Effects of Hyperglycemia on Vascular Smooth Muscle Ca<sup>2+</sup> Signaling

El-Najjar, Nahed; Kulkarni, Rashmi P.; Nader, Nancy; Hodeify, Rawad; Machaca, Khaled

doi:https://doi.org/10.1155/2017/3691349

BioMed Research International

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Cardiac Complications of Diabetes

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Research Article | Open Access

Volume 2017 | Article ID 3691349 | https://doi.org/10.1155/2017/3691349

Effects of Hyperglycemia on Vascular Smooth Muscle Ca²⁺ Signaling

Nahed El-Najjar,¹Rashmi P. Kulkarni,¹Nancy Nader,¹Rawad Hodeify,¹and Khaled Machaca¹

Academic Editor: Marwan Refaat

Received04 Dec 2016

Accepted24 May 2017

Published21 Jun 2017

Abstract

Diabetes is a complex disease that is characterized with hyperglycemia, dyslipidemia, and insulin resistance. These pathologies are associated with significant cardiovascular implications that affect both the macro- and microvasculature. It is therefore important to understand the effects of various pathologies associated with diabetes on the vasculature. Here we directly test the effects of hyperglycemia on vascular smooth muscle (VSM) Ca²⁺ signaling in an isolated in vitro system using the A7r5 rat aortic cell line as a model. We find that prolonged exposure of A7r5 cells to hyperglycemia (weeks) is associated with changes to Ca²⁺ signaling, including most prominently an inhibition of the passive ER Ca²⁺ leak and the sarcoplasmic reticulum Ca²⁺-ATPase (SERCA). To translate these findings to the in vivo condition, we used primary VSM cells from normal and diabetic subjects and find that only the inhibition of the ER Ca²⁺ leaks replicates in cells from diabetic donors. These results show that prolonged hyperglycemia in isolation alters the Ca²⁺ signaling machinery in VSM cells. However, these alterations are not readily translatable to the whole organism situation where alterations to the Ca²⁺ signaling machinery are different.

1. Introduction

Diabetes is a complex multifactorial disease characterized by the onset of dyslipidemia, early hyperinsulinemia, and hyperinsulinemia, followed by pancreatic β-cell failure leading to hyperglycemia and insulin resistance [1–3]. This imbalance is associated with long-term complications and injury to multiple particularly susceptible organ systems, including the eye (retinopathy), kidney (nephropathy), peripheral nervous system (neuropathy), heart, and the vasculature (cardiovascular disease) [4]. There is significant evidence in the literature in both humans and animal models in support of the hypothesis that these pathologies are at least in part associated with the lack of glycemic control [4–6]. However, in addition to hyperglycemia, diabetes is associated with dyslipidemia, hyperinsulinemia, and increase reactive oxygen species [7]. This makes assignment of complications to a specific dysregulation at the whole organism level problematic.

Morbidity and mortality of individuals with diabetes result mainly from vascular dysfunction (VD) [3, 8–11]. Vascular complications associated with diabetes are divided into macrovascular complications, which include atherosclerosis, coronary artery disease, peripheral vascular disease, and microvascular complications such as retinopathy, nephropathy, and neuropathy [12–14]. Endothelial dysfunction plays an important role in vascular complications during diabetes [7]. Although in diabetes the mechanism of VD is complex and multifactorial involving multiple pathways [9, 13, 15, 16], chronic hyperglycemia is an important contributor to this process [3, 9, 10, 17].

Vascular smooth muscle (VSM) cells, existing in a differentiated quiescent state in the blood vessel wall, have a large repertoire of ion channels, receptors, signaling molecules, and contractile proteins essential for their contractile function [18, 19]. Because VSM contraction is dependent on a rise of cytoplasmic Ca²⁺ levels changes in VSM Ca²⁺ signaling have significant impact on determining vascular tone and peripheral resistance as both are dependent on resistance arteries diameter [20]. Consequently, any damage/modifications in the activity of key players involved in Ca²⁺ homeostasis are likely to be associated with VD. VSM cells play a key role in hyperglycemia-induced VD, including hypertension. Several lines of evidence suggest that oxidative stress caused by hyperglycemia provokes molecular pathologies that contribute to VD, leading to increased risk of adverse cardiovascular disease associated with diabetes [3, 10–12, 21–28]. Reactive oxygen species (ROS) are instrumental regulators of intracellular Ca²⁺ homeostasis and influence several other intracellular signaling pathways [29, 30]. Even though ROS generation is highly controlled in the vasculature, under physiological conditions, an increase in ROS generation under pathologic conditions contributes to vascular damage and cardiovascular disease [29]. Hyperglycemia-induced ROS is considered an important link between hyperglycemia and pathways of diabetic-related vascular complications [8, 16]. This is due to the fact that hyperglycemia-induced ROS is capable of damaging DNA and proteins and of inducing lipid peroxidation [23, 29]. This latter pathology affects ion transport across the cell membrane through two possible mechanisms: () inducing nonspecific leak of ions through the lipid bilayer and/or () modifying the physical properties of phospholipids in a way that alters the function of channels, pumps, and exchangers that are embedded within the lipid bilayer [29, 30]. For instance, inhibition of the sarcoplasmic/endoplasmic reticulum ATPase (SERCA) pump by hyperglycemia-induced ROS production results in an increase in intracellular Ca²⁺ [10]. This increase plays a role in the pathogenesis of vascular dysfunction by enhancing VSM cell migration [9, 10, 15]. The rat aortic cell line, A7r5, is a useful model for studying the effects of hyperglycemia on VSM function especially in the context of Ca²⁺ signaling since these cells have the complement of Ca²⁺ channels and pumps activities observed in freshly dispersed VSM cells [20, 31–33]. Searls et al. showed that in contrast to the defects observed in diabetic mice Ca²⁺ signaling pathways in A7r5 cells were not affected when the cells were shifted for short term from the physiological 5 mM glucose to the glycemic 25 mM and supraphysiological glucose 75 mM concentration was needed to see a significant effect [34].

Based on these findings our goal from the present work was to investigate the effect of prolonged exposure to high glucose levels on Ca²⁺ homeostasis in the A7r5 VSM cell line to better understand the potential pathology of hyperglycemia on the Ca²⁺ signaling machinery of VSM and potential implications on cardiovascular disease.

2. Materials and Methods

2.1. Materials

Dulbecco’s modified Eagle’s medium (DMEM), sodium pyruvate, penicillin/streptomycin, fetal bovine serum (FBS), phosphate-buffered saline (PBS), Trypsin/EDTA, N-acetyl-cysteine (NAC), mannitol, and phenylephrine (PE) were from Sigma Aldrich, St. Louis, MO, USA. Dimethylsulfoxide (DMSO) was obtained from Amresco (Amresco, USA). Thapsigargin (TG) was from Invitrogen and ionomycin was from Life Technologies.

2.2. Cell Culture

The embryonic rat aortic smooth muscle A7r5 cells (ATCC, Manassas, Virginia, USA) were grown, as recommended, in DMEM-high glucose (HG: 4.5 g/l equivalent to 25 mM), supplemented with 1% penicillin/streptomycin, 1% sodium pyruvate, and 10% FBS. To test the effect of glucose on the proliferation, metabolic activity, and Ca²⁺ signaling pathways in A7r5 cells, cells already cultured in HG (25 mM glucose) were shifted to DMEM-normal glucose (NG: 1 g/l equivalent to 5.5 mM) for more than 4 weeks. To rule out the osmotic effect induced by glucose, cells cultured in NG were shifted, for more than 4 weeks, to NG supplemented with mannitol (19.5 mM), a nonmetabolizable sugar. Cells were maintained at 37°C in a humidified atmosphere of 5% CO₂ and 95% air. Throughout the manuscript, cells cultured under DMEM-HG, DMEM-NG, and DMEM-NG with mannitol are refereed to, respectively, as HG, NG, and OC streams. Primary human, aortic smooth muscle cells, from normal (NHVSMC) and diabetic (DHVSMC) individuals, were obtained from Lonza Walkersville (Walkersville, MD). Cells were grown, as recommended in smooth muscle basal medium supplemented with 5% FBS and a cocktail of different cytokines and growth factors obtained from Lonza Walkersville (Walkersville, MD). ReagentPack™ Subculture (kits including Trypsin/EDTA, Trypsin neutralizing solution, and HEPES buffered saline) designed specifically for the passaging of primary cell types was obtained from Lonza Walkersville (Walkersville, MD). Cells were maintained at 37°C in a humidified atmosphere of 5% CO₂ and 95% air.

2.3. Cell Proliferation

The proliferation of A7r5 cells was determined using trypan blue dye exclusion counting using TC10 automated cell counter (Bio-Rad, CA, USA).

