Abstract
Valve disease and particularly calcific aortic valve disease (CAVD) and diabetes (DM) are progressive diseases constituting a global health burden for all aging societies (Progress in Cardiovascular Diseases. 2014;56(6):565: Circulation Research. 2021;128(9):1344). Compared to non‐diabetic individuals (The Lancet. 2008;371(9626):1800: The American Journal of Cardiology. 1983;51(3):403: Journal of the American College of Cardiology. 2017;69(12):1523), the diabetic patients have a significantly greater propensity for cardiovascular disorders and faster degeneration of implanted bioprosthetic aortic valves. Previously, using an original experimental model, the diabetic‐hyperlipemic hamsters, we have shown that the earliest alterations induced by these conditions occur at the level of the aortic valves and, with time these changes lead to calcifications and CAVD. However, there are no pharmacological treatments available to reverse or retard the progression of aortic valve disease in diabetes, despite the significant advances in the field. Therefore, it is critical to uncover the mechanisms of valve disease progression, find biomarkers for diagnosis and new targets for therapies. This review aims at presenting an update on the basic research in CAVD in the context of diabetes. We provide an insight into the accumulated data including our results on diabetes‐induced progressive cell and molecular alterations in the aortic valve, new potential biomarkers to assess the evolution and therapy of the disease, advancement in targeted nanotherapies, tissue engineering and the potential use of circulating endothelial progenitor cells in CAVD.
Keywords: aortic valve, calcification, diabetes, endothelial progenitor cells, high glucose, nanotherapy, stem cell therapy, tissue engineering, valvular endothelial cells, valvular interstitial cells
1. INTRODUCTION
Valve diseases and particularly calcific aortic valve disease (CAVD) and diabetes are progressive maladies and a global health burden for all aging societies. 1 , 2 Diabetic patients have a significantly greater propensity for cardiovascular disorders compared to non‐diabetic individuals. 3 , 4 , 5 Accelerated CAVD is predictive of poor prognosis in valve disease and of faster degeneration of implanted bioprosthetic aortic valves. 6 Patients with diabetes mellitus (DM) not only have an amplified risk of CAVD but also a significantly increased new incidence 7 , 8 of aortic stenosis, that progresses rapidly from mild to severe. 9 Histopathological assessments showed a high degree of calcification in diseased aortic valves of DM patients compared to non‐diabetic patients. 10 Clinical, histological and animal model experiments revealed the complexity of the processes leading to CAVD. Using an original experimental model of hyperlipidemia and hyperglycaemia, we have shown that the aortic valve was the first vascular territory greatly affected by these two aggressors. 11 CAVD evolves progressively. It is a complex, cellular‐ driven process in which the valvular endothelial cells (VECs), valvular interstitial cells (VICs) and their interaction with the extracellular matrix have the key roles. VECs are the first cells to be affected by hyperglycaemia, whereas VICs are the key players in the process of valve calcification and mineralization.
To date, there are no pharmacological treatments available to reverse or retard the progression of CAVD. Traditional cardiovascular drugs like cholesterol‐lowering therapies (statins) and renin–angiotensin system blocking drugs have proven to be unsuccessful in slowing the progression of CAVD in clinical trials. 12 , 13 , 14 , 15 These findings suggest that despite the similarity of the risk factors that induce calcification of vascular and valvular structures, different mechanisms underlie the development and progression of their mineralization. 16 , 17 , 18
Aortic stenosis (AS), the second most common indication for cardiac surgery, is most often treated by open‐heart or transcatheter aortic valve replacement 19 ; both approaches are associated with a high risk of adverse events and substantial healthcare costs. 20 Given that the burden of diabetes and CAVD will continue to increase worldwide in the coming decade and that currently, there is no reliable method of determining the optimal timing of intervention for a patient with asymptomatic AS or predicting when a patient will become symptomatic, a pharmacological method to reverse or slow the progression of CAVD is greatly needed. To this purpose, it is critical to continue to uncover the specific mechanisms of valve disease progression, to reveal accurate biomarkers for diagnosis and find new targets for therapies.
Despite significant advances in the field, to our knowledge, there are no specific targets or targeted therapies for the treatment of aortic valve disease in DM, urging for the need of new insights into the underlying cellular and molecular mechanism(s) on the basis of which new biomarkers, innovative bioengineering approaches and therapies for diabetes‐associated valve disease could be developed.
We present here an update on diabetes‐induced progressive changes in aortic valve structure and function, the advances in revealing molecular signatures and the new putative up‐regulated molecules that could be potential accurate biomarkers for diagnosis and/or targets for CAVD in diabetes. Novel therapeutic strategies, i.e. targeted nanotherapy addressed to the diseased cells, stem cell therapy and recent advancements in valvular tissue engineering are discussed. The recent advances on CAVD in diabetes bring confidence for the prospective progress in the treatment of this disorder and for the reduction of valve replacement surgery.
2. AORTIC VALVE STRUCTURE AND FUNCTION IS ALTERED IN DIABETES
2.1. Normal aortic valve structure and function
The aortic valve is a tricuspid valve responsible for maintaining the unidirectional blood flow from the left ventricle into the aorta. The valve consists of three thin semilunar cusps (thickness of less than 1 mm in humans) i.e. left, right and non‐coronary cusps, that are attached to a crown‐shaped annulus at the base. 21 The thickness of the leaflets is not uniform but increases toward the free cusps margins. 22 During the cardiac cycle, the cusps are exposed to various stresses, including pressure, tension and bending forces. 23 The peak velocity of the blood flow through aortic valves during each cardiac systole is approximately 1.35 m/s, 24 but in a calcified and thickened valve, the velocity may exceed 4 m/s, which eventually leads to progressive valvular stenosis. Biomechanical stimuli induce phenotypic and gene expression profile changes in valvular cells. The ventricular surface of the aortic cusps is exposed to unidirectional shear stress, while the aortic side is exposed to oscillatory shear stress 25 ; as a consequence, the valvular endothelial cells (VECs) lining the two sides of the leaflets have distinct phenotypes and gene expression profiles.
Each leaflet has a trilaminar structure (fibrosa, spongiosa, and ventricularis), vital for the biomechanical properties of the aortic valve. 26 The fibrosa, facing the aorta, is exposed to low shear stress secondary to diastolic, low velocity and disturbed blood flow. The fibrosa, containing mainly type I and type III collagen fibres, provides most of the tensile strength to the valve. The central layer, spongiosa, which represents about 60%–70% of the thickness of the cusp is rich in glycosaminoglycans (GAGs), components of proteoglycans that are highly hydrated, and act as “shock absorbers” during the cardiac cycle. The ventricularis, the layer facing the left ventricle, contains collagen and elastin fibres, providing more compliance; it grants the apposition of free edge leaflet regions and prevents the backward blood flow into the left ventricle during diastole. 27 , 28 The ventricular side of the cusps is exposed to high‐shear stress due to a systolic, high velocity and laminar blood flow. The normal valve leaflet is avascular 29 but innervated by afferent and efferent nerves which contribute to valve function. 30
As the entire cardiovascular system, the aortic valve surfaces are lined by endothelial cells that regulate vascular tone, inflammation, thrombosis and remodelling. They sense changes in shear stress and translate these mechanical stimuli into biological responses. 31 There is evidence that VECs express von Willebrand factor, exhibit angiotensin converting enzyme activity and synthesize a rich extracellular matrix 32 ; moreover, the cells are coupled by functional communicating (gap) junctions. VECs produce fibronectin, prostacyclin, hyaluronic acid and heparin‐like GAGs and are metabolically active taking up LDL. 33 , 34 Although VECs were shown to share many functions similar to endothelial cells (ECs) from other locations, 33 they also display valve‐specific alignment, with a perpendicular orientation to flow, as compared to aortic ECs which respond to flow by aligning parallel to the direction of flow. Moreover, VECs response to shear stress was shown to be different when compared to aortic EC, 35 , 36 and the responses were found to be dependent on cytoskeletal reorientation. Interestingly, VECs display a different transcriptional profile compared to aortic EC. 31
The predominant cell population that resides in the valve interstitium are the valvular interstitial cells (VICs), which serve to maintain tissue homeostasis and structural integrity. As shown in Figure 1, these cells are embedded within the valve extracellular matrix (ECM), lack an organized basal lamina and present numerous slender extensions that establish contact with VECs and the neighbouring VICs. 37 These cells are responsible for the generation, maintenance and repair of the ECM which is mainly composed of elastin, collagen and proteoglycans. 26 , 38 We have reported that VICs display both fibroblasts and vascular smooth muscle cells characteristics. 39 Interactions between mechanical forces, valvular cells and the ECM influence remodelling potential and therefore durability of heart valves.
