Articles

High intensity interval training alters substrate utilization and reduces oxygen consumption in the heart

Abstract

Aims: although exercise training induces hypertrophy with improved contractile function, the effect of exercise on myocardial substrate metabolism and cardiac efficiency is less clear. High intensity training has been shown to produce more profound effects on cardiovascular function and aerobic capacity than isocaloric low and moderate intensity training. The aim of the present study was to explore metabolic and mechanoenergetic changes in the heart following endurance exercise training of both high and moderate intensity. Methods and Results: C57BL/6J mice were subjected to 10 wk treadmill running, either high intensity interval training (HIT) or distance-matched moderate intensity training (MIT), where HIT led to a pronounced increase in maximal oxygen uptake. Although both modes of exercise were associated with a 10% increase in heart weight-to-body weight ratio, only HIT altered cardiac substrate utilization, as revealed by a 36% increase in glucose oxidation and a concomitant reduction in fatty acid oxidation. HIT also improved cardiac efficiency by decreasing work-independent myocardial oxygen consumption. In addition, it increased cardiac maximal mitochondrial respiratory capacity. Conclusion: This study shows that high intensity training is required for induction of changes in cardiac substrate utilization and energetics, which may contribute to the superior effects of high compared with moderate intensity training in terms of increasing aerobic capacity.

high intensity aerobic interval training has been shown to have a more profound influence on cardiovascular function and aerobic capacity than isocaloric low and moderate intensity training in both healthy humans (22, 50) and rodents (30), but also in patients with heart failure (53). Low aerobic capacity is an important predictor for development of cardiovascular disease (33). Increased physical activity increases aerobic capacity, and exercise training has become important for prevention of heart disease, as well as for treatment and rehabilitation of patients with heart disease.

Chronic exercise training leads to a variety of systemic changes in the circulatory system and in the heart, for instance a physiological/adaptive hypertrophy with preserved or enhanced ventricular function (5, 40, 44). Although several physiological and pathophysiological conditions show a clear association between cardiac function, myocardial metabolism, and cardiac energetics (20, 25, 37, 54), the cardiometabolic effect of exercise is not clear. Only a few studies have directly measured cardiac substrate utilization following exercise training, and the results diverge; both increased or unaltered glucose oxidation, increased fatty acid (FA) oxidation, and/or decreased or unaltered glycolysis have been reported (11, 14). As no direct measurements of the overall training effect (i.e., aerobic capacity) were reported, it cannot be excluded that exercise duration and intensity may play a pivotal role in the regulation of the exercise-induced myocardial substrate utilization and/or gene expression. There is also limited information related to the effect of exercise training on cardiac energetics. Exercise training has been shown to increase cardiomyocyte shortening and Ca2+ myofilament sensitivity (28, 29, 52), and to reduce mitochondrial ROS production (46) and uncoupling (7) in the heart. It is therefore reasonable to believe that exercise may decrease processes known to be associated with oxygen waste and thus improve cardiac efficiency. The objective of the present study was therefore to investigate the metabolic and mechanoenergetic changes in the heart following long-term endurance exercise with two different exercise intensities.

METHODS

Study design and animals.

Twenty-six C57BL/J6 male mice (7 to 9 wk of age) were subjected to high intensity interval training (HIT) or to moderate intensity continuous training (MIT) in two separate experimental series. Twelve mice were subjected to each of the exercise modalities, and 13-14 age- and weight-matched mice were allocated to each exercise group and used as sedentary controls (SED). The investigation conforms to the Guide for the Care and Use of Laboratory Animals published by the US National Institutes of Health (NIH Publication No. 85–23, revised 1996) and was approved by the Norwegian National Animal Research Committee. All mice had free access to food [standard mouse chow, RM1(E) from Special Diet Service, UK] and water, and were housed at 23°C on a reversed light/dark cycle.

Training and determination of aerobic capacity.

Treadmill running (Modular Treadmill, Columbus Instruments at 25° inclination) at high and moderate intensity was performed 5 days/wk for 10 wk according to a protocol slightly modified from that described by Kemi et al. in 2002 (31). HIT consisted of 10 bouts of 4 min high intensity running, corresponding to 85–90% of maximal oxygen consumption (V̇o2max), interspersed by 2 min of active rest. The interval pace was increased gradually from 16 to 26 m/min over 8 wk and maintained at this value for the rest of the exercising period. MIT consisted of continuous running corresponding to 65–70% of VO2max where the distance covered was matched to that of HIT. The average running time was close to 2 h. The pace during MIT was increased gradually from 9 to 13 m/min over 8 wk, and maintained at this value for the rest of the exercising period. V̇o2max was measured using a treadmill (25° inclination) in a metabolic chamber (Modular treadmill with Oxymax open circuit calorimeter, Columbus Instruments). The speed was gradually increased until oxygen consumption leveled off despite increased running speed and respiratory quotient (RER) approximated 1, where V̇o2max was defined. The running speed at which V̇o2max was obtained was defined as speedmax.

Plasma parameters.

Blood samples were taken from fasted (4 h) and fed mice at 1300. Plasma glucose, free fatty acids, and triglycerides were analyzed using commercial kits from Boehringer Mannheim (Mannheim, Germany), Wako Chemicals (Neuss, Germany), and ABX Diagnostics (Montpellier, France), respectively.

Transcriptional changes.

