Skip to main content
Springer logoLink to Springer
. 2024 Mar 15;21(3):262–275. doi: 10.1007/s11897-024-00653-1

Non-Coding Ribonucleic Acids as Diagnostic and Therapeutic Targets in Cardiac Fibrosis

Samuel R Olson 1, W H Wilson Tang 2,3, Chia-Feng Liu 2,
PMCID: PMC11090942  PMID: 38485860

Abstract

Purpose of Review

Cardiac fibrosis is a crucial juncture following cardiac injury and a precursor for many clinical heart disease manifestations. Epigenetic modulators, particularly non-coding RNAs (ncRNAs), are gaining prominence as diagnostic and therapeutic tools.

Recent Findings

miRNAs are short linear RNA molecules involved in post-transcriptional regulation; lncRNAs and circRNAs are RNA sequences greater than 200 nucleotides that also play roles in regulating gene expression through a variety of mechanisms including miRNA sponging, direct interaction with mRNA, providing protein scaffolding, and encoding their own products. NcRNAs have the capacity to regulate one another and form sophisticated regulatory networks. The individual roles and disease relevance of miRNAs, lncRNAs, and circRNAs to cardiac fibrosis have been increasingly well described, though the complexity of their interrelationships, regulatory dynamics, and context-specific roles needs further elucidation.

Summary

This review provides an overview of select ncRNAs relevant in cardiac fibrosis as a surrogate for many cardiac disease states with a focus on crosstalk and regulatory networks, variable actions among different disease states, and the clinical implications thereof. Further, the clinical feasibility of diagnostic and therapeutic applications as well as the strategies underway to advance ncRNA theranostics is explored.

Keywords: Cardiac fibrosis, Epigenetic modulation, Non-coding RNAs, microRNA (miRNA), Long non-coding RNA (lncRNA), Circular RNA (circRNA), Regulatory networks

Introduction

Following cardiac insult, fibrosis develops by excessive extracellular matrix (ECM) accumulation that creates tissue microenvironments affected by inflammation and oxidative stress, enhancing profibrotic signaling cascades responsible for tissue disruption and clinically detectable pathologic derangements [1, 2]. Fibrosis is an important adaptive process, but excessive fibrosis leads to organ dysfunction such as that seen in heart failure [3]. Thus, there is a strong impetus for the development of clinical tools to address fibrosis. Heart disease remains the most common cause of death in the United States, with deaths from heart disease rising from 596,577 in 2011 to 696,962 in 2020 [4]. Therapies targeting fibrosis have shown potential in preclinical research; however, many challenges remain in the translation of this work to patient care such as drug delivery and off-target effects [5].

Epigenetic regulators, which traditionally modify the expression of DNA and RNA without altering the original nucleotide sequence, have emerged as novel targets for the treatment of cardiac fibrosis and heart failure (HF) [6, 7]. Non-coding RNAs (ncRNAs) include microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), each with specific and nuanced regulatory roles [8]. MiRNAs, small 20–24 nucleotide sequences, regulate genes post-transcriptionally, typically by repressing the translation of messenger RNAs (mRNAs) [9]. MiRNA dysregulation is seen in a myriad of cardiovascular diseases, making them valuable as diagnostic and therapeutic targets [10]. LncRNAs are 200 or more nucleotide RNAs serving as key regulators of gene expression in cardiac fibrosis [11]. There are thousands of lncRNAs encoded in the human genome with a diversity of roles including direct gene enhancement or silencing, trafficking of nuclear factors, DNA repair, protein binding, sponging miRNAs, and others [12]. Like lncRNAs, circRNAs are 200 or more nucleotide-long sequences with high regulatory versatility and a unique, highly stable closed-loop structure [13]. CircRNAs also express a broad range of regulatory capabilities, often by sponging miRNAs, but also by acting as reservoirs, binding proteins directly, recruiting proteins to specific cellular sites, encoding micropeptides, and producing daughter ncRNAs [14, 15]. Importantly, many miRNAs, lncRNAs, and circRNAs have been observed to exhibit differential regulation patterns across disease states often with promiscuous targeting of mRNA, DNA, proteins, and other ncRNAs, forming sophisticated regulatory networks with high context dependence [16]. These features of ncRNAs establish the regulatory prowess foundational to their potential in diagnostic and therapeutic applications but also present cardinal challenges for clinical development.

In this review, we will examine the signaling mediators central to cardiac fibrosis and HF and define how ncRNAs interact among these pathways while also highlighting ncRNAs as potential biomarkers and future pharmacotherapies for the evaluation and treatment of fibrotic cardiac disease.

Micro-RNAs’ Importance to Cardiac Fibrosis

There is an expanding catalog of miRNAs differentially expressed in cardiac tissues [17]. In the context of cardiac fibrosis and HF, miRNAs are crucial regulators of transforming growth factor beta (TGFβ)-signaling networks [18]. MiRNAs may bind to mRNA targets at multiple different coding or non-coding sites to silence or induce degradation, but they can also act as promoters of translation [19]. MiRNAs may be conceptualized as primary or direct epigenomic effectors themselves, regulated by secondary epitranscriptomic regulators including lncRNAs and circRNAs. However, miRNAs can also act to regulate target lncRNAs or circRNAs. For example, miR-22 and the lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) were shown to have a reciprocal relationship in endothelial cells, where inhibition of miR-22 increased lncRNA MALAT1 levels, while inhibition of lncRNA MALAT1 increased miR-22 levels [20].

As therapeutic targets, miRNAs are attractive due to their linear, single-strand structure, making them highly druggable by specific oligonucleotide inhibitors [21]. Challenges facing miRNA therapies include the tendency for a single miRNA to have multiple targets, including mRNA, DNA, proteins, or other ncRNAs, as well as the fact that perfect miRNA-target complementarity is not functionally requisite [22]. As biomarkers, circulating miRNAs have shown potential to inform diagnosis, progression, and prognosis across various cardiac disease states, including heart failure, myocardial infarction, and myocarditis [23]. Biomarker applications face challenges given that structurally, miRNAs are vulnerable to RNAse enzymes in circulation and therefore require transport either within exosomes or bound to stabilizing proteins like argonaute 2, an endogenous component of the functional miRNA complex [24]. Further, many miRNAs are conserved across tissue types, which raises challenges for the establishment of disease specificity in some cases [25].

Altogether, confidence in miRNA clinical applications remains high, although much work remains to establish feasibility in patient care. Here, we will review the mechanisms and clinical potential of select miRNAs well-studied in cardiovascular disease.

MiR-29

MiR-29 is a central regulator of cardiac fibrosis and HF, representing a family of three miRNAs, miR-29a, miR-29b, and miR-29c [26]. Dozens of direct and indirect targets of miR-29 have been identified in cardiac fibroblasts, most importantly those for ECM components including collagen, fibrillin, and matrix metalloproteinases involved in ECM degradation [27]. The miR-29 family are high-level regulators of TGFβ signaling relevant to all fibrotic cardiovascular diseases (Table 1).

Table 1.

Proposed roles of miR-29 family across common cardiac disease states

Disease state Target(s) Effects of targeting miR-29 Ref
Myocardial Infarction PI3K/mTOR/HIF1α/VEGF; SH2B3 Inhibition via lentiviral antimir-29 led to a favorable increase in VEGF expression, while induced overexpression of miR-29 increased fibrosis [28, 29]
Coronary atherosclerosis COL1A1, COL1A2, COL3A1, COL4A1, COL5A2, FBN1, MMP2 Inhibition via antimir-29 decreased plaque stability [30]
Congestive heart failure GSK3B, ICAT/CTNNBIP1, HBP1 and GLIS2 Inhibition of miR-29 decreased hypertrophy and fibrosis [31]
Atrial fibrillation Cx43, PDGF-B; TGFβ-R1 Overexpression via AAV-miR-29b-3p decreased fibrosis [32, 33]
Aortic aneurysm COL1A1, COL2A1, COL3A1, COL5A1, Elastin, MMP2, MMP9 Inhibition via antimir-29b increased fibrosis by promoting ECM expression [34]

PI3K phosphoinositide 3-kinase, mTOR mammalian target of rapamycin, HIF1α hypoxia-inducible factor 1-alpha, VEGF vascular endothelial growth factor, SH2B3 Src homology 2B3, COL1A1 collagen type I alpha 1 chain, COL1A2 collagen type I alpha 2 chain, COL3A1 collagen type III alpha 1 chain, COL4A1 collagen type IV alpha 1 chain, COL5A2 collagen type V alpha 2 chain, FBN1 fibrillin 1, MMP2 matrix metalloproteinase 2, GSK3B glycogen synthase kinase 3 beta, ICAT/CTNNBIP1 inhibitor of beta-catenin, TCF transcription factor, HBP1 high mobility group AT-Hook 1, GLIS2 GLIS family zinc finger 2, Cx43 connexin 43, PDGF-B platelet-derived growth factor-B, TGFβ-R1 transforming growth factor-beta receptor 1, MMP9 matrix metalloproteinase 9

The apparent specificity of miR-29 for fibrosis makes it an attractive target for diagnostic and therapeutic applications. MiR-29a has been described as the only biomarker specific to fibrosis in the setting of hypertrophic cardiomyopathy [35]. Similarly, miR-29b has been shown as a viable biomarker indicating fibrosis in dilated cardiomyopathy and diabetes-associated cardiac fibrosis [36, 37].

Therapeutic applications of miR-29 have been explored in preclinical studies. In a model of chronic coronary atherosclerosis, inhibition of all miR-29 isoforms resulted in a profibrotic effect; however, this was ultimately beneficial to plaque stability and the size of atherosclerotic lesions, suggesting miR-29 therapies could benefit patients with vulnerable atherosclerotic lesions by reducing coronary events and lessening the severity of ischemic cardiomyopathy [30]. In heart failure, there have been conflicting data on the role of miR-29. One study inhibited the miR-29 family using locked nucleotide antimiR-29, showing a potential therapeutic benefit to the inhibition of miR-29 by way of reduced hypertrophy and fibrosis [38]. In contrast, a similarly modeled study targeting miR-29 via cholesterol-conjugated antimiR-29b resulted in increased fibrosis [31]. So, while miR-29 represents a promising target, the specific clinical scenarios in which a clinical benefit may be achieved need to be further defined.

