Next Article in Journal
Inosine Triphosphate Pyrophosphatase (ITPase): Functions, Mutations, Polymorphisms and Its Impact on Cancer Therapies
Next Article in Special Issue
Analysis of the Glucose-Dependent Transcriptome in Murine Hypothalamic Cells
Previous Article in Journal
The Influence of Gut Microbiota on Neurogenesis: Evidence and Hopes
Previous Article in Special Issue
LEAP-2 Counteracts Ghrelin-Induced Food Intake in a Nutrient, Growth Hormone and Age Independent Manner
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Physiological Function during Exercise and Environmental Stress in Humans—An Integrative View of Body Systems and Homeostasis

by
Gavin Travers
1,
Pascale Kippelen
2,3,
Steven J. Trangmar
4 and
José González-Alonso
2,3,*
1
The European Astronaut Centre, The European Space Agency, Linder Höhe, 51147 Cologne, Germany
2
Centre for Human Performance, Exercise and Rehabilitation, Brunel University London, Uxbridge UB8 3PH, UK
3
Division of Sport, Health and Exercise Sciences, Department of Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK
4
School of Life and Health Sciences, University of Roehampton, London SW15 4JD, UK
*
Author to whom correspondence should be addressed.
Cells 2022, 11(3), 383; https://doi.org/10.3390/cells11030383
Submission received: 29 December 2021 / Revised: 18 January 2022 / Accepted: 19 January 2022 / Published: 24 January 2022

Abstract

:
Claude Bernard’s milieu intérieur (internal environment) and the associated concept of homeostasis are fundamental to the understanding of the physiological responses to exercise and environmental stress. Maintenance of cellular homeostasis is thought to happen during exercise through the precise matching of cellular energetic demand and supply, and the production and clearance of metabolic by-products. The mind-boggling number of molecular and cellular pathways and the host of tissues and organ systems involved in the processes sustaining locomotion, however, necessitate an integrative examination of the body’s physiological systems. This integrative approach can be used to identify whether function and cellular homeostasis are maintained or compromised during exercise. In this review, we discuss the responses of the human brain, the lungs, the heart, and the skeletal muscles to the varying physiological demands of exercise and environmental stress. Multiple alterations in physiological function and differential homeostatic adjustments occur when people undertake strenuous exercise with and without thermal stress. These adjustments can include: hyperthermia; hyperventilation; cardiovascular strain with restrictions in brain, muscle, skin and visceral organs blood flow; greater reliance on muscle glycogen and cellular metabolism; alterations in neural activity; and, in some conditions, compromised muscle metabolism and aerobic capacity. Oxygen supply to the human brain is also blunted during intense exercise, but global cerebral metabolism and central neural drive are preserved or enhanced. In contrast to the strain seen during severe exercise and environmental stress, a steady state is maintained when humans exercise at intensities and in environmental conditions that require a small fraction of the functional capacity. The impact of exercise and environmental stress upon whole-body functions and homeostasis therefore depends on the functional needs and differs across organ systems.

1. Introduction

Elucidation of whole-body and organ systems functions during exercise and environmental stress has a long and rich history of important discoveries that have helped shape our current understanding of the body systems interactions during physical stress and their impact on the maintenance of homeostasis, the topic of this honorary issue in memory of Professor Claude Bernard. Conceptually, maintenance of physiological systems functions and cellular homeostasis (regulation of internal milieu) during physical work hinges upon the precise matching of cellular energetic demand and supply, and the production and clearance of metabolic by-products [1,2]. A long-standing question in integrative physiology is whether this actually happens across all exercise modalities and intensities that humans undertake [3,4,5]. The comprehensive characterisation of the neural, respiratory, cardiovascular, metabolic, thermal, endocrine and autonomic adjustments to short incremental or prolonged strenuous exercise in absence or in combination with environmental stress has proved very insightful in addressing this fundamental question [3,6,7,8,9,10,11,12,13,14,15,16,17,18]. Accordingly, this review will examine how whole-body functions and dynamic homeostasis are affected by exercising at different intensities and durations. The impact of exercise and environmental stress on body functions will be interpreted primarily according to the Fick principle, which determines the rate of oxygen consumption by the human body, an organ, limb or tissue. The rate of oxygen consumption is equal to the product of blood flow and the arterial-venous oxygen content differences (a-vO2 diff). To gain insights into the underpinning peripheral and central regulatory mechanisms, we will also discuss factors influencing: (i) the delivery of oxygen, nutrients and regulatory substances to the brain and the respiratory, cardiac and skeletal muscles, and (ii) the removal of metabolic by-products (primarily carbon dioxide (CO2) and heat) by the lungs and circulation to the environment. The convective transport of gases, nutrients and regulatory substances to organs and tissues is determined by their blood contents and blood flow [4,19]. The central role of blood flow in the integrative responses to exercise and environmental stress will be highlighted. This review will be divided into four main sections that present the adjustments of the human brain, the lungs, the heart and the skeletal muscles to exercise and environmental stress. An integrative section will provide a synthesis of these organ systems responses to physical and environmental stress, and emphasise the role of brain-body interactions on homeostasis. As most human studies in this field have been carried out in young, trained people, it is important to note that the absolute physiological responses discussed in this review differ from those of other populations possessing lower physical fitness levels (e.g., untrained adults, children, elderly people, or clinical patients). Cross-population comparisons are outside the scope of this review, and thus will not be discussed. Notwithstanding this limitation, the fundamental physiological principles under scrutiny could be generalisable to other groups, as they are based on the relative and time course adjustments to exercise and thermal stress. The interested reader is directed to other topical articles and comprehensive reviews focusing on the magnitude and pattern of response in different populations [20,21,22,23].

2. Brain Function during Exercise and Environmental Stress

The brain plays an essential role in maintaining whole-body function and homeostasis. Afferent metabolic, thermal, mechanical, and biochemical signals from multiple body systems and peripheral tissues, are integrated by the brain. Within the brain, afferent inputs are processed, and appropriate efferent neural outputs are generated to support regulation of organ systems function. The brain is also concerned with maintaining its own homeostasis to support its energetic demands. At rest, the brain consumes a substantial proportion (~20%) of the whole-body oxygen uptake [24,25]. During exercise, however, this proportion is comparatively modest (1–2% of VO2max) despite the apparent profound increases in regional motor neuron and cardiorespiratory activity responsible for activation of locomotor muscles and supporting oxygen transport systems [26,27,28]. In this section, we examine how regional and global blood flow, metabolism, and neural activity of the brain are altered when exercise is performed, with and without added environmental stress.

2.1. Exercise Responses

At rest, global cerebral blood flow (gCBF) is ~750 mL·min−1, or ~15% of the resting cardiac output (Q) [29]. CBF responds in a biphasic manner during incremental exercise. From rest to low-to-moderate intensity exercise (up to ~60% of VO2max), CBF increases by ~15–35% (~115–250 mL·min−1). This increase in CBF is reflected when measured regionally (rCBF) by radioactive tracers or radiolabelled microspheres [26,30], or transcranial Doppler [31,32,33], and when measured globally through summation of volumetric measures of carotid and vertebral artery blood flow [34]. When incremental exercise progresses to the heavy and severe intensity domains (≥60% of VO2max), CBF begins to fall towards baseline values [32,33,34,35,36]. The reduction in CBF could curtail the cerebral VO2, which in turn might impair brain function. However, concomitant to the fall in CBF, the cerebral a-vO2 diff increases (to the order of ~40% compared to submaximal exercise) and, as a result, the cerebral VO2 either remains stable [36] or slightly increases [33,37]. Notwithstanding the changes in CBF and a-vO2 diff, the cerebral VO2 for the whole brain is equivalent to only ~0.08 L·min−1, representing less than 2% of systemic VO2 during near-maximal whole-body exercise.
In contrast to the now well-characterised CBF responses to incremental exercise, there is comparatively less known about the CBF response to prolonged, and very-prolonged submaximal exercise in the low-to-moderate exercise intensity domain in normothermic conditions. Of the limited data available, CBF is demonstrated to be elevated by ~20% from rest to exercise, during work performed at a fixed intensity [38], and during self-paced exercise [39]. If there are no further homeostatic disturbances and, in particular, if blood gas homeostasis is maintained at a similar level throughout prolonged exercise (discussed further in Section 3) CBF remains stable [38]. On the other hand, during time-trial exercise and when there is some degree of cardiovascular strain, CBF might fall slightly, with this fall being smaller compared to high or even severe-intensity exercise [39]. When CBF remains stable, this is also reflected in the brain metabolism, with the brain a-vO2 diff, cerebral VO2 and brain glucose uptake staying unchanged [40].

2.2. Impact of Adding Thermal Stress to Exercise

When incremental exercise is performed in a compensable hot environment, there is a ~20–25% rise in CBF from rest to submaximal intensities, as seen during similar exercise in thermoneutral conditions [36]. In hotter, uncompensable conditions CBF still increases with increasing exercise intensity but the extent of the rise at any given work rate is reduced [35,41]. As in thermoneutral conditions, the rise in CBF at submaximal exercise intensities is accompanied by a fall in brain a-vO2 diff, resulting in the maintenance of cerebral VO2 to baseline levels [36]. Furthermore, when incremental exercise in a hot environment progresses beyond ~50–60% of maximal work rate, CBF is blunted concomitant to a rise in core body temperature (Tc) [35,36]. When constant-load cycling exercise is performed at high intensity in a hot environment, a reduction in CBF occurs close to volitional fatigue [42].
During prolonged, constant-load submaximal exercise in a hot environment, the rest-to-exercise transition results in a similar ~20% increase in CBF to that seen during the same exercise performed in normothermic conditions. Thereafter, however, CBF falls back towards, or even below baseline levels (which contrasts to normothermic conditions where CBF is maintained above baseline). In an uncompensable hot environment (40 °C, 20% relative humidity), the development of significant hyperthermia (with an end exercise Tc ~40 °C) lowers CBF by ~25% [38]. In a compensable hot environment (35 °C, 30% relative humidity), where end-exercise Tc is ~38.5–39 °C, the fall in CBF is still significant (~15%) [43]. Furthermore, the superimposition of dehydration in the same environmental conditions lowers CBF further still [43,44]. CBF is also reduced for much of the duration of self-paced exercise in the heat compared to exercise in a normothermic environment [39]. Despite the suppression of CBF during prolonged, submaximal exercise in environmental stress, the cerebral VO2 has been shown to be broadly stable, owing to an increase in cerebral O2 extraction [43].

2.3. The Control of Brain Blood Flow during Exercise, with and without Environmental Stress

The functional significance of the biphasic changes in CBF during incremental exercise, the reduction in CBF with prolonged exercise with thermal stress, and the precise mechanisms regulating these responses remain to be fully elucidated. Within the brain, localised elevations in CBF are thought to reflect both neural feedforward [45,46] and metabolic feedback mechanisms [47,48] in response to increased neuronal activity and metabolic demand (“neurovascular coupling”). This neural-metabolic flow coupling is observed during visual stimulation [49,50,51] and the performance of motor tasks (e.g., hand movements) engaging a small fraction of the total muscle mass [30]. Whether neural activity per se is a major factor in increasing gCBF during dynamic whole-body exercise remains unclear. However, in support of this idea, elevations in rCBF to regions of the brain responsible for cardiorespiratory and gross motor control have been observed in miniature swine [26]. Moreover, O2 supply and oxygenation in the frontal cortex (a region of the brain of importance for gross motor control) has been reported to increase with increasing exercise intensity (at least, up to the boundary between moderate and heavy exercise domains) [52,53,54].
Numerous mechanisms are purported to play a role in regulating cerebrovascular tone and regional CBF at the onset of dynamic whole-body exercise [55,56]. A small increase in the partial pressure of CO2 in arterial blood (PaCO2) is seen at the commencement of dynamic exercise, which would be expected to lead to cerebral vasodilation and explain the increase in rCBV in the middle cerebral artery [57]. For the posterior circulation, where rCBF increases progressively with incremental exercise intensity [34], a temperature-dependent mechanism similar to that operating in the extracranial circulation [34,35,36] has recently been suggested [58]. Finally, the wide-spread vasodilator agent, nitric oxide (NO), could play a role in neurovascular coupling [47]. Of the potential mechanisms underpinning the fall in rCBF and gCBF during high-to-maximal intensity exercise, the hyperventilation-induced reduction in PaCO2 (hypocapnia) seems to be of primary importance (discussed further in Section 3). The hyperventilation and associated hypocapnia seen during strenuous exercise in a thermoneutral environment are heightened when the same exercise is performed in environmental stress, explaining why the fall in CBF is amplified in such conditions. In fact, the role of core body hyperthermia, and associated hypocapnia, in the lowering of CBF is supported by studies increasing Tc independent of exercise [59,60,61].
Currently, a direct and comprehensive measure of rCBF and oxygenation of the multiple regions of the human brain during incremental exercise is lacking. As discussed in the above sections, and in accordance with the Fick principle, the increase in CBF, at the global level, is coupled to a proportional reduction in the cerebral a-vO2 diff, such that the global cerebral VO2 does not rise (at least at exercise intensities ≤ ~50% of VO2max) (Figure 1) [33,36,37]. The absence of a change in whole-brain VO2 suggests that, whilst some regions of the brain increase their metabolic activity during incremental exercise (e.g., motor cortex), the metabolic rate in other regions might be maintained or downregulated. On the other hand, an increase in the cerebral VO2, in combination with a reduction in CBF during prolonged exercise and severe hyperthermia, is estimated to lower the cerebral mitochondrial oxygen tension (PmitoO2) by ~5 mmHg, which could lower brain oxygenation [62]. However, the extent of the composite reductions in CBF and cerebral oxygenation, even to levels seen at volitional exhaustion (with and without environmental stress) is unlikely to affect brain function [63].
Whilst the combination of strenuous exercise and environmental stress does not appear to compromise cerebral aerobic metabolism, the development of high body temperatures, coupled with reduced CBF, might yet impact on brain homeostasis in other ways. Firstly, the onset of fatigue processes during exercise is at least in part related to the attainment of a high core and brain temperature [66,67,68]. Direct measurements of human brain tissue temperature, or carotid artery blood temperature have not been attempted in exercising humans, but evidence from temperature measures of the blood draining the brain have provided some insight into brain temperature dynamics during exercise in the heat [69]. The temperature of the brain is mainly dependent on its metabolic heat production and the convective heat exchange between the brain and body core [69,70]. During exercise in normothermic conditions, brain temperature increases in association with the rise in Tc (and thus arterial blood temperature entering the brain via the carotid and vertebral arteries), whereas CBF and brain metabolic heat production remain stable (as evidenced by constant cerebral VO2) [36,40,69]. In comparison, when the same exercise is performed in an uncompensable hot environment, a small increase in brain heat production, coupled to a reduction in CBF (~20%) and heat removal (~30%), appear to collectively cause additional heat to be stored within the brain [69]. Nevertheless, the small difference between core and jugular venous blood temperature points towards a more important role of arterial blood temperature in the brain thermal response to exercise and thermal stress compared to increases in brain heat production [69]. Understanding the impact of rising brain temperature and associated exercise stressors on cerebral motoneuron activity and central drive is therefore of paramount importance in elucidating the chain of events leading to fatigue during exercise with and without environmental stress.
Increases in core and brain temperature during exercise are associated with alterations in electroencephalographic (EEG) activity. These alterations are synonymous with the development of fatigue of the central nervous system [38,71,72], reductions in cognitive acuity [73] and decreased arousal [74,75]. The changes in EEG activity appear to be unrelated to reductions in CBF (which is typically seen during exhaustive exercise) [72]. In addition to alterations in cerebrocortical activity, reductions in maximal voluntary force production and voluntary activation, particularly during sustained muscle contractions [38,74], have been observed with passive [74,76,77] and exercise-induced [38,73] elevations in Tc. This reduction in force generating capacity measured before and after exhaustive exercise is generally considered to be supraspinal (or “central”) in origin, although hyperthermia-related disturbances at the spinal and peripheral level could also interfere with appropriate neuromuscular function [76]. Whilst there is a strong theoretical basis for the role of the central and peripheral nervous system in the fatigue seen during intensive exercise and environmental stress [74,78], it is interesting to note that the locomotor muscle integrated electromyographic (iEMG) activity increases with exercise intensity through to volitional exhaustion [79] and during exhaustive, constant-load maximal aerobic exercise [77,80]. These important observations support that the central nervous system drive to the contracting skeletal muscles increases during strenuous exercise with and without environmental stress.
In summary, intense exercise and thermal stress lead to a reduction in cerebral perfusion. Whilst the fall in O2 delivery could conceivably impair cerebral metabolism and brain homeostasis, brain oxygen uptake appears to not be compromised. Reductions in CBF during exercise and environmental stress might, however, contribute to fatigue processes through elevations in brain temperature and alterations in brain function beyond suppression of central drive (a possibility to be further discussed in the integrative Section 6).

3. Lung Function during Exercise and Environmental Stress

The respiratory system is a key ‘gatekeeper’ of blood gas homeostasis. Through modulation of the rate and depth of breathing and resulting changes in pulmonary and alveolar ventilations and in alveolar-capillary diffusion, the respiratory system plays a crucial role in the chain of interlinked events that enable adequate supply of O2 to body tissues, removal of CO2 and maintenance of blood pH. During exercise, as the metabolic demand of the working muscles increases (with more O2 extracted from the blood and more CO2 and H+ released into it), blood homeostasis can be seriously challenged; tight control of breathing is therefore needed.

3.1. Exercise Responses

At low-to-moderate exercise intensities, increases in pulmonary ventilation (VE) occur instantly when exercise commences (phase 1 of hyperpnea). VE then increases more slowly (phase 2) until a steady state is reached (phase 3). VE stabilises at a level commensurate to the metabolic needs, thereby maintaining PaCO2 and PaO2 close to baseline [81]. In the heavy exercise domain (coincident with lactic acidosis), a steady state is never reached. To partly compensate for metabolic acidosis, hyperventilation occurs (i.e., VE increases out of proportion to VO2 and VCO2). Consequently, at high exercise intensities, PaCO2 falls, when PaO2 is usually maintained [82].
Some well-conditioned male endurance athletes [83,84] and some females of variable aerobic fitness level [85] are unable to maintain arterial blood gases homeostasis during exercise, showing significant falls in PaO2 (>10 mmHg) and arterial oxyhaemoglobin saturation (SaO2, >5%) from rest. Insufficient alveolar hyperventilation at submaximal exercise intensities [83,86] and hampered gas exchange (due to ventilation-perfusion ratio maldistribution and diffusion limitation) at higher intensities [87,88] commonly contribute to arterial hypoxemia. Nonetheless, following a reduction in plasma volume and associated haemoconcentration during exercise, arterial O2 content (CaO2) is preserved or increased, even in those individuals with exercise-induced arterial hypoxemia [84,85]. When exercise is performed with no additional environmental stress, the healthy respiratory system seems therefore generally able to cover the increased O2 demand imposed by exercise.

3.2. Impact of Adding Environmental Stress to Exercise

Environmental and physiological stress, such as heat, hyperthermia and dehydration, can alter resting lung function independently of exercise [89,90,91]. Further, it has long been established that humans will hyperventilate when heat load becomes excessive [92]. At rest (during passive heating), pulmonary VE exceeds metabolic activity when Tc reaches 37.8–38.5 °C [93,94,95]. Above this temperature threshold, the ventilatory response is proportional to the degree of hyperthermia [93,94,95]. However, humans respond variably to heat stress [94], and the mode of heating influences their ventilatory response [96].
During exercise (active heating), the increased heat generated by contracting muscles and the resulting core hyperthermia act as additional ventilatory stimuli; an attenuation or amplification of exercise-induced elevation in Tc reducing [97,98] or increasing VE [38], respectively. There are, however, notable differences in hyperthermic hyperventilation between exercise and rest [94,95,96]. In some exercise-based studies, a temperature threshold for hyperthermia-induced hyperventilation has been reported, which might be intensity dependent (occurring at Tc ~37 °C during prolonged light-to-moderate [94,95] versus ~38 °C during incremental exercise to exhaustion [99,100]). Further, the sensitivity to increasing Tc appears variable between rest and exercise. At rest, elevations of Tc of 1 to 2 °C above normal levels lead to a rise in VE of ~3–5 L·min−1·°C−1 [93,96,101]. During constant-load, submaximal exercise in the heat, the rise in VE could, however, be larger; typical values ranging from ~4–10 L·min−1·°C−1 [38,94,96]. Finally, while an increase in breathing frequency primarily drives the rise in VE during exercise [94,102], sole or combined increases in breathing frequency and/or tidal volume contribute to hyperventilation in hyperthermic humans at rest [103,104].
Hyperthermia-induced hyperventilation has multiple consequences on the human body. Through excess elimination of CO2, hyperthermia-induced hyperventilation causes hypocapnia and respiratory alkalosis. At rest, hyperventilation associated with a ~1 °C gain in Tc causes a PaCO2 fall of ~10 mmHg and an elevation in blood pH to ~7.46 (with subsequent decrease in bicarbonate ions) [101]. During prolonged submaximal exercise in the heat (with ~2.5–3 °C gains in Tc), PaCO2 commonly falls by ~5 mmHg [6,38]. When hyperthermic individuals get dehydrated during exercise, blood pH also increases (to ~7.43) and blood bicarbonate levels decrease [6]. During both active and passive heating, protection of blood homeostasis may therefore become secondary to the human’s thermoregulatory needs.
Reasons for hyperthermia-induced hyperventilation in humans are unclear. As in panting animals, an increase in VE that is primarily driven by tachypnoea could be a way (albeit small) for humans to increase evaporative heat loss through respiration [105]. Further, hyperventilation-derived heat exchange between the upper airways and the internal carotid artery may contribute to selective brain cooling [104,106]. However, that humans are capable of selective brain cooling remains hotly debated [107,108]. In fact, the reduction in PaCO2 associated with hyperthermia-induced hyperventilation may negatively affect the brain. PaCO2 has an important role in determining cerebral circulation [109]. In resting [59,96,110,111] and exercising [36,38] hyperthermic individuals, hypocapnia has been shown to contribute to cerebral hypoperfusion. As reduced brain blood flow during prolonged exercise with hyperthermia can affect convective heat removal from the brain to the body core [38], hyperthermia-induced hyperventilation could, via modulation of cerebral perfusion, challenge human cranial thermoregulation and homeostasis. However, the concomitant increase in extracranial blood flow [34,36,60,61] suggests that the net heat liberation from the human head might still be elevated in hyperthermic conditions where cerebral perfusion declines. Further work is required to elucidate the physiological significance of hyperthermic hyperventilation.

