Abstract
Exercise elicits coordinated multi-organ responses including skeletal muscle, vasculature, heart and lung. In the short term, the output of the heart increases to meet the demand of strenuous exercise. Long term exercise instigates remodeling of the heart including growth and adaptive molecular and cellular re-programming. Signaling pathways such as the insulin-like growth factor 1/PI3K/Akt pathway mediate many of these responses. Exercise-induced, or physiologic, cardiac growth contrasts with growth elicited by pathological stimuli such as hypertension. Comparing the molecular and cellular underpinnings of physiologic and pathologic cardiac growth has unveiled phenotype-specific signaling pathways and transcriptional regulatory programs. Studies suggest that exercise pathways likely antagonize pathological pathways, and exercise training is often recommended for patients with chronic stable heart failure or following myocardial infarction. Herein, we summarize the current understanding of the structural and functional cardiac responses to exercise as well as signaling pathways and downstream effector molecules responsible for these adaptations.
Introduction
The mammalian heart is a pump, supplying blood and a constant supply of oxygen and nutrients to itself and peripheral organs (Olver et al., 2015). This workload can account for 20% of total oxygen consumption and is supported by a complex cellular metabolic and contractile system of the heart to sustain maximal pump efficiency. This is especially true during intense bouts of exercise where oxygen consumption by the heart may increase up to 10-fold (Olver et al., 2015). In a remarkable display of metabolic flexibility, cardiac myocytes can match this increased demand illustrating an extraordinary energy potential and reserve capacity (Poole et al., 2012). Often referred to as the “athlete's heart,” the heart remodels in response to chronic exercise to match the increased workload by increasing in size in the absence of cardiac myocyte proliferation. This physiologic growth is accompanied by increases in energy production capacity, primarily mitochondrial. This hypertrophic growth of the heart is characterized by normal contractile function at rest. This is in contrast to pathologic growth that results from prolonged hypertension or ischemic heart disease, where cardiac contractile function as well as energy metabolic production declines (Doenst et al., 2013; Ingwall, 2008, 2009; Maillet et al., 2013; Scheuer and Buttrick, 1987). Historically, investigators have quantified the extent of cardiac growth by measuring how much the heart wall thickens (Fulton and Rajiah, 2017). However, wall thickening can occur with either an increase, decrease or no change in ventricular volume. To account for the proportionality between wall thickness and ventricular volume, cardiac growth is also characterized as either concentric or eccentric, reflecting the precise morphological and geometrical features of the enlarged heart (Figure 1) (Blomqvist and Saltin, 1983; Scheuer and Tipton, 1977). Both physiologic and pathologic growth show changes in heart wall thickness and volume, yet pathologic growth often progresses to severe cardiac remodeling and heart failure, whereas physiologic growth does not.
In addition to direct effects on the heart, it is well-established that regular exercise results in improved quality of life and increased lifespan (Arem et al., 2015; Moore et al., 2012). Furthermore, exercise and particularly aerobic exercise, is a central component of cardiac rehabilitation and reduces cardiovascular morbidity and mortality in patients with heart disease (Gasiorowski and Dutkiewicz, 2013; Gayda et al., 2016; Guyatt and Devereaux, 2004; Ribeiro et al., 2016; Sharma et al., 2001). While the benefits of regular physical activity are clearly multifactorial reflecting the integrated responses of many organ systems, the specific cellular and molecular mechanisms of how exercise attenuates and often reverses much of the metabolic and contractile derangements in the diseased heart remain ill-defined (Hirai et al., 2015; Poole et al., 2012).
At the cellular and molecular level, it is clear that activation of upstream signaling pathways and resultant transcriptional responses are distinct between physiologic and pathologic cardiac growth (O'Neill and Abel, 2005). In this review, we focus on the morphologic, cellular, metabolic, and molecular adaptations of the heart to chronic exercise. For the first part of this discussion, we take a “systems” approach to define adaptions of the heart to exercise with consideration of an intact cardiovascular (CV) system (cardiac, neural, and vascular systems). We will demonstrate that the heart has an innate ability to identify and distinguish between the types of hemodynamic stress/exercise (dynamic vs static) but also whether and how the heart senses physiologic versus pathologic signals. We describe the morphological characteristics of cardiac growth and the implications for cardiac disease progression. Finally, we will incorporate a description of how the response to exercise compares among human subjects and laboratory animals and males and females.
In the second part of this review, we outline the molecular and cellular events that result in physiologic cardiac adaptation. Many of the molecular mechanisms that mediate the heart's response to exercise have been identified. For instance, the insulin-like growth factor 1 (IGF-1) and downstream signaling pathway represents one of the critical mediators of physiologic growth. In addition, considerable evidence from mouse genetic models demonstrates that activation of physiologic growth directly antagonizes pathologic growth. Finally, we examine how delineation of the mechanisms and molecular events involved in the response of the heart to exercise may unveil new therapeutic approaches for heart failure.
Cardiovascular system response to exercise
The CV system displays remarkable adaptability during acute and long-term bouts of physical exertion. Central to this adaptability is the coordinated integration of systemic, cellular and molecular signaling pathways within the CV system to meet the body's needs. For example, during acute bouts of exercise, the heart can increase its pumping capacity by 4-8 times as measured by the amount of blood pumped per unit time (cardiac output). This increase in cardiac function is driven mainly by a 3-4 fold increase in heart rate (60 bpm to 200 bpm) with a small contribution (2-fold) from the strength of contraction or contractility (Evans, 1985; Hellsten and Nyberg, 2015; Xiang and Hester, 2011). Changes in cellular signaling as a result of sympathetic but not parasympathetic activation underlie this increase in heart rate and contractility to acutely impact cardiac output. Because the CV system is a closed network, the immense increase in blood flow raises blood pressure, which serves to maintain adequate flow and nutrient delivery to both exercising and non-exercising tissues. Despite an early increase in vascular resistance, exercising skeletal muscles can increase its blood flow through the release of local factors causing blood vessels to dilate, shunting oxygen-rich blood to metabolically active tissues (primarily working skeletal muscle). In the short term, these local cues initiate cellular signaling pathways in the vascular system that can redistribute blood flow to working muscle up to 10 fold, illustrating the power of these local regulatory control mechanisms. Accordingly, sustained exercise ultimately leads to a global reduction in vascular resistance (Fagard, 2003; Lauschke and Maisch, 2009).