MiR-21

MiR-21 has been studied as both a biomarker and therapeutic target due to its prominent expression in multiple cardiac cell types and its importance to fibrosis and heart failure (Table 2) [39]. Numerous mechanisms have been described, primarily relating to the regulation of apoptosis and the promotion of fibrosis. After myocardial infarction, miR-21 is overexpressed in cardiomyocytes at the border zone surrounding infarcted tissue and confers a protective effect by inhibition of apoptosis which may mitigate the development of ischemic cardiomyopathy [40, 41]. In heart failure, miR-21 acts to prevent apoptosis and promotes fibrosis and hypertrophy via the TGFβ-associated Smad7 and sprouty homolog (Spry1/2) proteins [42]. Acting in a profibrotic manner in a model of hypertensive cardiomyopathy, miR-21 has been shown to mediate the activation of fibroblasts and deposition of ECM via its action upon ERK-MAPK signaling, again, through the inhibition of Spry1 [43]. MiR-21 is increased in chronic atrial fibrillation and interestingly, in a non-fibrotic role, has been shown to be involved in the control of L-type calcium channels via the regulation of subunit expressions [44].

Table 2.

MiR-21 differential expression and role in various disease states

Disease context Expression change and role in disease Ref
Myocardial infarction Early upregulation in infarct region and downregulation in border zone; impact on localized cellular response in early AMI; antifibrotic [45]
Time-dependent change: increased 1st and 2nd weeks, unchanged 4th week; time-dependent cardioprotective effect [46]
Atrial fibrillation Increased expression; correlated with atrial collagen content [47]
Increased expression in human atrial myocytes; profibrotic, also involved in L-type calcium channel regulation [44]
Heart failure Increased expression with utility in predicting rehospitalization; correlates with LVEF, BNP, and galectin-3 [48, 49]

AMI acute myocardial infarction, LVEF left ventricular ejection fraction, BNP B-type natriuretic peptide.

MiR-21 has achieved an accuracy (AUC) of 0.76 (CI 0.71–0.82) for the diagnosis of acute myocardial infarction, but when combined with miR-1 and miR-499, accuracy has improved to 0.89 (CI 0.85–0.94); adding high-sensitivity troponin T to this panel of miRNAs further increased diagnostic accuracy to 0.94 (CI 0.92–0.97) [50]. Additionally, miR-21 has been shown to display context-dependent expression patterns in heart failure patients. Circulating miR-21 is elevated in heart failures, with particularly high levels seen during symptomatic phases [42]. Another study showed circulating miR-21 was elevated in patients with heart failure regardless of the underlying etiology and was associated with mortality and rehospitalization [48]. While circulating miR-21 is detectable with differential expression in cardiovascular disease, miR-21 has also been described across many non-cardiac pathologies which may limit its future clinical utility [51].

MiR-21 stereotypes miRNAs in cardiovascular disease as complex and enigmatic targets. MiR-21 expression is increased in multiple processes and displays multiple regulatory targets that may lead to either protective or harmful effects on overall cardiac function, making it a complex candidate for diagnostic and therapeutic use.

MiR-133

MiR-133, an antifibrotic regulator, is among the most abundant miRNAs expressed in the heart [52]. There are three isoforms of miR-133 (miR-133a, 133b, and 133c); miR-133a has particular importance in apoptosis, fibrosis, hypertrophy, electrical conduction, and other processes [53].

In ischemic cardiomyopathy, miR-133a is involved in both early pathogenesis and late remodeling by way of reducing cardiomyocyte apoptosis, regulating angiogenesis, inhibiting TGFβ-dependent fibrosis, and repressing inflammatory cell infiltration [54]. MiR-133a may be downregulated in the ischemic myocardium to the detriment of the surviving tissue [55]. Post-mortem tissue expression of miR-133a has been shown to be significantly lower compared to that from surviving adult hearts after myocardial infarction, suggesting that miR-133a expression levels relate to survival outcomes, and lower levels are associated with increased mortality [56]. Patients with acute myocardial infarction have detectable circulating exosomal miR-133a even before troponin T elevation [57]. Further studies have also shown a time-dependent rise in serum concentrations of miR-133a, trending similarly to troponin I in the same samples [58]. The sensitivity and specificity of miR-133a for myocardial infarction are reviewed in Table 3.

Table 3.

Sensitivity and specificity of circulating miRNAs as biomarkers in myocardial infarction

miRNA Sensitivity [50, 59] Specificity [50, 59]
miR-499 0.88 (95% CI, 0.86–0.90; P = 0.0000), 0.84 (95% CI, 0.70–0.92) 0.87 (95% CI, 0.84–0.90; P = 0.0000), 0.97 (95% CI, 0.87–0.99)
miR-1 0.63 (95% CI, 0.59–0.66; P = 0.0000), 0.72 (95% CI, 0.61–0.81) 0.76 (95% CI, 0.71–0.80; P = 0.0000), 0.88 (95% CI, 0.79–0.94)
miR-133a 0.89 (95% CI, 0.83–0.94; P = 0.0047), 0.73 (95% CI, 0.55–0.85) 0.87 (95% CI, 0.79–0.92; P = 0.0262), 0.88 (95% CI, 0.74–0.95)
miR-208 0.78 (95% CI, 0.76–0.81; P = 0.0581), 0.83 (95% CI, 0.74–0.89) 0.88 (95% CI, 0.84–0.91; P = 0.0000), 0.96 (95% CI, 0.82–0.99)

*Formatted for clarity with comma-separated values where the 1st value is ref. [50] and the 2nd value is ref. [59]

As a therapy, synthetic miR-133a has shown the potential to counteract ventricular remodeling and prevent heart failure in a model of pressure overload [60]. In a model of ischemic heart disease, the administration of miR-133a decreased apoptosis [61]. Interestingly, existing medications have been shown to affect miR-133a activity; the mixed β-adrenergic antagonist carvedilol reduces caspase-dependent cardiomyocyte apoptosis related to oxidative stress by increasing miR-133a expression [62]. Ivabradine, an inhibitor of sinoatrial pacemaker activity used in heart failure has also been shown to increase expression of miR-133a [63].

MiR-29, miR-21, and miR-133a do well to show both the high potential of miRNAs as drug targets and biomarkers, demonstrating the potential to detect and inhibit pathologic fibrosis at the very first steps. However, the lack of target and disease specificity is equally well-exemplified.

Long Non-Coding RNAs in Cardiac Disease and Fibrosis

LncRNAs commonly act to sponge miRNAs for direct repression but also recruit proteins to cellular sites of interest, regulate mRNA splicing, control protein translation, express micropeptides, and form microcompartments to concentrate effector proteins [64, 65]. Scaffolding is one notable role; the lncRNA ANRIL antisense noncoding RNA in the INK4 locus attaches to its target gene and as a scaffold for the WDR5 (WD repeat-containing protein 5) and HDAC3 (histone deacetylase 3) proteins, leading to phenotype switching in vascular smooth muscle cells in a model of atherosclerotic heart disease [66]. Encoding micropeptides is another interesting function of lncRNAs; myoregulin, endoregulin, and another-regulin are lncRNA-encoded peptides that function as negative regulators of the sarcoplasmic reticulum Ca2+-ATPase (SERCA) critical for contractile function in the heart [67]. Like the other ncRNA classes, certain lncRNAs are differentially expressed in cardiac tissues such as lncRNA MIAT, lncRNA H19, and lncRNA MALAT1.

LncRNA MALAT1 (Metastasis-Associated Lung Adenocarcinoma Transcript 1)

LncRNA MALAT1 has been described across a variety of cancers and cardiovascular disease states as a high-level mediator of cell migration, fibrosis, and inflammation (Table 4) [68]. After myocardial infarction (MI), lncRNA MALAT1 sponges miR-26b, restoring mitochondrial-dependent apoptosis and ultimately attenuating the progression of ischemic cardiomyopathy [69]. A tRNA-like product encoded by lncRNA MALAT1 has been described, named MALAT1-associated small cytoplasmic RNA (mascRNA). MascRNA has important immunoregulatory roles in cardiac tissue via actions upon monocyte-macrophage function, notably working in ways that are separate from its parent lncRNA MALAT1 transcripts, such as modulating expression of the Fas ligand, tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6) [70].

Table 4.

Selected LncRNAs and circRNAs and their roles in cardiac pathologies

ncRNA Model Role Target(s) Effect Ref
circRNA HIPK3 Fetal mouse cardiomyocytes Inhibits proliferation N1ICD, miR-133a Stabilizes N1ICD, promotes CTGF expression [71]
Human cardiomyocytes, ischemia–reperfusion Profibrotic miR-124-3p Upregulates Bax and downregulates Bcl-2, increasing apoptosis [72]
Cardiac fibroblasts, Ang-II-induced fibrosis Profibrotic miR-29b-3p Upregulates a-SMA, COL1A1, COL3A1 [73]
Cardiac fibroblasts, hypoxia Profibrotic miR-152-3p Upregulates TGFβ2 [74]
circRNA Slc8a1 Pressure-overload-induced cardiac hypertrophy, neonatal mouse cardiomyocytes Profibrotic miR-133a Upregulates SRF, CTGF, Adrb1, Adcy6 [75]
Pressure overload, mouse Cardioprotective Unknown Increases mitochondrial ATP synthesis [76•]
circRNA ACTA2 Vascular smooth muscle cells Inhibits hyperplasia and inflammation p50 subunit of NF-κB Downregulates NLRP3, ASC, caspase 1 [77]
lncRNA MALAT1 Myocardial infarction, mouse Promotes apoptosis miR-26b-5p [69]
Diabetic cardiomyopathy, mouse Profibrotic miR-141 Downregulates NLRP3 [78]
lncRNA MIAT Angiotensin-II-induced cardiac hypertrophy Profibrotic miR-150 Upregulates TGFβ [79]
Hypertrophic cardiomyopathy Profibrotic miR-29a-3p Disinhibits TGFβ-driven fibrosis [80]
Diabetic cardiomyopathy Profibrotic miR-214-3p Upregulates IL-17 [81]
lncRNA H19 Hypoxia Profibrotic YB-1 Upregulates COL1A1 [82•]
Profibrotic miR-29a-3p/miR-29b-3p Upregulates TGFβ2 [83]

N1ICD Notch1 intracellular domain, EZH2 enhancer of zeste homolog 2, Ang-II angiotensin-II, a-SMA alpha-smooth muscle actin, COL1A1 collagen 1A1 gene, COL3A1 collagen 3A1 gene, SRF serum response factor, CTGF connective tissue growth factor, Adrb1 adrenoceptor beta 1 Adcy6 adenylate cyclase 6, IGF-1 insulin-like growth factor 1, IL-17 interleukin 17, PDCD4 programmed cell death 4

Exemplifying the reciprocal relationship between miRNAs and lncRNAs, miR-144 has been shown to directly target lncRNA MALAT1 in the setting of MI, reducing its expression and thereby inhibiting apoptosis [84]. Reducing lncRNA MALAT1 expression may improve myocardial ischemia–reperfusion injury [85]. Known biomolecules have been hypothesized to affect lncRNA MALAT1; for example, the pineal gland hormone and common sleep aid melatonin were shown to have an antifibrotic effect in a model of diabetic cardiomyopathy by inhibiting lncRNA MALAT1 and miR-141-dependent NLRP3 inflammasome activation [78].

