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. Author manuscript; available in PMC: 2025 Aug 11.
Published in final edited form as: Am J Physiol Heart Circ Physiol. 2025 Jul 10;329(2):H572–H591. doi: 10.1152/ajpheart.00139.2025

Role of Membrane Microdomains in Cardiac Protection: Strategies for Diabetic Cardiomyopathy

Alice E Zemljic-Harpf 1,2, Jacqueline A Bonds 1,2,3, Juan Pablo Zuniga-Hertz 2, Hemal H Patel 1,2
PMCID: PMC12338596  NIHMSID: NIHMS2097097  PMID: 40637400

Abstract

Diabetic cardiomyopathy (DCM) is a cardiac disorder characterized by structural and functional impairments independent of coronary artery disease. Membrane microdomains, including lipid rafts and caveolae, play a crucial role in cardiac signaling, insulin receptor trafficking, and ion channel regulation. In diabetes, disrupting these microdomains leads to impaired insulin signaling, oxidative stress, and mitochondrial dysfunction, exacerbating cardiac pathology. This review explores the role of caveolins and lipid rafts in DCM and how their dysfunction contributes to disease progression. We highlight how therapeutics used to manage diabetic patients may impact microdomain integrity. Future research should focus on targeting membrane microdomains for novel treatments.

Keywords: Diabetic cardiomyopathy, membrane microdomains, lipid rafts, caveolae, insulin signaling, cardioprotection

I. Introduction

The Centers for Disease Control and Prevention reports that diabetes affects more than 38.4 million people in the U.S. (11.6% of the population), with healthcare expenses for treatment reaching $413 billion annually, including both direct medical costs and indirect costs such as disability, work loss, and premature mortality. In addition, there may be as many as 79 million prediabetic individuals. A large epidemiologic study found that a discharge diagnosis of diabetes was given in nearly 40% of cases, and this diagnosis did not discriminate by race or geographical location (1). Further, cardiovascular disease accounted for nearly 50% of all diabetic hospitalizations (1). Such statistics underscore a strong link between diabetes and heart disease and point to a growing epidemic that is approaching a tipping point. Therefore, it is essential to enhance our understanding of the mechanisms underlying diabetic cardiomyopathy (DCM) to improve therapies that could help prevent cardiac dysfunction associated with diabetes.

Currently, about 5.7 million people over the age of 20 years in the US are clinically diagnosed with heart failure (HF) (2, 3), and projections show that this number will increase 46% by 2030 (4). HF is defined as a “complex clinical syndrome that results from any structural or functional impairment of ventricular filling or ejection of blood” (5) and is classified into stages and functions by the ACCF/AHA (6) and the New York Heart Association (7). Several diseases in their final stages are associated with HF. One disease most prone to HF is metabolic syndrome, which includes insulin resistance, type 2 diabetes mellitus (T2DM), and associated cardiovascular disease, with approximately 50 million people suffering from this condition in the US alone (8). The harmonized definition of metabolic syndrome proposed by Alberti et al. in 2009 requires 3 out of 5 risk factors to be present to establish the diagnosis and include, 1) elevated waist circumference, 2) elevated triglycerides, 3) reduced HDL-C, 4) elevated blood pressure, and 5) elevated fasting glucose (9, 10).

Why is the diabetic heart dysfunctional?

DCM is characterized by impaired cardiac function and structure independent of vascular pathology. In animal models, diabetes contributes to both diastolic and systolic dysfunction. Diastolic impairment is marked by delayed relaxation and elevated left ventricular end-diastolic pressure, while systolic dysfunction manifests as alterations in heart rate, systolic blood pressure, and fractional shortening (11). Similar findings are also observed in humans (12). Structural changes occur in the diabetic heart, including fibrosis, myocyte loss, altered mitochondrial structure, and altered cardiac ultrastructure (1315). T2DM is a frequent comorbidity associated with HF with preserved ejection fraction (HFpEF), found in approximately 30–40% of T2DM patients; often myocardial dysfunction is present even in the absence of significant coronary artery disease or hypertension, and then called “diabetic cardiomyopathy” (1619). Multiple mechanisms are involved in the development of HFpEF in individuals with T2DM, including impaired cardiac substrate utilization and metabolism, altered insulin signaling leading to protein kinase C activation, cell-to-cell as well as cell-to-matrix connections, nitric oxide production from endothelial cells, mechanosensing, Ca2+ signaling, increased cytokine production (TGF-beta activation ), advanced glycated end product deposition, and impaired endothelial-to-cardiomyocyte crosstalk (18).

In all organs, small vessels (i.e., microvasculature and the arteriolar and capillary bed) are responsible for supplying tissues with oxygen and nutrients. Coronary microvascular disease (aka small vessel disease) is caused by the same risk factors that lead to atherosclerosis-induced cardiovascular disease, such as diabetes, obesity, hypertension, lack of physical activity, unhealthy diet, elevated levels of oxidized LDL-C, autoimmune disorders, and smoking (to name a few) (20, 21). Coronary microvascular disease is more prevalent in women and presents with unspecific symptoms such as chronic fatigue and exercise intolerance, and aggressive management of co-morbidities is a treatment goal (22).

Additional molecular mechanisms proposed for diabetes-induced heart disease include altered substrate supply and utilization, altered energy generation with mitochondrial dysfunction, altered ion channel function, myocyte apoptosis, cardiac insulin resistance, and renin-angiotensin system activation (23). Diabetic hearts show reduced responsiveness to protective strategies to minimize ischemia-reperfusion injury, suggesting substantial dysfunction in survival kinase signaling pathways (24). These results suggest that diabetic DCM is associated with multiple cellular changes, some of which may be linked by a shared regulatory mechanism that could serve as a potential therapeutic target. The reduced insulin sensitivity associated with T2DM is primarily based on impaired function or insulin receptor (IR) signaling resulting from hyperglycemia.

II. Membrane Microdomains and Signaling: Caveolae and Caveolins

An important aspect of cardiac signaling is the proper localization of receptors and integrated effectors in the membrane. Not all membrane regions are created equal, as some contain specialized regions with specific lipid and protein compositions that provide distinct structural and functional properties. These regions are called membrane microdomains, and they are critical for numerous cellular processes such as signaling, trafficking, and membrane organization.

Membrane microdomains that are enriched in cholesterol, (glycol)sphingolipids, and saturated long-chain glycolipids are called “lipid rafts”. Microdomains are not only present in the plasma membrane but also found in the endoplasmic reticulum/Golgi, and nuclear, lysosomal, and mitochondrial membranes (2529). The organization of lipid rafts in vivo is controlled by cholesterol-binding proteins, which include three caveolins, four stomatins, two flotillins, and podocin (only expressed in kidney podocytes) (30, 31). Given the importance of caveolin in dynamically regulating plasma membranes in disease, this review will focus on caveolin-containing microdomains.

Identified in the 1950s by electron microscopy, caveolae appear as morphologically identifiable invaginations of the plasma membrane (32) of most differentiated cell types, including myocytes, endothelial cells, and adipocytes (33). Interestingly, these are the main cell types involved in glucose regulation. Caveolae expand the cell surface area and play a crucial role in macromolecular transport, preserving plasma membrane integrity, facilitating vesicular trafficking, mediating signal transduction, and regulating mechanotransduction (34). In mammals, caveolae comprise three transmembrane proteins: caveolin-1 (Cav-1), caveolin-2 (Cav-2), and caveolin-3 (Cav-3). Caveolins, act as scaffolds to concentrate lipids (cholesterol and glycosphingolipids) (35), signaling proteins (heterotrimeric G-proteins, H-Ras, nitric oxide synthase (NOS), epidermal growth factor receptor, protein kinases, and Src-like kinases) (36), and structural proteins (37) within caveolae. All three caveolin knockout (KO) mice have cardiovascular phenotypes, suggesting caveolins are critical for the regulation and maintenance of signaling events in the cardiovascular system. However, Cav-3 is specifically required for caveolae formation in cardiac, skeletal, and certain smooth muscles (38). Cav-3 deficiency results in muscle degeneration, heart failure, and increased adiposity (39). Caveolins have a crucial role in insulin signaling, localization of certain glucose transporters, and lipidosis in DM (40, 41). Caveolae and caveolins help safeguard the heart against ischemia-reperfusion injury, with insulin signaling – specifically Akt activation and GLUT regulation–playing a crucial role in this protective mechanism (42, 43). Cardiomyocyte-specific overexpression of Cav-3 (Cav-3 OE) protects from pressure-overload-induced heart failure (44).

Cav-3 KO mice have various deleterious features, including muscle degeneration (45), insulin resistance (46), and progressive cardiomyopathy (39). Cav-1 knockdown in adipocytes results in loss of insulin receptor signaling due to decreased insulin receptor and glucose transporter (GLUT4) expression (47). In H9C2 cardiomyoblasts, Cav-1 knockdown inhibits IGF signaling (48), as well as insulin signaling coupled to Akt and glucose transport (49). Cav-3, on the other hand, is a positive regulator of insulin signaling (50). Gene transfer of caveolin to the liver improves glucose metabolism in diabetic mice (51). Cav-3 OE in cardiac myocytes increases Akt phosphorylation, which helps protect the heart from ischemic injuries and high blood pressure-induced mechanical stress (42). Resveratrol recruits GLUT4 to caveolae and increases Akt signaling in Type I DM (52, 53). In addition, caveolae contain a host of signaling molecules, and alterations in the regulation of Ca2+ storage and influx may limit diabetic cardiomyopathy (54).

Signaling pathways facilitated by membrane microdomains

The Singer-Nicolson fluid-mosaic membrane-type model was proposed in 1972 (55), but the view of plasma membranes has evolved since then (56). In 2012, Kusumi et al. proposed a three-tier model separating the actin cytoskeleton (40–300 nM), from lipid rafts (2–20 nm), and dynamic protein domains (3–20 nm) (26). Plasma membranes constantly change their structure, control biological functions, and are hubs for “outside-in” and “inside-out” signaling functions in endothelial cells, immune cells, fibroblasts, smooth muscle, and striated cardiac myocytes. Structural changes are hard to correlate to protein level changes (i.e., expression of caveolins) as these may increase or decrease with disease; however, biochemical approaches to assess caveolar/lipid raft microdomain content through measurement of cholesterol in a density gradient or use of electron microscopy (36) to determine membrane ultrastructure could be utilized in disease settings given tissue samples are available. Microdomains in all these cell-types are involved in the development of DCM. Plasma membrane proteins such as the large family of G-protein coupled receptors (GPCRs), Src family-protein kinases, and mitogen-activated protein kinases (MAPK) are associated with caveolar membrane invaginations (caveolae) containing Cav-1, -2, and/or -3, or certain membrane proteins and receptors, such as insulin-like growth factor-1 (IGF-1), aquaporin-1, Thy-1, and N-cadherin – a glycosylphosphatidylinositol-anchored membrane protein and glycoprotein – are uniquely associated with non-caveolar lipid microdomains (57).

Membrane lipid raft-specific cell signaling in the context of DCM (58) include 1) the insulin receptor (IR) (59), 2) GPCRs, 3) endothelial nitric oxide synthase (eNOS) and NO (60), 4) calcium compartmentalization within the endoplasmic reticulum (ER), the sarcoplasmic reticulum (SR) in muscle and endothelial cells, as well as within mitochondria (6166), 5) cellular communication and mechano-sensing (integrins, gap junctions, tight junctions) (67) and 6) oxidative stress/inflammation (68). We will discuss microdomain-related signaling pathways that are relevant in cardiac cell-types affected by T2DM and will review cell-specific pathway alterations.

Insulin Signaling in Membrane Microdomains

Caveolae are enriched in endothelial cells, adipocytes, muscle cells, and fibroblasts, contain caveolins as structural components, and act as hubs for numerous essential receptors involved in various critical functions. One such receptor localized to caveolae is the insulin receptor 1a (Figure 1A), which binds insulin and transports it to target organs such as the heart, skeletal muscle, and brain and is a key regulator of cell proliferation, differentiation, growth processes, and glucose homeostasis (6973). The cell membrane is impermeable to glucose and relies on glucose transporters. Three classes of eukaryotic sugar transporters have been identified, including glucose transporters (GLUT), sodium-glucose symporters (SGLTs), and sugars will eventually be exported transporters (SWEETs) (74). Since the insulin receptor is enriched in caveolae, insulin-stimulated glucose homeostasis is critically linked to membrane microdomains/lipid rafts.

Figure 1: Caveolae-mediated insulin transport for insulin receptor-stimulated glucose homeostasis.

Figure 1:

A schematic representation illustrating the caveolae-enriched insulin receptor complex and the role of caveolae-mediated insulin transport, and PI3K-Akt-dependent GLUT4 vesicle translocation. (A) The insulin receptor complex consists of transmembrane receptors that bind circulating insulin, initiating downstream signaling cascades involving the phosphorylation of the insulin receptor substrate (IRS), the recruitment of phosphoinositide 3-kinase (PI3K), leading to Akt phosphorylation and PI3K-Akt-dependent GLUT4 storage vesicle translocation from the cytosol to the cell membrane. Membrane-bound GLUT4 increases cellular glucose uptake for glucose homeostasis and cellular metabolism. (B) In endothelial cells, particularly within the cardiac microvasculature (Bi) and the blood-brain barrier (Bii), caveolae play a crucial role in insulin transcytosis. This specialized transport mechanism facilitates the regulated movement of insulin from the bloodstream into underlying tissues, ensuring proper metabolic and neurovascular function. Endothelial dysfunction disrupts in this process and has been implicated in cardiovascular disease, neurodegenerative diseases, metabolic disorders, and insulin resistance, highlighting the significance of endothelial insulin transport in systemic health. (C)Transmission electron microscopic scan of murine cardiac tissue showing the proximity of capillaries, composed of an endothelial cell monolayer, and cardiac myocytes (scale 2 μm). (D) Endothelial cell (red box) and cardiomyocyte (blue box) caveolae are shown in a higher magnification of the outlined area from Fig. 1C (scale 500 nm).

The skeletal muscle is the primary driver of glycemic control and plays a crucial role in insulin-stimulated glucose utilization (75). Skeletal and cardiac muscle differ in metabolic substrate utilization. In contrast, skeletal muscle relies on glucose, the primary substrate of the cardiac muscle is free fatty acids, but under ischemic conditions, the heart changes its substrate utilization (76, 77). Insulin binds to the insulin receptor and triggers the insulin signals through the insulin receptor substrate (IRS)-2 via autophosphorylation, leading to a recruitment of phosphoinositide 3-kinase (PI3K), ultimately promoting Akt activation that leads to the translocation of GLUT4 vesicle from to intracellular storage sites to the plasma membrane (Figure 1A). Insulin travels from the pancreas through the vascular tree and binds to insulin receptors on endothelial cells within the capillary bed. After transcellular transport, insulin can bind to insulin receptors at the end organ (e.g., cardiac myocytes, neurons, etc.) (Figure 1B). The monolayer of cardiac endothelial cells is responsible for delivering insulin and other nutrients to cardiac myocytes. Ultrastructural analysis shows that caveolae in endothelial cells and cardiac myocytes are in close proximity (Figure 1C, D). Because endothelial cell dysfunction is a hallmark of impaired glycemic control during T2DM, intense research to understand and restore insulin signaling is currently underway.

Cav-1 null mice fed a high-fat diet developed hyperinsulinemia, and insulin tolerance tests in young Cav-1 null mice on a normal diet showed significantly reduced insulin sensitivity compared to wild-type controls (78). Cav-1 plays an integral role in localizing insulin receptors and some of its downstream effector proteins within caveolae, thereby facilitating their signaling. This is followed by internalization of the IR, which is then brought back to the membrane surface, a mechanism that circumvents clathrin-mediated receptor desensitization (79). Another study explored the expression of Cav-3 in skeletal muscle and its role in regulating insulin signaling, glucose metabolism, and homeostasis (6973). The authors found that Cav-3 deficiency decreased insulin receptor stability, suggesting it prevents insulin receptor degradation. Haddad et al. reviewed caveolin’s role in insulin secretion, signaling, and the development of insulin resistance (80).

