023-36008-y

PubMed Abstract | Crossref Full Text | Google Scholar

4. Yao M, Jiang Q, Ma Y, Zhu Y, Zhang Q, Shi Z, et al. Targeting circular RNA-MET for anti-angiogenesis treatment via inhibiting endothelial tip cell specialization. Mol Ther. (2022) 30:1252–64. doi: 10.1016/j.ymthe.2022.01.012

PubMed Abstract | Crossref Full Text | Google Scholar

5. Fu L, Zhang J, Lin Z, Li Y, Qin GJB. CircularRNA circ_0071269 knockdown protects against from diabetic cardiomyopathy injury by microRNA-145/gasdermin A axis. Bioengineered. (2022) 13:2398–411. doi: 10.1080/21655979.2021.2024688

PubMed Abstract | Crossref Full Text | Google Scholar

6. Ling-Ling C. The biogenesis and emerging roles of circular RNAs. Nat Rev Mol Cell Biol. (2016) 17:205–11. doi: 10.1038/nrm.2015.32

PubMed Abstract | Crossref Full Text | Google Scholar

7. Min Z, Mei-Sheng X, Zhengguo L, Chuan H. New progresses of circular RNA biology: from nuclear export to degradation. RNA Biol. (2020) 18:1365–73. doi: 10.1080/15476286.2020.1853977

PubMed Abstract | Crossref Full Text | Google Scholar

8. Xiao-Ou Z, Hai-Bin W, Yang Z, Xuhua L, Ling-Ling C, Li Y, et al. Complementary sequence-mediated exon circularization. Cell. (2014) 159:134–47. doi: 10.1016/j.cell.2014.09.001

PubMed Abstract | Crossref Full Text | Google Scholar

9. Dongming L, Jeremy EW. Short intronic repeat sequences facilitate circular RNA production. Genes Dev. (2014) 28:2233–47. doi: 10.1101/gad.251926.114

PubMed Abstract | Crossref Full Text | Google Scholar

10. William JR, Jessica SA, Kai W, Michael SK, Christin BE, Jinze L, et al. Circular RNAs are abundant, conserved, and associated with ALU repeats. RNA. (2012) 19:141–57. doi: 10.1261/rna.035667.112

PubMed Abstract | Crossref Full Text | Google Scholar

11. Simona A, Maarten vdH, Yolan RJ, Abdelaziz B, Ingeborg vdM, Jolanda K, et al. Cardiac circRNAs arise mainly from constitutive exons rather than alternatively spliced exons. RNA. (2018) 24:815–27. doi: 10.1261/rna.064394.117

PubMed Abstract | Crossref Full Text | Google Scholar

12. Yehoshua E, Mattia L, Morris E F, Aldema S-C, Igor U, Yosef Y. Circular RNAs are long-lived and display only minimal early alterations in response to a growth factor. Nucleic Acids Res. (2015) 44:1370–83. doi: 10.1093/nar/gkv1367

PubMed Abstract | Crossref Full Text | Google Scholar

13. Chu-Xiao L, Ling-Ling C. Circular RNAs: characterization, cellular roles, and applications. Cell. (2022) 185:2016–34. doi: 10.1016/j.cell.2022.04.021

PubMed Abstract | Crossref Full Text | Google Scholar

14. Thomas B H, Erik D W, Jesper B B, Sune B V, Aaron L S, Susan J C, et al. miRNA-dependent gene silencing involving Ago2-mediated cleavage of a circular antisense RNA. EMBO J. (2011) 30:4414–22. doi: 10.1038/emboj.2011.359

PubMed Abstract | Crossref Full Text | Google Scholar

15. Guanli H, Hua Z, Yixiong S, Wenzhi W, Huajie C, Xiangjian C. cir-ITCH plays an inhibitory role in colorectal cancer by regulating the Wnt/β-catenin pathway. PLoS One. (2015) 10:e0131225. doi: 10.1371/journal.pone.0131225

PubMed Abstract | Crossref Full Text | Google Scholar

16. Weekai C, Jiali L, Yi-Gang H, Changqing Z. A circular RNA derived from DAB1 promotes cell proliferation and osteogenic differentiation of BMSCs via RBPJ/DAB1 axis. Cell Death Dis. (2020) 11:372. doi: 10.1038/s41419-020-2572-3

PubMed Abstract | Crossref Full Text | Google Scholar

17. Kuei-Yang H, Ya-Chi L, Sachin Kumar G, Ning C, Laising Y, Sunny SH, et al. Noncoding effects of circular RNA CCDC66 promote colon cancer growth and metastasis. Cancer Res. (2017) 77:2339–50. doi: 10.1158/0008-5472.Can-16-1883

PubMed Abstract | Crossref Full Text | Google Scholar

18. Qun L, Tianyao L, Huijin F, Rong Y, Xiaozhi Z, Wei C, et al. Circular RNA circSLC8A1 acts as a sponge of miR-130b/miR-494 in suppressing bladder cancer progression via regulating PTEN. Mol Cancer. (2019) 18:111. doi: 10.1186/s12943-019-1040-0

PubMed Abstract | Crossref Full Text | Google Scholar

19. Tingsen Benson L, Edita A, Tuan Danh Anh L, Yiqing Peter L, Shi Ling N, Lavenniah A, et al. Targeting the highly abundant circular RNA circSlc8a1 in cardiomyocytes attenuates pressure overload induced hypertrophy. Cardiovasc Res. (2019) 115:1998–2007. doi: 10.1093/cvr/cvz130

PubMed Abstract | Crossref Full Text | Google Scholar

20. Chang L, Mu-Di Y, Chao-Peng L, Kun S, Hong Y, Jia-Jian W, et al. Silencing of circular RNA-ZNF609 ameliorates vascular endothelial dysfunction. Theranostics. (2017) 7:2863–77. doi: 10.7150/thno.19353

PubMed Abstract | Crossref Full Text | Google Scholar

21. Lei P, Guanglin C, Zhongxian Z, Ziyang S, Chunxia D, Rujin Z, et al. Circular RNA ZNF609 functions as a competitive endogenous RNA to regulate AKT3 expression by sponging miR-150-5p in Hirschsprung’s disease. Oncotarget. (2016) 8:808–18. doi: 10.18632/oncotarget.13656