The response of the heart to acute exercise demonstrates the extraordinary reserve capacity of the CV system. Because the end-goal of these hemodynamic adaptations is to meet the prevailing needs of increased oxygen and metabolic demand, sustained or long-term exercise training (endurance or strength) induces physiologic and morphological adaptive changes in the CV system and heart. Typically, athletic conditioning can be categorized as either endurance/dynamic training or power/strength training (Fagard, 2003; Fagard, 1996; Pluim et al., 2000). This categorization is largely based on the type of load imposed on the heart; dynamic sports such as running require a sustained elevation in cardiac function (volume overload) whereas static sports such as power lifting produce brief instances of elevated pressure loads (pressure overload). On the other hand, activities such as cycling and rowing continuously invoke both dynamic and static conditioning throughout the exercise period. In general, many training programs will often incorporate elements of both dynamic and static activities, and, as a result, instigate a mixed-type load on the CV system.
Depending on the type of exercise, the CV system will accommodate the physiologic need and adapt based on the dominant type of hemodynamic load. Therefore, categorizing exercise “type” can also be based on the resultant physiologic and morphological changes in the heart and CV system. In general, long term changes that occur with endurance exercise training are enhanced aerobic capacity in skeletal muscle and reduced resting cardiac output, which is paralleled by slower heart rate and increased strength of contraction. Strength training, on the other hand, may not induce a change in basal cardiac function even though blood pressure and heart rate can increase dramatically during training maneuvers (MacDougall et al., 1985; Pluim et al., 2000). In addition, because strength training results in skeletal muscle growth, the overall perfusion to the skeletal muscles is higher due to the augmentation of skeletal cross-sectional area. The suggestion is that the heart and CV system have the innate ability to distinguish between exercise types presumably due to differences in hemodynamic load.
Both types of exercise result in cardiac growth. The cardiac myocyte is terminally differentiated and increases in size following exercise. Therefore, it is generally accepted that the growth of the heart due to exercise is from the collective increase in cardiac myocyte cell size and not from an increase in cardiac cell number. Along with an increase in cardiac mass, the heart undergoes changes in cardiac morphology that are dependent on the type of exercise training (Blomqvist and Saltin, 1983; Dickhuth et al., 1994; Fagard, 2003; Scheuer and Tipton, 1977; Teske et al., 2010). Physiologic cardiac growth, or more appropriately, adaptive remodeling (to signify the non-pathologic nature of this type of cardiac growth) can also be categorized as either concentric or eccentric (Figure 1) (Fagard, 1996; Lauschke and Maisch, 2009; Pluim et al., 2000). Designation of cardiac growth in this way depends on the geometric relationship between ventricular chamber size and ventricular wall thickness, or relative wall thickness (RWT). Typically, eccentric remodeling describes an increase in cardiac mass where RWT is maintained implicating a coordinated increase in chamber size and wall thickness. Alternatively, concentric remodeling is characterized by an increase in cardiac mass accompanied by a disproportionate increase in wall thickness relative to chamber size. Although both types of cardiac growth normalize (eccentric) or reduce (concentric) ventricular wall stress, concentric cardiac growth is correlated with worse clinical outcomes when coupled to cardiac disease (see below).
As mentioned above, athletic conditioning may be dynamic (running) or static (strength training), which in turn dictates the type of hemodynamic load imposed unto the heart. Although heart rate is the predominant determinant of cardiac function, dynamic conditioning increases venous return to the heart leading to increase contractility via the so-called Starling effect, enhancing the amount of blood ejected by the heart. This type of chronic “volume overload” induces eccentric remodeling. On the other hand, strength training imposes a sudden elevation in pressure inducing a brief, but dramatic increase in blood pressure, which in turn increases the impedance against which the heart must pump. For example, peak pressures of 480/350 and 320/250 mmHg have been recorded in subjects performing strength training (MacDougall et al., 1985). This profound increase in blood pressure, though intermittent and brief, provokes concentric remodeling of the heart (Blomqvist and Saltin, 1983; Devereux and Reichek, 1977; Fagard, 2003; Lauschke and Maisch, 2009). Again, these designations cannot be universally applied because athletic training is rarely purely dynamic or static. For example, exercise training programs which evoke elements of both dynamic and static stimuli lead to a mixed-type of hypertrophic remodeling (Fagard, 2003).
Dynamic (intermittent) changes in cardiac structure and geometry in response to exercise training is distinct from that due to chronic hemodynamic stress such as hypertension. Regardless of the type of hypertrophic response, exercise-induced remodeling is generally considered adaptive in that progression to heart failure does not occur. For example, physiologic (exercise) cardiac growth is fundamentally distinct from pathologic (hypertension) cardiac growth in that the former results in preserved or enhanced cardiac function and adaptive geometry. Hypertrophic hearts resulting from cardiac disease steadily decline in function over time progressing from concentric growth (elevated RWT) to a dilated state (decreased RWT) (Fagard, 1996; Frey et al., 2004). Moreover, physiologic growth may be limited in magnitude compared to pathologic growth. Perhaps the most critical feature of physiologic growth is its reversibility; growth due to exercise is fully reversible without apparent adverse consequences (Maillet et al., 2013; Shiojima et al., 2005). Although anti-hypertensive therapy may reverse cardiac growth, it is unclear whether this regression is without lasting effect, given that underlying cellular responses such as fibrosis may not resolve (Fagard et al., 2009). It should also be noted that other types of physiologic growth include cardiac growth due to pregnancy or normal postnatal growth and development.