Left ventricular tissue from perfused hearts were immersed in RNAlater (Qiagen, Hilden, Germany), and total RNA was extracted according to the RNeasy Fibrous Tissue kit Protocol (Qiagen Nordic, Norway). Quantification and purity of RNA was measured spectrophotometrically. Real-time PCR (qPCR) was performed in an ABI PRISM 7900 HT Fast real-time thermal cycler (19). Housekeeping genes were selected on the basis of the average expression stability determined with Normfinder (3) from a pool of five candidate genes, and mRNA expression of the genes of interest was adjusted to housekeeping genes. Primer/probe sequences for housekeeping genes, transcription regulators, and PPARα target genes are given in Haftsad et al. (19). Primer sequences for antioxidant enzymes are given in Khalid et al. (34). Where probes are not specified, cyber green was used. Forward and reverse primer and probe sequences (5′-3′), b-type natriuretic peptide (bnp): forward: CCA-GTC-TCC-AGA-GCA-ATT-CAA, reverse: GCC-ATT-TCC-TCC-GAC-TTT-T and probe TGC-AGA-AGC-TGC-TGG-AGC-TGA-TAA-GA, atrial natriuretic factor (anf): forward: AGT-GCG-GTG-TCC-AAC-ACA, reverse: CTT-CAT-CGG-TCT-GCT-CGC and probe: TCT-GAT-GGA-TTT-CAA-GAA-CCT-GCT-AGA-CCA, calcium adenosine triphosphatase 2 (serca2): forward: TCG-ACC-AGT-CAA-TTC-TTA-CAG-G, reverse: GGG-ACA-GGG-TCA-GTA-TGC-TT and probe: # 94 in Roche Universal ProbeLibrary, α-myosin heavy chain isoform (αmhc): forward: TGG-TCA-CCA-ACA-ACC-CAT-ACG-ACT and reverse: TGT-CAG-CTT-GTA-GAC-ACC-AGC-CTT, β-myosin heavy chain isoform (βmhc): forward: GCC-AAC-ACC-AAC-CTG-TCC-AAG-TTC and reverse: TGC-AAA-GGC-TCC-AGG-TCT-GAG-GGC, lactate dehydrogenase (ldh): forward: CAT-TGT-CAA-GTA-CAG-TCC-ACA-CT and reverse: TTC-CAA-TTA-CTC-GGT-TTT-TGG-GA, vascular endothelial growth factor (vegf): forward: CAA-GCC-AAG-GAG-GTG-AGC-CA and reverse: TCT-GCC-GGA-GTC-TCG-CCC-TC.

Ex vivo working hearts.

Myocardial glucose and palmitate oxidation were measured in isolated perfused hearts (1) and expressed as oxidation rates per gram dry weight, using a dry-to-wet weight ratio of 1 to 5. Values of left ventricular contractile function, total cardiac work (pressure-volume area, PVA), and myocardial oxygen consumption (MVO2) were then assessed using a 1.0-Fr. micromanometer-conductance catheter (Millar Instruments, Houston, TX), which was inserted into the left ventricle through the apex. Fiber-optic oxygen probes (FOXY-AL300, Ocean Optics, Duiven, Netherlands) were placed in the left atrial cannula (adjacent to the heart) and in the pulmonary trunk (20, 24). MVO2 was calculated by the following equation: MVO2 = [PO2 (oxygenated perfusate) − PO2 (coronary effluent)]·Bunsen solubility coefficient of O2·coronary flow. To determine cardiac efficiency, electrically paced hearts were exposed to different workloads (24). Steady-state values of PVA and MVO2 were obtained at each workload to perform regression analysis of the relationship between PVA and MVO2. The PVA-MVO2 regression allows the myocardial oxygen cost to be separated in two parts: work-independent MVO2 (y-intercept of the PVA-MVO2 relationship) and work-dependent MVO2 (contractile efficiency, i.e., the inverse slope of the PVA-MVO2 relationship) (48). Work-dependent MVO2 is a measure of the energy cost of excitation-contraction coupling and basal metabolism, while contractile efficiency reflects the amount of metabolic energy that is converted into mechanical work. MVO2 was also measured in unloaded retrogradely perfused hearts before (MVO2unloaded) and after KCl arrest to measure oxygen cost for basal metabolism (MVO2BM) (8). Oxygen cost for excitation-contraction coupling (MVO2ECC) was defined as the value obtained by subtracting MVO2BM from MVO2unloaded.

Citrate synthase activity and mitochondrial respiration.

Citrate synthase activity, a commonly used marker of mitochondrial content (9, 10), was measured spectrophotometrically, using a slight modification of the method of Srere (45). Mitochondrial respiration was measured in saponin-permeabilized cardiac fibers by high-resolution respirometry as described earlier (34). Respiration was assayed following addition of glutamate (10 mM) and malate (2 mM) as complex I substrate supply (V0). V̇o2max was obtained after addition of 2.5 mM ADP, and VOligo was obtained after addition of 1 μg/ml oligomycin. O2 flux was calculated from the negative time derivative of the oxygen concentration signal, using DatLab 4 software from Oroboros Instruments. Respiration was related to both fiber weight and CS activity to adjust for potential differences in mitochondrial content.

Statistical analysis.

Data are expressed as means ± SE. Differences between groups were analyzed using an unpaired t-test. Where normality test failed (Shapiro-Wilk test), a Mann-Whitney Rank Sum Test was performed. One-Way ANOVA was used for comparison of the effect of HIT and MIT.

RESULTS

Effect of exercise on body weight and plasma energy substrates.

Both HIT and MIT reduced fasting levels of circulating free fatty acid (FA) and increased fasting plasma glucose slightly. Neither MIT nor HIT influenced body weight (Table 1).

Table 1. Biometric data, aerobic capacity, plasma parameters, and cardiac function in mice following 10 wk of MIT and HIT as well as in age-matched sedentary mice

