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Cardiovascular Diabetology logoLink to Cardiovascular Diabetology
. 2014 Aug 12;13:122. doi: 10.1186/s12933-014-0122-y

Sinoatrial node dysfunction induces cardiac arrhythmias in diabetic mice

Ewa Soltysinska 1, Tobias Speerschneider 1, Sine V Winther 1, Morten B Thomsen 1,
PMCID: PMC4149194  PMID: 25113792

Abstract

Background

The aim of this study was to probe cardiac complications, including heart-rate control, in a mouse model of type-2 diabetes. Heart-rate development in diabetic patients is not straight forward: In general, patients with diabetes have faster heart rates compared to non-diabetic individuals, yet diabetic patients are frequently found among patients treated for slow heart rates. Hence, we hypothesized that sinoatrial node (SAN) dysfunction could contribute to our understanding of the mechanism behind this conundrum and the consequences thereof.

Methods

Cardiac hemodynamic and electrophysiological characteristics were investigated in diabetic db/db and control db/+ mice.

Results

We found improved contractile function and impaired filling dynamics of the heart in db/db mice, relative to db/+ controls. Electrophysiologically, we observed comparable heart rates in the two mouse groups, but SAN recovery time was prolonged in diabetic mice. Adrenoreceptor stimulation increased heart rate in all mice and elicited cardiac arrhythmias in db/db mice only. The arrhythmias emanated from the SAN and were characterized by large RR fluctuations. Moreover, nerve density was reduced in the SAN region.

Conclusions

Enhanced systolic function and reduced diastolic function indicates early ventricular remodeling in obese and diabetic mice. They have SAN dysfunction, and adrenoreceptor stimulation triggers cardiac arrhythmia originating in the SAN. Thus, dysfunction of the intrinsic cardiac pacemaker and remodeling of the autonomic nervous system may conspire to increase cardiac mortality in diabetic patients.

Keywords: Sinus node, Heart rate variability, ECG, Sympathetic nervous system

Background

Diabetes mellitus is a serious public health concern and the global prevalence was estimated to be 2.8% in 2000 rising to 4.4% in 2030 [1]. The incidence of cardiovascular disease is higher among diabetic patients [2], and they often die from cardiovascular complications [3]. Coronary artery disease secondary to atherosclerosis account for a large fraction of the comorbidity, likely underlying the reports of myocardial infarction as the main cause of mortality in diabetic patients [3]. The vast majority of diabetic patients have type-2 diabetes mellitus (T2DM), characterized by obesity, insulin resistance and very high blood glucose levels.

Elevated resting heart rate is associated with an increased risk of cardiovascular complications and sudden cardiac death in the general population and in T2DM patients [46]. Conversely, in patient groups with electronic cardiac pacemakers due to slow heart rates, there is a statistically significant overrepresentation of diabetic patients, suggesting diabetes-induced impairment of the endogenous, natural pacemaker of the heart [79]. Sick sinus node syndrome is associated with T2DM in case reports only [10]. Reports of impaired atrio-ventricular node in diabetic patients [11,12] supports the clinical observation that the cardiac conduction system, especially the function of the nodes, are compromised in T2DM. Hence, there are strong clinical indications of altered sino-atrial node (SAN) function in T2DM and that this could contribute to the increased cardiovascular mortality in this large patient population.

Leptin-receptor deficient homozygous db/db mouse lacks the hypothalamic leptin regulation resulting in development of obesity and severe T2DM [13]. The model shows age-dependent progression of metabolic abnormalities that mimics the pathogenesis of T2DM in humans, including early insulin resistance and hyperinsulinemia at mouse age 6–12 weeks, followed by an insulin-secretory defect and hypoinsulinemia after 12 weeks [14]. Previous experimental studies related to effects of diabetes on SAN function have been conducted primarily in T1DM animal models [1517], which lack the metabolic complexity of T2DM. Reports from heart rate recordings in conscious or anesthetized db/db mice with T2DM have revealed profound inconsistencies in results with examples of faster [18], slower [19,20] and comparable [2123] resting heart rates. The clinical finding of SAN dysfunction in a small subset of diabetic patients and the discrepancies in the experimental findings of heart rate in db/db mice imply that this mouse model may constitute a unique tool for studying the effects of diabetes on SAN function.