3.3. Breathing Mechanics and Control of Breathing during Exercise, with and without Environmental Stress

The increase in pulmonary ventilation during exercise is achieved by an increased mechanical work of the diaphragm and muscles of the rib cage and abdomen. Thus, exercise-hyperpnea/-hyperventilation generate extra metabolic and circulatory costs. Akin the other skeletal muscles, the respiratory muscles can fatigue. However, transient loss in force generating capacity of the inspiratory diaphragm [112] and expiratory abdominal muscles [113] only occurs when exercise is strenuous (>85% VO2max) and sustained (to the limit of tolerance). The impact of the transient loss in force generating capacity of the respiratory muscles on blood flow and O2 delivery to/consumption by the locomotor and respiratory muscles when VE is close to its peak has been the subject of extensive research and intense debate.
Fatigue of the respiratory muscles has been postulated to trigger a metaboreflex, leading to preferential ‘redistribution’ of blood flow to the diaphragm, and subsequent locomotor fatigue [114]. Growing evidence support (i) occurrence of a sympathetically-related vasoconstriction in limb locomotor muscles during exercise [11,64,115,116,117] and (ii) an influence of respiratory muscle work on locomotor muscle blood flow/fatigue (loading and unloading of the respiratory muscles having reciprocal effects on limb blood flow and endurance exercise time [118,119,120]). However, whether respiratory muscles have higher priority than locomotor muscles over blood flow is still an open question.
During maximal exercise, respiratory muscle blood flow might account for 14–16% of the systemic blood flow in highly trained athletes [121], with the oxygen cost of breathing estimated at 7–10% of whole-body VO2 in healthy untrained individuals, 13–16% in highly trained individuals [122,123], and upwards 20% in some endurance-trained women [123]. However, even in those highly trained individuals able to generate very high ventilatory flows during exercise (peak VE of ~165 L·min−1), the work of breathing only averages ~0.6 kJ·min−1 [123,124]. Based on Figure 1, the work of the respiratory muscles during maximal cycling would therefore represent only a very small fraction of whole-body aerobic energy turnover (which stands at ~98 kJ·min−1). Thus, the potential for respiratory muscles to ‘steal’ blood flow from locomotor muscles appears limited, if it ever happens. In contrast, for exercise intensities beyond 80% of maximum work-rate, a decline in blood flow and vascular conductance at the level of the respiratory intercostal muscle has been reported [124]. Further, through increases in O2 extraction from the circulation, torso and upper-body VO2 becomes elevated during high intensity exercise [64,117,125] (Figure 1). Although direct and continuous haemodynamic measures in the human diaphragm are still needed, evidence currently available does not provide strong support for a ‘prioritisation of blood flow’ toward the respiratory muscles during exercise.
How pulmonary VE is regulated during exercise is only partly understood and subject to much controversy [126,127,128]. Beyond humoral (blood-borne) factors, which can stimulate ventilation via activation of central (medullary neurons) and peripheral (carotid bodies) chemoreceptors, ventilatory changes during exercise seem heavily reliant on fast-acting neural feed-forward (i.e., an augmented central command [129]) and feedback from mechano- and metaboreceptors (particularly from locomotor muscle group III and IV afferents [130,131]). Depending on the phase of exercise (phase 1, 2 or 3 of hyperpnea), the intensity of exercise (leading to either hyperpnea or hyperventilation) and the environment (hypoxia, cold or heat exposure), the contribution—and possibly, interaction—of different signals in the drive to breathe is likely to vary.
The exact mechanisms underpinning hyperthermia-induced hyperventilation in humans are still disputed, with a likely differential contribution of body tissue temperatures (in particular, brain, muscles and skin temperatures) and of chemo- and metaboreceptors between rest and exercise. While at rest, an enhanced chemoreceptor ventilatory O2 drive partly contributes to the rise in VE [111], the involvement of carotid bodies during exercise seems negligible [132]. In exercising humans, at least three temperature-sensitive pathways could contribute to hyperventilation [133], i.e., (i) an increase in neural activity of the ventral respiratory group in the medulla [134]; (ii) an increase in efferent output from the cerebral cortex [135]; and (iii) an increase in neural discharge from muscle metaboreceptors (via group III and IV afferents) [136,137]. Further work needs to be done to establish the respective contribution of these different pathways (and possibly others) in the maintenance of blood homeostasis and cranial thermoregulation during hyperthermic hyperventilation.

4. Heart Function during Exercise and Environmental Stress

Exercise with and without environmental stress greatly increases tissue and organ systems requirements for O2 and nutrient delivery, and the removal of waste products and metabolically liberated heat. Up to moderate intensities, these demands are generally met by proportional increases in systemic blood flow (Q) and vascular conductance, with attenuated responses occurring during intense exercise or moderate exercise with extreme environmental temperature. The varied adjustments to exercise intensity and environmental stress provide insight into the control of cardiac function. This understanding is fundamental to determine whether the myocardium itself can maintain cellular homeostasis, and thus influences the development of fatigue during exercise with or without environmental stress.

4.1. Exercise Responses

From rest to highly intense exercise, the cardiovascular system adjusts the supply of O2 and nutrients to the energetic demand of the contracting skeletal, cardiac and respiratory muscles, but these responses are not uniform across all exercise modalities and intensities. During small muscle mass (i.e., single-leg knee extensor) and moderately intense dynamic exercise (i.e., two-legged cycling) increases in systemic blood flow and convective O2 transport are intensity dependent [11,13,64,138,139,140]—as evidenced by the linear rise in Q and systemic O2 delivery [13,64,125]. The constant perfusion-to-power and perfusion-to-VO2 relationships (e.g., 5–6 L·min−1·L O2) indicate that the cardiovascular system is operating well within its regulatory capacity during these exercising conditions (Figure 1) [11,13,125,141]. However, with whole-body exercise at higher exercise intensities, a mismatch between work rate and Q becomes evident [142,143]. As highlighted in Section 3, CaO2 is maintained or increased during strenuous exercise. The blunting in systemic O2 delivery during intense whole-body exercise is therefore related to alterations in systemic blood flow dynamics. Indeed, beyond ~40–50% of maximal aerobic work rates, increases in Q demonstrate a curvilinear response relative to increases in intensity [11,64,144,145], whereas the pressure gradient between the aorta and the right atrium keeps increasing compared to resting and low intensity exercise conditions [11,64,125,145,146]. The attenuation in Q is associated with an ever-increasing heart rate, a decline in stroke volume, and a plateau in systemic vascular conductance which all precede the attainment of VO2max (Figure 1) [11,64,125,145,147,148,149]. Similar systemic cardiovascular strain is seen during maximal aerobic exercise at constant work rates [11,42,150]. It is therefore clear that maximal aerobic exercise in normal environmental conditions challenges the homeostatic control systems that govern the coupling of peripheral O2 demand and systemic O2 supply.

4.2. Impact of Adding Environmental Stress to Exercise

In warm environments, the additional thermoregulatory demands placed on the circulation by light or moderate exercise are generally well met. In this setting, elevations in skin blood flow to support convective heat transfer to the environment [151,152,153,154] are associated with >1 L·min−1 greater Q and moderately reduced arterial pressure compared to exercise in cool conditions [151,155,156,157,158]. Provided normal hydration status is kept, light and moderately intense exercise may continue for durations upwards of 2 h and is associated with stable Q and arterial pressure (Figure 2) [44,159,160,161,162,163]. However, the cardiovascular adjustments to exercise vary substantially, depending on the degree of environmental heat stress and/or exercise intensity. The development of whole-body hyperthermia in uncompensable hot environments is related to marked cardiovascular strain and impaired exercise capacity (Figure 3 and Figure 4). When exercise is performed above moderate intensities or in substantially elevated environmental temperatures, Q and stroke volume are suppressed in comparison to responses in cool conditions [12,66,164]. Furthermore, although variable among individuals and studies, reductions in VO2max with whole-body hyperthermia generally occur in proportion to the magnitude of heat strain [41,67,150,151,165,166]. The restrictions in Q and O2 delivery that happen during incremental or maximal constant load exercise in normothermic conditions [11,150] display a remarkably similar, but accelerated response when exercise is combined with whole-body hyperthermia [35,150]. Hence, available evidence indicates that systemic blood flow, O2 supply and aerobic capacity are more rapidly impaired in exercise and environmental conditions causing severe whole-body hyperthermia.
Hydration status also modulates the effects that exercise intensity and thermal stress have on blood flow regulation. Studies manipulating total body water and body temperature at rest and during exercise using carefully controlled environmental conditions or water-perfused suits are indicative of this interaction. For instance, Q is maintained at rest and increases with small muscle mass exercise across graded levels of mild to moderate dehydration (~2–3.5% body mass loss) [167,168]. Furthermore, Q is relatively unaltered in individuals who perform moderate dynamic exercise in a cold environment in a dehydrated (up to ~4% body mass loss) versus a euhydrated state [157,169]. In contrast, a hallmark response to dehydration during prolonged moderate dynamic exercise in the heat is a progressive decline in Q, which is accompanied by reductions in stroke volume, arterial pressure and blood volume and concomitant increases in Tc, heart rate and systemic vascular resistance (Figure 2) [6,43,44,162,164,170]. The marked impairments in VO2max and endurance capacity also suggest that similar cardiovascular strain is apparent during maximal aerobic exercise [67,171,172]. For example, when maximal aerobic exercise is performed in a hyperthermic state, both with and without dehydration, VO2max and endurance capacity are reduced to a similar extent; ~16% and ~52% relative to control conditions, respectively (Figure 3) [67]. Taken together, the experimental evidence highlights the potential for whole-body hyperthermia with and without dehydration to speed up the reductions in systemic O2 delivery and impair aerobic capacity and endurance performance (Figure 4). A key question however, is what mechanisms underpin the impaired systemic blood flow?

4.3. Cardiac and Peripheral Mechanisms Regulating the Systemic Circulation

The contributions of the heart and the periphery to the regulation of systemic blood flow during exercise and environmental stress is an area of enduring debate within integrative physiology. The prevailing theory views the heart as a ‘pressure-propulsion pump’. Under this paradigm, the heart is the pump that generates the total driving force (pressure) for the blood’s propulsion through the peripheral vessels and its distribution to the brain, the respiratory, cardiac, postural and locomotor muscles, the skin, and the splanchnic and renal vascular beds [3,173,174,175,176,177,178,179]. In this model, cardiovascular function is predominantly determined by intrinsic factors (such as myocardial contractility) and by extrinsic factors that alter the preload and afterload of the heart (i.e., venous return, mean arterial pressure and peripheral vascular resistance). Venous flow (venous return to the pump) is also driven by a pressure gradient between the venous vasculature of peripheral tissues and the right atrium, and is facilitated by the action of the skeletal muscle pump [180,181,182,183,184]. Experimental findings will be interpreted in the context of this paradigm to answer whether the function of the heart itself is compromised during exercise with and without environmental stress. Alternative views will be presented in the integrative section of the review.
Direct and indirect evidence of the intrinsic chronotropic, inotropic and lusitropic responses to exercise and heat stress sheds light into myocardial function during conditions of increased energetic demands. It is well established that exercise heart rate, contractility (via β-adrenergic stimulation) and stroke work all increase the O2 demand of the myocardium [185,186,187,188,189,190,191,192]. However, a crucial question is whether the heart reaches its functional capacity during maximal aerobic exercise. Limited direct evidence from healthy humans exercising in cool ambient conditions reveal that coronary artery blood flow increases three- to five-fold above resting levels in proportion to elevations in heart rate [190,193]. A substantial coronary flow reserve may also be present at exhaustion, as indicated by elevated flows during exercise in hypoxia at lower absolute workloads compared to normoxia [194,195]. Concurrently, coronary venous O2 saturation decreases from ~33% to ~24% with intense exercise, indicating that coronary venous O2 content declines and arteriovenous oxygen differences increase, despite coronary venous O2 tension being largely unaltered during exercise > 85% of maximal heart rate [186,194]. These limited observations imply myocardial VO2 may be sufficiently increased during maximal aerobic exercise. In this light, the rate pressure product—a widely accepted index of myocardial workload (i.e., product of heart rate and systolic blood pressure)—also rises linearly during incremental dynamic exercise to volitional exhaustion [11,148,149,192]. Using right atrial pacing throughout incremental exercise to increase heart rate by ~20 beats·min−1 above normal values, Munch et al. [125] demonstrated that maximal Q is unaltered due to reciprocal reductions in stroke volume. Arterial, central venous and pulmonary pressures and systemic vascular conductance were also remarkably similar to control exercise [125]. The findings strongly indicate that peak myocardial VO2 can be increased during maximal aerobic exercise without negatively impacting the overall cardiac performance. Consequently, the human heart appears to be working below its capacity during maximal aerobic exercise, and thus limitations in myocardial metabolism and work capacity do not seem to explain the blunted or reduced systemic blood flow and vascular conductance.
Recent advancements in non-invasive imaging and speckle-tracking echocardiography also shed light into the intrinsic and extrinsic factors that may modulate the myocardial contractile function during exercise and heat stress with and without dehydration. Firstly, studies assessing left ventricular mechanics establish the influence of intrinsic cardiac factors. Following exercise-induced dehydration (with a ~3.5% loss of body mass), resting tissue Doppler derived measures of systolic and diastolic function are maintained [196], while the systolic mechanical twisting and rotational velocity of the left ventricle—made possible by the helical orientation of cardiac myofibres—is enhanced compared to euhydrated responses in the face of a reduced stroke volume [167]. Despite this, resting Q is unaltered or elevated [167,196], indicating overall cardiac performance is not impaired. When exercise is performed in a dehydrated and hyperthermic state, left ventricular systolic rotation, rotational velocities and twist, as well as diastolic untwisting rate are maintained or enhanced [44,167,197]. Furthermore, end-systolic volume has been shown to be maintained [197] or to decrease slightly [44,167] in these conditions, suggesting contractility is preserved or may even be enhanced during exercise, dehydration and hyperthermia.
Secondly, the impact of afterload on cardiovascular function during exercise and heat stress can be explored from the relationships between left ventricular volumes and arterial pressure/systemic vascular resistance. Expression of these relationships as effective arterial elastance—an index of the net arterial load imposed on the left ventricle [198]—and end-systolic elastance—an integrated measure of left ventricular performance [198,199]—provides additional novel insight into the potential peripheral factors that may underpin cardiovascular function. With incremental exercise in normothermic conditions, systolic twisting of the left ventricle increases [145] and end-systolic volume is maintained as exercise intensity increases from moderate to heavy/severe intensities despite elevated systolic pressure [145,148,149,192]. Afterload also appears to have minimal influence on the decline in Q with progressive exercise-induced dehydration in the heat, as arterial blood pressure is similar or slightly reduced compared to euhydrated responses [6,43,44,162,170,197,200]. However, parallel increases in effective arterial elastance have been observed during prolonged exercise [44,197], suggesting a possible contribution of increased afterload on lowering stroke volume. Notwithstanding, the simultaneous observations that end-systolic elastance is maintained and end-systolic volume may be slightly reduced [44,197,200] indicate that the impact of increased afterload on stroke volume is negligible. Together, these observations suggest afterload does not impair the heart’s ability to eject blood into the systemic circulation during intense exercise, whole-body hyperthermia and moderate dehydration.
Characterisation of left ventricular volumes during exercise and heat stress addresses the impact of preload on cardiac performance. It has been postulated that a reduction in preload when exercise is performed in the heat is related to the increasing thermoregulatory demands for skin blood flow [12,138,151,201]. Under this paradigm, decrements in stroke volume occur following redistribution of centrally circulating blood to compliant cutaneous vascular beds. This acts to lower ventricular filling pressure and—in the face of a reduced stroke volume—heart rate is elevated in an attempt to maintain Q [12,138,151,201,202]. In this construct, reductions in systemic blood flow observed during exercise-induced dehydration may simply be a consequence of a reduced Q. Support for this notion stemmed from observations that whole-body cooling reverses stroke volume and central venous pressure responses seen with whole-body hyperthermia and exercise [12]. However, not only does aggressive cooling influence cutaneous blood flow, but it also lowers skin and core temperatures. Furthermore, skin perfusion reaches maximal rates during dynamic exercise in the heat when Tc approaches ~38 °C [152,163,203], and yet stroke volume continues to decline as significant hyperthermia develops (i.e., Tc substantially above 38 °C) [66,204,205,206]. Hence, skin temperature appears to play a relatively minor role in comparison to Tc on the stroke volume responses to exercise in hot conditions [207].
An additional possibility that relates to the intrinsic activity of the heart is the heart rate itself. Increasing exercise intensity or elevations in Tc and sympathoadrenal activity elevate heart rate during exercise [157,162,170,208], resulting in a shorter duration of diastolic filling and concomitant fall in end-diastolic volume [145,167,204,206,209]. These responses may be exacerbated further by dehydration and the associated concomitant hyperthermia and reduced circulating blood volume [44,197,200]. Experiments manipulating heart rate and blood volume during exercise in the heat with and without dehydration support the notion of a dual role in impairments in diastolic filling. By preventing the typical rise in heart rate during exercise in the heat via β1-adrenergic blockade, stroke volume is maintained rather than reduced [204,206,209] (presumably via increased diastolic filling time). Furthermore, intravenous infusion of dextran at a rate matching expected sweat losses during exercise-induced dehydration results in a maintained blood volume, while the typical progressive elevation in heart rate is largely unaltered [203]. Interestingly, however, this approach reduces the decline in stroke volume by ~50% to that observed during exercise without any form of fluid replacement [203], and completely restores stroke volume and heart rate to euhydrated levels when body temperature is maintained by exercise in the cold, despite persistent intracellular and interstitial dehydration [210]. Taken as a whole, these findings suggest that a combination of tachycardia and reduced blood volume reduce stroke volume with exercise, heat stress and dehydration.
The collective findings outlined above suggest the functioning of the myocardium itself is well maintained in the face of the profound physiological strain induced by intense exhaustive exercise in normal and hot environmental conditions. However, it appears that several peripheral factors, extrinsic to the myocardium, are associated with attenuations in systemic blood flow and vascular conductance. The control—and potential consequences of impaired—matching of O2 and nutrient delivery with removal of metabolic waste and heat in the locomotor muscles is discussed in detail in the next section.

5. Skeletal Muscle Function during Exercise and Environmental Stress

Skeletal muscle contraction produces the force and power necessary for locomotion. The underpinning formation and dissociation of cross-bridges between the myosin and actin myofilaments require chemical energy generated through adenosine triphosphate (ATP) hydrolysis. Because of its limited cellular storage, ATP is continuously resynthesised via phosphocreatine hydrolysis, glycolysis and oxidative phosphorylation, but their contributions primarily depend on the interplay of exercise intensity and duration [211,212,213,214]. During exercise longer than 1–2 min, however, the majority of ATP is generated in the muscle mitochondria via oxidative phosphorylation, using reducing energy equivalents from carbohydrate and fat metabolism [212,215,216]. Close matching of O2 supply and demand is therefore crucial to sustain muscle metabolism and contractile function during the majority of exercise modalities. The following sections will address whether O2 supply to contracting skeletal muscle is tightly regulated across a range of exercise and environmental conditions.