In addition to VICs, the valvular stroma is populated with some resident macrophages and very rare smooth muscle cells. 40 A population of resident stem cells lying within the cusps has recently been identified. 41 They appear to originate from the mobilization of hematopoietic‐derived stem cells towards cardiac valves, 42 potentially contributing to normal or abnormal valve repair.
2.2. Diabetes‐induced changes in the aortic valve structure and function
Experimental and clinical studies have shown that the aortic valve root is a lesion‐prone area for atherosclerotic plaque development one of the first and faster affected areas in animal models of combined diabetes and atherosclerosis. 11 Notably, the changes were most consistently observed on the aortic aspect of the valve (fibrosa), the surface exposed to low shear forces and high hydrostatic pressures. In these areas, VECs acquire a synthetic phenotype and these changes are detected as early as 2 weeks after the onset of experimental diabetes. They are associated with a significant hyperplasia of the basal lamina which appeared in multiple interconnected layers in the meshes of which trapped oxidatively modified lipoproteins (initially called extracellular liposomes) were detected. 11 These modified lipoproteins (mLp) were further demonstrated to be transcytosed from the plasma across VECs and accumulate within the subendothelial hyperplasic basal lamina. 43 The VECs exposed on both sides to the hostile microenvironment, i.e. plasma hyperglycaemia/hyperlipidemia and subendothelial mLp, initiate a robust inflammatory reaction, displaying more and new cell adhesion molecules that induce adherence and diapedesis of blood monocytes (Figure 2). The activated VECs in hyperglycaemic‐hyperlipemic conditions also favour platelet adhesion. 44 This is followed by the accumulation of lipid inclusions in VECs and in VICs and of lipid‐laden macrophages, the appearance of small calcification cores scattered throughout the valve ECM, all enclosed in an abundant collagen and microfibrils‐rich subendothelial matrix (Figure 3). With time, cholesterol crystals appear in VECs, VICs and in macrophage‐derived foam cells together with large calcification centres within an extensively proliferated stroma. All these changes occur at a much faster rate in experimental hyperlipidemia/hyperglycaemia than in experimental hyperlipidemia, alone. 11 The onset and progression of the diabetes—accelerated aortic valve lesion is depicted in Figure 4.
In a mouse model of combined dyslipidemia and type 2 diabetes mellitus (the metabolic syndrome), the authors showed that within 6 months the model could reproduce pathophysiology of human AS, including inflammatory infiltrates, aortic valve fibrosis and upregulation of osteogenic genes, mineralization of the aortic leaflets, left ventricular dysfunction and the development of calcified aortic valve disease. 45
Recently, we have reported that early diabetes induces aortic valve dysfunction in diabetic ApoE−/− mice fed with a hyperlipemic diet as detected by echography during the first week after the onset of diabetes. As importantly, we detected changes in the expression of molecules associated with inflammation, remodelling and osteogenesis. Remarkably, the peak aortic jet velocity (a marker of valve dysfunction) was highly correlated with an inflammatory biomarker (VCAM‐1), with pro‐osteogenic markers osteocalcin and alkaline phosphatase (ALP) with remodelling enzymes (MMP9) and with the myofibroblastic marker αSMA. These findings suggest that valvular dysfunction could develop even before clinical signs of AS and may be highly correlated with the specific molecular changes in valvular tissues. These highly expressed molecules may possibly become accurate biomarkers for diagnosis and targets for therapy. 46
A comparison of the evolution of CAVD between diabetic and non‐diabetic subjects 10 showed that the aortic valve leaflet macrocalcification was significantly enhanced in diabetic patients, whereas inflammation was similar in diabetic and non‐diabetic individuals. Moreover, Runx2 and ALP were detected to be significantly higher in diabetic patients suggesting that many valvular cells may undergo osteogenic differentiation. These studies, however, were restricted to surgically removed valve leaflets from patients with end‐stage disease and only highlight a snapshot in time of late‐stage events. 47 , 48 Future investigations involving comparative proteomics and transcriptomics analyses with larger sample sizes are warranted.
In another recent study, 49 the role of small leucine‐rich proteoglycans in degenerative aortic valve disease and the influence of diabetes and hyperglycaemia on human aortic valves and valvular interstitial cells were examined. The results showed that biglycan, but not decorin or lumican was upregulated in degenerated human aortic valve cusps, hypothesizing that biglycan represents a potential link between degenerative aortic valve disease and diabetes. 49
It was also shown that in patients diabetes is associated with increased valvular inflammation, measured by C‐reactive protein expression in patients’ valvular tissue. 50 It was also demonstrated in diabetic patients that advanced glycation end products (AGEs) and AGE receptors (RAGE) accumulation is associated with AS severity; indeed, AGE‐related valvular collagen cross‐linking leads to enhanced inflammation, oxidative stress and calcification of the leaflets. 51
Lately, a prospective cohort study has confirmed that DM is associated with an increased risk of AS. 52 , 53 However, other studies failed to demonstrate an association between AS progression and metabolic syndrome or diabetes during 3 years follow‐up; it was claimed that, in AS patients with well‐controlled DM, the effect of hyperglycaemia on AS severity is minor. 54 More extensive clinical trials are needed to clarify this issue.
3. AORTIC VALVULAR CELLS PHENOTYPE IS PROGRESSIVELY MODIFIED IN DIABETES
3.1. In early diabetes valvular endothelial cells switch to a secretory and adhesive phenotype
As mentioned above, in a diabetic animal model, pathological changes occur particularly on VECs lining the aortic side of the valve, which is exposed to low shear forces and high hydrostatic pressure. 11 Two weeks after onset of diabetes, VECs switched to a secretory phenotype, exhibiting an increased number of the rough endoplasmic reticulum elements, Golgi apparatus, and caveolae, features that correlate well with the progressive development of a multilayered basal lamina. Moreover, VECs exhibit a dramatic abundance of microfilaments, microtubules, centrioles and Weibel‐Palade bodies. 11 This is followed by the VECs switch to an adhesive (pro‐inflammatory) phenotype, a process characterized by the expression of more and new surface adhesion molecules, that attract and induce adherence followed by diapedesis of blood monocytes (Figure 2). We have reported that short exposure of cultured VEC (24 h) to high glucose induces enhanced monocyte adhesion by mechanisms involving ICAM‐1, VCAM‐1, E‐selectin and CD18. 55 Interestingly, the adhesivity of VEC for monocytes was higher than that of aortic ECs, results which may explain, in part, the propensity of cardiac valves for accelerated atherosclerosis in diabetes. 55
3.2. Valvular endothelial cells undergo endothelial‐to‐mesenchymal transition
In diabetes in the aortic valve disease, an early event occurring in VECs in the aortic valve disease is the hyperglycaemia‐induced increased number of intermediary filaments and microtubules and attenuation of intercellular junctions. 11 These features are associated with a switch of endothelial cells to a mesenchymal phenotype.
Endothelial‐to‐mesenchymal transition (EndMT) is a process by which the endothelial cells progressively acquire the phenotypic and functional characteristics of mesenchymal cells and express both endothelial and mesenchymal cell markers. In the heart valves development, EndMT is a physiological process. However, in the adult organisms when activated in the adult organisms, EndMT contributes to the progression of different diseases including diabetic nephropathy, diabetic renal fibrosis, cardiac fibrosis and atherosclerosis 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 and has been shown to play a role in the pathogenesis of CAVD. 64 Numerous in vivo and in vitro studies identified the EndMT‐related stimulants, such as inflammatory cytokines (TNF, IL‐6 and TGF), cellular transition features and underlying signalling pathways. 60 , 61
Although evidence of EndMT in VEC accumulated with time, 65 the precise role of this process in the early‐ and end‐stage phases of CAVD is still unclear. Current data suggest that EndMT precedes osteogenic changes in VECs 61 but more studies are needed to uncover the links between the process of EndMT and calcification.