During intervention for acute MI, lncRNA MALAT1 was shown to be an effective biomarker for successful coronary “reflow” to reestablish myocardial perfusion, versus unsuccessful “no-reflow” in patients undergoing left heart catheterization; lncRNA MALAT1 expression was markedly increased in “no-reflow” patients [86•]. Circulating serum lncRNA MALAT1 performed poorly in detecting acute MI compared to other ncRNAs; it did, however, positively correlate with inflammatory cytokine levels including TNF‐α, IL‐6, and IL‐17A reiterating its importance as an inflammatory mediator in early ischemic heart disease [87].

LncRNA MIAT (Myocardial Infarction–Associated Transcript)

LncRNA MIAT is a profibrotic regulator in the context of ischemic, hypertrophic, and other cardiomyopathies [88]. After MI, lncRNA MIAT has been shown to sponge miR-24 resulting in disinhibition of a Furin-TGFβ1 signaling cascade leading to fibrosis; when lncRNA MIAT was inhibited by a small inhibitory RNA (siRNA), cardiac function improved, supporting lncRNA MIAT as a potential drug target [89]. In another model of angiotensin-II-induced cardiac hypertrophy, targeting lncRNA MIAT with a siRNA also showed a potential to attenuate disease development by preventing lncRNA MIAT sponging of miR-150 [79].

As a biomarker, lncRNA MIAT positively correlates with acute myocardial injury and interestingly has been shown to be relatively depressed in patients with signs of transmural myocardial infarction compared to non-transmural infarction represented by the absence of ST segment elevations on electrocardiography (NSTEMI) [90]. LncRNA MIAT was proposed as an independent predictor for the development of ischemic cardiomyopathy with systolic dysfunction in the same study. Additionally, lncRNA MIAT displayed lower expression levels in patients with hypertrophic cardiomyopathy (HCM) expressing a fibrotic phenotype versus those with HCM without a fibrotic phenotype, suggesting that lncRNA MIAT may be a useful biomarker to determine the onset of fibrosis in HCM [80].

LncRNA NEAT1 (Nuclear Paraspeckle Assembly Transcript 1)

LncRNA NEAT1 regulates inflammatory signaling cascades in cardiac fibroblasts often through the facilitation of protein–protein interactions [91]. In heart failure, lncRNA NEAT1 was found to provide scaffolding between the enhancer of zeste homolog 2 (EZH2) and the Smad7 promotor region similar to lncRNA MALAT1, thereby decreasing the expression of Smad7 and leading to unbalanced TGFβ–driven fibrosis [92]. LncRNA NEAT1 also acts traditionally via the sponging of miRNAs. Sponging miR-144 in sepsis-induced myocardial injury promoted inflammation and apoptosis [93]. Sponging miR-19a in a pressure-overload-model-induced cardiac hypertrophy [94]. Interestingly, extracellular vesicles with lncRNA NEAT1 have been shown to be involved in crosstalk between cardiomyocytes and cardiac fibroblasts in response to hypoxia; where, in this setting, lncRNA NEAT1 is silenced thereby inducing caspase-mediated apoptosis in cardiac fibroblasts [95]. These mechanisms support the potential for future lncRNA NEAT1-related therapies in HF. Finally, in one study evaluating lncRNA NEAT1 as a biomarker for heart failure, serum lncRNA NEAT1 was diagnostic, and low circulating levels were able to predict overall survival [96].

LncRNAs have a wide repertoire of regulatory functions extending beyond those seen with miRNAs. Therapeutic applications for lncRNAs offer the potential to influence many pathologic junctures in sophisticated disease states. LncRNA biomarkers may allow more specific and detailed insights. Like miRNAs, identifying the unique scenarios in which lncRNAs might be utilized is pivotal.

Circular RNAs in Cardiac Disease and Fibrosis

The unique attribute of circRNAs is a continuous closed-loop structure, allowing for circulatory stability with resistance to nucleases that degrade linear RNAs [97, 98]. CircRNAs function as sponges to miRNAs, bind proteins directly, and like lncRNAs, can encode their own proteins [99]. CircRNAs can contain 200–2000 base pairs, giving each a massive array of potential regulatory functions with many potential targets and binding sites [100, 101]. The relationship between circRNAs and other ncRNAs has been predominantly described in terms of miRNA inhibition by sponging; however, both positive and negative regulatory mechanisms have been displayed. For example, circRNA Cdr1as, also termed ciRS-7 (circular RNA sponge for miR-7), contains many identical binding sites for miR-7, making it a potent sponge but also enabling action as a storage reservoir for miR-7 [102•]. This reservoir function has been observed in the context of ischemic cerebrovascular disease, where forced upregulation of circRNA Cdr1as resulted in the binding between circCdr1as-miR-7 with a subsequent increase in the activity of miR-7, implying that circCdr1as was acting in a protective manner toward miR-7 resulting in neuroprotection after stroke. Alternatively, in the setting of MI, circRNA Cdr1as has been shown to simultaneously sponge miR-7 and directly target its transcription factor SP1 (specificity protein 1) to promote apoptosis and increase infarct size [103].

CircRNAs are large ncRNA regulators with unique architecture and regulatory functions; their expression can be tissue- and species-specific, and taken together, these traits have garnered strong interest in the research and development of circRNA-based therapeutic and diagnostic tools. In Table 4, circRNA functions in disease development are reviewed, and in Table 5 proposed circRNA biomarkers are listed.

Table 5.

Circulating RNA proposed as biomarkers in cardiac disease

Disease state circRNA Expression Ref
Acute myocardial infarction circRNA 104761 Downregulated [104]
circRNA Slc8a1 Upregulated [105]
circRNA NFIX Downregulated [105]
Coronary artery disease* circRNA 0001946 Upregulated [106]
circRNA ZNF609 Downregulated [107]
circRNA 0005540 Upregulated [108]
circRNA NPHP4 Upregulated [109]
circRNA 0124644 Upregulated [110]
circRNA 0001879 Upregulated [111]
circRNA 0001445 Upregulated [112]
circRNA YOD1 Upregulated [113]
Compensated heart failure* circRNA 0062960 Upregulated [114]
Aortic dissection (Stanford type A)* circRNA MARK3 Upregulated [115]
Kawasaki disease* circRNA ANRIL Downregulated [116]
Atrial fibrillation* circRNA 025016 Upregulated [117]

*No specific biomarker exists currently for coronary artery disease, compensated heart failure, aortic dissection, Kawasaki disease, or atrial fibrillation, thereby establishing these circRNAs as first-in-class

CircRNA Slc8a1 (Solute Carrier Family 8 Member A1)

The Slc8a1 gene encodes the circRNA Slc8a1 (circSlc8a1), highly expressed in cardiomyocytes and implicated in a variety of cardiac disease states including ischemic cardiomyopathy and pressure-overload-induced heart failure [75, 118]. CircSlc8a1 may have pro- or anti-fibrotic actions. In heart failure, circRNA Slc8a1 sponges and inhibits miR-133a, disallowing its antifibrotic actions on TGFβ signaling, specifically the regulation of serum response factor (SRF) and connective tissue growth factor (CTGF) expression as well as components of the β1-adrenergic receptor transduction cascade [76•]. Exemplifying its therapeutic potential, this study deployed a short-hairpin RNA to target and inhibit endogenous circRNA Slc8a1, which in turn resulted in the disinhibition of miR-133a and reduction of pathological hypertrophy and fibrosis in the model of pressure-overload-induced heart failure. In contrast to these proposed profibrotic functions, a study by Wu et al. [76•] showed that induced overexpression of circRNA Slc8a1 was in fact cardioprotective in a pressure-overload model via promotion of mitochondrial ATP synthesis. In their study, for the first time, an antisense circRNA was developed (cA-circSlc8a1) to silence circRNA Slc8a1, leading to severe congestive heart failure in this model. Endogenous antisense circRNAs have been described in various disease states, though the proposal of artificial antisense circRNAs in drug development has not been deeply explored and may be a future avenue for circRNA therapeutic applications [119].

CircRNA HIPK3 (Homeodomain-Interacting Protein Kinase 3 Gene)

Like circRNA Slc8a1, circRNA HIPK3 has been shown to sponge miR-133a in a model of MI, enhancing Notch1 and connective tissue growth factor (CTGF) expression thereby driving proliferation, migration, and fibrosis in a manner protective against heart failure [120, 121]. These regulatory functions of circRNA HIPK3 involving CTGF and Notch1 have been shown to culminate in a decreased fibrotic area after MI which may attenuate the development of ischemic cardiomyopathy [71, 122]. Drugs targeting circRNA HIPK3 could be potent modulators of TGFβ-driven fibrosis and heart failure; however, its context dependence may not be completely understood. In a study of human-derived cardiomyocytes, circRNA HIPK3 expression was seen to be detrimental after stimulation of ischemia–reperfusion injury by sponging miR-124-3p, where the proapoptotic Bax (apoptosis regulator BAX) was disinhibited, and the antiapoptotic Bcl-2 (B-cell lymphoma 2) was inhibited [72]. This effect on cardiomyocyte apoptosis reiterates findings in another ischemia–reperfusion model, where miR-29a was shown to be a target of circRNA HIPK3, resulting in increased apoptosis of cultured human cardiomyocytes via the disinhibition of insulin-like growth factor 1 (IGF-1) signaling [73]. Altogether, the potential clinical benefit of targeting circRNA HIPK3 remains to be seen.