In the present study, we hypothesized that db/db mice have a concealed SAN dysfunction in vivo that can be unmasked by the appropriate stress. We probed and challenged SAN function to elicit changes in heart rate and heart rate instability compatible with the clinical observations of augmented cardiovascular death. At basal conditions, heart rate is not different in anesthetized db/db mice; however, upon a challenge with β-adrenoreceptor stimulation we exposed pronounced SAN dysfunction inducing prominent heart-rate fluctuations. Invasive electrophysiological studies showed a prolonged sinus node recovery time and immunoblots of SAN tissue identified reduced density of autonomic nerve endings.

Methods

Animals

Experiments were performed using male leptin-receptor deficient db/db mice (C57BL/KS-leprdb/leprdb) and lean control heterozygote db/+ mice (C57BL/KS-leprdb/lepr+), aged 14–16 weeks. Animals were purchased from Taconic (Denmark) and housed in a specific pathogen free facility with ad libitum access to water and standard chow food in a room with a 12-h light/dark schedule and an ambient temperature of 22°C. Mice were anesthetized in 1.5-2% isoflurane in 100% O2. Body temperature was constantly monitored and kept at 37 ± 0.5°C. Blood glucose levels were determined from the tail vein as the mean of 2 consecutive measurements by a Microdot glucometer (Kacey Diagnostics, USA). Body weight was determined prior to each investigation. At the end of experiments, euthanasia was achieved by cervical dislocation. A total of 12 db/db mice and 12 db/+ mice were used for this study. The study conformed to the Principles of laboratory animal care (National Institutes of Health, revised 1996) and was approved by the national ethics committee.

Echocardiography

Transthoracic echocardiography was performed with a linear 15–45 MHz transducer (Vevo 770, VisualSonics, Canada), as previously described [24]. Inner diameter of the left ventricle (LVID) and LV wall thicknesses (LVWT) in diastole and systole were measured in M mode at the maximal and minimal cross sectional diameter in a heart cycle, respectively, at the level of the Papillary muscles and averaged from parasternal long axis and short axis view. Left ventricular length from aortic valve to LV endocardial apex was measured in the parasternal long axis view. Left ventricular end-diastolic volume (LVEDV) and end-systolic volume (LVESV) were calculated as LVID3*{7/(2.4 + LVID)} in diastole and systole, respectively. Stroke volume (SV = LVEDV-LVESV) and ejection fraction (EF = SV/LVEDV) were calculated. Subsequently, LV filling properties were evaluated by pulsed wave Doppler imaging. Recordings were made at the tips of the mitral-valve leaflets in the apical four-chamber view. Peak early (E) and late (A) mitral inflow velocities, deceleration time (DT) of early filling and isovolumetric relaxation time (IVRT) and contraction time (IVCT) were measured as described previously [25]. Three measurements from consecutive heart cycles were obtained and averaged in each mouse. Six mice of each genotype were used in the echocardiographic study.

Electrocardiography

A 6-lead surface electrocardiogram (ECG) was recorded (LabChart 8, ADInstruments, Australia) using subcutaneous needle electrodes. Signals were recorded at 4 kHz and filtered using a low-pass setting of 1 kHz and a high-pass setting of 0.3 Hz. After 10 min baseline, isoprenaline (2 μg/g) was injected intraperitoneally. Averaged signal ECGs were generated by aligning R waves of >200 complexes from lead I and analyzed manually as previously described in detail [26]. The dominant cardiac depolarization axis was determined from vectorcardiography from the frontal plane as the angle between lead I and the largest amplitude vector during the QRS complex. Mice were challenged with a β-adrenoreceptor agonist, isoprenaline, administered intraperitoneally at a dose of 2 μg/g body weight as previously described [24]. Isoprenaline (Sigma-Aldrich, St. Louis, MO) was dissolved and diluted in saline on the day of experiment.

In order to quantify fluctuation in RR intervals and SAN arrhythmias, we used the algorithms of heart-rate variability (HRV). Consecutive RR intervals were determined in comparable time epochs of 10 minutes at baseline and at 5–10 minutes after β-adrenoreceptor stimulation, and the following parameters were calculated [27]: standard deviation of RR intervals (SDRR), standard deviation of the difference between successive RR intervals (SD∆RR), percentage of normal consecutive RR intervals differing by >6 ms (pRR6, see reference [27]), normalized power contained within the low frequency range (0.15-1.5 Hz, LF power), and normalized power contained within the high frequency range (1.5-5.0 Hz, HF power). The presence of induced SAN arrhythmia in a mouse was acknowledged if SDRR, SD∆RR or pRR6 increased by >100% following β-adrenoreceptor stimulation.