Hyperglycaemia was shown to induce EndMT in several endothelia such as aortic EC, HUVECs, human retinal EC and glomerular EC. The process involves various mediators, for instance Ephrin B2, TGF‐β, angiotensin II, miR‐328 and signalling pathways, as FAK pathway, MAPK pathways and ROS/ERK1/2/MAPK‐dependent mechanisms. 62 , 63 Future, intensive investigations should focus on the role of these potential risk factors in mediating EndMT in CAVD.
3.3. Chronic hyperglycaemia induces an inflammatory phenotype of valvular endothelial cells
In search for the mechanism(s) of CAVD in diabetic environments, we developed a 3D model of human aortic valve leaflet, based on methacrylate gelatin populated with human VECs and VICs. The construct was exposed to chronic high glucose (HG) for 7 and 14 days, and the phenotypic changes of VECs and VICs were assessed. 64 , 65
As shown in Figure 5, after 7 days of exposure to HG, VECs exhibit an increased expression of inflammatory molecules, cytokines and cell adhesion molecule. Moreover, VECs display an increase expression of BMP‐2, BMP‐4 and RUNX2. The canonical mediators of TGF‐beta signalling, SMAD 2/3 proteins and PKC‐alpha are activated by HG (increased phosphorylation). In addition, HG induces modifications of the interaction between VEC and ECM as suggested by the increased expression of the integrin chains, α4, αV and β1. Particularly, the increase in β1 integrin expression, the main integrin localized at the level of focal adhesions complexes interacting with collagen, suggests also changes in the pattern of focal adhesion complexes and their interaction with ECM.
After 14 days of cell exposure to HG, compared to controls, VEC exhibit an increased expression of cell adhesion molecules:VCAM‐1 and E‐selectin and of integrins αv, α4, β3 and β5. 65 Interestingly, at this time, from the TGF‐beta family, only BMP‐4 expression is increased in VECs. 64
Collectively, these data suggest that chronic HG induces in VEC mainly an inflammatory phenotype, but could have the capacity to adjust and control the expression of several pro‐inflammatory and pro‐osteogenic molecules. More studies will reveal the involvement of these cells in CAVD during the progression of diabetes.
3.4. Chronic hyperglycaemia induces an inflammatory and osteoblastic phenotype in valvular interstitial cells
As mentioned above, VICs, the predominant cell population found within the rich ECM of the aortic valve, are a heterogeneous population. Some VICs, like those found in porcine valves, exhibit a pericyte‐like behavior. 66 Others, like VICs isolated from patients with CAVD, have angiogenic potential 67 and in pathological conditions differentiate into osteoblast‐like cells and promote calcification. 39 , 67 Recently, using single‐cell RNA sequencing for the high‐throughput evaluation of heterogeneity in cells isolated from healthy human aortic valves, three subpopulations of VICs were defined by combining their developmental origin, localization, physical properties, morphology and molecular functions. 68 VICs highly expressed the previously confirmed markers, collagen type IA1 (COL1A1) and type IIIA1 (COL3A1), substantiating that VICs are the primary resident cells in aortic valve tissues.
Activation of VICs is a normal regenerative process in the heart valve, but under pathological conditions, i.e. hyperlipidemia, diabetes or atherosclerosis, their activation leads to the inception of CAVD. 51 There is evidence that elevated glucose levels, similar to those found in DM, enhance mineralization of cultured VICs. 69
To uncover the mechanisms and the molecules implicated in the aortic valve calcification in diabetes, interesting data were obtained on VICs cultured in a 2D and 3D systems. Employing a 2D culture system, VICs did not show morphological changes and did not acquire an osteogenic phenotype in hyperglycaemia or hyperinsulinaemia. 70 However, using a 3D model of human aortic valve, with VECs seeded on the surface of the construct previously encapsulated with VICs, we identified the inflammatory, remodelling and osteogenic changes induced by chronic HG in these cells. 64 , 65
As shown in Figure 5, VICs exposed for 7 days to HG exhibit an enhanced expression of pro‐inflammatory and osteogenic molecules. Importantly, HG increases the expression of RUNX2 transcription factor and activation of SMAD 2/3 and 1/5/8. In addition, HG increases the remodelling activity in VICs, as shown by the enhanced expression of MMP13 (Figure 5). Since HG induce also an increase in the level of reactive oxygen species (ROS), we assume that ROS could play an important role in the switch of VICs to an inflammatory and osteogenic phenotype. Together these results also demonstrate that a 3D valve model containing both VECs and VICs is closer to the in vivo conditions where communication between valvular cells is essential.
Compared to controls, after 14 days of HG exposure, VICs exhibit an increased gene expression of cytokines, cell adhesion molecules, integrins, remodelling and pro‐osteogenic molecules. In addition, the elevated level of the phosphorylated form of PKC‐α could be involved in the production of IL‐1β (Figure 5).
In summary, the above data indicate that chronic hg (that mimics diabetes conditions) induces in human vics co‐cultured with human vecs (in a 3d system), a concomitant inflammatory and osteoblastic phenotype and an increase in their remodelling activity. exposure of vecs and vics to osteogenic conditions leads to the development of calcium deposits, indicating that the 3d model is suitable to study valve calcification in diabetes. 64
4. NEW THERAPEUTIC APPROACHES FOR AORTIC VALVE DISEASE IN DIABETES
Currently, there are no efficient pharmacological treatments to prevent or reverse CAVD. Lately potential medical approaches to circumvent this disease include nanotherapies, which are now beginning to be explored, stem cell therapies and more generally tissue engineering. Some of the advancement in these fields is briefly described below.
4.1. Nanotherapies
Interventions aiming to stop or reverse the osteoblastic transition of VIC may represent a therapeutic option for CAVD. A master transcription factor implicated in osteoblast differentiation is Runt‐related transcription factor 2 (Runx2) that regulates transcription and determines the increased expression of osteogenic genes such as collagen I, alkaline phosphatase (ALP), osteopontin (OSP), bone sialoprotein (BSP) and osteocalcin (OCN). 71 Runx2 is not expressed in normal aortic valves, but its expression is induced in CAVD. 72 , 73 , 74
An increased mRNA Runx2 level was determined in the aortic tissues of mice with combined dyslipidemia and type 2 diabetes compared to non‐diabetic and control mice. 45 We have also detected an increased expression of Runx2 in VICs exposed to HG in a 3D model of human aortic valve. 64 Thus, Runx2 is an important contributor to CAVD in diabetes/diabetic conditions.
Considering that the osteoblastic differentiation of VICs leads to aortic valve calcification and the role of Runx2 in the process, we have developed a nanotherapeutic strategy targeted to prevent the phenotipic differentiation of human aortic VICs into osteoblast‐like cells in diabetic and pro‐osteogenic conditions. 75 We designed nanocarriers to silence Runx2, namely fullerene (C60)‐polyethyleneimine (PEI)/short hairpin (sh)RNA‐Runx2. We reported that these nanocarrriers efficiently downregulate Runx2 mRNA and protein expression leading subsequently to a significant reduction in the expression of osteogenic proteins (i.e. ALP, BSP, OSP and BMP4) in osteoblast‐committed VICs. These data indicated that silencing of Runx2 could represent a novel strategy to impede the osteoblastic phenotypic shift of VICs and the ensuing progress of CAVD. These results motivate further in vivo testing of this proof of concept. The efficient targeting of RUNX2, together with the advances in uncovering the significant molecules/pathways involved in VECs and VICs phenotypic alterations in diabetes, opens new avenues for developing innovative nanotherapeutics for the aortic valve disease in diabetes.
4.2. Stem cell therapy
In general, stem cell therapy was developed to correct the dysfunctional recruitment and homing of progenitor cells. 25 The most studied sources of stem cells are the endothelial progenitor cells (EPCs) and the adipose‐derived stem cells (ADSCs).