SED MIT SED HIT
Biometric data n = 13 n = 12 n = 14 n = 12
    Body weight, g 29.2 ± 0.5 28.1 ± 0.6 25.8 ± 0.4 25.6 ± 0.4
    Heart /body weight ratio, % 0.45 ± 0.01 0.50 ± 0.01* 0.46 ± 0.01 0.50 ± 0.01*
    CS activitymuscle, IU/g wet wt 14.4 ± 0.8 20.9 ± 1.7* 13.8 ± 1.0 18.4 ± 1.6*
Aerobic capacity and running speed
    V̇o2max, ml·min−1·kg−1 116 ± 2 130 ± 1* 117 ± 1 140 ± 2*
    Speed at V̇o2max, m/min 18.2 ± 0.2 24.1 ± 1.0* 20.0 ± 0.7 32.3 ± 0.8*
    Normalized V̇o2max 1.00 ± 0.01 1.12 ± 0.01* 1.00 ± 0.01 1.19 ± 0.01*
    Normalized speed at V̇o2max 1.00 ± 0.01 1.33 ± 0.01 1.00 ± 0.01 1.62 ± 0.01*
Plasma parameters
    Glucosefasted, mM 8.5 ± 0.4 10.5 ± 0.2* 9.1 ± 0.3 10.5 ± 0.6*
    Glucosefed, mM 10.9 ± 0.2 10.3 ± 0.4 10.9 ± 0.6 11.7 ± 0.4
    FAfasted, μM 923 ± 41 673 ± 46* 1180 ± 43 957 ± 56*
    TGfasted, mM 0.64 ± 0.02 0.60 ± 0.03 0.74 ± 0.02 0.70 ± 0.03
Cardiac function (n = 7) (n = 8) (n = 9) (n = 8)
    Aortic flow, ml·min−1·g wet wt−1 93.1 ± 2.8 89.8 ± 3.2 92.5 ± 6.05 101.8 ± 5.5
    Coronary flow, ml·min−1·g wet wt−1 30.7 ± 1.5 28.4 ± 0.8 26.4 ± 1.1 24.0 ± 2.4
    Pes 62.2 ± 1.8 60.4 ± 3.5 61.3 ± 1.8 62.8 ± 1.4
    Ped 3.8 ± 0.2 4.4 ± 0.5 4.6 ± 0.5 5.3 ± 0.5
    dP/dtmax, mmHg/s 4,789 ± 64 4,471 ± 274 5,419 ± 489 5,360 ± 589
    dP/dtmin, mmHg/s −3,570 ± 106 −3,360 ± 170 −3,997 ± 360 −3,891 ± 415
    Stroke work, mmHg·μl−1·mg wet wt−1 15.6 ± 1.5 14.5 ± 0.6 14.3 ± 1.0 15.8 ± 1.2
    Tau, ms 17.0 ± 0.3 19.4 ± 1.6 17.0 ± 1.0 17.4 ± 1.4
    EDPVR, mmHg/μl 0.13 ± 0.01 0.12 ± 0.01 0.18 ± 0.03 0.15 ± 0.01
    PRSWi, mmHg 25.7 ± 1.7 23.2 ± 1.9 21.9 ± 0.9 27.8 ± 2.0*

Values are means ± SE. To compare the effect of moderate intensity training (MIT) and high intensity training (HIT) on aerobic capacity and running speed, values were normalized to those of their sedentary controls. Cardiac function was measured in isolated perfused hearts paced at 7 Hz, using a 1-Fr. conductance catheter inserted into the left ventricle. Steady-state parameters were obtained with pre- and afterload settings of 8 and 50 mmHg, respectively. Pes and Ped, lLeft ventricular systolic and diastolic pressure, respectively; dP/dtmax and dP/dtmin, maximal slopes of systolic pressure increment and diastolic pressure decrement, respectively; Tau, early diastolic relaxation time; CS, citrate synthase; FA, fatty acids; TG, triacylglycerol. Functional parameters obtained by a temporary preload reduction are slope of end-diastolic-pressure-volume relationships (EDPVR) and preload-recruitable stroke work index (PRSWi).

*P < 0.05 vs. SED.

P < 0.05 vs. MIT for normalized values.

Exercise-induced cardiac hypertrophy.

Both exercise training regimens resulted in cardiac hypertrophy, as indicted by a 10% increase in the heart to body weight ratio (Table 1). The exercise-induced cardiac hypertrophy following MIT and HIT was not associated with changes in the expression of B-type natriuretic peptide (bnp) or atrial natriuretic factor (anf) (Table 2). HIT induced an increase in cardiac mRNA expression of the α-myosin heavy chain isoform (αmhc), whereas the β-myosin heavy chain isoform (βmhc) was reduced (Table 2). There were no transcriptional changes in these genes following MIT. Neither MIT nor HIT altered cardiac mRNA expression of sarcoplasmic reticulum calcium ATPase (serca2) (Table 2).

Table 2. mRNA expression of genes in cardiac tissue from mice following MIT, HIT, and from age-matched SED

SED MIT SED HIT
pparα 1.00 ± 0.05 0.84 ± 0.07 1.00 ± 0.03 0.85 ± 0.06*
pgc1α 1.00 ± 0.09 0.79 ± 0.08 1.00 ± 0.13 1.12 ± 0.15
vegf 1.00 ± 0.04 0.87 ± 0.04* 1.00 ± 0.04 1.20 ± 0.07*
ldh 1.00 ± 0.04 1.11 ± 0.06 1.00 ± 0.05 1.16 ± 0.04*
hk 1.00 ± 0.03 0.97 ± 0.02 1.00 ± 0.11 1.11 ± 0.04*
βmhc 1.00 ± 0.22 0.70 ± 0.11 1.00 ± 0.08 0.64 ± 0.08*
amhc 1.00 ± 0.04 0.93 ± 0.04 1.00 ± 0.01 1.12 ± 0.02*
serca2 1.00 ± 0.05 0.97 ± 0.05 1.00 ± 0.02 1.00 ± 0.02
sod 1.00 ± 0.04 0.97 ± 0.04 1.00 ± 0.02 1.06 ± 0.01*
cat 1.00 ± 0.03 0.95 ± 0.05 1.00 ± 0.02 1.10 ± 0.02*
anf 1.00 ± 0.13 0.71 ± 0.11 1.00 ± 0.20 1.04 ± 0.14
bnp 1.00 ± 0.10 1.06 ± 0.14 1.00 ± 0.08 1.08 ± 0.10

Values are means ± SE in arbitrary units, n = 6–8 in each group. Pparα, peroxisome proliferator-activated receptor α; pgc1α, peroxisome proliferator activator γ coactivator-1α; vegf, vascular endothelial growth factor; ldh, lactate dehydrogenase; hk, hexokinase type 2; βmhc and αmhc, α− and β-myosin heavy chain isoforms; serca2, (calcium adenosine triphosphatase 2); sod, superoxide dismutase; cat, catalase; anf, atrial natriuretic factor; bnp, B-type natriuretic peptide. mRNA levels were normalized to the geometric mean of hypoxanthine phosphoribosyltransferase, cyclophilin, and succinate dehydrogenase complex subunit A.

*P < 0.05 vs. SED.

Aerobic capacity.

HIT and MIT resulted in increased V̇o2max (Table 1). Normalization of V̇o2max to their corresponding controls revealed that the exercise-induced increase in V̇o2max was most pronounced following HIT (Table 1). The increased V̇o2max was associated with an increase in running speed at V̇o2max following both MIT and HIT, again with the most pronounced increase following HIT.

Ventricular function.