Twelve mice of each genotype were used in the electrocardiographic study, half of which had been used prior in the echocardiographic study. Three db/db mice and one db/+ mouse died within a 12-hour period after recovery from the electrocardiographic study; the remaining 9 db/db and 11 db/+ mice were used subsequently for an invasive electrophysiological study.

Intracardiac pacing

Mice were fasted for 16 hours prior to intracardiac pacing to challenge the mice with hypoglycemia. During anesthesia, a 1.1 F pacing catheter (EPR-800, ADInstruments) was advanced into the LV through a small incision in the right common carotid artery. Atria and ventricles were paced at 1.5 and 2 times capture threshold amplitudes, respectively. Sinus node recovery time (SNRT) was measured twice after delivering an atrial pacing train with a cycle length of 100 ms (600 beats per minute) for 15 seconds, and defined as the duration between the last pacing stimuli and the onset of the first spontaneous P wave. Rate-corrected SNRT (CSNRT) was calculated by subtracting the baseline, sinus-node controlled PP interval length from the SNRT. Wenckebach periodicity was determined by progressively shortening the paced cycle length and defined as the shortest cycle length maintaining a 1:1 conduction between the atrium and ventricles. Ventricular effective refractory period (VERP) was determined by applying 9 paced ventricular beats (9xS1) at a cycle length of 100 ms followed by a single extra-stimulus (S2) that was sequentially increased in 1 ms steps until capture. VERP was defined as the longest S1-S2 interval that did not result in ventricular capture. Inducibility of arrhythmia was tested by a pacing protocol consisting of 9xS1 at the cycle length of 100 ms followed by 6xS2 [24]. Ventricular tachycardia (VT) was defined as ≥4 spontaneous consecutive beats following the last captured S2. If VT was induced, the stimulation protocol was repeated twice to ascertain reproducibility [24].

Immunoblotting

The right atria were homogenized in ice-cold RIPA buffer supplemented with protease inhibitors (AEBSF, 2 mM; aprotinin, 0.3 μM; bestatin, 130 μM; E-64, 14 μM; leupeptin, 1 μM) using the Precellys system (Bertin Technologies, France). Proteins (10 μg) were separated on a 4-15% SDS-PAGE (Biorad, Denmark) and blotted onto hybond-P polyvinylidene fluoride transfer membranes (Amersham Biosciences, Denmark). Membranes were incubated with anti-synaptophysin antibody (0.2 μg/ml, Santa Cruz Biotechnology, USA). Synaptophysin is essential for synaptic vesicle regulation neurons and is a marker of nerve synapses. Immunoreactive proteins were detected by HRP-linked donkey anti-rabbit antibody (8 ng/ml, Jackson Immunosearch Laboratories, UK). Membranes were stripped and re-probed with anti-actin antibody (MAB1501, Millipore, Denmark). Protein band density was quantified as a Gaussian densiometric trace on the exposed films and processed equally. Immunoblotting was repeated three times and the average ratio of Synaptophysin/Actin bands density was calculated for each sample and used for the comparison between groups.

Statistical analysis

Data is represented as mean ± SEM and the number of observations (n) is indicated on each figure. Two-tailed Student’s t-test and two-way ANOVA followed by post-hoc Bonferroni t-test were used for comparison of 2 or more groups, respectively. Fisher’s exact test was employed to compare the occurrence of arrhythmias. P-values <0.05 were considered statistically significant.

Results

Improved systolic function and reduced diastolic function in diabetic mice

At the age of 14–16 weeks, db/db mice exhibited pronounced hyperglycemia and larger body weights (Table 1). Wet cardiac weights were lower in db/db mice (Table 1). To evaluate LV structure and mechanical function cardiac imaging was performed in the intact animal (Figure 1A). We noted no difference in the LV wall thickness (db/+: 0.92 ± 0.06 versus db/db: 0.86 ± 0.03 mm in diastole; n = 6, P > 0.05); however, db/db mice have significantly shorter LV length than db/+ mice (db/+: 7.3 ± 0.1 versus db/db: 6.8 ± 0.2 mm in diastole; n = 6, P < 0.05).

Table 1.

Characteristics of the control (db/+) and diabetic (db/db) mice

db/+ (n = 11) db/db (n = 9)
Body weight, g 26 ± 0.5 39 ± 1.5*
Heart weight, mg 171 ± 5.5 145 ± 4.5*
Tibia length, mm 21 ± 0.3 20 ± 0.4
Non-fasting blood glucose, mg/dL 190 ± 13 526 ± 26*
Fasting blood glucose, mg/dL 76 ± 98 474 ± 42*

*, P < 0.05, Student’s t-test.