EPCs represent a small fraction of the circulatory cells that are involved in vascular repair and angiogenesis. There are data that support the involvement of the αVβ3 and αVβ5 integrins in the adherence of EPC to denuded vessels. 76 In patients with aortic stenosis, valvular endothelium regeneration is impaired not only by an increased senescence of VECs but also by a reduced number and function of circulating EPCs. It is generally accepted that diabetes reduces the number of EPCs and induces dysfunction in circulating EPCs, by mechanisms still uncovered.
In a recent study on streptozotocin‐induced diabetes in ApoE−/− mice, we showed that early‐stage diabetes superimposed on atherosclerosis generates alterations in EPC number, phenotype and homing. 76 Importantly, in atherosclerosis‐prone mice, lower recruitment of EPCs in the aortic valve in early diabetes is the result of reduced EPC number and the decreased expression of α4β1 and αVβ3 integrins on EPCs; these results point to α4β1 and αVβ3 as new potential biomarkers and targets for therapy of the aortic valve in diabetes. 76
It has been shown that PKA‐mediated phosphorylation of α 4β1integrin induced by high glucose plays a role in the bone marrow retention of EPCs. 77 These results suggested two possible therapeutic interventions: a) bone marrow PKA inhibition that would help EPC mobilization, and b) administration of autologous or allogeneic EPCs modified to express higher levels of α4β1 and αVβ3 that will increase their adhesion at sites of vascular and valvular lesions.
Human ADSCs are another source of stem cell, often used in heart valve tissue engineering. Pluripotent mesenchymal stem cells found in relatively high number in the adipose tissue have the capacity to self‐renew and differentiate into many different types of cells; also, these cells synthesize collagen and elastin. 78 Due to their relatively easy isolation and propagation in culture and their differentiation capacity, ADSCs are being employed now in preclinical studies. Currently, extracellular vehicles (EV) derived from ADSCs emerge as both diagnostic biomarkers and therapeutic tools in diabetes. 79
4.3. Valvular tissue repair or regeneration employing biomaterials
Since heart valve tissues cannot regenerate spontaneously, replacement with artificial biological or mechanical heart valves, repair via reconstructive surgery or interventional catheterization is the current treatment option for management of advanced heart valve diseases. 25 Artificial valves have a limited lifespan of ~10–15 years after implantation due to degeneration, calcification and thrombosis. 80 Moreover, durability of artificial valves is further reduced to only 5–7 years in diabetic patients 81 pointing to the need for further mechanistic studies. Recently, the group of Ferrari et al. have shown that oxidation and glycation contribute to the early demise of bioprosthetic heart valves in diabetic conditions. 82 Tissue‐Engineered Heart Valves (TEHVs) might offer a new generation of cardiac valves aiming to overcome the limitations of the existing biological and mechanical heart valves 83 Living TEHV could be capable of self‐regeneration and growth, with greater life span and better biocompatibility. Overall, TEHVs are still in their infancy period, and the translation to the clinic still faces many challenges. 25 Notably, it is not known what the effect of diabetes would be on implanted TEHV, specifically on the scaffolds or directly on the cells. We have shown earlier that pre‐implantation treatment of the scaffolds with an antioxidant (penta galloyl glucose), a matrix binding polyphenol, reduces aortic valve scaffold biodegradation and calcification, 84 thus opening avenues for development of TEHV resistant to diabetes.
5. FUTURE CHALLENGES AND OPPORTUNITIES
First believed that the aortic valve calcification is a passive degenerative process, it is now recognized that is a cell‐driven active process accomplished by resident cells, plasma‐recruited cells and the molecules they produce.
However, CAVD is still an enigma. To devise therapies (currently non‐existent), it is mandatory to uncover the molecular mechanisms underlying the implication of the valvular cells in the pathology of CAVD, in particular in diabetes, where hyperglycaemia deeply affects valvular cells and accelerates the disease.
The process is complex and multifactorial, involving, besides the valvular cells, cytokines, growth factors, matrix proteins, cell adhesion molecules, cytoskeletal components, transcription factors and signal transducers. A list of molecules exhibiting an enhanced gene and protein expression in the aortic valve in diabetes is shown in Table 1.
TABLE 1.
Family | Name | Gene and proteins Increased expression | Cell Location | Condition | Model | Ref. |
---|---|---|---|---|---|---|
Cytokines | MCP−1 | MCP−1 gene | VECs, VICs | HG | 3D model of the human aortic valve | 60 |
Soluble MCP−1 protein | CM | |||||
TNF‐α | TNF‐α gene |
VECs, VICs CM |
||||
IL8 | IL8 gene | |||||
ILl‐β | ILl‐β gene | |||||
ILl‐β | Soluble ILl‐β protein | |||||
Cell adhesion molecules | VCAM−1 | VCAM−1 protein | VECs | HG | 2D | 50 |
VCAM−1 gene | VECs, VICs | HG | 3D | 60 | ||
VCAM−1 protein | Aortic valve | Early DM | HLD mouse | 41 | ||
ICAM−1 | ICAM−1 protein | |||||
P‐selectin | P‐selectin protein | |||||
E‐selectin | E‐selectin protein | VECs | HG | 2D | 60 | |
E‐selectin gene | VECs, VICs | HG | 3D | 60 | ||
IC α4 | IC α4 gene | VECs | ||||
IC αv | IC αv gene | |||||
IC β1 | IC β1 gene | |||||
IC β3 | IC β3 gene | VECs, VICs | ||||
IC β5 | IC β5 gene | |||||
TGF‐β family members | TGF–β | Soluble TGF–β protein | CM | HG | 3D | |
TGF–β protein | Aortic valve | Early DM | HLD mouse | 41 | ||
BMP−2 | BMP−2 protein | |||||
Soluble BMP−2 | CM | HG | 3D | 59 | ||
BMP−2 gene | VECs, VICs | |||||
BMP−4 | BMP−4 protein | Aortic valve | Early DM | HLD mouse | ||
BMP−4 gene | VECs, VICs | HG | 3D | 60 | ||
Osteogenic molecules | OC | OC protein | Aortic valve | Early DM | HLD mouse | 41 |
OC gene | VICs | HG | 3D | 59 | ||
OP | OP protein | Aortic valve | Early DM | HLD mouse | 41 | |
OP protein | 6‐mo DM | LAI mouse | 40 | |||
OP protein | VICs | βGP | 2D | 44 | ||
OP gene | HG | 3D | 59 | |||
ALP | ALP protein | Aortic valve | DM | DM patients | 60 | |
ALP protein | Early DM | HLD mouse | ||||
ECM proteins | FN | FN protein | Aortic valve | Early DM | HLD mouse | 41 |
LAM | LAM gene | VECs | HG | 3D | 60 | |
COL III | COL III gene | VICs | ||||
MMPs | MMP−2 | MMP−2 protein | Aortic valve | Early DM | HLD mouse | 41 |
MMP−9 | MMP−9 protein | |||||
MMP−1 | MMP−1gene | VICs | HG | 3D | 59 | |
MMP−13 | MMP−13 gene | |||||
SLPGs | BYG | BYG gene | Aortic valve | DM | DM patients | 44 |
BYG protein | ||||||
BYG protein | VICs | βGP | 2D | |||
AGEs | AGEs | AGEs | Aortic valve | DM | DM patients | 46 |
Plasma | ||||||
AGEs receptors | RAGE | RAGE | Human Aortic valve | DM | DM patients | 46 |
Plasma | ||||||
GPs | vWF | vWF gene | VECs | HG | 3D | 60 |
Actin protein family | α‐SMA | α‐SMA protein | Aortic valve | Early DM | HLD mouse | 41 |
S100 family | S100‐A4 | S100‐A4 protein | Aortic valve | Early DM | HLD mouse | 41 |
Annexins | ANXII | ANXII protein | Aortic valve | DM | DM patients | 5 |
TX factors | RUNX−2 | RUNX−2 protein | Aortic valve | DM | DM patients | 5 |
RUNX−2 gene | VECs, VICs | HG | 3D | |||
RUNX−2 protein | VICs | 59 | ||||
Signal transducers | pSMAD1/5/8/9 | pSMAD1/5/8/9 protein | VICs | HG | 3D | 59 |
pSMAD 2/3 | pSMAD 2/3protein | VECs, VICs | ||||
pPKC | pPKC protein | 60 |
Abbreviations: 2D, Two‐dimensional model; 3D, Three‐dimensional model; AGEs, Advanced glycation end products; ALP, Alkaline phosphatase; ANX, Annexin; BMP, Bone morphogenetic protein; BYG, Biglycan; CM, Conditioned media; COL III, Type III collagen; DM, Diabetes mellitus; FN, Fibronectin; HG, High‐glucose media; HLD, Hyperlipemic diabetic; IC, Integrin chain; ICAM‐1, Intercellular adhesion molecule 1; IL‐1β, Interleukin 1 beta; IL‐8, Interleukin 8; LAI, Diabetes mellitus‐prone LDLr−/−/ApoB100/100/IGF‐II; LAM, Laminin gamma chain; MCP‐1, Monocyte chemoattractant protein1; MMP, Matrix metalloproteinase; OC, Osteocalcin; OP, Osteopontin; pPKC, Phosphorylated protein kinase C; pSMAD, Phosphorylated SMAD; RAGE, AGE receptor; Ref, Reference cited; RUNX‐2, Runt‐related transcription factor 2; S100‐A4, S100 calcium‐binding protein A4; SLPGs, Small leucine‐rich proteoglycans; TGF‐β, Transforming growth factor beta; TNF‐α, Tumor necrosis factor alpha; TX, Transcription; VCAM‐1, Vascular cell adhesion molecule 1; VECs, Valvular endothelial cells; VICs, Valvular interstitial cells; vWF, Von Willebrand factor; α‐SMA, α‐ smooth muscle actin; βGP, β‐Glycero‐phosphate stimulation.