5.1. Exercise Responses

It is well established that blood flow to working muscles in humans increases with elevations in exercise intensity at an average rate of 75–80 mL·min−1·W−1 [5,13,217,218]. This local response is met by a similar rise in systemic blood flow, but a modest increase in the arteriovenous pressure gradient [11,64,65,117,125]. The magnitude of increase in skeletal muscle perfusion can reach 100- to 160-fold in untrained and trained humans performing small muscle mass exercise (i.e., an increase from ∼2.5 at rest to ∼250 and ∼400 mL·min−1·100 g−1 at maximal single leg dynamic knee-extensor exercise in untrained and trained individuals, respectively) [13,217,219]. These estimates of maximal perfusion in human skeletal muscle agree with values in animal studies [220,221,222] and demonstrate the enormous capacity of the skeletal muscle vasculature to dilate and increase blood flow when aerobic metabolic demand increases. The delivery of O2 and nutrients to working skeletal muscle and the clearance of metabolic waste products and heat are a function of blood flow, the blood concentration of gases, substrates and metabolites, and the temperature of the blood. The concentration of O2 and nutrients in the arterial blood is typically maintained or changes slightly during short duration exercise in normal conditions. Blood flow is therefore the primary determinant of O2 and fuel delivery to active skeletal muscle during dynamic exercise [4,219,222,223,224]. Similarly, venous blood flowing from the locomotor limbs towards the heart and the lungs transports CO2 and heat to be released to the environment during the processes of pulmonary gas exchange and cutaneous heat liberation. While a small amount is released via the respiratory system, most of the heat liberation to the environment occurs when blood circulates through the cutaneous circulation, in particular in the locomotor limbs [66,225,226,227].
Mechanisms sensing the rate of muscle O2 utilisation and heat production are thought to largely control the magnitude of increase in blood flow to active skeletal muscle, also known as exercise hyperaemia [4,219,222,225]. The progressive increases in blood and tissue temperature, leg blood flow, leg O2 delivery, leg O2 extraction and leg VO2 in healthy young men during incremental single leg dynamic knee-extension exercise and submaximal cycling supports this idea [11,13,64,65,117,225,228]. These circulatory adjustments across the active leg tissues—chiefly, the exercising quadriceps muscle in the knee-extensor exercise model [13,228,229]—are for the most part accompanied by proportional increases in Q, systemic O2 delivery and VO2. Yet an exponential rise in these variables occurs when engaging the upper body muscles before reaching exhaustion during this small muscle mass exercise model [64,65,125] (Figure 1). Accordingly, a primary aim of the peripheral and central mechanisms involved in the regulation of the circulation during dynamic steady-state exercise is to maintain a close match between O2 supply and demand in active muscle [4,219,222,223,224,230]. However, close matching of O2 supply and utilisation is not a universal physiological phenomenon in active skeletal muscle across all exercise modes and intensities.
Evidence in human models indicates that blood flow and O2 delivery to active locomotor skeletal muscles is restrained when engaging a large muscle mass during intense whole-body exercise, e.g., cycling, skiing, rowing, or running [8,11,35,64,116,117,125,231,232,233]. In support of this, leg blood flow and O2 delivery have been shown to be the same up to 40% of the maximal aerobic work rate (Wmax). Moreover, perfusion and O2 supply are intimately related to leg VO2, irrespective of whether power output is generated only by the quadriceps muscles during single leg knee-extensor exercise or spread among the different leg muscles during two leg cycling [64,125] (Figure 1). These observations are strong evidence of the intimate coupling between O2 delivery and metabolic demand. Nonetheless, during cycling exercise above a moderate intensity, the relationship between locomotor limb tissue perfusion/O2 supply and O2 utilisation is curvilinear [64,125]. This curved relationship in the moderate to maximal intensity domain is indicative of a mismatch between O2 supply and metabolic demand for O2 [64,125] (i.e., above 50–80% Wmax; Figure 1 and Figure 5). As a consequence, muscle perfusion per unit of power is lower during maximal whole-body exercise than during maximal small-muscle exercise (i.e., single leg knee-extensor exercise) [64,125,234]. Importantly, the substantial rise over time in active muscle iEMG activity during exhaustive exercise [77,80,235,236,237,238] suggests that the blunting in active muscle perfusion (i.e., blood flow per unit of active muscle) is actually greater than that revealed from the limb blood flow to power relationship, since muscle recruitment increases out of proportion to power output. Regardless of the true magnitude of the phenomenon, it is clear that the observed restrictions in contracting muscle blood flow impose a circulatory limitation to aerobic capacity and endurance performance.
In contrast to the well-characterised peripheral and systemic haemodynamic responses during short duration exercise, and due to the narrow applicability of the available invasive and non-invasive methodology, relatively limited data exist on the circulatory response of the working muscles to prolonged whole-body exercise. Using the constant-infusion thermodilution technique, studies reveal stable exercising limb blood flow during prolonged cycling when hydration status is maintained [6,155,156,239,240,241,242,243] (Figure 2). Direct measurements and estimates of blood flow in non-exercising tissues and organs (upper body) blood flow during prolonged exercise are also suggestive of stable brain, upper limb, splanchnic and renal circulations [6,43,44,239] (Figure 2), as well as body temperature, metabolic, fluid and ion balance and acid-base profiles [66,161,162,170,239,244]. Hence, matching of O2 supply and demand, and maintenance of thermal and acid-base balances can happen at the local and systemic levels during prolonged exercise even in warm conditions as long as body fluid status is preserved.

5.2. Impact of Adding Thermal Stress to Exercise

As discussed above in relation to the responses to small and large muscle mass exercise in normal conditions, exercise type—or more specifically, the overall physiological demand—acts as an important modulator of the skeletal muscle adjustments to separate and combined exercise and heat stress. Studies utilising small muscle-mass exercise (e.g., single-leg knee-extensor exercise) demonstrate an elevation in limb blood flow during exercise with heat stress, suggesting an additive effect of metabolic and thermoregulatory blood flow requirements when whole-body physiological demand is very low (power output 10 to 50 W for a trained individual) [158,245]. Even at these low absolute exercise intensities, however, the elevation in limb blood low is lower than would be expected given the magnitude of hyperaemia observed when heat stress and exercise are studied in isolation. As an example, while severe passive hyperthermia results in elevations in leg blood flow of ~1 L·min−1 [158,245,246,247,248,249], the superimposition of the same thermal stimulus onto single-leg knee-extensor exercise in the same individuals results in increases of only ~0.5 L·min−1—an attenuation of 50% of the response seen at rest [158,245,250]. When a larger muscle mass is engaged (e.g., cycling), the hyperthermia-induced augmentation in exercising limb blood flow disappears altogether [35,155,156,240,241] (Figure 5). This suggests that the much greater metabolic and thermal effects of whole-body exercise on exercising leg blood flow (~16–19 L·min−1 at peak exercise) [35] cancel out the independent influence of hyperthermia observed during passive heating or small muscle mass exercise.
The skeletal muscle circulatory responses to combined dehydration and hyperthermic stress are also different at rest and during isolated-limb exercise compared to strenuous whole-body exercise. At rest, limb blood flow and limb vascular conductance (limb blood flow/limb perfusion pressure) are enhanced with progressive dehydration and hyperthermia; a response maintained during small muscle mass exercise, despite substantial body mass losses (~3.5%) and reductions in limb perfusion pressure [168]. Conversely, during prolonged whole-body exercise, there is a substantial ~2 L·min−1 reduction in locomotor limb blood flow compared to control exercise and a ~1.3 L·min−1 combined reduction in skin, brain, and visceral organ blood flow (Figure 2) [6,43,44,162,203]. Similarly, the combination of heat stress and whole-body exercise at near maximal intensities (e.g., 80–100% VO2max) poses a major challenge to cardiovascular control. Severe hyperthermia results in a quicker onset of fatigue, due to a more rapid reduction in blood flow to the working skeletal muscles of the locomotor limbs compared to exercise at temperate ambient temperatures [150] (Figure 3 and Figure 4). This muscle hypoperfusion leads to reduced convective O2 delivery and blunted aerobic metabolism, because maximal functional O2 extraction of the exercising limb tissues (~90–95%) is achieved in the early stages of severe-intensity exercise [150]. Ultimately, the ensuing mismatch between O2 supply and demand compromises skeletal muscle metabolism, contractile function, power output and endurance capacity.

5.3. Mechanisms of Blood Flow Control—Impact of Exercise, Hyperthermia and Dehydration

According to the hydraulic equivalent of Ohm’s law, skeletal muscle perfusion is determined by vascular conductance (the inverse of resistance) and perfusion pressure gradient, i.e., arteriovenous pressure difference. During dynamic incremental exercise, the increases in active limb muscle blood flow are primarily the result of increases in vascular conductance. The latter is indicative of vasodilatation of the vascular beds perfusing the active muscle, as the perfusion pressure gradient does not change during mild intensity exercise, or increases slightly, in comparison to flow during intense exercise. In exercising limbs, the diameter of the large conduit vessels, such as the femoral and brachial arteries, does not appear to change, or changes little, in comparison to the increases in arterial blood velocity [158,168,218,245,251,252,253,254]. Consequently, the enhanced vasodilatation, indicated by the global increases in limb vascular conductance during exercise, is attributable largely to increases in the diameter of small arteries and arterioles perfusing active muscle fibres and rheological changes underpinning a decrease in blood viscosity with, among other factors, increases in local temperature [230,255,256,257,258].
Several local and central control mechanisms have been proposed to regulate active muscle blood flow. These include metabolic, myogenic, mechanical, humoral and neural mechanisms, which involve the interaction of multiple intravascular, interstitial and intracellular signaling pathways [3,4,222,223,259,260]. The close coupling between O2 supply and utilisation across a wide range of conditions supports a role of oxygen sensing mechanisms in the so-called metabolic vasodilation [255,261]. In particular, red blood cells (RBCs, which constitute ~84% of all human cells in the body by number) [262] contribute to the matching in O2 supply and demand in skeletal muscle during dynamic exercise by three O2-dependent mechanisms: (i) release of the vasoactive substances ATP, (ii) S-nitrosohaemoglobin (SNO-Hb)-dependent vasodilation, and (iii) reduction of nitrite to vasoactive NO [19,255,261,263,264,265]. The regulatory role of RBCs in humans is strongly supported by the observations that, (i) exercising skeletal muscle blood flow responds primarily to changes in the amount of O2 bound to the erythrocyte haemoglobin molecules, rather than the amount of O2 in plasma [251,266,267,268,269,270,271], and (ii) exercising muscle blood flow during submaximal single leg knee-extensor exercise can almost double (from 260 to 460 mL·min−1·100 g−1) with marked acute alterations in blood O2 content (i.e., with combined polycythaemia and hyperoxia vs. combined anaemia, plasma volume expansion and hypoxia), such that O2 delivery and VO2 are kept constant [272]. Exercise is associated with decreases in intracellular O2 markers [141]. It therefore seems plausible that exercise hyperaemia is also influenced by concomitant activation of intracellular O2 sensing mechanisms [4,273]. Intracellular O2 markers such as PO2 and myoglobin O2 saturation cannot, however, explain the further elevation in exercising limb muscle blood flow occurring with carbon monoxide-induced arterial hypoxaemia. This is because quadriceps muscle PO2 and myoglobin O2 saturation remain at similar levels compared to normoxia, along with normal venous and arterial PO2 levels [274]. Thus, exercising limb blood flow responses to independent alterations in blood oxyhaemoglobin and plasma free O2 are unrelated to arterial, venous or muscle PO2 [266,267,268,274]. The main vascular O2 sensor locus for the control of blood flow therefore appears to lie in the erythrocyte itself, rather than in the PO2-sensitive areas of the vascular endothelium, vascular smooth muscle or skeletal muscle. These data collectively support that O2 delivery, rather than tissue blood flow per se, is a key regulated variable involving in part O2 sensors in the erythrocytes and the concomitant release of vasoactive substances into the vascular lumen. These vasoactive signals lead to relaxation of vascular smooth muscle and vasodilatation by binding to specific receptors in the vascular endothelium and triggering downstream signal transduction pathways [222,255,259,260,273].
Regulation of O2 supply during exercise and environmental stress not only involves locally released vasodilator signals, but also vasoconstrictor signals tied to the increase in muscle sympathetic nerve activity and circulating vasoconstrictor substances (e.g., noradrenaline) [4,259,273,275]. This construct can be used to explain the differential limb hemodynamic responses to dehydration and/or hyperthermia under resting and different exercising conditions (i.e., an increase at rest and small muscle mass exercise vs. a decline during whole-body exercise). In conditions of small muscle mass exercise with dehydration and hyperthermia, it is possible that thermal, fluid and oxygen sensing mechanisms activated by (i) increases in local tissue temperature similar to that observed during local and whole-body passive heating [158,245,246,247,276,277] (ii) changes in red blood cell deformability and cell volume [278,279] and (iii) elevations in arterial oxygen content concomitant to the dehydration-mediated haemoconcentration [19,168] lead to augmented vasodilator activity in the face of a very low systemic sympathetic activity (e.g., circulating noradrenaline 1.2 to 1.9 nmol·L−1). This contrasts with the responses to whole-body prolonged exercise where a similar fall in mean arterial pressure (~8%) is accompanied by a much larger increase in circulating catecholamines (~18 nmol·L−1). Paradoxically, however, limb vascular conductance is essentially unchanged or slightly enhanced [6,168]. This observation is similar to those seen during constant work rate, maximal aerobic exercise with superimposed body hyperthermia and high levels of circulating catecholamines [150] (see Figure 4). However, this finding disagrees with those seen during incremental cycling to exhaustion where exercising leg vascular conductance is consistently blunted at near to maximal aerobic exercise intensities and muscle sympathetic nerve activity and circulating catecholamines are increasing exponentially to values many-fold higher than at rest or low intensity exercise [11,35,64,115,116]. These findings illustrate the regulatory complexity underlying the locomotor muscle blood flow responses to exercise and environmental stress, which differ depending upon the exercise type and intensity; factors determining the magnitude of stress imposed on the body. In conditions requiring a high fraction of the functional capacity, the restricted contracting skeletal muscle blood flow might not only be mediated by augmented vasoconstrictor activity, but also by suppressed vasodilator function at the level of the microcirculation; a possibility that warrants investigation.

6. Integrative View of Physiological Systems and Homeostasis during Exercise and Environmental Stress

From the above discussions regarding the responses of individual organ systems to exercise with and without heat stress, it is evident that the ability to perform exercise in different environments is greatly dependent on the coordinated functions of the human brain, the lungs, the heart, and the muscles. The functional responses of these organs are underpinned by a myriad of mechanisms encompassing (but not limited to) locally released regulatory substances and signals discharged by the endocrine, autonomic and central nervous systems. Discussion of the roles and specific contributions of the neuroendocrine systems in this context is beyond the scope of this review. The reader is instead directed to other excellent reviews of these topics [3,4,138,280,281,282]. In this section, we present two scenarios to explain the integrative physiological responses to exercise and environmental stress, and discuss how these vital organ systems interact to maintain cellular homeostasis and function in most exercise conditions. The first scenario exemplifies the exercise and environmental stress conditions where physiological steady state is achieved (Figure 6). In this scenario, increases in the rate of locomotion and the degree of thermal stress induce multiple functional and homeostatic adjustments, which primarily involve: elevations in O2 and substrate demand utilisation, and increases in CO2 and heat production mostly in the working skeletal muscles. The associated rise in muscle blood flow ensures appropriate O2 and substrate supply and CO2 and heat removal to the surrounding environment via the circulation. These peripheral responses are linked to the appropriate increase in central neuromotor drive, pulmonary ventilation, systemic blood flow and arterial pressure, and are supported by elevations in central and autonomic neural activity, as well as global respiratory, vascular, and cardiac functions. Cellular homeostasis is preserved across all organ systems, as the physiological demands of exercise and thermal stress are substantially below the body’s functional capacity; consequently, a steady state is achieved. Contrastingly, the second scenario (Figure 7) illustrates the physiological strain occurring during near or maximal aerobic exercise with and without environmental heat stress. The herein reviewed evidence suggests that compensatory adjustments seemingly preserve cellular homeostasis and function in the brain, the lungs, and the heart (as evidenced by the maintenance or increase in the corresponding regional VO2, central drive, pulmonary VE and heart rate). However, a mismatch between energy demand and supply in contracting skeletal muscle leads to compromised local metabolism, suppressed muscle contractile function, diminished force production and, ultimately, an inability to maintain speed of locomotion or power output (i.e., the hallmark of fatigue). In this view, reductions in skeletal muscle blood flow underlying the compromised O2 delivery and VO2 play a central role in the chain of events leading to fatigue.
The Fick principle is used in this review to establish whether exercise and environmental stress are met by either physiological steady state or strain. This integrative approach provides insights into the differing organ systems requirements of the body’s functional capacity and thus, the varied influence of exercise and environmental stress in each system. The comparison of the adjustments to prolonged and maximal aerobic exercise with and without significant dehydration and hyperthermia helps identify common physiological perturbations but different homeostatic challenges among organ systems. Disparities in their functional capacities and regulatory mechanisms governing local O2 supply, tissue O2 extraction and O2 utilisation might explain the differential organ system responses. The physiological strain associated with the impairment in endurance capacity during prolonged and maximal aerobic exercise is typified by: hyperventilation; internal body hyperthermia; blunted Q, restricted blood flow in the active skeletal muscles, respiratory muscles, skin, brain and visceral organs; enhanced total peripheral resistance; and a small reduction in mean arterial pressure or perfusion pressure [6,9,11,44,64,66,82,83,117,124,125,150,197]. During submaximal exercise, the reductions in peripheral blood flow and O2 supply are compensated for by increases in tissue O2 extraction, such that whole-body and regional VO2 are preserved [6,66]. Conversely, severe physiological strain during maximal aerobic exercise impairs VO2max in proportional to reductions in locomotor muscle VO2 [11,64,117,125,150]. The attenuation in the rate of O2 delivery is temporally associated with the attainment of the functional limit for O2 extraction across the locomotor limbs (~90–95% of O2 extraction reserve used), ensuing in a blunting in active skeletal muscle VO2 and VO2max [11,64,125,150,283]. In contrast, the brain, the lungs and the heart do not appear to attain the limit of their functional O2 reserve at exhaustion, and thus organ VO2 is preserved or increased [36,42,43,117].
A common phenomenon described herein is the blunting of peripheral and systemic blood flow, leading to attenuated O2 delivery to the working muscles, the brain, and other peripheral territories during near-to-maximal aerobic exercise intensities in varied environmental conditions and during prolonged intense exercise with significant dehydration and hyperthermic stress. These temporally linked restrictions in skeletal muscle blood flow and Q give rise to the alternative possibility that regulatory events in the peripheral microcirculation play a crucial role in the output of the heart [44,125,284,285,286]. Several empirical observations support this hypothesis: (i) artificial pacing of heart rate at rest and during exercise up to maximal aerobic capacity leaves Q and exercising limb blood flow unaltered, suggesting that tachycardia independent of peripheral circulatory events is inconsequential to activity of the heart [125,204,209,287,288,289]; (ii) incremental exercise in a man with an implanted cardiac pacemaker was associated with substantial elevations in end-diastolic volume, stroke volume, ejection fraction, pulmonary wedge pressure and Q, despite constant heart rate at 100 beats·min−1, whilst systemic blood flow rose in relation to VO2 up to 2 L·min−1 [3] (p. 181); (iii) increases in conduit artery blood flow during single leg knee-extensor exercise and passive segmental leg heating are accompanied by selective increases in downstream blood flow [246,290]. This is similar to what happens during intense whole-body exercise across the head, with brain blood flow declining when extracranial perfusion increases [35,36]; (iv) blood flow in non-exercising organs and tissues (including in the arm and brain) are relatively unchanged during incremental and constant power exercise, when large increases in Q occur (Figure 1 and Figure 5). This evidence ((iii) and (iv)) suggests that the heart does not determine local blood flow distribution; (v) in ex vivo pressurised preparations of small muscle resistance arteries, pharmacologically-induced alterations in vascular tone evokes substantial changes in blood flow in the absence of a heart [261,291,292]; (vi) infusion of vasodilator or constrictor substances into the femoral artery at rest and during submaximal and maximal aerobic exercise leads to proportional augmentation or blunting in leg blood flow and Q, respectively, but no changes in brain or contralateral limb blood flow [65,116,287,293,294,295]; (vii) infusion of ATP into the femoral vein (at a rate that causes substantial leg and systemic hyperaemia when infused in the femoral artery), does not change either leg blood flow or Q [65]; (viii) limb blood flow per unit of power is remarkedly similar during different exercise modalities despite very different systemic blood flows [64,125]; (ix) likewise, in the face of large differences in Q, limb blood flow is highly comparable during passive whole-body heat stress and isolated whole-limb and limb segment heating [158,246,247,277]; (x) the reductions in peripheral blood flow associated with exercise-induced dehydration parallel the diminished venous flow to the heart, suggesting that the lowering of Q occurs only when there is an interaction among reduced peripheral blood flow, dehydration-induced hypovolemia and tachycardia [6,44,210]; and (xi) exercising limb blood flow and Q per unit of power are restricted during exercise intensity domains above VO2max, yet the overall circulatory response is closely tied to contracting muscle aerobic metabolism [259,296]. These observations underscore the need for new integrative models that better explain the regulation of the heart and circulation across the whole range of exercise intensities and environmental stresses that humans can undertake/are exposed to.