GPCR-related Signaling in Membrane Microdomains

Beta-adrenergic receptors (βARs) are heptahelical GPCRs that are activated by norepinephrine and epinephrine as part of the sympathoadrenal response system in the heart. To fully grasp GPCR signaling, it is essential to account for the receptors’ subcellular distribution and the downstream signaling components they engage with (8184). The localization of β1ARs and β2ARs vary within cardiac myocytes (85, 86): β1ARs are widely found within the sarcolemma while β2ARs are predominantly localized to caveolar microdomains (subsets of membrane/lipid rafts). The βAR subtypes present in cardiac myocytes exhibit distinct signaling characteristics. Activating β1AR triggers ionotropic and chronotropic effects by engaging global G stimulatory (Gs) coupling. This, in turn, stimulates adenylyl cyclase (primarily the AC5 and AC6 isoforms in the heart), leading to the activation of protein kinase A (PKA), Epac, L-type calcium channels, and various downstream effectors (8791). In contrast, β2AR interact with both stimulatory (Gs) and inhibitory (Gi) pathways. When β2AR are confined to caveolae, they initially produce brief PKA-dependent ionotropic effects near L-type calcium channels. This is followed by a reduction in contraction, driven by the sequential activation of Gs and Gi proteins (91) (Gi proteins are enriched in caveolae (90)). The distinct localization of βAR subtypes influence cell death responses in heart failure: β1AR stimulation may trigger myocyte apoptosis, whereas β2AR activation can exert an anti-apoptotic effect via a Gi-, phosphoinositide 3-kinase (PI3K)-, Akt-dependent pathway (92, 93).

β2AR situated within caveolae are linked to transverse (T)-tubules, where they generate localized cAMP signals in cardiac myocytes (86, 94). T-tubules are enriched in cholesterol and show high Cav-3 protein abundance (95). The deterioration of T-tubule structure is believed to contribute to the advancement of HF, alongside changes in the subcellular localization of βARs and their related signaling elements (96). With the progression of HF, the confinement of β2ARs within T-tubules can become disrupted, leading to their redistribution onto the myocyte plasma membrane, where β1AR is the dominant subtype. This relocation enables β2ARs to produce a widespread cAMP signal like that generated by β1AR activation, further aggravating myocyte dysfunction (94). It is of note that the altered distribution of the βARs in heart failure can be replicated by chemically disrupting the T-tubule/caveolae microenvironment (94).

Clinical studies and animal models indicate that α1A-adrenergic receptors (α1A-AR) play a role in both the growth of cardiomyocytes and pathological hypertrophy. In conditions with an overwhelming increase in pressure, activation of α1A-AR may provide protective, pro-survival effects thereby helping to prevent the progression of HF (97). A key component of cardiomyocyte function is the presence of Kv4 channels which is a type of voltage-gated potassium channel localized within caveolae-containing membrane lipid rafts in both the heart and brain (98). In a study that investigated how the heart responds to increased physical demands (like those seen in T2D), it was found that the activation of the α1A-AR led to the phosphorylation of Kv4 channels located within caveolae, which reduced the transient outward potassium current (98, 99). While this reduction resulted in more significant calcium influx and stronger contraction, an excessive decrease in the transient outward potassium current can prolong the action potential and trigger cardiac arrhythmias. It is important to note that there is another population of voltage-gated potassium channels (Kv4.3) in the same cell that are found in non-caveolar membrane microdomains which are not responsive to α1A-AR activity (99), suggesting that two different population of the same channel complex can exist in the same cell (i.e., caveolar and non-caveolar localized). Therefore, positioning signaling components within caveolae-containing microdomains is essential for proper cardiac function. A study examining the impact of the α1A-AR agonist A61603 on cardiac myocyte survival found that it activated ERK signaling, protecting the cells from death caused by doxorubicin-induced oxidative stress without affecting blood pressure (100). ERK, a member of the mitogen-activated protein kinase (MAPK) family, requires caveolin expression for its activation. These findings suggest that α1A-AR agonists can improve cardiac function by regulating signaling pathways dependent on caveolae and caveolins.

It is interesting to note that while α1-ARs are localized to membrane microdomains, there is some evidence to suggest that a large percentage of functional α1-ARs localize to the nuclear membrane of cardiomyocytes (101). Excitingly, the nuclear membrane also consists of membrane microdomains with specific lipid composition which essentially serves the same role as in the membrane – to act as platforms for protein organization and signaling (102). While further investigation is necessary to determine the prevalence of caveolae in these nuclear lipid rafts, there is evidence to suggest the presence of caveolins within these nuclear membrane microdomains, which regulate gene expression (103). For instance, Jeong et al. described the role of Cav-2 in mediating the nuclear response to insulin, demonstrating its localization to the inner nuclear membrane, where it inhibited heterochromatinization and activated transcription factors Elk-1 and STAT3 (104). These observations highlight caveolin’s role in insulin signaling and nuclear gene regulation.

Interaction between microdomains and Ca2+ signaling and ion channel regulation

Cardiac excitation-contraction coupling is triggered by Ca2+ influx through L-type voltage-dependent Ca2+ channel (L-VDCC) during the upstroke of an action potential. The primary L-VDCC in the heart is Cav1.2 (105), which is bound to Cav-3 (27). Intracellular calcium compartmentalization, which safeguards against Ca2+ overload, is disrupted in T2DM. Consequently, cardioprotective mechanisms are tightly connected to ion channel regulation.

Cav-3 OE protects from pathological cardiac hypertrophy (44). During ischemia-reperfusion (I/R) injury, membrane microdomains are crucial in limiting calcium overload, a primary contributor to cellular damage. Gong et al. demonstrated that Cav-3 protects diabetic hearts against acute myocardial infarction and reperfusion injury (106). This likely occurs via the clustering of Cav1.2 channels within caveolae, which allows for their regulation by local kinases, such as protein kinase A (PKA) and protein kinase C (PKC). These kinases modulate the activity of Cav1.2 channels in response to neurohormonal signals (107). This tight regulation helps to prevent excessive calcium influx during reperfusion, reducing the risk of Ca2+-induced apoptosis and necrosis.

Furthermore, evidence suggests that caveolae stabilize the function of potassium channels, such as the ATP-sensitive K+ (KATP) channels, during metabolic stress. Mitochondrial and sarcolemmal KATP channels play a differential role during ischemia-reperfusion injury (108, 109). Activation of KATP channels is cardioprotective during ischemia by shortening the action potential and reducing calcium entry into the cell, thus conserving energy and preventing calcium overload (110). Cav-3 interacts with and regulates KATP channel activity, highlighting the role of membrane microdomains in modulating ion channel function during cardioprotective responses.

eNOS-related Signaling in Membrane Microdomains

In the cardiovascular system, endothelial nitric oxide synthase (eNOS) is the enzyme responsible for producing nitric oxide (NO). eNOS is localized to caveolae in endothelial cells and cardiac myocytes (111). On one hand, Cav-1 interacts with the eNOS domain, and this direct interaction sequesters and primarily inhibits basal eNOS activity, preventing its binding to calmodulin, thereby diminishing eNOS’s ability to produce NO (112). The same interaction may evoke agonist-induced stimulation of eNOS, allowing an increase of eNOS when needed, because of the enriched localization in caveolae, this activation response can be significant, and may result in an eNOS burst. This phenomenon is termed the “eNOS Cav-1 paradox” of contradictory ways Cav-1 inhibits and activates eNOS (113, 114). Additionally, eNOS and Cav are co-regulated because eNOS-derived NO promotes caveolae-mediated endocytosis, thereby maximizing the paracrine effects of NO (Figure 2) (115). High levels of NO are cytotoxic; therefore, tight regulation of eNOS activation exists besides the well-known calcium-triggered calmodulin-binding of eNOS.

Figure 2: Caveolae-associated eNOS signaling pathway mechanism in health and diabetes. Health Scenario.

Figure 2:

Caveolae behaves as a physical and biological signaling hub in the cardiomyocyte controlling NO-mediated signaling cascades through Cav-3 (in cardiomyocyte) as eNOS repressor. During the muscle fiber stretching, potential conformational changes in Cav3 transmembrane domain (TMD) and caveolin scaffolding domain (CSD) results in the release of eNOS. In addition, the transient increase in intracellular Ca2+ concentration (partially mediated by Cav1.2, also controlled by Cav-3) activates the Ca2+-Calmodulin complex, an allosteric competitor of Cav-3-eNOS complex, promoting eNOS dislocation and its subsequent activation. NO inhibits mitochondrial complex IV leading to a reduction in O2 consumption, oxidative phosphorylation, and ATP synthesis. In addition, NO inhibits Cav1.2 channel and attenuates b1-Adrenergic receptor-mediated Cav1.2 activation, reducing [Ca2+]I, resulting in a final effect of sarcomere relaxation. Diabetes Scenario 1. Diabetes impairs Cav-3 caveolar localization, altering caveolae ultrastructure, stability, and cholesterol and Cav3 content, impairing cardiomyocyte Cav-3-dependent signaling, like Cav1.2 inward Ca2+ currents modulation. Caveolae cholesterol content reduction increases molecular freedom degrees, triggering Cav-3 conformational changes that release eNOS, leaving it in a constant active state that will produce a persistent sarcomere relaxed state and poor contractility force, compromising the cardiac function. Diabetes Scenario 2. Diabetes results in Cav-3 localization shift from caveolae to non-caveolar cardiomyocyte membrane. Non-caveolar Cav-3 localization presents significant biophysical differences compared with caveolae, together with a different signaling molecules and receptors landscape. This condition may favor Cav-3-eNOS complexes, inhibiting NO signaling in the diabetic cardiomyocyte. In the absence of NO relaxation signal and impaired Cav-3-Integrin b1D mechanotransduction system, the sarcomere contraction force opposes the cardiomyocyte stretching, producing fiber damage (113, 114, 262265).

Caveolae play a significant role in regulating NO signaling, where physiological levels of NO induce smooth muscle relaxation (vasodilation), low levels of NO lead to smooth muscle contraction (vasoconstriction), and high levels of NO induce inflammation and cell death (116). The localization of eNOS within caveolae ensures that NO production is tightly regulated and needed in response to cardiac stress due to mechanical stretch, neurohormonal signaling, ischemia, or metabolic changes.

Pulmonary artery smooth muscle cells isolated from patients with idiopathic pulmonary arterial hypertension who underwent lung/heart transplantation showed increased Cav-1 protein expression and caveolae formation (117). In contrast, Cav-1 deficient mice that lack Cav-1 and Cav-2 expression develop dilated cardiomyopathy, pulmonary hypertension, right ventricular hypertrophy, and vasculopathies (118). It was also shown that Cav-1 regulates the production of bioactive NO, thereby regulating blood pressure variability in mice (119). In mice with Type 1 and Type 2 Diabetes, protein expression of Cav-1 was increased, and dose-dependent acetylcholine-induced vascular relaxation attenuated (120).

High levels of LDL cholesterol increased the inhibitory caveolin-eNOS complex formation in endothelial cells leading to reduced basal NO production (121). An independent study by Blair et al. showed that oxidized LDL, but not native LDL, or HDL, depleted cholesterol from caveolae from cholesterol, induced redistribution of eNOS, and caveolin from caveolae to internal membrane sites, and inhibited the ability of acetylcholine to activate the enzyme efficiently (122). Lipoproteins (e.g., oxidized LDL versus HDL) have potent effects on eNOS function in caveolae via actions in both membrane cholesterol homeostasis and enzyme activation (123125).

Studies show that individuals with T2DM present lower NO production levels than healthy individuals (126128). A recent review by Bahadoran et al. explores NO resistance in T2DM, highlighting the diminished vasodilatory response of NO in both macrovascular and microvascular systems (129). This impairment arises due to the suppression of NO activity, reduced sensitivity of soluble guanylate cyclase (SGC), and/or dysfunction within the cGMP-protein kinase G (PKG) signaling pathway. It is also postulated that NO production is pivotal during compromised exercise performance in subjects with T2DM (130). The exact mechanism of how T2DM (and/or obesity) affects caveolae and insulin resistance is still unclear.

Cell adhesions and membrane microdomains in the heart

In the continuously contacting heart, endothelial cells, fibroblasts, and myocytes are mechanically challenged. Thus, to survive in this environment cardiac cells rely on stable cell-to-matrix and cell-to-cell adhesions (Figure 3). Caveolin-containing lipid rafts are found at both adhesion sites.

Figure 3: Schematic visualization of cell-to-matrix and cell-to-cell junctions in cardiac myocytes:

Figure 3:

Dynamic crosstalk between the connective tissue interlacing cardiac myocytes and endothelial cells exists. Connective tissue between cardiomyocytes ensures proper cell anchorage. In cardiac myocytes cell-to-matrix adhesions, and cell-to-cell connections enable intricate signaling mechanisms that regulate cardiac contractility. Caveolae are critical for the localization of integrin, therefore organizing a multiprotein complex containing talin, vinculin, and α-actinin which link the sarcolemma to the actin cytoskeleton and the sarcomere. Integrin-mediated cell adhesions influence cardiac myocyte function by regulating contractility and mechanical stiffness through outside-in and inside-out signaling. F-Actin, a key component of the myocyte cytoskeleton, plays a role in mechanotransduction and cellular signaling, while desmin, an intermediate filament protein in cardiac muscle, supports mitochondrial positioning and structural integrity. These cytoskeletal elements help maintain cellular architecture and facilitate efficient force transmission between myocytes, the connective tissue, and endothelial cells. This bidirectional communication is essential for maintaining cardiac efficiency and for adapting to physiological and pathological conditions, including ischemia, pressure-overload, and metabolic challenges. Mitochondria, essential for the high ATP demand in cardiac myocytes, are tightly regulated by endothelial-derived signals to maintain energy balance and prevent oxidative stress. A dysfunctional endothelial-to-matrix-to-cardiomyocyte communication can lead to mitochondrial dysregulation, contributing to metabolic inefficiency and cardiac dysfunction. Physiological cardiomyocyte-to-cardiomyocyte adhesion sites contain gap junctions, adheres junctions, and desmosomes to ensure the mechanical anchorage between cells and electrical connectivity. Understanding how these adhesion sites are altered during diabetes provides valuable insights into the molecular mechanisms leading to the development of diabetic cardiomyopathy to discover novel therapeutic targets.

Focal adhesions are the most abundant cell-to-matrix junctions that connect the extracellular matrix (ECM) through integrins, talin, vinculin, and alpha-actinin to the actin cytoskeleton. Integrins are a large family of transmembrane proteins that form heterodimers, consisting of both α and β subunits. These integrins function in cell-to-ECM and cell-to-cell junctions and connect the ECM to the cytoskeleton to participate in inside-out and outside-in mechanosignaling (131, 132). Integrins are mechanosensors that convert mechanical stimuli to intracellular signaling cascades (133).

Lack of β1 integrin, talin, or vinculin expression in all murine tissues (global knockout) results in early embryonic lethality (134137). Mice with cardiomyocyte-specific knockout of β1-integrin show disturbed glucose metabolism, cardiac fibrosis, and heart failure (138). Cardiomyocyte-specific deletion of talin1 and talin2 leads to dilated cardiomyopathy (139). Global hemizygous vinculin knockout mice were intolerant to cardiac pressure-overload-induced hypertrophy. Cardiac-specific vinculin knockout mice presented arrhythmias, ultrastructural disturbed cell-to-cell contact sites, and rapid heart failure development, leading to premature death at an early age (140). Mutations in the vinculin/metavinculin gene are found in families with inherited cardiomyopathy (141). These animal studies suggest that integrin-containing cell-to-matrix junctions are crucial anchorage points in cardiac myocytes.

Multiple mutations in the Cav3 gene were identified in human disease, spanning from distal skeletal myopathy (weakness), to rippling (hypercontractile) muscle disease, and cardiac arrhythmias (Long-QT-syndromes) (142147). Cav-3 OE mice were protected from cardiac ischemia and pressure-overload-induced cardiac hypertrophy (42, 44). Integrin-containing focal adhesions and caveolin-containing caveolae participate in mechanotransduction (Figure 4) (148). Israeli-Rosenberg et al. showed that β1-integrin and Cav-3 colocalize in cardiac myocytes, and acute mechanical stress by pressure overload increased complex formation between active β1-integrin and Cav-3 in vivo (149). Romanelli et al. recently showed that diabetic cardiomyocytes increased stiffness and that these changes were due to intracellular alterations of the spatial arrangement of proteins involved in cell-to-cell and cell-to-matrix communication (150).

Figure 4: Cardiomyocyte integrin β1D-Cav-3 mechanotransduction in health and Diabetes.