CircACTA2 (Alpha-Smooth Muscle Actin)

CircRNA ACTA2 regulates vascular smooth muscle cells via alpha-smooth muscle actin (α-SMA), a hallmark product of activated fibroblasts functioning in cellular motility and smooth muscle contraction [123]. Dysregulation of α-SMA has been observed in multiple cardiovascular disease states including HF, coronary atherosclerosis, and stroke [124].

Similar to the lncRNA MALAT1-miR-141 network, circACTA2 has been shown to inhibit the activation of the NLRP3 inflammasome in vascular smooth muscle cells [125]. In this study, an artificial circRNA ACTA2 was able to attenuate the expression of NLRP3, ASC, and caspase 1, exposing the axis as a potential drug target in vascular disease. Chronically elevated angiotensin-II, seen in hypertension and hypertrophic cardiomyopathy, results in senescence of VSMCs mediated by circACTA2 actions upon interleukin enhancer-binding factor 3 (ILF3) [77]. CircRNA ACTA2 acts as a competing endogenous RNA against the mRNA for cyclin-dependent kinase 4 (CDK4), preventing what would be a CDK4 mRNA-ILF3 gene interaction, thereby leading to cell senescence due to obsoletion of the CDK4 mRNA. The therapeutic candidacy of circRNA ACTA2 was also demonstrated in these mechanistic studies; however, there has not yet been any investigation of circRNA ACTA2 as a biomarker for cardiac fibrosis or heart disease.

In summary, circRNAs, characterized by their closed-loop structure, exhibit unique and significant regulatory roles in heart failure and fibrosis. Notable examples include circRNA Slc8a1 modulation of miR-133a in fibrosis, circRNA HIPK3 in MI and apoptosis, and circRNA ACTA2 impact on vascular inflammation. These circRNAs demonstrate complex, context-dependent regulatory capabilities, highlighting their potential as both biomarkers and therapeutic targets in cardiac pathology.

Clinical Diagnostic Applications of Non-Coding RNAs

Non-coding RNAs hold promise as next-generation biomarkers. With high disease-, tissue-, or cell-type dependence, ncRNAs could offer not only superior sensitivity and specificity but also use across a wide range of cardiac diseases, identifying not only the presence or absence of a disease process, but also reflecting stages in disease development, the severity of disease, and underlying tissue processes, i.e., fibrosis.

Linear single-stranded ncRNAs such as miRNAs are intrinsically vulnerable to degradation and can only exist in circulation by vesicular transit or binding to stabilizing proteins [126]. Another challenge facing the development of ncRNA biomarkers is specificity; miR-21 has been described as a biomarker for at least 29 different pathologies [51]. Further, splicing of ncRNAs creates high heterogeneity, and while this expands their potential functions, it also adds another layer of complexity to the development of clinical tools [127].

Many ncRNAs have detectable changes in expression patterns in the setting of ischemic cardiomyopathy and MI (Table 3). Current troponin-based assays represent the standard of care for the diagnosis of acute myocardial ischemia, but interest remains for biomarkers offering superior sensitivity and specificity [59, 128]. In MI, miR-137 and miR-106b-5p are released within 5 min by ischemic myocardium before the onset of necrosis offering an advantage over traditional troponin biomarker assays [129]. Some circRNAs are expressed in the chronic dormant phase of coronary atherosclerotic disease, such as circYOD1 [113]. A biomarker for chronic coronary atherosclerosis would be a significant milestone as there is no available biomarker to diagnose chronic coronary disease today and could have implications for the detection and prevention of ischemic cardiomyopathy. Utilizing the context-dependent expression of ncRNAs is also of interest in heart failures, for example, in the observation of differential expression of miR-21 during decompensated HF [48]. There are an increasing number of potential ncRNA candidates for cardiac disease states that presently lack any specific biomarker, such as heart failure with preserved ejection fraction, myocarditis, atrial fibrillation, and aortic dissection (Table 5 and 6). Altogether, the future diagnostic applications of ncRNAs are an exciting prospect in the context of cardiac disease.

Table 6.

Novel miRNA biomarkers for orphaned cardiac disease states

Disease state miRNA(s) Ref
Myocarditis miR-Chr8:96 [130]
miR-155 [131]
miR-206 [132]
Atrial fibrillation miRNA-328, miRNA-223-3p, miRNA-21, miRNA-29b, miRNA-1-5p [133]
Heart failure with reduced ejection fraction miR-18b-3p, miR-21-5p, miR-22-3p, miR-92b-3p, miR-129-5p, miR-320a-5p, miR-423-5p, miR-675-5p [134]
Heart failure with preserved ejection fraction miR-19b-3p, miR-30c-5p, miR-206, miR-221-3p, miR-328-5p, miR-375-3p, miR-424-5p [134]

Clinical Therapeutic Applications of Non-Coding RNAs

No miRNA drugs have yet advanced to late-stage clinical development for cardiac disease, though other gene therapies have entered the market, perhaps as forerunners to miRNA and other ncRNA drugs. Like miRNAs, small interfering RNAs (siRNAs) are ncRNAs that target specific mRNA sequences [135]. Vutrisiran and patisiran are two siRNA drugs that suppress amyloid transthyretin (aTTR) mRNA in the liver, currently approved for the treatment of polyneuropathy related to hereditary aTTR amyloidosis [136, 137]. Both siRNAs have come under investigation for the treatment of aTTR cardiac amyloidosis, a rare but important cause of HF [138, 139]. Unlike the other ncRNAs, siRNAs have especially high specificity and are designed to display total complementarity to their targets. SiRNAs target a single mRNA with minimal risk of off-target binding, whereas miRNAs can be synthesized to mimic the effect of any other ncRNA with multiple mRNA or non-mRNA targets, or, in theory, to inhibit any target miRNA, lncRNA, or circRNA all while lacking perfect complementarity.

Drug delivery is a challenge with gene therapies. Studies in this review utilized various delivery vectors such as viral vectors, antagomirs, and stable oligonucleotides. Numerous strategies remain under investigation to improve delivery in vivo. Lipid nanoparticle systems can readily store and carry RNAs, and PEGylation of liposomes—conjugation of polyethylene glycol (PEG) to prevent degradation—may reduce potential toxicity and nonspecific uptake; patisiran is one example of this delivery system [140]. Exosomal delivery systems have also been of interest, as endogenous exosomal ncRNA regulatory networks have been described in vivo, supporting the hypothesis that artificial exosomes for ncRNA delivery may offer advantages to transfection efficacy, stability, and carrying capacity [141].

Unlike siRNAs, miRNAs, circRNAs, and lncRNAs have multiple targets and perform far more complex and context-dependent regulatory functions. NcRNAs may regulate any level of transcription or translation, epigenetic modification, or proteins directly. While indeed this presents a risk for unintended consequences, it also offers the potential for far more potent suppression of the complex maladaptive signaling pathways seen in cardiovascular fibrosis and heart failure, should these challenges be overcome.

Conclusion

Cardiac fibrosis is the greatest commonality in acquired cardiovascular diseases and will eventually lead to heart failure. MiRNAs, lncRNAs, and circRNAs have emerged as pivotal regulators at nearly all levels of pathologic fibrosis, and modulating their expression has shown great potential for reversing pathologic disease states. As described, miRNAs not only target specific mRNA sequences but also regulate other ncRNAs within complex networks. LncRNAs can sponge many different RNA targets and their roles as recruiters, scaffolds for other biomolecular interactions, or protein encoders continue to emerge. CircRNAs are increasingly recognized as critical diagnostic and therapeutic targets given their stability in addition to high-level regulatory functions in cardiovascular disease, and their structure enables a huge variety of functional capabilities while also vastly increasing the regulatory potency of any given circRNA.

Many ncRNAs have emerged as circulating biomarkers in different cardiac diseases, and clinical detection of these biomarkers has become increasingly realistic. In addition to improving upon existing clinical assays, ncRNAs offer the potential to emerge as biomarkers for cardiac diseases that have none today such as heart failure with preserved ejection fraction, atrial fibrillation, or myocarditis. Further, specific ncRNAs have the potential to inform the stage of disease and the underlying cellular processes such as whether fibrosis is currently occurring in the tissue. Methods to detect these circulating ncRNAs continue to evolve to overcome challenges such as speed, availability, and labor requirements.

As therapeutics targeting cardiac fibrosis, miRNAs, lncRNAs, and circRNAs may be the next gene therapies following the budding class of siRNA drugs. Fibrosis is a sophisticated and multifactorial process in cardiac disease. We reviewed some of the intricacies of fibrogenesis among TGFβ pathways, where miRNAs, lncRNAs, and circRNAs show the ability to target many different biomolecules to inhibit profibrotic signaling at multiple stages and with potent effects. Further work is needed toward mitigating the risks of off-target effects and degradation in circulation for these ncRNAs.

Regulatory interrelationships and the contextual variance of ncRNAs have emerged as areas of paramount importance, carrying implications for both disease descriptions and therapeutic interventions. Looking forward, the potential for targeted ncRNA therapies and diagnostic tools specific for cardiac fibrosis and diseases thereof seems promising. As the nuances of ncRNA functions and regulatory interactions among fibrotic signaling continue to be unraveled, so will progress be made for their clinical development.

Author contributions

S.R.O. drafted the manuscript; S.R.O., W.H.W., and C-F L. wrote and edited the manuscript. All authors reviewed the manuscript.

Funding

This research work is supported by the Collins Family Fund, the Wortzman Family Fund, and the CTSC Core Utilization Pilot Grant Award (IF110714-1). Dr. Liu is supported by the G. Harold & Leila Y. Mathers Charitable Foundation. Dr. Tang is supported by grants from the National Institutes of Health (R01HL146754).