Ventricular function was measured in electrically paced isolated working hearts at steady-state conditions (8 mmHg preload and 50 mmHg afterload). Absolute values of aortic flow and stroke volume were increased following HIT (13.1 ± 0.6 vs. 10.7 ± 0.6 ml/min and 38.5 ± 2.0 vs. 32.9 ± 1.3 μl/beat, respectively, both P < 0.05). These changes were related to increased heart weight, and weight-adjusted values of aortic flow and stroke volume were similar for both groups (Table 1). HIT did not alter ventricular pressure or its first derivative during derivative during baseline loading conditions. Preload-recruitable stroke work index (PRSWi), an index of contractility, was increased (Table 1), although end-systolic pressure-volume relationships (ESPVR) were unaltered (data not shown). Parameters of ventricular diastolic function (EDPVR and Tau) were not altered by HIT.

MIT did not alter steady-state baseline ventricular function or any of the load-independent functional parameters (Table 1).

Myocardial substrate utilization and gene expression.

HIT induced a shift in myocardial substrate utilization, as indicated by a 1.4-fold increase in myocardial glucose oxidation and a concomitant 37% decrease in FA oxidation (Fig. 1). These changes were not related to changes in external cardiac work, since cardiac output of the ex vivo perfused hearts from both the HIT and MIT group (119 ± 6 and 125 ± 7 ml·min−1·g wet wt−1) was not different from that of their respective controls (114 ± 5 and 123 ± 6 ml·min−1·g wet wt−1). Due to the somewhat unexpected shift in cardiac substrate utilization toward glucose oxidation following HIT, we investigated target genes of HIF-1α and found an upregulation of cardiac gene (mRNA) expression of lactate dehydrogenase (ldh), hexokinase (hk), and vascular endothelial growth factor (vegf) following HIT (Table 2); MIT did not increase the expression of these genes. Significant and borderline (P = 0.087) reductions in the cardiac expression of pparα following HIT and MIT, respectively, were not accompanied by reduced cardiac expression of PPARα target genes (data not shown). HIT was associated with increased gene expression of superoxide dismutase (sod) and catalase (cat) (Table 2).

Fig. 1.

Fig. 1.Oxidation rates in isolated working mouse hearts following 10 wk of moderate intensity continuous training (MIT), high intensity interval training (HIT), and in age-matched sedentary mice (SED). Bars are means ± SE, n = 9–11 in each group, *P < 0.05 vs. SED.


Cardiac MVO2 and efficiency.

Cardiac efficiency was assessed by regression analysis of the relationship between MVO2 and cardiac work (pressure-volume area or PVA). We found that HIT increased cardiac efficiency by reducing work-independent MVO2 (given by the y-intercept of the PVA-MVO2 regression line, Table 3), indicating that HIT reduced the oxygen costs for non-contractile processes. Contractile efficiency (1/slope of the PVA-MVO2 relationship), however, was not significantly altered (Table 3). The reduced work-independent MVO2 following HIT was also supported by direct measurement of MVO2 in mechanically unloaded and retrograde perfused hearts (MVO2 unloaded; Fig. 2). By electrically arresting these hearts, we also found a reduced MVO2 for basal metabolism (MVO2 BM), while oxygen cost for excitation-contraction coupling (MVO2 ECC) was unaltered (Fig. 2). In contrast to HIT, we did not find MIT to alter cardiac efficiency, MVO2 unloaded, MVO2 BM, or MVO2 ECC.

Table 3. Regression analysis of the relationship between myocardial oxygen consumption (MVO2) and pressure-volume work (PVA) measured in isolated working mouse hearts at varying workloads following MIT and HIT

SED MIT SED HIT
Contractile efficiency 0.38 ± 0.02 0.42 ± 0.14 0.48 ± 0.07 0.37 ± 0.08
Work-independent MVO2 7.5 ± 0.4 7.4 ± 0.7 7.0 ± 0.4 4.1 ± 0.8*
r2 0.93 ± 0.01 0.90 ± 0.02 0.93 ± 0.02 0.97 ± 0.01

Values are mean ± SE, n = 5–9 in each group. The y-intercept of the pressure-volume work- myocardial oxygen consumption (PVA-MVO2) relationship represents the work-independent MVO2 (expressed as mJoule·beat−1·g wet wt−1), inverse of the slope of this relationship represent contractile efficiency (dimensionless), and r2 is the square of the regression coefficient. SED mice were used as controls.

*P < 0.05 vs. SED.

Fig. 2.

Fig. 2.Myocardial oxygen consumption measured in retrogradely perfused and unloaded hearts; (MVO2unloaded, gray bars), oxygen consumed for basal metabolism (MVO2BM, white bars), and calculated oxygen consumed for excitation-contraction coupling (MVO2ECC, black bars) following 10 wk of MIT and HIT and in age-matched sedentary mice (SED). Bars are means ± SE, n = 8–11 in each group, *P < 0.05 vs. SED.


Citrate synthase activity and mitochondrial respiration.

Although both HIT and MIT increased citrate synthase (CS) activity in skeletal muscle (Table 1), only HIT was found to increase CS activity in the heart (Fig. 3C). The increase in myocardial CS activity was not matched by a concomitant increase in pgc-1α expression (Table 2), a finding that could probably be explained by the fact that tissue samples were harvested 24 h following the last training session, while changes in the mRNA level of pgc-1α following high intensity training are only transient, as reported for skeletal muscle (39).

Fig. 3.

Fig. 3.Mitochondrial function in saponin-permeabilized cardiac fibers obtained from mice following 10 wk of MIT (A, white bars) and HIT (B, hatched bars). Sedentary age-matched mice were used as control groups (SED, black bars). CS activity in cardiac muscle is given in (C). Respiration in the presence of glutamate (10 mM) and malate (2 mM) (V0), following addition of 2.5 mM ADP (Vmax) and after addition of 1 μg/ml oligomycin (Voligo). The respiratory control ratios (Vmax: Voligo) was 2.9 ± 0.3 and 3.1 ± 0.4 for SED and MIT, respectively, and 2.4 ± 0.3 and 2.8 ± 0.4 for SED and HIT, respectively. Bars are means ± SE, n = 8 in each group, *P < 0.05 vs. SED.


Mitochondrial respiration measured in permeabilized cardiac fibers demonstrated a 35% increase in state 3 respiration (maximal respiratory capacity, Vmax, P < 0.005) following HIT (Fig. 3B). State 3 respiration was also significantly increased when adjusted for CS activity in the fiber as (29.9 ± 2.3 vs. 36.9 ± 2.1 nmol·min−1·U−1, P = 0.044), although we did not find HIT to induce changes in respiration after addition of oligomycin (Voligo). MIT did not alter mitochondrial respiration rates.