Animal models of physiologic growth
While it is clear that physiologic cardiac growth is fundamentally distinct from pathologic cardiac growth, a major line of research has focused on the question of whether cardiac remodeling following exercise training can evolve into a pathologic form (Lauschke and Maisch, 2009; Maron, 2009; Pelliccia et al., 2012). This issue is especially relevant in the case of hypertrophic cardiomyopathy (HCM), an inherited disorder with a 0.2-0.5% prevalence in the general population. In many instances, the hypertrophic phenotype due to exercise overlaps with HCM, or differences may be subtle that cannot be distinguished by measures of cardiac geometry. Specifically, in most instances, HCM does not evolve into a dilated dysfunctional heart. However, HCM patients are at significant risk for sudden death. Indeed, published reports indicate that 35-50% of sudden cardiac deaths in young athletes is attributable to HCM. Recognizing the critical need to demarcate clear differences between training-induced and diseased-induced cardiac growth, animal models of exercise have been employed to study cardiac remodeling and adaption to exercise. As discussed below, the results of these studies have identified distinct molecular and metabolic signatures that distinguish physiologic from pathologic forms of cardiac growth.
Animal models, especially rodents, hold many practical advantages including short gestation periods, large litters, compressed lifespans, identical genetic backgrounds if studying a single wild type strain, and inexpensive housing. However, other animal species have been used such as horses, rabbits, dogs and swine (DiCarlo and Bishop, 1988; Evans and Rose, 1988; Laughlin et al., 1991; Stepien et al., 1998; White et al., 1987). Currently, however, the genetically modified mouse model is the cornerstone for interrogating cellular and molecular pathways underlying cardiac biology. Apart from important strain differences, rodents undergo physiologic adaptations to exercise with the type and extent of adaptation dependent on the exercise type. Three types of rodent exercise training protocols dominate the literature: (1) treadmill running, (2) voluntary wheel running and (3) swim training. The majority of investigations have used a motorized treadmill, subjecting rodents to treadmill protocols that vary in intensity, incline and duration (Kasper, 2013; Perrino et al., 2011; Wang et al., 2010). These early, foundational studies in treadmill-induced adaptation employed endurance running protocols, where treadmill speed, duration or incline was progressively increased or remained fixed. The detail of such protocols has been comprehensively outlined in other reviews (Perrino et al., 2011; Wang et al., 2010). In most instances, rats and mice demonstrate a predictable physiologic adaptation to an endurance exercise regimen that recapitulates human physiology, regardless of the training protocol. Similar to human counterparts, rats and mice also undergo exercise-induced cardiac growth ranging from a 5-24% increase in cardiac mass (Diffee and Nagle, 2003; Fenning et al., 2003; Kemi et al., 2002; Moore et al., 1993). Existing data suggest that a training period of at least 3-4 weeks is necessary to elicit a significant increase in cardiac mass, again mimicking the requirement for minimum conditioning period in humans to induce physiologic cardiac growth.
An alternative treadmill training protocol uses intervals of high-intensity with low-intensity treadmill at varying inclines (Haram et al., 2009). Studies using this type of high-intensity interval training report a more robust cardiac hypertrophic response than continuous protocols with increases in cardiac mass up to 30% (Haram et al., 2009; Kemi et al., 2005; Kemi et al., 2002). This approach may also prove relevant to humans given that in the clinical literature, there is an emerging interest in high-intensity interval training over that of standard exercise protocols, which incorporates a longer training period (20-60 minutes) at lower exercise intensities for patients with cardiovascular disease (Gayda et al., 2016; Pattyn et al., 2014; Ribeiro et al., 2016). Again, a more detailed description of specific interval training protocols is documented elsewhere (Cardozo et al., 2015; Perrino et al., 2011; Wang et al., 2010). Although this is an ongoing area of research, patients undergoing high-intensity interval training show greater or equivalent benefits as compared with established cardiac rehabilitation programs for most of the parameters, with overall lower exercise times (Ribeiro et al., 2016). Many factors contribute to these improved benefits such as the starting fitness level of the patient. A major confounder, however, is that patients may simply prefer this type of interval training and exhibit improved adherence to the exercise prescription confounding interpretation of comparative studies. Accordingly, pre-clinical studies may provide valuable insight into the distinct cellular and molecular responses to these different protocols.
Swim training is another well-established aerobic exercise modality to study the physiologic response of the heart to exercise (Scheinowitz et al., 2003; Tatsuguchi et al., 2004) and for the assessment of the potential protective impact on cardiac disease (McMullen et al., 2007; McMullen et al., 2003). For these studies, mice or rats are placed in a swim tank for a given duration. The fundamental difference between swim and treadmill exercise is how exercise intensity is modified; swim training protocols vary intensity by progressively adding weight “carried” by the animal (Almeida et al., 2009). When comparing cardiac growth from swim or treadmill exercise training, swim training induces an impressive 30-50% increase in cardiac mass (Almeida et al., 2009; McMullen et al., 2007; McMullen et al., 2003), which is, on average, more than that from treadmill exercise.
Considering the forced nature of swim and treadmill exercise protocols, there is concern that the type of cardiac growth may not be purely physiologic given the stress involved. Although mice are typically acclimated to the exercise environment, it can be argued that swim or treadmill conditioning deviate from naturally-occurring rodent activities and initiate, at least in part, a stress-induced cardiac growth. Interestingly, the mouse heart is able to recognize an intermittent, pathological overload meant to mimic the intermittent nature of an exercise load as distinctly pathological (Perrino et al., 2006). For this reason, we and others have employed a voluntary exercise paradigm, where rodents have free, unobstructed access to a cage wheel (Allen et al., 2001; Eldomiaty et al., 2016; Konhilas et al., 2015; Konhilas et al., 2004; McMullan et al., 2016). There is ample evidence that voluntary wheel running is a complex behavior resulting from natural rodent tendencies and laboratory environment (Konhilas et al., 2015; Meijer and Robbers, 2014; Richter et al., 2014). Activity from cage wheel exercise generally improves depressive-like behaviors (Eldomiaty et al., 2016), although this is challenged by studies suggesting an anxiolytic or addictive-like component to wheel running (Duman et al., 2008; Fuss et al., 2010; Richter et al., 2014). Apart from the impact on neural or behavioral function, cage wheel running provides sufficient aerobic training to induce physiologic cardiac growth in both rats and mice (Allen et al., 2001; Konhilas et al., 2004; Natali et al., 2001). Similar to humans and forced training, a minimum of 3-4 weeks of training is required to instigate a 5-20% increase in cardiac mass depending on strain, sex, diet, age or any combination of these variables (Allen et al., 2001; Konhilas et al., 2015; Konhilas et al., 2004; Lerman et al., 2002; McMullan et al., 2016). Interestingly, long-term or loaded cage wheel exercise does not increase the amount of cardiac growth (Konhilas et al., 2006; Konhilas et al., 2005; Natali et al., 2001).