Data Availability

No datasets were generated or analysed during the current study.

Declarations

Conflict of Interest

The authors declare no competing interests.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance

  • 1.Kong P, Christia P, Frangogiannis NG. The pathogenesis of cardiac fibrosis. Cell Mol Life Sci. 2013;71(4):549–574. doi: 10.1007/s00018-013-1349-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Felisbino MB, McKinsey TA. Epigenetics in cardiac fibrosis. JACC. 2018;3(5):704–715. doi: 10.1016/j.jacbts.2018.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ju H, Dixon IM. Extracellular matrix and cardiovascular diseases. Can J Cardiol. 1996;12(12):1259–1267. [PubMed] [Google Scholar]
  • 4.Tsao CW, Aday AW, Almarzooq ZI, et al. Heart disease and stroke statistics—2022 update: a report from the American Heart Association. Circulation. 2022;145(8). 10.1161/cir.0000000000001052 [DOI] [PubMed]
  • 5.Fang L, Murphy AJ, Dart AM. A Clinical perspective of anti-fibrotic therapies for cardiovascular disease. Frontiers in pharmacology. 2017;8. 10.3389/fphar.2017.00186 [DOI] [PMC free article] [PubMed]
  • 6.Liu CF, Tang WHW. Epigenetics in cardiac hypertrophy and heart failure. JACC. 2019;4(8):976–993. doi: 10.1016/j.jacbts.2019.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.McKinsey TA, Foo R, Anene-Nzelu CG, et al. Emerging epigenetic therapies of cardiac fibrosis and remodeling in heart failure: from basic mechanisms to early clinical development. Cardiovasc Res. 2022;118(18):3482–3498. doi: 10.1093/cvr/cvac142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hombach S, Kretz M. Non-coding RNAs: Classification, biology and functioning. Adv Exp Med Biol. 2016;937:3–17. doi: 10.1007/978-3-319-42059-2_1. [DOI] [PubMed] [Google Scholar]
  • 9.Ying SY, Chang DC, Lin SL. The microrna (miRNA): overview of the RNA genes that modulate gene function. Mol Biotechnol. 2008;38(3):257–268. doi: 10.1007/s12033-007-9013-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sessa F, Salerno M, Esposito M, Cocimano G, Pomara C. miRNA dysregulation in cardiovascular diseases: current opinion and future perspectives. Int J Mol Sci. 2023;24(6):5192. doi: 10.3390/ijms24065192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Biswas S, Thomas AA, Chakrabarti S. LncRNAs: Proverbial genomic “junk” or key epigenetic regulators during cardiac fibrosis in diabetes? Front Cardiovasc Med. 2018;5. 10.3389/fcvm.2018.00028. [DOI] [PMC free article] [PubMed]
  • 12.Statello L, Guo CJ, Chen LL, Huarte M. Gene regulation by long non-coding RNAs and its biological functions. Nat Rev Mol Cell Biol. 2021;22(2):96–118. doi: 10.1038/s41580-020-00315-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Tang L, Li P, Jang M, Zhu W. Circular RNAs and cardiovascular regeneration. Front Cardiovasc Med. 2021;8:672600. 10.3389/fcvm.2021.672600. [DOI] [PMC free article] [PubMed]
  • 14.Yeasmin F, Yada T, Akimitsu N. Micropeptides encoded in transcripts previously identified as long noncoding RNAs: a new chapter in transcriptomics and proteomics. Frontiers in genetics. 2018;9. 10.3389/fgene.2018.00144 [DOI] [PMC free article] [PubMed]
  • 15.Zhou WY, Cai ZR, Liu J, Wang DS, Ju HQ, Xu RH. Circular RNA: metabolism, functions and interactions with proteins. Molecular cancer. 2020;19(1). 10.1186/s12943-020-01286-3 [DOI] [PMC free article] [PubMed]
  • 16.Gabriel AF, Costa MC, Enguita FJ (2020) Interactions among regulatory non-coding RNAs involved in cardiovascular diseases. Adv Exp Med Biol 79–104. 10.1007/978-981-15-1671-9_4 [DOI] [PubMed]
  • 17.Chistiakov DA, Orekhov AN, Bobryshev YV. Cardiac-specific miRNA in cardiogenesis, heart function, and cardiac pathology (with focus on myocardial infarction) J Mol Cell Cardiol. 2016;94:107–121. doi: 10.1016/j.yjmcc.2016.03.015. [DOI] [PubMed] [Google Scholar]
  • 18.Zhao Y, Du D, Chen S, Chen Z, Zhao J. New insights into the functions of micrornas in cardiac fibrosis: from mechanisms to therapeutic strategies. Genes. 2022;13(8):1390. doi: 10.3390/genes13081390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Breving K, Esquela-Kerscher A. The complexities of microRNA regulation: mirandering around the rules. Int J Biochem Cell Biol. 2010;42(8):1316–1329. doi: 10.1016/j.biocel.2009.09.016. [DOI] [PubMed] [Google Scholar]
  • 20.Huang Y. The novel regulatory role of lncRNA-miRNA-mRNA axis in cardiovascular diseases. J Cell Mol Med. 2018;22(12):5768–5775. doi: 10.1111/jcmm.13866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Laggerbauer B, Engelhardt S. MicroRNAs as therapeutic targets in cardiovascular disease. J Clin Invest. 2022;132(11). 10.1172/jci159179 [DOI] [PMC free article] [PubMed]
  • 22.Zhang S, Cheng Z, Wang Y, Han T. The risks of miRNA therapeutics: in a drug target perspective. Drug Des Dev Ther. 2021;15:721–733. doi: 10.2147/DDDT.S288859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zhou S, Jin J, Wang J, et al. MiRNAS in cardiovascular diseases: potential biomarkers, therapeutic targets and challenges. Acta Pharmacol Sin. 2018;39(7):1073–1084. doi: 10.1038/aps.2018.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Condrat CE, Thompson DC, Barbu MG, et al. miRNAs as biomarkers in disease: latest findings regarding their role in diagnosis and prognosis. Cells. 2020;9(2). 10.3390/cells9020276 [DOI] [PMC free article] [PubMed]
  • 25.Ouyang T, Liu Z, Han Z, Ge Q. MicroRNA detection specificity: recent advances and future perspective. Anal Chem. 2019;91(5):3179–3186. doi: 10.1021/acs.analchem.8b05909. [DOI] [PubMed] [Google Scholar]
  • 26.Kriegel AJ, Liu Y, Fang Y, Ding X, Liang M. The miR-29 family: genomics, cell biology, and relevance to renal and cardiovascular injury. Physiol Genomics. 2012;44(4):237–244. doi: 10.1152/physiolgenomics.00141.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ślusarz A, Pulakat Lakshmi. The two faces of miR-29. J Cardiovasc Med. 2015;16(7):480–490. doi: 10.2459/jcm.0000000000000246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wang X, Liu Y, Hou H, et al. miRNA-29 aggravates myocardial infarction via inhibiting the PI3K/mTOR/HIF1α/VEGF pathway. Aging. 2022;14(7):3129–3142. doi: 10.18632/aging.203997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Wang Y, Bj J, Chen Q, Bj Y, Liu Zl (2019) MicroRNA-29b upregulation improves myocardial fibrosis and cardiac function in myocardial infarction rats through targeting SH2B3. PubMed 23(22):10115–10122. 10.26355/eurrev_201911_19581 [DOI] [PubMed]
  • 30.Ulrich V, Rotllan N, Araldi E, et al. Chronic miR-29 antagonism promotes favorable plaque remodeling in atherosclerotic mice. EMBO Mol Med. 2016;8(6):643–653. doi: 10.15252/emmm.201506031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.van Rooij E, Sutherland LB, Thatcher JE, et al. Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis. Proc Natl Acad Sci. 2008;105(35):13027–13032. doi: 10.1073/pnas.0805038105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Xiangwei Lv, Lü P, Hu Y, Xu T (2021) Overexpression of MiR-29b-3p Inhibits Atrial Remodeling in Rats by Targeting PDGF-B Signaling Pathway. Oxid Med Cell Longev 2021:1–11. 10.1155/2021/3763529 [DOI] [PMC free article] [PubMed]
  • 33.Han X, Wang S, Yong Z, Zhang X, Wang X. miR-29b ameliorates atrial fibrosis in rats with atrial fibrillation by targeting TGFβRΙ and inhibiting the activation of Smad-2/3 pathway. J Bioenerg Biomembr. 2022;54(2):81–91. doi: 10.1007/s10863-022-09934-7. [DOI] [PubMed] [Google Scholar]
  • 34.Maegdefessel L, Azuma J, Tsao PS. MicroRNA-29b regulation of abdominal aortic aneurysm development. Trends Cardiovasc Med. 2014;24(1):1–6. doi: 10.1016/j.tcm.2013.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Roncarati R, Anselmi C, Losi Maria Angela, et al. Circulating miR-29a, among other up-regulated MicroRNAs, is the only biomarker for both hypertrophy and fibrosis in patients with hypertrophic cardiomyopathy. J Am Coll Cardiol. 2014;63(9):920–927. doi: 10.1016/j.jacc.2013.09.041. [DOI] [PubMed] [Google Scholar]
  • 36.Rubiś P, Totoń-Żurańska J, Wiśniowska-Śmiałek S, et al. Relations between circulating microRNAs (miR-21, miR-26, miR-29, miR-30 and miR-133a), extracellular matrix fibrosis and serum markers of fibrosis in dilated cardiomyopathy. Int J Cardiol. 2017;231:201–206. doi: 10.1016/j.ijcard.2016.11.279. [DOI] [PubMed] [Google Scholar]
  • 37.Jin ZQ. MicroRNA targets and biomarker validation for diabetes-associated cardiac fibrosis. Pharmacol Res. 2021;174:105941. doi: 10.1016/j.phrs.2021.105941. [DOI] [PubMed] [Google Scholar]
  • 38.Sassi Y, Avramopoulos P, Ramanujam D, et al. Cardiac myocyte miR-29 promotes pathological remodeling of the heart by activating Wnt signaling. Nature communications. 2017;8(1). 10.1038/s41467-017-01737-4 [DOI] [PMC free article] [PubMed]