DISCUSSION

Pathological hypertrophy is associated with a distinct cardiac phenotype with contractile dysfunction and altered myocardial substrate utilization, reflected by reduced FA oxidation and increased carbohydrate utilization (2, 13, 15, 37). In contrast, assessment of the exercise-induced cardiac phenotype has revealed inconsistent results. In a comprehensive study on rats, exercise was found to upregulate cardiac expression of metabolic genes involved in FA uptake, glycolysis, and glucose oxidation, and where improved myocardial ability to oxidize glucose was inferred based on observed transcriptional changes (47). However, in another study, enhanced FA utilization was suggested based on cardiac transcriptional changes (26). Direct measurements of myocardial oxidation rates following exercise training have shown a simultaneous increase both in glucose and FA oxidation (14) or unaltered glucose oxidation (11). One reason for the inconsistencies in metabolic phonotype following exercise may be variability in exercise protocols, as exercise intensity and the effect on aerobic capacity is not mentioned in previous studies. We therefore designed a protocol to evaluate the cardiometabolic effect of exercise intensity in physiological hypertrophy.

In accordance with earlier reports (22, 30, 50), HIT was found to be superior to MIT with regard to increasing aerobic capacity (V̇o2max) and running speed. Although both exercise protocols induced a similar physiological hypertrophy based on increased heart mass, cardiac function was unaltered by MIT. The effect of HIT on contractile function was subtle and may primarily be due to the increase in cardiac size (5, 40). HIT modestly increased ventricular contractility (as indicated by an increase in the preload recruitable stroke work index), which was accompanied by a switch in the myosin heavy chain (MHC) isoform, as indicated by increased gene expression of αMHC and decreased expression of βMHC in the heart. As the ATPase activity in the α-isoform is nearly three times higher than of the β-isoform, this may contribute to increased shortening velocity and capacity for power generation, changes that will be advantageous for preserving heart function under stress (18).

In contrast to the modest effect of exercise on ventricular function, the present study showed that high intensity exercise induced a substantial shift in myocardial substrate utilization toward increased glucose oxidation, while FA oxidation rates were reduced. MIT did not alter myocardial oxidation rates, which is similar to what Broderick et al. (11) found in hearts from exercise-trained rats. The HIT-induced shift in myocardial substrate utilization resembles changes commonly associated with those of a “stressed” heart (42) and may therefore represent an important metabolic adaptation of cardiac muscle to repeated exposure to high intensity workloads. It is known from studies on skeletal muscle that carbohydrates is the major fuel for oxidative metabolism during exercise of high intensities (12). Some of the cardiac transcriptional changes observed following HIT are also similar to those induced by increased load and hypoxia, including increased gene expression of HIF 1-α target genes and decreased expression of pparα (35, 36, 43), which may suggest that high workloads during HIT can be associated with episodes of reduced oxygen tension in the cardiac tissue, activating pathways commonly associated with pathological hypertrophy. Interestingly, increased glucose oxidation and reduced FA oxidation have previously been documented in hearts from mice overexpressing Ca2+ ATPase (SERCA), which was associated with increased mitochondrial calcium content and pyruvate dehydrogenase activity (6). Although mitochondrial calcium content was not measured in the present study, increased myocardial SERCA content and activity in rodents following aerobic interval training is well documented in the literature (27, 28, 52) and could therefore be a contributing factor to the metabolic shift observed following HIT.

Another novel effect of HIT described for the first time in the present study is increased cardiac efficiency due to reduced myocardial oxygen consumption for nonmechanical work. Although comparative studies on humans have demonstrated lower MVO2 in athletes than in untrained controls (21, 49), the factors contributing to the reduction in MVO2 were not revealed. In the present study, HIT did not alter contractile efficiency (work-dependent MVO2, determined from the slope of the PVA-MVO2 relationship), but it reduced work-independent MVO2 (unloaded MVO2), which includes oxygen cost associated with basal metabolism and excitation-contraction (E-C) coupling. In further experiments, HIT did not influence the oxygen cost for E-C coupling but reduced the component for basal metabolism. As previous studies have reported HIT to increase cardiomyocyte shortening accompanied by reduced Ca2+ amplitude and increased myofilament Ca2+ sensitivity (28, 29, 52), unaltered oxygen cost for E-C coupling and contractile efficiency was unexpected. In addition to the obvious differences between a work-loaded heart and unloaded cardiomyocytes with respect to energy consumption, expected changes in contractile efficiency due to increased myofilament Ca2+ sensitivity may have been counteracted by the observed shift toward the αMHC isoform, as it is thought to be energetically more expensive than βMHC isoform (18).

Although the HIT-induced reduction in unloaded MVO2 may be related to the observed switch in myocardial substrate utilization (as the P/O ratio for glucose oxidation is higher compared with fatty acid oxidation), this cannot solely be the underlying mechanism, as a complete switch from FA to carbohydrate as energy substrate could theoretically account for maximally 12% reduction in MVO2. An additional mechanism for myocardial oxygen wasting is increased mitochondrial uncoupling induced by either FA (23) or reactive oxygen species (ROS) (16). HIT could potentially reduce uncoupling through its lipid-lowering effect and, in addition, transcriptional downregulation of uncoupling proteins has previously been demonstrated following exercise (47). Exercise-induced oxygen-sparing mechanisms could also include increased myocardial antioxidant capacity (7, 41), reduced mitochondrial ROS production, and thus diminished ROS-induced mitochondrial uncoupling (7, 46). In support of an exercise-induced increase in myocardial antioxidant capacity, HIT increased the myocardial gene expression of manganese superoxide dismutase and catalase.

It is well known that both prolonged exercise of moderate intensity (4) and high intensity interval training (17) induce mitochondrial biogenesis in skeletal muscle, and accordingly both high and moderate intensity training was found to increase CS activity in skeletal muscle. In cardiac tissue, however, only HIT increased CS activity. This result shows that the myocardium does not respond easily to exercise training and that it probably exhibits less metabolic plasticity than skeletal muscle. HIT was also found to markedly increase maximal mitochondrial respiration (Vmax) in skinned myocardial fibers, an effect that was not only due to higher mitochondrial content but also to a higher electron transfer chain capacity, as Vmax was found to be increased also when adjusted to CS activity. These results suggest that exercise needs to be of high intensity to activate the intracellular pathways responsible for the mitochondrial adaptations in cardiac muscle, which could be essential for myocardial ATP production during high workloads.

