Advertisement
Article tools
  • View PDF
  • Cite this article
  • E-mail this article
  • Send a letter
  • Information on reuse
  • Standard abbreviations
  • Article usage
Author information
Need help?

Research Article

Amendment history:

Diabetes increases mortality after myocardial infarction by oxidizing CaMKII

Min Luo1, Xiaoqun Guan1, Elizabeth D. Luczak1, Di Lang2, William Kutschke1, Zhan Gao1, Jinying Yang1, Patric Glynn3, Samuel Sossalla4, Paari D. Swaminathan1, Robert M. Weiss1, Baoli Yang5, Adam G. Rokita1,4, Lars S. Maier4, Igor R. Efimov2, Thomas J. Hund3 and Mark E. Anderson1,6

1Division of Cardiovascular Medicine, Department of Internal Medicine, Cardiovascular Research Center, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA. 2Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA. 3Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA. 4Department of Cardiology, University of Goettingen, Goettingen, Germany. 5Gene Targeting Core Facility and Department of Obstetrics and Gynecology, University of Iowa, Iowa City, Iowa, USA. 6Department of Molecular Physiology and Biophysics, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.

Address correspondence to: Mark E. Anderson, 285 Newton Road, CBRB 2256, Iowa City, Iowa 52242, USA. Phone: 319.356.2745; Fax: 319.356.8608; E-mail: mark-e-anderson@uiowa.edu.

First published February 15, 2013
Submitted: June 11, 2012; Accepted: December 20, 2012.

Diabetes increases oxidant stress and doubles the risk of dying after myocardial infarction, but the mechanisms underlying increased mortality are unknown. Mice with streptozotocin-induced diabetes developed profound heart rate slowing and doubled mortality compared with controls after myocardial infarction. Oxidized Ca2+/calmodulin-dependent protein kinase II (ox-CaMKII) was significantly increased in pacemaker tissues from diabetic patients compared with that in nondiabetic patients after myocardial infarction. Streptozotocin-treated mice had increased pacemaker cell ox-CaMKII and apoptosis, which were further enhanced by myocardial infarction. We developed a knockin mouse model of oxidation-resistant CaMKIIδ (MM-VV), the isoform associated with cardiovascular disease. Streptozotocin-treated MM-VV mice and WT mice infused with MitoTEMPO, a mitochondrial targeted antioxidant, expressed significantly less ox-CaMKII, exhibited increased pacemaker cell survival, maintained normal heart rates, and were resistant to diabetes-attributable mortality after myocardial infarction. Our findings suggest that activation of a mitochondrial/ox-CaMKII pathway contributes to increased sudden death in diabetic patients after myocardial infarction.

Introduction

Diabetes mellitus is a worldwide epidemic and a major public health problem that affects over 8% of the US population (1, 2). Myocardial infarction (MI) is the most common cause of mortality in diabetics (3, 4), and multiple studies have shown that diabetic patients are twice as likely to die from MI compared with nondiabetic patients (2, 46). However, the mechanism(s) for the “diabetic factor” (7) underlying increased MI-related mortality in diabetic patients is unclear. Surprisingly, the excess mortality due to MI in diabetic patients is independent of commonly recognized comorbid clinical conditions, including the extent of myocardial injury, left ventricular contractile dysfunction, or coronary artery patency after reperfusion therapy (46, 8). Improved understanding of molecular mechanisms and pathways that promote death in diabetic patients after MI is a major goal of biomedical science.

ROS are elevated after MI (9, 10), and increased ROS promotes disease complications of diabetes (11, 12). However, broad-spectrum antioxidant therapies have yielded disappointing results (13), suggesting that detailed knowledge of oxidative injury mechanisms will be necessary to develop new and effective targeted antioxidant therapies. The multifunctional Ca2+/calmodulin-dependent protein kinase II (CaMKII) is activated by oxidation (ox-CaMKII) (14), and ox-CaMKII may increase the risk of sudden death after MI by promoting heart failure (15), cardiac rupture (16), and arrhythmias (17). We found significantly more ox-CaMKII in diabetic hearts compared with that in nondiabetic hearts in patients who had MI, suggesting that ox-CaMKII could contribute to the increased mortality in diabetic patients after MI. Streptozotocin (STZ) is a pancreatic β cell toxin that induces a severe form of type I diabetes (18), and STZ-treated diabetic mice were twice as likely to die after MI surgery as vehicle-treated control mice, mimicking the increased mortality in diabetic patients compared with that in nondiabetic patients after MI. Oxidation of methionines 281/282 in the CaMKII regulatory domain lock ox-CaMKII into a constitutively active conformation (14). In order to test whether ox-CaMKII was an essential component of a molecular pathway that increased death in STZ-treated mice after MI, we created a knockin model of oxidation-resistant CaMKII by replacing the methionines 281/282 with valines (MM-VV) in a myocardial CaMKII isoform (CaMKIIδ) known to participate in myocardial injury (19, 20). Diabetic, STZ-treated MM-VV mice and mice with transgenic myocardial and sinoatrial nodal (SAN) pacemaker cell expression of a synthetic CaMKII inhibitory peptide (AC3-I) (21) were protected from increased mortality after MI, indicating that increased ox-CaMKII was essential for excess mortality after MI in STZ-treated mice.

Death in STZ-treated mice after MI was due to severe bradycardia, consistent with known defects in cardiac pacemaker function in diabetic patients (2224) and recognized associations between abnormal cardiac pacing and increased risk for sudden death (25). The increase in SAN ox-CaMKII expression in diabetes is likely a result of increased mitochondrial ROS triggered by hyperglycemia, as diabetic mice treated with a mitochondrial antioxidant, MitoTEMPO, showed reduced ox-CaMKII, preserved heart rates, and improved survival after MI. Our findings are consistent with a pathway in which hyperglycemia enhances susceptibility to mortality after MI by increasing mitochondrial ROS, leading to excessive ox-CaMKII, SAN cell apoptosis, SAN dysfunction, and death. These results provide new insights into a novel mechanism underlying increased mortality in diabetes and MI and suggest that mitochondrial or CaMKII-targeted antioxidant therapies could benefit high-risk diabetic patients.

Results

Diabetes increases MI mortality by SAN injury. STZ-treated mice had over a 2-fold increase in mean blood glucose compared with that of controls (Supplemental Figure 1; supplemental material available online with this article; doi: 10.1172/JCI65268DS1). Two to three weeks after STZ treatment, we performed MI surgery in STZ-injected or vehicle-injected mice by ligating the left anterior descending coronary artery (15, 16, 21). Similar to diabetic patients (46), diabetic mice (WT) had significantly decreased survival after MI compared with that of nondiabetic mice (Figure 1A). However, there was no difference in survival after sham surgery between diabetic and nondiabetic mice (Supplemental Figure 2A), suggesting that the increased mortality in diabetic mice was due to MI. There were also no significant changes in serum chemistry (i.e., blood urea nitrogen or bicarbonate) to suggest ketoacidosis or acute renal failure as a potential cause of excessive mortality in STZ-treated mice (Supplemental Table 1). Most early deaths after MI are caused by heart failure due to depressed mechanical function (26), arrhythmias (27), or myocardial rupture (28). To investigate the cause of the excessive acute death in diabetic mice after MI, we performed autopsies on all dead mice and found that 4 out of 5 deaths in nondiabetic mice were caused by cardiac rupture. In contrast, no rupture events were found in any STZ-treated diabetic mice. We performed echocardiography (2.1 ± 0.3 days in vehicle and 2.0 ± 0.4 days in STZ group after MI) and found that there were no differences in left ventricular contractile function, chamber dilation (Supplemental Table 2), or in heart weight and lung weights normalized to tibia length between the STZ-treated or control groups (Supplemental Table 1). There were also no significant differences in cardiac output (16 ± 1.5 ml/min in vehicle and 14 ± 0.7 ml/min in STZ group; P = 0.1) or left ventricular ejection fraction (76% ± 2.5% in vehicle and 76% ± 1.4% in STZ group; P = 0.8) prior to MI in diabetic mice compared with nondiabetic mice. These results suggest that intrinsic defects in the contractile function of surviving left ventricular myocardia of STZ-treated mice were not the primary cause of increased mortality after MI. However, echocardiographic studies did show that diabetic mice had decreased heart rates without a significant change in left ventricular stroke volume, which caused significantly (P = 0.019) reduced cardiac output compared with that of the nondiabetic mice (Supplemental Table 2). These data pointed to a defect in SAN function as a potential determinant of increased mortality after MI in diabetic mice.