Figure 1.

Figure 1

Echocardiographic assessment of left ventricular structure and mechanical function. A, Representative M-mode echocardiographic images of the left ventricle (LV) from anesthetized mice. LV cav: cavity; LVAW: anterior wall; LVPW: posterior wall. B, Fractional shortening of the LV. C, Left panel: Exemplary transmitral velocity-time curves with positive peaks representing flow velocities during passive early filling (E) and atrial contraction (A). Vertical lines indicate the demarcation of ejection time (ET), deceleration time (DT), isovolumetric relaxation time (IVRT) and isovolumetric contraction time (IVCT). Right panel: Deceleration phase of the E peak. *, P < 0.05, Student’s t-test.

A hypercontractile systolic function in db/db mice was indicated by a greater fractional shortening (Figure 1B) and larger ejection fraction (db/+: 67 ± 2 versus db/db: 75 ± 1%; n = 6, P < 0.05). This is further supported by Doppler analysis of mitral inflow, where isovolumetric contraction time (IVCT) tended to be shorter in db/db mice (db/+: 11.4 ± 0.3 versus db/db: 10.7 ± 0.2 ms; n = 6, P = 0.07), suggesting improved systolic function in db/db mice. In contrast, isovolumetric relaxation time (IVRT) was indistinguishable (db/+: 22.2 ± 3.5 versus db/db: 20.8 ± 2.7 ms; n = 6, P > 0.05). Similarly, analysis of Doppler-derived peak velocities during early (E) ventricular filling and atrial (A) contraction (Figure 1C, left panel) showed no difference between genotypes (E/A ratio in db/+: 1.59 ± 0.04 versus db/db 1.88 ± 0.02; n = 6, P > 0.05); however, deceleration time of early peak flow (DT) was prolonged by 55% in db/db mice suggesting a diastolic insufficiency in these mice (Figure 1C). Taken together, a shorter heart, improved systolic function and reduced diastolic function indicate early ventricular remodeling in db/db mice.

Unexpected electrophysiological phenotype in db/+ mice

Next, we evaluated electrophysiological function by analyzing surface ECG in anesthetized animals (Figure 2). The cardiac QRS axis was normal and uniform in most db/db mice (75 ± 8°; n = 12); however in db/+ mice we observed dominant axes in all 4 quadrants of the vectorcardiogram (Figure 2A). On average, the cardiac axis in db/+ mice was 3 ± 23° (n = 12; P < 0.05 versus db/db), where the large standard error reflects the very heterogeneous group of mice. Indeed, we excluded 3 db/+ mice from further electrocardiographic comparison due to incomparable ECGs (cardiac axes in these mice were −154°, −28° and +125°, respectively). A representative raw ECG trace in a db/db mouse and an example with comparable ECG morphology from a db/+ mouse, are depicted on Figure 2B.

Figure 2.

Figure 2

Electrophysiological function. A, Cardiac axis in individual mice. B, Raw ECG traces from lead I in db/+ and db/db mice. C, Exemplary averaged ECG complex in a db/db mouse shown on the enlarged scale. D, No statistical difference of averaged ECG intervals was found between db/+ and db/db mice.

Analysis of averaged ECG signals (Figure 2C), showed no difference in the duration of RR, PQ, QRS and QT intervals (Figure 2D). Heart rates were 485 ± 20 and 465 ± 13 beats per minute in db/+ and db/db mice, respectively (P > 0.05). The amplitude of the J wave was comparable in two groups of mice (db/+: −51 ± 8 versus db/db: −47 ± 9 μV; P > 0.05). The amplitude of T wave could be reliably measured in 11/12 db/db mice but only in 4/9 control mice due to highly variable cardiac axes and consequently heterogeneous ECG morphologies. Based on this limited number of observations, the peak of T wave was more negative in the db/db versus db/+ mice (db/+: −30 ± 3 versus db/db: −55 ± 6 μV; P < 0.05).