2.4. WST-1 Metabolic Activity Assay

To test whether the concentration of glucose affects the metabolic activity of the cells, A7r5 cells from HG, NG, and OC streams were plated, at equal density, in 96-well plates and shifted to HG or NG according to the followings: (NG:NG, NG: shifted to HG); (HG:HG, HG: shifted to NG), and (OC:OC, OC: shifted to HG). Three hours after plating the metabolic activity of the cells was evaluated by using the WST-1 (4-[3-(4-iodophenyl)-2-(4-nitrophenyl)-2H-5-tetrazolio]-1,3-benzenedisulfonate) assay (Roche Diagnostics GmbH, Mannheim, Germany). Using this assay, the ability of the cells to cleave by mitochondrial dehydrogenases the WST-1 tetrazolium salt to the red colored formazan allows assessing the metabolic activity of the cells under different glucose concentration. The absorbance was measured at 440 nm using Envision 2104 Multilabel Reader (Perkin Elmer, Massachusetts, USA).

2.5. Intracellular Calcium Measurements

A7r5 cells were cultured on 35 mm poly-d-lysine coated glass coverslips (MatTek corp, MA) and incubated in their respective media at 37°C. When 60–70% confluent, A7r5 cells were loaded with 2 μM Fura-2AM (Invitrogen, NY, USA) for 30 min at 37°C. After incubation, cells were washed with PBS and incubated with Ca²⁺ containing Ringer buffer for 10 min at room temperature (RT) before analysis. The Ca²⁺ containing Ringer buffer contained (in mM) 120 NaCl, 5.0 KCl, 1.0 MgCl₂, 2.0 CaCl₂, 5.5 glucose, and 20 HEPES (pH 7.4). In Ca²⁺ free Ringer buffer, CaCl₂ was replaced with equimolar MgCl₂. For experiments that required low Na⁺, Ringer buffer NaCl was replaced with equimolar amount of N-methyl-D-glucamine (NMDG⁺). The imaging system included inverted epifluorescence microscope (Olympus IX71, PA) connected to a CoolSNAP HQ2 charged coupled device (CCD) camera. Image acquisition was performed using EasyRatioPro calcium imaging system (PTI, NJ).

Changes in cytosolic Ca²⁺ level were determined from the ratio of Fura-2AM fluorescence emission intensities following excitation at 340 and 380 nm.

2.6. Vascular Smooth Muscle Cells Contraction

Assessment of cell contraction was performed on A7r5 cells cultured on glass coverslips. Cells were washed with prewarmed Ca²⁺/Mg²⁺-free PBS and incubated in HBS for 10 min prior to live cell imaging. Cell contraction was visualized using an inverted microscope (Olympus, Japan) equipped with a LucPlan FLN 40x/0.60 objective. Images were acquired with a CCD camera (Olympus DP72, Germany) and processed using DP2-BSW software (Olympus Soft Imaging Solutions, Germany). Cell contraction was quantified by morphometric analysis using NIH software (ImageJ). Briefly, addition of 20 mM KCl induces the formation of contractile fibers that appears as protruded edges on the surface of contracted cells. To quantify contractile responses to KCl, contractile fibers were quantified using the edge detection function in ImageJ on thresholded time-lapse images.

2.7. Intracellular ROS Generation by DCFH

To test whether cells cultured under HG have higher reactive oxygen species (ROS) level than those cultured in NG and OC media, the level of ROS in cells cultured in media with different glucose concentration was examined using 2′,7′dichlorodihydrofluorescein diacetate (DCFH-DA) (Acros Organics, New Jersey, USA). In this assay, the DCFH-DA molecule passively diffuses into the cells and is cleaved and oxidized in the intracellular environment by ROS to the green fluorescence emitting compound, 2′,7′-dichlorofluorescein (DCF). Briefly, cells from HG, NG, and OC streams were plated, at equal density, in 96-well plates and after overnight starvation in 1% FBS, cells were incubated with 100 μM DCFH-DA prepared in PBS at 37°C. 30 min after incubation, cells were shifted to HG, NG, or OC for an additional 30 min. Hydrogen peroxide (H₂O₂) (Sigma Aldrich, St. Louis, MO, USA) was used at 250 μM as a positive control. DCF fluorescence was then determined, after cells lysis in 90% DMSO/10% PBS for 10 min in the dark, using a fluorescent plate reader (Envision 2104 Multilabel Reader, PerkinElmer, Massachusetts, USA) with 485 nm excitation and 520 nm emission wavelengths.

2.8. Western Blot Analysis

Total protein from HG, NG, and OC streams was extracted using RIPA buffer (Sigma Aldrich, St. Louis, MO, USA) supplemented with phosphatase and protease inhibitors. Protein extracts were quantified using Bradford method using Bio-Rad Protein Assay Dye Reagent (Bio-Rad, CA, USA) according to the manufacturer’s protocol. Protein samples were mixed, respectively, with 10% and 25% of reducing agent and LDS buffer containing bromophenol blue for gel electrophoresis (Invitrogen, Carlsbad, CA, USA). An equal amount of protein lysate was subjected to gel electrophoresis on NuPAGE Bis-Tris or Tris-Acetate Gels (Invitrogen, Carlsbad, CA, USA) for 50 min at 200 V. Proteins were then transferred to a PVDF transfer membrane (Kisher Biotech, Germany) at 30 V for 30 min. After transfer, membranes were immunoblotted with the following primary antibodies: PMCA1, PMCA 4, and PMCA total (Affinity Bioreagents, Rockford, IL), SERCA 2 (Thermo Scientific, Pierce antibodies, Rockford, IL, USA), NCX1 (Swant, Bellinzona, Switzerland), STIM1 (Cell Signaling, Beverly, USA), Orai1 (Proteintech, USA), and IP3R1 (Millipore, USA). β-Actin, α-tubulin, and the secondary antibodies were from Sigma Aldrich (Sigma Aldrich, St. Louis, MO, USA). Following incubation with secondary antibodies, membranes were reacted with enhanced chemiluminescence western blot detection reagent (Amersham, GE Healthcare, UK). The luminescent reactivity was then measured using an image acquisition system, Gene SNAP, Geliance 600 Imaging system (Perkin Elmer, Massachusetts, USA). All membranes were stripped with Restore Plus Western Blot Stripping Buffer (Thermo Scientific, Rockford, IL, USA) and equal loading was then verified through reprobing the membranes with ß-actin/α-tubulin. Further densitometry analysis was performed using Gene Tools, Geliance 600 Imaging system (Perkin Elmer, Massachusetts, USA).

2.9. RNA Extraction and Real-Time PCR

RNA was extracted from A7r5 cells cultured in HG, NG, and OC using Qiagen RNAeasy extraction kit (Hilden, Germany) and reversed transcribed using High-Capacity cDNA reverse transcription kit (Applied Biosystems (AB)), all following the manufacturer’s instructions. Quantitative real-time reverse transcriptase (qRT-PCR) was used to analyze the expression of the following genes (PMCA1, PMCA4, SERCA1, and SERCA2) using 2 μL of template cDNA. α-Actin was used as housekeeping gene. Quantitect primers were obtained from Qiagen (Hilden, Germany). qRT-PCR was performed with the Fast SYBR Green Master Mix (2x) according to the manufacturer’s instructions. Each PCR generated only the expected amplicon as shown by the negative first-deviation plots of the melting curve. Results were normalized to noninduced housekeeping gene-levels. Samples were analyzed in duplicate from three independent experiments.

2.10. Statistical Analysis

Results are presented as error of the mean (SE) from at least three independent experiments done each in triplicate. Comparison between the different groups was done using Nonparametric/Kruskal-Wallis test using IBM SPSS Statistics 23 software. The level of significance was set at 0.05.

3. Results

3.1. Long-Term Adaptation of A7r5 to Low or High Glucose Culture Conditions

A7r5 rat aortic smooth muscle cells are typically cultured in high glucose concentration of 25 mM. This concentration is hyperglycemic (HG) as the level of glucose in the blood of diabetic rats is around 17 mM, in contrast to the normoglycemic (NG) levels of 5.5 mM [34]. To begin to characterize the effect of hyperglycemia on Ca²⁺ signaling in VSM cells, we switched A7r5 cells initially cultured in HG to NG for up to 72 h and tested various Ca²⁺ signaling modalities, including basal Ca²⁺ levels, store-operated Ca²⁺ entry (SOCE), Ca²⁺ decay, and Ca²⁺ release but could not detect any alterations in Ca²⁺ signaling that correlate with the medium glucose concentrations (Supplemental Data, Figure 1, in Supplementary Material available online at https://doi.org/10.1155/2017/3691349). This data is in accordance with the study by Searls et al., who failed to show significant effect on Ca²⁺ when glucose levels were switched for a short time between 5 and 25 mM, prompting them to switch to 75 mM for short-term studies to replicate effect observed in diabetic mice [34].