Figure 4:

Integrin β1D-Cav-3 mechanosensing during health. Cav-3 modulates Integrin b1D function and together transduce mechanical signals from the cardiomyocyte cellular membrane (anchored through laminin to the extracellular matrix, ECM) to the sarcomere. Intermediary proteins like Pax, Kindlin2, Integrin-linked Kinase (ILK), Talin, Vcl, and b-parvin, Integrin β1D-Cav3 complex transmits the force to the sarcomere through α-actin and F-actin, synchronizing the mechanical stress of the fiber with the sarcomere contraction/relaxation. In addition, the Integrin b1D-Cav3 complex promote the activation of growth, hypertrophy, survival, and proliferation signaling pathways. Integrin β1D-Cav-3 mechanosensing during diabetes. The impairment of Cav-3 expression and membrane redistribution (from caveolar to non-caveolar membrane) during diabetes impairs its modulatory effect over Integrin β1D, compromising the appropriate mechanotransduction that can lead to cardiomyocyte damage. Since Integrin β1D-Cav-3 activates cell survival and proliferative pathways, the disruption of Cav-3 as a signaling hub during diabetes can result in cardiomyocyte damage, lost, and replacement with fibrous tissue, reducing the heart muscle efficiency during diabetic cardiomyopathy (149, 266270).

Endothelial cells exposed to shear stress showed that caveolae play a critical role in differentially activating extracellular signal-regulated kinase (ERK) but not c-Jun NH2-terminal kinase (JNK) (151). Shear stress-induced β1-integrin translocation to caveolae and caveolin was found to participate in β1- integrin-mediated signaling (152). It was further shown that integrin-linked kinase (ILK) controls microtubule dynamics required for membrane targeting of proteins and the formation of plasma membrane caveolae (153). It was shown that integrins prevent ERK1/2, PI3K, and Rac-dependent signaling by preventing Cav-1-dependent endocytosis and caveolar internalization (154). Caveolae were shown to be important mechanotransduction sites leading to the activation of ERK1/2 MAP kinases (155). The role of caveolins and integrin in endothelial cell dysfunction is multifaceted and was recently reviewed by Aman et al. (156).

In fibroblasts, caveolae play a crucial role in integrin activation and recycling (157). Yeh et al. highlight the critical roles of Cav-1 and β1 integrin-mediated mechanotransduction, suggesting that Cav-1-induced lipid raft expression may be the rate-limiting step as its expression and phosphorylation is what regulates protein stability of beta1 integrin-mediated focal adhesions (158).

Cell-to-cell contact sites in cardiac myocytes consist of gap junctions (GJ), adherens junctions, and desmosomes. Connexins (Cx) form GJ, electrically couple cardiomyocytes by allowing rapid conductance of action potentials, permit intercellular transport of ions/active molecules, and GJ are altered in heart failure (159). In the Golgi apparatus, the C-terminal tail of Cx43 binds to caveolin, both proteins are transported to the plasma membrane, and at the plasma membrane, caveolin dissociates from Cx43 before GJ assembly (160). During HF, Cx43 re-localizes from cell-to-cell junctions to the lateral cell border, and Cx43 protein levels are reduced (161). Lateralized Cx43 was found to be associated with lipid rafts, and it was suggested that this Cx43 pool will undergo autophagic degradation (162). Lipopolysaccharide treatment of astrocytes inhibited Cx43 GJ communication and induced downregulation of Cav-3 via a TLR4-mediated signaling pathway (163). In cardiac myocytes it was shown that Cav-3 directly interacts with Cx43, implicating that Cav-3 plays a role in the functional regulation of GJ (164). Hyperglycemia-induced PKC-activation reduced Cav-3 protein expression, attenuated Akt/eNOS signaling, and induced diastolic dysfunction (165). Since hyperglycemia, oxidative stress, and inflammation alter membrane microdomains, targeting signaling events at cell-to-matrix and cell-to-cell adhesion sites may offer novel treatment options for the diabetic heart.

III. Impact of Diabetes on Membrane Microdomains

Obesity, Oxidative Stress, and Inflammation

Obesity is a key risk factor for the development of insulin resistance and T2DM. So far, existing policies have failed to address the obesity epidemic, and the forecasted trends will increase disease burden and economic costs (166). Metabolic syndrome includes a group of clinical conditions, such as excess body fat, high blood glucose, high blood pressure, and abnormal cholesterol and triglyceride levels that increase the risk of cardiovascular disease. Abdominal obesity is the most frequently observed parameter leading to metabolic syndrome (167, 168).

Caveolae increase the surface area of cells and participate in multiple important cellular functions, including endocytosis, transcytosis, lipid homeostasis, membrane integrity, mechanical transduction, and signal transduction (169). Despite being hyperphagic and having a normal capacity to absorb dietary fat, Cav-1 knockout mice are resistant to diet-induced obesity and present normal insulin, serum glucose, and cholesterol levels but have severely elevated triglycerides and free fatty acids (170). Cav-1 knockout mice revealed a 90% decrease of detectable insulin receptor levels in adipose tissue; therefore, Cav-1 is considered a molecular chaperon stabilizing the insulin receptor (78).

Catalan et al. showed that Cav-1 mRNA expression is increased in visceral and subcutaneous fat tissues of obese normoglycemic and T2DM patients when compared to lean controls (171). Cav-1 expression levels in adipose tissue were positively correlated to BMI and levels of the inflammatory marks sialic acid, fibrinogen, and monocyte chemoattractant protein (171).

Among the many physiological disruptions caused by obesity, a notable one how adipose tissue responds to overnutrition by mounting an immune response (extensively reviewed by Kawai et al.) (172). Obesity has been shown to cause changes in white adipose tissue, increasing inflamed and dysfunctional adipocytes. This, in turn, leads to higher secretion of pro-inflammatory cytokines that can interfere with the normal functions of other organs, particularly the heart (172). Hyperglycemia, which can result from obesity, promotes protein glycation, resulting in altered intracellular signaling, disruptions in gene expression, and increased release of pro-inflammatory molecules and free radicals (173, 174). Glycation, associated with hyperinsulinemia and dyslipidemia, enhances inflammation by promoting the release of pro-inflammatory cytokines, including IL-6 and TNFα, while suppressing the generation of anti-inflammatory mediators like IL-10 (175, 176). This evidence strongly implicates diabetes as a key driver of chronic inflammation, which plays a direct role in the development of vascular and neurovascular diseases affecting cardiac and neural tissues. Notably, prolonged or intensified systemic inflammation triggers microglial activation in the brain (177). Upon activation, microglia-induced inflammation tends to persist for prolonged durations. Studies indicate that, although peripheral inflammation may resolve rapidly, microgliosis can take weeks or months to diminish completely, potentially causing long-term alterations in the neural environment (178).

Inflammation contributes to heightened oxidative stress by promoting excessive reactive oxygen species (ROS) production while weakening antioxidant defenses, resulting in persistently elevated ROS levels (179). While ROS play a crucial role in regulating cell signaling and communication, chronic production can lead to the disassembly, dysfunction, and fragmentation of proteins, lipids, and DNA (180). The buildup of dysfunctional or significantly altered biomolecules naturally disrupts cellular function. When this occurs in endothelial cells, it leads to impaired function of blood vessels and alters its interaction with many other cell types – in particular, cardiomyocytes.

Chronic inflammation and the progression of oxidative stress are inherently linked to the pathogenesis of diabetes (181). This condition can be alleviated with therapies that restore or stabilize caveolae and Cav-3 expression in cardiomyocytes. Cav-3 has been shown to localize to the mitochondria of cardiomyocytes and may suppress mitochondrial-derived reactive oxygen species (182). Caveolin expression in membrane lipid rafts orchestrates a host of physiological and pathological stimuli, including insulin secretion, insulin signaling, insulin resistance, oxidative stress, and diabetic complications (80). Since obesity increases inflammatory cytokine expression, adipocyte-specific Cav-1 protein expression disturbs eNOS signaling, thereby elevating the risk of arterial hypertension. Chronic inflammation and oxidative stress, either directly or via their impact on the vasculature, play a significant role in diabetes-related complications such as retinopathy, nephropathy, and cardio- and neuropathies. Stabilizing caveolae and caveolins in these tissues could, therefore, provide substantial therapeutic benefits.

Diabetes and Endothelial Dysfunction

Oxidative stress and inflammation present significant challenges to endothelial function. Reactive species modify electron-rich thiol residues, resulting in nonspecific protein alterations. These species can also infiltrate the cytosol and organelles through passive membrane diffusion or active transport. Among the many affected targets, phosphatase and tensin homolog (PTEN) and Cav-1 stand out due to their critical roles in cell signaling regulation. Caveolae are essential for macromolecule transcytosis across the endothelium, a process mediated by Cav-1’s direct interaction with proteins that support endothelial health and function. Notably, a decrease in Cav-1 expression disrupts the regulation of eNOS, leading to its uncoupling and contributing to increased oxidative stress (183). A dysfunctional endothelium leads to an inability to properly maintain systemic blood pressure (184), deficits in angiogenesis (185), compromised wound healing (186), accelerates atherosclerosis (187), and disruption in barrier integrity (in both the heart and brain), which can lead to edema and vascular cuffing (187).

PTEN and Cav-1 are intricately linked, as the loss of PTEN function triggers Cav-1 degradation, and conversely, Cav-1 depletion affects PTEN stability. While the exact mechanism remains under investigation, oxidative stress is suspected to play a key role. The disruption of these essential signaling regulators in endothelial cells is thought to contribute to cardiovascular disease while also impairing their ability to support various tissues, including the neurovascular niche. This niche is particularly crucial for regulating the pace of neural stem and progenitor cell proliferation (188). Thus, disrupting the endothelial niche’s ability to maintain the homeostasis of partner cells may be associated with neuropathologies such as Alzheimer’s disease (AD) (189).

Type 3 Diabetes: The link between Insulin Resistance, Deficiency and Alzheimer’s disease

Several risk factors are linked to the development of AD, including insulin resistance and T2DM. Data from the Mayo Clinic Alzheimer’s Disease Registry shows that about 80% of AD patients also have T2DM or another disorder related to impaired glucose metabolism. This correlation suggests a potential mechanistic connection between these two debilitating diseases, although the exact nature of this link remains unclear. As a result, AD is hypothesized to represent an advanced stage of T2D, often referred to as Type 3 Diabetes (190). While not an officially recognized medical diagnosis, this occurs when neurons become unable to respond to insulin, a hormone vital for learning and memory. It has been observed that carrying a mutation in ApoE4 (one of the leading genetic causes of AD) causes impairments in insulin signaling because the insulin receptor (IR) cannot localize in the membrane and instead is stuck in the endosome (191).

Additionally, patients with T2D frequently experience vascular pathologies that restrict blood flow to the brain, which in turn increases the risk for neurodegenerative disorders (i.e., AD). Consequently, impairments in the endothelial niche’s capacity to regulate the homeostasis of associated cells may be connected to neurodegenerative disorders like AD (189). It was shown that Cav-1 improved T2DM-related cognitive decline and described that blocking of excessive mitochondrial fission together with stimulation of defective mitophagy might be the responsible mechanism (192, 193).

IV. Strategies Targeting Membrane Microdomains for Cardiac Protection

Tsuchiya et al. reviewed drug effects on membrane microdomains, including anesthetic agents, beta-blockers, and alpha-agonists (to mention a few) (194). We would like to update drug-microdomain interactions and further discuss the effects of SGLT2 inhibitors, GLP-1 agonists, and statins.

SGLT2 inhibitors for the prevention/treatment of diabetic cardiomyopathy

HFpEF is characterized by normal cardiac contractile function but reduced diastolic function (muscle relaxation) and often precedes HF with reduced contractile function (HFrEF) in T2DM patients. Since SGLT2 inhibitors (SGLT2i aka gliflozins) reduce the cardiovascular mortality and HF hospitalization in T2DM patients, they were recently approved to treat HFpEF and are currently the only HFpEF medication available (besides blood pressure and blood glucose control).

Reduced fibrosis is observed after SGLT2i (195, 196). In renal proximal tubule cells, SGLT1 and SGLT2 localized to lipid rafts via colocalization with Cav-1 (197). Cassis et al. demonstrated that in mice with protein-overload proteinuria, the SGLT2 inhibitor dapagliflozin effectively reduced proteinuria and glomerular damage while also improving podocyte function and preventing their loss. Additionally, the study revealed that mouse podocytes express SGLT2, with its expression increasing under conditions of protein overload. In vitro findings further confirmed that podocytes serve as direct targets of SGLT2 inhibition, offering protection against albumin-induced cytoskeletal remodeling (198). Locatelli et al. showed that empagliflozin normalized podocyte VEGF-A overexpression, reducing its paracrine signaling on endothelial Cav-1 and PV-1, which ultimately preserved glomerular endothelial function and permeability (199). How SGLT2i affects cardiomyocytes is still unclear, and the improved CV outcomes might also be attributed to beneficial SGLT2i effects on non-cardiac muscle cells (e.g., endothelial cells, fibroblasts, and immunomodulating cells). Further studies are needed to investigate SGLT2i’s effects on cardiac microdomains.

GLP-1 agonists for the treatment of obesity and HFpEF

Glucagon-like peptide-1 receptor (GLP-1) agonists were initially developed as anti-diabetic drugs, but due to their profound weight-loss effect they were soon repurposed to primarily treat obesity (200). It has been shown that GLP-1 is primarily located within membrane lipid rafts, regulated by membrane lipids, and directly binding to Cav-1 (201, 202). Recently, it has been shown that GLP-1 harbors a cholesterol-binding site in pancreatic beta-cells (203). The recent double-blind, placebo-controlled SUMMIT trial found that the GLP-1 agonist tirzepatide (Mounjaro® or Zepbound) lowered the risk of death from cardiovascular causes or worsening heart failure by 38% in patients with HFpEF and obesity (204). Cardiac MRI in a subset of patients found a clinically significant reduction in LV mass when compared to a placebo, and the mechanism behind this GLP-1 effect warrants further investigation.

Statin effects on glucose homeostasis

Lipids are crucial building blocks of plasma membranes (205). Besides temperature and fatty acid composition, cholesterol plays a major role in the maintenance of membrane fluidity (>cholesterol = > fluidity = elasticity) which is critical in the formation of membrane microdomains. Caveolin is linked to cholesterol transport and membrane integration (206).

Cardiovascular disease (CVD) increases with aging and is the leading cause of death worldwide. Sex differences exist in the onset of CVD. Men develop the disease earlier than women, but after menopause, women present a worsened CVD outcome (207). In the US, the absolute number of annual CVD deaths among females has exceeded that of males (208). Females with T2DM have an increased risk of CVD when compared to men with T2DM (209). Although approximately 80% of CVD could be prevented by early preventive measures, lifestyle modifications (to address obesity, physical inactivity, unhealthy diet, hypertension, hyperglycemia, hypercholesteremia, poor sleep, and smoking) are often unsuccessful (210). In both sexes, a common strategy to reduce CVD is the reduction of serum levels of low-density lipoprotein cholesterol (LDL-C). Therefore, statin drugs are widely used to reduce LDL-C for primary (211, 212) and secondary CVD prevention (213216). The American Heart Association (AHA) and the American College of Cardiology (ACC) regularly publish guidelines for the prevention and treatment of CVD, and a risk calculator was created to estimate the 10-year CVD risk (217). Predictors like sex, age, race, systolic and diastolic blood pressure, treatment for hypertension, smoking, diabetes, total cholesterol, HDL cholesterol, or body mass index (instead of lipid values) are included in this 10-year risk calculation (the ”ASCVD Risk Estimator Plus” can be downloaded for free from them AppStore). Diabetic patients have an increased 10-year CVD risk (218, 219), but newer studies show that individuals with T2DM may present profoundly different risk profiles (220). Statins are prescribed to diabetic individuals with a 10-year CVD risk score of 10% or higher, and lifestyle modifications are recommended.