Increased death and SND in WT diabetic mice after MI.Figure 1

Increased death and SND in WT diabetic mice after MI. (A) Survival in WT mice treated with vehicle (Veh) (n = 10), STZ (n = 14), STZ and insulin (n = 7), and MitoTEMPO (Mito) and STZ (n = 11) and in AC3-I (n = 13), MM-VV (n = 19), and Ncf1–/– mice treated with STZ (n = 7) after MI. Overall P = 0.005 by 1-way ANOVA, P < 0.05 for comparisons between WT STZ and all other groups except the Ncf1–/– group (P = 0.7). (BF) In vivo data from ECG-telemetered WT mice treated with vehicle, STZ, STZ and insulin, and MitoTEMPO and STZ and from AC3-I, MM-VV, and Ncf1–/– mice treated with STZ after MI (n = 4–14 per group). (B) Representative heart rate (HR) tracings ending in death. (C) Representative ECGs. Arrowheads indicate P waves. (D) Resting heart rates. Overall P < 0.0001, *P < 0.05, **P < 0.01, ***P < 0.001 by 1-way ANOVA. (E) Episodes of severe bradycardia (heart rate <200 beats per minute). Overall P = 0.0004, *P < 0.05, **P < 0.01, ***P < 0.001 by 1-way ANOVA. (F) Spontaneous activity-responsive heart rate (ARHR) increase (overall P = 0.001 for activity 1–10, P = 0.0005 for activity level 11–15, P = 0.0002 for all other activity levels by 1-way ANOVA).

After MI, diabetic patients are at increased risk for sudden death due to cardiac arrhythmias (6, 29, 30), disorders of myocardial cell membrane excitability that result in excessively fast or slow heart rates. In order to investigate whether arrhythmia contributes to the excessive death in diabetic mice after MI, we continuously monitored heart rate and rhythm in unrestrained and unanesthetized mice surgically implanted with ECG- and activity-sensing telemeters. We measured ECGs immediately after recovery from MI for up to 1 week or until death. Diabetic mice had marked heart rate slowing throughout the recording period, but heart rates slowed profoundly prior to death (Figure 1B, right). In contrast, deaths in vehicle-treated control mice after MI were not preceded by heart rate slowing (Figure 1B, left). The severe heart rate slowing was accompanied by reduced heart rate variability in diabetic mice compared with that in nondiabetic mice after MI (Figure 1B), similar to findings in high-risk diabetic patients (22, 23). Analysis of the ECG traces showed slow heart rates emanating from the SAN, presumably due to defective SAN function, were the predominant cause of severe heart rate slowing (Figure 1C). WT diabetic mice after MI exhibited a significant reduction in heart rate at rest compared with that of vehicle-treated MI controls (Figure 1D) and suffered frequent episodes of severe heart rate slowing, below 200 beats per minute, after MI (Figure 1E). In contrast, heart rate slowing events below 200 beats per minute were rarely detected in vehicle-treated mice after MI (Figure 1E). Furthermore, WT diabetic mice after MI had reduced heart rate responses to activity compared with those of vehicle-treated control mice after MI (Figure 1F), whereas both groups showed a similar distribution of spontaneous activity throughout the recording period (Supplemental Figure 3). We did not identify episodes of abnormal rapid rhythms in any of the mice. These findings are consistent with features of severe SAN dysfunction (SND), slow resting heart rates and inadequate activity-related increases in heart rate. These findings are also consistent with known defects in cardiac pacemaker and autonomic nerve function in diabetic patients that are thought to cause reduced heart rate variability and prevent activity-related increases in heart rate (22, 23, 31). Thus, we interpreted our findings up to this point to suggest that SND, due to defects in SAN cells, autonomic activity, or both, contributes to increased mortality after MI in diabetic mice.

In vivo heart rate is determined by intrinsic SAN automaticity under extrinsic modulation by autonomic nerves (32). In order to examine the mechanism of SND, we first asked whether STZ-induced diabetes in the absence of MI was sufficient to cause SND and whether SND was evident under conditions in which autonomic regulation was absent. We measured heart rates in ex vivo, Langendorff-perfused hearts and in atrial explants that contained the SAN region isolated from diabetic and nondiabetic mice. Heart rates were significantly slower in WT diabetic hearts compared with those in nondiabetic counterparts (Figure 2A). We measured the sinus node recovery time corrected for heart rate (CSNRT), a clinical index of SAN function (33), in the Langendorff-perfused hearts. The CSNRT was significantly prolonged in WT diabetic mice compared with that in nondiabetic mice (Figure 2B). Furthermore, hearts isolated from WT STZ-treated mice also showed impaired responses to isoproterenol (Figure 2C).

Intrinsic SND in diabetic mice.Figure 2

Intrinsic SND in diabetic mice. Langendorff-perfused hearts from WT mice treated with vehicle, STZ, and MitoTEMPO and STZ and AC3-I, MM-VV, and Ncf1–/– mice treated with STZ. (A) Heart rate. Overall P < 0.0001, ***P < 0.001 by 1-way ANOVA (n = 6–15 per group). (B) CSNRT. Overall P = 0.0003, **P < 0.01, *P < 0.05 by 1-way ANOVA (n = 5–8 per group). (C) Response to isoproterenol. *P < 0.0001 for 0 nM, **P = 0.0009 for 2 nM, ***P = 0.0001 for 20 nM, #P = 0.002 for 40 nM, ##P < 0.0001 for 100 nM (n = 5–8 per group). (DF) Langendorff-perfused hearts isolated from STZ-treated mice after SAN painting with adenovirus expressing CaMKIIN and GFP or GFP alone. (D) Heart rates (*P = 0.01; n = 6–7 per group). (E) CSNRT (*P = 0.04; n = 6 per group). (F) Responses to isoproterenol (P > 0.05 for all doses excluding 100 nM, *P < 0.05; n = 6–7 per group).

An advantage of the STZ model of type I diabetes is that it allowed us to focus on hyperglycemia as an upstream cause of increased mortality after MI. In order to test whether the increase in mortality and SND in our STZ and MI model was specifically due to hyperglycemia, we treated WT STZ and MI mice with insulin, which corrected STZ-induced hyperglycemia (Supplemental Figure 1). We confirmed that increased mortality after MI required hyperglycemia, because mortality after MI was reduced to control levels by insulin replacement (Figure 1A). WT STZ-treated mice rescued by exogenous insulin were resistant to SND, showing improved resting (Figure 1D) and activity-induced heart rate increases (Figure 1F). These findings suggest that hyperglycemia alone is sufficient to increase mortality after MI and show that potential off-target actions of STZ are unlikely to contribute to SND.

ox-CaMKII is increased in diabetic patients and STZ-treated mice. Increased ROS is a consistent feature of diabetes and is thought to contribute to diabetic heart disease (11). We recently identified CaMKII as an oxidant sensor (1517) and found that excessive SAN ox-CaMKII was associated with SND in patients and caused SND in mice infused with angiotensin II (17). Based on the apparent relationship between ox-CaMKII and SND, we next asked whether ox-CaMKII was elevated in myocardia from diabetic patients and mice. We measured ox-CaMKII using an antiserum against oxidized methionines (methionines 281/282) (15, 17) from right atrial samples, nearby to the SAN. We found significantly increased expression of ox-CaMKII in myocardia from patients with a history of MI and diabetes compared with that in patients with a history of MI but without diabetes (Figure 3A and Supplemental Table 3). Similarly, ox-CaMKII was significantly increased in right atrial and SAN tissues from STZ-treated diabetic mice compared with those from nondiabetic mice (Figure 3, B and C). In contrast to the changes in ox-CaMKII, total right atrial CaMKII expression was equivalent in patients with or without diabetes and in diabetic and nondiabetic mice (Figure 3, A–C), suggesting that diabetes predominantly affects CaMKII by posttranslational activation. ox-CaMKII is constitutively active, even in the absence of Ca2+/calmodulin (15), so we next tested whether increased ox-CaMKII resulted in more Ca2+/calmodulin-autonomous CaMKII activity. As expected, the cardiac lysates from STZ-treated diabetic mice had significantly increased Ca2+- and calmodulin-independent autonomous CaMKII activity compared with vehicle-treated control hearts (Figure 3D). These findings show that ox-CaMKII is increased in diabetic hearts from patients and mice. The parallel increases in ox-CaMKII in myocardial tissues from diabetic mice and patients suggest that ox-CaMKII may contribute to high mortality rates in diabetic patients who suffer from MI, potentially by inducing SND.

Increased ox-CaMKII in diabetic patients and mice.Figure 3

Increased ox-CaMKII in diabetic patients and mice. (A) Representative immunoblots from right atrial tissues obtained from patients with or without diabetes mellitus and with MI. Band intensity was normalized to Coomassie staining. Summary data show CaMKII (P = 0.7), ox-CaMKII (*P = 0.02), and ox-CaMKII/CaMKII (**P = 0.03) in patients with diabetes mellitus (DM) and MI (n = 5) and MI alone (n = 5). Lanes were run on the same gel but were noncontiguous. (B) Representative immunoblots from right atria tissue obtained from STZ- or vehicle-treated mice. Summary data show CaMKII (P = 0.3), ox-CaMKII (*P = 0.04), and ox-CaMKII/CaMKII (*P = 0.04) in STZ- (n = 5) and vehicle-treated mice (n = 4). Lanes were run on the same gel but were noncontiguous. Band intensity was normalized to Coomassie staining. (C) Representative immunofluorescence images in SAN from mice treated with vehicle or STZ. HCN4 (green) marks SAN, and DAPI (blue) marks nuclei. Scale bars: 50 μm. Summary data show CaMKII (P = 0.8) and ox-CaMKII (**P = 0.005) in STZ- (n = 5) and vehicle-treated mice (n = 3). (D) Ca2+/calmodulin-independent autonomous activity (*P = 0.03, left), full activity (P = 0.08, middle), and autonomous/full activity (**P = 0.01, right) in hearts from STZ- (n = 6) and vehicle-treated mice (n = 4).