The pioneering studies performed in experimental hyperlipidemia/hyperglycaemia by Dr Maya Simionescu's group identified the aortic valve as the first vascular territory affected by diabetes. 11 Recently, employing murine models and in vitro studies using 3D valve scaffolds we have shown that early diabetes induces almost concurrently inflammatory and osteogenic modifications of the valvular interstitial cells leading to increased calcium deposition and overall valve dysfunction. 46 , 64 , 65 Notably, our studies suggest that, in diabetic conditions, a significant inflammatory process occurs in the valve even in the absence of macrophage infiltration. Interestingly, the aortic valve dysfunction takes place at very early stages in diabetes, without detection of a statistically significant aortic valve thickening.
Recent studies focused on CAVD mechanisms led to the identification of new biomarkers for diagnosis and therapies. For example, Lipoprotein A was reported to correlate with the aortic valve calcification. Matrix‐remodelling‐associated protein 5 (MXRA5) and a fibronectin type III domain containing 1 (FNDC1), associated with ECM, were revealed as novel biomarkers of calcified valves.85 Lately, miRNAs were proposed as innovative biomarkers and therapeutic strategies for aortic valve stenosis, as revealed in a groundbreaking pre‐clinical study using inhibitors of miR‐34a. 86 , 87 , 88
However, there are few data that identify biomarkers in CAVD in diabetes. Several differentially expressed “early” molecules which could serve as putative biomarkers for diagnosis and therapeutic targets in aortic valve disease in diabetes are presented in Table 1. Still, it remains a future challenge to identify accurate biomarkers to be employed for diagnosis and therapy for this disease.
Importantly, new nanocarriers aiming to block the shift of VICs to an osteoblastic phenotype were tested and found to be efficient in vitro; these results pave the way to the development of nanotherapies for CAVD. 75 Another potential promise for treatment of CAVD is the recently emerged stem cell therapy. In addition, tissue engineering of AV attains continuously new improvements. A challenge for the future of valve replacement is to provide a viable valve populated with cells capable of self‐regeneration and growth, with greater life span, better biocompatibility and resistance to diabetes. 89 , 90 , 91 , 92
Meanwhile complex emerging technologies such as the next‐generation ‘omics’ techniques allows the study of the miRNAome, transcriptome, proteome and secretome 93 , 94 , 95 , 96 ; these big data will require analysis by improved bioinformatics tools which will lead to identification of the most relevant targets and the best therapeutic option. Transcriptional analyses of human aortic valves all focused on aortic stenosis were recently reported. Notably, a cell‐type transcriptome atlas of human aortic valves was elaborated showing the cell heterogeneity and the involvement of endothelial to mesenchymal transition in the evolution of calcific aortic valve disease. 73 The study is an opportunity to understand the implication and the interaction of different valvular cells in CAVD in diabetes.
Another emerging perspective to be explored for the diagnosis and therapy of CAVD in diabetes are the extracellular vesicles (EV). There is evidence of the potential role of ADSC‐derived EVs in different pathologic conditions, either as biomarkers or as a direct effector or as a delivery system to target miRNAs to cells. 79
Finally, to find relevant targets for therapy, new animal models 96 , 97 which could recapitulate the evolution of human AV disease need to be developed. Once obtained, the newly found therapeutical targets need to be further validated in 3D‐human aortic valve models, 64 , 98 as well as in large animals, for evaluation of safety and efficacy, before testing in clinical trials. 99 These new data together with the present achievements in the biomedical science warrant a good perspective to find ways to prevent, slow‐down or reverse CAVD in diabetes. 100
CONFLICT OF INTEREST
The authors declare no conflict of interest.
AUTHOR CONTRIBUTION
Ileana Manduteanu: Conceptualization (equal); Writing‐original draft (equal); Writing‐review & editing (equal). Dan Simionescu: Resources (equal); Visualization (equal); Writing‐review & editing (equal). Agneta Simionescu: Supervision (equal); Writing‐review & editing (equal). Maya Simionescu: Formal analysis (equal); Project administration (equal); Supervision (equal); Writing‐review & editing (equal).
ACKNOWLEDGMENTS
We acknowledge the funding from the Competitiveness Operational Programme 2014–2020, Priority Axis1/Action 1.1.4/, Financing Contract no. 115/13.09.2016/ MySMIS:104362 and by Romanian Academy. We also acknowledge funding from NIH grant R01HL133303‐02 (to AS), NIH grant P30GM131959‐01 from NIGMS (to DS) and the Harriet and Jerry Dempsey Endowment (to DS).
Manduteanu I, Simionescu D, Simionescu A, Simionescu M. Aortic valve disease in diabetes: Molecular mechanisms and novel therapies. J Cell Mol Med. 2021;25:9483–9495. 10.1111/jcmm.16937
DATA AVAILABILITY STATEMENT
The dataset presented in this study is available from the corresponding author upon reasonable request.