Because complications associated with diabetes manifest themselves over prolonged periods of time (years in humans), we were interested in determining whether long-term exposure of VSM cells to HG concentrations affects Ca²⁺ signaling. We therefore incubated A7r5 cells for a minimum of 4 weeks in physiological glucose (5.5 mM) to mirror normoglycemia (NG) in the animal. Once cells were switched to the NG stream they were maintained under these culture conditions for the duration of the study. Alternatively another stream of A7r5 cells was cultured in 25 mM glucose representing the hyperglycemic group (HG). In addition, an osmotic control for the HG treatment was included (OC), where NG was supplemented with 19.5 mM mannitol, to separate effects due to hyperglycemia from those resulting from changes due to osmolarity at the high glucose concentrations.

Surprisingly, long-term incubation of A7r5 cells in NG or HG does not significantly alter their proliferation rate (Figure 1(a)). This is likely due to the adaptation of the cells to the level of glucose used. In contrast, switching cells to different glucose concentrations results in small but detectable and statistically significant differences in their metabolic activity (Figure 1(b)). When A7r5 cells were shifted from NG or OC streams to HG for 3 h, this was associated with higher metabolic activity () as compared to their respective controls. Similarly, when A7r5 cells were transferred from the HG stream to NG, they exhibited lower metabolic activity (). Furthermore, long-term incubation of A7r5 cells under the different streams NG, HG, or OC does not alter their basal resting cytoplasmic Ca²⁺ levels measured using Fura-2AM in Ca²⁺-free or Ca²⁺-containing extracellular solution (Figure 1(c)). We also measured intracellular store Ca²⁺ content in A7r5 cells cultured in the different streams using the ionomycin releasable Ca²⁺ pool in Ca²⁺-free media as illustrated in Figure 1(d). Ionomycin is a Ca²⁺ ionophore that is inserted into the lipid bilayer and nonspecifically equilibrates Ca²⁺. As such in Ca²⁺-free media, it releases Ca²⁺ trapped in intracellular stores such as the endoplasmic reticulum (ER). Incubating A7r5 cells in different glucose concentrations for extended time periods does not alter intracellular Ca²⁺ store content (Figures 1(d) and 1(e)).

Figure 1

Effect of glucose on proliferation, basal Ca²⁺, and store Ca²⁺ content in A7r5 VSM cells. Proliferation (a), metabolic activity (b), basal Ca²⁺ level (c), and Ca²⁺ store content (d-e) were tested. Proliferation of A7r5 cells cultured under HG and NG was determined, 24 and 48 h after plating, using trypan blue dye exclusion counting (a). Metabolic activity of A7r5 cells from the different groups (HG, NG, and OC) shifted to HG or NG, measured 3 h later using the WST-1 assay (b). For basal Ca²⁺ levels and store content, cells cultured under HG, NG, or OC were loaded with Fura2-AM (2 μM for 30 min) and the extent of Ca²⁺ release was determined following treatment of the cells with 2 μM ionomycin (d-e). Data are presented as mean ± SE from at least three independent experiments done each in triplicate. .

Phenylephrine (PE) is an α-adrenergic receptor agonist that couples to trimeric G-proteins to activate phospholipase C (PLC) and generate inositol 1,4,5-triphosphate receptor (IP₃). IP₃ in turn binds to IP₃ receptors (IP₃Rs) on the ER membrane to gate them open and release intracellular Ca²⁺. The maximum levels of PE-induced Ca²⁺ release in cells cultured under the different glucose conditions were not statistically different arguing that the signal transduction cascade downstream of PE is not altered significantly when cells are cultured under hyperglycemia conditions (Figures 2(a) and 2(b)). Therefore, dramatic changes in the activity of the α-adrenergic receptor, G-proteins, or PLC are unlikely. Furthermore, protein levels of the IP₃Rs are similar among the three tested streams (NG. HG, and OC) (Figure 2(c)), showing that glucose levels do not affect IP₃Rs expression levels.

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Figure 2

Effect of glucose normalization on Ca²⁺ release in A7r5 VSM cells. PE induced Ca²⁺ release (a, b) and IP3R expression (c) in response to different glycemic conditions. Cells cultured under HG, NG, or OC were loaded with Fura-2AM and Ca²⁺ transients imaged following exposure to different concentrations of PE (1–20 μM) (a, b). IP3R expression from cells cultured under HG, NG, and OC was determined by western blot analysis and quantified, as described in Materials and Methods (c). Data are presented as mean ± SE from at least three independent experiments done each in triplicate.

3.2. Store-Operated Ca²⁺ Entry (SOCE)

Agonist-mediated release of intracellular Ca²⁺ results in store depletion and the activation of a ubiquitous Ca²⁺ influx pathway known as store-operated Ca²⁺ entry (SOCE) [35]. This pathway is activated through the consorted action of two essential molecules: Orai1, a highly selective Ca²⁺ channel at the plasma membrane, and STIM1, a single pass ER membrane protein [36, 37]. The luminal domain of STIM1 has an EF-hand motif that senses Ca²⁺ store content [38, 39]. Ca²⁺ release in response to agonist stimulation lowers Ca²⁺ store content, which results in STIM1 oligomerization and its translocation to subplasma membrane cortical ER domains; where it recruits Orai1 and gates it open allowing Ca²⁺ influx [40–44]. Consequently, SOCE maintains Ca²⁺ homeostasis by ensuring the replenishment of the ER Ca²⁺ stores following store depletion.

To evaluate the effect of glucose on SOCE in A7r5 cells, we measured SOCE levels using the classical Ca²⁺ readdition protocol after store depletion. For this assay Ca²⁺ stores were depleted with thapsigargin (TG), a specific nonreversible inhibitor of the sarcoplasmic reticulum Ca²⁺ ATPase (SERCA) that blocks store refilling and leads to store depletion due to an ill-defined continuous Ca²⁺ leak from the ER. Store depletion was performed in Ca²⁺-free conditions after which cells were switched to Ca²⁺-containing medium, which results in Ca²⁺ influx mediated by SOCE (Figure 3(a)). Incubation of A7r5 cells under hyperglycemic conditions results in a small but statistically significant decrease in SOCE () (Figures 3(a) and 3(b)). A similar decrease in SOCE levels has been also observed in cells cultured under high osmolarity (OC) (), which mimic the osmotic conditions resulting from increased glucose levels in HG medium (Figure 3(b)). This argues that inhibition of SOCE under HG conditions is independent of glucose and likely due to the increased osmolarity.

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Figure 3

Effect of glucose Ca²⁺ influx in A7r5 VSM cells. Effect of HG and NG on store-operated Ca²⁺ entry (SOCE) (a, b) and on protein expression of STIM and Orai1 (c-d). Cells were loaded with Fura2-AM and SOCE stimulated after store depletion with 1 μM thapsigargin (TG), an irreversible inhibitor of SERCA (a, b). Protein expression of STIM and Orai1 was determined between the different groups by western blot (c-d). Densitometry analysis was performed using Gene Tools, Geliance 600 Imaging system. Data are presented as mean ± SE from at least three independent experiments done each in triplicate. ; NS: not significant.

We further tested the expression levels of the two primary SOCE proteins Orai1 and STIM1. Western blot analysis of A7r5 cells cultured under NG, HG, or OC shows that the expression levels of both STIM1 (Figure 3(c)) and Orai1 (Figure 3(d)) are not significantly different between the three groups. These results argue that extracellular glucose concentrations do not affect SOCE protein expression levels or SOCE activity.

3.3. Voltage Gated Ca²⁺ Channels (VGCC)

It is well established that Ca²⁺ entry through VGCCs, specifically the L-type Ca²⁺ channel, is important for VSM contractility and for regulating the myogenic response in resistance arteries [45–49]. Therefore, modulation of VGCC’ activity could impact VSM contractility and function. In order to test the effects of extracellular glucose on VGCC we measured Ca²⁺ influx following a depolarization stimulus with KCl (Figure 4(a)). We could not observe any changes in the Ca²⁺ influx through VGCC, evaluated by measuring the peak amplitudes of KCl-induced Ca²⁺ transient (Figures 4(a) and 4(b)). As expected, the NaCl osmotic control did not stimulate Ca²⁺ influx as compared to KCl depolarization (Figure 4(b), black bars). To investigate whether glucose levels affect VSM contractility in response to Ca²⁺ influx through VGCC, we measured the contractility of A7r5 cells in response to KCl-induced depolarization (Figure 4(c)). As A7r5 cells are adherent, it is difficult to use cell shortening as a measure of contractility. However, contractile fibers, formed in cells stimulated with an agonist or with any Ca²⁺ mobilizing agent, are readily visible under light microscopy. Consequently, we used the previously described imaging approach that enables relative quantification of contractility [50]. Depolarization-induced contraction was similar among the three different groups (Figures 4(c) and 4(d)). These data are in agreement with the conclusion that glucose levels do not modulate the activity of VGCC or the resultant VSM contractions.