The fact that isocaloric moderate intensity training did not induce changes in cardiac substrate oxidation rates, mitochondrial respiration, and myocardial MVO2 illustrates that the term “exercise-induced metabolic effects” should be used with caution, as such effects clearly are dependent on exercise intensity. The present study may therefore partly explain the diversity regarding the exercise-induced effects reported in the literature (11, 14). Furthermore, as heart failure is associated with reduced mitochondrial capacity, reduced contractile function, impaired oxidative capacity, and impaired energetic status (15, 38) the presently observed HIT-induced cardiac adaptations (increased contractility, increased glucose oxidation, improved mitochondrial function, and decreased unloaded MVO2) represent changes that could be considered beneficial. Our data may therefore point to potential mechanisms that could explain the profound beneficial cardiovascular effects of HIT found both in animal models of heart failure and in post-infarcted patients (32, 51, 53).

In conclusion, we found that high intensity training was superior to moderate intensity training with regard to its effect on whole body V̇o2max. Although both high and moderate exercise increased V̇o2max, the exercise-induced metabolic and mechanoenergtic changes in the heart were only observed following high intensity training. We suggest that increased mitochondrial oxidative capacity, increased cardiac efficiency due to decreased unloaded myocardial oxygen consumption, a switch toward a faster cardiac myosin isoform, and the ability to catabolize carbohydrates over fats are cardiac adaptations that will facilitate sustained cardiac output during maximal workloads and thereby enhance aerobic capacity. The metabolic adaptations following HIT also suggest a specific therapeutic potential for cardiovascular conditions with impaired cardiac metabolism and mechanoenergetics.

GRANTS

This work was supported by the Norwegian Research Council , Northern Norway Regional Health Authority (Helse Nord RHF) , the Norwegian Diabetes Association , and the Norwegian Heart Foundation .

DISCLOSURES

No conflicts of interest, financial or otherwise, are declared by the authors.

ACKNOWLEDGMENTS

The expert technical assistance of Knut Steinnes and Elisabeth Boerde is gratefully acknowledged. Dr. Per Magnus Haram and Professor David Severson have been supportive in terms of professional guidance.