Crossref Full Text | Google Scholar

22. Yan Z, William W D, Yingya W, Zhenguo Y, Faryal Mehwish A, Xiangmin L, et al. A circular RNA binds to and activates AKT phosphorylation and nuclear localization reducing apoptosis and enhancing cardiac repair. Theranostics. (2017) 7:3842–55. doi: 10.7150/thno.19764

PubMed Abstract | Crossref Full Text | Google Scholar

23. Jeeyoon C, Min-Kyung S, Joori P, Hyun Jung H, Nicolas L, Junhak A, et al. An interaction between eIF4A3 and eIF3 g drives the internal initiation of translation. Nucleic Acids Res. (2023) 51:10950–69. doi: 10.1093/nar/gkad763

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ivano L, Gaia DT, Francesca R, Mariangela M, Francesca B, Olga S, et al. Circ-ZNF609 is a circular RNA that can be translated and functions in myogenesis. Mol Cell. (2017) 66:22–37.e9. doi: 10.1016/j.molcel.2017.02.017

PubMed Abstract | Crossref Full Text | Google Scholar

25. Pamudurti N, Patop I, Krishnamoorthy A, Bartok O, Maya R, Lerner N, et al. Circmbl functions in cis and in trans to regulate gene expression and physiology in a tissue-specific fashion. Cell Rep. (2022) 39:110740. doi: 10.1016/j.celrep.2022.110740

PubMed Abstract | Crossref Full Text | Google Scholar

26. Maolei Z, Kun Z, Xiaoping X, Yibing Y, Sheng Y, Ping W, et al. A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastoma. Nat Commun. (2018) 9:4475. doi: 10.1038/s41467-018-06862-2

PubMed Abstract | Crossref Full Text | Google Scholar

27. Feigin VL, Krishnamurthi R, Merkin A, Nair B, Kravchenko M, Jalili-Moghaddam S, et al. Digital solutions for primary stroke and cardiovascular disease prevention: a mass individual and public health approach. Lancet Reg Health West Pac. (2022) 29:100511. doi: 10.1016/j.lanwpc.2022.100511

PubMed Abstract | Crossref Full Text | Google Scholar

28. Li S, Liu H, Guo Y, Zhu C, Wu N, Xu R, et al. Improvement of evaluation in Chinese patients with atherosclerotic cardiovascular disease using the very-high-risk refinement: a population-based study. Lancet Reg Health West Pac. (2021) 17:100286. doi: 10.1016/j.lanwpc.2021.100286

PubMed Abstract | Crossref Full Text | Google Scholar

29. Rodgers J, Jones J, Bolleddu S, Vanthenapalli S, Rodgers L, Shah K, et al. Cardiovascular risks associated with gender and aging. Cardiovasc Dev Dis. (2019) 6:19. doi: 10.3390/jcdd6020019

Crossref Full Text | Google Scholar

30. Rakhit S, Nordness M, Lombardo S, Cook M, Smith L, Patel M. Management and challenges of severe traumatic brain injury. Semin Respir Crit Care Med. (2021) 42:127–44. doi: 10.1055/s-0040-1716493

PubMed Abstract | Crossref Full Text | Google Scholar

31. Rodriguez R, Nair S, Bussière M, Nathan HJT. Long-lasting functional disabilities in patients who recover from coma after cardiac operations. Ann Thorac Surg. (2013) 95:884–90. doi: 10.1016/j.athoracsur.2012.09.032

PubMed Abstract | Crossref Full Text | Google Scholar

32. Kotlęga D, Gołąb-Janowska M, Masztalewicz M, Ciećwież S, Nowacki PJN. The emotional stress and risk of ischemic stroke. Neurol Neurochir Pol. (2016) 50:265–70. doi: 10.1016/j.pjnns.2016.03.006

PubMed Abstract | Crossref Full Text | Google Scholar

33. Lin R, Lin C, Christiani D, Kawachi I, Cheng Y, Verguet S, et al. The impact of the introduction of new recognition criteria for overwork-related cardiovascular and cerebrovascular diseases: a cross-country comparison. Sci Rep. (2017) 7:167. doi: 10.1038/s41598-017-00198-5

PubMed Abstract | Crossref Full Text | Google Scholar

34. Webb A, Werring DJS. New insights into cerebrovascular pathophysiology and hypertension. Stroke. (2022) 53:1054–64. doi: 10.1161/strokeaha.121.035850

PubMed Abstract | Crossref Full Text | Google Scholar

35. Rowat A, Graham C, Dennis MJS. Dehydration in hospital-admitted stroke patients: detection, frequency, and association. Stroke. (2012) 43:857–9. doi: 10.1161/strokeaha.111.640821

PubMed Abstract | Crossref Full Text | Google Scholar

36. Li D, Long Y, Yu S, Shi A, Wan J, Wen J, et al. Research advances in cardio-cerebrovascular diseases of Ligusticum chuanxiong hort. Front Pharmacol. (2021) 12:832673. doi: 10.3389/fphar.2021.832673

PubMed Abstract | Crossref Full Text | Google Scholar

37. GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet Neurol. (2021) 20:795–20. doi: 10.1016/s1474-4422(21)00252-0

PubMed Abstract | Crossref Full Text | Google Scholar

38. Hasbani N, Ligthart S, Brown M, Heath A, Bebo A, Ashley K, et al. American heart Association’s life’s simple 7: lifestyle recommendations, polygenic risk, and lifetime risk of coronary heart disease. Circulation. (2022) 145:808–18. doi: 10.1161/circulationaha.121.053730

PubMed Abstract | Crossref Full Text | Google Scholar

39. Chinwong D, Patumanond J, Chinwong S, Siriwattana K, Gunaparn S, Hall J, et al. Low-density lipoprotein cholesterol of less than 70 mg/dl is associated with fewer cardiovascular events in acute coronary syndrome patients: a real-life cohort in Thailand. Ther Clin Risk Manag. (2015) 11:659–67. doi: 10.2147/tcrm.S78745

PubMed Abstract | Crossref Full Text | Google Scholar

40. Sun J, Qiao Y, Zhao M, Magnussen C, Xi BJ. Global, regional, and national burden of cardiovascular diseases in youths and young adults aged 15–39 years in 204 countries/territories, 1990–2019: a systematic analysis of global burden of disease study 2019. BMC Med. (2023) 21:222. doi: 10.1186/s12916-023-02925-4