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Figure 4

Effect of glucose on voltage gated channels (VGCC) in A7r5 VSM cells. Ca²⁺ transients (a, b) and VSM contraction (c, d) in response to a 20 mM KCl depolarizing pulse to activate VGCC in A7r5 cells. Cytosolic Ca²⁺ transients in Fura2-AM loaded A7r5 cells, cultured under HG, NG, and OC in response to 20 mM KCl (a, b). Effect of glucose normalization on A7r5 cells contractility in response to 20 mM KCl was determined as described in Materials and Methods. Max contraction is presented after normalization to basal level (c, d). Data are presented as from at least three independent experiments done each in triplicate. ; NS: not significant.

3.4. Ca²⁺ Leak from the Endoplasmic Reticulum (ER)

Thapsigargin (TG) inhibition of the SERCA pump on the ER membrane demonstrates the presence of a passive leak pathway from the ER. The molecular mechanisms controlling this ER leak pathway remain controversial with roles proposed for the IP₃Rs, presenilins, and the translocon machinery at the ER membrane as potential pathways [51–53]. In order to test whether the ER Ca²⁺ leak is altered in A7r5 cells cultured in HG, the maximum values and the time to half-max for the Ca²⁺ transient induced following treating cells with TG were measured in Ca²⁺-free Ringer buffer as illustrated in Figure 5(a). Under all three conditions NG, HG, and OC, the peak of the TG-induced Ca²⁺ transient was similar (Figure 5(b)), which is consistent with the ionomycin data (Figure 1(e)). These data show that Ca²⁺ store content is similar under all three conditions. In contrast, the time to reach half-max is significantly slower () in cells grown under HG as compared to NG and OC (Figure 5(c)). Because the rise of the Ca²⁺ transient is partially dependent on Ca²⁺ leak from the ER, this argues that ER Ca²⁺ leak is inhibited when cells are cultured in HG.

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Figure 5

Effect of glucose on Ca²⁺ leak and Ca²⁺ extrusion in A7r5 VSM cells. A7r5 cells, cultured under HG, NG, and OC, were loaded with Fura2-AM and passive leak was monitored after store depletion with 1 μM thapsigargin (TG), an irreversible SERCA inhibitor (a). Peak amplitude in response to TG (TG max release) and the time to maximum release are shown (b, c). Ca²⁺ extrusion, which is presumed to be due to the combined activity of PMCA and NCX, was monitored as the decay of the TG-induced Ca²⁺ transient in Ca²⁺ free conditions to avoid Ca²⁺ influx. To inhibit NCX, sodium was replaced with equimolar concentration of N-methyl-D-glucamine (d-e). Time to half () decay was then measured and compared between the different conditions (d-e). Data are presented as mean ± SE from at least three independent experiments done each in triplicate. .

3.5. Ca²⁺ Extrusion: Plasma Membrane Ca²⁺-ATPase (PMCA) and the Na⁺-Ca²⁺-Exchanger (NCX)

The plasma membrane Ca²⁺-ATPase (PMCA) and the sodium/calcium exchanger (NCX) are the primary mechanisms for Ca²⁺ extrusion out of the cell to maintain cytosolic Ca²⁺ homeostasis. To test whether Ca²⁺ extrusion is altered when cells are cultured under hyperglycemia condition, we used TG-dependent Ca²⁺ release in Ca²⁺-free conditions and calculated the rate of decay of the Ca²⁺ transient as a measure of Ca²⁺ extrusion out of the cell (Figure 5(a)). Under these conditions, Ca²⁺ influx is absent in Ca²⁺-free solution and Ca²⁺ reuptake into the ER is blocked by SERCA. Therefore, the only mechanisms that can lower cytoplasmic Ca²⁺ levels are the Ca²⁺ extrusion pathways. As such, the rate of decay of the Ca²⁺ transient under this experimental paradigm offers a measure of Ca²⁺ extrusion. To further differentiate between PMCA and NCX we performed these experiments under normal extracellular Na⁺ concentrations or with Na⁺ replaced with NMDG to inhibit the activity of NCX (Figures 5(d) and 5(e)). NCX uses the Na⁺ gradient across the cell membrane to extrude Ca²⁺ against its concentration gradient; therefore, in the absence of extracellular Na⁺, NCX activity is blocked. NCX in the absence of extracellular Na⁺ could run in reverse mode, thus transporting Ca²⁺ into the cell. However, this is unlikely to contribute under these experimental conditions since cells are incubated in Ca²⁺-free solutions.

The rate of Ca²⁺ extrusion in Na⁺-containing or NMDG solutions was similar for each glucose treatment (NG, HG) and for the osmotic control (OC), arguing that the primary Ca²⁺ extrusion pathway in A7r5 cells is PMCA (Figure 5(e)). However, incubating cells in HG for prolonged periods of time leads to a small but significant increase in PMCA activity (), revealed as a faster decay to half-max () (Figure 5(e)). Consistent with the functional data, NCX protein expression was not statistically different between the different groups (Figures 6(a) and 6(b)), supporting the conclusion that the differential activity observed is due to enhanced PMCA activity. To determine if this increase is due to an increase in PMCA mRNA or protein expression, we focused on the two PMCA isoforms known to be expressed in VSM cells, PMCA1 and PMCA4 [54]. Western blot analyses show an increase in total PMCA protein levels in the HG cultures, that is due to PMCA4 () but not PMCA1 increased protein expression levels (Figures 6(c) and 6(d); Supplemental Figure 2). In contrast, quantitative RT-PCR show no change in PMCA1 and PMCA4 mRNA levels between the different groups (Figure 6(e)).

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Figure 6

Effect of glucose on PMCA and NCX expression in A7r5 VSM cells. The protein expression of PMCA (total, isoform 1, and isoform 4) and NCX (full length: NCX 120 and proteolytic fragment: NCX 70) were compared in A7r5 cells cultured under HG, NG and OC by western blot analysis (a, c). Densitometry analysis was performed using Gene Tools, Geliance 600 Imaging system (b, d). Gene expression of PMCA 1 and 4 was monitored by quantitative RT-PCR (e). Data are presented as from at least three independent experiments done each in triplicate. ; NS: not significant.

3.6. Sarcoplasmic Reticulum Ca²⁺-ATPase (SERCA)

To test for changes in the activity of the SERCA pump, which is responsible for Ca²⁺ store refilling after a Ca²⁺ transient, we released Ca²⁺ from intracellular store using phenylephrine and then at the peak of the Ca²⁺ transient a high concentration of lanthanum (La³⁺, 1 mM) was added to block both Ca²⁺ influx from the extracellular space and Ca²⁺ extrusion pathways [55]. Under these conditions where Ca²⁺ extrusion is blocked the decay kinetics of the Ca²⁺ signal back to baseline reflect SERCA activity (Figure 7(a)). Interestingly, the half-time of decay of the Ca²⁺ signal is significantly longer in cells incubated in HG conditions as compared to NG or OC conditions () (Figures 7(a) and 7(b)). This shows that SERCA activity is inhibited when cells are cultured in HG conditions for extended time periods. Inhibition of SERCA activity is coupled to a small decrease in SERCA2 protein expression levels in HG culture conditions (Figures 7(c) and 7(d)). However, no changes in SERCA2 mRNA levels were detected (Figure 7(e)).

(a)

(b)

(c)

(d)

(e)

(f)

(g)

Figure 7

Effect of glucose on sarcoplasmic reticulum ATPase (SERCA) activity in A7r5 VSM cells. A7r5 cells, cultured under HG, NG, and OC, were loaded with Fura2-AM and cytosolic Ca²⁺ was monitored following treatment with 20 μM PE and 1 mM lanthanum chloride (La³⁺) at the time points indicated by the respective arrows (a). Time to half decay after the La³⁺ treatment was then measured and compared between the different conditions (b). Protein and gene expression of SERCA from A7r5 cells cultured under the different condition were determined by western blot and real-time PCR, respectively (c–e). Effect of NAC on HG-induced SERCA compromised activity was determined in A7r5 cells cultured in the presence of NAC for 2 weeks prior to the determination of SERCA activity (f). The effect of HG on ROS generation in cells shifted for 30 min from NG and OC to HG and from HG to NG (g) was measured by the DCFH assay. Data are presented as from at least three independent experiments done each in triplicate. .