STZ-treated mice had SND but did not die spontaneously over the time course of our study, suggesting that MI may trigger more extensive SND by enhancing SAN oxidation. To test this idea, we measured SAN oxidation in STZ- and vehicle-treated mice with and without MI. We found that STZ treatment alone markedly increased SAN ROS, as detected by the ROS fluorescent indicator dihydroethidium (DHE), while MI approximately doubled the intensity of DHE fluorescence and ox-CaMKII in STZ-treated mice compared with vehicle-treated mice (Supplemental Figure 4, A and B), suggesting that MI and diabetes independently promote oxidation in SAN.

Oxidation-resistant CaMKII eliminates increased mortality from STZ after MI. The MM-VV mutation in CaMKIIδ selectively disables oxidative activation of CaMKII without affecting normal Ca2+/calmodulin-dependent CaMKII activation or the transition to Ca2+/calmodulin-independent activation by threonine 287 autophosphorylation (15). The MM-VV mice (Supplemental Figure 5) had an increase in blood glucose after STZ treatment (Supplemental Figure 1) and an increase in ROS in right atrial tissues, as measured by DHE (Supplemental Figure 6), that was equivalent to that in WT STZ-treated mice, but MM-VV STZ-treated mouse hearts had significantly less ox-CaMKII expression compared with STZ-treated WT controls in right atrial tissues (Figure 4A) and SAN (Figure 4B). Although MM-VV mice without STZ treatment had similar survival after MI compared with WT mice (Supplemental Figure 2B), the MM-VV diabetic mice were significantly resistant to increased mortality after MI compared with WT diabetic controls (Figure 1A), despite similar left ventricle contractile function and volumes after MI compared with WT diabetic mice (Supplemental Figure 7). The MM-VV STZ-treated mice were resistant to SND after MI, with improvement in resting heart rate (Figure 1D), reduced episodes of very low heart rate (<200 beats per minute) (Figure 1E), and improved activity-related heart rate increases (Figure 1F) compared with STZ-treated WT controls after MI. The distribution of spontaneous activity was similar between MM-VV and WT diabetic mice after MI (Supplemental Figure 3), further suggesting that improved survival in MM-VV mice was not due to generally improved well-being or enhanced myocardial function. We next measured the effects of STZ treatment without MI on SAN function, in the absence of autonomic innervation, using Langendorff-perfused hearts isolated from MM-VV and WT control mice. Hearts from the STZ-treated MM-VV diabetic mice showed improvement in intrinsic sinus node function, as measured by increased spontaneous heart rate (Figure 2A), decreased CSNRT (Figure 2B), and improved heart rate responses to isoproterenol (Figure 2C), compared with WT diabetic mice. These results show that selective ablation of methionines 281/282 on CaMKIIδ is sufficient to protect against STZ-induced oxidant SAN injury and to indicate that oxidation of CaMKIIδ is required for excess mortality in mice with diabetes after MI.

Oxidation-resistant CaMKII and myocardial CaMKII inhibition protects againsFigure 4

Oxidation-resistant CaMKII and myocardial CaMKII inhibition protects against SAN cell death and fibrosis. (A) Representative immunoblots and Coomassie-stained gels from right atria of STZ-treated MM-VV and WT mice. CaMKII (**P = 0.001), ox-CaMKII (***P ≤ 0.001), and ox-CaMKII/CaMKII (*P = 0.002) in MM-VV (n = 5) and WT STZ-treated mice (n = 4). (B) Representative immunofluorescence images of SAN from MM-VV and WT STZ-treated mice. Scale bars: 50 μm. CaMKII (P = 0.09) and ox-CaMKII (*P = 0.02) in MM-VV (n = 4) and WT STZ-treated mice (n = 5). HCN4 (green) marks SAN, and DAPI (blue) marks nuclei. (C) Representative SAN sections show TUNEL-positive staining (72) in WT mice after vehicle or STZ treatment and in MM-VV and AC3-I mice after STZ treatment. DAPI (blue) marks nuclei, HCN4 (green) marks SAN. Scale bars: 50 μm. Overall P < 0.0001, ***P < 0.001 by 1-way ANOVA (n = 3–5 per group). (D) Caspase-3 activity in SAN from WT mice after vehicle or STZ treatment and in MM-VV and AC3-I mice after STZ treatment. Overall P = 0.007, *P < 0.05, **P < 0.01 by 1-way ANOVA (n = 3 per group). (E) Representative Masson’s trichrome staining for fibrosis in SAN from STZ-treated WT, MM-VV, and AC3-I mice. Scale bars: 20 μm. Overall P = 0.005, **P < 0.01, ***P < 0.001 by 1-way ANOVA (n = 3–4 per group).

CaMKII inhibition protects against SND and mortality. The MM-VV knockin mutation occurs in all tissues expressing CaMKIIδ, so it is possible that the improved SAN function and improved survival in these mice were due to unanticipated extra-myocardial effects of oxidation-resistant CaMKIIδ. With this thought in mind, we next asked whether cardiac-selective CaMKII inhibition was sufficient to prevent increased mortality and SND in STZ-treated mice after MI. We subjected transgenic mice with myocardial- (21) and SAN-delimited (17) transgenic expression of AC3-I, a synthetic peptide with inhibitory activity against all CaMKII isoforms, to MI surgery after STZ or vehicle injection. Similar to the MM-VV mice, the AC3-I diabetic mice had significant improvement in survival after MI (Figure 1A), without showing evidence of improved left ventricle contractile function or different left ventricular volumes compared with those of WT diabetic mice (Supplemental Figure 7). These findings suggest that improved survival was not due to improvement in left ventricular structure or function. AC3-I diabetic mice were also resistant to SND, as shown by improvement in resting heart rate (Figure 1D), reduced episodes of severe heart rate slowing (Figure 1E), and increased activity-responsive increases in heart rate (Figure 1F), after MI compared with WT diabetic mice after MI. We next examined SAN function in STZ-treated AC3-I and WT control hearts in the absence of MI. Langendorff-perfused hearts isolated from AC3-I diabetic mice showed improvement in intrinsic sinus node function, as measured by increased spontaneous heart rates (Figure 2A) and decreased CSNRT (Figure 2B), compared with those from WT diabetic mice. The response in heart rate to isoproterenol in AC3-I hearts was blunted (Figure 2C), as expected based on the role of CaMKII to promote β adrenergic receptor agonist increases in heart rate (34). These results suggest that myocardial- and SAN-selective CaMKII inhibition protects against SND and excessive mortality after MI in diabetic mice.

We next asked whether SAN-targeted CaMKII inhibition was sufficient to prevent SND in the absence of “global” cardiac CaMKII inhibition. We used a SAN-targeted gene transfer technique (17) to deliver the most potent and selective known biological CaMKII inhibitor, CAMKIIN, a peptide that is endogenously expressed in brain but not in heart (35). Adenovirus encoding CaMKIIN and EGFP or an adenovirus encoding EGFP alone was painted on SAN of WT mice treated with STZ. Langendorff-perfused hearts isolated from diabetic mice after SAN painting with adenovirus expressing CaMKIIN and EGFP, compared with those painted with adenovirus expressing EGFP alone, showed improved resting heart rate (Figure 2D) and reduced CSNRT (Figure 2E). Similar to that in AC3-I hearts, the response in heart rate to isoproterenol in mice with SAN CaMKIIN expression was blunted (Figure 2F). These data confirm that SAN-targeted CaMKII inhibition protects against diabetes-induced SND.

Diabetes causes SND by CaMKII-triggered SAN cell apoptosis and fibrosis. Cardiomyocyte apoptosis and ROS are increased in diabetes but the molecular mechanism for connecting increased oxidant stress to diabetes-mediated apoptosis is uncertain (36, 37). Excessive ox-CaMKII activity also promotes apoptosis, leading to maladaptive cardiovascular responses to injury, including SND (15, 17). The SAN consists of a small group of highly specialized pacemaker cells that reside in the lateral right atrium. The relatively small number of cells in the SAN, compared with the larger number of contracting myocardial cells, make physiological SAN function particularly vulnerable to SAN cell death; SND occurs when SAN cell loss exceeds a threshold value, leading to a source-sink mismatch between SAN and surrounding atrial myocardium (17). We found significantly increased TUNEL staining and caspase-3 activity, indicating increased cell death, in right atrial tissues containing SAN (Figure 4, C and D) from diabetic mice compared with those from nondiabetic mice. In contrast, MM-VV and AC3-I mice were resistant to diabetes-induced increases in TUNEL staining and caspase-3 activity (Figure 4, C and D). MM-VV and AC3-I mice treated with STZ and subjected to MI were protected from SAN apoptosis compared with WT controls (Supplemental Figure 8). These findings are consistent with a concept that SND arises from STZ and MI as a form of oxidant injury that requires SAN ox-CaMKII–mediated SAN cell death.