PubMed Abstract | Crossref Full Text | Google Scholar

41. Wall S, Zhao Q, Yearsley M, Blower L, Agyeman A, Ranganathan P, et al. Complement-mediated thrombotic microangiopathy as a link between endothelial damage and steroid-refractory GVHD. Blood Adv. (2018) 2:2619–28. doi: 10.1182/bloodadvances.2018020321

PubMed Abstract | Crossref Full Text | Google Scholar

42. Tsilibary EJT. Microvascular basement membranes in diabetes mellitus. J Pathol. (2003) 200:537–46. doi: 10.1002/path.1439

PubMed Abstract | Crossref Full Text | Google Scholar

43. Writing committee of the report on cardiovascular health and diseases in china. Report on cardiovascular health and diseases in China 2021: an updated summary. Biomed Environ Sci. (2022) 35:573–603. doi: 10.3967/bes2022.079

PubMed Abstract | Crossref Full Text | Google Scholar

44. Armani C, Landini L, Leone AJC. Interactive effect of cigarette smoking and gene variants for predisposing to cardiovascular disease. Curr Pharm Des. (2010) 16:2531–8. doi: 10.2174/138161210792062885

PubMed Abstract | Crossref Full Text | Google Scholar

45. Zhang Y, Edvinsson L, Xu CJT. Up-regulation of endothelin receptors induced by cigarette smoke–involvement of MAPK in vascular and airway hyper-reactivity. Sci World J. (2010) 10:2157–66. doi: 10.1100/tsw.2010.204

Crossref Full Text | Google Scholar

46. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. (2020) 395:709–33. doi: 10.1016/s0140-6736(20)30045-3

PubMed Abstract | Crossref Full Text | Google Scholar

47. Li C, Lin C, Liu C, Lin C, Yang S, Li T. Three-year trajectories of sleep duration and mortality in patients with type 2 diabetes-a hospital-based retrospective cohort study. Sleep Health. (2023) 9(6):959–67. doi: 10.1016/j.sleh.2023.07.017

PubMed Abstract | Crossref Full Text | Google Scholar

48. Liu C, Li N, Li F, Deng W, Dai G, Tang Y, et al. CircHIPK2 facilitates phenotypic switching of vascular smooth muscle cells in hypertension. J Hum Hypertens. (2023) 37(11):1021–7. doi: 10.1038/s41371-023-00834-w

PubMed Abstract | Crossref Full Text | Google Scholar

49. Chen M, Cai Y, Guo J, Gong Y, Xu X, Lin Y, et al. Circ_0000284: a risk factor and potential biomarker for prehypertension and hypertension. Hypertens Res. (2023) 46:720–9. doi: 10.1038/s41440-022-01140-7

PubMed Abstract | Crossref Full Text | Google Scholar

50. Xing Y, Qi J, Cheng X, Song X, Zhang J, Li S, et al. Circ-myh8 promotes pulmonary hypertension by recruiting KAT7 to govern hypoxia-inducible factor-1α expression. J Am Heart Assoc. (2023) 12:e028299. doi: 10.1161/jaha.122.028299

PubMed Abstract | Crossref Full Text | Google Scholar

51. Su D, Huang Y, Liu D, Huang Y, Ye B, Qin S, et al. Bioinformatic analysis of dysregulated circular RNAs in pediatric pulmonary hypertension linked congenital heart disease. Transl Pediatr. (2022) 11:715–27. doi: 10.21037/tp-22-117

PubMed Abstract | Crossref Full Text | Google Scholar

52. Huang Y, Su D, Ye B, Huang Y, Qin S, Chen C, et al. Expression and clinical significance of circular RNA hsa_circ_0003416 in pediatric pulmonary arterial hypertension associated with congenital heart disease. J Clin Lab Anal. (2022) 36:e24273. doi: 10.1002/jcla.24273

PubMed Abstract | Crossref Full Text | Google Scholar

53. Li S, Liang S, Long Y, Chen X, Jin XJ. Hsa_circWDR37_016 regulates hypoxia-induced proliferation of pulmonary arterial smooth muscle cells. Cardiovasc Ther. (2022) 2022:7292034. doi: 10.1155/2022/7292034

PubMed Abstract | Crossref Full Text | Google Scholar

54. Lu G, Geng F, Deng L, Lin D, Huang Y, Lai S, et al. Reduced CircSMOC1 level promotes metabolic reprogramming via PTBP1 (polypyrimidine tract-binding protein) and miR-329-3p in pulmonary arterial hypertension rats. Hypertension. (2022) 79:2465–79. doi: 10.1161/hypertensionaha.122.19183

PubMed Abstract | Crossref Full Text | Google Scholar

55. Su L, Li X, Mao X, Xu T, Zhang Y, Li S, et al. Circ-Ntrk2 acts as a miR-296-5p sponge to activate the TGF-β1/p38 MAPK pathway and promote pulmonary hypertension and vascular remodelling. Respir Res. (2023) 24:78. doi: 10.1186/s12931-023-02385-7

PubMed Abstract | Crossref Full Text | Google Scholar

56. Diao W, Liu G, Shi C, Jiang Y, Li H, Meng J, et al. Evaluating the effect of Circ-Sirt1 on the expression of SIRT1 and its role in pathology of pulmonary hypertension. Cell Transplant. (2022) 31:9636897221081479. doi: 10.1177/09636897221081479

PubMed Abstract | Crossref Full Text | Google Scholar

57. Jing X, Wu S, Liu Y, Wang H, Huang QJB. Circular RNA Sirtuin1 represses pulmonary artery smooth muscle cell proliferation, migration and autophagy to ameliorate pulmonary hypertension via targeting microRNA-145-5p/protein kinase-B3 axis. Bioengineered. (2022) 13:8759–71. doi: 10.1080/21655979.2022.2036302

PubMed Abstract | Crossref Full Text | Google Scholar

58. Li S, Liang S, Li L, Yang H, Long Y, Zhuo D, et al. circNFXL1 modulates the Kv2.1 channel function in hypoxic human pulmonary artery smooth muscle cells via sponging miR-29b-2-5p as a competitive endogenous RNA. J Cardiovasc Pharmacol. (2023) 81:292–9. doi: 10.1097/fjc.0000000000001396