Compromised sinoatrial function in diabetic mice

Within the individual mouse, the ECG complexes were comparable and very regular at baseline in both groups of mice (Figure 2B), revealing no indications of SAN dysfunction. β-Adrenoreceptor stimulation significantly increased heart rate in both db/+ and db/db mice in a comparable manner (Figure 3A and B; mean heart rate increase were db/+: 28 ± 5 versus db/db: 32 ± 4% increase; P > 0.05). The inter-beat intervals remained relatively constant after isoprenaline administration in the control mouse (Figure 3A and C); however, the RR tachogram in the db/db mouse (Figure 3B and D) showed a large scatter of inter-beat intervals 5–10 minutes after β-adrenoreceptor challenge. The ECG in the Figure 3F clearly shows that the arrhythmia originated from the SAN as the observed RR fluctuations were accompanied by preserved P waves and PQ intervals. The histograms shown in Figure 3G and H show that the distributions of inter-beat intervals were comparable in two representative mice at baseline. After challenge with isoprenaline, the range of RR intervals in the control mouse remained narrow (range: 105–113 ms); however, in contrast, db/db mice show a wide spread of RR intervals (range: 85 to 216 ms). In particular, we recorded multiple late beats, in the range of 120–220 ms, (inset on the Figure 3H) which were never seen in any control mice.

Figure 3.

Figure 3

Dynamics of RR interval upon β-adreneroceptor stimulation. A, B Exemplary tachograms of RR intervals at baseline and during isoprenaline challenge (arrows indicate IP administration of isoprenaline). C, D The same two tachograms at enlarged scales, showing RR intervals during 1 minute (8 to 9 minutes after administration of isoprenaline). E, F Two-second ECG traces from the same mice, around time point 8:40 after administration of isoprenaline. G, H Histograms of RR intervals constructed by analysis of 3 minutes ECG recordings before and after isoprenaline administration.

To quantify these SAN arrhythmias, we took advantage of standard HRV algorithms. Before β-adrenoreceptor stimulation, RR, SDRR and SDΔRR were indistinguishable in db/+ and db/db mice (Figure 4, Table 2). After β-adrenoreceptor stimulation, these HRV parameters remained unchanged in control mice, but increased dramatically in db/db mice (Figure 4B and C). Altogether, episodes of SAN arrhythmia were observed in 7/12 db/db mice but in none of the control animals (P < 0.05). During recovery from the electrophysiological study, 3 db/db mice and 1 db/+ mouse died. We have no ECG record of the events.

Figure 4.

Figure 4

Quantification of RR fluctuations. A Mean RR interval during 3-min periods before and after isoprenaline injection. B Standard deviation of the same RR intervals. C Standard deviation of the differences between consecutive RR intervals. *, P < 0.05, Repeated-measures two-way ANOVA followed by post-hoc Bonferroni test.

Table 2.

Heart-rate variability parameters obtained in anesthetized control (db/+) and diabetic (db/db) mice before and after 16 hours fasting

Db/+, fed Db/db, fed Db/+, fasted Db/db, fasted
RR, ms 124 ± 4 131 ± 3 137 ± 4 † 154 ± 4*†
HR, bpm 483 ± 17 458 ± 12 438 ± 11 † 390 ± 10*†
SDRR, ms 4.4 ± 1.0 5.0 ± 0.9 5.3 ± 0.8 6.0 ± 1.6
SD∆RR, ms 2.1 ± 0.3 3.2 ± 0.6 2.8 ± 0.6 4.7 ± 0.7*
pRR6,% 3 ± 4 11 ± 5a 8 ± 3 22 ± 6*
LF Power, μs2 0.9 ± 0.2 0.9 ± 0.4 1.0 ± 0.4 2.5 ± 1.0
HF Power, μs2 2.4 ± 0.6 7.9 ± 3.8 6.1 ± 3.4 15.4 ± 4.3a
LF Power, % 32 ± 4 17 ± 4 17 ± 4 15 ± 5
HF Power, % 67 ± 4 84 ± 4 84 ± 4 86 ± 5
LF/HF 55 ± 11 25 ± 10 24 ± 9 19 ± 4
n 12 12 10 9

Abbreviations: HR (bpm) heart rate in beats per minute, SDRR standard deviation of RR intervals, SD∆RR standard deviation of the difference between successive RR intervals, pRR6 percentage of normal consecutive RR intervals differing by >6 ms, LF power absolute and normalized power contained within the low frequency range (0.15-1.5 Hz), HF power absolute and normalized power contained within the high frequency range (1.5-5.0 Hz). See reference [27]. Two-way ANOVA with a post hoc Bonferroni t test when appropriate. *, P < 0.05 versus db/+ mice; †, P < 0.05 versus fed mice of the same genotype; a, P = 0.063 versus db/+. One mouse was excluded from the db/+, fasted group due to technical difficulties with anesthesia.