7. Organ Systems Interactions—Future Research Directions

An alternative to the cardio-centric model considered in this review is that the regulation of the peripheral circulation, rather than the activity of the heart per se, determines the increase in Q and exercising muscle blood flow during exercise [44,125,284,285,286]. From a biophysical viewpoint, the heart can be viewed in this unconventional model as an organ of impedance whose mechanical function (comparable to a hydraulic ram) maintains pulmonary and arterial pressure through the cyclic interruption of flow [284,297,298,299]. Another radical idea supported by the profound increases in leg blood flow and Q during pharmacologically induced vasodilatation (7–8 L·min−1) in absence of the muscle pump, changes in metabolism or alterations in perfusion pressure in resting upright seated humans [65], is that the blood possesses autonomous movement [299,300,301]. Under exercise and environmental stress, blood movement through the circulation can be sustained by regulatory pathways that adjust local vascular conductance (and thus, blood flow) according, chiefly, to: metabolic and thermoregulatory demands, and acid-base homeostatic needs of organs and tissues [246,255,302].
In terms of brain–respiratory interactions, recent developments in neuroscience highlight the potential for astrocytes of the brainstem chemoreceptor areas to act as key cellular sensors in the regulation of breathing (particularly in conditions of increased metabolic demand, such as during exercise). Through detection of changes in brain tissue homeostatic parameters (in particular, pH/CO2 [303]), astrocytes could modulate the activity of medullary neurons essential for respiratory rhythmogenesis. In conscious rats, blockade of astrocyte vesicular release from the pre-Bötzinger complex (i.e., the neural network thought to play a central role for respiratory rhythmic generation [304]) has been shown to: alter breathing at rest; impair responses to hypoxia and hypercapnia; and dramatically reduce exercise capacity [305]. We may therefore posit that, in the exercising human, astroglial signalling strengthens the interactions between the brain and the lungs, and that it assists (via adjustment in the ventilatory response) in the maintenance of homeostasis.
The potential contribution of brain function to locomotor muscle fatigue is a subject with polarised views in the literature. For instance, the ‘central governor’ model of fatigue postulates that an anticipatory feedforward mechanism terminates strenuous exercise by depressing central motor drive before skeletal muscle blood flow and Q are compromised [306,307,308]. This idea, however, is at odds with empirical studies revealing that skeletal muscle blood flow and Q decline before muscle VO2 and VO2max are compromised, and before exhaustion occurs [11,64,117,125,150]. In this line, the rise in active muscle iEMG activity during exhaustive exercise [77,80,235,236,237,238] hints that central drive is increasing rather than decreasing prior to exhaustion. Whether the brain contributes to fatigue processes via other mechanisms deserves further research.

8. Conclusions

This review highlights the integrated functional homeostatic adjustments of multiple organs and tissues to elevations of O2 demand and consumption, and CO2 and metabolic heat production in response to exercise and environmental stress. The coordinated activity of the brain, lungs, the heart and skeletal muscles is capable of providing adequate increases in central neuromotor drive, pulmonary ventilation, systemic blood flow and arterial pressure under conditions of low physiological load. These conditions include small muscle mass exercise and prolonged submaximal dynamic exercise in warm compensable environments with adequate fluid intake (Figure 6). However, the physiological strain imposed by severely intense dynamic exercise (e.g., running, cycling, rowing, swimming) is associated with insufficient blood flow and O2 delivery to the exercising limbs, resulting in a mismatch between energy demand and supply in the contracting muscles. This manifests as compromised skeletal muscle metabolism, suppressed muscle contractile function, impaired force production, and, ultimately, an inability to maintain speed of locomotion or power output (i.e., fatigue) (Figure 7). This impaired homeostatic regulation of skeletal muscle metabolism to intense exercise is accelerated by the superimposition of whole-body hyperthermia and dehydration, while function and VO2 of the brain, lungs and heart are maintained. The impact of exercise and environmental stress upon whole-body functions and homeostasis therefore depends on the functional needs, and differs across organ systems. In sum, Claude Bernard’s concept of stability of the internal milieu—the underlying principle of homeostasis—remains highly relevant to the understanding of physiological adjustments, and functional homeostatic differences among organ systems during exercise and environmental stress in humans.

Author Contributions

Conceptualization, J.G.-A.; Writing—original draft preparation, G.T., P.K., S.J.T. and J.G.-A.; Writing—review and editing, G.T., P.K., S.J.T. and J.G.-A. All authors have read and agreed to the published version of the manuscript.

Funding

The article processing costs were funded by the Brunel Open Access Publishing Fund.

Acknowledgments

The authors give special thanks to research participants, collaborators, and funders of their studies. J.G.-A. and P.K. acknowledge that the ideas discussed herein about integrative physiology of exercise and environmental stress have been developed and refined over the years particularly in preparing presentations for scientific conferences and Ph.D. courses, and lectures for our undergraduate and post-graduate courses in Sport, Health and Exercise Sciences at Brunel University London. We acknowledge the contributions of our current and former doctoral and post-doctoral researchers (including the co-authors of this review G.T. and S.J.T.), the feedback from collaborators and students and the inspiration from thought leaders in integrative physiology.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

a-vO2 diff, arteriovenous oxygen difference; CBF, cerebral blood flow; CO2, carbon dioxide; EEG, electroencephalographic activity; gCBF, global cerebral blood flow; iEMG, integrated electromyographic activity; O2, oxygen; PaCO2, arterial carbon dioxide tension; PaO2, arterial oxygen tension; PmitoO2, mitochondria oxygen tension; Q, cardiac output; rCBF, regional cerebral blood flow; Tc, core temperature; VE, pulmonary ventilation; VCO2, carbon dioxide production; VO2, oxygen consumption; VO2max, maximal oxygen uptake; Wmax, maximal aerobic work rate.