SAN tissue from patients with SND is also marked by increased fibrosis and destruction of normal architecture that may contribute to conduction slowing and defective impulse transmission (32, 38). In order to test whether diabetes causes SAN fibrosis characteristic of patients with SND, we quantified SAN and atrial collagen by Masson’s trichrome staining. Collagen expression within the SAN was higher in diabetic mice compared with that in nondiabetic mice (Figure 4E). In contrast, MM-VV and AC3-I diabetic mice did not exhibit increased fibrosis (Figure 4E). Taken together, these data show that diabetes promotes ox-CaMKII, SAN cell apoptosis, fibrosis, and SND.

In order to quantify the contribution of SAN cell death to SND in our STZ and MI model, we incorporated measured values for SAN cell loss from nondiabetic and diabetic mice into a 2-dimensional computational model of SAN, based on histologically reconstructed right atrial geometry (17). Normal activation of the atrial myocardium (vehicle treated in Figure 5A) was triggered by a regular impulse that initiates in the central SAN. Our mathematical model revealed that increased cell loss in diabetic hearts greatly disrupted the normal capture of atrial myocardium by SAN impulses. Specifically, the model with increased cell loss displayed a shift of the lead pacemaker site toward the SAN periphery, a delay in conduction time from the SAN to the atrial myocardium, and slowing of heart rate comparable to experimentally measured values (Figure 5A and Supplemental Videos 1 and 2). Thus, our mathematical model of the intact SAN predicts that cell loss alone can produce SND characterized by slowed heart rate. We next measured spontaneous impulse formation in current-clamped SAN cells isolated from diabetic and vehicle-infused control mice. SAN cells from both groups showed similar spontaneous automaticity at baseline and in response to isoproterenol (Supplemental Figure 9), suggesting that SAN cell loss in STZ-treated mice, rather than defects in the function of surviving SAN cells, was the primary cause of STZ-induced SND. Thus, computational and experimental analyses support a view that excessive SAN cell death is a fundamental event causing increased mortality after MI in the setting of diabetes.

SAN cell death and fibrosis lead to decreased conduction velocity and spontFigure 5

SAN cell death and fibrosis lead to decreased conduction velocity and spontaneous beating. (A) Cell loss data from vehicle- and STZ-treated WT mice were incorporated into a 2-dimensional histologically reconstructed mathematical model of the intact sinoatrial node (action potentials from central [Cen] and peripheral [Per] SAN and right atrium are shown). The STZ model with 19% cell loss in the SAN predicts a shift of lead pacemaker site (red asterisks on action potential traces), slowing of conduction time and block (double red lines on action potential traces), and decreased heart rate similar to experimental measurements. Red arrows denote direction of action potential propagation. (B) Mouse atria prepared for optical measurements (left). Original magnification, ×20. Representative pseudocolored isochrones from optical mapping (middle and right). SVC, superior vena cava; AVN, atrioventricular node; IVC, inferior vena cava; LA, left atrium; RA, right atrium; LV, left ventricle; RV, right ventricle; CT, crista terminalis. White asterisks denote the earliest activation in the SAN. (C) Conduction velocity during pacing in STZ- and vehicle-treated mice in the absence (**P = 0.004; n = 5 per group) and presence of isoproterenol (3 nM, *P = 0.01; n = 5 per group). (D) Heart rate in isolated atria in the absence (*P = 0.03; n = 4–5 per group) or presence of isoproterenol (ISO; 3 nM, **P = 0.0056; n = 4–5 per group).

Patients with SND exhibit widespread atrial electrophysiological abnormalities secondary to destruction of normal SAN architecture, leading to slowed conduction velocity (32). To determine whether STZ-induced diabetes slowed conduction velocity, we performed potentiometric optical mapping in isolated atria from STZ- and vehicle-treated mice. To control for differences in intrinsic heart rate between STZ- and vehicle-treated mice, we measured conduction velocity in isolated atria during fixed rate stimulation. We found significantly decreased conduction velocity in STZ-treated mice compared with that in control mice in the absence and presence of isoproterenol (Figure 5C). In addition, heart rates were significantly slower in isolated atria from diabetic hearts compared with nondiabetic counterparts (Figure 5D). Furthermore, atria isolated from STZ-treated mice also showed impaired responses to isoproterenol (Figure 5D). Taken together, these findings support a view that STZ treatment resulted in SND that was caused, at least in part, by intrinsic defects in SAN function. Our optical mapping studies (Figure 5, B and C) and computational modeling (Figure 5A) also support the concept that atrial myocardium is injured by STZ treatment, as evidenced by decreased conduction velocity measured throughout the atrial tissues.

Mitochondria are the source of ROS for increasing ox-CaMKII in diabetes and MI. Diabetes is known to increase ROS production in mitochondria and apoptosis in cardiomyocytes (11, 36, 37), but to our knowledge mitochondrial ROS generation has not been linked to SND in diabetes. To determine whether diabetes causes SND by enhancing mitochondrial ROS generation and SAN ox-CaMKII, we implanted mice with osmotic mini-pumps eluting MitoTEMPO (700 μg/kg/d), a mitochondrial targeted ROS scavenger with generalized antioxidant activities, including superoxide dismutase (39, 40), immediately prior to STZ treatment. The ROS levels measured by DHE (Supplemental Figure 10) and ox-CaMKII levels were significantly reduced in SAN from MitoTEMPO-treated mice compared with those in control diabetic mice (Figure 6A). MitoTEMPO-treated diabetic mice had significantly fewer TUNEL-stained SAN cells (Figure 6B) and decreased fibrosis compared with control diabetic mice (Figure 6C). p47phox encodes a cytosolic regulatory subunit of NADPH oxidase, a multicomponent ROS-generating enzyme complex. Angiotensin II, aldosterone, and MI all increase ox-CaMKII, at least in part, by activating a p47phox containing NADPH oxidase (1517). In contrast, STZ treatment does not appear to increase ox-CaMKII by activating NADPH oxidase, because Ncf1–/– (p47phox–/–) STZ-treated mice were not protected from increases in ox-CaMKII or SAN cell apoptosis and fibrosis after MI (Figure 6, A–C). MitoTEMPO-treated diabetic mice, but not Ncf1–/– diabetic mice, had improved survival after MI (Figure 1A), despite similar left ventricle contractile function and chamber volumes after MI compared with WT diabetic mice (Supplemental Figure 7). MitoTEMPO-treated diabetic mice, but not Ncf1–/– diabetic mice, were also resistant to SND, as evidenced by improvement in heart rate at rest (Figure 1D), significantly decreased episodes of heart rate ≤200 beats per minute (Figure 1E), and enhanced heart rate response to activity (Figure 1F) after MI compared with WT diabetic mice. We examined the effects of STZ treatment without MI in the absence of autonomic innervation using Langendorff-perfused hearts isolated from MitoTEMPO- and STZ-treated WT mice and STZ-treated Ncf1–/– mice. MitoTEMPO infusion improved heart rates (Figure 2A), normalized CSNRT (Figure 2B), and restored control level heart rate responses to isoproterenol (Figure 2C) compared with WT diabetic and Ncf1–/– diabetic mice. In contrast, Ncf1–/– diabetic mice had heart rate responses similar to those of WT diabetic mice (Figure 2C). We interpret these data to indicate that mitochondrial generated ROS is required for diabetes-induced ox-CaMKII elevation, increased SAN cell death, and SND and to suggest that multiple, injury-specific sources of ROS have the potential to oxidize CaMKII and induce pathological consequences in heart.

Mitochondrial ROS increases ox-CaMKII and SAN cell death.Figure 6

Mitochondrial ROS increases ox-CaMKII and SAN cell death. (AC) SAN staining from WT mice treated with STZ alone and MitoTEMPO and STZ and Ncf1–/– mice treated with STZ. DAPI (blue) marks nuclei, HCN4 (green) marks SAN. Scale bars: 50 μm. (A) Representative sections show ox-CaMKII expression. Overall P = 0.006, **P < 0.01 by 1-way ANOVA (n = 3–5 per group). (B) Representative sections show TUNEL-positive cells. Overall P = 0.0006, ***P < 0.01 by 1-way ANOVA (n = 3–7 per group). (C) Fibrosis measured by Masson’s trichrome staining. Overall P = 0.016, *P < 0.05 by 1-way ANOVA (n = 3–4 per group). (D) Proposed model for CaMKII activation by STZ-induced diabetes. STZ-induced hyperglycemia and MI promote mitochondrial ROS generation, which activates ox-CaMKII to cause SND, leading to increased mortality after MI.

Based on the requirement for increased glucose for SND phenotypes (Figure 1, D–F), we next used cultured neonatal myocytes to determine whether elevated glucose was sufficient to increase mitochondrial ROS and/or apoptosis. Neonatal myocytes responded to high glucose (33 mM), a concentration similar to the elevated plasma glucose levels in diabetic mice, with increased ROS and apoptosis (Supplemental Figure 11). In contrast, neither a lower glucose concentration (5 mM) nor mannitol (33 mM), a metabolically inert glucose congener, increased ROS or apoptosis. ROS and apoptosis were reduced by MitoTEMPO (1 mM) (Supplemental Figure 11). Neonatal cardiomyocytes isolated from MM-VV mice responded to high glucose treatment with increased ROS but not apoptosis (Supplemental Figure 11). These findings support the hypothesis that hyperglycemia in diabetic mice stimulates mitochondrial ROS production, leading to apoptosis.