Statins inhibit HMG-CoA reductase, which is the rate-limiting enzyme in the mevalonate pathway, responsible for the production of cholesterol, dolichol (N-linked glycosylation), ubiquinone (CoQ10), Heme A, cytochrome C, and protein isoprenylation (221, 222). Simultaneous inhibition of all mevalonate-originating pathways is responsible for pleiotropic statin effects through anti-inflammatory and anti-proliferative mechanisms (223). Given their impact on cholesterol synthesis, statins have the potential to modulate membrane microdomains. Despite demonstrated CV benefits, the FDA reports that statins can cause serious side effects, including statin-induced skeletal myopathy, memory loss, and increased blood glucose levels (224, 225). Laakso et al. recently reviewed the literature about the increased T2DM risk associated with statin use (226). With relevance to the role of membrane microdomains during diabetic cardiomyopathy we will briefly discuss three potential statin-affected molecular pathways including, 1) glucose uptake to skeletal muscle, 2) insulin secretion and/or signaling, and 3) mitochondrial function.

Statins and glucose uptake by GLUT4 in skeletal muscle

Within the body, skeletal muscle is the major site for glucose uptake and homeostasis. The glucose uptake into skeletal muscle cells is mediated through insulin-stimulated glucose uptake by the glucose transporter GLUT4, which cycles between intracellular storage sites and the plasma membrane where it is localized within caveolae (227, 228). In skeletal muscle cells and cardiomyocytes it was shown that lipophilic statins like atorvastatin or simvastatin, but not the hydrophilic pravastatin, reduced GLUT4 expression and induced insulin resistance, which was attributed to statin-induced inhibition of Akt, GSK3β, and the isoprenoid system (229233). In human skeletal-muscle primary myotubes, Grunwald et al. showed that statin administration reduced Akt phosphorylation, and that Cav3 (important for GLUT4 and IR function) was internalized from the plasma membrane to peri-nuclear sites (234). During maximal exercise performance, statin users switch to anaerobic metabolism sooner than non-statin users (235).

It was shown that simvastatin reduced cardiorespiratory fitness in overweight patients at risk of metabolic syndrome after a 12-week supervised exercise training program (236). Given the strong correlation between exercise, muscle mass, and glucose homeostasis, primary-prevention statin use in T2DM patients should be carefully considered, and the importance of body weight control and exercise-related lifestyle modification should be emphasized.

Statin effects on insulin secretion and β-cell function

While statins reduce serum cholesterol, they may increase the risk of new onset T2DM or worsen glycemic control (237, 238). Clinical studies showed that all statins, except pravastatin, may increase fasting glucose levels (239). Pre-clinical studies show that inhibited cholesterol synthesis reduces beta cell function through multiple mechanisms including reduced isoprenoid production, inhibited calcium channel function or altered mitochondrial function (240245).

Statin effects on mitochondrial function

Mitochondrial dysfunction is a hallmark of diabetic cardiomyopathy. Statin-induced side effects have been linked to mitochondrial dysfunction (246248), with statin-induced myopathy/weakness being the most commonly described. Statins may also affect mitochondrial function in cardiac myocytes (249, 250). Godoy et al. showed that atorvastatin reduced the protein expression of IR-β and decreased mitochondrial oxygen consumption in cultured cardiac myocytes (249). Statins have been linked to new onset T2DM (aka increased fasting glucose levels) after atorvastatin and rosuvastatin but not after pravastatin administration (211, 237, 251253). The West Scotland Coronary Prevention Study showed that pravastatin therapy reduced the risk of developing T2DM by 30% (239). Pravastatin is the only statin that raises HDL-C levels while lowering LDL-C and triglycerides. Statin users presented lower insulin secretion after oral glucose stimulation, indicating reduced beta-cell function (254). Females are more susceptible to statin adverse events, and observational studies report a high incidence of statin-myopathy (255258).

Of note, for the first time Zaborowska et al. showed that statins directly target lipid rafts (259). The group used a grazing-incidence X-ray diffraction/polarization modulation infrared reflection absorption spectroscopy/Brewster angle microscopy and investigated the effects of two statins with different lipophilicity (259). Condensed monolayers of lipid rafts were generated using a 1:1 ratio of cholesterol and sphingomyelin, allowing for the evaluation of fluvastatin and cerivastatin. The interaction between statins and individual lipid raft components depended on the drug’s lipophilicity and the organization of the lipid layer. With cerivastatin withdrawn from the market in 2001, rosuvastatin and atorvastatin now represent the most potent HMG-CoA reductase inhibitors. To mitigate potential statin-induced effects on glucose metabolism and muscle function, all T2DM patients should be encouraged to adopt intensive lifestyle modifications to prevent diabetic cardiomyopathy.

Challenges and Future Directions

Limitations in current understanding of membrane microdomains in diabetic cardiomyopathy.

Despite advances in understanding membrane microdomains, significant knowledge gaps remain regarding their role in diabetic cardiomyopathy. One of the primary limitations is the complexity of membrane microdomains, which contain diverse lipid and protein compositions that vary by cell type and metabolic state. The dynamic nature of these microdomains makes it challenging to pinpoint specific changes that occur in diabetic cardiomyopathy and how these alterations contribute to disease progression. Furthermore, the interplay between microdomains and insulin signaling is not fully elucidated. While caveolins and lipid rafts are known to regulate insulin receptor localization and function, it is unclear whether their dysfunction is a cause or consequence of insulin resistance in diabetic hearts. Additionally, studies often rely on in vitro models or genetically modified mice, which may not fully replicate the human diabetic condition, leading to translational challenges when developing targeted therapies.

Need for further research to elucidate specific mechanisms and targets within membrane microdomains.

Future research should aim to dissect the molecular mechanisms by which membrane microdomains influence diabetic cardiomyopathy. Specific areas of interest include the regulation of insulin receptor trafficking within lipid rafts, the impact of hyperglycemia on microdomain stability, and how changes in caveolin expression affect cardiac signaling pathways. Advances in super-resolution microscopy and lipidomics may help provide a clearer picture of these microdomains at a nanoscale level. Further investigation is needed into how microdomain-targeted therapies, such as Cav-3 or cholesterol-modulating agents, can mitigate cardiac dysfunction in diabetic patients. Identifying novel protein-lipid interactions within microdomains may also reveal new drug targets that could improve insulin sensitivity and cardioprotective signaling.

V. Conclusions

Membrane microdomains are crucial in regulating cardiac signaling, metabolism, and stress response. In diabetic cardiomyopathy, disruptions in these microdomains (Figure 5) contribute to impaired insulin signaling, increased oxidative stress, and mitochondrial dysfunction, ultimately leading to heart failure. The loss of caveolae-associated proteins, such as Cav-3, exacerbates cardiac dysfunction by altering calcium homeostasis and reducing cardioprotective signaling pathways. Despite growing recognition of these mechanisms, further research is needed to elucidate the role of microdomains in diabetic heart disease fully and to develop targeted therapeutic strategies. Advances in imaging techniques and biomarker discovery may pave the way for novel approaches, enabling more precise interventions that restore membrane microdomain integrity and improve cardiac outcomes in diabetic patients. Gene therapy approaches to restore caveolin expression in various disease settings (260, 261) may apply to diabetes but require further development and the future consideration of small molecules that may do the same. As our understanding of these cellular structures evolves, novel therapeutic strategies aimed at stabilizing membrane microdomains hold promise for mitigating the progression of diabetic cardiomyopathy and reducing the global burden of diabetes-related cardiovascular disease.

Figure 5: Caveolae-associated cardiomyocyte signaling pathways and its impairments in diabetic cardiomyopathy.

Figure 5:

Caveolae behaves as a biophysical and signaling hub whose disruption significantly impairs the cardiomyocyte physiology, ultimately leading to the diabetic cardiomyopathy scenario (72, 270273).

Acknowledgments

HHP is supported by a VA Merit (BX001963) and a Research Career Scientist Award from the Veterans Administration (BX005229).

Footnotes

Conflicts of Interest

AZH has funding from Merck, Sharp & Dohme. HHP, JZH, and JAB have no financial conflict of interest.