REFERENCES

  • 1. Aasum E , Hafstad AD , Severson DL , Larsen TS. Age-dependent changes in metabolism, contractile function, and ischemic sensitivity in hearts from db/db mice. Diabetes 52: 434–441, 2003.
    Crossref | PubMed | ISI | Google Scholar
  • 2. Allard MF. Energy substrate metabolism in cardiac hypertrophy. Curr Hypertens Rep 6: 430–435, 2004.
    Crossref | PubMed | ISI | Google Scholar
  • 3. Andersen CL , Jensen JL , Orntoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res 64: 5245–5250, 2004.
    Crossref | PubMed | ISI | Google Scholar
  • 4. Baar K. Involvement of PPAR gamma co-activator-1, nuclear respiratory factors 1 and 2, and PPAR alpha in the adaptive response to endurance exercise. Proc Nutr Soc 63: 269–273, 2004.
    Crossref | PubMed | ISI | Google Scholar
  • 5. Barbier J , Ville N , Kervio G , Walther G , Carre F. Sports-specific features of athlete's heart and their relation to echocardiographic parameters. Herz 31: 531–543, 2006.
    Crossref | PubMed | ISI | Google Scholar
  • 6. Belke DD , Swanson E , Suarez J , Scott BT , Stenbit AE , Dillmann WH. Increased expression of SERCA in the hearts of transgenic mice results in increased oxidation of glucose. Am J Physiol Heart Circ Physiol 292: H1755–H1763, 2007.
    Link | ISI | Google Scholar
  • 7. Bo H , Jiang N , Ma G , Qu J , Zhang G , Cao D , Wen L , Liu S , Ji LL , Zhang Y. Regulation of mitochondrial uncoupling respiration during exercise in rat heart: role of reactive oxygen species (ROS) and uncoupling protein 2. Free Radic Biol Med 44: 1373–1381, 2008.
    Crossref | ISI | Google Scholar
  • 8. Boardman N , Hafstad AD , Larsen TS , Severson DL , Aasum E. Increased O2 cost of basal metabolism and excitation-contraction coupling in hearts from type 2 diabetic mice. Am J Physiol Heart Circ Physiol 296: H1373–H1379, 2009.
    Link | ISI | Google Scholar
  • 9. Boudina S , Sena S , Theobald H , Sheng X , Wright JJ , Hu XX , Aziz S , Johnson JI , Bugger H , Zaha VG , Abel ED. Mitochondrial energetics in the heart in obesity-related diabetes: direct evidence for increased uncoupled respiration and activation of uncoupling proteins. Diabetes 56: 2457–2466, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 10. Boushel R , Gnaiger E , Schjerling P , Skovbro M , Kraunsoe R , Dela F. Patients with type 2 diabetes have normal mitochondrial function in skeletal muscle. Diabetologia 50: 790–796, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 11. Broderick TL , Poirier P , Gillis M. Exercise training restores abnormal myocardial glucose utilization and cardiac function in diabetes. Diabetes Metab Res Rev 21: 44–50, 2005.
    Crossref | PubMed | ISI | Google Scholar
  • 12. Brooks GA , Mercier J. Balance of carbohydrate and lipid utilization during exercise: the “crossover” concept. J Appl Physiol 76: 2253–2261, 1994.
    Link | ISI | Google Scholar
  • 13. Bugger H , Schwarzer M , Chen D , Schrepper A , Amorim PA , Schoepe M , Nguyen TD , Mohr FW , Khalimonchuk O , Weimer BC , Doenst T. Proteomic remodelling of mitochondrial oxidative pathways in pressure overload-induced heart failure. Cardiovasc Res 85: 376–384, 2010.
    Crossref | PubMed | ISI | Google Scholar
  • 14. Burelle Y , Wambolt RB , Grist M , Parsons HL , Chow JC , Antler C , Bonen A , Keller A , Dunaway GA , Popov KM , Hochachka PW , Allard MF. Regular exercise is associated with a protective metabolic phenotype in the rat heart. Am J Physiol Heart Circ Physiol 287: H1055–H1063, 2004.
    Link | ISI | Google Scholar
  • 15. Doenst T , Pytel G , Schrepper A , Amorim P , Farber G , Shingu Y , Mohr FW , Schwarzer M. Decreased rates of substrate oxidation ex vivo predict the onset of heart failure and contractile dysfunction in rats with pressure overload. Cardiovasc Res 86: 461–470, 2010.
    Crossref | PubMed | ISI | Google Scholar
  • 16. Echtay KS , Roussel D , St-Pierre J , Jekabsons MB , Cadenas S , Stuart JA , Harper JA , Roebuck SJ , Morrison A , Pickering S , Clapham JC , Brand MD. Superoxide activates mitochondrial uncoupling proteins. Nature 415: 96–99, 2002.
    Crossref | PubMed | ISI | Google Scholar
  • 17. Gibala M. Molecular responses to high-intensity interval exercise. Appl Physiol Nutr Metab 34: 428–432, 2009.
    Crossref | PubMed | ISI | Google Scholar
  • 18. Gupta MP. Factors controlling cardiac myosin-isoform shift during hypertrophy and heart failure. J Mol Cell Cardiol 43: 388–403, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 19. Hafstad AD , Khalid AM , Hagve M , Lund T , Larsen TS , Severson DL , Clarke K , Berge RK , Aasum E. Cardiac peroxisome proliferator-activated receptor-alpha activation causes increased fatty acid oxidation, reducing efficiency and post-ischaemic functional loss. Cardiovasc Res 83: 519–526, 2009.
    Crossref | PubMed | ISI | Google Scholar
  • 20. Hafstad AD , Khalid AM , How OJ , Larsen TS , Aasum E. Glucose and insulin improve cardiac efficiency and postischemic functional recovery in perfused hearts from type 2 diabetic (db/db) mice. Am J Physiol Endocrinol Metab 292: E1288–E1294, 2007.
    Link | ISI | Google Scholar
  • 21. Heiss HW , Barmeyer J , Wink K , Hell G , Cerny FJ , Keul J , Reindell H. Studies on the regulation of myocardial blood flow in man. I: Training effects on blood flow and metabolism of the healthy heart at rest and during standardized heavy exercise. Basic Res Cardiol 71: 658–675, 1976.
    Crossref | PubMed | ISI | Google Scholar
  • 22. Helgerud J , Hoydal K , Wang E , Karlsen T , Berg P , Bjerkaas M , Simonsen T , Helgesen C , Hjorth N , Bach R , Hoff J. Aerobic high-intensity intervals improve VO2max more than moderate training. Med Sci Sports Exerc 39: 665–671, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 23. Himms-Hagen J , Harper ME. Physiological role of UCP3 may be export of fatty acids from mitochondria when fatty acid oxidation predominates: an hypothesis. Exp Biol Med (Maywood ) 226: 78–84, 2001.
    Crossref | PubMed | ISI | Google Scholar
  • 24. How OJ , Aasum E , Kunnathu S , Severson DL , Myhre ES , Larsen TS. Influence of substrate supply on cardiac efficiency, as measured by pressure-volume analysis in ex vivo mouse hearts. Am J Physiol Heart Circ Physiol 288: H2979–H2985, 2005.
    Link | ISI | Google Scholar
  • 25. How OJ , Larsen TS , Hafstad AD , Khalid A , Myhre ES , Murray AJ , Boardman NT , Cole M , Clarke K , Severson DL , Aasum E. Rosiglitazone treatment improves cardiac efficiency in hearts from diabetic mice. Arch Physiol Biochem 113: 211–220, 2007.
    Crossref | PubMed | Google Scholar
  • 26. Iemitsu M , Miyauchi T , Maeda S , Sakai S , Fujii N , Miyazaki H , Kakinuma Y , Matsuda M , Yamaguchi I. Cardiac hypertrophy by hypertension and exercise training exhibits different gene expression of enzymes in energy metabolism. Hypertens Res 26: 829–837, 2003.
    Crossref | PubMed | ISI | Google Scholar
  • 27. Kemi OJ , Ceci M , Condorelli G , Smith GL , Wisloff U. Myocardial sarcoplasmic reticulum Ca2+ ATPase function is increased by aerobic interval training. Eur J Cardiovasc Prev Rehabil 15: 145–148, 2008.