Discussion

Elevated ROS is a consistent finding in cardiovascular diseases, but understanding of defined molecular targets and pathways that connect increased oxidation with disease phenotypes is limited (11, 14, 38, 41). Here we show that selective ablation of oxidative activation of CaMKIIδ was sufficient to eliminate the increased risk of sudden death in diabetic mice after MI. The hearts from MM-VV diabetic mice exhibited a normal heart rate response to isoproterenol, showing that oxidation of CaMKII is not required for fight-or-flight physiological responses and suggesting that β adrenergic receptor activation was not a decisive factor in oxidative injury for STZ-treated mice after MI. Our MM-VV mutant mouse only targeted the CaMKIIδ isoform. The finding that ox-CaMKIIδ–resistant MM-VV mice were not susceptible to STZ-induced SND or increased mortality after MI is potentially consistent with recent studies showing that CaMKIIδ–/– mice with residual CaMKII activity, presumably due to CaMKIIδ-alternative CaMKII isoforms, were nevertheless resistant to cardiac injury (19, 20). Our studies identified SAN as a critical target of a novel and unanticipated oxidation-sensitive molecular pathway underlying increased mortality after MI in diabetic mice. This ox-CaMKII pathway may also increase mortality risk in diabetic patients, who show more severe heart rate defects consistent with SND (22, 23, 31) and higher right atrial ox-CaMKII than nondiabetic patients after MI. Because multiple tissues are injured in diabetes, it will be important to learn if ox-CaMKII contributes to progression of diverse forms of diabetic injury, such as diabetic vasculopathy and neuropathy. It is intriguing that CaMKII inhibition was recently found to improve insulin sensitivity in diabetes (42), suggesting that CaMKII inhibition could benefit diabetic patients by multiple mechanisms and pathways.

Increased rates of sudden cardiac death after MI in diabetic patients are due to arrhythmia (4, 6, 8, 30), and some data suggest excessively slow heart rates contribute to this excess mortality. For example, among the 41,021 patients of the GUSTO-I cohort, a study demonstrating that diabetic patients had increased mortality after acute MI despite contemporary thrombolysis, the rates of bradycardia were consistently higher among diabetic patients (6). Furthermore, loss of heart rate variability, a marker of SAN and autonomic nerve function that is defective in diabetic patients, positively correlates with increased acute mortality after MI (43). Although reduced heart rate variability, a feature of SND, could be due to intrinsic SAN defects, loss of normal autonomic function, or a combination of both, our ex vivo findings indicate that STZ treatment directly affects SAN, causing intrinsic SND by increased apoptosis, fibrosis, and subsequent electrical source-sink mismatch between SAN and myocardium. Our findings do not dispute a role for autonomic dysfunction in diabetes-induced defects in heart rate but appear consistent with other evidence showing diabetes causes pathological effects on SAN (4446).

Our findings suggest that SAN injury induced by hyperglycemia sensitizes the SAN to MI-induced dysfunction, as evidenced by profoundly slow heart rates, low cardiac output, and death. Our study suggests that MI aggravates SND by further increasing ROS, ox-CaMKII, and apoptosis of SAN cells in diabetic mice. We conclude that increased acute mortality after MI in diabetic mice is primarily caused by SND, but our findings do not exclude the possibility of other contributing factors. For example, left ventricular end diastolic volumes in our diabetic mice did not increase, despite increased filling time as a result of profound bradycardia (Supplemental Table 2), suggesting that STZ-treated mice after MI have diastolic dysfunction, a recognized feature of diabetic cardiomyopathy (47). Furthermore, MI activates a multitude of neurohumoral factors, including the renin-angiotensin system, which could also contribute to SND (17).

Clinical trials have shown that optimal glucose management reduces mortality from cardiovascular diseases in diabetic patients (48, 49). However, the more recent ACCORD study reported conflicting results, which indicated that intensive glucose lowering was not beneficial for cardiovascular mortality (50). Nevertheless, meta-analysis on major randomized trials, including the ACCORD study, concluded that intensive control groups (0.9% A1C reduction over 5 years) significantly reduced events of nonfatal MI by 17% and coronary heart disease by 15% (51). It appears that the glucose level itself, not the form of glucose intolerance, may be the key driver of mortality risk in diabetic patients suffering from MI. In support of this view is a meta-analysis report in which nondiabetic patients presenting with hyperglycemia had a similar risk of mortality as that for diabetic patients after MI (52). Our studies showed that increased diabetes-attributable mortality in STZ-treated mice was prevented after insulin replacement, demonstrating that hyperglycemia rather than off-target actions of STZ caused increased mortality after MI. Our study used an STZ-induced model of type 1 diabetes with severe hyperglycemia. This model is limited, as it lacks the metabolic complexity of type 2 diabetes, a condition that represents the majority of the diabetic population. The hyperglycemia level in STZ-treated mice may not mimic the levels in the diabetic population exactly. Nevertheless, the STZ model of type 1 diabetes allows a clear focus on the role of hyperglycemia, which is the key metabolic alteration in both type 1 and type 2 diabetes.

Despite of the availability of insulin therapy, glycemic control remains a major challenge in diabetes management (53, 54). Inadequate glycemic control likely accounts for the high prevalence of diabetic complications, such as MI, and the associated significant morbidity and mortality. Hyperglycemia is common in patients with MI and tends to persist throughout the early period after infarction (5557). For example, in a study of approximately 30,000 patients admitted to hospitals with acute MI, about half of the patients were hyperglycemic and had significantly higher mortality early after MI compared with their normoglycemic counterparts (52, 56). We interpret the data from our human specimens to show that increased ox-CaMKII may be a feature of human diabetes in the setting of MI but recognize that our data set is not adequately powered for subgroup analysis. We also acknowledge the limitations of this study using patient samples with an antecedent MI in the context of focusing on ox-CaMKII in mice in the peri-MI setting. Nevertheless, our observations suggest that increased ox-CaMKII may be a marker of poor glycemic control in patients with coronary artery disease. Therefore, it is possible that the benefits of glucose control are due, at least in part, to reduction in ox-CaMKII.

Increased oxidative stress brought about by hyperglycemia is an important link between diabetes and its cardiac complications (11, 12). Until now, the cellular source of ROS known to oxidize CaMKII was NADPH oxidase (1517). Here we show that STZ treatment increased ox-CaMKII by augmenting mitochondrial ROS, apparently independent of NADPH oxidases. Increased glucose in vivo, due to STZ treatment, or in vitro was required to increase ROS, while infused MitoTEMPO effectively suppressed hyperglycemia-induced ROS, SND, and sudden death. Mitochondria constitutively generate superoxide radicals as a by-product of electron transport and are also important sources for intracellular ROS production triggered by hyperglycemia (58, 59). Our current findings, taken together with earlier studies (1517), suggest that CaMKII is available for oxidation by multiple pathways. The finding that myocardia from STZ-treated MM-VV mice had equivalent increases in ROS compared with controls shows that ox-CaMKIIδ is downstream to ROS for causing SND and increased mortality after MI. However, CaMKIIγ has been implicated in enhancing mitochondrial Ca2+, a process that could potentially promote mitochondrial ROS generation (60), and we recently found that CaMKII increased mitochondrial Ca2+ entry by activating the mitochondrial Ca2+ uniporter (61). Thus, it is possible that CaMKII contributes to ROS generation after STZ treatment, functioning as an “upstream” and “downstream” signal in oxidative injury. The trend toward reduced STZ-induced ROS in AC3-I mice (Supplemental Figure 6) is potentially consistent with this concept, because AC3-I inhibits all CaMKII isoforms. We used AC3-I mice to compare the effects of global myocardial CaMKII inhibition with MM-VV mice that are selectively protected from oxidative activation of CaMKIIδ.

We originally identified ox-CaMKII in response to angiotensin II stimulation of myocardium (15). The renin-angiotensin system is activated in diabetes, and angiotensin II inhibition was shown to be even more beneficial in improving mortality after MI in diabetic patients than in nondiabetic patients (62, 63). Both angiotensin II antagonists (62, 63) and anti-hyperglycemic therapy (51) improve mortality in diabetic patients after MI. These data from clinical trials raise the issue of whether some of the benefits of validated, conventional therapies for diabetes work by reducing ox-CaMKII. Our findings are consistent with the idea that ox-CaMKII could be a “diabetic factor” and suggest that CaMKII inhibition or antioxidant therapy targeted to CaMKII or mitochondria could be effective preventive therapies for diabetic patients at high risk for MI.