Literature Cited

  • 1.Smith NL, and Maynard C. The burden of diabetes-associated cardiovascular hospitalizations in Veterans Administration (VA) and non-VA medical facilities. Diabetes Care 27 Suppl 2: B27–32, 2004. [DOI] [PubMed] [Google Scholar]
  • 2.Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Despres JP, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER 3rd, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, and Turner MB. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation 131: e29–322, 2015. [DOI] [PubMed] [Google Scholar]
  • 3.Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, Bravata DM, Dai S, Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Huffman MD, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Magid D, Marcus GM, Marelli A, Matchar DB, McGuire DK, Mohler ER, Moy CS, Mussolino ME, Nichol G, Paynter NP, Schreiner PJ, Sorlie PD, Stein J, Turan TN, Virani SS, Wong ND, Woo D, and Turner MB. Executive summary: heart disease and stroke statistics--2013 update: a report from the American Heart Association. Circulation 127: 143–152, 2013. [DOI] [PubMed] [Google Scholar]
  • 4.Heidenreich PA, Albert NM, Allen LA, Bluemke DA, Butler J, Fonarow GC, Ikonomidis JS, Khavjou O, Konstam MA, Maddox TM, Nichol G, Pham M, Pina IL, and Trogdon JG. Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail 6: 606–619, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr., Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WH, Tsai EJ, and Wilkoff BL. 2013 ACCF/AHA guideline for the management of heart failure: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation 128: 1810–1852, 2013. [DOI] [PubMed] [Google Scholar]
  • 6.Hunt SA, Abraham WT, Chin MH, Feldman AM, Francis GS, Ganiats TG, Jessup M, Konstam MA, Mancini DM, Michl K, Oates JA, Rahko PS, Silver MA, Stevenson LW, Yancy CW, Antman EM, Smith SC Jr., Adams CD, Anderson JL, Faxon DP, Fuster V, Halperin JL, Hiratzka LF, Jacobs AK, Nishimura R, Ornato JP, Page RL, and Riegel B. ACC/AHA 2005 Guideline Update for the Diagnosis and Management of Chronic Heart Failure in the Adult: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Update the 2001 Guidelines for the Evaluation and Management of Heart Failure): developed in collaboration with the American College of Chest Physicians and the International Society for Heart and Lung Transplantation: endorsed by the Heart Rhythm Society. Circulation 112: e154–235, 2005. [DOI] [PubMed] [Google Scholar]
  • 7.The Criteria Committee of the New York Heart Association. Nomenclature an criteria for diagnosis of diseases of the heart and great vessels. Boston, Mass: Little & Brown, 1994. [Google Scholar]
  • 8.Smith SC. Multiple risk factors for cardiovascular disease and diabetes mellitus. Am J Med 120: S3–S11, 2007. [DOI] [PubMed] [Google Scholar]
  • 9.Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, and Smith SC Jr. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120: 1640–1645, 2009. [DOI] [PubMed] [Google Scholar]
  • 10.Eckel RH, Alberti KG, Grundy SM, and Zimmet PZ. The metabolic syndrome. Lancet 375: 181–183, 2010. [DOI] [PubMed] [Google Scholar]
  • 11.Joffe II, Travers KE, Perreault-Micale CL, Hampton T, Katz SE, Morgan JP, and Douglas PS. Abnormal cardiac function in the streptozotocin-induced non-insulin-dependent diabetic rat: noninvasive assessment with doppler echocardiography and contribution of the nitric oxide pathway. J Am Coll Cardiol 34: 2111–2119, 1999. [DOI] [PubMed] [Google Scholar]
  • 12.Poirier P, Bogaty P, Garneau C, Marois L, and Dumesnil JG. Diastolic dysfunction in normotensive men with well-controlled type 2 diabetes: importance of maneuvers in echocardiographic screening for preclinical diabetic cardiomyopathy. Diabetes Care 24: 5–10, 2001. [DOI] [PubMed] [Google Scholar]
  • 13.Mizushige K, Yao L, Noma T, Kiyomoto H, Yu Y, Hosomi N, Ohmori K, and Matsuo H. Alteration in left ventricular diastolic filling and accumulation of myocardial collagen at insulin-resistant prediabetic stage of a type II diabetic rat model. Circulation 101: 899–907, 2000. [DOI] [PubMed] [Google Scholar]
  • 14.Warley A, Powell JM, and Skepper JN. Capillary surface area is reduced and tissue thickness from capillaries to myocytes is increased in the left ventricle of streptozotocin-diabetic rats. Diabetologia 38: 413–421, 1995. [DOI] [PubMed] [Google Scholar]
  • 15.Eto M, Watanabe K, Sekiguchi M, Iwashima Y, Morikawa A, Oshima E, and Ishii K. Metabolic and morphological changes of the heart in Chinese hamsters (CHAD strain) with spontaneous long-term diabetes. Diabetes Res Clin Pract 3: 297–305, 1987. [DOI] [PubMed] [Google Scholar]
  • 16.Boudina S, and Abel ED. Diabetic cardiomyopathy revisited. Circulation 115: 3213–3223, 2007. [DOI] [PubMed] [Google Scholar]
  • 17.Boudina S, and Abel ED. Diabetic cardiomyopathy, causes and effects. Rev Endocrine Metabol Dis 11: 31–39, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Meagher P, Adam M, Civitarese R, Bugyei-Twum A, and Connelly KA. Heart failure with preserved ejection fraction in diabetes: mechanisms and management. Can J Cardiol 34: 632–643, 2018. [DOI] [PubMed] [Google Scholar]
  • 19.Mentz RJ, Kelly JP, von Lueder TG, Voors AA, Lam CS, Cowie MR, Kjeldsen K, Jankowska EA, Atar D, and Butler J. Noncardiac comorbidities in heart failure with reduced versus preserved ejection fraction. J Am Col Cardiol 64: 2281–2293, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Camici PG, d’Amati G, and Rimoldi O. Coronary microvascular dysfunction: mechanisms and functional assessment. Nat Rev Cardiol 12: 48–62, 2015. [DOI] [PubMed] [Google Scholar]
  • 21.McCallinhart PE, Chade AR, Bender SB, and Trask AJ. Expanding landscape of coronary microvascular disease in co-morbid conditions: Metabolic disease and beyond. J Mol Cell Cardiol 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Taqueti VR, and Di Carli MF. Coronary microvascular disease pathogenic mechanisms and therapeutic options: JACC state-of-the-art review. J Am Col Cardiol 72: 2625–2641, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zhang X, and Chen C. A new insight of mechanisms, diagnosis and treatment of diabetic cardiomyopathy. Endocrine Epub ahead of print: 10.1007/s12020-12012-19623-12021, 2012. [DOI] [PubMed] [Google Scholar]
  • 24.Balakumar P, and Sharma NK. Healing the diabetic heart: does myocardial preconditioning work? Cell Signal 24: 53–59, 2012. [DOI] [PubMed] [Google Scholar]
  • 25.Kaushik S, Massey AC, and Cuervo AM. Lysosome membrane lipid microdomains: novel regulators of chaperone-mediated autophagy. EMBO J 25: 3921–3933, 2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kusumi A, Fujiwara TK, Chadda R, Xie M, Tsunoyama TA, Kalay Z, Kasai RS, and Suzuki KG. Dynamic organizing principles of the plasma membrane that regulate signal transduction: commemorating the fortieth anniversary of Singer and Nicolson’s fluid-mosaic model. Ann Rev Cell Develop Biol 28: 215–250, 2012. [DOI] [PubMed] [Google Scholar]
  • 27.Cascianelli G, Villani M, Tosti M, Marini F, Bartoccini E, Viola Magni M, and Albi E. Lipid microdomains in cell nucleus. Mol Biol Cell 19: 5289–5295, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Prokisch S, and Büttner S. Partitioning into ER membrane microdomains impacts autophagic protein turnover during cellular aging. Sci Rep 14: 13653, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Garofalo T, Manganelli V, Grasso M, Mattei V, Ferri A, Misasi R, and Sorice M. Role of mitochondrial raft-like microdomains in the regulation of cell apoptosis. Apoptosis 20: 621–634, 2015. [DOI] [PubMed] [Google Scholar]
  • 30.Simons K, and Ehehalt R. Cholesterol, lipid rafts, and disease. J Clin Invest 110: 597–603, 2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ouweneel AB, Thomas MJ, and Sorci-Thomas MG. The ins and outs of lipid rafts: Functions in intracellular cholesterol homeostasis, microparticles, and cell membranes: Thematic Review Series: Biology of Lipid Rafts. J Lip Res 61: 676–686, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Palade G Fine structure of blood capillaries. J Appl Phys 24: 1424, 1953. [Google Scholar]
  • 33.Razani B, Woodman SE, and Lisanti MP. Caveolae: from cell biology to animal physiology. Pharmacol Rev 54: 431–467, 2002. [DOI] [PubMed] [Google Scholar]
  • 34.Patel HH, and Insel PA. Lipid rafts and caveolae and their role in compartmentation of redox signaling. Antioxid Redox Signal 11: 1357–1372, 2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Parton RG, and Simons K. The multiple faces of caveolae. Nat Rev Mol Cell Biol 8: 185–194, 2007. [DOI] [PubMed] [Google Scholar]
  • 36.Patel HH, Murray F, and Insel PA. Caveolae as organizers of pharmacologically relevant signal transduction molecules. Annu Rev Pharmacol Toxicol 48: 359–391, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Hernandez-Deviez DJ, Martin S, Laval SH, Lo HP, Cooper ST, North KN, Bushby K, and Parton RG. Aberrant dysferlin trafficking in cells lacking caveolin or expressing dystrophy mutants of caveolin-3. Hum Mol Genet 15: 129–142, 2006. [DOI] [PubMed] [Google Scholar]
  • 38.Galbiati F, Engelman JA, Volonte D, Zhang XL, Minetti C, Li M, Hou H Jr., Kneitz B, Edelmann W, and Lisanti MP. Caveolin-3 null mice show a loss of caveolae, changes in the microdomain distribution of the dystrophin-glycoprotein complex, and t-tubule abnormalities. J Biol Chem 276: 21425–21433, 2001. [DOI] [PubMed] [Google Scholar]
  • 39.Woodman SE, Park DS, Cohen AW, Cheung M, Chandra M, Shirani J, Tang B, Jelicks LA, Kitsis RN, Christ GJ, Factor SM, Tanowitz HB, and Lisanti MP. Caveolin-3 knock-out mice develop a progressive cardiomyopathy and show hyperactivation of the p42/44 MAP kinase cascade. J Biol Chem 277: 38988–38997, 2002. [DOI] [PubMed] [Google Scholar]
  • 40.Cohen AW, Combs TP, Scherer PE, and Lisanti MP. Role of caveolin and caveolae in insulin signaling and diabetes. American journal of physiology 285: E1151–1160, 2003. [DOI] [PubMed] [Google Scholar]
  • 41.Cohen AW, Hnasko R, Schubert W, and Lisanti MP. Role of caveolae and caveolins in health and disease. Physiol Rev 84: 1341–1379, 2004. [DOI] [PubMed] [Google Scholar]
  • 42.Tsutsumi YM, Horikawa YT, Jennings MM, Kidd MW, Niesman IR, Yokoyama U, Head BP, Hagiwara Y, Ishikawa Y, Miyanohara A, Patel PM, Insel PA, Patel HH, and Roth DM. Cardiac-specific overexpression of caveolin-3 induces endogenous cardiac protection by mimicking ischemic preconditioning. Circulation 118: 1979–1988, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Tsutsumi YM, Kawaraguchi Y, Horikawa YT, Niesman IR, Kidd MW, Chin-Lee B, Head BP, Patel PM, Roth DM, and Patel HH. Role of caveolin-3 and glucose transporter-4 in isoflurane-induced delayed cardiac protection. Anesthesiology 112: 1136–1145, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Horikawa YT, Panneerselvam M, Kawaraguchi Y, Tsutsumi YM, Ali SS, Balijepalli RC, Murray F, Head BP, Niesman IR, Rieg T, Vallon V, Insel PA, Patel HH, and Roth DM. Cardiac-specific overexpression of caveolin-3 attenuates cardiac hypertrophy and increases natriuretic peptide expression and signaling. J Am Coll Cardiol 57: 2273–2283, 2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hagiwara Y, Sasaoka T, Araishi K, Imamura M, Yorifuji H, Nonaka I, Ozawa E, and Kikuchi T. Caveolin-3 deficiency causes muscle degeneration in mice. Hum Mol Genet 9: 3047–3054, 2000. [DOI] [PubMed] [Google Scholar]
  • 46.Oshikawa J, Otsu K, Toya Y, Tsunematsu T, Hankins R, Kawabe J, Minamisawa S, Umemura S, Hagiwara Y, and Ishikawa Y. Insulin resistance in skeletal muscles of caveolin-3-null mice. Proc Natl Acad Sci U S A 101: 12670–12675, 2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gonzalez-Munoz E, Lopez-Iglesias C, Calvo M, Palacin M, Zorzano A, and Camps M. Caveolin-1 loss of function accelerates glucose transporter 4 and insulin receptor degradation in 3T3-L1 adipocytes. Endocrinology 150: 3493–3502, 2009. [DOI] [PubMed] [Google Scholar]
  • 48.Salani B, Briatore L, Garibaldi S, Cordera R, and Maggi D. Caveolin-1 down-regulation inhibits insulin-like growth factor-I receptor signal transduction in H9C2 rat cardiomyoblasts. Endocrinology 149: 461–465, 2008. [DOI] [PubMed] [Google Scholar]
  • 49.Ha H, and Pak Y. Modulation of the caveolin-3 and Akt status in caveolae by insulin resistance in H9c2 cardiomyoblasts. Exp Mol Med 37: 169–178, 2005. [DOI] [PubMed] [Google Scholar]
  • 50.Yamamoto M, Toya Y, Schwencke C, Lisanti MP, Myers MG Jr, and Ishikawa Y. Caveolin is an activator of insulin receptor signaling. J Biol Chem 273: 26962–26968, 1998. [DOI] [PubMed] [Google Scholar]
  • 51.Otsu K, Toya Y, Oshikawa J, Kurotani R, Yazawa T, Sato M, Yokoyama U, Umemura S, Minamisawa S, Okumura S, and Ishikawa Y. Caveolin gene transfer improves glucose metabolism in diabetic mice. Am J Physiol Cell Physiol 2009. [DOI] [PubMed] [Google Scholar]
  • 52.Frojdo S, Durand C, and Pirola L. Metabolic effects of resveratrol in mammals--a link between improved insulin action and aging. Curr Aging Sci 1: 145–151, 2008. [DOI] [PubMed] [Google Scholar]
  • 53.Penumathsa SV, Thirunavukkarasu M, Zhan L, Maulik G, Menon VP, Bagchi D, and Maulik N. Resveratrol enhances GLUT-4 translocation to the caveolar lipid raft fractions through AMPK/Akt/eNOS signalling pathway in diabetic myocardium. J Cell Mol Med 12: 2350–2361, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Shaul PW, and Anderson RG. Role of plasmalemmal caveolae in signal transduction. Am J Physiol 275: L843–851, 1998. [DOI] [PubMed] [Google Scholar]
  • 55.Singer SJ, and Nicolson GL. The Fluid Mosaic Model of the Structure of Cell Membranes: Cell membranes are viewed as two-dimensional solutions of oriented globular proteins and lipids. Science 175: 720–731, 1972. [DOI] [PubMed] [Google Scholar]
  • 56.Bagatolli LA, Ipsen JH, Simonsen AC, and Mouritsen OG. An outlook on organization of lipids in membranes: searching for a realistic connection with the organization of biological membranes. Prog Lip Res 49: 378–389, 2010. [DOI] [PubMed] [Google Scholar]
  • 57.Yao Y, Hong S, Zhou H, Yuan T, Zeng R, and Liao K. The differential protein and lipid compositions of noncaveolar lipid microdomains and caveolae. Cell Res 19: 497–506, 2009. [DOI] [PubMed] [Google Scholar]
  • 58.Bugger H, and Abel ED. Molecular mechanisms of diabetic cardiomyopathy. Diabetologia 57: 660–671, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Bickel PE. Lipid rafts and insulin signaling. American journal of physiology 282: E1–E10, 2002. [DOI] [PubMed] [Google Scholar]
  • 60.Billaud M, Lohman AW, Johnstone SR, Biwer LA, Mutchler S, and Isakson BE. Regulation of cellular communication by signaling microdomains in the blood vessel wall. Pharmacol Rev 66: 513–569, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Bers DM, Eisner DA, and Valdivia HH. Sarcoplasmic reticulum Ca2+ and heart failure: roles of diastolic leak and Ca2+ transport. Circ Res 93: 487–490, 2003. [DOI] [PubMed] [Google Scholar]
  • 62.Bers DM. Calcium cycling and signaling in cardiac myocytes. Annu Rev Physiol 70: 23–49, 2008. [DOI] [PubMed] [Google Scholar]
  • 63.Mammucari C, Patron M, Granatiero V, and Rizzuto R. Molecules and roles of mitochondrial calcium signaling. Biofactors 37: 219–227, 2011. [DOI] [PubMed] [Google Scholar]
  • 64.Gorski PA, Ceholski DK, and Hajjar RJ. Altered myocardial calcium cycling and energetics in heart failure—a rational approach for disease treatment. Cell Metabol 21: 183–194, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Sharma K Mitochondrial hormesis and diabetic complications. Diabetes 64: 663–672, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Sack MN. Type 2 diabetes, mitochondrial biology and the heart. J Mol Cell Cardiol 46: 842–849, 2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Head BP, Patel HH, and Insel PA. Interaction of membrane/lipid rafts with the cytoskeleton: impact on signaling and function: membrane/lipid rafts, mediators of cytoskeletal arrangement and cell signaling. Biochimica et Biophysica Acta (BBA)-Biomembranes 1838: 532–545, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Fessler MB, and Parks JS. Intracellular lipid flux and membrane microdomains as organizing principles in inflammatory cell signaling. J Immunol 187: 1529–1535, 2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Konishi M, Sakaguchi M, Lockhart SM, Cai W, Li ME, Homan EP, Rask-Madsen C, and Kahn CR. Endothelial insulin receptors differentially control insulin signaling kinetics in peripheral tissues and brain of mice. Proc Natl Acad Sci U S A 114: E8478–E8487, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Bonds JA, Shetti A, Bheri A, Chen Z, Disouky A, Tai L, Mao M, Head BP, Bonini MG, Haus JM, Minshall RD, and Lazarov O. Depletion of Caveolin-1 in Type 2 Diabetes Model Induces Alzheimer’s Disease Pathology Precursors. J Neurosci 39: 8576–8583, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Haddad D, Al Madhoun A, Nizam R, and Al-Mulla F. Role of Caveolin-1 in Diabetes and Its Complications. Oxid Med Cell Longev 2020: 9761539, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Xia W, Li X, Wu Q, Xu A, Zhang L, and Xia Z. The importance of caveolin as a target in the prevention and treatment of diabetic cardiomyopathy. Front Immunol 13: 951381, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Lajoie P, and Nabi IR. Lipid rafts, caveolae, and their endocytosis. Int Rev Cell Mol Biol 282: 135–163, 2010. [DOI] [PubMed] [Google Scholar]