PubMed Abstract | Crossref Full Text | Google Scholar

59. Vilades D, et al. Plasma circular RNA hsa_circ_0001445 and coronary artery disease: performance as a biomarker. FASEB J. (2020) 34:4403–14. doi: 10.1096/fj.201902507R

PubMed Abstract | Crossref Full Text | Google Scholar

60. Wang Z, Wang H, Guo C, Yu F, Zhang Y, Qiao L, et al. Role of hsa_circ_0000280 in regulating vascular smooth muscle cell function and attenuating neointimal hyperplasia via ELAVL1. Cell Mol Life Sci. (2022) 80(1):3. doi: 10.1007/s00018-022-04602-w

PubMed Abstract | Crossref Full Text | Google Scholar

61. Mao Y, Wang J, Guo X, Bi Y, Wang C. Circ-SATB2 upregulates STIM1 expression and regulates vascular smooth muscle cell proliferation and differentiation through miR-939. Biochem Biophys Res Commun. (2018) 505:119–25. doi: 10.1016/j.bbrc.2018.09.069

PubMed Abstract | Crossref Full Text | Google Scholar

62. Pan R, Liu P, Zhou H, Sun W, Song J, Shu J, et al. Circular RNAs promote TRPM3 expression by inhibiting hsa-miR-130a-3p in coronary artery disease patients. Oncotarget. (2017) 8:60280–90. doi: 10.18632/oncotarget.19941

PubMed Abstract | Crossref Full Text | Google Scholar

63. Rafiq M, Dandare A, Javed A, Liaquat A, Raja A, Awan H, et al. Competing endogenous RNA regulatory networks of hsa_circ_0126672 in pathophysiology of coronary heart disease. Genes. (2023) 14:550. doi: 10.3390/genes14030550

PubMed Abstract | Crossref Full Text | Google Scholar

64. Yu F, Zhang Y, Wang Z, Gong W, Zhang CJT. Hsa_circ_0030042 regulates abnormal autophagy and protects atherosclerotic plaque stability by targeting eIF4A3. Theranostics. (2021) 11:5404–17. doi: 10.7150/thno.48389

PubMed Abstract | Crossref Full Text | Google Scholar

65. Xiong F, Mao R, Zhang L, Zhao R, Tan K, Liu C, et al. CircNPHP4 in monocyte-derived small extracellular vesicles controls heterogeneous adhesion in coronary heart atherosclerotic disease. Cell Death Dis. (2021) 12:948. doi: 10.1038/s41419-021-04253-y

PubMed Abstract | Crossref Full Text | Google Scholar

66. Ma G, Chen W, Zhan F, Xie W, Chen R, Chen H, et al. Circ_0002295 facilitated myocardial fibrosis progression through the miR-1287/CXCR2 axis. Clin Exp Pharmacol Physiol. (2023) 50(12):944–53. doi: 10.1111/1440-1681.13819

PubMed Abstract | Crossref Full Text | Google Scholar

67. Yuan Q, Sun Y, Yang F, Yan D, Shen M, Jin Z, et al. CircRNA DICAR as a novel endogenous regulator for diabetic cardiomyopathy and diabetic pyroptosis of cardiomyocytes. Signal Trans Target Ther. (2023) 8:99. doi: 10.1038/s41392-022-01306-2

PubMed Abstract | Crossref Full Text | Google Scholar

68. Shao Y, Li M, Yu Q, Gong M, Wang Y, Yang X, et al. CircRNA CDR1as promotes cardiomyocyte apoptosis through activating hippo signaling pathway in diabetic cardiomyopathy. Eur J Pharmacol. (2022) 922:174915. doi: 10.1016/j.ejphar.2022.174915

PubMed Abstract | Crossref Full Text | Google Scholar

69. Yang F, Li A, Qin Y, Che H, Wang Y, Lv J, et al. A novel circular RNA mediates pyroptosis of diabetic cardiomyopathy by functioning as a competing endogenous RNA. Mol Ther Nucleic Acids. (2019) 17:636–43. doi: 10.1016/j.omtn.2019.06.026

PubMed Abstract | Crossref Full Text | Google Scholar

70. Shen M, Wu Y, Li L, Zhang L, Liu G, Wang R. CircMAP3K5 promotes cardiomyocyte apoptosis in diabetic cardiomyopathy by regulating miR-22-3p/DAPK2 axis. J Diabetes. (2023) 16(1):e13471. doi: 10.1111/1753-0407.13471

PubMed Abstract | Crossref Full Text | Google Scholar

71. Bai Y, Zhang Y, Han B, Yang L, Chen X, Huang R, et al. Circular RNA DLGAP4 ameliorates ischemic stroke outcomes by targeting miR-143 to regulate endothelial-mesenchymal transition associated with blood-brain barrier integrity. J Neurosci. (2018) 38:32–50. doi: 10.1523/jneurosci.1348-17.2017

PubMed Abstract | Crossref Full Text | Google Scholar

72. Han B, Zhang Y, Zhang Y, Bai Y, Chen X, Huang R, et al. Novel insight into circular RNA HECTD1 in astrocyte activation via autophagy by targeting MIR142-TIPARP: implications for cerebral ischemic stroke. Autophagy. (2018) 14:1164–84. doi: 10.1080/15548627.2018.1458173

PubMed Abstract | Crossref Full Text | Google Scholar

73. Chen W, Wang H, Feng J, Chen LJM. Overexpression of circRNA circUCK2 attenuates cell apoptosis in cerebral ischemia-reperfusion injury via miR-125b-5p/GDF11 signaling. Mol Ther Nucleic Acids. (2020) 22:673–83. doi: 10.1016/j.omtn.2020.09.032

PubMed Abstract | Crossref Full Text | Google Scholar

74. Chen W, Wang H, Zhu Z, Feng J, Chen LJM. Exosome-Shuttled circSHOC2 from IPASs regulates neuronal autophagy and ameliorates ischemic brain injury via the miR-7670-3p/SIRT1 axis. Mol Ther Nucleic Acids. (2020) 22:657–72. doi: 10.1016/j.omtn.2020.09.027

PubMed Abstract | Crossref Full Text | Google Scholar

75. Chen W, Zhang Y, Yin M, Cheng Z, Li D, Luo X, et al. Circular RNA circPRDX3 mediates neuronal survival apoptosis in ischemic stroke by targeting miR-641 and NPR3. Brain Res. (2022) 1797:148114. doi: 10.1016/j.brainres.2022.148114