In order to challenge the mice with relative hypoglycemia, we subjected the mice to 16-hours fasting which decreased blood glucose concentration in both db/+ and db/db (Table 1). Reduction of glucose concentration had no effect on ECG morphology, but we noted a modest but significant increase of RR intervals as a consequence of fasting (Table 2). Hypoglycemia resulted in dramatic increases of SDΔRR and pRR6 in db/db mice only (Table 2). Spectral analysis of HRV showed no difference in autonomic control of heart rate at baseline during anesthesia (Table 2).

To determine whether the origin of the cardiac arrhythmia was indeed the SAN, we evaluated the SAN directly in an invasive electrophysiological study. Sinus node recovery time was 139 ± 3.8 ms in db/+ mice, but delayed to 170 ± 13 ms in db/db mice (P < 0.05, Figure 5A). Sinus node recovery time corrected for baseline heart rate (CSNRT) also showed delayed recovery time in db/db mice (Figure 5B), indicating reduced SAN automaticity. Whereas db/db mice exhibited impaired SAN function, they show no change in AV Wenckebach periodicity (Figure 5C), a finding supported by preserved PQ intervals (Figure 2C), or VERP (Figure 5D). Susceptibility to pacing-induced ventricular arrhythmias were comparable in the two groups of mice (db/+: 3/11 versus db/db: 1/9 mice; P > 0.05).

Figure 5.

Figure 5

Invasive electrophysiological study. A, Measurements of sinus node recovery time (SNRT): exemplary ECG recordings obtained during atrial pacing at 100 ms paced cycle length and immediately upon termination of electrical stimulation. Triangles indicate stimulus artifact. Note delayed recovery of sinus rhythm in the db/db mouse. B, Corrected SNRT (CSNRT) was obtained by subtracting the sinus cycle length from the SNRT and was significantly prolonged in db/db mice. C, Atrioventricular (AV) Wenckebach periodicity, measured as the shortest paced cycle length allowing conduction of electrical impulse from atria to ventricles, remained unchanged in db/db mice. D, Ventricular effective refractory period (VERP), measured by extra-stimuli technique as the longest paced cycle length that did not elicit a propagating response, was indistinguishable in db/+ and db/db mice. *, P < 0.05, Student’s t-test. Number of animals is indicated in parentheses. The SNRT and AV Wenckebach period were not obtained in 1 db/+ and 1 db/db mouse, respectively, due to technical difficulties.

Reduced neuronal density in the sinoatrial node of db/db mice

In vivo, pacemaking activity of the SA node is constantly modulated by an input from autonomic nervous system. Prolonged CSNRT in db/db mice would suggest intrinsic nodal abnormalities, but we suspected that SA nodal dysfunction may be extrinsic as it is not evident at the baseline ECG but is unmasked by adrenergic stimulation. Impaired autonomic modulation may be attributed to nerve rarefaction so we harvested right atrial tissue including SAN to quantify expression of synaptophysin. Synaptophysin migrated as a single band, at the expected molecular weight of approximately 40 kDa (Figure 6A). On average, db/db mice showed a 29% lower synaptophysin/actin ratio, suggesting diminished autonomic nerve density as a potential modulator of the intrinsic SAN dysfunction.

Figure 6.

Figure 6

Synaptophysin expression in right atria tissue. A, Exemplary immunoblots. B, Averaged ratio of synaptophysin/actin band densities (5 hearts x 3 independent immunoblotting experiments). *, P < 0.05, Student’s t-test.

Discussion

Increased heart rate is the common finding in patients with T2DM; however, diabetes is also associated with increased susceptibility to slow heart rates [7,12] and with abnormal chronotropic responses to stress [28], suggesting defective pacemaking function in some of these patients. Altered heart rate may contribute to excess cardiovascular mortality in T2DM [4,5] and it is important to unravel how SAN dysfunction is triggered and to find ways to prevent or treat it. In addition, clinical risk stratification of patients using heart rate and HRV may be misinterpreted in settings of SAN dysfunction and potentially in T2DM. Our data provides experimental evidence that T2DM complicated by obesity, adversely affects SAN function. In vivo, electrophysiological testing in db/db mice revealed substantial prolongation of corrected SAN recovery time, indicating abnormal pacemaking function. The defect in the SAN becomes manifest during fasting and pathologic during stress test with isoprenaline, where db/db mice exhibited SAN arrhythmia resulting in a profound fluctuation of RR intervals.