  • 74.Chen L-Q, Cheung LS, Feng L, Tanner W, and Frommer WB. Transport of sugars. Annual review of biochemistry 84: 865–894, 2015. [DOI] [PubMed] [Google Scholar]
  • 75.Sylow L, Tokarz VL, Richter EA, and Klip A. The many actions of insulin in skeletal muscle, the paramount tissue determining glycemia. Cell Metabolism 33: 758–780, 2021. [DOI] [PubMed] [Google Scholar]
  • 76.Szablewski L Glucose transporters in healthy heart and in cardiac disease. International journal of cardiology 230: 70–75, 2017. [DOI] [PubMed] [Google Scholar]
  • 77.Murashige D, Jang C, Neinast M, Edwards JJ, Cowan A, Hyman MC, Rabinowitz JD, Frankel DS, and Arany Z. Comprehensive quantification of fuel use by the failing and nonfailing human heart. Science 370: 364–368, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Cohen AW, Razani B, Wang XB, Combs TP, Williams TM, Scherer PE, and Lisanti MP. Caveolin-1-deficient mice show insulin resistance and defective insulin receptor protein expression in adipose tissue. Am J Physiol Cell Physiol 285: C222–235, 2003. [DOI] [PubMed] [Google Scholar]
  • 79.Kiss AL, and Botos E. Endocytosis via caveolae: alternative pathway with distinct cellular compartments to avoid lysosomal degradation? J Cell Mol Med 13: 1228–1237, 2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Haddad D, Al Madhoun A, Nizam R, and Al-Mulla F. Role of Caveolin-1 in diabetes and its complications. Oxidat Med Cell Long 2020: 9761539, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Calebiro D, Nikolaev VO, Gagliani MC, de Filippis T, Dees C, Tacchetti C, Persani L, and Lohse MJ. Persistent cAMP-signals triggered by internalized G-protein-coupled receptors. PLoS Biol 7: e1000172, 2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Maurice P, Benleulmi-Chaachoua A, and Jockers R. Differential Assembly of GPCR Signaling Complexes Determines Signaling Specificity. Sub-cellular biochemistry 63: 225–240, 2012. [DOI] [PubMed] [Google Scholar]
  • 83.Kamal FA, Travers JG, and Blaxall BC. G protein-coupled receptor kinases in cardiovascular disease: why “where” matters. Trends in cardiovascular medicine 22: 213–219, 2012. [DOI] [PubMed] [Google Scholar]
  • 84.Timofeyev V, Myers RE, Kim HJ, Woltz RL, Sirish P, Heiserman JP, Li N, Singapuri A, Tang T, Yarov-Yarovoy V, Yamoah EN, Hammond HK, and Chiamvimonvat N. Adenylyl cyclase subtype-specific compartmentalization: differential regulation of L-type Ca2+ current in ventricular myocytes. Circ Res 112: 1567–1576, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Steinberg SF. beta(2)-Adrenergic receptor signaling complexes in cardiomyocyte caveolae/lipid rafts. J Mol Cell Cardiol 37: 407–415, 2004. [DOI] [PubMed] [Google Scholar]
  • 86.Head BP, Patel HH, Roth DM, Lai NC, Niesman IR, Farquhar MG, and Insel PA. G-protein coupled receptor signaling components localize in both sarcolemmal and intracellular caveolin-3-associated microdomains in adult cardiac myocytes. J Biol Chem 280: 31036–31044, 2005. [DOI] [PubMed] [Google Scholar]
  • 87.Pereira L, Cheng H, Lao DH, Na L, van Oort RJ, Brown JH, Wehrens XH, Chen J, and Bers DM. Epac2 mediates cardiac beta1-adrenergic-dependent sarcoplasmic reticulum Ca2+ leak and arrhythmia. Circulation 127: 913–922, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Han YS, Arroyo J, and Ogut O. Human heart failure is accompanied by altered protein kinase A subunit expression and post-translational state. Archives of biochemistry and biophysics 538: 25–33, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Timme TL, Goltsov A, Tahir S, Li L, Wang J, Ren C, Johnston RN, and Thompson TC. Caveolin-1 is regulated by c-myc and suppresses c-myc-induced apoptosis. Oncogene 19: 3256–3265, 2000. [DOI] [PubMed] [Google Scholar]
  • 90.Chen-Izu Y, Xiao RP, Izu LT, Cheng H, Kuschel M, Spurgeon H, and Lakatta EG. G(i)-dependent localization of beta(2)-adrenergic receptor signaling to L-type Ca(2+) channels. Biophys J 79: 2547–2556, 2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Xiang Y, and Kobilka B. The PDZ-binding motif of the beta2-adrenoceptor is essential for physiologic signaling and trafficking in cardiac myocytes. Proc Natl Acad Sci U S A 100: 10776–10781, 2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Communal C, Singh K, Sawyer DB, and Colucci WS. Opposing effects of beta(1)- and beta(2)-adrenergic receptors on cardiac myocyte apoptosis : role of a pertussis toxin-sensitive G protein. Circulation 100: 2210–2212, 1999. [DOI] [PubMed] [Google Scholar]
  • 93.Xiao RP, Zhu W, Zheng M, Chakir K, Bond R, Lakatta EG, and Cheng H. Subtype-specific beta-adrenoceptor signaling pathways in the heart and their potential clinical implications. Trends Pharmacol Sci 25: 358–365, 2004. [DOI] [PubMed] [Google Scholar]
  • 94.Nikolaev VO, Moshkov A, Lyon AR, Miragoli M, Novak P, Paur H, Lohse MJ, Korchev YE, Harding SE, and Gorelik J. Beta2-adrenergic receptor redistribution in heart failure changes cAMP compartmentation. Science 327: 1653–1657, 2010. [DOI] [PubMed] [Google Scholar]
  • 95.Carozzi AJ, Ikonen E, Lindsay MR, and Parton RG. Role of cholesterol in developing T-tubules: analogous mechanisms for T-tubule and caveolae biogenesis. Traffic 1: 326–341, 2000. [DOI] [PubMed] [Google Scholar]
  • 96.Wei S, Guo A, Chen B, Kutschke W, Xie Y-P, Zimmerman K, Weiss RM, Anderson ME, Cheng H, and Song L-S. T-tubule remodeling during transition from hypertrophy to heart failure. Circ Res 107: 520–531, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Woodcock EA, Du XJ, Reichelt ME, and Graham RM. Cardiac alpha 1-adrenergic drive in pathological remodelling. Cardiovasc Res 77: 452–462, 2008. [DOI] [PubMed] [Google Scholar]
  • 98.Gallego M, Alday A, Alonso H, and Casis O. Adrenergic regulation of cardiac ionic channels: role of membrane microdomains in the regulation of kv4 channels. Biochim Biophys Acta 1838: 692–699, 2014. [DOI] [PubMed] [Google Scholar]
  • 99.Alday A, Urrutia J, Gallego M, and Casis O. alpha1-adrenoceptors regulate only the caveolae-located subpopulation of cardiac K(V)4 channels. Channels (Austin) 4: 168–178, 2010. [DOI] [PubMed] [Google Scholar]
  • 100.Montgomery MD, Chan T, Swigart PM, Myagmar BE, Dash R, and Simpson PC. An Alpha-1A Adrenergic Receptor Agonist Prevents Acute Doxorubicin Cardiomyopathy in Male Mice. PLoS One 12: e0168409, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Zhang J, Simpson PC, and Jensen BC. Cardiac alpha1A-adrenergic receptors: emerging protective roles in cardiovascular diseases. Am J Physiol Heart Circ Physiol 320: H725–H733, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Cascianelli G, Villani M, Tosti M, Marini F, Bartoccini E, Magni MV, and Albi E. Lipid microdomains in cell nucleus. Mol Biol Cell 19: 5289–5295, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Fridolfsson HN, Roth DM, Insel PA, and Patel HH. Regulation of intracellular signaling and function by caveolin. FASEB J 28: 3823–3831, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Jeong K, Kwon H, Lee J, Jang D, Hwang EM, Park JY, and Pak Y. Rab6-mediated retrograde transport regulates inner nuclear membrane targeting of caveolin-2 in response to insulin. Traffic 13: 1218–1233, 2012. [DOI] [PubMed] [Google Scholar]
  • 105.Bodi I, Mikala G, Koch SE, Akhter SA, and Schwartz A. The L-type calcium channel in the heart: the beat goes on. J Clin Invest 115: 3306–3317, 2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Gong J, Zhou F, Xie S, Wang X, Xu J, and Xiao F. Caveolin-3 protects diabetic hearts from acute myocardial infarction/reperfusion injury through β2AR, cAMP/PKA, and BDNF/TrkB signaling pathways. Aging (Albany NY) 12: 14300, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Harvey RD, and Hell JW. CaV1. 2 signaling complexes in the heart. J Mol Cell Cardiol 58: 143–152, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Sato T, Sasaki N, Seharaseyon J, O’Rourke B, and Marbán E. Selective pharmacological agents implicate mitochondrial but not sarcolemmal KATP channels in ischemic cardioprotection. Circulation 101: 2418–2423, 2000. [DOI] [PubMed] [Google Scholar]
  • 109.Gross GJ, and Peart JN. KATP channels and myocardial preconditioning: an update. Am J Physiol Heart Circ Physiol 285: H921–H930, 2003. [DOI] [PubMed] [Google Scholar]
  • 110.Nichols CG, Singh GK, and Grange DK. KATP channels and cardiovascular disease: suddenly a syndrome. Circ Res 112: 1059–1072, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Feron O, Belhassen L, Kobzik L, Smith TW, Kelly RA, and Michel T. Endothelial nitric oxide synthase targeting to caveolae: specific interactions with caveolin isoforms in cardiac myocytes and endothelial cells. Journal of Biological Chemistry 271: 22810–22814, 1996. [DOI] [PubMed] [Google Scholar]
  • 112.Ju H, Zou R, Venema VJ, and Venema RC. Direct interaction of endothelial nitric-oxide synthase and caveolin-1 inhibits synthase activity. J Biol Chem 272: 18522–18525, 1997. [DOI] [PubMed] [Google Scholar]
  • 113.Feron O, and Kelly RA. The caveolar paradox: suppressing, inducing, and terminating eNOS signaling. Am Heart Assoc, 2001, p. 129–131. [DOI] [PubMed] [Google Scholar]
  • 114.Sbaa E, Frérart F, and Feron O. The double regulation of endothelial nitric oxide synthase by caveolae and caveolin: a paradox solved through the study of angiogenesis. Trends in cardiovascular medicine 15: 157–162, 2005. [DOI] [PubMed] [Google Scholar]
  • 115.Chen Z, DS Oliveira S, Zimnicka AM, Jiang Y, Sharma T, Chen S, Lazarov O, Bonini MG, Haus JM, and Minshall RD. Reciprocal regulation of eNOS and caveolin-1 functions in endothelial cells. Molecular Biology of the Cell 29: 1190–1202, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Liu VW, and Huang PL. Cardiovascular roles of nitric oxide: a review of insights from nitric oxide synthase gene disrupted mice. Cardiovasc Res 77: 19–29, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Patel HH, Zhang S, Murray F, Suda RY, Head BP, Yokoyama U, Swaney JS, Niesman IR, Schermuly RT, Pullamsetti SS, Thistlethwaite PA, Miyanohara A, Farquhar MG, Yuan JX, and Insel PA. Increased smooth muscle cell expression of caveolin-1 and caveolae contribute to the pathophysiology of idiopathic pulmonary arterial hypertension. FASEB J 21: 2970–2979, 2007. [DOI] [PubMed] [Google Scholar]
  • 118.Zhao Y-Y, Liu Y, Stan R-V, Fan L, Gu Y, Dalton N, Chu P-H, Peterson K, Ross J Jr, and Chien KR. Defects in caveolin-1 cause dilated cardiomyopathy and pulmonary hypertension in knockout mice. Proc Natl Acad Sci U S A 99: 11375–11380, 2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Desjardins F, Lobysheva I, Pelat M, Gallez B, Feron O, Dessy C, and Balligand J-L. Control of blood pressure variability in caveolin-1-deficient mice: role of nitric oxide identified in vivo through spectral analysis. Cardiovascular research 79: 527–536, 2008. [DOI] [PubMed] [Google Scholar]
  • 120.Elçioğlu KH, Kabasakal L, Çetinel Ş, Conturk G, Sezen SF, and Ayanoğlu-Dülger G. Changes in caveolin-1 expression and vasoreactivity in the aorta and corpus cavernosum of fructose and streptozotocin-induced diabetic rats. Eur J Pharmacol 642: 113–120, 2010. [DOI] [PubMed] [Google Scholar]
  • 121.Feron O, Dessy C, Moniotte S, Desager J-P, and Balligand J-L. Hypercholesterolemia decreases nitric oxide production by promoting the interaction of caveolin and endothelial nitric oxide synthase. J Clin Invest 103: 897–905, 1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Blair A, Shaul PW, Yuhanna IS, Conrad PA, and Smart EJ. Oxidized low density lipoprotein displaces endothelial nitric-oxide synthase (eNOS) from plasmalemmal caveolae and impairs eNOS activation. J Biol Chem 274: 32512–32519, 1999. [DOI] [PubMed] [Google Scholar]
  • 123.Shaul PW. Endothelial nitric oxide synthase, caveolae and the development of atherosclerosis. J Physiol 547: 21–33, 2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Uittenbogaard A, Shaul PW, Yuhanna IS, Blair A, and Smart EJ. High density lipoprotein prevents oxidized low density lipoprotein-induced inhibition of endothelial nitric-oxide synthase localization and activation in caveolae. J Biol Chem 275: 11278–11283, 2000. [DOI] [PubMed] [Google Scholar]
  • 125.Mineo C, and Shaul PW. Regulation of eNOS in caveolae. Caveolins and Caveolae: Roles in Signaling and Disease Mechanisms 51–62, 2012. [DOI] [PubMed] [Google Scholar]
  • 126.Tessari P, Cecchet D, Cosma A, Vettore M, Coracina A, Millioni R, Iori E, Puricelli L, Avogaro A, and Vedovato M. Nitric oxide synthesis is reduced in subjects with type 2 diabetes and nephropathy. Diabetes 59: 2152–2159, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Kashyap SR, Lara A, Zhang R, Park YM, and DeFronzo RA. Insulin reduces plasma arginase activity in type 2 diabetic patients. Diabetes care 31: 134–139, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Kashyap SR, Roman LJ, Lamont J, Masters BSS, Bajaj M, Suraamornkul S, Belfort R, Berria R, Kellogg DL Jr, and Liu Y. Insulin resistance is associated with impaired nitric oxide synthase activity in skeletal muscle of type 2 diabetic subjects. J Clin Endocrinol Metabol 90: 1100–1105, 2005. [DOI] [PubMed] [Google Scholar]
  • 129.Bahadoran Z, Mirmiran P, Kashfi K, and Ghasemi A. Vascular nitric oxide resistance in type 2 diabetes. Cell Death & Disease 14: 410, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Bahadoran Z, Mirmiran P, and Ghasemi A. Type 2 diabetes-related sarcopenia: role of nitric oxide. Nutrition & Metabolism 21: 107, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Hynes RO. Integrins: versatility, modulation, and signaling in cell adhesion. Cell 69: 11–25, 1992. [DOI] [PubMed] [Google Scholar]
  • 132.Calderwood DA, Shattil SJ, and Ginsberg MH. Integrins and actin filaments: reciprocal regulation of cell adhesion and signaling. J Biol Chem 275: 22607–22610, 2000. [DOI] [PubMed] [Google Scholar]
  • 133.Sun Z, Guo SS, and Fässler R. Integrin-mediated mechanotransduction. J Cell Biol 215: 445–456, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Stephens LE, Sutherland AE, Klimanskaya IV, Andrieux A, Meneses J, Pedersen RA, and Damsky CH. Deletion of beta 1 integrins in mice results in inner cell mass failure and peri-implantation lethality. Genes Develop 9: 1883–1895, 1995. [DOI] [PubMed] [Google Scholar]
  • 135.Fässler R, and Meyer M. Consequences of lack of beta 1 integrin gene expression in mice. Genes & Develop 9: 1896–1908, 1995. [DOI] [PubMed] [Google Scholar]
  • 136.Monkley SJ, Zhou XH, Kinston SJ, Giblett SM, Hemmings L, Priddle H, Brown JE, Pritchard CA, Critchley DR, and Fässler R. Disruption of the talin gene arrests mouse development at the gastrulation stage. Develop Dynam 219: 560–574, 2000. [DOI] [PubMed] [Google Scholar]
  • 137.Xu W, Baribault H, and Adamson ED. Vinculin knockout results in heart and brain defects during embryonic development. Development 125: 327–337, 1998. [DOI] [PubMed] [Google Scholar]
  • 138.Shai SY, Harpf AE, Babbitt CJ, Jordan MC, Fishbein MC, Chen J, Omura M, Leil TA, Becker KD, Jiang M, Smith DJ, Cherry SR, Loftus JC, and Ross RS. Cardiac myocyte-specific excision of the beta1 integrin gene results in myocardial fibrosis and cardiac failure. Circ Res 90: 458–464, 2002. [DOI] [PubMed] [Google Scholar]
  • 139.Manso AM, Okada H, Sakamoto FM, Moreno E, Monkley SJ, Li R, Critchley DR, and Ross RS. Loss of mouse cardiomyocyte talin-1 and talin-2 leads to β-1 integrin reduction, costameric instability, and dilated cardiomyopathy. Proc Natl Acad Sci U S A 114: E6250–E6259, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Zemljic-Harpf AE, Miller JC, Henderson SA, Wright AT, Manso AM, Elsherif L, Dalton ND, Thor AK, Perkins GA, McCulloch AD, and Ross RS. Cardiac-myocyte-specific excision of the vinculin gene disrupts cellular junctions, causing sudden death or dilated cardiomyopathy. Mol Cell Biol 27: 7522–7537, 2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Zemljic-Harpf A, Manso AM, and Ross RS. Vinculin and talin: focus on the myocardium. J Investig Med 57: 849–855, 2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Gazzerro E, Sotgia F, Bruno C, Lisanti MP, and Minetti C. Caveolinopathies: from the biology of caveolin-3 to human diseases. Eur J Hum Gen 18: 137–145, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Vatta M, Ackerman MJ, Ye B, Makielski JC, Ughanze EE, Taylor EW, Tester DJ, Balijepalli RC, Foell JD, and Li Z. Mutant caveolin-3 induces persistent late sodium current and is associated with long-QT syndrome. Circulation 114: 2104–2112, 2006. [DOI] [PubMed] [Google Scholar]