Methods

Mouse models. We performed our studies on male and female mice with C57BL/6 backgrounds at approximately 3–5 months of age. Mice lacking the Ncf1 gene (Ncf1–/– mice) were purchased from The Jackson Laboratory. Mice with transgenic myocardial CaMKII inhibition (AC3-I mice) were generated by us, as previously described (21). MM-VV mice were generated as follows (Supplemental Figure 5): the 2 homologous arms, left arm (LA, containing exons 9–12) and right arm (RA, containing exon 13), were directly amplified via high-fidelity PCR using the genomic DNA prepared from a murine ES cell strain W4 (129/SvEvTac). The mutations were created in exon 11 of LA. The LA and RA were cloned into OSDupDel.Neo, a generic targeting vector containing both Lox-P–flanked Neo cassette (MC1-Neo) and thymidine kinase cassette (PGK-TK) to obtain a final targeting construct. The targeting construct linearized with NotI was electroporated into W4 cells. After selection with G418, targeted homologous replacement recombinants were identified by specific PCRs and by DNA sequencing. The confirmed ES cell lines were microinjected into C57BL/6J blastocysts (Uteri transfer) to obtain chimeras that were crossed with C57BL/6J to verify germ line transmission. The transmitted germ lines were mated with EIIa-Cre Tg mice (C57BL/6J, The Jackson Laboratory) to obtain final allele with Neo cassette removal. These heterozygote mice (64) were bred to obtain homozygote knockin mice identified by PCR genotyping using tail DNA.

STZ-induced diabetic model. After overnight fast, mice were injected intraperitoneally with streptozocin (150 mg/kg, Sigma-Aldrich) dissolved in a mix of citrate buffer (citric acid and sodium citrate, pH 4.8) or vehicle (citrate buffer). Blood glucose was checked 3–5 days later via tail vein; mice with a blood glucose level above 300 mg/dl were considered diabetic. For a subset of animals, long acting insulin (Lantus) was injected subcutaneously every 24 hours 3–5 days after STZ treatment to maintain normoglycemia.

MI and ECG and activity telemetry. Mice were anesthetized with ketamine/xylazine (87.5/12.5 mg/kg), and left anterior descending artery was ligated with 8-0 suture, as previously described (15). Sham surgery was conducted by thoracotomy without LAD ligation. Cardiac rupture was identified by blood clotting in the chest cavity and ventricular wall tearing. ECG transmitters (Data Sciences International) were inserted into the abdominal cavity with subcutaneous electrodes in a lead I configuration. Upon recovery from surgery, continuous 24-hour recordings were started and continued for 1 week or sooner if mice died. At the end of each experiment, the data were extracted and analyzed for resting heart rate (defined as heart rate when activity was 0), heart rate response to activity, and arrhythmias. We defined spontaneous SND episodes as events of severe bradycardia, with heart rates of less than 200 beats per minute.

Mini-osmotic pump implantation. Micro-osmotic pumps (Alzet model 1004, 0.11 μl/h, 28 days) containing MitoTEMPO (700 μg/kg/d) were inserted subcutaneously into mice under anesthesia (ketamine/xylazine, 87.5/12.5 mg/kg), as reported previously (15).

Transthoracic echocardiography. We recorded transthoracic echocardiograms in conscious mice after MI, as previously described (65). Images were acquired and analyzed by an operator blinded to mouse genotype and treatment.

Human samples. Right atrial tissues were obtained from patients who had MI, with or without diabetes (Supplemental Table 3), as published previously (66).

SAN painting. Mice were painted within 1 week after STZ treatment, as previously described (17). Briefly, a mixture of 40% poloxamer, 1% trypsin, and 0.25% collagenase dissolved in PBS was added to equal volume of recombinant adenovirus-expressing plasmid for CaMKIIN-EGFP in an IRES vector or EGFP alone. Mice were anesthetized using ketamine/xylazine (87.5/12.5 mg/kg, respectively). The gel was applied to the posterior surface of the junction of the superior vena cava and right atrium with a fine brush 3 times, with intervening periods of drying. Mice were sacrificed after 5 to 7 days, and hearts were harvested for ex vivo studies.

Langendorff perfusion and ex vivo ECG recording. Excised hearts were quickly mounted on a modified Langendorff apparatus, as described previously (34). ECGs were continuously recorded with Ag+/AgCl electrodes positioned around the hearts in an approximate Einthoven configuration, as previously described (17). Langendorff-perfused hearts were stimulated with a pair of electrodes placed on the right atrium. Sinus node recovery time was measured after a 30-second pacing train, with a basic cycle length of 100 ms. For these studies, the sinus node recovery time was defined as the interval between the last stimulus in the pacing train and the onset of first sinus return beat. The CSNRT was calculated by subtracting the baseline cycle length from the sinus node recovery time.

SAN and atrial optical mapping. Optical mapping of spontaneous pacemaker activity and conduction velocity were performed as described previously (17).

SAN tissue isolation. Mice were sacrificed, and hearts were excised and placed in Tyrode’s solution (35°C), consisting of 140 mM NaCl, 5.0 mM HEPES, 5.5 mM glucose, 5.4 mM KCl, 1.8 mM CaCl2, 1.0 mM MgCl2, with pH adjusted to 7.4 with NaOH. The SAN region, delimited by the crista terminalis, atrial septum, and orifice of the superior vena cava, was dissected from the heart as previously described (17).

Immunofluorescence staining and SAN identification. The SAN tissues were cryopreserved and sectioned at 14-μm thickness. We used anti-HCN4 antibodies to identify the SAN region (34). For all immunofluorescence staining, the slides were fixed and incubated with a blocking buffer and subsequently with the primary antibody to the protein of interest (rabbit anti-mouse ox-CaMKII and mouse anti–C-terminal CaMKII antibodies were developed by us) with HCN4 antibody (rat anti-human HCN4, Abcam), as previously described (17). For TUNEL staining, tissues were incubated using the In Situ Cell Death Detection Kit (Roche) for 1 hour at 37°C, washed with PBS, and then mounted with DAPI Vectashield Medium (Vector Laboratories).

Immunoblotting. SAN tissues were homogenized in modified RIPA buffer (50 mM HEPES, pH 7.5, 150 mM NaCl, 5 mM EDTA, 1% v/v NP-40, and 0.5% w/v deoxycholate), containing a mixture of protease and phosphatase inhibitors. Equal amounts of protein were loaded on NuPAGE gels (Invitrogen) and transferred onto PVDF membranes (Bio-Rad). Blots were blocked, incubated in primary antibodies (ox-CaMKII and CaMKII) and subsequently with HRP-conjugated secondary antibodies, and finally detected using ECL reagent (Lumi-Light, Roche) as previously described (17). For quantification, band intensity was normalized to the entire Coomassie-stained gel using ImageJ software (NIH). Full uncut gels are shown in the Supplemental Material.

ROS detection. After cells or SAN sections were washed in warm PBS, DHE was applied for 30 minutes at 37°C, as previously described (16). Fluorescence was detected with a laser scanning confocal microscope (Zeiss 510 and 710; excitation at 488 nm and detection at 585 nm by using a long-pass filter).

Caspase-3 activity assay. SAN tissue was homogenized in lysis buffer consisting of 50 mM Tris-HCl, pH 7.5, 100 mM KCl, 1 mM EDTA, 1 mM EGTA, 1 mM DTT, 0.1 mM PMSF, 0.5 mM benzamidine, 20 mg/l leupeptin, 1,000 mM microcystin, 20 mM sodium pyrophosphate, 50 mM NaF, and 50 mM sodium β-glycerophosphate, and total protein content was determined by the Bradford assay. Caspase-3 activity was determined by the EnzChek Caspase-3 Assay Kit (Invitrogen) as previously described (17).

Fibrosis detection and quantification. Masson’s trichrome staining was used to assess fibrosis. We defined the SAN by HCN4-positive immunostaining (34). The images were imported into ImageJ (NIH), and the pixels of blue staining were analyzed in the intranodal region (within the core SA node).

Isolated SAN cell action potential recording. SAN cells were isolated, and spontaneous single cell action potentials were recorded in current clamp mode using the perforated patch configuration at 36°C, as described previously (34).

Neonatal cardiomyocyte culture. Hearts were digested with trypsin and collagenase II, incubated in media consisting of 40% F10, 40% DMEM, 5% FBS, 5% ES for 24 hours, then in defined media for 24 hours as previously described (16), and subsequently exposed overnight to defined media with either glucose at low (5 mM) or high concentrations (33 mM) or mannitol (33 mM) and cotreated with or without MitoTEMPO (1 mM).

Mathematical modeling. Model geometry was represented as a 2-dimensional 400 × 45 rectangular grid with a spatial resolution of 40 μm. Cell types in different regions of the model were determined by histologically reconstructed sections through the rabbit RA, as described previously (17, 67, 68). Cell loss in the SAN was simulated by randomly replacing a percentage of normal SAN cells (1% for vehicle treated and 19% for STZ treated) with poorly coupled inexcitable cells. Detailed mathematical models were used to simulate central SANC, peripheral SANC, and atrial action potentials (Supplemental Table 4 and refs. 69, 70). Regional differences in cell size, coupling, and ion channel expression within the node were taken into account by making cell properties a function of space, following the previously described approach (68) (see Supplemental Equations). The 2-dimensional cable equation describing action potential propagation was solved using an alternating direction implicit method and a fixed time step of 0.005 ms (71). Initial conditions used for cells from different regions are provided in Supplemental Tables 5 and 6. Eight seconds of spontaneous activity were simulated, and action potentials from different SAN regions were analyzed for activation pattern and rate. Computer code was written in C++, compiled using Intel Composer XE 2011 for Linux, and executed on a Dell PowerEdge R515 server (Dual 6 core, 32 GB RAM running CentOS-6.2). Data from simulation of activation were visualized in MATLAB (R2012a).