References

  1. Bernard, C. Leçons sur les Phénomènes de la vie Communs aux Animaux et aux Végétaus/Par Claude Bernard.; JB Baillière: Paris, France, 1879. [Google Scholar]
  2. Cannon, W.B. Organization for physiological homeostasis. Physiol. Rev. 1929, 9, 399–431. [Google Scholar] [CrossRef]
  3. Rowell, L.B. Human Cardiovascular Control; Oxford University Press: New York, NY, USA, 1993; ISBN 9-19-507362-2. [Google Scholar]
  4. Joyner, M.J.; Casey, D.P. Regulation of Increased blood flow (hyperemia) to muscles during exercise: A hierarchy of competing physiological needs. Physiol. Rev. 2015, 95, 549–601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Saltin, B.; Rådegran, G.; Koskolou, M.D.; Roach, R.C. Skeletal muscle blood flow in humans and its regulation during exercise. Acta Physiol. Scand. 1998, 162, 421–436. [Google Scholar] [CrossRef] [PubMed]
  6. González-Alonso, J.; Calbet, J.A.L.; Nielsen, B. Muscle blood flow is reduced with dehydration during prolonged exercise in humans. J. Physiol. 1998, 513, 895–905. [Google Scholar] [CrossRef] [PubMed]
  7. Hawkins, M.N.; Raven, P.B.; Snell, P.G.; Stray-Gundersen, J.; Levine, B.D. Maximal oxygen uptake as a parametric measure of cardiorespiratory capacity. Med. Sci. Sports Exerc. 2007, 39, 103–107. [Google Scholar] [CrossRef] [PubMed]
  8. Roca, J.; Agusti, A.G.; Alonso, A.; Poole, D.C.; Viegas, C.; Barbera, J.A.; Rodriguez-Roisin, R.; Ferrer, A.; Wagner, P.D. Effects of training on muscle O2 transport at VO2max. J. Appl. Physiol. 1992, 73, 1067–1076. [Google Scholar] [CrossRef] [PubMed]
  9. Roca, J.; Hogan, M.C.; Story, D.; Bebout, D.E.; Haab, P.; Gonzalez, R.; Ueno, O.; Wagner, P.D. Evidence for tissue diffusion limitation of VO2max in normal humans. J. Appl. Physiol. 1989, 67, 291–299. [Google Scholar] [CrossRef]
  10. McGuire, D.K.; Levine, B.D.; Williamson, J.W.; Snell, P.G.; Blomqvist, C.G.; Saltin, B.; Mitchell, J.H. A 30-year follow-up of the Dallas Bedrest and Training Study: I. Effect of age on the cardiovascular response to exercise. Circulation 2001, 104, 1350–1357. [Google Scholar] [CrossRef] [Green Version]
  11. Mortensen, S.P.; Dawson, E.A.; Yoshiga, C.C.; Dalsgaard, M.K.; Damsgaard, R.; Secher, N.H.; González-Alonso, J. Limitations to systemic and locomotor limb muscle oxygen delivery and uptake during maximal exercise in humans. J. Physiol. 2005, 566, 273–285. [Google Scholar] [CrossRef]
  12. Rowell, L.B.; Murray, J.A.; Brengelmann, G.L.; Kraning, K.K. Human cardiovascular adjustments to rapid changes in skin temperature during exercise. Circ. Res. 1969, 24, 711–724. [Google Scholar] [CrossRef] [Green Version]
  13. Andersen, P.; Saltin, B. Maximal perfusion of skeletal muscle in man. J. Physiol. 1985, 366, 233–249. [Google Scholar] [CrossRef]
  14. Ekblom, B.; Goldbarg, A.N.; Gullbring, B. Response to exercise after blood loss and reinfusion. J. Appl. Physiol. 1972, 33, 175–180. [Google Scholar] [CrossRef]
  15. Dempsey, J.A.; La Gerche, A.; Hull, J.H. Is the healthy respiratory system built just right, overbuilt, or underbuilt to meet the demands imposed by exercise? J. Appl. Physiol. 2020, 129, 1235–1256. [Google Scholar] [CrossRef]
  16. Mitchell, J.H.; Sproule, B.J.; Chapman, C.B. The physiological meaning of the maximal oxygen intake test. J. Clin. Investig. 1958, 37, 538–547. [Google Scholar] [CrossRef] [Green Version]
  17. Saltin, B.; Astrand, P.O. Maximal oxygen uptake in athletes. J. Appl. Physiol. 1967, 23, 353–358. [Google Scholar] [CrossRef]
  18. Sutton, J.R.; Reeves, J.T.; Wagner, P.D.; Groves, B.M.; Cymerman, A.; Malconian, M.K.; Rock, P.B.; Young, P.M.; Walter, S.D.; Houston, C.S. Operation Everest II: Oxygen transport during exercise at extreme simulated altitude. J. Appl. Physiol. 1988, 64, 1309–1321. [Google Scholar] [CrossRef]
  19. González-Alonso, J. A novel role for the red blood cell in the regulation of tissue O2 supply. J. Physiol. 2012, 590, 4983–4984. [Google Scholar] [CrossRef] [Green Version]
  20. Åstrand, P.-O. Human physical fitness with special reference to sex and age. Physiol. Rev. 1956, 36, 307–335. [Google Scholar] [CrossRef]
  21. Kokkinos, P.; Myers, J.; Kokkinos, J.P.; Pittaras, A.; Narayan, P.; Manolis, A.; Karasik, P.; Greenberg, M.; Papademetriou, V.; Singh, S. Exercise capacity and mortality in black and white men. Circulation 2008, 117, 614–622. [Google Scholar] [CrossRef] [Green Version]
  22. Rowland, T.W. Developmental aspects of physiological function relating to aerobic exercise in children. Sports Med. 1990, 10, 255–266. [Google Scholar] [CrossRef]
  23. Edvardsen, E.; Hansen, B.H.; Holme, I.M.; Dyrstad, S.M.; Anderssen, S.A. Reference values for cardiorespiratory response and fitness on the treadmill in a 20- to 85-year-old population. Chest 2013, 144, 241–248. [Google Scholar] [CrossRef]
  24. Madsen, P.L.; Sperling, B.K.; Warming, T.; Schmidt, J.F.; Secher, N.H.; Wildschiodtz, G.; Holm, S.; Lassen, N.A. Middle cerebral artery blood velocity and cerebral blood flow and O2 uptake during dynamic exercise. J. Appl. Physiol. 1993, 74, 245–250. [Google Scholar] [CrossRef]
  25. Clarke, D.D.; Sokoloff, L. Regulation of Cerebral Metabolic Rate. In Basic Neurochemistry: Molecular, Cellular and Medical Aspects; Siegel, G.J., Arganoff, B.W., Albers, R.W., Fisher, S.K., Uhler, M.D., Eds.; Lippincott-Raven: Philadelphia, PA, USA, 1999. [Google Scholar]
  26. Delp, M.D.; Armstrong, R.B.; Godfrey, D.A.; Laughlin, M.H.; Ross, C.D.; Wilkerson, M.K. Exercise increases blood flow to locomotor, vestibular, cardiorespiratory and visual regions of the brain in miniature swine. J. Physiol. 2001, 533, 849–859. [Google Scholar] [CrossRef]
  27. Brümmer, V.; Schneider, S.; Strüder, H.K.; Askew, C.D. Primary motor cortex activity is elevated with incremental exercise intensity. Neuroscience 2011, 181, 150–162. [Google Scholar] [CrossRef] [PubMed]
  28. Christensen, L.O.D.; Johannsen, P.; Sinkjær, T.; Petersen, N.; Pyndt, H.S.; Nielsen, J.B. Cerebral activation during bicycle movements in man. Exp. Brain Res. 2000, 135, 66–72. [Google Scholar] [CrossRef] [PubMed]
  29. Lassen, N.A. Normal Average Value of Cerebral Blood Flow in Younger Adults is 50 mL/100 g/min. J. Cereb. Blood Flow Metab. 1985, 5, 347–349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Olesen, J. Contralateral focal increase of cerebral blood flow in man during arm work. Brain 1971, 94, 635–646. [Google Scholar] [CrossRef]
  31. Jørgensen, L.G.; Perko, M.; Hanel, B.; Schroeder, T.V.; Secher, N.H. Middle cerebral artery flow velocity and blood flow during exercise and muscle ischemia in humans. J. Appl. Physiol. 1992, 72, 1123–1132. [Google Scholar] [CrossRef]
  32. Hellstrom, G.; Fischer-Colbrie, W.; Wahlgren, N.G.; Jogestrand, T. Carotid artery blood flow and middle cerebral artery blood flow velocity during physical exercise. J. Appl. Physiol. 1996, 81, 413–418. [Google Scholar] [CrossRef]
  33. Fisher, J.P.; Hartwich, D.; Seifert, T.; Olesen, N.D.; Mcnulty, C.L.; Nielsen, H.B.; van Lieshout, J.J.; Secher, N.H. Cerebral perfusion, oxygenation and metabolism during exercise in young and elderly individuals. J. Physiol. 2013, 591, 1859–1870. [Google Scholar] [CrossRef]
  34. Sato, K.; Ogoh, S.; Hirasawa, A.; Oue, A.; Sadamoto, T. The distribution of blood flow in the carotid and vertebral arteries during dynamic exercise in humans. J. Physiol. 2011, 589, 2847–2856. [Google Scholar] [CrossRef]
  35. Trangmar, S.J.; Chiesa, S.T.; Kalsi, K.K.; Secher, N.H.; González-Alonso, J. Whole body hyperthermia, but not skin hyperthermia, accelerates brain and locomotor limb circulatory strain and impairs exercise capacity in humans. Physiol. Rep. 2017, 5, e13108. [Google Scholar] [CrossRef]
  36. Trangmar, S.J.; Chiesa, S.T.; Stock, C.G.; Kalsi, K.K.; Secher, N.H.; González-Alonso, J. Dehydration affects cerebral blood flow but not its metabolic rate for oxygen during maximal exercise in trained humans. J. Physiol. 2014, 592, 3143–3160. [Google Scholar] [CrossRef]
  37. Smith, K.J.; MacLeod, D.; Willie, C.K.; Lewis, N.C.S.; Hoiland, R.L.; Ikeda, K.; Tymko, M.M.; Donnelly, J.; Day, T.A.; MacLeod, N.; et al. Influence of high altitude on cerebral blood flow and fuel utilization during exercise and recovery. J. Physiol. 2014, 592, 5507–5527. [Google Scholar] [CrossRef]
  38. Nybo, L.; Nielsen, B. Middle cerebral artery blood velocity is reduced with hyperthermia during prolonged exercise in humans. J. Physiol. 2001, 534, 279–286. [Google Scholar] [CrossRef]
  39. Périard, J.D.; Racinais, S. Heat stress exacerbates the reduction in middle cerebral artery blood velocity during prolonged self-paced exercise. Scand. J. Med. Sci. Sports 2015, 25, 135–144. [Google Scholar] [CrossRef]
  40. Nybo, L.; Møller, K.; Volianitis, S.; Nielsen, B.; Secher, N.H. Effects of hyperthermia on cerebral blood flow and metabolism during prolonged exercise in humans. J. Appl. Physiol. 2002, 93, 58–64. [Google Scholar] [CrossRef] [Green Version]
  41. Keiser, S.; Flück, D.; Hüppin, F.; Stravs, A.; Hilty, M.P.; Lundby, C. Heat training increases exercise capacity in hot but not in temperate conditions: A mechanistic counter-balanced cross-over study. Am. J. Physiol. Heart Circ. Physiol. 2015, 309, H750–H761. [Google Scholar] [CrossRef] [Green Version]
  42. González-Alonso, J.; Dalsgaard, M.K.; Osada, T.; Volianitis, S.; Dawson, E.A.; Yoshiga, C.C.; Secher, N.H. Brain and central haemodynamics and oxygenation during maximal exercise in humans. J. Physiol. 2004, 557, 331–342. [Google Scholar] [CrossRef]
  43. Trangmar, S.J.; Chiesa, S.T.; Llodio, I.; Garcia, B.; Kalsi, K.K.; Secher, N.H.; González-Alonso, J. Dehydration accelerates reductions in cerebral blood flow during prolonged exercise in the heat without compromising brain metabolism. Am. J. Physiol. Heart Circ. Physiol. 2015, 309, H1598–H1607. [Google Scholar] [CrossRef] [Green Version]
  44. Watanabe, K.; Stöhr, E.J.; Akiyama, K.; Watanabe, S.; González-Alonso, J. Dehydration reduces stroke volume and cardiac output during exercise because of impaired cardiac filling and venous return, not left ventricular function. Physiol. Rep. 2020, 8, e14433. [Google Scholar] [CrossRef]
  45. Attwell, D.; Buchan, A.M.; Charpak, S.; Lauritzen, M.; MacVicar, B.A.; Newman, E.A. Glial and neuronal control of brain blood flow. Nature 2010, 468, 232–243. [Google Scholar] [CrossRef] [Green Version]
  46. Dienel, G.A. Fueling and Imaging Brain Activation. ASN Neuro 2012, 4, AN20120021. [Google Scholar] [CrossRef] [Green Version]
  47. Hoiland, R.L.; Caldwell, H.G.; Howe, C.A.; Nowak-Flück, D.; Stacey, B.S.; Bailey, D.M.; Paton, J.F.R.; Green, D.J.; Sekhon, M.S.; Macleod, D.B.; et al. Nitric oxide is fundamental to neurovascular coupling in humans. J. Physiol. 2020, 598, 4927–4939. [Google Scholar] [CrossRef]
  48. Iadecola, C. The neurovascular unit coming of age: A journey through neurovascular coupling in health and disease. Neuron 2017, 96, 17–42. [Google Scholar] [CrossRef] [Green Version]
  49. Madsen, P.L.; Hasselbalch, S.G.; Hagemann, L.P.; Olsen, K.S.; Bülow, J.; Holm, S.; Wildschiødtz, G.; Paulson, O.B.; Lassen, N.A. Persistent resetting of the cerebral oxygen/glucose uptake ratio by brain activation: Evidence obtained with the Kety—Schmidt technique. J. Cereb. Blood Flow Metab. 1995, 15, 485–491. [Google Scholar] [CrossRef] [Green Version]
  50. Fox, P.T.; Raichle, M.E.; Mintun, M.A.; Dence, C. Nonoxidative glucose consumption during focal physiologic neural activity. Science 1988, 241, 462–464. [Google Scholar] [CrossRef]
  51. Willie, C.K.; Cowan, E.C.; Ainslie, P.N.; Taylor, C.E.; Smith, K.J.; Sin, P.Y.W.; Tzeng, Y.C. Neurovascular coupling and distribution of cerebral blood flow during exercise. J. Neurosci. Methods 2011, 198, 270–273. [Google Scholar] [CrossRef]
  52. Rupp, T.; Perrey, S. Prefrontal cortex oxygenation and neuromuscular responses to exhaustive exercise. Eur. J. Appl. Physiol. 2007, 102, 153–163. [Google Scholar] [CrossRef]
  53. Subudhi, A.W.; Lorenz, M.C.; Fulco, C.S.; Roach, R.C. Cerebrovascular responses to incremental exercise during hypobaric hypoxia: Effect of oxygenation on maximal performance. Am. J. Physiol. Circ. Physiol. 2008, 294, H164–H171. [Google Scholar] [CrossRef]
  54. Vogiatzis, I.; Louvaris, Z.; Habazettl, H.; Athanasopoulos, D.; Andrianopoulos, V.; Cherouveim, E.; Wagner, H.; Roussos, C.; Wagner, P.D.; Zakynthinos, S. Frontal cerebral cortex blood flow, oxygen delivery and oxygenation during normoxic and hypoxic exercise in athletes. J. Physiol. 2011, 589, 4027–4039. [Google Scholar] [CrossRef] [PubMed]
  55. Willie, C.K.; Tzeng, Y.C.; Fisher, J.A.; Ainslie, P.N. Integrative regulation of human brain blood flow. J. Physiol. 2014, 592, 841–859. [Google Scholar] [CrossRef] [PubMed]
  56. Smith, K.J.; Ainslie, P.N. Regulation of cerebral blood flow and metabolism during exercise. Exp. Physiol. 2017, 102, 1356–1371. [Google Scholar] [CrossRef] [Green Version]
  57. Jorgensen, L.G.; Perko, G.; Secher, N.H. Regional cerebral artery mean flow velocity and blood flow during dynamic exercise in humans. J. Appl. Physiol. 1992, 73, 1825–1830. [Google Scholar] [CrossRef] [PubMed]
  58. Caldwell, H.G.; Coombs, G.B.; Howe, C.A.; Hoiland, R.L.; Patrician, A.; Lucas, S.J.E.; Ainslie, P.N. Evidence for temperature-mediated regional increases in cerebral blood flow during exercise. J. Physiol. 2020, 598, 1459–1473. [Google Scholar] [CrossRef] [PubMed]
  59. Nelson, M.D.; Haykowsky, M.J.; Stickland, M.K.; Altamirano-Diaz, L.A.; Willie, C.K.; Smith, K.J.; Petersen, S.R.; Ainslie, P.N. Reductions in cerebral blood flow during passive heat stress in humans: Partitioning the mechanisms. J. Physiol. 2011, 589, 4053–4064. [Google Scholar] [CrossRef] [PubMed]
  60. Bain, A.R.; Smith, K.J.; Lewis, N.C.; Foster, G.E.; Wildfong, K.W.; Willie, C.K.; Hartley, G.L.; Cheung, S.S.; Ainslie, P.N. Regional changes in brain blood flow during severe passive hyperthermia: Effects of PaCO2 and extracranial blood flow. J. Appl. Physiol. 2013, 115, 653–659. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Ogoh, S.; Sato, K.; Okazaki, K.; Miyamoto, T.; Hirasawa, A.; Morimoto, K.; Shibasaki, M. Blood flow distribution during heat stress: Cerebral and systemic blood flow. J. Cereb. Blood Flow Metab. 2013, 33, 1915–1920. [Google Scholar] [CrossRef] [Green Version]
  62. Rasmussen, P.; Nybo, L.; Volianitis, S.; Møller, K.; Secher, N.H.; Gjedde, A. Cerebral oxygenation is reduced during hyperthermic exercise in humans. Acta Physiol. 2010, 199, 63–70. [Google Scholar] [CrossRef]
  63. Rasmussen, P.; Dawson, E.A.; Nybo, L.; van Lieshout, J.J.; Secher, N.H.; Gjedde, A. Capillary-oxygenation-level-dependent near-infrared spectrometry in frontal lobe of humans. J. Cereb. Blood Flow Metab. 2007, 27, 1082–1093. [Google Scholar] [CrossRef] [Green Version]
  64. Mortensen, S.P.; Damsgaard, R.; Dawson, E.A.; Secher, N.H.; González-Alonso, J. Restrictions in systemic and locomotor skeletal muscle perfusion, oxygen supply and VO2 during high-intensity whole-body exercise in humans. J. Physiol. 2008, 586, 2621–2635. [Google Scholar] [CrossRef]
  65. González-alonso, J.; Mortensen, S.P.; Jeppesen, T.D.; Ali, L.; Barker, H.; Damsgaard, R.; Secher, N.H.; Dawson, E.A.; Dufour, S.P. Haemodynamic responses to exercise, ATP infusion and thigh compression in humans: Insight into the role of muscle mechanisms on cardiovascular function. J. Physiol. 2008, 586, 2405–2417. [Google Scholar] [CrossRef]
  66. González-Alonso, J.; Teller, C.; Andersen, S.L.; Jensen, F.B.; Hyldig, T.; Nielsen, B. Influence of body temperature on the development of fatigue during prolonged exercise in the heat. J. Appl. Physiol. 1999, 86, 1032–1039. [Google Scholar] [CrossRef] [Green Version]
  67. Nybo, L.; Jensen, T.; Nielsen, B.; González-Alonso, J. Effects of marked hyperthermia with and without dehydration on VO2 kinetics during intense exercise. J. Appl. Physiol. 2001, 90, 1057–1064. [Google Scholar] [CrossRef] [Green Version]
  68. Nybo, L.; González-Alonso, J. Critical core temperature: A hypothesis too simplistic to explain hyperthermia-induced fatigue. Scand. J. Med. Sci. Sports 2015, 25, 4–5. [Google Scholar] [CrossRef] [Green Version]
  69. Nybo, L.; Secher, N.H.; Nielsen, B. Inadequate heat release from the human brain during prolonged exercise with hyperthermia. J. Physiol. 2002, 545, 697–704. [Google Scholar] [CrossRef]
  70. Yablonskiy, D.A.; Ackerman, J.J.H.; Raichle, M.E. Coupling between changes in human brain temperature and oxidative metabolism during prolonged visual stimulation. Proc. Natl. Acad. Sci. USA 2000, 97, 7603–7608. [Google Scholar] [CrossRef] [Green Version]
  71. Nielsen, B.; Hyldig, T.; Bidstrup, F.; González-Alonso, J.; Christoffersen, G.R.J. Brain activity and fatigue during prolonged exercise in the heat. Pflügers Arch. 2001, 442, 41–48. [Google Scholar] [CrossRef]
  72. Rasmussen, P.; Stie, H.; Nybo, L.; Nielsen, B. Heat induced fatigue and changes of the EEG is not related to reduced perfusion of the brain during prolonged exercise in humans. J. Therm. Biol. 2004, 29, 731–737. [Google Scholar] [CrossRef]
  73. Périard, J.D.; De Pauw, K.; Zanow, F.; Racinais, S. Cerebrocortical activity during self-paced exercise in temperate, hot and hypoxic conditions. Acta Physiol. 2018, 222, e12916. [Google Scholar] [CrossRef]
  74. Périard, J.D.; Christian, R.J.; Knez, W.L.; Racinais, S. Voluntary muscle and motor cortical activation during progressive exercise and passively induced hyperthermia. Exp. Physiol. 2014, 99, 136–148. [Google Scholar] [CrossRef] [PubMed]
  75. De Pauw, K.; Roelands, B.; Marušič, U.; Tellez, H.F.; Knaepen, K.; Meeusen, R. Brain mapping after prolonged cycling and during recovery in the heat. J. Appl. Physiol. 2013, 115, 1324–1331. [Google Scholar] [CrossRef] [Green Version]
  76. Racinais, S.; Gaoua, N.; Grantham, J. Hyperthermia impairs short-term memory and peripheral motor drive transmission. J. Physiol. 2008, 586, 4751–4762. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Goodall, S.; González-Alonso, J.; Ali, L.; Ross, E.Z.; Romer, L.M. Supraspinal fatigue after normoxic and hypoxic exercise in humans. J. Physiol. 2012, 590, 2767–2782. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Goodall, S.; Charlton, K.; Hignett, C.; Prichard, J.; Barwood, M.; Howatson, G.; Thomas, K. Augmented supraspinal fatigue following constant-load cycling in the heat. Scand. J. Med. Sci. Sports 2015, 25, 164–172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Racinais, S.; Buchheit, M.; Girard, O. Breakpoints in ventilation, cerebral and muscle oxygenation, and muscle activity during an incremental cycling exercise. Front. Physiol. 2014, 5, 142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Hunter, A.; St Clair Gibson, A.; Mbambo, Z.; Lambert, M.; Noakes, T. The effects of heat stress on neuromuscular activity during endurance exercise. Pflügers Arch. Eur. J. Physiol. 2002, 444, 738–743. [Google Scholar] [CrossRef] [Green Version]
  81. Forster, H.V.; Pan, L.G.; Funahashi, A. Temporal pattern of arterial CO2 partial pressure during exercise in humans. J. Appl. Physiol. 1986, 60, 653–660. [Google Scholar] [CrossRef]
  82. Wasserman, K.; Van Kessel, A.L.; Burton, G.G. Interaction of physiological mechanisms during exercise. J. Appl. Physiol. 1967, 22, 71–85. [Google Scholar] [CrossRef]
  83. Dempsey, J.A.; Hanson, P.G.; Henderson, K.S. Exercise-induced arterial hypoxaemia in healthy human subjects at sea level. J. Physiol. 1984, 355, 161–175. [Google Scholar] [CrossRef]
  84. Nielsen, H.B.; Madsen, P.; Svendsen, L.B.; Roach, R.C.; Secher, N.H. The influence of PaO2, pH and SaO2 on maximal oxygen uptake. Acta Physiol. Scand. 1998, 164, 89–97. [Google Scholar] [CrossRef]
  85. Dominelli, P.B.; Foster, G.E.; Dominelli, G.S.; Henderson, W.R.; Koehle, M.S.; McKenzie, D.C.; Sheel, A.W. Exercise-induced arterial hypoxaemia and the mechanics of breathing in healthy young women. J. Physiol. 2013, 591, 3017–3034. [Google Scholar] [CrossRef]
  86. Durand, F.; Mucci, P.; Préfaut, C. Evidence for an inadequate hyperventilation inducing arterial hypoxemia at submaximal exercise in all highly trained endurance athletes. Med. Sci. Sports Exerc. 2000, 32, 926–932. [Google Scholar] [CrossRef]
  87. Hopkins, S.R.; McKenzie, D.C.; Schoene, R.B.; Glenny, R.W.; Robertson, H.T. Pulmonary gas exchange during exercise in athletes. I. Ventilation-perfusion mismatch and diffusion limitation. J. Appl. Physiol. 1994, 77, 912–917. [Google Scholar] [CrossRef]
  88. Wagner, P.D.; Gale, G.E.; Moon, R.E.; Torre-Bueno, J.R.; Stolp, B.W.; Saltzman, H.A. Pulmonary gas exchange in humans exercising at sea level and simulated altitude. J. Appl. Physiol. 1986, 61, 260–270. [Google Scholar] [CrossRef]
  89. Marshall, H.; Gibson, O.R.; Romer, L.M.; Illidi, C.; Hull, J.H.; Kippelen, P. Systemic but not local rehydration restores dehydration-induced changes in pulmonary function in healthy adults. J. Appl. Physiol. 2021, 130, 517–527. [Google Scholar] [CrossRef]
  90. Govindaraj, M. The effect of dehydration on the ventilatory capacity in normal subjects. Am. Rev. Respir. Dis. 1972, 105, 842–844. [Google Scholar] [CrossRef]
  91. Tipton, M.J.; Kadinopoulos, P.; de Sa, D.R.; Barwood, M.J. Changes in lung function during exercise are independently mediated by increases in deep body temperature. BMJ Open Sport Exerc. Med. 2017, 3, e000210. [Google Scholar] [CrossRef] [Green Version]