Regardless of exercise type, the pre-clinical exercise training models have been invaluable for determining putative cellular and molecular mechanism underlying cardiac adaptation as will be described below. Still, there are important limitations when attempting to translate rodent models of exercise to humans. Apart from the obvious size differences, the complex hemodynamic response with regards to heart rate, vascular and sympathetic/parasympathetic systems to increased workload is unique to each species. Consequently, the type of cardiac remodeling cannot be identical in rodents when compared to humans. In addition, just as human genotype influences exercise performance, the exercise response in rodents has a significant genetic component, varying across inbred mouse strains. Therefore, choice of model or strain may confound or bias results towards the particular model. Despite the limitations, including some specific for transgenic mice(Davis et al., 2012), this work has clearly facilitated our understanding of the cardiac exercise response.
Sex dimorphisms in cardiac adaptation to exercise
A major limitation of many published human exercise studies is that males and females are typically grouped, or only one sex is studied, when comparing trained and untrained subjects. Whether examining humans or rodents, the anatomical arrangement of the heart and peripheral cardiovascular system is identical between males and females. However, the size of the female heart is smaller than age- and race-matched men (Vasan et al., 1997). Moreover, the exercise response is likely influenced by sex-specific hormonal and metabolic factors. Looking at a human study population comparing men and women (average age of 57 years) free of clinically overt cardiovascular disease, all volumetric parameters measured by magnetic resonance imaging (MRI) were higher in males, even when adjusted for subject height, weight or body surface area (Cain et al., 2009; Salton et al., 2002). In these same studies, no differences in LV functional parameters were evident although these data are not always consistent (Cain et al., 2009; Huxley, 2007; Salton et al., 2002). In a large-scale prospective study of female athletes, investigators reported that LV thickness and cavity dimensions rarely exceed the upper, clinical limit (Pelliccia et al., 1996). Subsequently, many reports have emerged showing that females do indeed undergo exercise-induced growth, especially when adjusted for body mass (George et al., 1999; George et al., 1995; Maron, 2009). A recent echocardiographic analysis of over 1,000 elite athletes stratified male and female athletes by type of exercise (Finocchiaro et al., 2016). In this comprehensive assessment of cardiac adaptation, the study demonstrated increased chamber dimensions in female athletes compared to male counterparts, only when adjusted for body surface area. The suggestion is that a greater percentage of female athletes undergoing dynamic training exhibit eccentric cardiac growth compared to male athletes. Further, female athletes rarely demonstrate concentric cardiac growth (Finocchiaro et al., 2016).
Animal models of exercise training also exhibit sex-dependent patterns in cardiac adaptation/growth. In both rats and mice, the proportionate increase in cardiac mass following treadmill exercise is greater in females than males (Kemi et al., 2002; Wisloff et al., 2001b). Compared to males, swim-trained female rats exhibit a greater increase in absolute heart mass (Mole, 1978). Our group found that female mice exposed to a voluntary cage wheel exhibit approximately 3-fold greater percent increase in heart mass than their male counterparts. Because females spent more time running on the cage wheel, we normalized the extent of growth to distance run; females still demonstrate a great hypertrophic response even when the extent of growth is adjusted for activity (Konhilas et al., 2004). A similar sex difference was observed with treadmill exercise in mice, where females demonstrated more robust cardiac growth than male counterparts (Foryst-Ludwig et al., 2011). Our subsequent work provided evidence that the sex dimorphism in cardiac adaptation to exercise is dependent on many factors. For example, simply switching from a traditional soy-based diet to a calorically similar casein-based diet eliminated the sex difference such that males responded to cage wheel running similarly to females eating either diet (Konhilas et al., 2015). Taken together, the results of numerous studies indicate that exercise training in rodents (and humans) is a complex behavior and that cardiac adaptation is impacted by many factors including sex and diet.
Cellular adaptions to exercise
As noted above, the presence of hypertrophic remodeling in athletes presents a unique problem considering the significant rate of sudden cardiac death, particularly in young athletes (Maron, 2009). The diagnosis is made even more problematic because, whether induced by exercise or by an inherited mutation, cardiac growth may be modest or not evident (Tardiff, 2011). Adding to the complexity, cardiac growth/remodeling from disease is a progressive process making prognostic predictions difficult without prior knowledge of pre-disease cardiac architecture. Therefore, delineation of the cellular manifestations of exercise-induced cardiac remodeling will not only help delineate mechanisms involved in the adaptive responses, but could provide predictive tools relevant to the more precise diagnosis of a clinical hypertrophic phenotype. However, to date, only a few cellular features distinguishing physiologic from pathologic cardiac growth have been defined, the most robust of which is interstitial fibrosis.
During early postnatal development, cardiac myocytes lose their ability to proliferate and become terminally differentiated. As a consequence, enlargement of the heart during development and in response to exercise or pathologic conditions is caused by an increase in cardiac myocyte size. It has been suggested that changes in myocyte width, length or both depends on the specific type of cardiac growth (concentric vs eccentric), and whether cardiac growth is induced by physiologic (exercise) or pathologic (cardiac disease) stimuli (Maillet et al., 2013; Wisloff et al., 2001a). However, a direct correlation is not always consistent (Gerdes et al., 1992; Gerdes et al., 1996; Wisloff et al., 2002). Independent of the specific changes in myocyte morphology, cardiac growth fundamentally normalizes wall stress regardless of the physiologic or pathologic origin of the hemodynamic load. As a result, cardiac function is dependent on the 3-dimensional geometry and solely dictated by myocyte function. Incidentally, male and female hearts begin with an equivalent number of cardiac myocytes and, therefore, the difference in cardiac size, although proportional to body mass, is due to larger myocyte size in males compared to females (de Simone, 1995; Luczak and Leinwand, 2009; Olivetti et al., 1995). As discussed previously, cardiac growth can be designated as either concentric or eccentric based on RWT, a measure of ventricular geometry. The pathological nature of this assignment depends on the extent and origin of cardiac growth. However, pathologic growth is accompanied by several histological features that are distinct from physiologic growth. Pathologic growth may be accompanied by an accumulation of interstitial and perivascular fibrosis. In addition, pathologic cardiac growth may manifest non-uniform myocyte alignment, termed myocyte disarray (Maron et al., 1986; Varnava et al., 2001). Myocyte disarray is particularly prominent in HCM and other inherited forms of cardiomyopathy. In contrast, fibrosis and myocyte disarray has not been observed following chronic exercise in rats or mice of either sex (Burgess et al., 1996; Konhilas et al., 2006; Perez et al., 2013; Thomas et al., 2000) and, presumably, human athletes. Although collagen accumulation is absent in exercising rodents, previous studies have shown that treadmill exercise training increases collagen turnover and alters collagen cross-linking and sub-type in the aging rat (Takala et al., 1991; Thomas et al., 1992; Thomas et al., 2000). It has also been shown that specific patterns in collagen cross-linking can markedly influence ventricular diastolic (relaxation) properties (Todaka et al., 1997).