Statistics. The survival analysis was performed using a log-rank test with Dunnett’s test as a post-hoc study for multiple comparisons. All other statistical analyses were performed using an unpaired Student’s t test (2-tailed) or 1-way ANOVA with Dunnett’s test (or Neuman-Keuls test as specified) for post-hoc study for multiple comparisons. P < 0.05 was considered statistically significant. All values are expressed as mean ± SEM.

Study approval. All animal procedures were approved by the Institutional Animal Care and Use Committee at the University of Iowa. For human samples, the study was approved by the local ethics committee of Goettingen University, and each patient gave written informed consent.

Supplemental data

View Supplemental data

View Supplemental video 1

View Supplemental video 2

Acknowledgments

We are grateful for discussions with K. Lamping, C. Benson, R. Felder, and F. Abboud (University of Iowa). We acknowledge the technical contributions of Chantal Allamargot at the Microscopy Core Facility (University of Iowa). We acknowledge the assistance of the University of Iowa Gene Transfer Vector Core for generating the CaMKIIN and EGFP virus. We thank Renee Goodfellow at the Gene Targeting Core Facility (University of Iowa) for her technical expertise in generating knockin mice. We thank R.E. Accaoui, D. Kraft, and K. Zimmerman for their technical contributions to the mouse echocardiography. We thank M. Zimmerman for assistance with the statistical analysis. We acknowledge support by University of Iowa Cardiovascular Center Interdisciplinary Research Fellowship Training Grant from the NIH (to M. Luo) and the NIH (R01HL70250, R01HL079031, R01HL113001 and R01HL096652 to M.E. Anderson) as well as a grant (08CVD01) from the Fondation Leducq as part of the “Alliance for CaMKII Signaling in Heart.” L.S. Maier is funded by the Deutsche Forschungsgemeinschaft (DFG) grant, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), and the Fondation Leducq.

Footnotes

Conflict of interest: Mark E. Anderson is a named inventor on intellectual property claiming to treat myocardial infarction by CaMKII inhibition and is a cofounder of Allosteros Therapeutics, a biotech company aiming to develop enzyme-based therapies.

Citation for this article:J Clin Invest. 2013;123(3):1262–1274. doi:10.1172/JCI65268.