    Crossref | PubMed | Google Scholar
  • 28. Kemi OJ , Ellingsen O , Ceci M , Grimaldi S , Smith GL , Condorelli G , Wisloff U. Aerobic interval training enhances cardiomyocyte contractility and Ca2+ cycling by phosphorylation of CaMKII and Thr-17 of phospholamban. J Mol Cell Cardiol 43: 354–361, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 29. Kemi OJ , Ellingsen O , Smith GL , Wisloff U. Exercise-induced changes in calcium handling in left ventricular cardiomyocytes. Front Biosci 13: 356–368, 2008.
    Crossref | PubMed | ISI | Google Scholar
  • 30. Kemi OJ , Haram PM , Loennechen JP , Osnes JB , Skomedal T , Wisloff U , Ellingsen O. Moderate vs high exercise intensity: differential effects on aerobic fitness, cardiomyocyte contractility, and endothelial function. Cardiovasc Res 67: 161–172, 2005.
    Crossref | PubMed | ISI | Google Scholar
  • 31. Kemi OJ , Loennechen JP , Wisloff U , Ellingsen O. Intensity-controlled treadmill running in mice: cardiac and skeletal muscle hypertrophy. J Appl Physiol 93: 1301–1309, 2002.
    Link | ISI | Google Scholar
  • 32. Kemi OJ , Wisloff U. High-intensity aerobic exercise training improves the heart in health and disease. J Cardiopulm Rehabil Prev 30: 2–11, 2010.
    Crossref | ISI | Google Scholar
  • 33. Keteyian SJ , Brawner CA , Savage PD , Ehrman JK , Schairer J , Divine G , Aldred H , Ophaug K , Ades PA. Peak aerobic capacity predicts prognosis in patients with coronary heart disease. Am Heart J 156: 292–300, 2008.
    Crossref | PubMed | ISI | Google Scholar
  • 34. Khalid AM , Hafstad AD , Larsen TS , Severson DL , Boardman NT , Hagve M , Berge RK , Aasum E. Cardioprotective effect of the PPAR ligand tetradecylthioacetic acid in type 2 diabetic mice. Am J Physiol Heart Circ Physiol 300: H2116–H2122, 2011.
    Link | ISI | Google Scholar
  • 35. Kim CH , Cho YS , Chun YS , Park JW , Kim MS. Early expression of myocardial HIF-1alpha in response to mechanical stresses: regulation by stretch-activated channels and the phosphatidylinositol 3-kinase signaling pathway. Circ Res 90: E25–E33, 2002.
    Crossref | PubMed | ISI | Google Scholar
  • 36. Krishnan J , Suter M , Windak R , Krebs T , Felley A , Montessuit C , Tokarska-Schlattner M , Aasum E , Bogdanova A , Perriard E , Perriard JC , Larsen T , Pedrazzini T , Krek W. Activation of a HIF1alpha-PPARgamma axis underlies the integration of glycolytic and lipid anabolic pathways in pathologic cardiac hypertrophy. Cell Metab 9: 512–524, 2009.
    Crossref | ISI | Google Scholar
  • 37. Lopaschuk GD , Ussher JR , Folmes CD , Jaswal JS , Stanley WC. Myocardial fatty acid metabolism in health and disease. Physiol Rev 90: 207–258, 2010.
    Link | ISI | Google Scholar
  • 38. Neubauer S. The failing heart—an engine out of fuel. N Engl J Med 356: 1140–1151, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 39. Perry CG , Lally J , Holloway GP , Heigenhauser GJ , Bonen A , Spriet LL. Repeated transient mRNA bursts precede increases in transcriptional and mitochondrial proteins during training in human skeletal muscle. J Physiol 588: 4795–4810, 2010.
    Crossref | PubMed | ISI | Google Scholar
  • 40. Pluim BM , Zwinderman AH , van der Laarse A , van der Wall EE. The athlete's heart. A meta-analysis of cardiac structure and function. Circulation 101: 336–344, 2000.
    Crossref | PubMed | ISI | Google Scholar
  • 41. Powers SK , Criswell D , Lawler J , Martin D , Lieu FK , Ji LL , Herb RA. Rigorous exercise training increases superoxide dismutase activity in ventricular myocardium. Am J Physiol Heart Circ Physiol 265: H2094–H2098, 1993.
    Link | ISI | Google Scholar
  • 42. Rajabi M , Kassiotis C , Razeghi P , Taegtmeyer H. Return to the fetal gene program protects the stressed heart: a strong hypothesis. Heart Fail Rev 12: 331–343, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 43. Razeghi P , Young ME , Abbasi S , Taegtmeyer H. Hypoxia in vivo decreases peroxisome proliferator-activated receptor alpha-regulated gene expression in rat heart. Biochem Biophys Res Commun 287: 5–10, 2001.
    Crossref | PubMed | ISI | Google Scholar
  • 44. Richey PA , Brown SP. Pathological versus physiological left ventricular hypertrophy: a review. J Sports Sci 16: 129–141, 1998.
    Crossref | PubMed | ISI | Google Scholar
  • 45. Srere PA , Brooks GC. The circular dichroism of glucagon solutions. Arch Biochem Biophys 129: 708–710, 1969.
    Crossref | PubMed | ISI | Google Scholar
  • 46. Starnes JW , Barnes BD , Olsen ME. Exercise training decreases rat heart mitochondria free radical generation but does not prevent Ca2+-induced dysfunction. J Appl Physiol 102: 1793–1798, 2007.
    Link | ISI | Google Scholar
  • 47. Strom CC , Aplin M , Ploug T , Christoffersen TE , Langfort J , Viese M , Galbo H , Haunso S , Sheikh SP. Expression profiling reveals differences in metabolic gene expression between exercise-induced cardiac effects and maladaptive cardiac hypertrophy. FEBS J 272: 2684–2695, 2005.
    Crossref | PubMed | ISI | Google Scholar
  • 48. Suga H. Ventricular energetics. Physiol Rev 70: 247–277, 1990.
    Link | ISI | Google Scholar
  • 49. Takala TO , Nuutila P , Katoh C , Luotolahti M , Bergman J , Maki M , Oikonen V , Ruotsalainen U , Gronroos T , Haaparanta M , Kapanen J , Knuuti J. Myocardial blood flow, oxygen consumption, and fatty acid uptake in endurance athletes during insulin stimulation. Am J Physiol Endocrinol Metab 277: E585–E590, 1999.
    Link | ISI | Google Scholar
  • 50. Wenger HA , Bell GJ. The interactions of intensity, frequency and duration of exercise training in altering cardiorespiratory fitness. Sports Med 3: 346–356, 1986.
    Crossref | ISI | Google Scholar
  • 51. Wisloff U , Loennechen JP , Currie S , Smith GL , Ellingsen O. Aerobic exercise reduces cardiomyocyte hypertrophy and increases contractility, Ca2+ sensitivity and SERCA-2 in rat after myocardial infarction. Cardiovasc Res 54: 162–174, 2002.
    Crossref | PubMed | ISI | Google Scholar
  • 52. Wisloff U , Loennechen JP , Falck G , Beisvag V , Currie S , Smith G , Ellingsen O. Increased contractility and calcium sensitivity in cardiac myocytes isolated from endurance trained rats. Cardiovasc Res 50: 495–508, 2001.
    Crossref | PubMed | ISI | Google Scholar
  • 53. Wisloff U , Stoylen A , Loennechen JP , Bruvold M , Rognmo O , Haram PM , Tjonna AE , Helgerud J , Slordahl SA , Lee SJ , Videm V , Bye A , Smith GL , Najjar SM , Ellingsen O , Skjaerpe T. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation 115: 3086–3094, 2007.
    Crossref | PubMed | ISI | Google Scholar
  • 54. Zhou L , Huang H , McElfresh TA , Prosdocimo DA , Stanley WC. Impact of anaerobic glycolysis and oxidative substrate selection on contractile function and mechanical efficiency during moderate severity ischemia. Am J Physiol Heart Circ Physiol 295: H939–H945, 2008.
    Link | ISI | Google Scholar

AUTHOR NOTES

  • Address for reprint requests and other correspondence: A. D. Hafstad, Cardiovascular Research Group, Institute of Medical Biology, Faculty of Health Sciences, Univ. of Tromsø, N-9037 Tromsø, Norway (e-mail: ).