REFERENCES
- 1. Thaden JJ, Nkomo VT, Enriquez‐Sarano M. The global burden of aortic stenosis. Prog Cardiovasc Dis. 2014;56(6):565‐571. 10.1016/j.pcad.2014.02.006 [DOI] [PubMed] [Google Scholar]
- 2. Driscoll K, Cruz AD, Butcher JT. Inflammatory and biomechanical drivers of endothelial‐interstitial interactions in calcific aortic valve disease. Circ Res. 2021;128(9):1344‐1370. 10.1161/CIRCRESAHA.121.318011. Epub 2021 Apr 29 PMID: 33914601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Mazzone T, Chait A, Plutzky J. Cardiovascular disease risk in type 2 diabetes mellitus: insights from mechanistic studies. Lancet. 2008;371(9626):1800‐1809. 10.1016/S0140-6736(08)60768-0. PMID: 18502305; PMCID: PMC2774464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Waller BF, Roberts WC. Cardiovascular disease in the very elderly. Analysis of 40 necropsy patients aged 90 years or over. Am J Cardiol. 1983;51(3):403‐421. 10.1016/s0002-9149(83)80072-1. PMID: 6823855. [DOI] [PubMed] [Google Scholar]
- 5. Yan AT, Koh M, Chan KK, et al. Association between cardiovascular risk factors and aortic stenosis: the CANHEART aortic stenosis study. J Am Coll Cardiol. 2017;69(12):1523‐1532. 10.1016/j.jacc.2017.01.025. PMID: 28335833. [DOI] [PubMed] [Google Scholar]
- 6. Lorusso R, Gelsomino S, Luca F, et al. Type 2 diabetes mellitus is associated with faster degeneration of bioprosthetic valve: results from a propensity score‐matched Italian multicenter study. Circulation. 2012;125:604‐614. [DOI] [PubMed] [Google Scholar]
- 7. Mazzone T, Chait A, Plutzky J. Cardiovascular disease risk in type 2 diabetes mellitus: insights from mechanistic studies. Lancet. 2008;371:1800‐1809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Katz R, Budoff MJ, Takasu J, et al. Relationship of metabolic syndrome with incident aortic valve calcium and aortic valve calcium progression: the Multi‐Ethnic Study of Atherosclerosis (MESA). Diabetes. 2009;58:813‐819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Banovic M, Athithan L, McCann GP. Aortic stenosis and diabetes mellitus: an ominous combination. Diab Vasc Dis Res. 2019;16:310‐323. [DOI] [PubMed] [Google Scholar]
- 10. Mosch J, Gleissner CA, Body S, Aikawa E. Histopathological assessment of calcification and inflammation of calcific aortic valves from patients with and without diabetes mellitus. Histol Histopathol. 2017;32:293‐306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Simionescu M, Popov D, Sima A, et al. Pathobiochemistry of combined diabetes and atherosclerosis studied on a novel animal model. The hyperlipemic‐hyperglycemic hamster. Am J Pathol. 1996;148:997‐1014. [PMC free article] [PubMed] [Google Scholar]
- 12. Rossebo AB, Pedersen TR, Allen C, et al. Design and baseline characteristics of the simvastatin and ezetimibe in aortic stenosis (SEAS) study. Am J Cardiol. 2007;99:970‐973. [DOI] [PubMed] [Google Scholar]
- 13. Rossebo AB, Pedersen TR. Hyperlipidaemia and aortic valve disease. Curr Opin Lipidol. 2004;15:447‐451. [DOI] [PubMed] [Google Scholar]
- 14. Teo KK, Corsi DJ, Tam JW, Dumesnil JG, Chan KL. Lipid lowering on progression of mild to moderate aortic stenosis: meta‐analysis of the randomized placebo‐controlled clinical trials on 2344 patients. Can J Cardiol. 2011;27:800‐808. [DOI] [PubMed] [Google Scholar]
- 15. Agmon Y, Khandheria BK, Meissner I, et al. Aortic valve sclerosis and aortic atherosclerosis: different manifestations of the same disease? insights from a population‐based study. J Am Coll Cardiol. 2001;38:827‐834. [DOI] [PubMed] [Google Scholar]
- 16. van Rosendael PJ, Kamperidis V, Kong WK, et al. Comparison of quantity of calcific deposits by multidetector computed tomography in the aortic valve and coronary arteries. Am J Cardiol. 2016;118:1533‐1538. [DOI] [PubMed] [Google Scholar]
- 17. Weisenberg D, Sahar Y, Sahar G, et al. Atherosclerosis of the aorta is common in patients with severe aortic stenosis: an intraoperative transesophageal echocardiographic study. J Thorac Cardiovasc Surg. 2005;130:29‐32. [DOI] [PubMed] [Google Scholar]
- 18. Vahanian A, Alfieri O, Andreotti F, et al. Joint Task Force on the Management of Valvular Heart Disease of the European Society of C and European Association for Cardio‐Thoracic S . Guidelines on the management of valvular heart disease (version. the joint task force on the management of valvular heart disease of the European society of cardiology (ESC) and the European association for cardio‐thoracic surgery (EACTS). Eur J Cardiothorac Surg. 2012;2012(42):S1‐S44. [DOI] [PubMed] [Google Scholar]
- 19. Aronow WS. Indications for surgical aortic valve replacement. J Cardiovasc Dis Diagn. 2013;4(1):1‐4. [Google Scholar]
- 20. Giritharan S, Cagampang F, Torrens C, Salhiyyah K, Duggan S, Ohri S. Aortic stenosis prognostication in patients with type 2 diabetes: protocol for testing and validation of a biomarker‐derived scoring system. JMIR Res Protoc. 2019;8:e13186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. IsmailEl‐HamamsyAdrian H, ChesterMagdi H. Yacoub Cellular regulation of the structure and function of aortic valves. Journal of Advanced Research. 2010;1(1):5‐12. [Google Scholar]
- 22. Ho SY. Structure and anatomy of the aortic root. Eur J Echocardiogr. 2009;10:i3‐i10. [DOI] [PubMed] [Google Scholar]
- 23. Chester AH, El‐Hamamsy I, Butcher JT, Latif N, Bertazzo S, Yacoub MH. The living aortic valve: from molecules to function. Glob Cardiol Sci Pract. 2014;2014(1):11. 10.5339/gcsp.2014.11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Balachandran K, Sucosky P, Yoganathan AP. Hemodynamics and mechanobiology of aortic valve inflammation and calcification. Int J Inflam. 2011;2011:263870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Taghizadeh B, Ghavami L, Derakhshankhah H, et al. Biomaterials in valvular heart diseases. Front Bioeng Biotechnol. 2020;8:529244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Tseng H, Grande‐Allen KJ. Elastic fibers in the aortic valve spongiosa: a fresh perspective on its structure and role in overall tissue function. Acta Biomater. 2011;7:2101‐2108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Lindman BR, Clavel MA, Mathieu P, et al. Calcific aortic stenosis. Nat Rev Dis Primers. 2016;2:16006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Mathieu P, Bouchareb R, Boulanger MC. Innate and adaptive immunity in calcific aortic valve disease. J Immunol Res. 2015;2015:851945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Alushi B, Curini L, Christopher MR, et al. Calcific aortic valve disease‐natural history and future therapeutic strategies. Front Pharmacol. 2020;11:685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Chester AH, Kershaw JD, Sarathchandra P, Yacoub MH. Localisation and function of nerves in the aortic root. J Mol Cell Cardiol. 2008;44:1045‐1052. [DOI] [PubMed] [Google Scholar]
- 31. White CR, Frangos JA. The shear stress of it all: the cell membrane and mechanochemical transduction. Philos Trans R Soc Lond B Biol Sci. 2007;362:1459‐1467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Manduteanu I, Popov D, Radu A, Simionescu M. Calf cardiac valvular endothelial cells in culture: production of glycosaminoglycans, prostacyclin and fibronectin. J Mol Cell Cardiol. 1988;20:103‐118. [DOI] [PubMed] [Google Scholar]
- 33. Mongkoldhumrongkul N, Yacoub MH, Chester AH. Valve endothelial cells‐not just any old endothelial cells. Curr Vasc Pharmacol. 2016;14:146‐154. [DOI] [PubMed] [Google Scholar]
- 34. Manduteanu IVE, Simionescu M. Uptake of LDL by valvular endothelial cells in culture. Rev Roum Biochim. 1990;27:235‐238. [Google Scholar]
- 35. Butcher JT, Penrod AM, Garcia AJ, Nerem RM. Unique morphology and focal adhesion development of valvular endothelial cells in static and fluid flow environments. Arterioscler Thromb Vasc Biol. 2004;24:1429‐1434. [DOI] [PubMed] [Google Scholar]