  • 144.Vaidyanathan R, Reilly L, and Eckhardt LL. Caveolin-3 microdomain: Arrhythmia implications for potassium inward rectifier and cardiac sodium channel. Front Physiol 9: 1548, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Tyan L, Foell JD, Vincent KP, Woon MT, Mesquitta WT, Lang D, Best JM, Ackerman MJ, McCulloch AD, and Glukhov AV. Long QT syndrome caveolin-3 mutations differentially modulate Kv4 and Cav1. 2 channels to contribute to action potential prolongation. J Physiol 597: 1531–1551, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Tyan L, Turner D, Komp KR, Medvedev RY, Lim E, and Glukhov AV. Caveolin-3 is required for regulation of transient outward potassium current by angiotensin II in mouse atrial myocytes. Am J Physiol Heart Circ Physiol 320: H787–H797, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.He M, Qiu J, Wang Y, Bai Y, and Chen G. Caveolin-3 and arrhythmias: insights into the molecular mechanisms. J Clin Med 11: 1595, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Hamill OP, and Martinac B. Molecular basis of mechanotransduction in living cells. Physiol Rev 81: 685–740, 2001. [DOI] [PubMed] [Google Scholar]
  • 149.Israeli-Rosenberg S, Chen C, Li R, Deussen DN, Niesman IR, Okada H, Patel HH, Roth DM, and Ross RS. Caveolin modulates integrin function and mechanical activation in the cardiomyocyte. FASEB J 29: 374–384, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Romanelli G, Villarreal L, Espasandín C, and Benech JC. Diabetes induces modifications in costameric proteins and increases cardiomyocyte stiffness. Am J Physiol Cell Physiol 327: C1263–C1273, 2024. [DOI] [PubMed] [Google Scholar]
  • 151.Park H, Go Y-M, John PLS, Maland MC, Lisanti MP, Abrahamson DR, and Jo H. Plasma membrane cholesterol is a key molecule in shear stress-dependent activation of extracellular signal-regulated kinase. J Biol Chem 273: 32304–32311, 1998. [DOI] [PubMed] [Google Scholar]
  • 152.Radel C, Carlile-Klusacek M, and Rizzo V. Participation of caveolae in β1 integrin-mediated mechanotransduction. Biochem Biophys Res Comm 358: 626–631, 2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Wickström SA, Lange A, Hess MW, Polleux J, Spatz JP, Krüger M, Pfaller K, Lambacher A, Bloch W, and Mann M. Integrin-linked kinase controls microtubule dynamics required for plasma membrane targeting of caveolae. Develop Cell 19: 574–588, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Echarri A, and Pozo MAD. Caveolae internalization regulates integrin-dependent signaling pathways. Cell cycle 5: 2179–2182, 2006. [DOI] [PubMed] [Google Scholar]
  • 155.Rizzo V, Sung A, Oh P, and Schnitzer JE. Rapid mechanotransduction in situ at the luminal cell surface of vascular endothelium and its caveolae. J Biol Chem 273: 26323–26329, 1998. [DOI] [PubMed] [Google Scholar]
  • 156.Aman J, and Margadant C. Integrin-Dependent Cell–Matrix Adhesion in Endothelial Health and Disease. Circulation Research 132: 355–378, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Lolo F-N, Pavón DM, Grande-García A, Elosegui-Artola A, Segatori VI, Sánchez S, Trepat X, Roca-Cusachs P, and Del Pozo MA. Caveolae couple mechanical stress to integrin recycling and activation. Elife 11: e82348, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Yeh Y-C, Ling J-Y, Chen W-C, Lin H-H, and Tang M-J. Mechanotransduction of matrix stiffness in regulation of focal adhesion size and number: reciprocal regulation of caveolin-1 and β1 integrin. Sci Rep 7: 15008, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Rodríguez-Sinovas A, Sánchez JA, Valls-Lacalle L, Consegal M, and Ferreira-González I. Connexins in the heart: regulation, function and involvement in cardiac disease. Internat J Mol Sci 22: 4413, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Langlois S, Cowan KN, Shao Q, Cowan BJ, and Laird DW. Caveolin-1 and-2 interact with connexin43 and regulate gap junctional intercellular communication in keratinocytes. Mol Biol Cell 19: 912–928, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Dupont E, Matsushita T, Kaba RA, Vozzi C, Coppen SR, Khan N, Kaprielian R, Yacoub MH, and Severs NJ. Altered connexin expression in human congestive heart failure. J Mol Cell Cardiol 33: 359–371, 2001. [DOI] [PubMed] [Google Scholar]
  • 162.Hesketh GG, Shah MH, Halperin VL, Cooke CA, Akar FG, Yen TE, Kass DA, Machamer CE, Van Eyk JE, and Tomaselli GF. Ultrastructure and regulation of lateralized connexin43 in the failing heart. Circulation research 106: 1153–1163, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Liao C-K, Wang S-M, Chen Y-L, Wang H-S, and Wu J-C. Lipopolysaccharide-induced inhibition of connexin43 gap junction communication in astrocytes is mediated by downregulation of caveolin-3. Int J Biochem Cell Biol 42: 762–770, 2010. [DOI] [PubMed] [Google Scholar]
  • 164.Liu L, Li Y, Lin J, Liang Q, Sheng X, Wu J, Huang R, Liu S, and Li Y. Connexin43 interacts with Caveolin-3 in the heart. Mol Biol Rep 37: 1685–1691, 2010. [DOI] [PubMed] [Google Scholar]
  • 165.Lei S, Li H, Xu J, Liu Y, Gao X, Wang J, Ng KF, Lau WB, Ma X-l, and Rodrigues B. Hyperglycemia-induced protein kinase C β2 activation induces diastolic cardiac dysfunction in diabetic rats by impairing caveolin-3 expression and Akt/eNOS signaling. Diabetes 62: 2318–2328, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Ng M, Dai X, Cogen RM, Abdelmasseh M, Abdollahi A, Abdullahi A, Aboagye RG, Abukhadijah HJ, Adeyeoluwa TE, and Afolabi AA. National-level and state-level prevalence of overweight and obesity among children, adolescents, and adults in the USA, 1990–2021, and forecasts up to 2050. Lancet 404: 2278–2298, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Després J-P, and Lemieux I Abdominal obesity and metabolic syndrome. Nature 444: 881, 2006. [DOI] [PubMed] [Google Scholar]
  • 168.Engin A The definition and prevalence of obesity and metabolic syndrome. Obesity and lipotoxicity 1–17, 2017. [DOI] [PubMed] [Google Scholar]
  • 169.Shvets E, Ludwig A, and Nichols BJ. News from the caves: update on the structure and function of caveolae. Curr Opin Cell Biol 29: 99–106, 2014. [DOI] [PubMed] [Google Scholar]
  • 170.Razani B, Combs TP, Wang XB, Frank PG, Park DS, Russell RG, Li M, Tang B, Jelicks LA, and Scherer PE. Caveolin-1-deficient mice are lean, resistant to diet-induced obesity, and show hypertriglyceridemia with adipocyte abnormalities. J Biol Chem 277: 8635–8647, 2002. [DOI] [PubMed] [Google Scholar]
  • 171.Catalán V, Gómez-Ambrosi J, Rodríguez A, Silva C, Rotellar F, Gil MJ, Cienfuegos JA, Salvador J, and Frühbeck G. Expression of caveolin-1 in human adipose tissue is upregulated in obesity and obesity-associated type 2 diabetes mellitus and related to inflammation. Clin Cndocrinol 68: 213–219, 2008. [DOI] [PubMed] [Google Scholar]
  • 172.Kawai T, Autieri MV, and Scalia R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am J Physiol Cell Physiol 320: C375–C391, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Singh VP, Bali A, Singh N, and Jaggi AS. Advanced glycation end products and diabetic complications. Korean J Physiol Pharmacol 18: 1–14, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Mengstie MA, Chekol Abebe E, Behaile Teklemariam A, Tilahun Mulu A, Agidew MM, Teshome Azezew M, Zewde EA, and Agegnehu Teshome A. Endogenous advanced glycation end products in the pathogenesis of chronic diabetic complications. Front Mol Biosci 9: 1002710, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Ayelign B, Negash M, Andualem H, Wondemagegn T, Kassa E, Shibabaw T, Akalu Y, and Molla MD. Association of IL-10 (- 1082 A/G) and IL-6 (- 174 G/C) gene polymorphism with type 2 diabetes mellitus in Ethiopia population. BMC Endocr Disord 21: 70, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Uribarri J, Cai W, Peppa M, Goodman S, Ferrucci L, Striker G, and Vlassara H. Circulating glycotoxins and dietary advanced glycation endproducts: two links to inflammatory response, oxidative stress, and aging. J Gerontol A Biol Sci Med Sci 62: 427–433, 2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Perry VH, and Teeling J. Microglia and macrophages of the central nervous system: the contribution of microglia priming and systemic inflammation to chronic neurodegeneration. Semin Immunopathol 35: 601–612, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Toledano A, Rodriguez-Casado A, Alvarez MI, and Toledano-Diaz A. Alzheimer’s Disease, Obesity, and Type 2 Diabetes: Focus on Common Neuroglial Dysfunctions (Critical Review and New Data on Human Brain and Models). Brain Sci 14: 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Checa J, and Aran JM. Reactive Oxygen Species: Drivers of Physiological and Pathological Processes. J Inflamm Res 13: 1057–1073, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Juan CA,Perez de la Lastra JM, Plou FJ, and Perez-Lebena E. The Chemistry of Reactive Oxygen Species (ROS) Revisited: Outlining Their Role in Biological Macromolecules (DNA, Lipids and Proteins) and Induced Pathologies. Int J Mol Sci 22: 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Caturano A, D’Angelo M, Mormone A, Russo V, Mollica MP, Salvatore T, Galiero R, Rinaldi L, Vetrano E, Marfella R, Monda M, Giordano A, and Sasso FC. Oxidative Stress in Type 2 Diabetes: Impacts from Pathogenesis to Lifestyle Modifications. Curr Issues Mol Biol 45: 6651–6666, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Fridolfsson HN, Kawaraguchi Y, Ali SS, Panneerselvam M, Niesman IR, Finley JC, Kellerhals SE, Migita MY, Okada H, Moreno AL, Jennings M, Kidd MW, Bonds JA, Balijepalli RC, Ross RS, Patel PM, Miyanohara A, Chen Q, Lesnefsky EJ, Head BP, Roth DM, Insel PA, and Patel HH. Mitochondria-localized caveolin in adaptation to cellular stress and injury. FASEB J 26: 4637–4649, 2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Minshall RD, Sessa WC, Stan RV, Anderson RG, and Malik AB. Caveolin regulation of endothelial function. Am J Physiol Lung Cell Mol Physiol 285: L1179–1183, 2003. [DOI] [PubMed] [Google Scholar]
  • 184.Vanhoutte PM, Shimokawa H, Feletou M, and Tang EH. Endothelial dysfunction and vascular disease - a 30th anniversary update. Acta Physiol (Oxf) 219: 22–96, 2017. [DOI] [PubMed] [Google Scholar]
  • 185.Ungvari Z, Tarantini S, Kiss T, Wren JD, Giles CB, Griffin CT, Murfee WL, Pacher P, and Csiszar A. Endothelial dysfunction and angiogenesis impairment in the ageing vasculature. Nat Rev Cardiol 15: 555–565, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Gurtner GC, Werner S, Barrandon Y, and Longaker MT. Wound repair and regeneration. Nature 453: 314–321, 2008. [DOI] [PubMed] [Google Scholar]
  • 187.Davignon J, and Ganz P. Role of endothelial dysfunction in atherosclerosis. Circulation 109: III27–32, 2004. [DOI] [PubMed] [Google Scholar]
  • 188.Augustin HG, and Koh GY. A systems view of the vascular endothelium in health and disease. Cell 187: 4833–4858, 2024. [DOI] [PubMed] [Google Scholar]
  • 189.Kreis P, Leondaritis G, Lieberam I, and Eickholt BJ. Subcellular targeting and dynamic regulation of PTEN: implications for neuronal cells and neurological disorders. Front Mol Neurosci 7: 23, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.de la Monte SM, and Wands JR. Alzheimer’s disease is type 3 diabetes-evidence reviewed. J Diabetes Sci Technol 2: 1101–1113, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Weisman MI, Caiolfa VR, and Parola AH. Adenosine deaminase-complexing protein from bovine kidney. Isolation of two distinct subunits. J Biol Chem 263: 5266–5270, 1988. [PubMed] [Google Scholar]
  • 192.Tang W, Li Y, He S, Jiang T, Wang N, Du M, Cheng B, Gao W, Li Y, and Wang Q. Caveolin-1 alleviates diabetes-associated cognitive dysfunction through modulating neuronal ferroptosis-mediated mitochondrial homeostasis. Antiox Redox Sig 37: 867–886, 2022. [DOI] [PubMed] [Google Scholar]
  • 193.Tang W, Yan C, He S, Du M, Cheng B, Deng B, Zhu S, Li Y, and Wang Q. Neuron-targeted overexpression of caveolin-1 alleviates diabetes-associated cognitive dysfunction via regulating mitochondrial fission-mitophagy axis. Cell Comm Sig 21: 357, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 194.Tsuchiya H, and Mizogami M. Interaction of drugs with lipid raft membrane domains as a possible target. Drug Target Insights 14: 34, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Lee T-M, Chang N-C, and Lin S-Z. Dapagliflozin, a selective SGLT2 Inhibitor, attenuated cardiac fibrosis by regulating the macrophage polarization via STAT3 signaling in infarcted rat hearts. Free Radical Biology and Medicine 104: 298–310, 2017. [DOI] [PubMed] [Google Scholar]
  • 196.Lee H-C, Shiou Y-L, Jhuo S-J, Chang C-Y, Liu P-L, Jhuang W-J, Dai Z-K, Chen W-Y, Chen Y-F, and Lee A-S. The sodium–glucose co-transporter 2 inhibitor empagliflozin attenuates cardiac fibrosis and improves ventricular hemodynamics in hypertensive heart failure rats. Cardiovasc Diabetol 18: 1–13, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Lee YJ, Kim MO, Ryu JM, and Han HJ. Regulation of SGLT expression and localization through Epac/PKA-dependent caveolin-1 and F-actin activation in renal proximal tubule cells. Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1823: 971–982, 2012. [DOI] [PubMed] [Google Scholar]
  • 198.Cassis P, Locatelli M, Cerullo D, Corna D, Buelli S, Zanchi C, Villa S, Morigi M, Remuzzi G, and Benigni A. SGLT2 inhibitor dapagliflozin limits podocyte damage in proteinuric nondiabetic nephropathy. JCI insight 3: 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Locatelli M, Zoja C, Conti S, Cerullo D, Corna D, Rottoli D, Zanchi C, Tomasoni S, Remuzzi G, and Benigni A. Empagliflozin protects glomerular endothelial cell architecture in experimental diabetes through the VEGF-A/caveolin-1/PV-1 signaling pathway. J Pathol 256: 468–479, 2022. [DOI] [PubMed] [Google Scholar]
  • 200.Kusminski CM, Perez-Tilve D, Muller TD, DiMarchi RD, Tschop MH, and Scherer PE. Transforming obesity: The advancement of multi-receptor drugs. Cell 187: 3829–3853, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Oqua AI, Manchanda Y, McGlone ER, Jones B, Rouse S, and Tomas A. Lipid regulation of the glucagon receptor family. J Endocrinol 261: 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Syme CA, Zhang L, and Bisello A. Caveolin-1 regulates cellular trafficking and function of the glucagon-like peptide 1 receptor. Mol Endocrinol 20: 3400–3411, 2006. [DOI] [PubMed] [Google Scholar]
  • 203.Oqua AI, Chao K, El Eid L, Casteller L, Baxter BP, Miguéns-Gómez A, Barg S, Jones B, Bernadino de la Serna J, and Rouse SL. Molecular mapping and functional validation of GLP-1R cholesterol binding sites in pancreatic beta cells. bioRxiv 2024.2006. 2022.600087, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Packer M, Zile MR, Kramer CM, Baum SJ, Litwin SE, Menon V, Ge J, Weerakkody GJ, Ou Y, Bunck MC, Hurt KC, Murakami M, Borlaug BA, and Group STS. Tirzepatide for Heart Failure with Preserved Ejection Fraction and Obesity. N Engl J Med 392: 427–437, 2025. [DOI] [PubMed] [Google Scholar]
  • 205.Edidin M Lipids on the frontier: a century of cell-membrane bilayers. Nat Rev Mol Cell Biol 4: 414–418, 2003. [DOI] [PubMed] [Google Scholar]
  • 206.Smart EJ, Ying Y-s, Donzell WC, and Anderson RG. A role for caveolin in transport of cholesterol from endoplasmic reticulum to plasma membrane. J Biol Chem 271: 29427–29435, 1996. [DOI] [PubMed] [Google Scholar]
  • 207.Mosca L, Barrett-Connor E, and Kass Wenger N. Sex/gender differences in cardiovascular disease prevention: what a difference a decade makes. Circulation 124: 2145–2154, 2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM, Carnethon MR, Dai S, de Simone G, Ford ES, Fox CS, Fullerton HJ, Gillespie C, Greenlund KJ, Hailpern SM, Heit JA, Ho PM, Howard VJ, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Makuc DM, Marcus GM, Marelli A, Matchar DB, McDermott MM, Meigs JB, Moy CS, Mozaffarian D, Mussolino ME, Nichol G, Paynter NP, Rosamond WD, Sorlie PD, Stafford RS, Turan TN, Turner MB, Wong ND, and Wylie-Rosett J. Heart disease and stroke statistics--2011 update: a report from the American Heart Association. Circulation 123: e18–e209, 2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Norhammar A, and Schenck-Gustafsson K. Type 2 diabetes and cardiovascular disease in women. Diabetologia 56: 1–9, 2013. [DOI] [PubMed] [Google Scholar]