PubMed Abstract | Crossref Full Text | Google Scholar

76. Qi J, Meng C, Mo J, Shou T, Ding L, Zhi T. CircAFF2 promotes neuronal cell injury in intracerebral hemorrhage by regulating the miR-488/ca-3 axis. Neuroscience. (2023) 535:75–87. doi: 10.1016/j.neuroscience.2023.10.014

PubMed Abstract | Crossref Full Text | Google Scholar

77. Peng F, Gong W, Li S, Yin B, Zhao C, Liu W, Chen X, et al. circRNA_010383 acts as a sponge for miR-135a and its downregulated expression contributes to renal fibrosis in diabetic nephropathy. Diabetes. (2020) 70(2):603–15. doi: 10.2337/db20-0203

Crossref Full Text | Google Scholar

78. Cao S, Huang Y, Dai Z, Liao Y, Zhang J, Wang L, Hao Z, et al. Circular RNA mmu_circ_0001295 from hypoxia pretreated adipose-derived mesenchymal stem cells (ADSCs) exosomes improves outcomes and inhibits sepsis-induced renal injury in a mouse model of sepsis. Bioengineered. (2022) 13:6323–31. doi: 10.1080/21655979.2022.2044720

PubMed Abstract | Crossref Full Text | Google Scholar

79. Zhang Y, Hu J, Qu X, Hu K. Circular RNA RSU1 promotes retinal vascular dysfunction by regulating miR-345-3p/TAZ. Commun Biol. (2023) 6:719. doi: 10.1038/s42003-023-05064-x

PubMed Abstract | Crossref Full Text | Google Scholar

80. Wang T, Li S, Li X, Li C, Wang F, Jiang Q. Targeting circular RNA-Glra2 alleviates retinal neurodegeneration induced by ocular hypertension. Aging. (2023) 15:10705–31. doi: 10.18632/aging.205108

PubMed Abstract | Crossref Full Text | Google Scholar

81. Dinh P, Peng J, Tran T, Wu D, Tran C, Dinh T, et al. Identification of hsa_circ_0001445 of a novel circRNA-miRNA-mRNA regulatory network as potential biomarker for coronary heart disease. Front Cardiovasc Med. (2023) 10:1104223. doi: 10.3389/fcvm.2023.1104223

PubMed Abstract | Crossref Full Text | Google Scholar

82. Chen G, He H, Hu K, Gao J, Li J, Han M, et al. Sensitive biomarker analysis of Xue-Fu-Zhu-Yu capsule for patients with qi stagnation and blood stasis pattern: a nested case-control study. Evid Based Complement Alternat Med. (2019) 2019:7182865. doi: 10.1155/2019/7182865

PubMed Abstract | Crossref Full Text | Google Scholar

83. Zhang J, Luo C, Xiong X, Li J, Tang S, Sun L, et al. MiR-21-5p-expressing bone marrow mesenchymal stem cells alleviate myocardial ischemia/reperfusion injury by regulating the circRNA_0031672/miR-21-5p/programmed cell death protein 4 pathway. J Geriatr Cardiol. (2021) 18:1029–43. doi: 10.11909/j.issn.1671-5411.2021.12.004

PubMed Abstract | Crossref Full Text | Google Scholar

84. Ralapanawa U, Sivakanesan R. Epidemiology and the magnitude of coronary artery disease and acute coronary syndrome: a narrative review. J Epidemiol Glob Health. (2021) 11:169–77. doi: 10.2991/jegh.k.201217.001

PubMed Abstract | Crossref Full Text | Google Scholar

85. Bots SH, Peters SA, Woodward M. Sex differences in coronary heart disease and stroke mortality: a global assessment of the effect of ageing between 1980 and 2010. BMJ Glob Health. (2017) 2:e000298. doi: 10.1136/bmjgh-2017-000298

PubMed Abstract | Crossref Full Text | Google Scholar

86. Lin F, Yang Y, Guo Q, Xie M, Sun S, Wang X, Li D, et al. Analysis of the molecular mechanism of acute coronary syndrome based on circRNA-miRNA network regulation. Evid Based Complement Alternat Med. (2020) 2020:1584052. doi: 10.1155/2020/1584052

PubMed Abstract | Crossref Full Text | Google Scholar

87. Lin X, Zhang L, Zhang W, Lei X, Lu Q, Ma A. Circular RNA circ_0001006 aggravates cardiac hypertrophy via miR-214-3p/PAK6 axis. Aging. (2022) 14:2210–20. doi: 10.18632/aging.203461

PubMed Abstract | Crossref Full Text | Google Scholar

88. Chen J, Hua L, Zhao C, Jia Q, Zhang J, Yuan J, et al. Quantitative proteomics reveals the regulatory networks of circular RNA BTBD7_hsa_circ_0000563 in human coronary artery. J Clin Lab Anal. (2020) 34:e23495. doi: 10.1002/jcla.23495

PubMed Abstract | Crossref Full Text | Google Scholar

89. He G, Li J, Nie Z, Sun S, Feng Y, Huang Y. Expression profiles and functional analysis of plasma exosomal circular RNAs in acute myocardial infarction. BioMed Res Int. (2022) 2022:3458227. doi: 10.1155/2022/3458227

PubMed Abstract | Crossref Full Text | Google Scholar

90. Fu Y, He S, Li C, Gan X, Wang Y, Zhou Y, et al. Detailed profiling of m6A modified circRNAs and synergistic effects of circRNA and environmental risk factors for coronary artery disease. Eur J Pharmacol. (2023) 951:175761. doi: 10.1016/j.ejphar.2023.175761

PubMed Abstract | Crossref Full Text | Google Scholar

91. Yin L, Tang Y, Jiang MJ. Research on the circular RNA bioinformatics in patients with acute myocardial infarction. J Clin Lab Anal. (2021) 35:e23621. doi: 10.1002/jcla.23621

PubMed Abstract | Crossref Full Text | Google Scholar

92. Ni C, Qiu H, Zhang S, Zhang Q, Zhang R, Zhou J, et al. CircRNA-3302 promotes endothelial-to-mesenchymal transition via sponging miR-135b-5p to enhance KIT expression in Kawasaki disease. Cell Death Discov. (2022) 8:299. doi: 10.1038/s41420-022-01092-4