- 36. Farivar RS, Cohn LH, Soltesz EG, Mihaljevic T, Rawn JD, Byrne JG. Transcriptional profiling and growth kinetics of endothelium reveals differences between cells derived from porcine aorta versus aortic valve. Eur J Cardiothorac Surg. 2003;24:527‐534. [DOI] [PubMed] [Google Scholar]
- 37. Taylor PM, Batten P, Brand NJ, Thomas PS, Yacoub MH. The cardiac valve interstitial cell. Int J Biochem Cell Biol. 2003;35:113‐118. [DOI] [PubMed] [Google Scholar]
- 38. Chen JH, Simmons CA. Cell‐matrix interactions in the pathobiology of calcific aortic valve disease: critical roles for matricellular, matricrine, and matrix mechanics cues. Circ Res. 2011;108:1510‐1524. [DOI] [PubMed] [Google Scholar]
- 39. Filip DA, Radu A, Simionescu M. Interstitial cells of the heart valves possess characteristics similar to smooth muscle cells. Circ Res. 1986;59:310‐320. [DOI] [PubMed] [Google Scholar]
- 40. El‐Hamamsy I, Chester AH, Yacoub MH. Cellular regulation of the structure and function of aortic valves. J Adv Res. 2010;1(1):5‐12. 10.1016/j.jare.2010.02.007 [DOI] [Google Scholar]
- 41. Chen JH, Yip CY, Sone ED, Simmons CA. Identification and characterization of aortic valve mesenchymal progenitor cells with robust osteogenic calcification potential. Am J Pathol. 2009;174:1109‐1119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Visconti RP, Ebihara Y, LaRue AC, et al. An in vivo analysis of hematopoietic stem cell potential: hematopoietic origin of cardiac valve interstitial cells. Circ Res. 2006;98:690‐696. [DOI] [PubMed] [Google Scholar]
- 43. Dobrian A, Mora R, Simionescu M, Simionescu N. In vitro formation of oxidatively‐modified and reassembled human low‐density lipoproteins: antioxidant effect of albumin. Biochim Biophys Acta. 1993;1169:12‐24. [DOI] [PubMed] [Google Scholar]
- 44. Manduteanu I, Calb M, Lupu C, Simionescu N, Simionescu M. Increased adhesion of human diabetic platelets to cultured valvular endothelial cells. J Submicrosc Cytol Pathol. 1992;24:539‐547. [PubMed] [Google Scholar]
- 45. Le Quang K, Bouchareb R, Lachance D, et al. Early development of calcific aortic valve disease and left ventricular hypertrophy in a mouse model of combined dyslipidemia and type 2 diabetes mellitus. Arterioscler Thromb Vasc Biol. 2014;34:2283‐2291. [DOI] [PubMed] [Google Scholar]
- 46. Tucureanu MM, Filippi A, Alexandru N, et al. Diabetes‐induced early molecular and functional changes in aortic heart valves in a murine model of atherosclerosis. Diab Vasc Dis Res. 2019;16:562‐576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Aikawa E, Otto CM. Look more closely at the valve: imaging calcific aortic valve disease. Circulation. 2012;125:9‐11. [DOI] [PubMed] [Google Scholar]
- 48. New SE, Aikawa E. Molecular imaging insights into early inflammatory stages of arterial and aortic valve calcification. Circ Res. 2011;108:1381‐1391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Barth M, Selig JI, Klose S, et al. Degenerative aortic valve disease and diabetes: Implications for a link between proteoglycans and diabetic disorders in the aortic valve. Diab Vasc Dis Res. 2019;16:254‐269. [DOI] [PubMed] [Google Scholar]
- 50. Natorska J, Wypasek E, Grudzien G, et al. Does diabetes accelerate the progression of aortic stenosis through enhanced inflammatory response within aortic valves? Inflammation. 2012;35:834‐840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Kopytek M, Zabczyk M, Mazur P, Undas A, Natorska J. Accumulation of advanced glycation end products (AGEs) is associated with the severity of aortic stenosis in patients with concomitant type 2 diabetes. Cardiovasc Diabetol. 2020;19:92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Kamalesh M, Ng C, El Masry H, Eckert G, Sawada S. Does diabetes accelerate progression of calcific aortic stenosis? Eur J Echocardiogr. 2009;10:723‐725. [DOI] [PubMed] [Google Scholar]
- 53. Larsson SC, Wallin A, Hakansson N, Stackelberg O, Back M, Wolk A. Type 1 and type 2 diabetes mellitus and incidence of seven cardiovascular diseases. Int J Cardiol. 2018;262:66‐70. [DOI] [PubMed] [Google Scholar]
- 54. Testuz A, Nguyen V, Mathieu T, et al. Influence of metabolic syndrome and diabetes on progression of calcific aortic valve stenosis. Int J Cardiol. 2017;244:248‐253. [DOI] [PubMed] [Google Scholar]
- 55. Manduteanu I, Voinea M, Serban G, Simionescu M. High glucose induces enhanced monocyte adhesion to valvular endothelial cells via a mechanism involving ICAM‐1, VCAM‐1 and CD18. Endothelium. 1999;6:315‐324. [DOI] [PubMed] [Google Scholar]
- 56. Kovacic JC, Dimmeler S, Harvey RP, et al. Endothelial to mesenchymal transition in cardiovascular disease: JACC state‐of‐the‐art review. J Am Coll Cardiol. 2019;73:190‐209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Popov D. Endothelial cell dysfunction in hyperglycemia: Phenotypic change, intracellular signaling modification, ultrastructural alteration, and potential clinical outcomes. Inter J Diabetes Mellit. 2010;2:189‐195. [Google Scholar]
- 58. Yu CH, Suriguga GM, Liu WJ, Cui NX, Wang Y. Du X and Yi ZC. High glucose induced endothelial to mesenchymal transition in human umbilical vein endothelial cell. Exp Mol Pathol. 2017;102:377‐383. [DOI] [PubMed] [Google Scholar]
- 59. Yoshimatsu Y, Watabe T. Roles of TGF‐beta signals in endothelial‐mesenchymal transition during cardiac fibrosis. Int J Inflam. 2011;2011:724080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Mahler GJ, Farrar EJ, Butcher JT. Inflammatory cytokines promote mesenchymal transformation in embryonic and adult valve endothelial cells. Arterioscler Thromb Vasc Biol. 2013;33:121‐130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Ma X, Zhao D, Yuan P, et al. Endothelial‐to‐mesenchymal transition in calcific aortic valve disease. Acta Cardiol Sin. 2020;36:183‐194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Zeisberg EM, Potenta SE, Sugimoto H, Zeisberg M, Kalluri R. Fibroblasts in kidney fibrosis emerge via endothelial‐to‐mesenchymal transition. J Am Soc Nephrol. 2008;19:2282‐2287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Yuan C, Ni L, Zhang C, Xia H, Wu X. Ephrin B2 mediates high glucose induced endothelial‐to‐mesenchymal transition in human aortic endothelial cells. Cardiovasc Diagn Ther. 2020;10:778‐785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Vadana M, Cecoltan S, Ciortan L, et al. Molecular mechanisms involved in high glucose‐induced valve calcification in a 3D valve model with human valvular cells. J Cell Mol Med. 2020;24:6350‐6361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Ciortan L, Macarie RD, Cecoltan S, et al. Chronic high glucose concentration induces inflammatory and remodeling changes in valvular endothelial cells and valvular interstitial cells in a gelatin methacrylate 3D model of the human aortic valve. Polymers (Basel). 2020;12(12):2786. 10.3390/polym12122786 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Arevalos CA, Berg JM, Nguyen JM, Godfrey EL, Iriondo C, Grande‐Allen KJ. Valve interstitial cells act in a pericyte manner promoting angiogensis and invasion by valve endothelial cells. Ann Biomed Eng. 2016;44:2707‐2723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Gendron N, Rosa M, Blandinieres A, et al. Human aortic valve interstitial cells display proangiogenic properties during calcific aortic valve disease. Arterioscler Thromb Vasc Biol. 2021;41:415‐429. [DOI] [PubMed] [Google Scholar]
- 68. Xu K, Xie S, Huang Y, et al. Cell‐type transcriptome atlas of human aortic valves reveal cell heterogeneity and endothelial to mesenchymal transition involved in calcific aortic valve disease. Arterioscler Thromb Vasc Biol. 2020;40:2910‐2921. [DOI] [PubMed] [Google Scholar]