  • 39.Dai B, Wang F, Nie X, et al. The cell type–specific functions of miR-21 in cardiovascular diseases. Front Genet. 2020;11:563166. doi: 10.3389/fgene.2020.563166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Sayed D, He M, Hong C, et al. MicroRNA-21 is a downstream effector of AKT that mediates its antiapoptotic effects via suppression of Fas ligand. J Biol Chem. 2010;285(26):20281–20290. doi: 10.1074/jbc.m110.109207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Yang L, Wang B, Zhou Q, et al. MicroRNA-21 prevents excessive inflammation and cardiac dysfunction after myocardial infarction through targeting KBTBD7. Cell death & disease. 2018;9(7). 10.1038/s41419-018-0805-5 [DOI] [PMC free article] [PubMed]
  • 42.Surina S, Fontanella RA, Scisciola L, Marfella R, Paolisso G, Barbieri M. miR-21 in human cardiomyopathies. Frontiers in cardiovascular medicine. 2021;8. 10.3389/fcvm.2021.767064 [DOI] [PMC free article] [PubMed]
  • 43.Thum T, Gross C, Fiedler J, et al. MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signaling in fibroblasts. Nature. 2008;456(7224):980–984. doi: 10.1038/nature07511. [DOI] [PubMed] [Google Scholar]
  • 44.Barana A, Matamoros M, Dolz-Gaitón P, et al. Chronic atrial fibrillation increases microRNA-21 in human atrial myocytes decreasing L-type calcium current. Circ Arrhythm Electrophysiol. 2014;7(5):861–868. doi: 10.1161/CIRCEP.114.001709. [DOI] [PubMed] [Google Scholar]
  • 45.Dong S, Cheng Y, Yang J, et al. MicroRNA Expression Signature and the Role of MicroRNA-21 in the Early Phase of Acute Myocardial Infarction. J Biol Chem. 2009;284(43):29514–29525. doi: 10.1074/jbc.M109.027896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Gu GL, Xu XL, Sun XT, et al. Cardioprotective Effect of MicroRNA-21 in Murine Myocardial Infarction. Cardiovasc Ther. 2015;33(3):109–117. doi: 10.1111/1755-5922.12118. [DOI] [PubMed] [Google Scholar]
  • 47.Adam O, Löhfelm B, Thum T, et al. Role of miR-21 in the pathogenesis of atrial fibrosis. Basic Res Cardiol. 2012;107(5). 10.1007/s00395-012-0278-0. [DOI] [PubMed]
  • 48.Zhang J, Xing Q, Zhou X, et al. Circulating miRNA-21 is a promising biomarker for heart failure. Mol Med Rep. 2017;16(5):7766–7774. doi: 10.3892/mmr.2017.7575. [DOI] [PubMed] [Google Scholar]
  • 49.Sygitowicz G, Maciejak-Jastrzębska A, Sitkiewicz D. The Diagnostic and Therapeutic Potential of Galectin-3 in Cardiovascular Diseases. Biomolecules. 2021;12(1):46. doi: 10.3390/biom12010046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Cheng C, Wang Q, You W, Chen M, Xia J. MiRNAs as biomarkers of myocardial infarction: A meta-analysis. PLoS ONE. 2014;9(2):e88566. doi: 10.1371/journal.pone.0088566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Jenike AE, Halushka MK. miR-21: a non‐specific biomarker of all maladies. Biomarker research. 2021;9(1). 10.1186/s40364-021-00272-1 [DOI] [PMC free article] [PubMed]
  • 52.McCarthy JJ, Esser KA. MicroRNA-1 and microRNA-133a expression are decreased during skeletal muscle hypertrophy. J Appl Physiol. 2007;102(1):306–313. doi: 10.1152/japplphysiol.00932.2006. [DOI] [PubMed] [Google Scholar]
  • 53.Li N, Zhou H, Tang Q. miR-133: a suppressor of cardiac remodeling? Frontiers in pharmacology. 2018;9. 10.3389/fphar.2018.00903 [DOI] [PMC free article] [PubMed]
  • 54.Xiao Y, Zhao J, Tuazon JP, Borlongan CV, Yu G. MicroRNA-133a and myocardial infarction. Cell Transplant. 2019;28(7):831–838. doi: 10.1177/0963689719843806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Boštjančič E, Brandner T, Zidar N, Glavač D, Štajer D. Down-regulation of miR-133a/b in patients with myocardial infarction correlates with the presence of ventricular fibrillation. Biomed Pharmacother. 2018;99:65–71. doi: 10.1016/j.biopha.2018.01.019. [DOI] [PubMed] [Google Scholar]
  • 56.Izarra A, Moscoso I, Levent Elif, et al. miR-133a enhances the protective capacity of cardiac progenitors cells after myocardial infarction. Stem Cell Reports. 2014;3(6):1029–1042. doi: 10.1016/j.stemcr.2014.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Kuwabara Y, Ono K, Horie T, et al. Increased microRNA-1 and microRNA-133a levels in serum of patients with cardiovascular disease indicate myocardial damage. Circ Cardiovasc Genet. 2011;4(4):446–454. doi: 10.1161/circgenetics.110.958975. [DOI] [PubMed] [Google Scholar]
  • 58.Wang F, Long G, Zhao C, et al. Plasma microRNA-133a is a new marker for both acute myocardial infarction and underlying coronary artery stenosis. J Transl Med. 2013;11(1). 10.1186/1479-5876-11-222 [DOI] [PMC free article] [PubMed]
  • 59.Lee GK, Hsieh YP, Hsu SW, Lan SJ. Exploring diagnostic and prognostic predictive values of microRNAs for acute myocardial infarction. Medicine. 2021;100(29):e26627. doi: 10.1097/MD.0000000000026627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Modica J, Di Mauro Vittoria, Barandalla-Sobrados M, et al. Nano-miR-133a replacement therapy blunts pressure overload–induced heart failure. Circulation. 2021;144(24):1973–1976. doi: 10.1161/circulationaha.121.055866. [DOI] [PubMed] [Google Scholar]
  • 61.Li S, Xiao FY, Shan PR, et al. Overexpression of microRNA-133a inhibits ischemia-reperfusion-induced cardiomyocyte apoptosis by targeting DAPK2. J Hum Genet. 2015;60(11):709–716. doi: 10.1038/jhg.2015.96. [DOI] [PubMed] [Google Scholar]
  • 62.Xu C, Hu Y, Hou L, et al. β-Blocker carvedilol protects cardiomyocytes against oxidative stress-induced apoptosis by up-regulating miR-133 expression. J Mol Cell Cardiol. 2014;75:111–121. doi: 10.1016/j.yjmcc.2014.07.009. [DOI] [PubMed] [Google Scholar]
  • 63.Shao S, Zhang Y, Gong M, et al. Ivabradine ameliorates cardiac function in heart failure with preserved and reduced ejection fraction via upregulation of miR-133a. Oxid Med Cell Longev. 2021;2021:e1257283. doi: 10.1155/2021/1257283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Thum T, Condorelli G. Long Noncoding RNAs and MicroRNAs in Cardiovascular Pathophysiology. Circ Res. 2015;116(4):751–762. doi: 10.1161/CIRCRESAHA.116.303549. [DOI] [PubMed] [Google Scholar]
  • 65.Kohlmaier A, Holdt LM, Teupser D. Long noncoding RNAs in cardiovascular disease. Curr Opin Cardiol. 2023;38(3):179–192. doi: 10.1097/hco.0000000000001041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Zhang C, Ge S, Gong W, et al. LncRNA ANRIL acts as a modular scaffold of WDR5 and HDAC3 complexes and promotes alteration of the vascular smooth muscle cell phenotype. Cell Death Dis. 2020;11(6). 10.1038/s41419-020-2645-3 [DOI] [PMC free article] [PubMed]
  • 67.Pan J, Wang R, Shang F, Ma R, Rong Y, Zhang Y. Functional micropeptides encoded by long non-coding RNAs: a comprehensive review. Front Mol Biosci. 2022;9. 10.3389/fmolb.2022.817517 [DOI] [PMC free article] [PubMed]
  • 68.Yoshimoto R, Mayeda A, Yoshida M. Nakagawa S (2016) MALAT1 long non-coding RNA in cancer. Biochim Biophys Acta. 1859;1:192–199. doi: 10.1016/j.bbagrm.2015.09.012. [DOI] [PubMed] [Google Scholar]
  • 69.Chen Y, Li S, Zhang Y, et al. The lncRNA Malat1 regulates microvascular function after myocardial infarction in mice via miR-26b-5p/Mfn1 axis-mediated mitochondrial dynamics. Redox Biol. 2021;41:101910. doi: 10.1016/j.redox.2021.101910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Gast M, Schroen B, Voigt A, et al. Long noncoding RNA MALAT1-derived mascRNA is involved in cardiovascular innate immunity. J Mol Cell Biol. 2016;8(2):178–181. doi: 10.1093/jmcb/mjw003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Si X, Zheng H, Wei G, et al. circRNA Hipk3 induces cardiac regeneration after myocardial infarction in mice by binding to Notch1 and miR-133a. Molecular therapy - nucleic acids. 2020;21:636–655. doi: 10.1016/j.omtn.2020.06.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Bai M, Pan Cl, Jiang Gx, Zhang Ym, Zhang Z. CircHIPK3 aggravates myocardial ischemia-reperfusion injury by binding to miRNA-124–3p. Eur Rev Med Pharmacol Sci. 2019;(22):10107–10114. 10.26355/eurrev_201911_19580 [DOI] [PubMed]
  • 73.Ni H, Liu W, Zhuge Y, et al. Inhibition of circHIPK3 prevents angiotensin II-induced cardiac fibrosis by sponging miR-29b-3p. Int J Cardiol. 2019;292:188–196. doi: 10.1016/j.ijcard.2019.04.006. [DOI] [PubMed] [Google Scholar]
  • 74.Liu W, Wang Y, Qiu Z, et al. CircHIPK3 regulates cardiac fibroblast proliferation, migration and phenotypic switching through the miR-152-3p/TGF-β2 axis under hypoxia. PeerJ. 2020;8:e9796. doi: 10.7717/peerj.9796. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Lim TB, Aliwarga E, Luu TDA, et al. Targeting the highly abundant circular RNA circSlc8a1 in cardiomyocytes attenuates pressure overload induced hypertrophy. Cardiovasc Res. 2019;115(14):1998–2007. doi: 10.1093/cvr/cvz130. [DOI] [PubMed] [Google Scholar]