Diabetic mice have SAN dysfunction

Luo and colleagues recently showed that mice with streptozotocin-induced T1DM also develop SAN dysfunction, which manifested as a reduced resting heart rate, prolonged CSNRT and an attenuated chronotropic response to isoprenaline in isolated, perfused hearts [15]. Rats with streptozotocin-induced T1DM also show signs of nodal abnormalities, such as bradycardia and prolongation of the SAN action potential [16,29,30]. In addition, an early experimental study of effects of diabetes on conduction system also demonstrated prolonged CSNRT in atrial preparations from alloxan-treated rabbits [17]. With the present study, we show that SAN dysfunction also is present in models of T2DM.

In the present study, the chronotropic response to isoprenaline was comparable in db/db and db/+ mice. Heart rate reached a maximal level 30–40 sec after the injection (Figure 3), but surprisingly, the arrhythmias in db/db mice were delayed till 5–10 minutes after adrenergic stimulation. Heart rate is determined by the intrinsic pacemaking activity of the SAN; however, it is modulated by external factors such as autonomic function, hemodynamic load and metabolic status [31,32]. The db/db mice show complex cardioregulatory autonomic dysfunction, hypertension and metabolic disturbances [18], which may contribute to or underlie the observed SAN arrhythmias. We found that the nodal defects in db/db mice coincide with a relative denervation of SAN as implicated by a 29% lower expression of synaptophysin in right atrial tissue (Figure 6), in accordance with earlier reports from an animal model of diabetic cardiac autonomic neuropathy [33]. In the present study, we have not proven a causal relationship between reduced nerve density in pacemaker tissue of db/db mice and abnormal heart rate fluctuations; however, since SAN arrhythmia was not present at the resting conditions, but developed as a consequence of a persistent autonomic challenge, it strongly suggest a contribution of defective autonomic SAN regulation and potentially neurotransmitter depletion in diabetes-related nodal dysfunction. This is supported by the clinical finding of cardiovascular autonomic neuropathy in up to 90% patients with advanced diabetes [34], and reports of compromised neurotransmitter handling in cardiac tissue from diabetic patients [3537].

Isoprenaline is a mixed β-adrenergic receptor agonist that besides it’s positive chronotropic response via β1-adrenergic receptors in the SAN will elicit a β2-mediated relaxation of arterioles, resulting in a reduction of the peripheral blood pressure. Activation of the baroreceptors would augment the activity of the sympathetic nerves to the heart and reduce vagal activity. Spontaneous baroreflex sensitivity is comparable in db/db and db/+ mice [19], and it is not affected by the presence of diabetes in patients with coronary artery disease [38]. Notwithstanding, cardiac autonomic neuropathy and vagal remodeling is a serious complication of diabetes; however, animal studies have shown that cardiac cholinergic neurons and atrial sensitivity to acetylcholine are not lost [39]. In the present study, we have not monitored peripheral blood pressure and cannot comment on the potential impact of baroreceptor sensitivity or cardiac autonomic neuropathy on the observed RR fluctuations in db/db mice.

The mechanisms behind the observed SAN dysfunction remain elusive. Sinoatrial conduction time may be impaired due to lipid accumulation and lipotoxicity in hyperglycemic diabetes [40]. In addition, rats offered high-glucose drinking water for 8 weeks develop dysfunctional SAN and perinodal fat depositions, potentially explaining the elevated RR fluctuations in the animals [41]. Oxidative stress causing SAN cell death and fibrotic replacement via chronic activation of the calcium/calmodulin-dependent protein kinase II (CaMKII) has been suggested to contribute to increased sudden death in diabetic patients [15]. Moreover, hyperglycemia directly activates CaMKII in ventricular cardiomyocytes thereby aggravating calcium-dependent cardiac arrhythmias [42]. In the isoprenaline experiments of the present study, relative hyperglycemia and activation of the β-adrenergic signaling pathway may have conspired to activate CaMKII in the db/db SAN [43] thereby facilitating SAN arrhythmias. In the invasive studies, relative hypoglycemia and absent β-adrenoceptor stimulation may explain why overt RR fluctuations were not observed.

Early hemodynamic remodeling in diabetic mice

Echocardiographic imaging of diastolic function in db/+ mice showed transmitral flow velocities comparable to earlier reports in wild-type mice [25]. Cardiac imaging in db/db mice showed diastolic insufficiency and increased systolic function. These alterations are similar to findings from patients with insulin resistance and early-stage diabetes that show diastolic dysfunction, but no signs of systolic impairment or structural changes [44,45]. The smaller weight of the db/db hearts is in part explained bý the shorter LV parasternal length. It is tempting to speculate that that the shorter LV length in db/db mice contributes to improved systolic function via a reduction of wall stress, according to La Place’s law. Several other studies have used cardiac imaging to evaluate cardiac structure and mechanical function in db/db model. It appears that no consensus is established as some reports show cardiac hypertrophy with systolic and diastolic dysfunction [46,47], whereas others reported no change in cardiac function [20]. Discrepancies between some reports may be due to the duration and the type of diabetes, background mouse strain, gender and anesthesia.