PubMed Abstract | Crossref Full Text | Google Scholar

93. Dong S, Tu C, Ye X, Li L, Zhang M, Xue A, et al. Expression profiling of circular RNAs and their potential role in early-stage diabetic cardiomyopathy. Mol Med Rep. (2020) 22:1958–68. doi: 10.3892/mmr.2020.11248

PubMed Abstract | Crossref Full Text | Google Scholar

94. Costa M, Calderon-Dominguez M, Mangas A, Campuzano O, Sarquella-Brugada G, Ramos M, et al. Circulating circRNA as biomarkers for dilated cardiomyopathy etiology. J Mol Med. (2021) 99:1711–25. doi: 10.1007/s00109-021-02119-6

PubMed Abstract | Crossref Full Text | Google Scholar

95. Guo Q, Wang J, Sun R, He Z, Chen Q, Liu W, et al. Comprehensive construction of a circular RNA-associated competing endogenous RNA network identified novel circular RNAs in hypertrophic cardiomyopathy by integrated analysis. Front Genet. (2020) 11:764. doi: 10.3389/fgene.2020.00764

PubMed Abstract | Crossref Full Text | Google Scholar

96. Liu T, Zhang G, Wang Y, Rao M, Zhang Y, Guo A, et al. Identification of circular RNA-MicroRNA-messenger RNA regulatory network in atrial fibrillation by integrated analysis. BioMed Res Int. (2020) 2020:8037273. doi: 10.1155/2020/8037273

PubMed Abstract | Crossref Full Text | Google Scholar

97. Zheng M, Lou J, Fan Y, Fu C, Mao X, Li X, et al. Identification of autophagy-associated circRNAs in sepsis-induced cardiomyopathy of mice. Sci Rep. (2023) 13:11807. doi: 10.1038/s41598-023-38998-7

PubMed Abstract | Crossref Full Text | Google Scholar

98. Zhu J, Chen Z, Peng X, Zheng Z, Le A, Guo J, et al. Extracellular vesicle-derived circITGB1 regulates dendritic cell maturation and cardiac inflammation via miR-342-3p/NFAM1. Oxid Med Cell Longev. (2022) 2022:8392313. doi: 10.1155/2022/8392313

PubMed Abstract | Crossref Full Text | Google Scholar

99. Zhu Y, Zhao P, Sun L, Lu Y, Zhu W, Zhang J, et al. Overexpression of circRNA SNRK targets miR-103-3p to reduce apoptosis and promote cardiac repair through GSK3β/β-catenin pathway in rats with myocardial infarction. Cell Death Discov. (2021) 7:84. doi: 10.1038/s41420-021-00467-3

PubMed Abstract | Crossref Full Text | Google Scholar

100. Garikipati V, Verma S, Cheng Z, Liang D, Truongcao M, Cimini M, et al. Circular RNA CircFndc3b modulates cardiac repair after myocardial infarction via FUS/VEGF-A axis. Nat Commun. (2019) 10:4317. doi: 10.1038/s41467-019-11777-7

PubMed Abstract | Crossref Full Text | Google Scholar

101. Lin Z, Zhao Y, Dai F, Su E, Li F, Yan Y. Analysis of changes in circular RNA expression and construction of ceRNA networks in human dilated cardiomyopathy. J Cell Mol Med. (2021) 25:2572–83. doi: 10.1111/jcmm.16251

PubMed Abstract | Crossref Full Text | Google Scholar

102. Sonnenschein K, Wilczek A, de Gonzalo-Calvo D, Pfanne A, Derda A, Zwadlo C, et al. Serum circular RNAs act as blood-based biomarkers for hypertrophic obstructive cardiomyopathy. Sci Rep. (2019) 9:20350. doi: 10.1038/s41598-019-56617-2

PubMed Abstract | Crossref Full Text | Google Scholar

103. Sun W, Han B, Cai D, Wang J, Jiang D, Jia H. Differential expression profiles and functional prediction of circular RNAs in pediatric dilated cardiomyopathy. Front Mol Biosci. (2020) 7:600170. doi: 10.3389/fmolb.2020.600170

PubMed Abstract | Crossref Full Text | Google Scholar

104. Meng Z, Chen C, Cao H, Wang J, Shen EJ. Whole transcriptome sequencing reveals biologically significant RNA markers and related regulating biological pathways in cardiomyocyte hypertrophy induced by high glucose. J Cell Biochem. (2019) 120:1018–27. doi: 10.1002/jcb.27546

PubMed Abstract | Crossref Full Text | Google Scholar

105. Yang M, Wang H, Han S, Jia X, Zhang S, Dai F, et al. Circular RNA expression in isoproterenol hydrochloride-induced cardiac hypertrophy. Aging. (2020) 12:2530–44. doi: 10.18632/aging.102761

PubMed Abstract | Crossref Full Text | Google Scholar

106. Chen Y, Zhong L, Hong X, Zhu Q, Wang S, Han J, et al. Integrated analysis of circRNA-miRNA-mRNA ceRNA network in cardiac hypertrophy. Front Genet. (2022) 13:781676. doi: 10.3389/fgene.2022.781676

PubMed Abstract | Crossref Full Text | Google Scholar

107. Li H, Xu J, Fang X, Zhu J, Yang J, Pan R, et al. Circular RNA circRNA_000203 aggravates cardiac hypertrophy via suppressing miR-26b-5p and miR-140-3p binding to Gata4. Cardiovasc Res. (2020) 116:1323–34. doi: 10.1093/cvr/cvz215

PubMed Abstract | Crossref Full Text | Google Scholar

108. Wang K, Long B, Liu F, Wang J, Liu C, Zhao B, et al. A circular RNA protects the heart from pathological hypertrophy and heart failure by targeting miR-223. Eur Heart J. (2016) 37:2602–11. doi: 10.1093/eurheartj/ehv713

PubMed Abstract | Crossref Full Text | Google Scholar

109. Lu P, Zhang D, Ding F, Ma J, Xiang Y, Zhao M. Silencing of circCacna1c inhibits ISO-induced cardiac hypertrophy through miR-29b-2-5p/NFATc1 axis. Cells. (2023) 12:1667. doi: 10.3390/cells12121667