Molecular and metabolic responses in exercise-induced adaptive cardiac growth: Gene regulatory mechanisms
Numerous studies have documented cardiac transcriptomic changes following exercise training (Budiono et al., 2012; Chung et al., 2012; Iemitsu et al., 2005; Solskov et al., 2012; Strom et al., 2005). The results of these studies indicate that re-progamming of cardiac structure and function during cardiac growth, whether due to exercise or pathologic stimuli, involves a cascade of gene regulatory mechanisms. Comparison of the transcriptome of pathologic forms of cardiac growth with that of physiologic growth has proven informative. By and large, the transcriptional signatures of physiologic cardiac growth are distinct from pathologic hypertrophic response (Strom et al., 2005). Pathologic growth is characterized by activation of the so-called “fetal gene” program including induction of natriuretic peptides and fetal sarcomeric isoform genes (Figure 2). This pattern is largely not observed in exercise transcriptomes (Strom et al., 2005). Early studies in mice demonstrated that swimming exercise and aortic banding (a pathologic hypertrophic stimulus) displayed distinct gene expression pattern changes (McMullen et al., 2003). In contrast to robust changes in atrial or brain natriuretic peptide (ANP, BNP) seen with banding, no change was observed with swimming. Similarly, the fetal β-myosin heavy chain was markedly upregulated by aortic constriction but not by swimming (McMullen et al., 2003). Metabolic gene expression patterns are also distinct in pathologic versus physiologic cardiac growth (Figure 2). Expression of genes involved in fuel metabolism and bioenergetics undergo a well-characterized re-programming during pathologic cardiac hypertrophic growth, and in the failing heart. This metabolic gene regulatory re-programming is also reminiscent of a “fetal” shift in that the capacity for burning the main fuel, fatty acids, is reduced and the expression of nuclear and mitochondrial genes involved in many mitochondrial energy transduction and respiratory pathways are downregulated (Aubert et al., 2013). Conversely, genes involved in some glucose utilization pathways are upregulated. Significant genetic and experimental evidence suggests that this energy metabolic re-programming may contribute to the development of heart failure. The alterations in fuel metabolic genes are of particular interest. Whereas the expression of genes involved in mitochondrial fatty acid oxidation (FAO), the chief source of ATP in the normal adult heart, are downregulated in disease (Aubert et al., 2013), this program remains unaltered in response to exercise (Beisvag et al., 2009). In addition, expression of cardiac genes encoding several fatty acid transporters, fatty acid binding proteins, and related lipid metabolic pathways are increased in response to exercise training but not in pathologic cardiac growth or heart failure (Riehle et al., 2014; Strom et al., 2005). These gene regulatory re-programming events are also reflected in fuel oxidation rates. Specifically, palmitate oxidation rates, as a measure of FAO, are increased in isolated working heart preparations from exercise-trained rats (Burelle et al., 2004). Conversely, FAO rates are reduced in pathologic cardiac growth and heart failure (Vega et al., 2015). A mitochondrial biogenic response is also observed in the heart following exercise training in contrast to the reduction of oxidative capacity in the diseased heart. Components of the electron transport chain, mtDNA, and citrate synthase activity are all increased in mouse hearts with swimming (Riehle et al., 2014). Consistent with the changes in expression of fatty acid utilization genes, mitochondrial respiration in isolated cardiac strips from trained mice is also increased when palmitoylcarnitine is used as a substrate (O'Neill et al., 2007).
Quantitative assessment of metabolites representative of major energy metabolic pathways (targeted metabolomics) provides additional correlates to the cardiac metabolic gene expression changes that occur in response to exercise versus pathologic stimuli. Just as transcriptomics can provide a signature representative of alterations in gene expression, metabolomics provides a signature reflective of the changes in energy metabolism by measuring metabolite intermediate pools. Several studies have reported cardiac metabolomic measurements in experimental and clinical heart failure samples (Bedi et al., 2016; Lai et al., 2014; Sansbury et al., 2014). These studies have consistently shown changes in acylcarnitine levels reflective of alterations in mitochondrial FAO rates. Interestingly, direct comparison of pre-clinical models of heart failure and exercise reveals striking differences. Levels of acylcarnitines were increased in the early stages of a pressure-overload cardiac growth/myocardial infarct model in mice while voluntary wheel running mice displayed lower acylcarnitine abundance (Lai et al., 2014). A similar pattern was also observed with TCA cycle intermediates. Collectively, combined with gene expression changes discussed above, these results have unveiled robust differences in metabolic re-programming in pathologic versus exercise-trained physiologic cardiac growth. The maintenance of high capacity for FAO and, thus, ATP production, is consistent with an adaptive response to the increased workload. In contrast, pathologic cardiac growth results in a marked shift towards the lower capacity fetal program, likely a maladaptive energetic response.