  92. Haldane, J.S. The influence of high air temperatures No. I. J. Hyg. 1905, 5, 494–513. [Google Scholar] [CrossRef]
  93. Cabanac, M.; White, M.D. Core temperature thresholds for hyperpnea during passive hyperthermia in humans. Eur. J. Appl. Physiol. Occup. Physiol. 1995, 71, 71–76. [Google Scholar] [CrossRef]
  94. Fujii, N.; Honda, Y.; Hayashi, K.; Soya, H.; Kondo, N.; Nishiyasu, T. Comparison of hyperthermic hyperpnea elicited during rest and submaximal, moderate-intensity exercise. J. Appl. Physiol. 2008, 104, 998–1005. [Google Scholar] [CrossRef] [PubMed]
  95. Tsuji, B.; Honda, Y.; Fujii, N.; Kondo, N.; Nishiyasu, T. Comparison of hyperthermic hyperventilation during passive heating and prolonged light and moderate exercise in the heat. J. Appl. Physiol. 2012, 113, 1388–1397. [Google Scholar] [CrossRef] [Green Version]
  96. Gibbons, T.D.; Ainslie, P.N.; Thomas, K.N.; Wilson, L.C.; Akerman, A.P.; Donnelly, J.; Campbell, H.A.; Cotter, J.D. Influence of the mode of heating on cerebral blood flow, non-invasive intracranial pressure and thermal tolerance in humans. J. Physiol. 2021, 599, 1977–1996. [Google Scholar] [CrossRef] [PubMed]
  97. Cotes, J.E. The role of body temperature in controlling ventilation during exercise in one normal subject breathing oxygen. J. Physiol. 1955, 129, 554–563. [Google Scholar] [CrossRef] [PubMed]
  98. Chu, A.L.; Jay, O.; White, M.D. The effects of hyperthermia and hypoxia on ventilation during low-intensity steady-state exercise. Am. J. Physiol. Integr. Comp. Physiol. 2007, 292, R195–R203. [Google Scholar] [CrossRef]
  99. White, M.D.; Cabanac, M. Exercise hyperpnea and hyperthermia in humans. J. Appl. Physiol. 1996, 81, 1249–1254. [Google Scholar] [CrossRef]
  100. White, M.D.; Cabanac, M. Core temperature thresholds for ventilation during exercise. In Modeling and Control of Ventilation; Semple, S.J.G., Adams, L., Brian, B.J., Eds.; Plenum Press: New York, NY, USA, 1995; pp. 173–177. [Google Scholar]
  101. Gaudio, R.; Abramson, N. Heat-induced hyperventilation. J. Appl. Physiol. 1968, 25, 742–746. [Google Scholar] [CrossRef]
  102. Hayashi, K.; Honda, Y.; Ogawa, T.; Kondo, N.; Nishiyasu, T. Relationship between ventilatory response and body temperature during prolonged submaximal exercise. J. Appl. Physiol. 2006, 100, 414–420. [Google Scholar] [CrossRef]
  103. Tsuji, B.; Hayashi, K.; Kondo, N.; Nishiyasu, T. Characteristics of hyperthermia-induced hyperventilation in humans. Temperature 2016, 3, 146–160. [Google Scholar] [CrossRef] [Green Version]
  104. White, M.D. Components and mechanisms of thermal hyperpnea. J. Appl. Physiol. 2006, 101, 655–663. [Google Scholar] [CrossRef]
  105. Hanson, R.d.G. Respiratory heat loss at increased core temperature. J. Appl. Physiol. 1974, 37, 103–107. [Google Scholar] [CrossRef]
  106. Rasch, W.; Samson, P.; Cote, J.; Cabanac, M. Heat loss from the human head during exercise. J. Appl. Physiol. 1991, 71, 590–595. [Google Scholar] [CrossRef]
  107. White, M.D.; Greiner, J.G.; McDonald, P.L.L. Point: Humans do demonstrate selective brain cooling during hyperthermia. J. Appl. Physiol. 2011, 110, 569–571. [Google Scholar] [CrossRef]
  108. Nybo, L.; Secher, N.H. Counterpoint: Humans do not demonstrate selective brain cooling during hyperthermia. J. Appl. Physiol. 2011, 110, 571–573. [Google Scholar] [CrossRef]
  109. Kety, S.S.; Polis, B.D. The blood flow and oxygen consumption of the human brain in diabetic acidosis and coma. J. Clin. Investig. 1948, 27, 500–510. [Google Scholar] [CrossRef]
  110. Brothers, R.M.; Wingo, J.E.; Hubing, K.A.; Crandall, C.G. The effects of reduced end-tidal carbon dioxide tension on cerebral blood flow during heat stress. J. Physiol. 2009, 587, 3921–3927. [Google Scholar] [CrossRef]
  111. Fujii, N.; Honda, Y.; Hayashi, K.; Kondo, N.; Koga, S.; Nishiyasu, T. Effects of chemoreflexes on hyperthermic hyperventilation and cerebral blood velocity in resting heated humans. Exp. Physiol. 2008, 93, 994–1001. [Google Scholar] [CrossRef]
  112. Johnson, B.D.; Babcock, M.A.; Suman, O.E.; Dempsey, J.A. Exercise-induced diaphragmatic fatigue in healthy humans. J. Physiol. 1993, 460, 385–405. [Google Scholar] [CrossRef]
  113. Taylor, B.J.; How, S.C.; Romer, L.M. Exercise-induced abdominal muscle fatigue in healthy humans. J. Appl. Physiol. 2006, 100, 1554–1562. [Google Scholar] [CrossRef]
  114. Dempsey, J.A.; Romer, L.; Rodman, J.; Miller, J.; Smith, C. Consequences of exercise-induced respiratory muscle work. Respir. Physiol. Neurobiol. 2006, 151, 242–250. [Google Scholar] [CrossRef]
  115. Ichinose, M.; Saito, M.; Fujii, N.; Ogawa, T.; Hayashi, K.; Kondo, N.; Nishiyasu, T. Modulation of the control of muscle sympathetic nerve activity during incremental leg cycling. J. Physiol. 2008, 586, 2753–2766. [Google Scholar] [CrossRef]
  116. Rosenmeier, J.B.; Hansen, J.; González-Alonso, J. Circulating ATP-induced vasodilatation overrides sympathetic vasoconstrictor activity in human skeletal muscle. J. Physiol. 2004, 558, 351–365. [Google Scholar] [CrossRef] [Green Version]
  117. Calbet, J.A.L.; González-Alonso, J.; Helge, J.W.; Søndergaard, H.; Munch-Andersen, T.; Boushel, R.; Saltin, B. Cardiac output and leg and arm blood flow during incremental exercise to exhaustion on the cycle ergometer. J. Appl. Physiol. 2007, 103, 969–978. [Google Scholar] [CrossRef]
  118. Harms, C.A.; Babcock, M.A.; McClaran, S.R.; Pegelow, D.F.; Nickele, G.A.; Nelson, W.B.; Dempsey, J.A. Respiratory muscle work compromises leg blood flow during maximal exercise. J. Appl. Physiol. 1997, 82, 1573–1583. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  119. Harms, C.A.; Wetter, T.J.; St. Croix, C.M.; Pegelow, D.F.; Dempsey, J.A. Effects of respiratory muscle work on exercise performance. J. Appl. Physiol. 2000, 89, 131–138. [Google Scholar] [CrossRef]
  120. Dominelli, P.B.; Archiza, B.; Ramsook, A.H.; Mitchell, R.A.; Peters, C.M.; Molgat-Seon, Y.; Henderson, W.R.; Koehle, M.S.; Boushel, R.; Sheel, A.W. Effects of respiratory muscle work on respiratory and locomotor blood flow during exercise. Exp. Physiol. 2017, 102, 1535–1547. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  121. Harms, C.A.; Wetter, T.J.; McClaran, S.R.; Pegelow, D.F.; Nickele, G.A.; Nelson, W.B.; Hanson, P.; Dempsey, J.A. Effects of respiratory muscle work on cardiac output and its distribution during maximal exercise. J. Appl. Physiol. 1998, 85, 609–618. [Google Scholar] [CrossRef]
  122. Aaron, E.A.; Johnson, B.D.; Seow, C.K.; Dempsey, J.A. Oxygen cost of exercise hyperpnea: Measurement. J. Appl. Physiol. 1992, 72, 1810–1817. [Google Scholar] [CrossRef] [PubMed]
  123. Dominelli, P.B.; Render, J.N.; Molgat-Seon, Y.; Foster, G.E.; Romer, L.M.; Sheel, A.W. Oxygen cost of exercise hyperpnoea is greater in women compared with men. J. Physiol. 2015, 593, 1965–1979. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Vogiatzis, I.; Athanasopoulos, D.; Habazettl, H.; Kuebler, W.M.; Wagner, H.; Roussos, C.; Wagner, P.D.; Zakynthinos, S. Intercostal muscle blood flow limitation in athletes during maximal exercise. J. Physiol. 2009, 587, 3665–3677. [Google Scholar] [CrossRef] [PubMed]
  125. Munch, G.D.W.; Svendsen, J.H.; Damsgaard, R.; Secher, N.H.; González-Alonso, J.; Mortensen, S.P. Maximal heart rate does not limit cardiovascular capacity in healthy humans: Insight from right atrial pacing during maximal exercise. J. Physiol. 2014, 592, 377–390. [Google Scholar] [CrossRef]
  126. Parkes, M.J. Reappraisal of systemic venous chemoreceptors: Might they explain the matching of breathing to metabolic rate in humans? Exp. Physiol. 2017, 102, 1567–1583. [Google Scholar] [CrossRef]
  127. Parkes, M.J. Evaluating the importance of the carotid chemoreceptors in controlling breathing during exercise in man. Biomed. Res. Int. 2013, 2013, 893506. [Google Scholar] [CrossRef]
  128. Forster, H.V.; Haouzi, P.; Dempsey, J.A. Control of breathing during exercise. Compr. Physiol. 2012, 2, 743–777. [Google Scholar] [CrossRef]
  129. Paterson, D.J. Defining the neurocircuitry of exercise hyperpnoea. J. Physiol. 2014, 592, 433–444. [Google Scholar] [CrossRef]
  130. Amann, M.; Blain, G.M.; Proctor, L.T.; Sebranek, J.J.; Pegelow, D.F.; Dempsey, J.A. Group III and IV muscle afferents contribute to ventilatory and cardiovascular response to rhythmic exercise in humans. J. Appl. Physiol. 2010, 109, 966–976. [Google Scholar] [CrossRef] [Green Version]
  131. Bruce, R.M.; Jolley, C.; White, M.J. Control of exercise hyperpnoea: Contributions from thin-fibre skeletal muscle afferents. Exp. Physiol. 2019, 104, 1605–1621. [Google Scholar] [CrossRef]
  132. Fujii, N.; Kashihara, M.; Kenny, G.P.; Honda, Y.; Fujimoto, T.; Cao, Y.; Nishiyasu, T. Carotid chemoreceptors have a limited role in mediating the hyperthermia-induced hyperventilation in exercising humans. J. Appl. Physiol. 2019, 126, 305–313. [Google Scholar] [CrossRef]
  133. Tsuji, B.; Honda, Y.; Ikebe, Y.; Fujii, N.; Kondo, N.; Nishiyasu, T. Voluntary suppression of hyperthermia-induced hyperventilation mitigates the reduction in cerebral blood flow velocity during exercise in the heat. Am. J. Physiol. Integr. Comp. Physiol. 2015, 308, R669–R679. [Google Scholar] [CrossRef]
  134. Tryba, A.K.; Ramirez, J.-M. Response of the respiratory network of mice to hyperthermia. J. Neurophysiol. 2003, 89, 2975–2983. [Google Scholar] [CrossRef]
  135. Asmussen, E.; Johansen, S.H.; Jørgensen, M.; Nielsen, M. On the nervous factors controlling respiration and circulation during exercise experiments with curarization. Acta Physiol. Scand. 1965, 63, 343–350. [Google Scholar] [CrossRef]
  136. Kumazawa, T.; Mizumura, K. Thin-fibre receptors responding to mechanical, chemical, and thermal stimulation in the skeletal muscle of the dog. J. Physiol. 1977, 273, 179–194. [Google Scholar] [CrossRef] [PubMed]
  137. Hertel, H.-C.; Howaldt, B.; Mense, S. Responses of group IV and group III muscle afferents to thermal stimuli. Brain Res. 1976, 113, 201–205. [Google Scholar] [CrossRef]
  138. Rowell, L.B. Human Circulation: Regulation During Physical Stress; Oxford University Press: Oxford, UK, 1986. [Google Scholar]
  139. Åstrand, P.-O.; Cuddy, T.E.; Saltin, B.; Stenberg, J. Cardiac output during submaximal and maximal work. J. Appl. Physiol. 1964, 19, 268–274. [Google Scholar] [CrossRef] [PubMed]
  140. Grimby, G.; Nilsson, N.J.; Saltin, B. Cardiac output during submaximal and maximal exercise in active middle-aged athletes. J. Appl. Physiol. 1966, 21, 1150–1156. [Google Scholar] [CrossRef] [PubMed]
  141. Richardson, R.S.; Noyszewski, E.A.; Kendrick, K.F.; Leigh, J.S.; Wagner, P.D. Myoglobin O2 desaturation during exercise. Evidence of limited O2 transports. J. Clin. Investig. 1995, 96, 1916–1926. [Google Scholar] [CrossRef] [Green Version]
  142. Hill, A.V.; Long, C.N.H.; Lupton, H. Muscular exercise, lactic acid and the supply and utilisation of oxygen.—Parts VII–VIII. Proc. R. Soc. London. Ser. B Contain. Pap. Biol. Character 1924, 97, 155–176. [Google Scholar] [CrossRef]
  143. Åstrand, P.-O.; Saltin, B. Maximal oxygen uptake and heart rate in various types of muscular activity. J. Appl. Physiol. 1961, 16, 977–981. [Google Scholar] [CrossRef]
  144. Beck, K.C.; Randolph, L.N.; Bailey, K.R.; Wood, C.M.; Snyder, E.M.; Johnson, B.D. Relationship between cardiac output and oxygen consumption during upright cycle exercise in healthy humans. J. Appl. Physiol. 2006, 101, 1474–1480. [Google Scholar] [CrossRef]
  145. Stöhr, E.J.; González-Alonso, J.; Shave, R. Left ventricular mechanical limitations to stroke volume in healthy humans during incremental exercise. Am. J. Physiol. Circ. Physiol. 2011, 301, H478–H487. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Holmgren, A. Circulatory changes during muscular work in man; with special reference to arterial and central venous pressures in the systemic circulation. Scand. J. Clin. Lab. Investig. 1956, 8 (Suppl. 24), 1–97. [Google Scholar]
  147. Knight, D.R.; Poole, D.C.; Schaffartzik, W.; Guy, H.J.; Prediletto, R.; Hogan, M.C.; Wagner, P.D. Relationship between body and leg VO2 during maximal cycle ergometry. J. Appl. Physiol. 1992, 73, 1114–1121. [Google Scholar] [CrossRef] [PubMed]
  148. Pokan, R.; Von Duvillard, S.P.; Hofmann, P.; Smekal, G.; Fruhwald, F.M.; Gasser, R.; Tscha, H.; Baron, R.; Schmid, P.; Bachl, N. Change in left atrial and ventricular dimensions during and immediately after exercise. Med. Sci. Sports Exerc. 2000, 32, 1713–1718. [Google Scholar] [CrossRef] [PubMed]
  149. Pokan, R.; Hofmann, P.; Von Duvillard, S.P.; BeaufortT, F.; Schumacher, M.; Frauhwald, F.M.; Zweiker, R.; Eber, B.; Gasser, R.; Brandt, D.; et al. Left ventricular function in response to the transition from aerobic to anaerobic metabolism. Med. Sci. Sports Exerc. 1997, 29, 1040–1047. [Google Scholar] [CrossRef]
  150. González-Alonso, J.; Calbet, J.A.L. Reductions in systemic and skeletal muscle blood flow and oxygen delivery limit maximal aerobic capacity in humans. Circulation 2003, 107, 824–830. [Google Scholar] [CrossRef] [Green Version]
  151. Rowell, L.B.; Marx, H.J.; Bruce, R.A.; Conn, R.D.; Kusumi, F. Reductions in cardiac output, central blood volume, and stroke volume with thermal stress in normal men during exercise. J. Clin. Investig. 1966, 45, 1801–1816. [Google Scholar] [CrossRef] [Green Version]
  152. Brengelmann, G.L.; Johnson, J.M.; Hermansen, L.; Rowell, L.B. Altered control of skin blood flow during exercise at high internal temperatures. J. Appl. Physiol. Respir. Environ. Exerc. Physiol. 1977, 43, 790–794. [Google Scholar] [CrossRef]
  153. Kellogg, D.L.; Johnson, J.M.; Kenney, W.L.; Pergola, P.E.; Kosiba, W.A. Mechanisms of control of skin blood flow during prolonged exercise in humans. Am. J. Physiol. Circ. Physiol. 1993, 265, H562–H568. [Google Scholar] [CrossRef]
  154. Kenney, W.L.; Zappe, D.H.; Tankersley, C.G.; Derr, J.A. Effect of systemic yohimbine on the control of skin blood flow during local heating and dynamic exercise. Am. J. Physiol. Circ. Physiol. 1994, 266, H371–H376. [Google Scholar] [CrossRef]
  155. Savard, G.K.; Nielsen, B.; Laszczynska, J.; Larsen, B.E.; Saltin, B. Muscle blood flow is not reduced in humans during moderate exercise and heat stress. J. Appl. Physiol. 1988, 64, 649–657. [Google Scholar] [CrossRef]
  156. Nielsen, B.; Savard, G.; Richter, E.A.; Hargreaves, M.; Saltin, B. Muscle blood flow and muscle metabolism during exercise and heat stress. J. Appl. Physiol. 1990, 69, 1040–1046. [Google Scholar] [CrossRef]
  157. González-Alonso, J.; Mora-Rodríguez, R.; Coyle, E.F. Stroke volume during exercise: Interaction of environment and hydration. Am. J. Physiol. Heart Circ. Physiol. 2000, 278, 321–330. [Google Scholar] [CrossRef] [Green Version]
  158. Pearson, J.; Low, D.A.; Stöhr, E.; Kalsi, K.; Ali, L.; Barker, H.; González-Alonso, J. Hemodynamic responses to heat stress in the resting and exercising human leg: Insight into the effect of temperature on skeletal muscle blood flow. Am. J. Physiol. Integr. Comp. Physiol. 2011, 300, R663–R673. [Google Scholar] [CrossRef] [Green Version]
  159. Pitts, G.C.; Johnson, R.E.; Consolazio, F.C. Work in the heat as affected by intake of water, salt and glucose. Am. J. Physiol. Content 1944, 142, 253–259. [Google Scholar] [CrossRef] [Green Version]
  160. Ladell, W.S.S. The effects of water and salt intake upon the performance of men working in hot and humid environments. J. Physiol. 1955, 127, 11–46. [Google Scholar] [CrossRef] [Green Version]
  161. Hamilton, M.T.; González-Alonso, J.; Montain, S.J.; Coyle, E.F. Fluid replacement and glucose infusion during exercise prevent cardiovascular drift. J. Appl. Physiol. 1991, 71, 871–877. [Google Scholar] [CrossRef] [Green Version]
  162. González-Alonso, J.; Mora-Rodriguez, R.; Below, P.R.; Coyle, E.F. Dehydration reduces cardiac output and increases systemic and cutaneous vascular resistance during exercise. J. Appl. Physiol. 1995, 79, 1487–1496. [Google Scholar] [CrossRef]
  163. González-Alonso, J. Separate and combined influences of dehydration and hyperthermia on cardiovascular responses to exercise. Int. J. Sports Med. 1998, 19, 6–9. [Google Scholar] [CrossRef]
  164. Sawka, M.N.; Knowlton, R.G.; Critz, J.B. Thermal and circulatory responses to repeated bouts of prolonged running. Med. Sci. Sports Exerc. 1979, 11, 177–180. [Google Scholar]
  165. Sawka, M.N.; Young, A.J.; Francesconi, P.; Muza, S.R.; Pandolf, K.B. Thermoregulatory and blood responses during exercise at graded hypohydration levels. J. Appl. Physiol. 1985, 59, 1394–1401. [Google Scholar] [CrossRef]
  166. Arngrimsson, S.; Petitt, D.; Borrani, F.; Skinner, K.; Cureton, K. Hyperthermia and maximal oxygen uptake in men and women. Eur. J. Appl. Physiol. 2004, 92. [Google Scholar] [CrossRef] [PubMed]
  167. Stöhr, E.J.; González-Alonso, J.; Pearson, J.; Low, D.A.; Ali, L.; Barke, H.; Shave, R. Dehydration reduces left ventricular filling at rest and during exercise independent of twist mechanics. J. Appl. Physiol. 2011, 111, 891–897. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Pearson, J.; Kalsi, K.K.; Stöhr, E.J.; Low, D.A.; Barker, H.; Ali, L.; González-Alonso, J. Haemodynamic responses to dehydration in the resting and exercising human leg. Eur. J. Appl. Physiol. 2013, 113, 1499–1509. [Google Scholar] [CrossRef] [PubMed]
  169. Kenefick, R.W.; Mahood, N.V.; Hazzard, M.P.; Quinn, T.J.; Castellani, J.W. Hypohydration effects on thermoregulation during moderate exercise in the cold. Eur. J. Appl. Physiol. 2004, 92, 565–570. [Google Scholar] [CrossRef] [Green Version]
  170. Montain, S.J.; Coyle, E.F. Influence of graded dehydration on hyperthermia and cardiovascular drift during exercise. J. Appl. Physiol. 1992, 73, 1340–1350. [Google Scholar] [CrossRef]
  171. Saltin, B. Aerobic and anaerobic work capacity after dehydration. J. Appl. Physiol. 1964, 19, 1114–1118. [Google Scholar] [CrossRef]
  172. Buskirk, E.R.; Iampietro, P.F.; Bass, D.E. Work performance after dehydration: Effects of physical conditioning and heat acclimatization. J. Appl. Physiol. 1958, 12, 189–194. [Google Scholar] [CrossRef]
  173. Patterson, S.W.; Starling, E.H. On the mechanical factors which determine the output of the ventricles. J. Physiol. 1914, 48, 357–379. [Google Scholar] [CrossRef]
  174. Rowell, L.B.; Blackmon, J.R.; Bruce, R.A. Indocyanine green clearance and estimated hepatic blood Flow during mild to maximal exercise in upright man. J. Clin. Investig. 1964, 43, 1677–1690. [Google Scholar] [CrossRef] [Green Version]
  175. Rowell, L.B.; Blackmon, J.R.; Martin, R.H.; Mazzarella, J.A.; Bruce, R.A. Hepatic clearance of indocyanine green in man under thermal and exercise stresses. J. Appl. Physiol. 1965, 20, 384–394. [Google Scholar] [CrossRef]
  176. White, H.L.; Rolf, D. Effects of exercise and some other influences on the renal circulation in man. Am. J. Physiol. Content 1948, 152, 505–516. [Google Scholar] [CrossRef] [Green Version]
  177. Chapman, C.B.; Henschel, A.; Minckler, J.; Forsgren, A.; Keys, A. The effect of exercise on renal plasma flow in normal male subjects. J. Clin. Investig. 1948, 27, 639–644. [Google Scholar] [CrossRef]
  178. Grimby, G. Renal clearances during prolonged supine exercise at different loads. J. Appl. Physiol. 1965, 20, 1294–1298. [Google Scholar] [CrossRef]
  179. Levy, M.N. The cardiac and vascular factors that determine systemic blood flow. Circ. Res. 1979, 44, 739–747. [Google Scholar] [CrossRef] [Green Version]
  180. Guyton, A.C.; Lindsey, A.W.; Kaufmann, B.N. Effect of mean circulatory filling pressure and other peripheral circulatory factors on cardiac output. Am. J. Physiol. Content 1955, 180, 463–468. [Google Scholar] [CrossRef] [Green Version]
  181. Guyton, A.C.; Lindsey, A.W.; Abernathy, B.; Richardson, T. Venous return at various right atrial pressures and the normal venous return curve. Am. J. Physiol. Content 1957, 189, 609–615. [Google Scholar] [CrossRef] [Green Version]
  182. Rowell, L.B.; O’Leary, D.S.; Kellogg, D.L. Section 12: Exercise: Regulation and integration of multiple systems. In Handbook of Physiology; Rowell, L.B., Shepherd, J.T., Eds.; Oxford University Press: New York, NY, USA, 1996; pp. 770–840. [Google Scholar]
  183. Sheriff, D.D.; Zhou, X.P.; Scher, A.M.; Rowell, L.B. Dependence of cardiac filling pressure on cardiac output during rest and dynamic exercise in dogs. Am. J. Physiol. Circ. Physiol. 1993, 265, H316–H322. [Google Scholar] [CrossRef]
  184. Notarius, C.F.; Magder, S. Central venous pressure during exercise: Role of muscle pump. Can. J. Physiol. Pharmacol. 1996, 74, 647–651. [Google Scholar] [CrossRef]
  185. Sonnenblick, E.H.; Braunwald, E.; Williams, J.F.; Glick, G. Effects of exercise on myocardial force-velocity relations in intact unanesthetized man: Relative roles of changes in heart rate, sympathetic activity, and ventricular dimensions. J. Clin. Investig. 1965, 44, 2051–2062. [Google Scholar] [CrossRef]
  186. Heiss, H.W.; Barmeyer, J.; Wink, K.; Hell, G.; Cerny, F.J.; Keul, J.; Reindell, H. Studies on the regulation of myocardial blood flow in man. Basic Res. Cardiol. 1976, 71, 658–675. [Google Scholar] [CrossRef]
  187. Jørgensen, C.R.; Gobel, F.L.; Taylor, H.L.; Wang, Y. Myocardial blood flow and oxygen consumption during exercise. Ann. N. Y. Acad. Sci. 1977, 301, 213–223. [Google Scholar] [CrossRef] [PubMed]