  • 76.•.Wu N, Li F, Yang W, et al. Silencing mouse circular RNA circSlc8a1 by circular antisense cA-circSlc8a1 induces cardiac hepatopathy. Mol Ther. 2023;31(6):1688–1704. doi: 10.1016/j.ymthe.2022.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Ma Y, Zheng B, Zhang XH, et al. circACTA2 mediates Ang II-induced VSMC senescence by modulation of the interaction of ILF3 with CDK4 mRNA. Aging. 2021;13(8):11610–11628. doi: 10.18632/aging.202855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Che H, Wang Y, Li H, et al (2020) Melatonin alleviates cardiac fibrosis via inhibiting lncRNA MALAT1/miR‐141‐mediated NLRP3 inflammasome and TGF‐β1/Smads signaling in diabetic cardiomyopathy 34(4):5282–5298. 10.1096/fj.201902692r [DOI] [PubMed]
  • 79.Zhu X, Yx Yuan, Sl Rao, Wang P. LncRNA MIAT enhances cardiac hypertrophy partly through sponging miR-150. Eur Rev Med Pharmacol Sci. 2016;20(17):3653–3660. [PubMed] [Google Scholar]
  • 80.Zhou J, Zhou Y, Wang C. LncRNA-MIAT regulates fibrosis in hypertrophic cardiomyopathy (HCM) by mediating the expression of miR-29a-3p. J Cell Biochem. 2018;120(5):7265–7275. doi: 10.1002/jcb.28001. [DOI] [PubMed] [Google Scholar]
  • 81.Qi Y, Wu H, Mai C, et al. LncRNA-MIAT-Mediated miR-214-3p Silencing Is Responsible for IL-17 Production and Cardiac Fibrosis in Diabetic Cardiomyopathy. Front Cell Dev Biol. 2020;8:243. doi: 10.3389/fcell.2020.00243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.•.Choong OK, Chen CY, Zhang J, et al. Hypoxia-induced H19/YB-1 cascade modulates cardiac remodeling after infarction. Theranostics. 2019;9(22):6550–6567. doi: 10.7150/thno.35218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Guo F, Tang C, Huang B, et al. LncRNA H19 Drives Proliferation of Cardiac Fibroblasts and Collagen Production via Suppression of the miR-29a-3p/miR-29b-3p-VEGFA/TGF-β Axis. Mol Cells. 2022;45(3):122–133. doi: 10.14348/molcells.2021.0066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Gong X, Zhu Y, Chang H, Li Y, Ma F (2019) Long noncoding RNA MALAT1 promotes cardiomyocyte apoptosis after myocardial infarction via targeting miR-144-3p. Biosci Rep 39(8). 10.1042/bsr20191103 [DOI] [PMC free article] [PubMed]
  • 85.Yang Y, Chen Z, Le H. CTCF-mediated H3K27me3 enrichment on the LncRNA MALAT1 promoter regulates the cardiomyocytes from I/R-induced apoptosis through targeting miR-26b-5p. Mol Cell Toxicol. 2022;19(1):119–133. doi: 10.1007/s13273-022-00246-w. [DOI] [Google Scholar]
  • 86.•.Yang X, Dai R, Qin Z, Cai R, Xu Y, Su Q. LncRNA MALAT1 functions as a biomarker of no-reflow phenomenon in ST-segment elevation myocardial infarction patients receiving primary percutaneous coronary intervention. Sci Rep. 2022;12(1):3294. doi: 10.1038/s41598-022-06923-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Li R, Jin J, Liu E, Zhang J (2022) A novel circulating biomarker lnc‐MALAT1 for acute myocardial infarction: its relationship with disease risk, features, cytokines, and major adverse cardiovascular events. J Clin Lab Anal 36(12). 10.1002/jcla.24771 [DOI] [PMC free article] [PubMed]
  • 88.Yang C, Zhang Y, Yang B. MIAT, a potent CVD-promoting lncRNA. Cell Mol Life Sci. 2021;79(1). 10.1007/s00018-021-04046-8. [DOI] [PMC free article] [PubMed]
  • 89.Qu X, Du Y, Shu Y, et al. MIAT is a pro-fibrotic long non-coding RNA governing cardiac fibrosis in post-infarct myocardium. Scientific reports. 2017;7(1). [DOI] [PMC free article] [PubMed]
  • 90.Azat M, Huojiahemaiti X, Gao R, Peng P. Long noncoding RNA MIAT: a potential role in the diagnosis and mediation of acute myocardial infarction. Mol Med Rep. 2019;20(6):5216–5222. doi: 10.3892/mmr.2019.10768. [DOI] [PubMed] [Google Scholar]
  • 91.Zhang P, Cao L, Zhou R, Yang X, Wu M. The lncRNA Neat1 promotes activation of inflammasomes in macrophages. Nat Commun. 2019;10(1). 10.1038/s41467-019-09482-6. [DOI] [PMC free article] [PubMed]
  • 92.Ge Z, Yin C, Li Y, et al. Long noncoding RNA NEAT1 promotes cardiac fibrosis in heart failure through increased recruitment of EZH2 to the Smad7 promoter region. J Transl Med. 2022;20(1). 10.1186/s12967-021-03211-8. [DOI] [PMC free article] [PubMed]
  • 93.Wei JL, Wu CJ, Chen JJ, et al. LncRNA NEAT1 promotes the progression of sepsis-induced myocardial cell injury by sponging miR-144–3p. Eur Rev Med Pharmacol Sci. 2020;24(2):851–861. doi: 10.26355/eurrev_202001_20069. [DOI] [PubMed] [Google Scholar]
  • 94.Sun XL, Lv JL, Dou L, Chen D, Zhu YC, Hu X. LncRNA NEAT1 promotes cardiac hypertrophy through microRNA-19a-3p/SMYD2 axis. Eur Rev Med Pharmacol Sci. 2020;24(3):1367–1377. doi: 10.26355/eurrev_202002_20194. [DOI] [PubMed] [Google Scholar]
  • 95.Kenneweg F, Bang C, Xiao K, et al. Long noncoding RNA-enriched vesicles secreted by hypoxic cardiomyocytes drive cardiac fibrosis. Mol Ther–Nucleic Acids. 2019;18:363–374. doi: 10.1016/j.omtn.2019.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Zhang Hao-hua, Zhang N, Jiang W, Lun X. Clinical significance of the long non‑coding RNA NEAT1/miR‑129‑5p axis in the diagnosis and prognosis for patients with chronic heart failure. Experimental and therapeutic medicine. 2021;21(5). 10.3892/etm.2021.9943 [DOI] [PMC free article] [PubMed]
  • 97.Jeck WR, Sorrentino JA, Wang K, et al. Circular RNAs are abundant, conserved, and associated with ALU repeats. RNA. 2012;19(2):141–157. doi: 10.1261/rna.035667.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Yousefi F, Soltani BM. Circular RNAs as potential theranostics in the cardiac fibrosis. Heart Fail Rev. 2020;26(1):195–203. doi: 10.1007/s10741-019-09908-9. [DOI] [PubMed] [Google Scholar]
  • 99.Long Q, Lv B, Jiang S, Lin J. The landscape of circular RNAs in cardiovascular diseases. Int J Mol Sci. 2023;24(5):4571. doi: 10.3390/ijms24054571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Ding X, Zhang S, Li X, et al. Profiling expression of coding genes, long noncoding RNA, and circular RNA in lung adenocarcinoma by ribosomal RNA -depleted RNA sequencing. FEBS Open Bio. 2018;8(4):544–555. doi: 10.1002/2211-5463.12397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Hansen TB, Jensen TI, Clausen BH, et al. Natural RNA circles function as efficient microRNA sponges. Nature. 2013;495(7441):384–388. doi: 10.1038/nature11993. [DOI] [PubMed] [Google Scholar]
  • 102.•.Mehta SL, Chokkalla AK, Bathula Saivenkateshkomal, Arruri Vijay, Chelluboina Bharath, Vemuganti Raghu. CDR1as regulates α-synuclein-mediated ischemic brain damage by controlling miR-7 availability. Mol Ther Nucleic Acids. 2023;31:57–67. doi: 10.1016/j.omtn.2022.11.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Geng HH, Li R, Su YM, et al. The circular RNA Cdr1as promotes myocardial infarction by mediating the regulation of miR-7a on its target genes expression. Plos One. 2016;11(3):e0151753. doi: 10.1371/journal.pone.0151753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Yang W, Sun L, Cao X, et al. Detection of circRNA Biomarker for Acute Myocardial Infarction Based on System Biological Analysis of RNA Expression. Front Genet. 2021;12:686116. doi: 10.3389/fgene.2021.686116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Tian M, Xue J, Dai C, et al. CircSLC8A1 and circNFIX can be used as auxiliary diagnostic markers for sudden cardiac death caused by acute ischemic heart disease. Sci Rep. 2021;11(1):4695. doi: 10.1038/s41598-021-84056-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Huang S, Zeng Z, Sun Y, et al. Association study of hsa_circ_0001946, hsa-miR-7-5p and PARP1 in coronary atherosclerotic heart disease. Int J Cardiol. 2021;328:1–7. doi: 10.1016/j.ijcard.2020.12.026. [DOI] [PubMed] [Google Scholar]
  • 107.Liang B, Li M, Deng Q, et al. CircRNA ZNF609 in peripheral blood leukocytes acts as a protective factor and a potential biomarker for coronary artery disease. Ann Transl Med. 2020;8(12):741. doi: 10.21037/atm-19-4728. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Wu WP, Pan YH, Cai MY, et al. Plasma-Derived Exosomal Circular RNA hsa_circ_0005540 as a Novel Diagnostic Biomarker for Coronary Artery Disease. Dis Markers. 2020;2020:3178642. doi: 10.1155/2020/3178642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Xiong F, Mao R, Zhang L, et al. CircNPHP4 in monocyte-derived small extracellular vesicles controls heterogeneous adhesion in coronary heart atherosclerotic disease. Cell Death Dis. 2021;12(10):948. doi: 10.1038/s41419-021-04253-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Zhao Z, Li X, Gao C, et al. Peripheral blood circular RNA hsa_circ_0124644 can be used as a diagnostic biomarker of coronary artery disease. Sci Rep. 2017;7:39918. doi: 10.1038/srep39918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Wang L, Shen C, Wang Y, et al. Identification of circular RNA Hsa_circ_0001879 and Hsa_circ_0004104 as novel biomarkers for coronary artery disease. Atherosclerosis. 2019;286:88–96. doi: 10.1016/j.atherosclerosis.2019.05.006. [DOI] [PubMed] [Google Scholar]