What factors mediate the cardiac gene regulatory responses to exercise? Some lessons have been learned from the delineation of the transcriptional regulatory circuitry involved in mitochondrial biogenesis in heart and the effects of exercise on skeletal muscle gene expression. The peroxisome proliferator activated receptor γ coactivator-1a (PGC-1a) is a transcriptional coactivator originally identified as a cold-inducible factor involved in mitochondrial biogenesis in the brown adipocyte (Puigserver et al., 1998). In skeletal muscle, expression of PGC-1a is dramatically induced by an acute bout of exercise (Pilegaard et al., 2003). PGC-1a has been shown to mediate the mitochondrial adaptations in muscle in response to exercise. Targeted disruption of PGC-1a and the related PGC-1b in skeletal muscle markedly alters mitochondrial function and diminishes exercise performance (Wende et al., 2007; Zechner et al., 2010). PGC-1a is also activated by exercise in the heart (O'Neill et al., 2007; Riehle et al., 2014). Some evidence suggests that PGC-1a mediates the mitochondrial biogenic response and changes in fuel and energy metabolism in heart following exercise. Specifically, mouse models with altered exercise-induced activation of PGC-1a expression exhibit a defect in the induction of mtDNA content and palmitate oxidation in heart (Riehle et al., 2014). However, additional studies are needed in heart-specific PGC-1 deficient mice to confirm the role of PGC-1 as being necessary for the mitochondrial and energy metabolic adaptations observed with exercise.
The pleiotropic actions of cardiac PGC-1α are mediated through direct interaction and activation of a downstream cascade of transcription factors including nuclear receptors (Figure 3) (Vega et al., 2015). For instance, PGC-1α binds and co-activates the peroxisome proliferator activated receptor a (PPARα) to regulate fatty acid import, storage and oxidation in the heart (Djouadi et al., 1999; Finck et al., 2002; Gilde et al., 2003). Importantly, PPARα and PGC-1a signaling is inhibited in pathologic growth and heart failure (Aubert et al., 2013), consistent with the downstream fuel and energy metabolic changes described above. PGC-1a also promotes a broader mitochondrial biogenic response through its interaction with the estrogen-related receptor (ERR) and nuclear receptor factor 1 (NRF-1) (Scarpulla et al., 2012). In the cardiac myocyte, ERR directly activates expression of genes involved in virtually all aspects of mitochondrial energy metabolism including the TCA cycle, electron transport and oxidative phosphorylation, in addition to FAO enzymes (Dufour et al., 2007). ERRα, the major isoform in the heart, is also required for maximal ATP synthesis and adaptation to pressure overload (Huss et al., 2007). Notably however, despite being a logical candidate, the precise role for ERR in cardiac adaptation to exercise has not been determined.
Unbiased profiling studies have identified several other transcriptional regulators, in addition to PGC-1a, to be involved in the response of the heart to exercise. One of these is CCAAT-enhancer binding protein β (C/EBPβ). C/EBPβ was found to be downregulated in the heart following a chronic swimming protocol (Bostrom et al., 2010). Interestingly, knockdown of C/EBPβ resulted in cardiac myocyte growth and activation of genes similar to what is observed with exercise, including PGC-1a (Bostrom et al., 2010). These effects are due, at least in part, to increased levels of the CBP/p300–interacting transactivator with ED-rich carboxy-terminal domain-4 (CITED4). CITED4 promoted a cellular proliferation response to exercise in the heart (Bostrom et al., 2010). Overexpression of CITED4 in the heart resulted in growth with preserved function in the absence of activation of the fetal gene program (Bezzerides et al., 2016). CITED4 also protected the heart against ischemia/reperfusion injury (Bezzerides et al., 2016). At this point, the precise targets of CITED4 in mediating this response are not known. Acute exercise also induces expression of the nuclear factor-erythroid 2 p45-related factor 2 (NFE2L2 or Nrf2) (Muthusamy et al., 2012). Nrf2 activates antioxidant gene expression and provides protection against oxidative stress. Moderate exercise in older mice also activates the Nrf2-antioxidant pathway(Gounder et al., 2012).
Non-coding RNAs have also been implicated in the molecular regulatory circuitry that contributes to the response of the heart to exercise. A large number of miRNAs have now been shown to be critical regulators of cardiac health and disease (van Rooij and Olson, 2012). Not surprisingly, numerous miRNAs are regulated in the heart with exercise (Fernandes et al., 2015; Liu et al., 2015). To date, these miRNAs have been shown to regulate genes involved in cardiac structure and function on multiple levels. For instance, a miRNA expressed in cardiac fibroblasts, miR-29, was shown to repress expression of genes involved in the fibrotic response and is activated by exercise in the heart (Soci et al., 2011; van Rooij et al., 2008). Profiling of exercise models also identified miR-222 as a critical mediator of physiologic growth (Liu et al., 2015). miR-222 promoted a physiologic growth phenotype in cardiac myocytes in vitro with increased α-MHC/β-MHC ratio and inhibited fetal gene markers such as ANF and BNP. And consistent with a recurrent theme, miR-222 was necessary for physiologic growth growth in vivo and was cardioprotective following ischemic injury (Liu et al., 2015).
Cellular signaling pathways involved in the cardiac exercise response
A key question in understanding the molecular adaptions to exercise in the heart is the identification of the cellular signaling pathways responsible for transmitting the physiologic stimuli to downstream transcriptional and other regulatory mechanisms. The use of genetic mouse models has identified key cellular receptor and downstream signaling pathway mediators of the cardiac response to exercise and physiologic growth (summarized in Table 1). Arguably, the key central signaling pathway in this regard is the phosphoinositide 3-kinase (PI3K)/Akt pathway (Table 1 and Figure 3). A significant finding was the identification of PI3K(p110a) as a critical mediator of physiologic but not pathologic hypertrophic growth (McMullen et al., 2003). Notably, signaling through PI3K(p110a) was shown to be necessary for hypertrophic growth by exercise training but not pressure overload resultant from aortic banding in mice (McMullen et al., 2003). Activation of PI3K(p110a), either by exercise or genetically, was also cardioprotective and directly antagonized pathologic cardiac growth (McMullen et al., 2007; Weeks et al., 2012). Akt serves as an effector kinase downstream of PI3K signaling and is critical for the physiologic growth program. Akt1-deficient mice displayed impaired cardiac growth in response to swimming exercise (DeBosch et al., 2006). Interestingly, Akt1-/- mice also exhibited an exaggerated hypertrophic response to aortic banding further demonstrating the antagonism between physiologic and pathologic growth programs (DeBosch et al., 2006). The PI3K/Akt pathway is primarily responsible for transmitting signals from growth factors, namely insulin and insulin-like growth factor 1 (IGF-1). Interestingly, cardiac IGF-1 expression and levels are associated with physiologic growth in athletes (Serneri et al., 1999). The IGF-1 receptor (IGF-1R) has also been shown to be both necessary and sufficient to induce physiologic growth in mice (Kim et al., 2008; McMullen et al., 2004).