  • 210.Wald NJ, and Law MR. A strategy to reduce cardiovascular disease by more than 80%. Brit Med J 326: 1419, 2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211.Ridker PM, Danielson E, Fonseca FA, Genest J, Gotto AM Jr., Kastelein JJ, Koenig W, Libby P, Lorenzatti AJ, MacFadyen JG, Nordestgaard BG, Shepherd J, Willerson JT, and Glynn RJ. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N Engl J Med 359: 2195–2207, 2008. [DOI] [PubMed] [Google Scholar]
  • 212.Ridker PM. The JUPITER trial: results, controversies, and implications for prevention. Circ Cardiovasc Qual Outcomes 2: 279–285, 2009. [DOI] [PubMed] [Google Scholar]
  • 213.Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, Kirby A, Sourjina T, Peto R, Collins R, and Simes R. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet 366: 1267–1278, 2005. [DOI] [PubMed] [Google Scholar]
  • 214.Kearney PM, Blackwell L, Collins R, Keech A, Simes J, Peto R, Armitage J, and Baigent C. Efficacy of cholesterol-lowering therapy in 18,686 people with diabetes in 14 randomised trials of statins: a meta-analysis. Lancet 371: 117–125, 2008. [DOI] [PubMed] [Google Scholar]
  • 215.Sacks FM, Pfeffer MA, Moye LA, Rouleau JL, Rutherford JD, Cole TG, Brown L, Warnica JW, Arnold JM, Wun CC, Davis BR, and Braunwald E. The effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. Cholesterol and Recurrent Events Trial investigators. N Engl J Med 335: 1001–1009, 1996. [DOI] [PubMed] [Google Scholar]
  • 216.Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S). Lancet 344: 1383–1389, 1994. [PubMed] [Google Scholar]
  • 217.Goff DC Jr., Lloyd-Jones DM, Bennett G, Coady S, D’Agostino RB Sr., Gibbons R, Greenland P, Lackland DT, Levy D, O’Donnell CJ, Robinson J, Schwartz JS, Shero ST, Smith SC Jr., Sorlie P, Stone NJ, and Wilson PW. 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Sawar et al. ERFC. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet 375: 2215–2222, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Tancredi M, Rosengren A, Svensson A-M, Kosiborod M, Pivodic A, Gudbjörnsdottir S, Wedel H, Clements M, Dahlqvist S, and Lind M. Excess mortality among persons with type 2 diabetes. N Eng J Med 373: 1720–1732, 2015. [DOI] [PubMed] [Google Scholar]
  • 220.Pylypchuk R, Wells S, Kerr A, Poppe K, Harwood M, Mehta S, Grey C, Wu BP, Selak V, and Drury PL. Cardiovascular risk prediction in type 2 diabetes before and after widespread screening: a derivation and validation study. Lancet 397: 2264–2274, 2021. [DOI] [PubMed] [Google Scholar]
  • 221.Istvan ES, and Deisenhofer J. Structural mechanism for statin inhibition of HMG-CoA reductase. Science 292: 1160–1164, 2001. [DOI] [PubMed] [Google Scholar]
  • 222.Endo A The discovery and development of HMG-CoA reductase inhibitors. J Lipid Res 33: 1569–1582, 1992. [PubMed] [Google Scholar]
  • 223.Zhou Q, and Liao JK. Pleiotropic effects of statins. - Basic research and clinical perspectives. Circ J 74: 818–826, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.FDA U. Drug Administration. FDA Drug Safety Communica-tion: Important safety label changes to cholesterol lowering statin drugs, FDA expands advice on statins risk [actual-ized 29 Feb 2012],. 2012. [Google Scholar]
  • 225.Food U, and Administration D. FDA Drug Safety Communication: Important safety label changes to cholesterol-lowering statin drugs; Jan 19, 2016. 2016. [Google Scholar]
  • 226.Laakso M, and Fernandes Silva L. Statins and risk of type 2 diabetes: mechanism and clinical implications. Frontiers in endocrinology 14: 1239335, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Merz KE, and Thurmond DC. Role of skeletal muscle in insulin resistance and glucose uptake. Comprehensive Physiology 10: 785–809, 2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Carnagarin R, Dharmarajan AM, and Dass CR. Molecular aspects of glucose homeostasis in skeletal muscle–A focus on the molecular mechanisms of insulin resistance. Molecular and cellular endocrinology 417: 52–62, 2015. [DOI] [PubMed] [Google Scholar]
  • 229.Jiang Z, Yu B, and Li Y. Effect of three statins on glucose uptake of cardiomyocytes and its mechanism. Medical science monitor: international medical journal of experimental and clinical research 22: 2825, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Li W, Liang X, Zeng Z, Yu K, Zhan S, Su Q, Yan Y, Mansai H, Qiao W, and Yang Q. Simvastatin inhibits glucose uptake activity and GLUT4 translocation through suppression of the IR/IRS-1/Akt signaling in C2C12 myotubes. Biomedicine & Pharmacotherapy 83: 194–200, 2016. [DOI] [PubMed] [Google Scholar]
  • 231.Yaluri N, Modi S, and Kokkola T. Simvastatin induces insulin resistance in L6 skeletal muscle myotubes by suppressing insulin signaling, GLUT4 expression and GSK-3β phosphorylation. Biochemical and biophysical research communications 480: 194–200, 2016. [DOI] [PubMed] [Google Scholar]
  • 232.Sun B, Zhong Z, Wang F, Xu J, Xu F, Kong W, Ling Z, Shu N, Li Y, and Wu T. Atorvastatin impaired glucose metabolism in C2C12 cells partly via inhibiting cholesterol-dependent glucose transporter 4 translocation. Biochemical pharmacology 150: 108–119, 2018. [DOI] [PubMed] [Google Scholar]
  • 233.Sanvee GM, Panajatovic MV, Bouitbir J, and Krähenbühl S. Mechanisms of insulin resistance by simvastatin in C2C12 myotubes and in mouse skeletal muscle. Biochemical pharmacology 164: 23–33, 2019. [DOI] [PubMed] [Google Scholar]
  • 234.Grunwald SA, Haafke S, Grieben U, Kassner U, Steinhagen-Thiessen E, and Spuler S. Statins aggravate the risk of insulin resistance in human muscle. International Journal of Molecular Sciences 23: 2398, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Allard NA, Schirris TJ, Verheggen RJ, Russel FG, Rodenburg RJ, Smeitink JA, Thompson PD, Hopman MT, and Timmers S. Statins affect skeletal muscle performance: evidence for disturbances in energy metabolism. The Journal of Clinical Endocrinology & Metabolism 103: 75–84, 2018. [DOI] [PubMed] [Google Scholar]
  • 236.Mikus CR, Boyle LJ, Borengasser SJ, Oberlin DJ, Naples SP, Fletcher J, Meers GM, Ruebel M, Laughlin MH, and Dellsperger KC. Simvastatin impairs exercise training adaptations. Journal of the American College of Cardiology 62: 709–714, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Sattar N, Preiss D, Murray HM, Welsh P, Buckley BM, de Craen AJ, Seshasai SR, McMurray JJ, Freeman DJ, Jukema JW, Macfarlane PW, Packard CJ, Stott DJ, Westendorp RG, Shepherd J, Davis BR, Pressel SL, Marchioli R, Marfisi RM, Maggioni AP, Tavazzi L, Tognoni G, Kjekshus J, Pedersen TR, Cook TJ, Gotto AM, Clearfield MB, Downs JR, Nakamura H, Ohashi Y, Mizuno K, Ray KK, and Ford I. Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. Lancet 375: 735–742, 2010. [DOI] [PubMed] [Google Scholar]
  • 238.Yoon JS, and Lee HW. Diabetogenic effect of statins: a double-edged sword? Diabetes & metabolism journal 37: 415, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Freeman DJ, Norrie J, Sattar N, Neely RDG, Cobbe SM, Ford I, Isles C, Lorimer AR, Macfarlane PW, and McKillop JH. Pravastatin and the development of diabetes mellitus: evidence for a protective treatment effect in the West of Scotland Coronary Prevention Study. Circulation 103: 357–362, 2001. [DOI] [PubMed] [Google Scholar]
  • 240.Zúniga-Hertz JP, Rebelato E, Kassan A, Khalifa AM, Ali SS, Patel HH, and Abdulkader F. Distinct pathways of cholesterol biosynthesis impact on insulin secretion. J Endocrinol 224: 75–84, 2015. [DOI] [PubMed] [Google Scholar]
  • 241.Shen L, Gu Y, Qiu Y, Cheng T, Nie A, Cui C, Fu C, Li T, Li X, and Fu L. Atorvastatin targets the islet mevalonate pathway to dysregulate mTOR signaling and reduce β-cell functional mass. Diabetes 69: 48–59, 2020. [DOI] [PubMed] [Google Scholar]
  • 242.Xia F, Xie L, Mihic A, Gao X, Chen Y, Gaisano HY, and Tsushima RG. Inhibition of cholesterol biosynthesis impairs insulin secretion and voltage-gated calcium channel function in pancreatic β-cells. Endocrinology 149: 5136–5145, 2008. [DOI] [PubMed] [Google Scholar]
  • 243.Curry L, Almukhtar H, Alahmed J, Roberts R, and Smith PA. Simvastatin inhibits L-type Ca2+-channel activity through impairment of mitochondrial function. Toxicological Sciences 169: 543–552, 2019. [DOI] [PubMed] [Google Scholar]
  • 244.Sadighara M, Amirsheardost Z, Minaiyan M, Hajhashemi V, Naserzadeh P, Salimi A, Seydi E, and Pourahmad J. Toxicity of atorvastatin on pancreas mitochondria: a justification for increased risk of diabetes mellitus. Basic & clinical pharmacology & toxicology 120: 131–137, 2017. [DOI] [PubMed] [Google Scholar]
  • 245.Urbano F, Bugliani M, Filippello A, Scamporrino A, Di Mauro S, Di Pino A, Scicali R, Noto D, Rabuazzo AM, Averna M, Marchetti P, Purrello F, and Piro S. Atorvastatin but Not Pravastatin Impairs Mitochondrial Function in Human Pancreatic Islets and Rat beta-Cells. Direct Effect of Oxidative Stress. Sci Rep 7: 11863, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Golomb BA, and Evans MA. Statin adverse effects : a review of the literature and evidence for a mitochondrial mechanism. Am J Cardiovasc Drugs 8: 373–418, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Ward NC, Watts GF, and Eckel RH. Statin toxicity: mechanistic insights and clinical implications. Circ Res 124: 328–350, 2019. [DOI] [PubMed] [Google Scholar]
  • 248.Mollazadeh H, Tavana E, Fanni G, Bo S, Banach M, Pirro M, von Haehling S, Jamialahmadi T, and Sahebkar A. Effects of statins on mitochondrial pathways. J Cachexia, Sarcopenia and Muscle 12: 237–251, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Godoy JC, Niesman IR, Busija AR, Kassan A, Schilling JM, Schwarz A, Alvarez EA, Dalton ND, Drummond JC, Roth DM, Kararigas G, Patel HH, and Zemljic-Harpf AE. Atorvastatin, but not pravastatin, inhibits cardiac Akt/mTOR signaling and disturbs mitochondrial ultrastructure in cardiac myocytes. FASEB J 33: 1209–1225, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Somers T, Siddiqi S, Maas RG, Sluijter JP, Buikema JW, van den Broek PH, Meuwissen TJ, Morshuis WJ, Russel FG, and Schirris TJ. Statins affect human iPSC-derived cardiomyocytes by interfering with mitochondrial function and intracellular acidification. Bas Res Cardiol 119: 309–327, 2024. [DOI] [PubMed] [Google Scholar]
  • 251.Shepherd J, Blauw GJ, Murphy MB, Bollen EL, Buckley BM, Cobbe SM, Ford I, Gaw A, Hyland M, Jukema JW, Kamper AM, Macfarlane PW, Meinders AE, Norrie J, Packard CJ, Perry IJ, Stott DJ, Sweeney BJ, Twomey C, Westendorp RG, and Risk PsgPSoPitEa. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet 360: 1623–1630, 2002. [DOI] [PubMed] [Google Scholar]
  • 252.Ray KK, Seshasai SR, Erqou S, Sever P, Jukema JW, Ford I, and Sattar N. Statins and all-cause mortality in high-risk primary prevention: a meta-analysis of 11 randomized controlled trials involving 65,229 participants. Arch Intern Med 170: 1024–1031, 2010. [DOI] [PubMed] [Google Scholar]
  • 253.Carter AA, Gomes T, Camacho X, Juurlink DN, Shah BR, and Mamdani MM. Risk of incident diabetes among patients treated with statins: population based study. Brit Med J 346: 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Morville T, Dohlmann T, Kuhlman AB, Monberg T, Torp M, Hartmann B, Holst JJ, Larsen S, Helge JW, and Dela F. Glucose homeostasis in statin users—The LIFESTAT study. Diabetes/Metabol Res Rev 35: e3110, 2019. [DOI] [PubMed] [Google Scholar]
  • 255.Voora D, Shah SH, Spasojevic I, Ali S, Reed CR, Salisbury BA, and Ginsburg GS. The SLCO1B1*5 genetic variant is associated with statin-induced side effects. J Am Coll Cardiol 54: 1609–1616, 2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Gutierrez J, Ramirez G, Rundek T, and Sacco RL. Statin therapy in the prevention of recurrent cardiovascular events: a sex-based meta-analysis. Arch Intern Med 172: 909–919, 2012. [DOI] [PubMed] [Google Scholar]
  • 257.Zhang H, Plutzky J, Shubina M, and Turchin A. Drivers of the Sex Disparity in Statin Therapy in Patients with Coronary Artery Disease: A Cohort Study. PLoS One 11: e0155228, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Raparelli V, Pannitteri G, Todisco T, Toriello F, Napoleone L, Manfredini R, and Basili S. Treatment and Response to Statins: Gender-related Differences. Curr Med Chem 24: 2628–2638, 2017. [DOI] [PubMed] [Google Scholar]
  • 259.Zaborowska M, Broniatowski M, Fontaine P, Bilewicz R, and Matyszewska D. Statin action targets lipid rafts of cell membranes: GIXD/PM-IRRAS investigation of Langmuir monolayers. J Physical Chem B 127: 7135–7147, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Lin X, Barravecchia M, Matthew Kottmann R, Sime P, and Dean DA. Caveolin-1 gene therapy inhibits inflammasome activation to protect from bleomycin-induced pulmonary fibrosis. Sci Rep 9: 19643, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Wang D, Chernov AV, Lam R, Wang H, Li W, Li X, Duong T, Wang S, and Head BP. Neuron-targeted caveolin-1 overexpression attenuates cognitive loss and pathological transcriptome changes in symptomatic Alzheimer’s disease models. Signal Transduct Target Ther 10: 172, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Su W, Zhang Y, Zhang Q, Xu J, Zhan L, Zhu Q, Lian Q, Liu H, Xia ZY, Xia Z, and Lei S. N-acetylcysteine attenuates myocardial dysfunction and postischemic injury by restoring caveolin-3/eNOS signaling in diabetic rats. Cardiovasc Diabetol 15: 146, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Farah C, Michel LYM, and Balligand JL. Nitric oxide signalling in cardiovascular health and disease. Nat Rev Cardiol 15: 292–316, 2018. [DOI] [PubMed] [Google Scholar]
  • 264.Wu J, Feng Y, Wang Y, He X, Chen Z, Lan D, Wu X, Wen J, Tsung A, Wang X, Ma J, and Wu Y. MG53 binding to CAV3 facilitates activation of eNOS/NO signaling pathway to enhance the therapeutic benefits of bone marrow-derived mesenchymal stem cells in diabetic wound healing. Int Immunopharmacol 136: 112410, 2024. [DOI] [PubMed] [Google Scholar]
  • 265.Meng Z, Zhang Z, Zhao J, Liu C, Yao P, Zhang L, Xie D, Lau WB, Tsukuda J, Christopher TA, Lopez B, Zhu D, Liu D, Zhang JR, Gao E, Ischiropoulos H, Koch W, Ma X, and Wang Y. Nitrative Modification of Caveolin-3: A Novel Mechanism of Cardiac Insulin Resistance and a Potential Therapeutic Target Against Ischemic Heart Failure in Prediabetic Animals. Circulation 147: 1162–1179, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266.Chen H, Chen C, Spanos M, Li G, Lu R, Bei Y, and Xiao J. Exercise training maintains cardiovascular health: signaling pathways involved and potential therapeutics. Signal Transduct Target Ther 7: 306, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 267.Gao G, Ren K, Chen L, Li X, Li Z, Liu Y, Ouyang C, Wang H, Nong L, and Xie H. Effects of periodic mechanical stress on cytoskeleton dependent lipid raft-induced integrin a1 activation in rat nucleus pulposus cells. J Mol Histol 54: 67–75, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 268.Ichikawa Y, Zemljic-Harpf AE, Zhang Z, McKirnan MD, Manso AM, Ross RS, Hammond HK, Patel HH, and Roth DM. Modulation of caveolins, integrins and plasma membrane repair proteins in anthracycline-induced heart failure in rabbits. PLoS One 12: e0177660, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 269.Israeli-Rosenberg S, Manso AM, Okada H, and Ross RS. Integrins and integrin-associated proteins in the cardiac myocyte. Circ Res 114: 572–586, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 270.Lei S, Li H, Xu J, Liu Y, Gao X, Wang J, Ng KF, Lau WB, Ma XL, Rodrigues B, Irwin MG, and Xia Z. Hyperglycemia-induced protein kinase C beta2 activation induces diastolic cardiac dysfunction in diabetic rats by impairing caveolin-3 expression and Akt/eNOS signaling. Diabetes 62: 2318–2328, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.Sun HJ, Xiong SP, Wu ZY, Cao L, Zhu MY, Moore PK, and Bian JS. Induction of caveolin-3/eNOS complex by nitroxyl (HNO) ameliorates diabetic cardiomyopathy. Redox Biol 32: 101493, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Abel ED. Insulin signaling in the heart. American journal of physiology 321: E130–E145, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 273.Murfitt L, Whiteley G, Iqbal MM, and Kitmitto A. Targeting caveolin-3 for the treatment of diabetic cardiomyopathy. Pharmacol Ther 151: 50–71, 2015. [DOI] [PubMed] [Google Scholar]

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