The present study was performed in leptin-receptor deficient mice characterized by high levels of circulating leptin. Leptin-deficient mice develop obesity and cardiac remodeling which is completely reversed by leptin infusion, suggesting that leptin itself has cardiac anti-hypertrophic bioactivity [22]. Notwithstanding, pro-hypertrophic effects of leptin has also been shown, primarily in vitro [4850], but also in vivo [51]. It is not known whether high plasma levels of leptin, obesity or diabetes per se is the culprit for inducing the observed SAN dysfunction or the reduced autonomic nerve density.

Electrocardiographic abnormalities in db/+ mice

We chose to use the genetically comparable, lean, non-diabetic db/+ mice as controls in the present study, rather than +/+ mice. The variability in the cardiac axis among the individual db/+ mice in the present study is surprisingly large (Figure 2A). The cardiac QRS axis is the general direction of the depolarization wave front in the ventricles, and would normally lie between 0 and 120° when the impulse spread from the AV node throughout the heart. Left and right sided axis deviation from the normal range are usually contributed to left or right ventricular hypertrophy, respectively, or a conduction defect. Excessive abdominal fat, as is often seen in T2DM patients, can displace the diaphragm and angle the heart towards an apparent left axis deviation, when the patient is in a supine position; however, this cannot be the underlying reason for the axis variability in the lean controls. It is beyond the scope of the present study to determine the reason for the highly inconsistent and abnormal cardiac axis among db/+ mice, but it raises a serious concern regarding whether the db/+ mouse is an appropriate control for the db/db mouse in studies of cardiac complications in the setting of diabetes.

Clinical implications

The association between diabetes and defective pacemaker function in the heart may contribute to the increased cardiovascular mortality in the diabetic population. As diabetic patients are overrepresented in the population with electronic pacemakers treating intrinsically slow heart rates [7], experimental, translational and clinical studies of SAN function on a diabetic background are relevant. Diabetic patients may be at increased risk of life-threatening cardiac arrhythmias when exposed to periods of increased adrenergic drive in physical exercise or emotional stress. Future clinical studies should be designed to verify if diabetes constitutes a risk factor for development of SAN dysfunction and if so whether it’s early detection and treatment could lower mortality in diabetic patients.

Limitations

The present study offers little insight into the time course of diabetes-related SAN dysfunction as we evaluated mice only at one time point. Synaptophysin is a general marker of nerve synapses, and we have not established a causal mechanism between synaptophysin downregulation and SAN dysfunction. Db/db mice are obese, hyperglycemic and diabetic and which metabolic alteration is the primarily driver for development of SAN dysfunction remains to be determined. Anesthesia reduces the power of HRV and conclusions from the frequency domain analysis should be drawn with caution [52]. Finally, limitations have to be considered when extrapolating experimental data from small animals to diabetic patients.

Conclusions

Sinoatrial node dysfunction, characterized by prolonged CSNRT and autonomic nerve rarefaction, is present in mice with diabetes. β-Adrenoreceptor stimulation triggers cardiac arrhythmia originating in the SAN. Thus, dysfunction of the intrinsic cardiac pacemaker and remodeling of the autonomic nervous system may conspire to increase cardiac mortality in diabetic patients. Moreover, improved systolic function and reduced diastolic function indicates early ventricular remodeling secondary to obesity and T2DM in db/db mice.

Funding

This work was supported by The Danish Agency for Science, Technology and Innovation, Medical Research Council (grant numbers 10–084244 and 12–132164 to M.B.T.) and the Danish National Research Foundation Centre for Cardiac Arrhythmia.

Footnotes

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All experiments were performed at the University of Copenhagen. ES and MBT contributed to the conception and design of the experiments, the collection, analysis and interpretation of data, and to writing the manuscript. TS contributed to the conception and design of the experiments, the collection, analysis and interpretation of data. SVW contributed to the analysis and interpretation of data. All authors read and approved the final manuscript.

Contributor Information

Ewa Soltysinska, Email: ewas@sund.ku.dk.

Tobias Speerschneider, Email: tobiassp@sund.ku.dk.

Sine V Winther, Email: swinther@sund.ku.dk.

Morten B Thomsen, Email: mbthom@sund.ku.dk.

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