Table 1. Mouse models of physiologic and pathologic growth.
Model | Physiologic | Pathologic | Reference |
---|---|---|---|
C/EBPβ+/- | Promotes physiologic growth and markers of proliferation | Inhibits pathologic remodeling following pressure overload | Boström et al., 2010 |
CITED4 cardiac Tg | Promotes physiologic growth | Protects against l/R injury | Bezzerides et al., 2016 |
miR-222 knockdown | Necessary for physiologic growth | n.d. | Liu et al., 2015 |
miR-222 cardiac Tg | No change in cardiac size | Inhibits pathologic remodeling following l/R injury | Liu et al., 2015 |
caPI3K(p110α) | Promotes physiologic growth | Inhibits pathologic remodeling following pressure overload | McMullen et al., 2007, 2004 |
dnPI3K(p110α) | Prevents physiologic growth to swimming | Exaggerated pathologic remodeling following pressure overload | McMullen et al., 2003 |
Aktl-/- | Prevents physiologic growth to swimming | Exaggerated pathologic remodeling following pressure overload | DeBosch et al., 2006 |
IGF1R cardiac Tg | Promotes physiologic growth | n.d. | McMullen et al., 2004 |
IGF1R cardiac KO | Prevents physiologic growth to swimming | n.d. | Kim et al., 2008 |
IR cardiac KO | Normal growth, inhibits metabolic adaptation | n.d. | Boudina et al., 2009 |
IRS-1/IRS-2 cardiac KO | Prevents physiologic growth to swimming | n.d. | Riehle et al., 2014 |
ERRB2 cardiac KO | Necessary for CM proliferation during development | n.d. | D'Uva et al., 2015 |
ERRB2 cardiac Tg | Promotes CM proliferation | n.d. | D'Uva et al., 2015 |
eNOS-/- | No impact on physiologic growth | Necessary for protective effects of wheel running post-MI | de Waard et al., 2010 |
Additional evidence supports the idea that signaling through IGF-1R, as well as the insulin receptor (IR), transduces key components of the cardiac metabolic adaptation to exercise. Interestingly, cardiac-specific IR knockout mice displayed impaired mitochondrial respiration and ATP synthesis rates (Boudina et al., 2009). Surprisingly, these changes occur in the absence of altered PGC-1a levels although PPARα expression is reduced (Boudina et al., 2009). However, deletion of the insulin receptor substrate (IRS), required for both IGF-1R and IR signaling, prevented PGC-1a activation and increased mitochondrial capacity following exercise (Riehle et al., 2014). These results provide evidence that coordination of growth programs and metabolic re-programming may occur by IGF-1- and insulin-triggered signaling pathways.
Other cellular signaling events are capable of activating the PI3K/Akt pathway. For instance, activation of the ErbB2/ErbB4 tyrosine kinase receptors by the growth factor neuregulin-1 can stimulate PI3K signaling (D'Uva et al., 2015; Fukazawa et al., 2003). Notably, the neuregulin-1/ErbB2/ErbB4 pathway regulates cardiomyocyte proliferation and differentiation during development, and may affect a cardiac regenerative response in the adult heart (Bersell et al., 2009; D'Uva et al., 2015). Neuregulin-1 expression is upregulated in the heart with exercise training (Cai et al., 2016; Waring et al., 2014). Interestingly, exercise has been shown, at least in some contexts, to induce markers of cardiomyocyte proliferation (Bostrom et al., 2010; Cai et al., 2016). However, the precise role for neuregulin-1 signaling in the adaptation to exercise, including cardiomyocyte proliferation, is unknown.
Nitric oxide (NO) has also been shown to be a mediator of the beneficial effects of exercise in the heart. NO generated by endothelial nitric oxide synthase (eNOS) activates soluble guanylate cyclase (sGC) leading to increases in cGMP and activation of protein kinase G (PKG). The sGC/PKG pathway has been shown to be cardioprotective (Rainer and Kass, 2016). There is substantial evidence for a link between these pathways and the cardiac benefits of exercise. Exercise was shown to protect against ischemia/reperfusion injury through activation of endothelial nitric oxide synthase (eNOS) and subsequent increase in cardiac and circulating levels of NO (Calvert et al., 2011). The benefits of exercise following myocardial infarction are lost in eNOS knockout animals (de Waard et al., 2010). Interestingly, these effects may also be dependent on b3-adrenergic receptors. eNOS activation by exercise also prevents cardiac remodeling in response to chronic adrenergic activation (Yang et al., 2014). Finally, there is evidence that eNOS contributes to the cardiac metabolic remodeling with exercise. Specifically, increases in mitochondrial biogenesis as well as PGC-1a levels were absent in eNOS deficient mice following swim training (Vettor et al., 2014).