PubMed Abstract | Crossref Full Text | Google Scholar

110. Liu Q, Han B, Zhang Y, Jiang T, Ning J, Kang A, et al. Potential molecular mechanism of cardiac hypertrophy in mice induced by exposure to ambient PM. Ecotoxicol Environ Saf. (2021) 224:112659. doi: 10.1016/j.ecoenv.2021.112659

PubMed Abstract | Crossref Full Text | Google Scholar

111. Wang L, Feng J, Feng X, Meng D, Zhao X, Wang J, et al. Exercise-induced circular RNA circUtrn is required for cardiac physiological hypertrophy and prevents myocardial ischemia-reperfusion injury. Cardiovasc Res. (2023) 119(16):2638–52. doi: 10.1093/cvr/cvad161

PubMed Abstract | Crossref Full Text | Google Scholar

112. Zhu Y, Zheng C, Zhang R, Yan J, Li M, Ma S, et al. Circ-Ddx60 contributes to the antihypertrophic memory of exercise hypertrophic preconditioning. J Adv Res. (2023) 46:113–21. doi: 10.1016/j.jare.2022.06.005

PubMed Abstract | Crossref Full Text | Google Scholar

113. Yang M, Wang W, Wang L, Li YJA. Circ_0001052 promotes cardiac hypertrophy via elevating Hipk3. Aging. (2023) 15:1025–38. doi: 10.18632/aging.204521

PubMed Abstract | Crossref Full Text | Google Scholar

114. Pan J, Xu Z, Guo G, Xu C, Song Z, Li K, et al. Circ_nuclear factor I X (circNfix) attenuates pressure overload-induced cardiac hypertrophy via regulating miR-145-5p/ATF3 axis. Bioengineered. (2021) 12:5373–85. doi: 10.1080/21655979.2021.1960462

PubMed Abstract | Crossref Full Text | Google Scholar

115. Mahmud E, Madani M, Kim N, Poch D, Ang L, Behnamfar O, et al. Chronic thromboembolic pulmonary hypertension: evolving therapeutic approaches for operable and inoperable disease. J Am Coll Cardiol. (2018) 71:2468–86. doi: 10.1016/j.jacc.2018.04.009

PubMed Abstract | Crossref Full Text | Google Scholar

116. Miao R, Dong X, Gong J, Li Y, Guo X, Wang J, et al. Single-cell RNA-sequencing and microarray analyses to explore the pathological mechanisms of chronic thromboembolic pulmonary hypertension. Front Cardiovasc Med. (2022) 9:900353. doi: 10.3389/fcvm.2022.900353

PubMed Abstract | Crossref Full Text | Google Scholar

117. Ye J, Shan Y, Zhou X, Tian T, Gao WJ. Identification of novel circular RNA targets in key penumbra region of rats after cerebral ischemia-reperfusion injury. J Mol Neurosci. (2023) 73(9–10):751–62. doi: 10.1007/s12031-023-02153-8

PubMed Abstract | Crossref Full Text | Google Scholar

118. Duan X, Li L, Gan J, Peng C, Wang X, Chen W, et al. Identification and functional analysis of circular RNAs induced in rats by middle cerebral artery occlusion. Gene. (2019) 701:139–45. doi: 10.1016/j.gene.2019.03.053

PubMed Abstract | Crossref Full Text | Google Scholar

119. Chen Y, Wang B, Liu W, Xu P, Song LJ. Diagnostic value of Serum hsa_circ_0141720 in patients with acute ischemic stroke. Clin Lab. (2020) 66:1667–82. doi: 10.7754/Clin.Lab.2020.191266

Crossref Full Text | Google Scholar

120. Liu C, Zhang C, Yang J, Geng X, Du H, Ji X, et al. Screening circular RNA expression patterns following focal cerebral ischemia in mice. Oncotarget. (2017) 8:86535–47. doi: 10.18632/oncotarget.21238

PubMed Abstract | Crossref Full Text | Google Scholar

121. Yuan L, Chen W, Xiang J, Deng Q, Hu Y, Li J. Advances of circRNA-miRNA-mRNA regulatory network in cerebral ischemia/reperfusion injury. Exp Cell Res. (2022) 419:113302. doi: 10.1016/j.yexcr.2022.113302

PubMed Abstract | Crossref Full Text | Google Scholar

122. Li F, Li C, Li X, Li Y, Zhong Y, Ling L. Altered circular RNA expression profiles in the non-ischemic thalamus in focal cortical infarction mice. Aging. (2020) 12:13206–19. doi: 10.18632/aging.103424

PubMed Abstract | Crossref Full Text | Google Scholar

123. Huang R, Zhang W, Li W, Gao Y, Zheng D, Bi G. Overexpressing circ_0000831 is sufficient to inhibit neuroinflammation and vertigo in cerebral ischemia through a miR-16-5p-dependent mechanism. Exp Neurol. (2022) 353:114047. doi: 10.1016/j.expneurol.2022.114047

PubMed Abstract | Crossref Full Text | Google Scholar

124. Chen G, Shan X, Li L, Dong L, Huang G, Tao H. circHIPK3 regulates apoptosis and mitochondrial dysfunction induced by ischemic stroke in mice by sponging miR-148b-3p via CDK5R1/SIRT1. Exp Neurol. (2022) 355:114115. doi: 10.1016/j.expneurol.2022.114115

PubMed Abstract | Crossref Full Text | Google Scholar

125. Hong T, Zhao T, He W, Xia J, Huang Q, Yang J, et al. Exosomal circBBS2 inhibits ferroptosis by targeting miR-494 to activate SLC7A11 signaling in ischemic stroke. FASEB J. (2023) 37:e23152. doi: 10.1096/fj.202300317RRR

PubMed Abstract | Crossref Full Text | Google Scholar

126. Wu F, Han B, Wu S, Yang L, Leng S, Li M, et al. TLK1Circular RNA aggravates neuronal injury and neurological deficits after ischemic stroke via miR-335-3p/TIPARP. J Neurosci. (2019) 39:7369–93. doi: 10.1523/jneurosci.0299-19.2019

PubMed Abstract | Crossref Full Text | Google Scholar

127. Dai Q, Ma Y, Xu Z, Zhang L, Yang H, Liu Q, et al. Downregulation of circular RNA HECTD1 induces neuroprotection against ischemic stroke through the microRNA-133b/TRAF3 pathway. Life Sci. (2021) 264:118626. doi: 10.1016/j.lfs.2020.118626