  • 112.Vilades D, Martínez-Camblor P, Ferrero-Gregori A, et al. Plasma circular RNA hsa_circ_0001445 and coronary artery disease: Performance as a biomarker. FASEB J. 2020;34(3):4403–4414. doi: 10.1096/fj.201902507R. [DOI] [PubMed] [Google Scholar]
  • 113.Miao L, Yin RX, Zhang QH, et al. A novel circRNA-miRNA-mRNA network identifies circ-YOD1 as a biomarker for coronary artery disease. Sci Rep. 2019;9(1):18314. doi: 10.1038/s41598-019-54603-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Sun Y, Jiang X, Lv Y, et al. Circular RNA expression profiles in plasma from patients with heart failure related to platelet activity. Biomol. 2020;10(2):187. doi: 10.3390/biom10020187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Tian C, Tang X, Zhu X, et al. Expression profiles of circRNAs and the potential diagnostic value of serum circMARK3 in human acute Stanford type A aortic dissection. PLoS ONE. 2019;14(6):e0219013. doi: 10.1371/journal.pone.0219013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Wu J, Zhou Q, Niu Y, et al. Aberrant expression of serum circANRIL and hsa_circ_0123996 in children with Kawasaki disease. J Clin Lab Anal. 2019;33(5):e22874. doi: 10.1002/jcla.22874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Zhang J, Xu Y, Xu S, et al. Plasma Circular RNAs, Hsa_circRNA_025016, Predict Postoperative Atrial Fibrillation After Isolated Off-Pump Coronary Artery Bypass Grafting. J Am Heart Assoc. 2018;7:e006642. doi: 10.1161/JAHA.117.006642. [DOI] [Google Scholar]
  • 118.Tian M, Xue J, Dai C, Jiang E, Zhu B, Pang H. CircSLC8A1 and circNFIX can be used as auxiliary diagnostic markers for sudden cardiac death caused by acute ischemic heart disease. Sci Rep. 2021;11(1):4695. doi: 10.1038/s41598-021-84056-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Ma J, Du WW, Zeng K, et al. An antisense circular RNA circSCRIB enhances cancer progression by suppressing parental gene splicing and translation. Mol Ther. 2021;29(9):2754–2768. doi: 10.1016/j.ymthe.2021.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Collesi C, Zentilin L, Sinagra G, Giacca M. Notch1 signaling stimulates proliferation of immature cardiomyocytes. J Cell Biol. 2008;183(1):117–128. doi: 10.1083/jcb.200806091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Mori T, Kawara S, Shinozaki M, et al. Role and interaction of connective tissue growth factor with transforming growth factor-beta in persistent fibrosis: a mouse fibrosis model. J Cell Physiol. 1999;181(1):153–159. doi: 10.1002/(sici)1097-4652(199910). [DOI] [PubMed] [Google Scholar]
  • 122.Blokzijl A, Dahlqvist C, Reissmann E, et al. Cross-talk between the Notch and TGF-β signaling pathways mediated by interaction of the Notch intracellular domain with Smad3. J Cell Biol. 2003;163(4):723–728. doi: 10.1083/jcb.200305112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Hinz B, Dugina V, Ballestrem C, Wehrle-Haller B, Chaponnier C. α-smooth muscle actin is crucial for focal adhesion maturation in myofibroblasts. Mol Biol Cell. 2003;14(6):2508–2519. doi: 10.1091/mbc.E02-11-0729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Guo DC, Papke CL, Tran-Fadulu V, et al. Mutations in smooth muscle alpha-actin (ACTA2) cause coronary artery disease, stroke, and moyamoya disease, along with thoracic aortic disease. Am J Hum Genet. 2009;84(5):617–627. doi: 10.1016/j.ajhg.2009.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Bai Y, Zhang L, Zheng B, et al. circACTA2 inhibits NLRP3 inflammasome-mediated inflammation via interacting with NF-κB in vascular smooth muscle cells. Cell Mol Life Sci. 2023;80(8):229. doi: 10.1007/s00018-023-04840-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Wang YM, Trinh MP, Zheng Y, Guo K, Jimenez LA, Zhong W. Analysis of circulating non-coding RNAs in a non-invasive and cost-effective manner. Trends Analyt Chem. 2019;117:242–262. doi: 10.1016/j.trac.2019.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Ouyang J, Zhong Y, Zhang Y, et al. Long non-coding RNAs are involved in alternative splicing and promote cancer progression. Br J Cancer. 2021;126(8):1113–1124. doi: 10.1038/s41416-021-01600-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Reichlin T, Hochholzer W, Bassetti S, et al. Early diagnosis of myocardial infarction with sensitive cardiac troponin assays. N Engl J Med. 2009;361(9):858–867. doi: 10.1056/NEJMoa0900428. [DOI] [PubMed] [Google Scholar]
  • 129.lgebaly SA, Christenson RH, Kandil H, et al (2021) Nourin-dependent miR-137 and miR-106b: novel biomarkers for early diagnosis of myocardial ischemia in coronary artery disease patients Diagnostics 11(4):703 703 10.3390/diagnostics11040703 [DOI] [PMC free article] [PubMed]
  • 130.lanco-Domínguez R, Sánchez-Díaz R, de la Fuente H, et al. A Novel Circulating MicroRNA for the Detection of Acute Myocarditis. N Engl J Med. 2021;384(21):2014–2027. doi: 10.1056/nejmoa2003608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Corsten MF, Papageorgiou AP, Wouter Verhesen, et al. MicroRNA Profiling Identifies MicroRNA-155 as an Adverse Mediator of Cardiac Injury and Dysfunction During Acute Viral Myocarditis. 2012;111(4):415–425. 10.1161/circresaha.112.267443 [DOI] [PubMed]
  • 132.Obradović D, Rommel K, Blazek S, et al. The potential role of plasma miR-155 and miR-206 as circulatory biomarkers in inflammatory cardiomyopathy. Esc Heart Failure. 2021;8(3):1850–1860. doi: 10.1002/ehf2.13304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Ardian Rizal, Yoga Waranugraha, Adhika Prastya Wikananda, Yoga Yuniadi. Identification of microRNAs as diagnostic biomarkers for atrial fibrillation: a systematic review and meta-analysis. Frontiers in Cardiovascular Medicine. 2023;10. 10.3389/fcvm.2023.1128708 [DOI] [PMC free article] [PubMed]
  • 134.Parvan R, Hosseinpour M, Moradi Y, Devaux Y, Cataliotti A, da Silva GJJ. Diagnostic performance of microRNAs in the detection of heart failure with reduced or preserved ejection fraction: a systematic review and meta-analysis. Eur J Heart Fail. 2022;24(12):2212–2225. doi: 10.1002/ejhf.2700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Lam JKW, Chow MYT, Zhang Y, Leung SWS. siRNA versus miRNA as therapeutics for gene silencing. Mol Ther Nucleic Acids. 2015;4(9):e252. doi: 10.1038/mtna.2015.23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Adams D, Gonzalez-Duarte A, O’Riordan WD, et al. Patisiran, an RNAi Therapeutic, for hereditary transthyretin amyloidosis. N Engl J Med. 2018;379(1):11–21. doi: 10.1056/nejmoa1716153. [DOI] [PubMed] [Google Scholar]
  • 137.Adams D, Tournev IL, Taylor MS, Coelho T, Planté-Bordeneuve V, Berk JL, González-Duarte A, Gillmore JD, Low SC, Sekijima Y, Obici L. Efficacy and safety of vutrisiran for patients with hereditary transthyretin-mediated amyloidosis with polyneuropathy: a randomized clinical trial. Amyloid. 2023;30(1):18–26. doi: 10.1080/13506129.2022.2091985. [DOI] [PubMed] [Google Scholar]
  • 138.HELIOS-B: a study to evaluate vutrisiran in patients with transthyretin amyloidosis with cardiomyopathy. ClinicalTrials.gov Identifier: NCT04153149. Sponsor: Alnylam Pharmaceuticals. Status: Active, not recruiting. First posted: November 6, 2019. Last update posted: February 2, 2024. Available from: https://classic.clinicaltrials.gov/ct2/show/NCT04153149
  • 139.APOLLO-B: a study to evaluate patisiran in participants with transthyretin amyloidosis with cardiomyopathy (ATTR amyloidosis with cardiomyopathy). ClinicalTrials.gov Identifier: NCT03997383. [Sponsor information not available]. First posted: June 25, 2019. Results first posted: October 18, 2023. Last update posted: October 18, 2023. Available from: https://clinicaltrials.gov/ct2/history/NCT03997383?V_1=View
  • 140.Paunovska K, Loughrey D, Dahlman JE. Drug delivery systems for RNA therapeutics. Nature reviews genetics. Published online January 4, 2022. 10.1038/s41576-021-00439-4 [DOI] [PMC free article] [PubMed]
  • 141.Liu Y, Lyu X, Tan S, Zhang X. Research progress of exosomal non-coding RNAs in cardiac remodeling. Int J Med Sci. 2023;20(11):1469–1478. doi: 10.7150/ijms.83808. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No datasets were generated or analysed during the current study.


Articles from Current Heart Failure Reports are provided here courtesy of Springer

RESOURCES