- 69. Scatena M, Jackson MF, Speer MY, Leaf EM, Wallingford MC, Giachelli CM. Increased calcific aortic valve disease in response to a diabetogenic, procalcific diet in the LDLr(‐/‐)ApoB(100/100) mouse model. Cardiovasc Pathol. 2018;34:28‐37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Seliga JOM, Raschkea S, Thoresene H, et al. Impact of hyperinsulinemia and hyperglycemia on valvular interstitial cells–a link between aortic heart valve degeneration and type 2 diabetes. BA‐Mol Basis Dis. 2019;1865:2526‐2537. [DOI] [PubMed] [Google Scholar]
- 71. Bruderer M, Richards RG, Alini M, Stoddart MJ. Role and regulation of RUNX2 in osteogenesis. Eur Cell Mater. 2014;28:269‐286. [DOI] [PubMed] [Google Scholar]
- 72. Cheek JD, Wirrig EE, Alfieri CM, James JF, Yutzey KE. Differential activation of valvulogenic, chondrogenic, and osteogenic pathways in mouse models of myxomatous and calcific aortic valve disease. J Mol Cell Cardiol. 2012;52:689‐700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Wirrig EEY KE. Developmental pathways in CAVD. Calcific Aortic Valve Disease; IntechOpen Limited: . 2013. [Google Scholar]
- 74. Nagy E, Eriksson P, Yousry M, et al. Valvular osteoclasts in calcification and aortic valve stenosis severity. Int J Cardiol. 2013;168:2264‐2271. [DOI] [PubMed] [Google Scholar]
- 75. Voicu G, Rebleanu D, Constantinescu CA, et al. Nano‐polyplexes mediated transfection of runx2‐shRNA mitigates the osteodifferentiation of human valvular interstitial cells. Pharmaceutics. 2020;12(6):507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Filippi A, Constantin A, Alexandru N, et al. Integrins alpha4beta1 and alphaVbeta3 are reduced in endothelial progenitor cells from diabetic dyslipidemic mice and may represent new targets for therapy in aortic valve disease. Cell Transplant. 2020;29:963689720946277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Abplanalp WT, Conklin DJ, Cantor JM, et al. Enhanced integrin alpha4beta1‐mediated adhesion contributes to a mobilization defect of endothelial progenitor cells in diabetes. Diabetes. 2016;65:3505‐3515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Colazzo F, Sarathchandra P, Smolenski RT, et al. Extracellular matrix production by adipose‐derived stem cells: implications for heart valve tissue engineering. Biomaterials. 2011;32:119‐127. [DOI] [PubMed] [Google Scholar]
- 79. Constantin A, Filippi A, Alexandru N, Nemecz M, Georgescu A. Extracellular vesicles from adipose tissue stem cells in diabetes and associated cardiovascular disease; pathobiological impact and therapeutic potential. Int J Mol Sci. 2020;21(24):9598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Schoen FJ. Morphology, clinicopathologic correlations, and mechanisms in heart valve health and disease. Cardiovasc Eng Technol. 2018;9:126‐140. [DOI] [PubMed] [Google Scholar]
- 81. Frasca A, Xue Y, Kossar AP, et al. Glycation and serum albumin infiltration contribute to the structural degeneration of bioprosthetic heart valves. JACC Basic Transl Sci. 2020;5:755‐766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Toshima T, Watanabe T, Narumi T, et al. Therapeutic inhibition of microRNA‐34a ameliorates aortic valve calcification via modulation of Notch1‐Runx2 signaling. Cardiovasc Res. 2020;116(5):983‐994. [DOI] [PubMed] [Google Scholar]
- 83. Simionescu DT, Chen J, Jaeggli M, Wang B, Liao J. Form follows function: advances in trilayered structure replication for aortic heart valve tissue engineering. J Healthc Eng. 2012;3:179‐202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Chow JP, Simionescu DT, Warner H, et al. Mitigation of diabetes‐related complications in implanted collagen and elastin scaffolds using matrix‐binding polyphenol. Biomaterials. 2013;34:685‐695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Bouchareb R, Guauque‐Olarte S, Snider J, et al. Proteomic architecture of valvular extracellular matrix: FNDC1 and MXRA5 are new biomarkers of aortic stenosis. JACC Basic Transl Sci. 2021;6:25‐39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Redfors B, Furer A, Lindman B, et al. Biomarkers in aortic stenosis: a systematic review. Structural Heart. 2017;1:18‐30. [Google Scholar]
- 87. Nader J, Metzinger L, Maitrias P, Caus T, Metzinger‐Le MV. Aortic valve calcification in the era of non‐coding RNAs: the revolution to come in aortic stenosis management? Noncoding RNA Res. 2020;5(2):41‐47. 10.1016/j.ncrna.2020.02.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Toshima T, Watanabe T, Narumi T, et al. Therapeutic inhibition of microRNA‐34a ameliorates aortic valve calcification via modulation of Notch1‐Runx2 signalling. Cardiovasc Res. 2020;116(5):983‐994. 10.1093/cvr/cvz210. PMID: 31393559. [DOI] [PubMed] [Google Scholar]
- 89. Harpa M, Branzaniuc K, Movileanu I, et al. Implantation of valvular collagen biomaterials seeded with autologous stem cells–intraoperative hemodynamic measurements in an animal model. Acta Medica Transilvanica. 2015;20:38‐39. [Google Scholar]
- 90. Harpa M, Movileanu I, Sierad L, et al. In vivo testing of xenogeneic acellular aortic valves seeded with stem cells. Rev Rom Med Lab. 2016;24:343‐346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Harpa MMMI, Sierad LN, Cotoi OS, et al. Simionescu D Pulmonary heart valve replacement using stabilized acellular xenogeneic scaffolds; effects of seeding with autologous stem cells. Rev Romana Med Lab. 2015;23:415‐429. [Google Scholar]
- 92. Chow JP, Simionescu DT, Carter AL, Simionescu A. Immunomodulatory effects of adipose tissue‐derived stem cells on elastin scaffold remodeling in diabetes. Tissue Eng Regen Med. 2016;13:701‐712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Atkins SK, Aikawa E. Valve under the microscope: shining a light on emerging technologies elucidating disease mechanisms. Heart. 2019;105:1610‐1611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Greene CL, Jaatinen KJ, Wang H, Koyano TK, Bilbao MS, Woo YJ. Transcriptional profiling of normal, stenotic, and regurgitant human aortic valves. Genes (Basel). 2020;11(7):789. 10.3390/genes11070789 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Krohn JB, Hutcheson JD, Martínez‐Martínez E, Aikawa E. Extracellular vesicles in cardiovascular calcification: expanding current paradigms. J Physiol. 2016;594(11):2895‐2903. 10.1113/JP271338. PMID: 26824781; PMCID: PMC4887674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Zhang BL, Bianco RW, Schoen FJ. Preclinical assessment of cardiac valve substitutes: current status and considerations for engineered tissue heart valves. Front Cardiovasc Med. 2019;7(6):72. 10.3389/fcvm.2019.00072. PMID: 31231661; PMCID: PMC6566127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Scatena M, Jackson MF, Speer MY, Leaf EM, Wallingford MC, Giachelli CM. Increased calcific aortic valve disease in response to a diabetogenic, procalcific diet in the LDLr ‐/‐ ApoB 100/100 mouse model. Cardiovasc Pathol. 2018;34:28‐37. 10.1016/j.carpath.2018.02.002. Epub 2018 Feb 15. PMID: 29539583; PMCID: PMC5940574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Zabirnyk A, Perez MDM, Blasco M, et al. A novel ex vivo model of aortic valve calcification. a preliminary report. Front Pharmacol. 2020;17(11): 10.3389/fphar.2020.568764. PMID: 33390945; PMCID: PMC7773652. 568764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Lee MH, Arcidiacono JA, Bilek AM, et al. Considerations for tissue‐engineered and regenerative medicine product development prior to clinical trials in the United States. Tissue Eng Part B Rev. 2010;16(1):41‐54. 10.1089/ten.TEB.2009.0449. PMID: 19728784. [DOI] [PubMed] [Google Scholar]
- 100. Yutzey KE, Demer LL, Body SC, et al. Calcific aortic valve disease: a consensus summary from the Alliance of Investigators on Calcific Aortic Valve Disease. Arterioscler Thromb Vasc Biol. 2014;34(11):2387‐2393. 10.1161/ATVBAHA.114.302523. Epub 2014 Sep 4. PMID: 25189570; PMCID: PMC4199903. [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
The dataset presented in this study is available from the corresponding author upon reasonable request.