Translational and Therapeutic Implications
There is evidence, largely from pre-clinical models, to suggest that exercise and the physiologic cardiac hypertrophic program antagonizes pathologic growth and improves cardiac function in the context of pathologic conditions that typically lead to heart failure. Indeed, most of the murine genetic models that have been identified to control physiologic growth also impact pathologic growth, demonstrating the inherent dichotomy of these growth programs (Table 1). Apart from these genetic manipulations of signaling pathways and other factors, exercise training has a direct effect on cardiac pathologic remodeling. Low intensity exercise training has been shown to delay the onset of heart failure in the spontaneously hypertensive heart failure rat without effects on hypertension (Emter et al., 2005). Training also improved cardiac function in surgical and genetic models of heart failure or hypertrophic cardiomyopathy in mice (Konhilas et al., 2006; McMullen et al., 2007; Vanzelli et al., 2013). In humans, the largest study to examine the effects of exercise in heart failure patients was the HF-ACTION trial that examined the safety and efficacy of exercise in over 2300 patients with heart failure with reduced ejection fraction (HFrEF) (O'Connor et al., 2009). The study examined the effects of a combination of walking, treadmill and stationary bike exercise at prescribed percentages of maximal heart rate five times per week. The results of HF-ACTION demonstrated non-significant reductions in cardiovascular mortality or heart failure hospitalization in those patients prescribed exercise as compared to the usual care group (O'Connor et al., 2009). However, these findings were significant when adjusted for baseline characteristics. Importantly, there were significant improvements in physical fitness and 6-minute walk test that indicate improvements in quality of life (Flynn et al., 2009). It is important to note that the HF-ACTION trial only enrolled patients with reduced ejection fraction. It is now well recognized that a significant proportion of HF patients have heart failure with preserved ejection fraction (HFpEF). While a large randomized trial assessing the impact of exercise in HFpEF patients has not been performed, a number of smaller studies have been reported. A retrospective analysis of these latter studies has shown improvements in cardiorespiratory fitness and quality of life that were not associated with changes in either diastolic or systolic function in HFpEF patients (Pandey et al., 2015). This suggests that exercise-mediated improvements in these patients may not be due to primary effects on cardiac function but rather peripheral effects on skeletal muscle, endothelial function or arterial stiffness (affecting peripheral vascular resistance). Given the low number of patients enrolled in the HFpEF trials to date, larger controlled and randomized studies are needed to confirm these findings. In addition, assessment of the type of exercise most beneficial in both HFpEF and HFrEF cohorts is warranted.
As noted above, virtually every signaling pathway or factor that promotes physiologic growth also provides cardioprotection or antagonizes pathologic growth in pre-clinical studies (Table 1) (Bezzerides et al., 2016; Bostrom et al., 2010; Liu et al., 2015; Weeks et al., 2012). This rationale, together with the HF-ACTION trial results, cardiac rehabilitation may now be prescribed for HFrEF patients. However, significant barriers exist for exercise therapy in these patients. Historically, adherence to a strict exercise regimen has been difficult. Even in HF-ACTION, overall adherence and the amount of time spent exercising fell over the trial period (O'Connor et al., 2009). These patients are typically older and have additional co-morbidities that prevent participation or adherence to an exercise regimen. Therefore, targeted therapies that promote exercise-signaling pathways in the heart hold promise to complement exercise regimens. However, finding safe and efficacious targets to promote physiologic hypertrophic pathways is a challenge. The IGF-1/PI3K pathway is a well-validated target in pre-clinical models. In addition, growth hormone (GH) replacement therapy represents one strategy to increase circulating IGF-1 levels. Indeed, early pre-clinical studies demonstrated a benefit of GH in experimental heart failure (Isgaard et al., 1997; Yang et al., 1995). Unfortunately, however, clinical trials with GH have been mixed and have not provided strong rationale for this approach (reviewed in (Arcopinto et al., 2013)). Targeting energy metabolism and mitochondrial dysfunction would seem to be another attractive option, possibly in combination with agents that enhance upstream signaling events. Targeting factors within the downstream PGC-1 cascade may prove effective. For example, PPARδ shares many targets with PPARα in the heart but also activates glucose oxidation driving a more balanced fuel utilization profile (Burkart et al., 2007). PPARδ also mediates the response to exercise in cooperation with AMPK signaling in skeletal muscle (Narkar et al., 2008). Therefore, selective PPARδ ligands seem an attractive target for promoting exercise-like effects in the setting of heart failure. This study also demonstrated that AMPK synergized with PPARδ in skeletal muscle suggesting that direct AMPK activators could function as exercise mimetics. AMPK activation has a variety of metabolic effects that could be of benefit in heart failure (Kim and Dyck, 2015). PGC-1a is also a direct target of AMPK providing a direct link to mitochondrial biogenesis and energy production (Jäger, PMID: 17609368). However, concerns over AMPK activation and excessive glycogen storage in cardiac myocytes have dampened enthusiasm for this approach (Arad et al., 2007). ERR may also prove to be an effective target, although to date potent activators have not been identified. In addition, the mitochondrial targeted antioxidant molecule SS-31 interacts with the mitochondrial-specific phospholipid cardiolipin (Birk et al., 2013). SS-31, also known as elamipretide, promotes mitochondrial respiration and improves cardiac function in a canine microembolization heart failure model (Birk et al., 2014; Sabbah et al., 2016). This molecule is now being tested in the clinic.
Summary and future perspectives
A greater appreciation and understanding of the specific and quantifiable benefits of exercise on cardiac structure and function has emerged over the last decade or so. Physical activity and reversal of sedentary behavior has a clear benefit on mortality risk, attributable in large part to a reduction of death from cardiovascular disease. Much of the work in this area has focused on the adaptations of the heart to exercise training. Endurance training produces growth of cardiac myocyte size with preserved contractile function. This occurs in the absence of interstitial or perivascular fibrosis or myocyte disarray commonly associated with pathologic forms of growth. In this regard, we now recognize that specific growth factors and signaling pathways orchestrate a “physiologic” or adaptive hypertrophic program that is characterized by increased cardiac myocyte size in the absence of activation of the fetal gene program. In addition, exercise training results in metabolic adaptive cardiac remodeling enhanced capacity for fuel utilization and a mitochondrial biogenic response coordinated, at least in part, by PGC-1a. The same signaling pathways responsible for cardiac myocyte growth also regulate mitochondrial adaptations demonstrating a coordinated evolved response to ensure adequate energy production to meet the increased demands of exercise. Importantly, these adaptations also antagonize pathologic signaling in the setting of heart failure or provide cardioprotection from ischemic insult. Despite mounting evidence that activation of pathways associated with physiologic growth would provide therapeutic benefit, issues related to druggability, non-cardiac side effects and efficacy remain major challenges. However, we believe that the potential benefit of the elusive “exercise mimetic” remains high enough for continued research in this area.
Acknowledgments
The authors would like to acknowledge the following funding sources. To J.K., National Institutes of Health Independent Scientist Award (K02 HL105799); American Heart Association (16GRNT31390006); Sarver Heart Center at the University of Arizona and the Steven M. Gootter Foundation. To L.A.L., NIH HL117138. To D.P.K., NIH grants R01 DK045416 (D.P.K.), R01 HL058493 (D.P.K.), and R01 HL128349 (D.P.K.).
Footnotes
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