PubMed Abstract | Crossref Full Text | Google Scholar

128. Ren X, Jing Y, Zhou Z, Yang JJ. Knockdown of circRNA-Memo1 reduces hypoxia/reoxygenation injury in human brain endothelial cells through miRNA-17-5p/SOS1 axis. Mol Neurobiol. (2022) 59:2085–97. doi: 10.1007/s12035-022-02743-4

PubMed Abstract | Crossref Full Text | Google Scholar

129. Liu Z, Wu X, Yu Z, Tang XJ. Reconstruction of circRNA-miRNA-mRNA associated ceRNA networks reveal functional circRNAs in intracerebral hemorrhage. Sci Rep. (2021) 11:11584. doi: 10.1038/s41598-021-91059-9

PubMed Abstract | Crossref Full Text | Google Scholar

130. Kim J, Moon J, Yu J, Park D, Jung KJ. Therapeutic target MicroRNA identification based on circular RNA expression signature after intracerebral hemorrhage. Mol Neurobiol. (2023) 61(2):908–18. doi: 10.1007/s12035-023-03612-4

PubMed Abstract | Crossref Full Text | Google Scholar

131. Dou Z, Yu Q, Wang G, Wu S, Reis C, Ruan W, et al. Circular RNA expression profiles alter significantly after intracerebral hemorrhage in rats. Brain Res. (2020) 1726:146490. doi: 10.1016/j.brainres.2019.146490

PubMed Abstract | Crossref Full Text | Google Scholar

132. Bai C, Hao X, Zhou L, Sun Y, Song L, Wang F, et al. Machine learning-based identification of the novel circRNAs circERBB2 and circCHST12 as potential biomarkers of intracerebral hemorrhage. Front Neurosci. (2022) 16:1002590. doi: 10.3389/fnins.2022.1002590

PubMed Abstract | Crossref Full Text | Google Scholar

133. Cai W, Li J, Su JJ. Effects of renal denervation on the expression profile of circular RNA in the serum of patients with resistant hypertension. Hellenic J Cardiol. (2022) 63:66–74. doi: 10.1016/j.hjc.2021.06.007

PubMed Abstract | Crossref Full Text | Google Scholar

134. Chrifi I, Louzao-Martinez L, Brandt M, van Dijk C, Bürgisser P, Zhu C, et al. CMTM4 Regulates angiogenesis by promoting cell surface recycling of VE-cadherin to endothelial adherens junctions. Angiogenesis. (2019) 22:75–93. doi: 10.1007/s10456-018-9638-1

PubMed Abstract | Crossref Full Text | Google Scholar

135. Kretschmer M, Rüdiger D, Zahler SJC. Mechanical aspects of angiogenesis. Cancers. (2021) 13(19):4987. doi: 10.3390/cancers13194987

PubMed Abstract | Crossref Full Text | Google Scholar

136. Naito H, Iba T, Takakura NJ. Mechanisms of new blood-vessel formation and proliferative heterogeneity of endothelial cells. Int Immunol. (2020) 32:295–305. doi: 10.1093/intimm/dxaa008

PubMed Abstract | Crossref Full Text | Google Scholar

137. Zeng A, Wang S, He Y, Yan Y, Zhang Y. Progress in understanding of the stalk and tip cells formation involvement in angiogenesis mechanisms. Tissue Cell. (2021) 73:101626. doi: 10.1016/j.tice.2021.101626

PubMed Abstract | Crossref Full Text | Google Scholar

138. Li X, Kumar A, Carmeliet PJ. Metabolic pathways fueling the endothelial cell drive. Ann Rev Physiol. (2019) 81:483–503. doi: 10.1146/annurev-physiol-020518-114731

PubMed Abstract | Crossref Full Text | Google Scholar

139. Wang T, Zang G, Zhang L, Sun Z, Liu J, Hou L, et al. Role of pericytes in diabetic angiogenesis. J Cardiovasc Pharmacol. (2022) 79:e1–e10. doi: 10.1097/fjc.0000000000001147

PubMed Abstract | Crossref Full Text | Google Scholar

140. Zhang S, Chen X, Li C, Li X, Liu C, Liu B, et al. Identification and characterization of circular RNAs as a new class of putative biomarkers in diabetes retinopathy. Invest Opthalmol Vis Sci. (2017) 58:6500–9. doi: 10.1167/iovs.17-22698

PubMed Abstract | Crossref Full Text | Google Scholar

141. Li S, Hu W, Deng F, Chen S, Zhu P, Wang M, et al. Identification of circular RNA hsa_circ_0001599 as a novel biomarker for large-artery atherosclerotic stroke. DNA Cell Biol. (2021) 40:457–68. doi: 10.1089/dna.2020.5662

PubMed Abstract | Crossref Full Text | Google Scholar

142. Jin-Yu S, Yan S, Xin-Yong C, Jiao L. Potential diagnostic and therapeutic value of circular RNAs in cardiovascular diseases. Cell Signal. (2020) 71:109604. doi: 10.1016/j.cellsig.2020.109604

PubMed Abstract | Crossref Full Text | Google Scholar

143. Ahmed S B, Tatsuya A, Jian-Peng T, Yao-Liang T, Il-Man K. Circular noncoding RNAs as potential therapies and circulating biomarkers for cardiovascular diseases. Acta Pharmacol Sin. (2018) 39:1100–9. doi: 10.1038/aps.2017.196

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: cardiovascular diseases, circRNA, risk, cerebrovascular disease, diagnostic

Citation: Cheng K-y, Wang S-w, Lan T, Mao Z-j, Xu Y-y, Shen Q and Zeng X-x (2024) CircRNA-mediated regulation of cardiovascular disease. Front. Cardiovasc. Med. 11:1411621. doi: 10.3389/fcvm.2024.1411621

Received: 19 April 2024; Accepted: 8 November 2024;
Published: 26 November 2024.

Edited by:

Robert Lust, East Carolina University, United States

Reviewed by:

Jinyu Huang, Hangzhou First People's Hospital, China
Baonian Liu, Shanghai University of Traditional Chinese Medicine, China

Copyright: © 2024 Cheng, Wang, Lan, Mao, Xu, Shen and Zeng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xi-xi Zeng, MjIzMzY3NzkyMkBxcS5jb20=; Qing Shen, bGVvbnFzaGVuQDE2My5jb20=

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