Several lines of evidence support the idea that hyperglycemia induces its damaging effect on SERCA through ROS generation. To validate this hypothesis in our system, A7r5 cells were cultured in HG, NG, or OC in the presence or absence of N-acetyl-cysteine (NAC), a universal radical scavenger, for 2 weeks. Figure 7(f) shows that NAC significantly () restores HG-induced SERCA compromised activity while no effect was seen on cells grown in NG or OC. These data confirm that oxidative stress is responsible for the decrease in SERCA activity of cells grown under HG. To further confirm the involvement of HG in ROS generation, intracellular ROS levels were determined using the ROS-sensitive fluorescence-generating probe DCF-DA assay. This assay shows that 30 min exposure to HG of cells already grown in NG or OC is sufficient to significantly () increase ROS generation (Figure 7(g)).

3.7. Human Diabetic VSM Cells

To test whether the changes observed in the A7r5 model of cells cultured under hyperglycemic conditions apply to human VSM cells under diabetic conditions, we obtained primary aortic VSM cells from normal (NHVSMC) and diabetic (Type 2) individuals (DHVSMC) (Lonza, Walkersville, MD). Cells from normal and diabetic individuals were cultured in media containing NG levels (5.5 mM) supplemented with FBS and all necessary cytokines and growth factor as recommended by the supplier. Each batch of cells (normal and diabetic) was used within two weeks of culture. Cells were cultured in normal glucose levels to focus specifically on changes to the Ca²⁺ signaling machinery due to persistent irreversible damage as a result of diabetes and not to the culturing conditions. We used this approach based on the findings from the A7r5 model where alterations in Ca²⁺ signaling were observed only after prolonged exposure to hyperglycemia, strongly arguing that they are due to long lasting modifications.

We applied the same approaches described above for A7r5 cells to test for changes in the Ca²⁺ signaling machinery in VSM cells from normal and diabetic individuals. No changes in proliferation rate (Figure 8(a)), basal Ca²⁺ levels (Figure 8(b)), or VSM contraction in response to a KCl depolarization (Figure 8(e)) were observed between cells from normal and diabetic individuals. In contrast, a significant increase () in Ca²⁺ store content, based on the ionomycin releasable pool method, was detected in cells from diabetic individuals as compared to the normoglycemic control (Figure 8(c)). This increased store content was associated with a significant decrease () in SOCE in diabetic VSM cells (Figure 8(d)). A similar decrease in SOCE was observed in A7r5 cells after prolonged exposure to high glucose concentrations, although this seems to be mostly attributable to an osmotic effect (Figure 3(b)).

(a)

(b)

(c)

(d)

(e)

Figure 8

Proliferation and Ca²⁺ signaling in VSMC cells from normal (NHVSMC) and diabetic (DHVSMC) human aorta. For all the tests human normal and diabetic VSM cells were cultured under NG as recommended by the supplier. Cell proliferation was determined 24 and 48 h after plating, using the WST-1 assay (a). For Ca²⁺ basal levels and Ca²⁺ store content, cells were loaded with 2 μM Fura-2AM for 30 min and the extent of Ca²⁺ release was determined following treatment of the cells with 2 μM ionomycin (b-c). For SOCE measurement, cells were loaded with 2 μM Fura-2AM for 30 min and SOCE was determined after store depletion with 1 μM thapsigargin (TG) (d). Cell contractility in response to 20 mM KCl was determined as described in Materials and Methods (e). Data are presented as mean ± SE from at least three independent experiments done each in triplicate. .

Using the thapsigargin approach to assess ER Ca²⁺ leak, no changes in the maximal levels of Ca²⁺ release were detected (Figure 9(a)). This is in contrast to the enhanced ionomycin releasable Ca²⁺ pool in diabetic VSM cells (Figure 8(c)). This could be due to slow Ca²⁺ release from the ER following TG treatment, which is dependent on the rate of the passive ER Ca²⁺ leak. In contrast, ionomycin induces a rapid release from stores given its ionophore properties. The slow Ca²⁺ release in response to TG allows time for other pathways such as Ca²⁺ extrusion out of cell to act on the released Ca²⁺, which would mask the real store Ca²⁺ content.

(a)

(b)

(c)

(d)

(e)

Figure 9

Ca²⁺ signaling pathways in normal (NHVSMC) and diabetic (DHVSMC) human aortic VSM cells. Cells were loaded with 2 μM Fura-2AM for 30 min and passive leak was monitored after store depletion with 1 μM thapsigargin (TG). Peak amplitude in response to TG (TG max release) and the time to half maximum release were compared between normal and diabetic cells (a, b). For the extrusion pathways the activity of PMCA and NCX was monitored by Ca²⁺ imaging after store depletion with 1 μM TG. Time to half () decay was then measured and compared between the different conditions (c). Cells were labeled with 2 μM Fura-2AM for 30 min and Ca²⁺ release was imaged following treatment of the cells with 30 and 40 μM of PE (d) or by using 30 μM PE followed by 1 mM lanthanum chloride (La³⁺) (e). Time to half decay was then measured and compared between normal and diabetics cells (e). Data are presented as mean ± SE from at least three independent experiments done each in triplicate. ; NS: not significant.

Other aspects of Ca²⁺ signaling, including the response to the G-protein coupled agonist PE (Figure 9(c)), Ca²⁺ extrusion (Figure 9(d)), and importantly SERCA activity (Figure 9(e)), were not statistically different among the normal and diabetic VSM cells. Although SERCA activity showed a trend toward inhibition in diabetic human VSM cells, this did not reach statistical significance (Figure 9(e)). This is in contrast to the dramatic inhibition of SERCA activity observed in A7r5 cells exposed to high glucose for prolonged time periods (Figure 7(b)), which was the most pronounced alteration to Ca²⁺ signaling observed in this model.

To assess the expression levels of the different Ca²⁺ channels and transporters in human VSM cells, we used real-time PCR to evaluate mRNA levels of PMCA1, PMCA4, Orai1, Orai2, stim1, STIM2, and SERCA1-3. No significant changes were detected in any of the studied markers (Supplemental Figure 3).

4. Discussion

Ca²⁺ signaling is an integral signaling module involved in many aspects of cellular physiology. Specificity of Ca²⁺ signaling stems from the integrated contribution of different channels and transporters that move Ca²⁺ across disparate subcellular compartments leading to complex spatial and temporal dynamics to encode specific downstream cellular functions [56]. As such Ca²⁺ signals are able to encode various cellular responses based on the specific dynamics of Ca²⁺ transients. As such, alterations in the function or regulation of Ca²⁺ transporting proteins could have significant consequences on cellular and organismal physiology [56–58].

Several reports show that vascular dysfunction in the context of hyperglycemia is associated with alterations to multiple signaling pathways, including advanced glycation end-products (AGEs), PKC-DAG, and the hexosamine pathways [16, 24–28]. These pathways could directly or indirectly affect Ca²⁺ signaling, which in turn would contribute to vascular dysfunction (VD) by altering VSM or endothelial cell physiology. Interestingly, a recurring pathway that appears to be involved in the aforementioned mechanisms is the generation of reactive oxygen species (ROS) [24–28]. Furthermore, several lines of evidence suggest that oxidative stress caused by hyperglycemia increases the risk of the adverse cardiovascular events associated with diabetes [10, 11, 21, 26, 59]. For instance, in comparison to normal cells, an increase in ROS generation has been reported in smooth muscles from diabetic human uterine vessel [26]. It has been further shown that chronic treatment with antioxidants normalizes VD associated with diabetes supporting the deleterious role of ROS on vascular function [26, 59].

Our data show that short-term (up to 72 hrs) exposure of A7r5 vascular smooth muscle cells to hyperglycemic conditions does not result in any detectable changes in Ca²⁺ signaling. However, long-term culture of A7r5 cells in HG versus NG conditions leads to significant changes to Ca²⁺ signaling. Most significantly long-term exposure to hyperglycemic conditions is associated with an inhibition of both Ca²⁺ leak from the ER (Figure 5(c)) and SERCA-dependent Ca²⁺ reuptake into the ER (Figure 7(b)). The fact that these changes required culture under hyperglycemic conditions of more than 4 weeks argues that they are not driven by metabolic changes due to the increased glucose load, but rather that they are associated with modifications such as glycation or other cellular adaptations to the hyperglycemic conditions. Consistent with this conclusion, Fleischhacker et al. found no differential effect in the response of diabetic or normal smooth muscle cells to KCl and norepinephrine after they were isolated and cultured for 4 weeks [26]. Nevertheless, significant differences were observed when the cells were freshly isolated arguing that they are due to the pathophysiological state of the diabetic organism, potentially due to circulating factors, rather than irreversible changes at the cellular level. These effects were reversed following treatment with superoxide dismutase and when glycated products were removed. This argues that observed differential responses are not due to genetic modifications but require the presence of glycated products.

Furthermore, the contribution of HG-induced ROS to the observed SERCA inhibition has been previously reported [10]. Tong et al. showed that ROS-induced oxidation of Cys647 of SERCA inhibits nitric oxide- (NO-) induced-S-glutathionylation of SERCA leading to a decrease in its activity [10]. Therefore, to confirm that long-term normalization of glucose rescues SERCA activity by decreasing oxidative stress, we cultured A7r5 cells for 2 weeks in the presence of N-acetyl-cysteine (NAC), a strong radical scavenger. NAC normalized SERCA activity (Figure 7(f)). The involvement of ROS was further confirmed by the use of the DCFH assay that showed that exposure of cells already cultured in NG or OC media to HG for 30 min was sufficient to increase ROS levels (Figure 7(g)).

Culturing VSM cells under hyperglycemic conditions is an easy experimental approach to discern the effects of hyperglycemia on VSM function and has been used by several groups. The conclusion from our experiments and those of others are that there are long-term alterations that are associated with changes to VSM physiology exposed to hyperglycemia. We were as such interested in testing whether changes to Ca²⁺ signaling observed in A7r5 cells exposed for prolonged periods of time to hyperglycemia are replicated in primary VSM cells from human subjects with diabetes.

In diabetic human VSM cells, we observe an increase in ER Ca²⁺ store content (Figure 8(c)), inhibition of SOCE (Figure 8(d)), and an inhibition of passive Ca²⁺ lead from the ER () (Figure 9(b)). Surprisingly, the most dramatic change to the Ca²⁺ signaling machinery observed in A7r5 cells, which is the inhibition of SERCA activity, was not statistically significant in human diabetic VSM cells (Figure 9(e)). This leaves the inhibition of ER Ca²⁺ leak as the only Ca²⁺ signaling pathway tested that consistently shows inhibition in both diabetic human VSM cells and the A7r5 cell culture model.

SOCE is inhibited in both the A7r5 model and human diabetic VSM cells; however, the fact that a similar inhibition was observed in the osmotic control in the A7r5 model in our hands casts doubt as to whether this inhibition is due to hyperglycemia per se.

There is compelling evidence from animal and clinical studies that some of the adverse effects of hyperglycemia on VD associated with diabetes are everlasting and cannot be reversed when glucose levels are improved or controlled [25]. In the context of Ca²⁺ signaling, we show here that the passive Ca²⁺ leak from the ER is consistently inhibited in VSM cells exposed to prolonged hyperglycemia both in humans and in culture model. In human diabetic VSM cells, consistently, this is associated with higher Ca²⁺ store content. However, these changes in Ca²⁺ dynamics were not associated with alteration to VSM Ca²⁺ signals in response to PE or to basal cytoplasmic Ca²⁺ levels. Therefore, their physiological significance remains unclear. Nonetheless, one could envision agonist stimulation in vivo leading to a more pronounced Ca²⁺ transient given the increased Ca²⁺ store content, which could result in a more sustained Ca²⁺ signal, thus affecting VSM physiology and contractility.

Hyperglycemia has also been shown to affect the microvasculature by impacting the activation state of the calcineurin-NFAT signaling cascade in smooth muscle cells of resistance arteries [60], a process that seems to be related to upregulation of SOCE in the endothelium in response to high glucose levels [37]. These changes could affect vascular health and contractility, thus leading to complications. There is indeed evidence supporting a decreased responsiveness of small mesenteric arteries to phenylephrine in diabetic as compared to control mice [61]. Therefore, hyperglycemia affects the responsiveness of microvessels and their contractility, which would ultimately contribute to the vascular dysfunction that is tightly associated with diabetes. Hence, understanding the molecular mechanisms through which hyperglycemia affects the function of both endothelial and VSM cells and their interactions, particularly in small resistance arteries, becomes critical.

Finally, an important take-home message from our experiments is that changes observed in a cell culture model of hyperglycemia need to be interpreted with caution as they are not readily translatable to VSM cells from diabetic subjects. This is not surprising given that the type and extent of exposure of VSM to hyperglycemia in the whole organism tend to be intermittent and it occurs in the context of a multitude of additional factors acting on VSM cells.

Disclosure

Nahed El-Najjar current address is as follows: University Hospital Regensburg, Institute of Clinical Chemistry and Laboratory Medicine, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany. The statements made herein are solely the responsibility of the authors.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Rashmi P. Kulkarni and Nancy Nader have equal contribution.

Acknowledgments

This work was funded by NPRP 09-413-3-104 from the Qatar National Research Fund (QNRF). Additional support for the authors comes from the Biomedical Research Program (BMRP) at Weill Cornell Medical College in Qatar, a program funded by Qatar Foundation.

Supplementary Materials

Supplemental Figure 1: The effects of short term switch in hyperglycemia on Ca²⁺ signaling in VSM cells.

Supplemental Figure 2: Effect of glucose on protein expression of PMCA isoforms (1 and 4) in A7r5 cells cultured under HG, NG, and OC.

Supplemental Figure 3: Expression of Ca²⁺ channels and transporters in normal and diabetic VSM cells.

Supplementary Material

References

N. Alexandru, E. Badila, E. Weiss, D. Cochior, E. Stępień, and A. Georgescu, “Vascular complications in diabetes: microparticles and microparticle associated microRNAs as active players,” Biochemical and Biophysical Research Communications, vol. 472, no. 1, pp. 1–10, 2016.
View at: Publisher Site | Google Scholar
I. G. Poornima, P. Parikh, and R. P. Shannon, “Diabetic cardiomyopathy: the search for a unifying hypothesis,” Circulation Research, vol. 98, no. 5, pp. 596–605, 2006.
View at: Publisher Site | Google Scholar
M. Massi-Benedetti and M. O. Federici, “Cardiovascular risk factors in type 2 diabetes: the role of hyperglycaemia,” Experimental and Clinical Endocrinology & Diabetes: Official Journal, German Society of Endocrinology and German Diabetes Association, vol. 107, pp. S120–S123, 1998.
View at: Google Scholar
D. M. Nathan, “Long-term complications of diabetes mellitus,” The New England Journal of Medicine, vol. 328, no. 23, pp. 1676–1685, 1993.
View at: Publisher Site | Google Scholar
R. L. Engerman and T. S. Kern, “Progression of incipient diabetic retinopathy during good glycemic control,” Diabetes, vol. 36, no. 7, pp. 808–812, 1987.
View at: Publisher Site | Google Scholar
H. P. Chase, W. E. Jackson, S. L. Hoops, R. S. Cockerham, P. G. Archer, and D. O’brien, “Glucose control and the renal and retinal complications of insulin-dependent diabetes,” JAMA: The Journal of the American Medical Association, vol. 261, no. 8, pp. 1155–1160, 1989.
View at: Publisher Site | Google Scholar
A. J. Krentz, G. Clough, and C. D. Byrne, “Interactions between microvascular and macrovascular disease in diabetes: pathophysiology and therapeutic implications,” Diabetes, Obesity and Metabolism, vol. 9, no. 6, pp. 781–791, 2007.
View at: Publisher Site | Google Scholar
Y. Zhang, H. Shi, G. Sun et al., “High glucose induces dysfunction and apoptosis in endothelial cells: is the effect of high glucose persistence more important than concentration?” Experimental and Clinical Endocrinology Diabetes: Official Journal German Society of Endocrinology & German Diabetes Association, vol. 119, no. 4, pp. 225–233, 2011.
View at: Google Scholar
K. M. Dunn and M. T. Nelson, “Potassium channels and neurovascular coupling,” Circulation Journal, vol. 74, no. 4, pp. 608–616, 2010.
View at: Publisher Site | Google Scholar
X. Tong, J. Ying, D. R. Pimentel, M. Trucillo, T. Adachi, and R. A. Cohen, “High glucose oxidizes SERCA cysteine-674 and prevents inhibition by nitric oxide of smooth muscle cell migration,” Journal of Molecular and Cellular Cardiology, vol. 44, no. 2, pp. 361–369, 2008.
View at: Publisher Site | Google Scholar
M. A. Creager, T. F. Lüscher, F. Cosentino, and J. A. Beckman, “Diabetes and vascular disease. Pathophysiology, clinical consequences, and medical therapy: part I,” Circulation, vol. 108, no. 12, pp. 1527–1532, 2003.
View at: Publisher Site | Google Scholar
N. D. Evcimen and G. L. King, “The role of protein kinase C activation and the vascular complications of diabetes,” Pharmacological Research, vol. 55, no. 6, pp. 498–510, 2007.
View at: Publisher Site | Google Scholar
J. Skrha, J. Soupal, J. Skrha Jr., and M. Prázný, “Glucose variability, HbA1c and microvascular complications,” Reviews in Endocrine and Metabolic Disorders, vol. 17, no. 1, pp. 103–110, 2016.
View at: Publisher Site | Google Scholar
E. Harper, H. Forde, C. Davenport, K. D. Rochfort, D. Smith, and P. M. Cummins, “Vascular calcification in type-2 diabetes and cardiovascular disease: integrative roles for OPG, RANKL and TRAIL,” Vascular Pharmacology, vol. 82, pp. 30–40, 2016.
View at: Publisher Site | Google Scholar
M. F. Navedo, Y. Takeda, M. Nieves-Cintrón, J. D. Molkentin, and L. F. Santana, “Elevated Ca2+ sparklet activity during acute hyperglycemia and diabetes in cerebral arterial smooth muscle cells,” American Journal of Physiology - Cell Physiology, vol. 298, no. 2, pp. C211–C220, 2010.
View at: Publisher Site | Google Scholar
M. Lotfy, J. Adeghate, H. Kalasz, J. Singh, and E. Adeghate, “Chronic complications of diabetes mellitus: a mini review,” Current Diabetes Reviews, vol. 13, no. 1, pp. 3–10, 2016.
View at: Publisher Site | Google Scholar
R. Meerwaldt, T. Links, C. Zeebregts, R. Tio, J. Hillebrands, and A. Smit, “The clinical relevance of assessing advanced glycation endproducts accumulation in diabetes,” Cardiovascular Diabetology, vol. 7, article 29, 2008.
View at: Publisher Site | Google Scholar
M. Gollasch, H. Haase, C. Ried et al., “L-type calcium channel expression depends on the differentiated state of vascular smooth muscle cells,” The FASEB Journal, vol. 12, no. 7, pp. 593–601, 1998.
View at: Google Scholar
J. Li, L. McKeown, O. Ojelabi et al., “Nanomolar potency and selectivity of a Ca2+ release-activated Ca2+ channel inhibitor against store-operated Ca2+ entry and migration of vascular smooth muscle cells,” British Journal of Pharmacology, vol. 164, no. 2, pp. 382–393, 2011.
View at: Publisher Site | Google Scholar
O. D. Fedoryak, Y. Searls, I. V. Smirnova, D. M. Burns, and L. Stehno-Bittel, “Spontaneous Ca2+ oscillations in subcellular compartments of vascular smooth muscle cells rely on different Ca2+ pools,” Cell Research, vol. 14, no. 5, pp. 379–388, 2004.
View at: Publisher Site | Google Scholar
K. Yasunari, M. Kohno, H. Kano, K. Yokokawa, M. Minami, and J. Yoshikawa, “Antioxidants improve impaired insulin-mediated glucose uptake and prevent migration and proliferation of cultured rabbit coronary smooth muscle cells induced by high glucose,” Circulation, vol. 99, no. 10, pp. 1370–1378, 1999.
View at: Publisher Site | Google Scholar
P. L. Faries, D. I. Rohan, H. Takahara et al., “Human vascular smooth muscle cells of diabetic origin exhibit increased proliferation, adhesion, and migration,” Journal of Vascular Surgery, vol. 33, no. 3, pp. 601–607, 2001.
View at: Publisher Site | Google Scholar
G. Orasanu and J. Plutzky, “The pathologic continuum of diabetic vascular disease,” Journal of the American College of Cardiology, vol. 53, no. 5, pp. S35–S42, 2009.
View at: Publisher Site | Google Scholar
R. Madonna and R. De Caterina, “Cellular and molecular mechanisms of vascular injury in diabetes - part I: pathways of vascular disease in diabetes,” Vascular Pharmacology, vol. 54, no. 3-6, pp. 68–74, 2011.
View at: Publisher Site | Google Scholar
P. J. Aschner and A. J. Ruiz, “Metabolic memory for vascular disease in diabetes,” Diabetes Technology and Therapeutics, vol. 14, no. 1, pp. S68–S74, 2012.
View at: Publisher Site | Google Scholar
E. Fleischhacker, V. E. Esenabhalu, M. Spitaler et al., “Human diabetes is associated with hyperreactivity of vascular smooth muscle cells due to altered subcellular Ca2+ distribution,” Diabetes, vol. 48, no. 6, pp. 1323–1330, 2000.
View at: Publisher Site | Google Scholar
K. K. Griendling, C. A. Minieri, J. D. Ollerenshaw, and R. W. Alexander, “Angiotensin II stimulates NADH and NADPH oxidase activity in cultured vascular smooth muscle cells,” Circulation Research, vol. 74, no. 6, pp. 1141–1148, 1994.
View at: Publisher Site | Google Scholar
P. J. Pagano, Y. Ito, K. Tornheim, P. M. Gallop, A. I. Tauber, and R. A. Cohen, “An NADPH oxidase superoxide-generating system in the rabbit aorta,” American Journal of Physiology, vol. 268, no. 6, pp. H2274–H2280, 1995, An NADPH oxidase superoxide-generating system in the rabbit aorta, AmJPhysiol.
View at: Google Scholar
J. R. Steinert, A. W. Wyatt, R. Jacob, and G. E. Mann, “Redox modulation of Ca2+ signaling in human endothelial and smooth muscle cells in pre-eclampsia,” Antioxidants and Redox Signaling, vol. 11, no. 5, pp. 1149–1163, 2009.
View at: Publisher Site | Google Scholar
K. Kiselyov and S. Muallem, “ROS and intracellular ion channels,” Cell Calcium, vol. 60, no. 2, pp. 108–114, 2016.
View at: Publisher Site | Google Scholar
J. B. Parys, L. Missiaen, H. De Smedt, G. Droogmans, and R. Casteels, “Bell-shaped activation of inositol-1,4,5-trisphosphate-induced Ca2+ release by thimerosal in permeabilized A7r5 smooth-muscle cells,” Pflügers Archiv European Journal of Physiology, vol. 424, no. 5-6, pp. 516–522, 1993.
View at: Publisher Site | Google Scholar
J.-B. Roullet, K.-H. Le Quan Sang, U. Luft et al., “Inhibition of Ca2+ uptake into A7r5 vascular smooth muscle cells by farnesol: Lack of effect on membrane fluidity and Ca2+-ATPase activities,” Journal of Hypertension, vol. 15, no. 12, pp. 1723–1728, 1997.
View at: Publisher Site | Google Scholar
K. D. Wu, D. Bungard, and J. Lytton, “Regulation of SERCA Ca2+ pump expression by cytoplasmic Ca2+ in vascular smooth muscle cells,” The American Journal of Physiology - Cell Physiology, vol. 280, no. 4, pp. C843–C851, 2001.
View at: Google Scholar
Y. M. Searls, R. Loganathan, I. V. Smirnova, and L. Stehno-Bittel, “Intracellular Ca2+ regulating proteins in vascular smooth muscle cells are altered with type 1 diabetes due to the direct effects of hyperglycemia,” Cardiovascular Diabetology, vol. 9, article 8, 2010.
View at: Publisher Site | Google Scholar
A. B. Parekh and J. W. Putney Jr., “Store-operated calcium channels,” Physiological Reviews, vol. 85, no. 2, pp. 757–810, 2005.
View at: Publisher Site | Google Scholar
M. D. Cahalan, “STIMulating store-operated Ca²⁺ entry,” Nature Cell Biology, vol. 11, no. 6, pp. 669–677, 2009.
View at: Publisher Site | Google Scholar
N. Daskoulidou, B. Zeng, L. M. Berglund et al., “High glucose enhances store-operated calcium entry by upregulating ORAI/STIM via calcineurin-NFAT signalling,” Journal of Molecular Medicine, vol. 93, no. 5, pp. 511–521, 2015.
View at: Publisher Site | Google Scholar
J. Liou, M. L. Kim, D. H. Won et al., “STIM is a Ca²⁺ sensor essential for Ca²⁺-store- depletion-triggered Ca²⁺ influx,” Current Biology, vol. 15, no. 13, pp. 1235–1241, 2005.
View at: Publisher Site | Google Scholar
J. Roos, P. J. DiGregorio, A. V. Yeromin et al., “STIM1, an essential and conserved component of store-operated Ca²⁺ channel function,” Journal of Cell Biology, vol. 169, no. 3, pp. 435–445, 2005.
View at: Publisher Site | Google Scholar
J. Liou, M. Fivaz, T. Inoue, and T. Meyer, “Live-cell imaging reveals sequential oligomerization and local plasma membrane targeting of stromal interaction molecule 1 after Ca²⁺ store depletion,” Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 22, pp. 9301–9306, 2007.
View at: Publisher Site | Google Scholar
R. M. Luik, M. M. Wu, J. Buchanan, and R. S. Lewis, “The elementary unit of store-operated Ca2+ entry: Local activation of CRAC channels by STIM1 at ER-plasma membrane junctions,” Journal of Cell Biology, vol. 174, no. 6, pp. 815–825, 2006.
View at: Publisher Site | Google Scholar
M. Prakriya, S. Feske, Y. Gwack, S. Srikanth, A. Rao, and P. G. Hogan, “Orai1 is an essential pore subunit of the CRAC channel,” Nature, vol. 443, no. 7108, pp. 230–233, 2006.
View at: Publisher Site | Google Scholar
P. B. Stathopulos, G.-Y. Li, M. J. Plevin, J. B. Ames, and M. Ikura, “Stored Ca2+ depletion-induced oligomerization of stromal interaction molecule 1 (STIM1) via the EF-SAM region: An initiation mechanism for capacitive Ca2+ entry,” Journal of Biological Chemistry, vol. 281, no. 47, pp. 35855–35862, 2006.
View at: Publisher Site | Google Scholar
M. Vig, C. Peinelt, A. Beck et al., “CRACM1 is a plasma membrane protein essential for store-operated Ca2+ entry,” Science, vol. 312, no. 5777, pp. 1220–1223, 2006.
View at: Publisher Site | Google Scholar
R. H. Cox and N. J. Rusch, “New expression profiles of voltage-gated ion channels in arteries exposed to high blood pressure,” Microcirculation, vol. 9, no. 4, pp. 243–257, 2002.
View at: Publisher Site | Google Scholar
M. A. Hill, H. Zou, S. J. Potocnik, G. A. Meininger, and M. J. Davis, “Invited review: arteriolar smooth muscle mechanotransduction: Ca2+ signaling pathways underlying myogenic reactivity,” Journal of Applied Physiology, vol. 91, no. 2, pp. 973–985, 2001.
View at: Google Scholar
S. Moosmang, V. Schulla, A. Welling et al., “Dominant role of smooth muscle L-type calcium channel Cav1.2 for blood pressure regulation,” The EMBO Journal, vol. 22, no. 22, pp. 6027–6034, 2003.
View at: Publisher Site | Google Scholar
M. T. Nelson, J. B. Patlak, J. F. Worley, and N. B. Standen, “Calcium channels, potassium channels, and voltage dependence of arterial smooth muscle tone,” American Journal of Physiology, vol. 259, no. 1, pp. C3–C18, 1990.
View at: Google Scholar
A. Pesic, J. A. Madden, M. Pesic, and N. J. Rusch, “High blood pressure upregulates arterial L-type Ca2+ channels: is membrane depolarization the signal?” Circulation research, vol. 94, no. 10, pp. e97–104, 2004.
View at: Publisher Site | Google Scholar
H. Abou-Saleh, A. R. Pathan, A. Daalis et al., “Inositol 1,4,5-trisphosphate (IP3) receptor up-regulation in hypertension is associated with sensitization of Ca2+ release and vascular smooth muscle contractility,” Journal of Biological Chemistry, vol. 288, no. 46, pp. 32941–32951, 2013.
View at: Publisher Site | Google Scholar
H. Tu, O. Nelson, A. Bezprozvanny et al., “Presenilins form ER Ca2+ leak channels, a function disrupted by familial alzheimer's disease-linked mutations,” Cell, vol. 126, no. 5, pp. 981–993, 2006.
View at: Publisher Site | Google Scholar
R. B. Lomax, C. Camello, F. Van Coppenolle, O. H. Petersen, and A. V. Tepikin, “Basal and physiological Ca2+ leak from the endoplasmic reticulum of pancreatic acinar cells. Second messenger-activated channels and translocons,” Journal of Biological Chemistry, vol. 277, no. 29, pp. 26479–26485, 2002.
View at: Publisher Site | Google Scholar
S. A. Oakes, L. Scorrano, J. T. Opferman et al., “Proapoptotic BAX and BAK regulate the type 1 inositol trisphosphate receptor and calcium leak from the endoplasmic reticulum,” Proceedings of the National Academy of Sciences of the United States of America, vol. 102, no. 1, pp. 105–110, 2005.
View at: Publisher Site | Google Scholar
J. Pande, K. K. Mallhi, A. Sawh, M. M. Szewczyk, F. Simpson, and A. K. Grover, “Aortic smooth muscle and endothelial plasma membrane Ca2+ pump isoforms are inhibited differently by the extracellular inhibitor caloxin 1b1,” American Journal of Physiology-Cell Physiology, vol. 290, no. 5, pp. C1341–C1349, 2006.
View at: Publisher Site | Google Scholar
C. Y. Kwan, H. Takemura, J. F. Obie, O. Thastrup, and J. W. Putney Jr., “Effects of MeCh, thapsigargin, and La3+ on plasmalemmal and intracellular Ca2+ transport in lacrimal acinar cells,” American Journal of Physiology-Cell Physiology, vol. 258, no. 6, pp. C1006–C1015, 1990.
View at: Google Scholar
M. J. Berridge, P. Lipp, and M. D. Bootman, “The versatility and universality of calcium signalling,” Nature Reviews Molecular Cell Biology, vol. 1, no. 1, pp. 11–21, 1999.
View at: Publisher Site | Google Scholar
J. Lytton, “Na⁺/Ca²⁺ exchangers: three mammalian gene families control Ca²⁺ transport,” Biochemical Journal, vol. 406, no. 3, pp. 365–382, 2007.
View at: Publisher Site | Google Scholar
M. J. Berridge, M. D. Bootman, and H. L. Roderick, “Calcium signalling: dynamics, homeostasis and remodelling,” Nature Reviews Molecular Cell Biology, vol. 4, no. 7, pp. 517–529, 2003.
View at: Publisher Site | Google Scholar
G. M. Pieper, W. Siebeneich, A. M. Roza, M. Jordan, and M. B. Adams, “Chronic treatment in vivo with dimethylthiourea, a hydroxyl radical scavenger, prevents diabetes-induced endothelial dysfunction,” Journal of Cardiovascular Pharmacology, vol. 28, no. 6, pp. 741–745, 1996.
View at: Publisher Site | Google Scholar
L. M. Nilsson-Berglund, A. V. Zetterqvist, J. Nilsson-Öhman et al., “Nuclear factor of activated T cells regulates osteopontin expression in arterial smooth muscle in response to diabetes-induced hyperglycemia,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 30, no. 2, pp. 218–224, 2010.
View at: Publisher Site | Google Scholar
K. Nobe, T. Hashimoto, and K. Honda, “Two distinct dysfunctions in diabetic mouse mesenteric artery contraction are caused by changes in the Rho A-Rho kinase signaling pathway,” European Journal of Pharmacology, vol. 683, no. 1-3, pp. 217–225, 2012.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2017 Nahed El-Najjar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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BioMed Research International

Cardiac Complications of Diabetes

Effects of Hyperglycemia on Vascular Smooth Muscle Ca2+ Signaling

Abstract

1. Introduction

2. Materials and Methods

2.1. Materials

2.2. Cell Culture

2.3. Cell Proliferation

2.4. WST-1 Metabolic Activity Assay

2.5. Intracellular Calcium Measurements

2.6. Vascular Smooth Muscle Cells Contraction

2.7. Intracellular ROS Generation by DCFH

2.8. Western Blot Analysis

2.9. RNA Extraction and Real-Time PCR

2.10. Statistical Analysis

3. Results

3.1. Long-Term Adaptation of A7r5 to Low or High Glucose Culture Conditions

3.2. Store-Operated Ca2+ Entry (SOCE)

3.3. Voltage Gated Ca2+ Channels (VGCC)

3.4. Ca2+ Leak from the Endoplasmic Reticulum (ER)

3.5. Ca2+ Extrusion: Plasma Membrane Ca2+-ATPase (PMCA) and the Na+-Ca2+-Exchanger (NCX)

3.6. Sarcoplasmic Reticulum Ca2+-ATPase (SERCA)

3.7. Human Diabetic VSM Cells

4. Discussion

Disclosure

Conflicts of Interest

Authors’ Contributions

Acknowledgments

Supplementary Materials

References

Copyright

Effects of Hyperglycemia on Vascular Smooth Muscle Ca²⁺ Signaling

3.2. Store-Operated Ca²⁺ Entry (SOCE)

3.3. Voltage Gated Ca²⁺ Channels (VGCC)

3.4. Ca²⁺ Leak from the Endoplasmic Reticulum (ER)

3.5. Ca²⁺ Extrusion: Plasma Membrane Ca²⁺-ATPase (PMCA) and the Na⁺-Ca²⁺-Exchanger (NCX)

3.6. Sarcoplasmic Reticulum Ca²⁺-ATPase (SERCA)