  188. Ekström-Jodal, B.; Häggendal, E.; Malmberg, R.; Svedmyr, N. The effect of adrenergic β-receptor blockade on coronary circulation in man during work. Acta Med. Scand. 1972, 191, 245–248. [Google Scholar] [CrossRef] [PubMed]
  189. Jorgensen, C.R.; Wang, K.; Wang, Y.; Gobel, F.L.; Nelson, R.R.; TAaylor, H.; Gams, F.R.; Vilandre, J.E. Effect of propranolol on myocardial oxygen consumption and its hemodynamic correlates during upright exercise. Circulation 1973, 48, 1173–1182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  190. Holmberg, S.; Serzysko, W.; Varnauskas, E. Coronary circulation during heavy exercise in control subjects and patients with coronary heart disease. Acta Med. Scand. 1971, 190, 465–480. [Google Scholar] [CrossRef]
  191. Nelson, R.R.; Gobel, F.L.; Jøorgensen, C.R.; Wang, K.; Wang, Y.; Taylor, H.L. Hemodynamic predictors of myocardial oxygen consumption during static and dynamic exercise. Circulation 1974, 50, 1179–1189. [Google Scholar] [CrossRef] [Green Version]
  192. Poliner, L.R.; Dehmer, G.J.; Lewis, S.E.; Parkey, R.W.; Blomqvist, C.G.; Willerson, J.T. Left ventricular performance in normal subjects: A comparison of the responses to exercise in the upright and supine positions. Circulation 1980, 62, 528–534. [Google Scholar] [CrossRef] [Green Version]
  193. Wyss, C.A.; Koepfli, P.; Mikolajczyk, K.; Burger, C.; von Schulthess, G.K.; Kaufmann, P.A. Bicycle exercise stress in PET for assessment of coronary flow reserve: Repeatability and comparison with adenosine stress. J. Nucl. Med. 2003, 44, 146–154. [Google Scholar]
  194. Grubbström, J.; Berglund, B.; Kaijser, L. Myocardial blood flow and lactate metabolism at rest and during exercise with reduced arterial oxygen content. Acta Physiol. Scand. 1991, 142, 467–474. [Google Scholar] [CrossRef]
  195. Wyss, C.A.; Koepfli, P.; Fretz, G.; Seebauer, M.; Schirlo, C.; Kaufmann, P.A. Influence of altitude exposure on coronary flow reserve. Circulation 2003, 108, 1202–1207. [Google Scholar] [CrossRef] [Green Version]
  196. Fehling, P.C.; Haller, J.M.; Lefferts, W.K.; Hultquist, E.M.; Wharton, M.; Rowland, T.W.; Smith, D.L. Effect of exercise, heat stress and dehydration on myocardial performance. Occup. Med. (Chic. Ill.) 2015, 65, 317–323. [Google Scholar] [CrossRef] [Green Version]
  197. Travers, G.; González-Alonso, J.; Riding, N.; Nichols, D.; Shaw, A.; Périard, J.D. Exercise heat acclimation has minimal effects on left ventricular volumes, function and systemic hemodynamics in euhydrated and dehydrated trained humans. Am. J. Physiol. Circ. Physiol. 2020, 319, H965–H979. [Google Scholar] [CrossRef]
  198. Chantler, P.D.; Lakatta, E.G. Arterial-ventricular coupling with aging and disease. Front. Physiol. 2012, 105, 1342–1351. [Google Scholar] [CrossRef] [Green Version]
  199. Chantler, P.D.; Lakatta, E.G.; Najjar, S.S. Arterial-ventricular coupling: Mechanistic insights into cardiovascular performance at rest and during exercise. J. Appl. Physiol. 2008, 105, 1342–1351. [Google Scholar] [CrossRef] [Green Version]
  200. Travers, G.; González-Alonso, J.; Riding, N.; Nichols, D.; Shaw, A.; Périard, J.D. Exercise heat acclimation with dehydration does not affect vascular and cardiac volumes or systemic hemodynamics during endurance exercise. Front. Physiol. 2021, 12, 740121. [Google Scholar] [CrossRef]
  201. Rowell, L.B.; Brengelmann, G.L.; Detry, J.M.; Wyss, C. Venomotor responses to rapid changes in skin temperature in exercising man. J. Appl. Physiol. 1971, 30, 64–71. [Google Scholar] [CrossRef]
  202. Tatterson, A.J.; Hahn, A.G.; Martini, D.T.; Febbraio, M.A. Effects of heat stress on physiological responses and exercise performance in elite cyclists. J. Sci. Med. Sport 2000, 3, 186–193. [Google Scholar] [CrossRef]
  203. Montain, S.J.; Coyle, E.F. Fluid ingestion during exercise increases skin blood flow independent of increases in blood volume. J. Appl. Physiol. 1992, 73, 903–910. [Google Scholar] [CrossRef]
  204. Trinity, J.D.; Pahnke, M.D.; Lee, J.F.; Coyle, E.F. Interaction of hyperthermia and heart rate on stroke volume during prolonged exercise. J. Appl. Physiol. 2010, 109, 745–751. [Google Scholar] [CrossRef] [Green Version]
  205. Chou, T.-H.; Allen, J.R.; Hahn, D.; Leary, B.K.; Coyle, E.F. Cardiovascular responses to exercise when increasing skin temperature with narrowing of the core-to-skin temperature gradient. J. Appl. Physiol. 2018, 125, 697–705. [Google Scholar] [CrossRef]
  206. Chou, T.H.; Akins, J.D.; Crawford, C.K.; Allen, J.R.; Coyle, E.F. Low stroke volume during exercise with hot skin is due to elevated heart rate. Med. Sci. Sports Exerc. 2019, 51, 2025–2032. [Google Scholar] [CrossRef]
  207. Lee, J.F.; Christmas, K.M.; Machin, D.R.; MClean, B.D.; Coyle, E.F. Warm skin alters cardiovascular responses to cycling after preheating and precooling. Med. Sci. Sports Exerc. 2015, 47, 1168–1176. [Google Scholar] [CrossRef]
  208. Jose, A.D.; Stitt, F.; Collison, D. The effects of exercise and changes in body temperature on the intrinsic heart rate in man. Am. Heart J. 1970, 79, 488–498. [Google Scholar] [CrossRef]
  209. Fritzsche, R.G.; Switzer, T.W.; Hodgkinson, B.J.; Coyle, E.F. Stroke volume decline during prolonged exercise is influenced by the increase in heart rate. J. Appl. Physiol. 1999, 86, 799–805. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  210. González-Alonso, J.; Mora-Rodríguez, R.; Below, P.R.; Coyle, E.F. Dehydration markedly impairs cardiovascular function in hyperthermic endurance athletes during exercise. J. Appl. Physiol. 1997, 82, 1229–1236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  211. Romijn, J.A.; Coyle, E.F.; Sidossis, L.S.; Gastaldelli, A.; Horowitz, J.F.; Endert, E.; Wolfe, R.R. Regulation of endogenous fat and carbohydrate metabolism in relation to exercise intensity and duration. Am. J. Physiol. Metab. 1993, 265, E380–E391. [Google Scholar] [CrossRef] [Green Version]
  212. Medbø, J.I.; Tabata, I. Anaerobic energy release in working muscle during 30 s to 3 min of exhausting bicycling. J. Appl. Physiol. 1993, 75, 1654–1660. [Google Scholar] [CrossRef]
  213. Sahlin, K.; Tonkonogi, M.; Söderlund, K. Energy supply and muscle fatigue in humans. Acta Physiol. Scand. 1998, 162, 261–266. [Google Scholar] [CrossRef]
  214. Hargreaves, M.; Spriet, L.L. Skeletal muscle energy metabolism during exercise. Nat. Metab. 2020, 2, 817–828. [Google Scholar] [CrossRef]
  215. Bangsbo, J.; Krustrup, P.; González-Alonso, J.; Saltin, B. ATP production and efficiency of human skeletal muscle during intense exercise: Effect of previous exercise. Am. J. Physiol. Metab. 2001, 280, E956–E964. [Google Scholar] [CrossRef]
  216. Loon, L.J.C.; Greenhaff, P.L.; Constantin-Teodosiu, D.; Saris, W.H.M.; Wagenmakers, A.J.M. The effects of increasing exercise intensity on muscle fuel utilisation in humans. J. Physiol. 2001, 536, 295–304. [Google Scholar] [CrossRef]
  217. Richardson, R.S.; Poole, D.C.; Knight, D.R.; Kurdak, S.S.; Hogan, M.C.; Grassi, B.; Johnson, E.C.; Kendrick, K.F.; Erickson, B.K.; Wagner, P.D. High muscle blood flow in man: Is maximal O2 extraction compromised? J. Appl. Physiol. 1993, 75, 1911–1916. [Google Scholar] [CrossRef]
  218. Rådegran, G. Ultrasound Doppler estimates of femoral artery blood flow during dynamic knee extensor exercise in humans. J. Appl. Physiol. 1997, 83, 1383–1388. [Google Scholar] [CrossRef]
  219. Saltin, B. Exercise hyperaemia: Magnitude and aspects on regulation in humans. J. Physiol. 2007, 583, 819–823. [Google Scholar] [CrossRef]
  220. Armstrong, R.B.; Laughlin, M.H. Rat muscle blood flows during high-speed locomotion. J. Appl. Physiol. 1985, 59, 1322–1328. [Google Scholar] [CrossRef]
  221. Musch, T.I.; Haidet, G.C.; Ordway, G.A.; Longhurst, J.C.; Mitchell, J.H. Training effects on regional blood flow response to maximal exercise in foxhounds. J. Appl. Physiol. 1987, 62, 1724–1732. [Google Scholar] [CrossRef]
  222. Laughlin, M.H.; Davis, M.J.; Secher, N.H.; Lieshout, J.J.; Arce-Esquivel, A.A.; Simmons, G.H.; Bender, S.B.; Padilla, J.; Bache, R.J.; Merkus, D.; et al. Peripheral Circulation. Compr. Physiol. 2012, 2, 321–447. [Google Scholar] [CrossRef]
  223. Rowell, L.B. Ideas about control of skeletal and cardiac muscle blood flow (1876–2003): Cycles of revision and new vision. J. Appl. Physiol. 2004, 97, 384–392. [Google Scholar] [CrossRef]
  224. Poole, D.C.; Pittman, R.N.; Musch, T.I.; Østergaard, L. August Krogh’s theory of muscle microvascular control and oxygen delivery: A paradigm shift based on new data. J. Physiol. 2020, 598, 4473–4507. [Google Scholar] [CrossRef]
  225. González-Alonso, J.; Calbet, J.A.L.; Boushel, R.; Helge, J.W.; Søndergaard, H.; Munch-Andersen, T.; Hall, G.; Mortensen, S.P.; Secher, N.H. Blood temperature and perfusion to exercising and non-exercising human limbs. Exp. Physiol. 2015, 100, 1118–1131. [Google Scholar] [CrossRef]
  226. Johnson, J.M.; Minson, C.T.; Kellogg, D.L. Cutaneous Vasodilator and Vasoconstrictor Mechanisms in Temperature Regulation. Comp Physiol. 2014, 4, 33–89. [Google Scholar] [CrossRef]
  227. Crandall, C.G.; Wilson, T.E. Human Cardiovascular Responses to Passive Heat Stress. Comp Physiol. 2014, 5, 17–43. [Google Scholar] [CrossRef] [Green Version]
  228. Richardson, R.S.; Noyszewski, E.A.; Leigh, J.S.; Wagner, P.D. Lactate efflux from exercising human skeletal muscle: Role of intracellular PO2. J. Appl. Physiol. 1998, 85, 627–634. [Google Scholar] [CrossRef]
  229. González-Alonso, J.; Quistorff, B.; Krustrup, P.; Bangsbo, J.; Saltin, B. Heat production in human skeletal muscle at the onset of intense dynamic exercise. J. Physiol. 2000, 524, 603–615. [Google Scholar] [CrossRef]
  230. Poole, D.C.; Edward, F. Adolph Distinguished Lecture. Contemporary model of muscle microcirculation: Gateway to function and dysfunction. J. Appl. Physiol. 2019, 127, 1012–1033. [Google Scholar] [CrossRef]
  231. Volianitis, S.; Krustrup, P.; Dawson, E.; Secher, N.H. Arm blood flow and oxygenation on the transition from arm to combined arm and leg exercise in humans. J. Physiol. 2003, 547, 641–648. [Google Scholar] [CrossRef]
  232. Volianitis, S.; Yoshiga, C.C.; Nissen, P.; Secher, N.H. Effect of fitness on arm vascular and metabolic responses to upper body exercise. Am. J. Physiol. Circ. Physiol. 2004, 286, H1736–H1741. [Google Scholar] [CrossRef]
  233. Richter, E.A.; Kiens, B.; Hargreaves, M.; Kjaer, M. Effect of arm-cranking on leg blood flow and noradrenaline spillover during leg exercise in man. Acta Physiol. Scand. 1992, 144, 9–14. [Google Scholar] [CrossRef]
  234. Boushel, R.; Gnaiger, E.; Calbet, J.A.L.; González-Alonso, J.; Wright-Paradis, C.; Sondergaard, H.; Ara, I.; Helge, J.W.; Saltin, B. Muscle mitochondrial capacity exceeds maximal oxygen delivery in humans. Mitochondrion 2011, 11, 303–307. [Google Scholar] [CrossRef]
  235. Bigland-Ritchie, B.; Cafarelli, E.; Vøllestad, N.K. Fatigue of submaximal static contractions. Acta Physiol. Scand. Suppl. 1986, 556, 137–148. [Google Scholar]
  236. Garland, S.J.; Enoka, R.M.; Serrano, L.P.; Robinson, G.A. Behavior of motor units in human biceps brachii during a submaximal fatiguing contraction. J. Appl. Physiol. 1994, 76, 2411–2419. [Google Scholar] [CrossRef]
  237. Taylor, J.L.; Gandevia, S.C. A comparison of central aspects of fatigue in submaximal and maximal voluntary contractions. J. Appl. Physiol. 2008, 104, 542–550. [Google Scholar] [CrossRef] [PubMed]
  238. Taylor, A.D.; Bronks, R.; Smith, P.; Humphries, B. Myoelectric evidence of peripheral muscle fatigue during exercise in severe hypoxia: Some references to m. vastus lateralis myosin heavy chain composition. Eur. J. Appl. Physiol. 1997, 75, 151–159. [Google Scholar] [CrossRef] [PubMed]
  239. Ahlborg, G.; Felig, P.; Hagenfeldt, L.; Hendler, R.; Wahren, J. Substrate turnover during prolonged exercise in man. J. Clin. Investig. 1974, 53, 1080–1090. [Google Scholar] [CrossRef] [PubMed]
  240. Nielsen, B.; Strange, S.; Christensen, N.J.; Warberg, J.; Saltin, B. Acute and adaptive responses in humans to exercise in a warm, humid environment. Pflugers Arch. Eur. J. Physiol. 1997, 434, 49–56. [Google Scholar] [CrossRef] [PubMed]
  241. Nielsen, B.Y.B.; Hales, J.R.S.; Strange, S.; Christensen, N.J.; Warberg, J.; Saltin, B. Human circulatory and thermoregulatory adaptations with heat acclimation and exercise in a hot, dry environment. J. Physiol. 1993, 460, 467–485. [Google Scholar] [CrossRef] [PubMed]
  242. Poole, D.C.; Schaffartzik, W.; Knight, D.R.; Derion, T.; Kennedy, B.; Guy, H.J.; Prediletto, R.; Wagner, P.D. Contribution of excising legs to the slow component of oxygen uptake kinetics in humans. J. Appl. Physiol. 1991, 71, 1245–1260. [Google Scholar] [CrossRef]
  243. Pawelczyk, J.A.; Hanel, B.; Pawelczyk, R.A.; Warberg, J.; Secher, N.H. Leg vasoconstriction during dynamic exercise with reduced cardiac output. J. Appl. Physiol. 1992, 73, 1838–1846. [Google Scholar] [CrossRef]
  244. Hargreaves, M.; Dillo, P.; Angus, D.; Febbraio, M. Effect of fluid ingestion on muscle metabolism during prolonged exercise. J. Appl. Physiol. 1996, 80, 363–366. [Google Scholar] [CrossRef]
  245. Chiesa, S.T.; Trangmar, S.J.; Kalsi, K.K.; Rakobowchuk, M.; Banker, D.S.; Lotlikar, M.D.; Ali, L.; González-Alonso, J. Local temperature-sensitive mechanisms are important mediators of limb tissue hyperemia in the heat-stressed human at rest and during small muscle mass exercise. Am. J. Physiol. Circ. Physiol. 2015, 309, H369–H380. [Google Scholar] [CrossRef]
  246. Koch Esteves, N.; Gibson, O.R.; Khir, A.W.; González-Alonso, J. Regional thermal hyperemia in the human leg: Evidence of the importance of thermosensitive mechanisms in the control of the peripheral circulation. Physiol. Rep. 2021, 9, e14953. [Google Scholar] [CrossRef]
  247. Chiesa, S.T.; Trangmar, S.J.; González-Alonso, J. Temperature and blood flow distribution in the human leg during passive heat stress. J. Appl. Physiol. 2016, 120, 1047–1058. [Google Scholar] [CrossRef]
  248. Keller, D.M.; Sander, M.; Stallknecht, B.; Crandall, C.G. α-Adrenergic vasoconstrictor responsiveness is preserved in the heated human leg. J. Physiol. 2010, 588, 3799–3808. [Google Scholar] [CrossRef]
  249. Romero, S.A.; Gagnon, D.; Adams, A.N.; Cramer, M.N.; Kouda, K.; Crandall, C.G. Acute limb heating improves macro- and microvascular dilator function in the leg of aged humans. Am. J. Physiol. Circ. Physiol. 2017, 312, H89–H97. [Google Scholar] [CrossRef]
  250. Ferguson, R.A.; Krustrup, P.; Kjær, M.; Mohr, M.; Ball, D.; Bangsbo, J. Effect of temperature on skeletal muscle energy turnover during dynamic knee-extensor exercise in humans. J. Appl. Physiol. 2006, 101, 47–52. [Google Scholar] [CrossRef] [Green Version]
  251. Dufour, S.P.; Patel, R.P.; Brandon, A.; Teng, X.; Pearson, J.; Barker, H.; Ali, L.; Yuen, A.H.Y.; Smolenski, R.T.; González-Alonso, J. Erythrocyte-dependent regulation of human skeletal muscle blood flow: Role of varied oxyhemoglobin and exercise on nitrite, S -nitrosohemoglobin, and ATP. Am. J. Physiol. Circ. Physiol. 2010, 299, H1936–H1946. [Google Scholar] [CrossRef] [Green Version]
  252. Shoemaker, J. Time course of brachial artery diameter responses to rhythmic handgrip exercise in humans. Cardiovasc. Res. 1997, 35, 125–131. [Google Scholar] [CrossRef] [Green Version]
  253. Mortensen, S.P.; Thaning, P.; Nyberg, M.; Saltin, B.; Hellsten, Y. Local release of ATP into the arterial inflow and venous drainage of human skeletal muscle: Insight from ATP determination with the intravascular microdialysis technique. J. Physiol. 2011, 589, 1847–1857. [Google Scholar] [CrossRef]
  254. Hearon, C.M.; Richards, J.C.; Racine, M.L.; Luckasen, G.J.; Larson, D.G.; Joyner, M.J.; Dinenno, F.A. Sympatholytic effect of intravascular ATP is independent of nitric oxide, prostaglandins, Na+/K+ -ATPase and K IR channels in humans. J. Physiol. 2017, 595, 5175–5190. [Google Scholar] [CrossRef]
  255. Ellsworth, M.L.; Sprague, R.S. Regulation of blood flow distribution in skeletal muscle: Role of erythrocyte-released ATP. J. Physiol. 2012, 590, 4985–4991. [Google Scholar] [CrossRef]
  256. Segal, S.S. Regulation of blood flow in the microcirculation. Microcirculation 2005, 12, 33–45. [Google Scholar] [CrossRef]
  257. El-Sayed, M.S.; Ali, N.; El-Sayed Ali, Z. Haemorheology in exercise and training. Sports Med. 2005, 35, 649–670. [Google Scholar] [CrossRef]
  258. Nader, E.; Skinner, S.; Romana, M.; Fort, R.; Lemonne, N.; Guillot, N.; Gauthier, A.; Antoine-Jonville, S.; Renoux, C.; Hardy-Dessources, M.-D.; et al. Blood Rheology: Key parameters, impact on blood flow, role in sickle cell disease and effects of exercise. Front. Physiol. 2019, 10, 1329. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  259. Mortensen, S.P.; Saltin, B. Regulation of the skeletal muscle blood flow in humans. Exp. Physiol. 2014, 99, 1552–1558. [Google Scholar] [CrossRef] [Green Version]
  260. Marshall, J.M. The roles of adenosine and related substances in exercise hyperaemia. J. Physiol. 2007, 583, 835–845. [Google Scholar] [CrossRef]
  261. Ellsworth, M.L.; Forrester, T.; Ellis, C.G.; Dietrich, H.H. The erythrocyte as a regulator of vascular tone. Am. J. Physiol. Circ. Physiol. 1995, 269, H2155–H2161. [Google Scholar] [CrossRef]
  262. Sender, R.; Fuchs, S.; Milo, R. Revised estimates for the number of human and bacteria cells in the body. PLoS Biol. 2016, 14, e1002533. [Google Scholar] [CrossRef] [Green Version]
  263. Sprague, R.S.; Ellsworth, M.L.; Stephenson, A.H.; Kleinhenz, M.E.; Lonigro, A.J. Deformation-induced ATP release from red blood cells requires CFTR activity. Am. J. Physiol. Circ. Physiol. 1998, 275, H1726–H1732. [Google Scholar] [CrossRef]
  264. Stamler, J.S.; Jia, L.; Eu, J.P.; McMahon, T.J.; Demchenko, I.T.; Bonaventura, J.; Gernert, K.; Piantadosi, C.A. Blood flow regulation by S -Nitrosohemoglobin in the physiological oxygen gradient. Science 1997, 276, 2034–2037. [Google Scholar] [CrossRef] [Green Version]
  265. Gladwin, M.T.; Shelhamer, J.H.; Schechter, A.N.; Pease-Fye, M.E.; Waclawiw, M.A.; Panza, J.A.; Ognibene, F.P.; Cannon, R.O. Role of circulating nitrite and S-nitrosohemoglobin in the regulation of regional blood flow in humans. Proc. Natl. Acad. Sci. USA 2000, 97, 11482–11487. [Google Scholar] [CrossRef] [Green Version]
  266. González-Alonso, J.; Richardson, R.S.; Saltin, B. Exercising skeletal muscle blood flow in humans responds to reduction in arterial oxyhaemoglobin, but not to altered free oxygen. J. Physiol. 2001, 530, 331–341. [Google Scholar] [CrossRef]
  267. Gonzaález-Alonso, J.; Olsen, D.B.; Saltin, B. Erythrocyte and the regulation of human skeletal muscle blood flow and oxygen delivery. Circ. Res. 2002, 91, 1046–1055. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  268. Hanada, A.; Sander, M.; González-Alonso, J. Human skeletal muscle sympathetic nerve activity, heart rate and limb haemodynamics with reduced blood oxygenation and exercise. J. Physiol. 2003, 551, 635–647. [Google Scholar] [CrossRef] [PubMed]
  269. Jagger, J.E.; Bateman, R.M.; Ellsworth, M.L.; Ellis, C.G. Role of erythrocyte in regulating local O2 delivery mediated by hemoglobin oxygenation. Am. J. Physiol. Circ. Physiol. 2001, 280, H2833–H2839. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  270. Roach, R.C.; Koskolou, M.D.; Calbet, J.A.L.; Saltin, B. Arterial O2 content and tension in regulation of cardiac output and leg blood flow during exercise in humans. Am. J. Physiol. Circ. Physiol. 1999, 276, H438–H445. [Google Scholar] [CrossRef]
  271. Koskolou, M.D.; Roach, R.C.; Calbet, J.A.L.; Rådegran, G.; Saltin, B. Cardiovascular responses to dynamic exercise with acute anemia in humans. Am. J. Physiol. Circ. Physiol. 1997, 273, H1787–H1793. [Google Scholar] [CrossRef] [Green Version]
  272. González-Alonso, J.; Mortensen, S.P.; Dawson, E.A.; Secher, N.H.; Damsgaard, R. Erythrocytes and the regulation of human skeletal muscle blood flow and oxygen delivery: Role of erythrocyte count and oxygenation state of haemoglobin. J. Physiol. 2006, 572, 295–305. [Google Scholar] [CrossRef]
  273. Hellsten, Y.; Nyberg, M.; Mortensen, S.P. Contribution of intravascular versus interstitial purines and nitric oxide in the regulation of exercise hyperaemia in humans. J. Physiol. 2012, 590, 5015–5023. [Google Scholar] [CrossRef] [Green Version]
  274. Richardson, R.S.; Noyszewski, E.A.; Saltin, B.; González-Alonso, J. Effect of mild carboxy-hemoglobin on exercising skeletal muscle: Intravascular and intracellular evidence. Am. J. Physiol. Integr. Comp. Physiol. 2002, 283, R1131–R1139. [Google Scholar] [CrossRef]
  275. Clifford, P.S.; Hellsten, Y. Vasodilatory mechanisms in contracting skeletal muscle. J. Appl. Physiol. 2004, 97, 393–403. [Google Scholar] [CrossRef]
  276. Kalsi, K.K.; Chiesa, S.T.; Trangmar, S.J.; Ali, L.; Lotlikar, M.D.; González-Alonso, J. Mechanisms for the control of local tissue blood flow during thermal interventions: Influence of temperature-dependent ATP release from human blood and endothelial cells. Exp. Physiol. 2017, 102, 228–244. [Google Scholar] [CrossRef]
  277. Heinonen, I.; Brothers, R.M.; Kemppainen, J.; Knuuti, J.; Kalliokoski, K.K.; Crandall, C.G. Local heating, but not indirect whole body heating, increases human skeletal muscle blood flow. J. Appl. Physiol. 2011, 111, 818–824. [Google Scholar] [CrossRef]
  278. Nemkov, T.; Skinner, S.C.; Nader, E.; Stefanoni, D.; Robert, M.; Cendali, F.; Stauffer, E.; Cibiel, A.; Boisson, C.; Connes, P.; et al. Acute cycling exercise induces changes in red blood cell deformability and membrane lipid remodeling. Int. J. Mol. Sci. 2021, 22, 896. [Google Scholar] [CrossRef]