References

  1. Knowler WC, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403.
    View this article via: PubMed CrossRef
  2. Donahoe SM, et al. Diabetes and mortality following acute coronary syndromes. JAMA. 2007;298(7):765–775.
    View this article via: PubMed CrossRef
  3. Barrett-Connor E, Orchard TJ. Insulin-dependent diabetes mellitus and ischemic heart disease. Diabetes Care. 1985;1:65–70.
  4. Jacoby RM, Nesto RW. Acute myocardial infarction in the diabetic patient: pathophysiology, clinical course and prognosis. J Am Coll Cardiol. 1992;20(3):736–744.
    View this article via: PubMed CrossRef
  5. Woodfield SL, et al. Angiographic findings and outcome in diabetic patients treated with thrombolytic therapy for acute myocardial infarction: the GUSTO-I experience. J Am Coll Cardiol. 1996;28(7):1661–1669.
    View this article via: PubMed CrossRef
  6. Mak KH, et al. Influence of diabetes mellitus on clinical outcome in the thrombolytic era of acute myocardial infarction. GUSTO-I Investigators. Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries. J Am Coll Cardiol. 1997;30(1):171–179.
    View this article via: PubMed CrossRef
  7. Nesto RW, Zarich S. Acute myocardial infarction in diabetes mellitus: lessons learned from ACE inhibition. Circulation. 1998;97(1):12–15.
    View this article via: PubMed CrossRef
  8. Zuanetti G, Latini R, Maggioni AP, Santoro L, Franzosi MG. Influence of diabetes on mortality in acute myocardial infarction: data from the GISSI-2 study. J Am Coll Cardiol. 1993;22(7):1788–1794.
    View this article via: PubMed CrossRef
  9. Hill MF, Singal PK. Right and left myocardial antioxidant responses during heart failure subsequent to myocardial infarction. Circulation. 1997;96(7):2414–2420.
    View this article via: PubMed CrossRef
  10. Palace VP, Hill MF, Farahmand F, Singal PK. Mobilization of antioxidant vitamin pools and hemodynamic function after myocardial infarction. Circulation. 1999;99(1):121–126.
    View this article via: PubMed CrossRef
  11. Giacco F, Brownlee M. Oxidative stress and diabetic complications. Circ Res. 2010;107(9):1058–1070.
    View this article via: PubMed CrossRef
  12. Di Filippo C, Cuzzocrea S, Rossi F, Marfella R, D’Amico M. Oxidative stress as the leading cause of acute myocardial infarction in diabetics. Cardiovasc Drug Rev. 2006;24(2):77–87.
    View this article via: PubMed CrossRef
  13. Yusuf S, Dagenais G, Pogue J, Bosch J, Sleight P. Vitamin E supplementation and cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. N Engl J Med. 2000;342:154–160.
    View this article via: PubMed CrossRef
  14. Erickson JR, He BJ, Grumbach IM, Anderson ME. CaMKII in the cardiovascular system: sensing redox states. Physiol Rev. 2011;91(3):889–915.
    View this article via: PubMed CrossRef
  15. Erickson JR, et al. A dynamic pathway for calcium-independent activation of CaMKII by methionine oxidation. Cell. 2008;133(3):462–474.
    View this article via: PubMed CrossRef
  16. He BJ, et al. Oxidation of CaMKII determines the cardiotoxic effects of aldosterone. Nat Med. 2011;17(12):1610–1618.
    View this article via: PubMed CrossRef
  17. Swaminathan PD, et al. Oxidized CaMKII causes cardiac sinus node dysfunction in mice. J Clin Invest. 2011;121(8):3277–3288.
    View this article via: JCI.org PubMed CrossRef
  18. Rossini AA, Like AA, Chick WL, Appel MC, Cahill GF. Studies of streptozotocin-induced insulitis and diabetes. Proc Natl Acad Sci U S A. 1977;74(6):2485–2489.
    View this article via: PubMed CrossRef
  19. Ling H, et al. Requirement for Ca2+/calmodulin-dependent kinase II in the transition from pressure overload-induced cardiac hypertrophy to heart failure in mice. J Clin Invest. 2009;119(5):1230–1240.
    View this article via: JCI.org PubMed CrossRef
  20. Backs J, et al. The delta isoform of CaM kinase II is required for pathological cardiac hypertrophy and remodeling after pressure overload. Proc Natl Acad Sci U S A. 2009;106(7):2342–2347.
    View this article via: PubMed CrossRef
  21. Zhang R, et al. Calmodulin kinase II inhibition protects against structural heart disease. Nat Med. 2005;11(4):409–417.
    View this article via: PubMed
  22. Abenavoli T, Rubler S, Fisher VJ, Axelrod HI, Zuckerman KP. Exercise testing with myocardial scintigraphy in asymptomatic diabetic males. Circulation. 1981;63(1):54–64.
    View this article via: PubMed CrossRef
  23. Izawa K, et al. Impaired chronotropic response to exercise in acute myocardial infarction patients with type 2 diabetes mellitus. Jpn Heart J. 2003;44(2):187–199.
    View this article via: PubMed CrossRef
  24. Hasslacher C, Wahl P. Diabetes prevalence in patients with bradycardiac arrhythmias.. Acta Diabetol Lat. 1977;14 (5-6): :229–234.234
    View this article via: PubMed CrossRef
  25. La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) Investigators. Lancet. 1998;351(9101):478–484.
    View this article via: PubMed CrossRef
  26. Solomon SD, et al. Sudden death in patients with myocardial infarction and left ventricular dysfunction, heart failure, or both. N Engl J Med. 2005;352(25):2581–2588.
    View this article via: PubMed CrossRef
  27. Jordaens L, Tavernier R. Determinants of sudden death after discharge from hospital for myocardial infarction in the thrombolytic era. Eur Heart J. 2001;22(14):1214–1225.
    View this article via: PubMed CrossRef
  28. Oliva PB, Hammill SC, Edwards WD. Cardiac rupture, a clinically predictable complication of acute myocardial infarction: report of 70 cases with clinicopathologic correlations. J Am Coll Cardiol. 1993;22(3):720–726.
    View this article via: PubMed CrossRef
  29. Curb JD, Rodriguez BL, Burchfiel CM, Abbott RD, Chiu D, Yano K. Sudden death, impaired glucose tolerance, and diabetes in Japanese American men. Circulation. 1995;91(10):2591–2595.
    View this article via: PubMed CrossRef
  30. Aronson D, Rayfield EJ, Chesebro JH. Mechanisms determining course and outcome of diabetic patients who have had acute myocardial infarction. Ann Intern Med. 1997;126(4):296–306.
    View this article via: PubMed
  31. Malpas SC, Maling TJ. Heart-rate variability and cardiac autonomic function in diabetes. Diabetes. 1990;39(10):1177–1181.
    View this article via: PubMed CrossRef
  32. Ferrer MI. The etiology and natural history of sinus node disorders. Arch Intern Med. 1982;142(2):371–372.
    View this article via: PubMed
  33. Gomes JA, Hariman RI, Chowdry IA. New application of direct sinus node recordings in man: assessment of sinus node recovery time. Circulation. 1984;70(4):663–671.
    View this article via: PubMed CrossRef
  34. Wu Y, et al. Calmodulin kinase II is required for fight or flight sinoatrial node physiology. Proc Natl Acad Sci U S A. 2009;106(14):5972–5977.
    View this article via: PubMed CrossRef
  35. Chang BH, Mukherji S, Soderling TR. Characterization of a calmodulin kinase II inhibitor protein in brain. Proc Natl Acad Sci U S A. 1998;95(18):10890–10895.
    View this article via: PubMed CrossRef
  36. Frustaci A, et al. Myocardial cell death in human diabetes. Circ Res. 2000;87(12):1123–1132.
    View this article via: PubMed CrossRef
  37. Cai L, Li W, Wang G, Guo L, Jiang Y, Kang YJ. Hyperglycemia-induced apoptosis in mouse myocardium: mitochondrial cytochrome C-mediated caspase-3 activation pathway. Diabetes. 2002;51(6):1938–1948.
    View this article via: PubMed CrossRef
  38. Tomaselli GF, Barth AS. Sudden cardio arrest: oxidative stress irritates the heart. Nat Med. 2010;16(6):648–649.
    View this article via: PubMed CrossRef
  39. Dikalova AE, et al. Therapeutic targeting of mitochondrial superoxide in hypertension. Circ Res. 2010;107(1):106–116.
    View this article via: PubMed CrossRef
  40. Wilcox CS. Effects of tempol and redox-cycling nitroxides in models of oxidative stress. Pharmacol Ther. 2010;126(2):119–145.
    View this article via: PubMed CrossRef
  41. Brownlee M. The pathobiology of diabetic complications: a unifying mechanism. Diabetes. 2005;54(6):1615–1625.
    View this article via: PubMed CrossRef
  42. Ozcan L, et al. Calcium signaling through CaMKII regulates hepatic glucose production in fasting and obesity. Cell Metab. 2012;15(5):739–751.
    View this article via: PubMed CrossRef
  43. Fava S, Azzopardi J, Muscat HA, Fenech FF. Factors that influence outcome in diabetic subjects with myocardial infarction. Diabetes Care. 1993;16(12):1615–1618.
    View this article via: PubMed CrossRef
  44. Howarth FC, Qureshi MA. Effects of carbenoxolone on heart rhythm, contractility and intracellular calcium in streptozotocin-induced diabetic rat. Mol Cell Biochem. 2006;289(1–2):21–29.
    View this article via: PubMed CrossRef
  45. Kofo-Abayomi A, Lucas PD. A comparison between atria from control and streptozotocin-diabetic rats: the effects of dietary myoinositol. Br J Pharmacol. 1988;93(1):3–8.
    View this article via: PubMed CrossRef
  46. Senges J, Brachmann J, Pelzer D, Hasslacher C, Weihe E, Kubler W. Altered cardiac automaticity and conduction in experimental diabetes mellitus. J Mol Cell Cardiol. 1980;12(12):1341–1351.
    View this article via: PubMed CrossRef
  47. Boudina S, Abel ED. Diabetic cardiomyopathy revisited. Circulation. 2007;115(25):3213–3223.
    View this article via: PubMed CrossRef
  48. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998;352(9131):854–865.
    View this article via: PubMed CrossRef
  49. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998;352:837–853.
    View this article via: PubMed CrossRef
  50. Gerstein HC, et al. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. 2008;358(24):2545–2559.
    View this article via: PubMed CrossRef
  51. Ray KK, et al. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials. Lancet. 2009;373(9677):1765–1772.
    View this article via: PubMed CrossRef
  52. Kosiborod M, et al. Glucometrics in patients hospitalized with acute myocardial infarction: defining the optimal outcomes-based measure of risk. Circulation. 2008;117(8):1018–1027.
    View this article via: PubMed CrossRef
  53. Khattab M, Khader YS, Al-Khawaldeh A, Ajlouni K. Factors associated with poor glycemic control among patients with type 2 diabetes. J Diabetes Complications. 2010;24(2):84–89.
    View this article via: PubMed CrossRef
  54. Ross SA, Tildesley HD, Ashkenas J. Barriers to effective insulin treatment: the persistence of poor glycemic control in type 2 diabetes. Curr Med Res Opin. 2011;3:13–20.
    View this article via: PubMed
  55. Capes SE, Hunt D, Malmberg K, Gerstein HC. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. 2000;355(9206):773–778.
    View this article via: PubMed CrossRef
  56. Kosiborod M, et al. Admission glucose and mortality in elderly patients hospitalized with acute myocardial infarction: implications for patients with and without recognized diabetes. Circulation. 2005;111(23):3078–3086.
    View this article via: PubMed CrossRef
  57. Goyal A, et al. Prognostic significance of the change in glucose level in the first 24 h after acute myocardial infarction: results from the CARDINAL study. Eur Heart J. 2006;27(11):1289–1297.
    View this article via: PubMed CrossRef
  58. Yu T, Robotham JL, Yoon Y. Increased production of reactive oxygen species in hyperglycemic conditions requires dynamic change of mitochondrial morphology. Proc Natl Acad Sci U S A. 2006;103(8):2653–2658.
    View this article via: PubMed CrossRef
  59. Nishikawa T, et al. Normalizing mitochondrial superoxide production blocks three pathways of hyperglycaemic damage. Nature. 2000;404(6779):787–790.
    View this article via: PubMed CrossRef
  60. Timmins JM, et al. Calcium/calmodulin-dependent protein kinase II links ER stress with Fas and mitochondrial apoptosis pathways. J Clin Invest. 2009;119(10):2925–2941.
    View this article via: JCI.org PubMed CrossRef
  61. Joiner ML, et al. CaMKII determines mitochondrial stress responses in heart. Nature. 2012;491(7423):269–73.
    View this article via: PubMed CrossRef
  62. Zuanetti G, Latini R, Maggioni AP, Franzosi M, Santoro L, Tognoni G. Effect of the ACE inhibitor lisinopril on mortality in diabetic patients with acute myocardial infarction: data from the GISSI-3 study. Circulation. 1997;96(12):4239–4245.
    View this article via: PubMed CrossRef
  63. Moyé LA, et al. Uniformity of captopril benefit in the SAVE Study: subgroup analysis. Survival and Ventricular Enlargement Study. Eur Heart J. 1994;15(suppl B):2–8.
    View this article via: PubMed
  64. Thompson MR, Chourey K, Froelich JM, Erickson BK, VerBerkmoes NC, Hettich RL. Experimental approach for deep proteome measurements from small-scale microbial biomass samples. Anal Chem. 2008;80(24):9517–9525.
    View this article via: PubMed CrossRef
  65. Weiss RM, Ohashi M, Miller JD, Young SG, Heistad DD. Calcific aortic valve stenosis in old hypercholesterolemic mice. Circulation. 2006;114(19):2065–2069.
    View this article via: PubMed CrossRef
  66. Sossalla S, et al. Altered Na(+) currents in atrial fibrillation effects of ranolazine on arrhythmias and contractility in human atrial myocardium. J Am Coll Cardiol. 2010;55(21):2330–2342.
    View this article via: PubMed CrossRef
  67. Dobrzynski H, et al. Computer three-dimensional reconstruction of the sinoatrial node. Circulation. 2005;111(7):846–854.
    View this article via: PubMed CrossRef
  68. Butters TD, et al. Mechanistic links between Na+ channel (SCN5A) mutations and impaired cardiac pacemaking in sick sinus syndrome. Circ Res. 2010;107(1):126–137.
    View this article via: PubMed CrossRef
  69. Kurata Y, Matsuda H, Hisatome I, Shibamoto T. Regional difference in dynamical property of sinoatrial node pacemaking: role of na+ channel current. Biophys J. 2008;95(2):951–977.
    View this article via: PubMed CrossRef
  70. Courtemanche M, Ramirez RJ, Nattel S. Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. Am J Physiol. 1998;275(1 pt 2):H301–H321.
    View this article via: PubMed
  71. Joyner RW, Ramon F, Morre JW. Simulation of action potential propagation in an inhomogeneous sheet of coupled excitable cells. Circ Res. 1975;36(5):654–661.
    View this article via: PubMed CrossRef
  72. Lin YC, Redmond L. Neuronal CaMKII acts as a structural kinase. Commun Integr Biol. 2009;2(1):40–41.
    View this article via: PubMed CrossRef
Advertisement
Advertisement