  279. van Beaumont, W.; Underkofler, S.; van Beaumont, S. Erythrocyte volume, plasma volume, and acid-base changes in exercise and heat dehydration. J. Appl. Physiol. 1981, 50, 1255–1262. [Google Scholar] [CrossRef]
  280. Mitchell, J.H. Cardiovascular control during exercise: Central and reflex neural mechanisms. Am. J. Cardiol. 1985, 55, 34D–41D. [Google Scholar] [CrossRef]
  281. Mitchell, J.H. Neural circulatory control during exercise: Early insights. Exp. Physiol. 2013, 98, 867–878. [Google Scholar] [CrossRef]
  282. Fisher, J.P.; Young, C.N.; Fadel, P.J. Autonomic adjustments to exercise in humans. Compr. Physiol. 2015, 5, 475–512. [Google Scholar] [CrossRef]
  283. Calbet, J.A.L.; Jensen-Urstad, M.; Van Hall, G.; Holmberg, H.-C.; Rosdahl, H.; Saltin, B. Maximal muscular vascular conductances during whole body upright exercise in humans. J. Physiol. 2004, 558, 319–331. [Google Scholar] [CrossRef]
  284. Furst, B. The Heart and Circulation, 2nd ed.; Springer International Publishing: Cham, Switzerland, 2020; Volume 558, ISBN 978-3-030-25061-4. [Google Scholar]
  285. Joyce, W.; Wang, T. What determines systemic blood flow in vertebrates? J. Exp. Biol. 2020, 223, jeb215335. [Google Scholar] [CrossRef]
  286. Guyton, A.C. Cardiac output, venous return, and their regulation- an integrative analysis of the circulation. In Textbook of Medical Physiology; Guyton, A.C., Ed.; W.B. Saunders Company: Philadelphia, PA, USA, 1969; pp. 337–352. [Google Scholar]
  287. Bada, A.A.; Svendsen, J.H.; Secher, N.H.; Saltin, B.; Mortensen, S.P. Peripheral vasodilatation determines cardiac output in exercising humans: Insight from atrial pacing. J. Physiol. 2012, 590, 2051–2060. [Google Scholar] [CrossRef]
  288. Ross, J.; Linhart, J.W.; Brauwald, E. Effects of changing heart rate in man by electrical stimulation of the right atrium. studies at rest, during exercise, and with isoproterenol. Circulation 1965, 32, 549–558. [Google Scholar] [CrossRef] [Green Version]
  289. Stein, E.; Damato, A.N.; Kosowsky, B.D.; Lau, S.H.; Lister, J.W. The relation of heart rate to cardiovascular dynamics. Circulation 1966, 33, 925–932. [Google Scholar] [CrossRef] [Green Version]
  290. Ilkka, H.; Bengt, S.; Jukka, K.; Sipilä, H.T.; Vesa, O.; Pirjo, N.; Juhani, K.; Kari, K.; Ylva, H. Skeletal muscle blood flow and oxygen uptake at rest and during exercise in humans: A pet study with nitric oxide and cyclooxygenase inhibition. Am. J. Physiol. Circ. Physiol. 2011, 300, H1510–H1517. [Google Scholar] [CrossRef] [Green Version]
  291. Jones, R.D.; Berne, R.M. Intrinsic regulation of skeletal muscle blood flow. Circ. Res. 1964, 14, 126–138. [Google Scholar] [CrossRef] [Green Version]
  292. Duling, B.R.; Berne, R.M. Propagated vasodilation in the microcirculation of the hamster cheek pouch. Circ. Res. 1970, 26, 163–170. [Google Scholar] [CrossRef] [Green Version]
  293. Rosenmeier, J.B.; Yegutkin, G.G.; González-Alonso, J. Activation of ATP/UTP-selective receptors increases blood flow and blunts sympathetic vasoconstriction in human skeletal muscle. J. Physiol. 2008, 586, 4993–5002. [Google Scholar] [CrossRef]
  294. Calbet, J.A.L.; Lundby, C.; Sander, M.; Robach, P.; Saltin, B.; Boushel, R. Effects of ATP-induced leg vasodilation on VO2 peak and leg O2 extraction during maximal exercise in humans. Am. J. Physiol. Integr. Comp. Physiol. 2006, 291, R447–R453. [Google Scholar] [CrossRef] [Green Version]
  295. Mortensen, S.P.; González-Alonso, J.; Damsgaard, R.; Saltin, B.; Hellsten, Y. Inhibition of nitric oxide and prostaglandins, but not endothelial-derived hyperpolarizing factors, reduces blood flow and aerobic energy turnover in the exercising human leg. J. Physiol. 2007, 581, 853–861. [Google Scholar] [CrossRef] [PubMed]
  296. Calbet, J.A.L.; Losa-Reyna, J.; Torres-Peralta, R.; Rasmussen, P.; Ponce-González, J.G.; Sheel, A.W.; de la Calle-Herrero, J.; Guadalupe-Grau, A.; Morales-Alamo, D.; Fuentes, T.; et al. Limitations to oxygen transport and utilization during sprint exercise in humans: Evidence for a functional reserve in muscle O2 diffusing capacity. J. Physiol. 2015, 593, 4649–4664. [Google Scholar] [CrossRef] [Green Version]
  297. Steiner, R. Introducing Anthroposopical Medicine: Lecture of Mmarch 22 1920, Donarch, Switzerland; SteinerBooks: Hudson, NY, USA, 1999. [Google Scholar]
  298. Havlicek, H. Arbeitet das Herz wie eine Druckpumpe oder wie ein Stoßheber. Arch. Kreislaufforsch. 1937, 1, 188–224. [Google Scholar] [CrossRef]
  299. Furst, B. The heart: Pressure-propulsion pump or organ of impedance? J. Cardiothorac. Vasc. Anesth. 2015, 29, 1688–1701. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  300. Manteuffel-Szoege, L. Energy sources of blood circulation and the mechanical action of the heart. Thorax 1960, 15, 47–53. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  301. Manteuffel-Szoege, L.; Michalowski, J.; Grundman, J.; Pacocha, W. On the possibility of blood circulation continuing after stopping the heart. J. Cardiovasc. Surg. (Torino) 1966, 7, 201–208. [Google Scholar]
  302. Caldwell, H.G.; Carr, J.M.J.R.; Minhas, J.S.; Swenson, E.R.; Ainslie, P.N. Acid–base balance and cerebrovascular regulation. J. Physiol. 2021, 599, 5337–5359. [Google Scholar] [CrossRef]
  303. Gourine, A.V.; Kasymov, V.; Marina, N.; Tang, F.; Figueiredo, M.F.; Lane, S.; Teschemacher, A.G.; Spyer, K.M.; Deisseroth, K.; Kasparov, S. Astrocytes control breathing through pH-ependent release of ATP. Science 2010, 329, 571–575. [Google Scholar] [CrossRef] [Green Version]
  304. Smith, J.C.; Ellenberger, H.H.; Ballanyi, K.; Richter, D.W.; Feldman, J.L. Pre-Bötzinger complex: A brainstem region that may generate respiratory rhythm in mammals. Science 1991, 254, 726–729. [Google Scholar] [CrossRef]
  305. Sheikhbahaei, S.; Turovsky, E.A.; Hosford, P.S.; Hadjihambi, A.; Theparambil, S.M.; Liu, B.; Marina, N.; Teschemacher, A.G.; Kasparov, S.; Smith, J.C.; et al. Astrocytes modulate brainstem respiratory rhythm-generating circuits and determine exercise capacity. Nat. Commun. 2018, 9, 370. [Google Scholar] [CrossRef]
  306. Noakes, T.D. Maximal oxygen uptake: “classical” versus “contemporary” viewpoints: A rebuttal. Med. Sci. Sports Exerc. 1998, 30, 1381–1398. [Google Scholar] [CrossRef]
  307. Noakes, T.D.; Marino, F.E. Arterial oxygenation, central motor output and exercise performance in humans. J. Physiol. 2007, 585, 919–921. [Google Scholar] [CrossRef]
  308. Noakes, T.D. Challenging beliefs: Ex Africa semper aliquid novi. Med. Sci. Sports Exerc. 1997, 29, 571–590. [Google Scholar] [CrossRef]
Figure 1. Blood flow, oxygen uptake and energy turnover during exhaustive incremental two-legged cycle exercise and single leg knee-extensor exercise. These data demonstrate that the rate of rise in exercising muscle blood flow, oxygen uptake (VO2) and aerobic energy turnover is blunted during heavy-to-severe intensity cycle exercise but not during exhaustive single leg knee-extensor exercise. The dotted line indicates the theoretical two legs O2 demand, assuming a linear relationship between exercise intensity and VO2 across all cycle exercise intensities, as found during single leg knee-extensor exercise. Limited data suggest that brain VO2 is preserved (via increases in O2 and substrate extraction from the circulation) in the face of reduced brain blood flow and O2 supply during maximal aerobic exercise. Redrawn from data (means ± SE) reported by Mortensen et al. [64], Trangmar et al. [36], Sato et al. [34], and González-Alonso et al. [65].
Figure 1. Blood flow, oxygen uptake and energy turnover during exhaustive incremental two-legged cycle exercise and single leg knee-extensor exercise. These data demonstrate that the rate of rise in exercising muscle blood flow, oxygen uptake (VO2) and aerobic energy turnover is blunted during heavy-to-severe intensity cycle exercise but not during exhaustive single leg knee-extensor exercise. The dotted line indicates the theoretical two legs O2 demand, assuming a linear relationship between exercise intensity and VO2 across all cycle exercise intensities, as found during single leg knee-extensor exercise. Limited data suggest that brain VO2 is preserved (via increases in O2 and substrate extraction from the circulation) in the face of reduced brain blood flow and O2 supply during maximal aerobic exercise. Redrawn from data (means ± SE) reported by Mortensen et al. [64], Trangmar et al. [36], Sato et al. [34], and González-Alonso et al. [65].
Cells 11 00383 g001
Figure 2. Effects of progressive dehydration and hyperthermia on blood flow, oxygen uptake and energy turnover during submaximal constant load cycle exercise compared to the control euhydration condition. Systemic and regional blood flow progressively decline, whilst oxygen uptake (VO2) and legs aerobic energy turnover are maintained during prolonged submaximal cycling (~60% VO2max) with dehydration and hyperthermia to exhaustion compared to control euhydration (corresponding blank symbols) in trained individuals. The dotted line indicates the legs O2 consumption (demand) in the control trial. Adapted from González-Alonso et al. [6].
Figure 2. Effects of progressive dehydration and hyperthermia on blood flow, oxygen uptake and energy turnover during submaximal constant load cycle exercise compared to the control euhydration condition. Systemic and regional blood flow progressively decline, whilst oxygen uptake (VO2) and legs aerobic energy turnover are maintained during prolonged submaximal cycling (~60% VO2max) with dehydration and hyperthermia to exhaustion compared to control euhydration (corresponding blank symbols) in trained individuals. The dotted line indicates the legs O2 consumption (demand) in the control trial. Adapted from González-Alonso et al. [6].
Cells 11 00383 g002
Figure 3. Impact of dehydration and hyperthermia on maximal oxygen uptake and aerobic energy turnover. Oxygen consumption dynamics were measured during constant load maximal cycling (402 ± 4 W) under control, dehydration (4% body weight loss without hyperthermia), hyperthermia (+1 °C and +6 °C increase in Tc and skin temperature, respectively) and combined dehydration and hyperthermia. Note that both combined dehydration and hyperthermia and hyperthermia alone impaired VO2max and exercise performance by 16% and 51–53% compared to control, without altering the initial absolute VO2 responses. Preventing hyperthermia in dehydrated individuals restored VO2max and exercise performance by 65% and 50%, respectively. These data demonstrate that aerobic metabolism and maximal endurance capacity can be drastically compromised in the dehydrated and hyperthermic human. The dotted line is the theoretical systemic O2 demand. Redrawn from data (means ± SE) reported by Nybo et al. [67].
Figure 3. Impact of dehydration and hyperthermia on maximal oxygen uptake and aerobic energy turnover. Oxygen consumption dynamics were measured during constant load maximal cycling (402 ± 4 W) under control, dehydration (4% body weight loss without hyperthermia), hyperthermia (+1 °C and +6 °C increase in Tc and skin temperature, respectively) and combined dehydration and hyperthermia. Note that both combined dehydration and hyperthermia and hyperthermia alone impaired VO2max and exercise performance by 16% and 51–53% compared to control, without altering the initial absolute VO2 responses. Preventing hyperthermia in dehydrated individuals restored VO2max and exercise performance by 65% and 50%, respectively. These data demonstrate that aerobic metabolism and maximal endurance capacity can be drastically compromised in the dehydrated and hyperthermic human. The dotted line is the theoretical systemic O2 demand. Redrawn from data (means ± SE) reported by Nybo et al. [67].
Cells 11 00383 g003
Figure 4. Impact of whole-body hyperthermia on blood flow, oxygen uptake and energy turnover during constant load maximal cycle exercise. Exercising legs (data with continuous lines) and systemic blood flow (data with dotted lines), exercising legs oxygen consumption (VO2) and aerobic energy turnover responses during constant load cycling (~360 W) to exhaustion under (1) systemic hyperthermia and (2) control (normothermic) conditions. The dotted line depicts the theoretical leg O2 demand. Redrawn from (means ± SE) by González-Alonso and Calbet [150].
Figure 4. Impact of whole-body hyperthermia on blood flow, oxygen uptake and energy turnover during constant load maximal cycle exercise. Exercising legs (data with continuous lines) and systemic blood flow (data with dotted lines), exercising legs oxygen consumption (VO2) and aerobic energy turnover responses during constant load cycling (~360 W) to exhaustion under (1) systemic hyperthermia and (2) control (normothermic) conditions. The dotted line depicts the theoretical leg O2 demand. Redrawn from (means ± SE) by González-Alonso and Calbet [150].
Cells 11 00383 g004
Figure 5. Exercising and non-exercising limb blood flow during incremental exercise to volitional exhaustion. This figure illustrates the attenuation in the rate of rise in locomotor limb blood flow during intense cycling but not during single leg knee-extensor exercise. Blood flow in the non-exercising arms remains largely unchanged during incremental cycling despite the increasing Q. The hyperthermia-induced elevation in baseline leg blood flow disappears during whole-body exercise, but an accelerated attenuation in the rate of rise is apparent before exhaustion compared to mild hyperthermia and control conditions. The present graphs were redrawn from data (means ± SD) reported by Mortensen et al. [64], González-Alonso et al. [65], González-Alonso et al. [225] and Trangmar et al. [35].
Figure 5. Exercising and non-exercising limb blood flow during incremental exercise to volitional exhaustion. This figure illustrates the attenuation in the rate of rise in locomotor limb blood flow during intense cycling but not during single leg knee-extensor exercise. Blood flow in the non-exercising arms remains largely unchanged during incremental cycling despite the increasing Q. The hyperthermia-induced elevation in baseline leg blood flow disappears during whole-body exercise, but an accelerated attenuation in the rate of rise is apparent before exhaustion compared to mild hyperthermia and control conditions. The present graphs were redrawn from data (means ± SD) reported by Mortensen et al. [64], González-Alonso et al. [65], González-Alonso et al. [225] and Trangmar et al. [35].
Cells 11 00383 g005
Figure 6. Integrative view of physiological systems during exercise and thermal stress. Increases in the rate of locomotion and the degree of thermal stress induce multiple functional and homeostatic adjustments. These adjustments primarily involve: elevations in O2 demand and utilisation, and CO2 and heat production in the working skeletal muscles. The associated rise in muscle blood flow ensures appropriate O2 supply and CO2 and heat removal to the surrounding environment via the circulation. These peripheral responses are linked to the increase in central neuromotor drive, pulmonary ventilation, systemic blood flow and arterial pressure, and are underpinned by elevations in central and skeletal muscle neural activity, as well as global respiratory, vascular and cardiac function. Cellular homeostasis is preserved across all organ systems when the physiological demand of exercise and thermal stress is substantially below the body’s functional capacity. Created with BioRender.com.
Figure 6. Integrative view of physiological systems during exercise and thermal stress. Increases in the rate of locomotion and the degree of thermal stress induce multiple functional and homeostatic adjustments. These adjustments primarily involve: elevations in O2 demand and utilisation, and CO2 and heat production in the working skeletal muscles. The associated rise in muscle blood flow ensures appropriate O2 supply and CO2 and heat removal to the surrounding environment via the circulation. These peripheral responses are linked to the increase in central neuromotor drive, pulmonary ventilation, systemic blood flow and arterial pressure, and are underpinned by elevations in central and skeletal muscle neural activity, as well as global respiratory, vascular and cardiac function. Cellular homeostasis is preserved across all organ systems when the physiological demand of exercise and thermal stress is substantially below the body’s functional capacity. Created with BioRender.com.
Cells 11 00383 g006
Figure 7. Physiological function and cellular homeostasis during fatiguing exercise. This figure illustrates a theoretical model of the physiological responses to maximal aerobic exercise, with and without environmental heat stress. While the available evidence suggests that compensatory adjustments preserve function and cellular dynamic homeostasis in the brain, the lungs and the heart, a mismatch between energy demand and supply in contracting skeletal muscle leads to compromised local metabolism, suppressed muscle contractile function, impaired force production and ultimately an inability to maintain speed of locomotion or power output, the hallmark of fatigue. Note in Figure 1 and Figure 5 that the rate of rise in exercising legs blood flow is blunted above moderate exercise intensities during incremental two-legged cycling, but not during incremental single leg knee-extensor exercise. The addition of moderate-to-severe whole-body hyperthermia, or combined dehydration and hyperthermia during constant load and incremental exercise (Figure 2, Figure 3, Figure 4 and Figure 5) induce a faster attenuation in the rate of rise or a decline in exercising legs blood flow, leading to disruption in myocyte dynamic homeostasis and accelerated fatigue. In contrast, skin hyperthermia alone—induced via a brief heat exposure using a water-perfused suit—does not speed up fatigue compared to control (Figure 5). Importantly, as illustrated by the exercising legs blood flow in Figure 1, alterations in physiological function and compromised locomotor muscle metabolism can also occur during maximal aerobic exercise in normothermic conditions, underpinned by restrictions in exercising limb blood flow and diminished O2 supply. Created with BioRender.com.
Figure 7. Physiological function and cellular homeostasis during fatiguing exercise. This figure illustrates a theoretical model of the physiological responses to maximal aerobic exercise, with and without environmental heat stress. While the available evidence suggests that compensatory adjustments preserve function and cellular dynamic homeostasis in the brain, the lungs and the heart, a mismatch between energy demand and supply in contracting skeletal muscle leads to compromised local metabolism, suppressed muscle contractile function, impaired force production and ultimately an inability to maintain speed of locomotion or power output, the hallmark of fatigue. Note in Figure 1 and Figure 5 that the rate of rise in exercising legs blood flow is blunted above moderate exercise intensities during incremental two-legged cycling, but not during incremental single leg knee-extensor exercise. The addition of moderate-to-severe whole-body hyperthermia, or combined dehydration and hyperthermia during constant load and incremental exercise (Figure 2, Figure 3, Figure 4 and Figure 5) induce a faster attenuation in the rate of rise or a decline in exercising legs blood flow, leading to disruption in myocyte dynamic homeostasis and accelerated fatigue. In contrast, skin hyperthermia alone—induced via a brief heat exposure using a water-perfused suit—does not speed up fatigue compared to control (Figure 5). Importantly, as illustrated by the exercising legs blood flow in Figure 1, alterations in physiological function and compromised locomotor muscle metabolism can also occur during maximal aerobic exercise in normothermic conditions, underpinned by restrictions in exercising limb blood flow and diminished O2 supply. Created with BioRender.com.
Cells 11 00383 g007
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Travers, G.; Kippelen, P.; Trangmar, S.J.; González-Alonso, J. Physiological Function during Exercise and Environmental Stress in Humans—An Integrative View of Body Systems and Homeostasis. Cells 2022, 11, 383. https://doi.org/10.3390/cells11030383

AMA Style

Travers G, Kippelen P, Trangmar SJ, González-Alonso J. Physiological Function during Exercise and Environmental Stress in Humans—An Integrative View of Body Systems and Homeostasis. Cells. 2022; 11(3):383. https://doi.org/10.3390/cells11030383

Chicago/Turabian Style

Travers, Gavin, Pascale Kippelen, Steven J. Trangmar, and José González-Alonso. 2022. "Physiological Function during Exercise and Environmental Stress in Humans—An Integrative View of Body Systems and Homeostasis" Cells 11, no. 3: 383. https://doi.org/10.3390/cells11030383

APA Style

Travers, G., Kippelen, P., Trangmar, S. J., & González-Alonso, J. (2022). Physiological Function during Exercise and Environmental Stress in Humans—An Integrative View of Body Systems and Homeostasis. Cells, 11(3), 383. https://doi.org/10.3390/cells11030383

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop