Red blood cells in sports: effects of exercise and training on oxygen supply by red blood cells
- Medical Clinic VII, Sports Medicine, University of Heidelberg, Heidelberg, Germany
During exercise the cardiovascular system has to warrant substrate supply to working muscle. The main function of red blood cells in exercise is the transport of O2 from the lungs to the tissues and the delivery of metabolically produced CO2 to the lungs for expiration. Hemoglobin also contributes to the blood's buffering capacity, and ATP and NO release from red blood cells contributes to vasodilation and improved blood flow to working muscle. These functions require adequate amounts of red blood cells in circulation. Trained athletes, particularly in endurance sports, have a decreased hematocrit, which is sometimes called “sports anemia.” This is not anemia in a clinical sense, because athletes have in fact an increased total mass of red blood cells and hemoglobin in circulation relative to sedentary individuals. The slight decrease in hematocrit by training is brought about by an increased plasma volume (PV). The mechanisms that increase total red blood cell mass by training are not understood fully. Despite stimulated erythropoiesis, exercise can decrease the red blood cell mass by intravascular hemolysis mainly of senescent red blood cells, which is caused by mechanical rupture when red blood cells pass through capillaries in contracting muscles, and by compression of red cells e.g., in foot soles during running or in hand palms in weightlifters. Together, these adjustments cause a decrease in the average age of the population of circulating red blood cells in trained athletes. These younger red cells are characterized by improved oxygen release and deformability, both of which also improve tissue oxygen supply during exercise.
The primary role of red blood cells is the transport of respiratory gasses. In the lung, oxygen (O2) diffuses across the alveolar barrier from inspired air into blood, where the majority is bound by hemoglobin (Hb) to form oxy-Hb, a process called oxygenation. Hb is contained in the red blood cells, which, being circulated by the cardiovascular system, deliver O2 to the periphery where it is released from its Hb-bond (deoxygenation) and diffuses into the cells. While passing peripheral capillaries, carbon dioxide (CO2) produced by the cells reaches the red blood cells, where carbonic anhydrase (CA) in tissues and red blood cells converts a large portion of CO2 into bicarbonate (HCO−3). CO2 is also bound by Hb, preferentially by deoxygenated Hb forming carboxy-bonds. Both forms of CO2 are delivered to the lung, where CA converts HCO−3 back into CO2. CO2 is also released from its bond to Hb and diffuses across the alveolar wall to be expired.
The biological significance of O2 transport by Hb is well-illustrated by anemia where decreased Hb also decreases exercise performance despite a compensatory increase in cardiac output (Ledingham, 1977; Carroll, 2007), and by improved aerobic performance upon increasing total Hb (Berglund and Hemmingson, 1987). The O2 dissociation curves in Figure 1 indicate the advantage of normal vs. anemic Hb showing that the O2 content in blood varies with the Hb concentration in blood at any given O2 partial pressure (PO2). Not only its amount but also the functional properties of Hb affect performance. This is illustrated by the observation that an increased Hb-O2 affinity favors O2 loading in the lung and survival in an hypoxic environment (Eaton et al., 1974; Hebbel et al., 1978), whereas a decreased Hb-O2 affinity favors the release of O2 from the Hb molecule in support of oxidative phosphorylation when the ATP demand is high, such as in exercising skeletal muscle (for a recent review see Mairbäurl and Weber, 2012).
Figure 1. Effects of hemoglobin concentration and pH, CO2, 2,3-DPG and temperature on blood oxygen content and on Hb-O2 affinity. Oxygen dissociation curves (ODC) were calculated with the equation by Severinghaus (1979) using decreased, normal, and increased P50 values. Oxygen content was calculated from SO2 and normal and decreased hemoglobin concentrations assuming that 1 g H binds 1.34 ml of O2. The insert indicates that an increase in pH, and a decrease in CO2, 2,3-DPG and temperature shifts the ODC to the left (red arrows and curves), whereas acidosis and increased CO2, 2,3-DPG and temperature shift the ODCs to the right.
Despite O2 transport, red blood cells fulfill a variety of other functions, all of which also may improve exercise performance. Likely the most important one is the contribution of red blood cells in buffering changes in blood pH by transport of CO2 and by binding of H+ to hemoglobin. Red blood cells also take up metabolites such as lactate that is released from skeletal muscle cells during high intensity exercise. Uptake into red blood cells decreases the plasma concentration of metabolites. Finally, red blood cells seem to be able to decrease peripheral vascular resistance by releasing the vasodilator NO (Stamler et al., 1997) and by releasing ATP which stimulates endothelial NO formation causing arteriolar vasodilation and augments local blood flow (Gonzalez-Alonso et al., 2002).
This review summarizes the mechanisms by which red blood cells warrant O2 supply to the tissues with special emphasis on O2 transport to exercising muscle.
Oxygen Affinity of Hemoglobin
A major mechanism optimizing O2 transport by hemoglobin is the change in Hb-O2 affinity. Changes are very fast and actually occur while red blood cells pass through blood capillaries. Effects of altered Hb-O2 affinity on O2 transport are independent of Hb concentration and total Hb mass in circulation and thus add to the adjustment by changes in erythropoiesis.
The intrinsic O2-affinity of hemoglobin is very high (Weber and Fago, 2004). Therefore, allosteric effectors are required that decrease Hb-O2 affinity allowing unloading of O2 from the Hb molecule. The major allosteric effectors modulating Hb-O2 affinity in vivo in human red blood cells are organic phosphates such as 2,3-diphosphoglycerate (2,3-DPG) and adenosine triphosphate (ATP), H+ and CO2, and Cl−. A direct role of lactate, which accumulates during exercise, on Hb-O2-affinity is less clear and may be due to a small effect on the Cl− binding by Hb and on carbamate formation (reviewed in (Mairbäurl and Weber, 2012)). Indirect effects of lactate may be caused by affecting the Cl− concentration and by the uptake of H+ together with lactate mediated by MCT-1 (Deuticke, 1982). Another modulator of Hb-O2 affinity relevant to exercise is a change in body temperature (Dill and Forbes, 1941; Mairbäurl and Humpeler, 1980). Figure 1 shows that at any Hb concentration, acidosis, and an increase in CO2 and 2,3-DPG decrease Hb-O2 affinity. Changes in Cl− are small in vivo and are therefore not shown on the graph. Also an increase in temperature decreases Hb-O2 affinity. These changes shift the ODC to the right showing graphically that the O2 saturation of Hb (SO2) is decreased at any given PO2. In contrast, alkalosis, a decrease in CO2, 2,3-DPG, and temperature increase Hb-O2 affinity to increase SO2 at a given PO2.
The physiological significance of an increased Hb-O2 affinity is an improved O2 binding by Hb when the PO2 is low. It is therefore of significance for people exposed to hypoxic environments, where it prevents exaggerated arterial desaturation. A decrease in Hb-O2 affinity improves O2 delivery to cells with a high O2 demand such as in exercising muscle (see below).
A simple approach to estimate the SO2 from PO2 and vice versa has been published by Severinghaus (1979). The formula was derived from a best fit model of the standard oxygen dissociation curve with an error of SO2 of 0.26% within the physiological range of PO2. The standard half saturation pressure of O2 (P50value) was given as 26.86 mmHg at a plasma pH = 7.4 and 37°C; S is fractional saturation.
Based on a model proposed by Roughton and Severinghaus (1973), Okada et al. (1977) published a modification of this formula that allows estimating changes in P50 by altered pH, temperature (T; °C), base excess (BE; mEq/Liter), and 2,3-DPG (DPG; molar ration of 2,3-DPG to Hb) with accuracies of P50 values and SO2 of ± 2.5 and ± 5%, respectively.
After correction of P50 using this equation to obtain P50,actual, adjusted PO2 (PO2,actual) values can be calculated (Severinghaus, 1979) as
Then the “Severinhaus-equation” can be used to calculate S from the new PO2 to obtain complete ODCs. A more detailed description of the magnitude of changes in Hb-O2 affinity by allosteric effectors, temperature, and other molecules alone as well as their interactions is reviewed in (Mairbäurl and Weber, 2012).
Hb-O2 Affinity During Exercise
During exercise the increased demand for oxygen is met by increasing muscle blood flow (Laughlin et al., 2012) and by improved O2 unloading from Hb achieved by decreasing Hb-O2 affinity (Mairbäurl, 1994). It is obvious that a decreased Hb-O2 affinity, if occurring systemically—i.e., in all red blood cells in circulation—will compromise arterial O2 loading of Hb in the lung. It would thus be advantageous if adjustments in Hb-O2 affinity occurred locally to serve both functions, oxygenation in the lung and deoxygenation in peripheral blood capillaries. Thus, Hb-O2 affinity should be low while red blood cells pass through tissues with a high O2 demand, and should be increased when red blood cells return to the lung. This is in fact what happens because of distinct differences in pH, CO2 and temperature between the lung and capillaries in working muscles. No changes in 2,3-DPG, one of the major allosteric effectors of Hb-O2 affinity (Benesch and Benesch, 1967), during exercise tests have been observed (Mairbäurl et al., 1986), because 2,3-DPG changes are slow and require adjustments of the glycolytic rate in red blood cells. However, elevated 2,3-DPG has been found after training (Böning et al., 1975; Braumann et al., 1982; Mairbäurl et al., 1983; Schmidt et al., 1988). It might be considered beneficial for O2 unloading during exercise because it increases the effect of acidosis (Bohr effect) on Hb-O2 affinity (Bauer, 1969). The elevated 2,3-DPG in trained individuals might be a consequence of the stimulated erythropoiesis, which decreases red blood cell age (Mairbäurl et al., 1983). Young red blood cells have an increased metabolic activity (Seamen et al., 1980; Rapoport, 1986), higher 2,3-DPG, and a lower Hb-O2-affibity than senescent red blood cells (Haidas et al., 1971; Mairbäurl et al., 1990).
O2 unloading to exercising muscle
Exercising muscle cells release H+, CO2, and lactate into blood capillaries, and there is also a higher temperature in working muscle than in inactive tissues. Blood entering capillaries of exercising muscles is acutely exposed to these changes, which causes a rapid decrease in Hb-O2 affinity. P50 values of ~34–48 mmHg can be estimated from changes in blood gasses (provided e.g., in Sun et al., 2000). Temperature increases from 37°C at rest to 41°C during exercise. Because there is a continuous change in blood composition by admixture of metabolites as new blood enters a capillary, P50 values are lower at the arterial side of the capillaries than at their venous end (Mairbäurl and Weber, 2012) causing an enormous rightward shift of the ODC within the capillaries that increases unloading of O2 from Hb considerably (Berlin et al., 2002). This is also demonstrated by the extensive shift to the right of the ODC in capillary blood in exercise conditions relative to rest (Figure 2; points D and B, respectively). Trained individuals have a higher Bohr effect at low SO2 probably due to elevated 2,3-DPG (Böning et al., 1975; Braumann et al., 1982; Mairbäurl et al., 1983), which might cause an even greater increase in the arterio-to-venous O2 difference.
Figure 2. Effects of exercise on Hb-O2 affinity. Shifts of the O2-dissociation curves are calculated for an arterial pH = 7.4, a capillary pH = 7.3, and temperature is 37°C rest. Values used to calculate oxygen dissociation curves (ODC) for exercise were an arterial pH = 7.15 at 38.5°C, a capillary pH = 7.0 and temperature = 41°C in working muscle using the equation giving in the text using data from exercise tests (Sun et al., 2000). At rest, assuming a venous PO2 = 40 mmHg, SO2 decreases by 28% (points A and B), while extraction nearly triples in exercise conditions (delta SO2 = 79%) assuming a venous PO2 = 25 mmHg during exercise (points C and D).
Arterial O2 loading
On its way from working muscle to the lung the concentrations of H+ and CO2 in blood are decreased by admixture of blood coming from inactive muscle and other organs. CO2 decreases in alveolar capillaries due to alveolar gas exchange, which further alkalinizes the blood. Thus, the effects of these metabolites on Hb-O2 affinity are attenuated in the lung relative to working muscle. Also the temperature is lower in the lung than in working muscle. Nevertheless, normal values of Hb-O2 affinity are not restored completely during intensive exercise, which is indicated by the slight shift to the right of the ODC in the exercise conditions relative to the resting situation (Figure 2; points A and C). The magnitude of the deviation depends on the active muscle mass and exercise intensity. From blood gas data during exercise reported by Wasserman and colleagues (Sun et al., 2000) it can be estimated that the half saturation tension of O2 (P50 value) might increase from about ~27 mmHg at rest to 34 mmHg in arterial blood during heavy exercise. This decrease in Hb-O2 affinity impairs arterial O2 loading and decreases arterial SO2 from ~97.5% at rest to ~95% during high intensity exercise. An increased 2,3-DPG in trained individuals might further decrease arterial SO2 (Mairbäurl et al., 1983). Adding to the effect of decreased Hb-O2 affinity, SO2 decreases further because of diffusion limitation by the shortened contact time when cardiac output is high (Dempsey and Wagner, 1999; Hopkins, 2006), which might even be enhanced when exercise is performed in hypoxia (Calbet et al., 2008).
When comparing the effects of acid metabolites and the increased body temperature during exercise on Hb-O2 affinity in arterial and muscle capillary blood it is evident that the changes are much greater in working muscle than in the lung. Thus, the greatly increased amount of O2 unloaded from Hb relative to rest easily compensates for arterial desaturation during exercise.
Oxygen Transport Capacity
Whereas only 0.03 ml O2 * L−1 * mmHg−1 PO2 at 37°C can be transported in blood in physical solution, one gram of Hb can bind ~1.34 ml of O2. Thus, the presence of a normal amount of Hb per volume of blood increases the amount of O2 that can be transported about 70-fold, which is absolutely essential to meet the normal tissue O2 demand. It is therefore apparent that an increased amount of Hb also increases the amount of O2 that can be delivered to the tissues (Figure 1). In fact, the O2 transport capacity was found to correlate directly with aerobic performance as can be seen from an increase in performance after infusion of red blood cells (Berglund and Hemmingson, 1987) and by the strong correlation between total Hb and maximal O2 uptake (VO2,max) in athletes (for review see Sawka et al., 2000; Schmidt and Prommer, 2010). Calbet et al found that acute manipulations of the O2 carrying capacity also vary performance (Calbet et al., 2006). Thus, it is a clear advantage for aerobic athletic performance to have a high O2 transport capacity.
Parameters required to evaluate O2 transport capacity are the Hb concentration in blood (cHb) and hematocrit (Hct), as well as total Hb mass (tHb) and total red blood cell volume (tEV) in circulation. cHb and Hct are easy to measure with standard hematological laboratory equipment. Together with SO2 they indicate the amount of O2 that can be delivered to the periphery per unit volume of cardiac output. tHb and tEV indicate the total amount of O2 that can be transported by blood. A large tHb and tEV allows redirecting O2 to organs with a high O2 demand while maintaining basal O2 supply in less active tissues. Because they are affected by changes in plasma volume (PV) cHb and Hct allow no conclusion on tHb and tEV, respectively.
Results on cHb, Hct and red blood cell count in athletes and their comparison with values obtained in healthy, sedentary individuals are conflicting due to the fact that red blood cell volume and PV change independently and due to the many factors affecting each of these parameters (see below). Establishing normal values for tHb and tEV for athletes is hampered further by the possibility of use of means to increase aerobic capacity such as blood and erythropoietin (EPO) doping.
Hematocrit in Athletes
Many but not all studies show lower Hct in athletes than in sedentary controls (Broun, 1922; Davies and Brewer, 1935; Ernst, 1987; Sawka et al., 2000). However, several studies also report higher than normal Hct. A highly increased Hct increases blood viscosity and increases the workload of the heart (El-Sayed et al., 2005; Böning et al., 2011). It therefore bears the risk of cardiac overload.
Many studies showed that Hct tended to be lower in athletes than in sedentary individuals (Broun, 1922; Davies and Brewer, 1935; Remes, 1979; Magnusson et al., 1984; Selby and Eichner, 1986; Ernst, 1987; Weight et al., 1992). This was verified by Sharpe et al. (2002) in the course of establishing reference Hct and Hb values for athletes. The found that out of ~1100 athletes from different countries 85% of the female and 22% of the male athletes had Hct values below 44%. A tendency for an inverse correlation of Hct with training status, indicated by VO2,max, was also shown (Heinicke et al., 2001). However, a small proportion of sedentary controls and athletes has higher than normal Hct. Sharpe et al. (2002) found that 1.2% of all females and 32% of all males in their study had an Hct > 47%. When following female and male elite athletes and controls over a study period of 43 months Vergouwen (Vergouwen et al., 1999) found 6 males controls and 5 males athletes with a Hct > 50% and 5 females controls but no female athletes with a Hct > 47%.
Hematocrit during exercise
Changes in Hct occur rapidly. Hct increases during exercise due to a decrease in PV when fluid replacement during exercise is insufficient (Costill et al., 1974). There is fluid loss due to sweating, a shift of plasma water into the extracellular space due to the accumulation of osmotically active metabolites, and filtration as a consequence of an increased capillary hydrostatic pressure (Convertino, 1987). The resultant increase in plasma protein increases oncotic pressure and thus moderates fluid escape (Harrison, 1985). Changes appear less pronounced during swimming than running exercise, where immersion and the re-distribution of blood volume seem to cause shifts in PV independent of volume regulatory hormones (Böning et al., 1988). An increase in hematocrit due to catecholamine-induced sequestration of red blood cells from spleen is unlikely in humans but has been found in other species (Stewart and McKenzie, 2002).
Long-term changes of hematocrit
In a recent review, Thirup (2003) reports a within-subject variability of ~3% when reviewing 12 studies on more than 600 healthy, non-smoking, mostly sedentary individuals, and when measurements were repeated in sampling intervals ranging from days to ~2 months. Sawka et al. summarized data from 18 investigations and found that PV and blood volume increased rapidly after training sessions, whereas red cell volume remained unchanged for several days before it began to increase indicating that Hct values were decreased for several days (Sawka et al., 2000). The magnitude of Hct change seems to depend on exercise intensity during training sessions and the type of exercise (strength vs. endurance; for review see Hu and Lin, 2012). A few weeks after the training intervention a new steady state had established, and Hct had returned to pre-training values (Sawka et al., 2000). The post-training increase in PV and the increased PV in highly trained athletes (e.g., Hagberg et al., 1998; Sawka et al., 2000; Heinicke et al., 2001; Schumacher et al., 2002) is likely caused by aldosterone dependent renal Na+ reabsorption, and by water retention stimulated by elevated antidiuretic hormone in compensation for the water loss during individual training sessions (Costill et al., 1976; Milledge et al., 1982).
There appear to be quite large seasonal variations in Hct (relative change up to 15%) with lower values in summer than in winter that might result in season-to-season changes from ~42% in summer and 48% in winter as found among several thousand study participants. Seasonal changes depend on climatic effects with larger differences in countries closer to the equator (Thirup, 2003). Studies of seasonal changes in Hct of athletes are sparse but indicate that Hct might be decreased by another 1–2% in summer by addition of a training effect.
The decreased Hct in athletes has been termed “sports anemia.” For a long time it had been explained with increased red blood cell destruction during exercise and thus appeared to be the same phenomenon as the well-known march hemoglobinuria (Broun, 1922; Kurz, 1948; Martin and Kilian, 1959). Intravascular destruction of red blood cells occurs at shear stresses between 1000 and 4000 dyn/cm2 (Sutera, 1977; Sallam and Hwang, 1984), values well above physiological values at rest (Mairbäurl et al., 2013). It is related to the intensity and the kind of exercise (Yoshimura et al., 1980; Miller et al., 1988). Foot strike in runners has been the most often reported reason for intravascular hemolysis (Telford et al., 2003), which can be prevented by good shoe cushioning (Yoshimura et al., 1980; Dressendorfer et al., 1992). It also occurred during mountain hiking (Martin et al., 1992), in strength training (Schobersberger et al., 1990), karate (Streeton, 1967), in swimmers (Selby and Eichner, 1986; Robinson et al., 2006), basketball, Kendo-fencing, and in drummers (Schwartz and Flessa, 1973; Nakatsuji et al., 1978). Running exercise has been found to increase plasma hemoglobin from ~30 mg/liter at rest to ~120 mg/liter indicating that about 0.04% of all circulating red blood cells were lyzed (Telford et al., 2003). Exercise had been shown to alter red blood cell membrane appearance in correlation with elevated haptoglobin (Jordan et al., 1998). Senescent red blood cells may be particularly prone to exercise induced intravascular hemolysis as indicated by a decreased mean red blood cell buoyant density and a density distribution curve that was skewed toward younger, less dense cells in trained individuals indicated by increased levels of pyruvate kinase activity, 2,3-DPG and P50, higher reticulocyte counts (Mairbäurl et al., 1983). Other possible reasons for “sports anemia” under discussion are nutritional aspects such as insufficient protein intake and altered profile of blood lipids (for review see Yoshimura et al., 1980), and iron deficiency (Hunding et al., 1981).
Total Hemoglobin Mass (tHb) and Total Red Blood Cell Volume (tEV)
As indicated above, PV is prone to acute changes, whereas changes in total red blood cell mass (or volume) are slow due to slow rates of erythropoiesis (Sawka et al., 2000). Therefore, total hemoglobin and/or red blood cell volume has to be measured in addition to cHb and Hct to obtain a reliable measure of the oxygen transport capacity. Several methods have been applied to determine these parameters.
Grehant and Quinquard (1882) were the first to describe blood volume measurements by use of carbon monoxide (CO)-rebreathing. This method is based on the much higher affinity of Hb to CO than to O2 (for review see Mairbäurl and Weber, 2012), which allows using CO in an indicator dilution method. It has been used to measure the fraction of blood mass relative to body mass by Arnold et al. (1921). The technique has been improved considerably by Sjostrand by advancing the method to estimate carboxy-hemoglobin (Sjostrand, 1948). To date CO rebreathing or inhalation has been further improved (Godin and Shephard, 1972; Schmidt and Prommer, 2005). MCHC is then used to calculate tEV, and Hct to estimate total blood volume. Total red blood cell volume can be determined directly after injection of 99mTc-labeled red blood cells (Thomsen et al., 1991). By indirect means, total red blood cell volume can also be calculated from Hct after measuring the PV using Evans blue (T-1824), which binds to albumin, and by injection of 125iodine-labeled albumin. Several of these methods have been compared by Thomsen et al. (1991) who reported a correlation of r = 0.99 between PV measured by 125I-albumin and Evans blue, and showed that PV calculated from measuring tEV with labeled red blood cells was about 5–10% lower than that from labeling albumin.
Applying these techniques Kjellberg et al. found that trained individuals had increased tHb (Kjellberg et al., 1949), a result that has been confirmed many times thereafter both by comparing groups of individuals with different training status and by measuring tEV before and after prolonged training periods (for a recent review see Sawka et al., 2000). Schmidt and Prommer summarized recently that different training modalities vary in their effects on tHb, where they put the main emphasis on training in hypoxia (Schmidt and Prommer, 2008). In summary, these studies show that an increase in tHb by 1 g achieved e.g., by administration of erythropoietin, increased VO2,max by ~3 ml/min (Parisotto et al., 2000; Schmidt and Prommer, 2008). From the correlation shown by Heinicke et al. (2001) it can be derived that an increase in 1 g of tHb per kg body weight (g/kg) increased VO2,max by ~5.8 ml/min/kg, where non-athletes (though with a rather high VO2,max of 45 ml/min/kg) had a tHb of 11 g/kg and their best athletes (average VO2,max = 71.9 ml/kg) had a tHb of 14.8 g/kg (Heinicke et al., 2001). Their findings fit well to the results reported by Kjellberg, who found a 37% higher tHb in elite athletes than in untrained individuals (Kjellberg et al., 1949). Schmidt and Prommer (2008) combined results from several of their studies and found a change in VO2,max of 4.2 ml/min/kg in males and of 4.4 ml/min/kg in females per change in tHb of 1 g/kg with very high correlation coefficients (r~ 0.79), whereas there was no correlation between VO2,max and Hb or Hct. However, there are also reports on a lack of difference in tHb between sedentary and trained individuals (Green et al., 1991). As mentioned above all these studies bear the burden of uncertainty that athletes may have taken measures to increase performance, which makes it difficult to establish “normal values” of tHb and tEV for athletes.
Different duration of exercise training (weeks vs. months) appear to explain the diverging results in the studies on tHb and training. Sawka et al. (2000) found no increase when training lasted less than 11 days. Also most studies on 4–12 months of training showed no or only small effects; their own longitudinal study on “leisure sportsmen” resulted in an increase in tHb by ~6% in the course of a 9-month endurance training (summarized in Schmidt and Prommer, 2008) indicating that adjustments of tHb and tEV by training are slow, and that a pronounced increase may require several years of training.
Sedentary high altitude residents have an increased tHb in comparison to their low altitude counterparts, where blood volume has been found to be increased from ~80 to ~100 ml/kg (Hurtado, 1964; Sanchez et al., 1970). Results on sojourners to high altitude indicate that, similar to training, the increase in tHb and blood volume is also slow requiring weeks to months of high altitude exposure. At high altitude, the increase may be masked by a decrease in PV (Reynafarje et al., 1959). Therefore, a short-term stay at moderate and high altitude will not increase tHb and tEV (Myhre et al., 1970). A summary of 14 different studies Sawka et al. (2000) shows that several studies found no change in tEV upon ascent whereas some did, and explained discrepancies with the difference in the duration of exposure to high altitude. A gain in tEV between 62 and 250 ml/week was found when the sojourn lasted about 3 weeks.
Based on the raise in tEV upon ascent to high altitude and by training in normoxia it was concluded that effects of training and high altitude exposure on tHb might be additive, and that training at simulated altitude or by ascent to moderate or high altitude should cause an even further increase than training in normoxia. However, results are inconsistent ranging from no effect (Svedenhag et al., 1997; Friedmann et al., 1999) to a pronounced increase after 3–4 weeks of training at altitudes between 2100 and 2400 m (Levine and Stray-Gundersen, 1997; Friedmann et al., 2005; Heinicke et al., 2005). Lack of effects has in part been explained with lower training intensities at high than at low altitude, which is due to the decrease in performance with increasing altitude (Cerretelli and DiPrampero, 1985). Several strategies have been developed aimed at improving the training efficiency while still “consuming” adjustments to hypoxia, one being the “sleep-high-train-low” protocol. Current concepts and concerns are reviewed in (Richalet and Gore, 2008; Stray-Gundersen and Levine, 2008; Robach and Lundby, 2012). Results are unclear, and often show no effect on tHb [e.g., in a well-designed, Placebo-controlled study by Siebenmann et al. (2012)]. A thorough analysis reveals that more than 14h per day of exposure to hypoxia seem to be required to attain a detectible increase in tHb and tEV (analysis in Schmidt and Prommer, 2008).
Control of erythropoiesis
It has been recognized by Bert (1882) that live at high altitude corresponds with increased hemoglobin, and later that Hct, Hb, and tHb are increased (Reynafarje et al., 1959; Hurtado, 1964; Sanchez et al., 1970), which was later recognized to be associated with elevated levels of erythropoietin (Mirand and Prentice, 1957; Scaro, 1960; Siri et al., 1966). The elevated tEV is thought to compensate for the decreased arterial O2-content when the inspired PO2 is low. Stimulation of vascularization by the vascular endothelial growth factor, VEGF, is another means warranting tissue O2 supply in chronic hypoxia (for review see e.g., Marti, 2005). Both processes depend on sensing hypoxia within typical target cells and specific signaling pathways that adjust the expression of specific genes.
One such oxygen dependent mechanism is the control of expression by hypoxia inducible factors, HIF (Semenza, 2009). Active HIF consists of alpha and beta subunits. The beta subunit (HIF-β, also called ARNT) is expressed constitutively and is not directly affected by oxygen levels (Semenza, 1999). There are several isoforms of the alpha subunit, where HIF-1α seems to mainly control metabolic adjustments such as glycolysis (Hu et al., 2003), and HIF-2α has been identified as the major regulator of erythropoiesis (Scortegagna et al., 2005; Gruber et al., 2007). In hypoxia, the hydroxylation of HIF-alpha subunits by prolyl-hydroxylases (PDH) is prevented due to the lack of O2 required as a direct substrate, which then prevents the hydroxylation-dependent poly-ubiquitinylation by the Van Hippel-Lindau tumor suppressor pVHL-E3 ligase and subsequent proteasomal degradation (Schofield and Ratcliffe, 2004) resulting in increased protein levels of HIF alpha subunits. Upon stabilization, alpha subunits enter the nucleus, where they dimerize with HIF-β. The dimer binds to a specific base sequence in the promoter region of genes called hypoxia response element, HRE, to induce the expression of genes (for recent reviews see (Semenza, 2009; Haase, 2010)). Besides stabilization, HIF-alpha subunits are also controlled at the transcriptional level (Görlach, 2009; Semenza, 2009).
In his review Haase (2010) nicely summarizes the experiments that led to the conclusion that HIF-2α is the major regulator of EPO production in liver (fetal) and kidney (adults), but that there are also a variety of different direct and indirect mechanisms. As shown in the scheme provided by Semenza (2009), although at that time related to actions of HIF-1α rather than HIF-2α, it can be seen that hypoxia controlled gene expression regulates not only the expression of EPO but also the expression of proteins whose action is a prerequisite for erythropoiesis such as EPO-receptors, iron transporters mediating intestinal iron reabsorption, and transferrin and transferrin receptors required for iron delivery to peripheral cells.
In the adult, the oxygen sensor controlling EPO production is in the kidney, where the cells producing EPO have been shown to be peritubular fibroblasts in the renal cortex (Maxwell et al., 1993; Eckardt and Kurtz, 2005). EPO production can be induced by two kinds of hypoxia: one is a decreased PO2 in the kidney and in other tissues while the hemoglobin concentration is normal such as in hypoxic hypoxia. The other is called anemic hypoxia, where the hemoglobin concentration is decreased and but arterial PO2 is normal resulting in a decreased venous PO2 (Eckardt and Kurtz, 2005). There appears no difference in the effectiveness to produce EPO between these two situations. A mixture of these conditions might be a situation causing a decreased blood flow to the kidney at normal PO2 and hemoglobin concentration, which should also result in decreased capillary and venous PO2. The exact mechanisms controlling EPO production by the fibroblasts is not fully understood but appears to involve hypoxia-dependent recruitment of fibroblasts located in juxta-medullary and cortical regions (Eckardt et al., 1993).
EPO released into blood has many functions other than stimulating erythropoiesis (for review see Sasaki, 2003). In the bone marrow EPO binds to EPO receptors on progenitor cells in erythroblastic islands (Chasis and Mohandas, 2008), where it stimulates proliferation and prevents apoptotic destruction of newly formed cells (Lee and Percy, 2010). This increases the amount of red blood cells released from the bone marrow per time resulting in increased tEV when the rate of release exceeds red blood cell destruction (see above, sports anemia).
Effects of exercise and training on erythropoiesis
The increased tHb and tEV in trained athletes indicates that exercise stimulates erythropoiesis. An additional marker is the elevation of reticulocytes counts which can be observed within 1–2 days (Schmidt et al., 1988) after endurance (Convertino, 1991) and strength training units (Schobersberger et al., 1990). Despite apparent effects of single training units on red blood cell production several studies show that reticulocyte counts in athletes are not much different from sedentary controls (Lombardi et al., 2013) and values appear quite stable over years (Banfi et al., 2011; Diaz et al., 2011). There is, however, significant variation of reticulocyte counts in athletes during the year showing in general higher reticulocyte counts at the beginning of a season but lower values after intensive training sessions, competitions, and at the end of a season (Banfi et al., 2011). Nevertheless, markers of pre-mature forms of reticulocytes are increased in athletes, which is indicative of stimulated bone marrow (Diaz et al., 2011; Jelkmann and Lundby, 2011).
Whereas the control of erythropoiesis in hypoxic and anemic hypoxia is well-understood, the signals stimulating erythropoiesis upon training in normoxia are unclear. Exposure to hypoxia causes a fast increase in EPO (Eckardt et al., 1989), but no or only minor changes in EPO have been observed after exercise of different modalities in untrained and trained individuals (Schmidt et al., 1991; Bodary et al., 1999), whereas the time course of change in reticulocyte count is similar to effects of high altitude (Schmidt et al., 1988; Mairbäurl et al., 1990). The higher reticulocyte counts, a decreased mean red blood cell buoyant density and mean corpuscular hemoglobin concentration, and increased levels of other markers of a decreased mean red blood cell age (higher 2,3-DPG and P50, higher red blood cell enzyme activities and creatine) have been found in peripheral blood from trained individuals (Mairbäurl et al., 1983; Schmidt et al., 1988), which are all indicators of an increased red blood cell turnover (Schmidt et al., 1988; Smith, 1995) and thus stimulated erythropoiesis. These newly formed red blood cells ease the passage of blood through capillaries because of a higher membrane fluidity and deformability of (Kamada et al., 1993).
Arguments for hypoxia as the relevant trigger for exercise induced erythropoiesis are sparse, and are at best indirect. Even during heavy exercise there is only a small decrease in arterial PO2 (see chapter 2, arterial O2 loading) that by itself will barely be sufficient to cause relevant renal EPO production. There is, however, a considerable decrease in renal blood flow with increasing exercise intensity that decreases renal O2 supply (for an excellent review on splanchnic blood flow regulation in exercise see Laughlin et al., 2012). The O2 supply to renal tubules might be further decreased, because renal cortical arteries and veins run parallel allowing exchange diffusion of O2 that may cause arterial deoxygenation. PO2 in cortical veins is low because of the high oxygen consumption required for Na+ and water reabsorption of renal cortical epithelial cells (Eckardt and Kurtz, 2005). It can therefore be speculated that the decreased flow during exercise further decreases renal cortical PO2 to a level causing significant hypoxia of the peritubular, EPO producing fibroblasts during exercise, and that this effect is aggravated as exercise intensity increases. Interestingly, training attenuates the decrease in renal blood flow, which seems more pronounced following endurance than high-intensity interval sprint training in rats (Musch et al., 1991; Padilla et al., 2011), which might explain the weak erythropoietic response in highly trained athletes.
A variety of humoral factors known to affect erythropoiesis also change during exercise. Androgens are long known for their stimulatory effect on erythropoiesis by stimulation of EPO release, increasing bone marrow activity, and iron incorporation into the red cells, which is best indicated by polycythemia as a consequence of androgen therapy (Shahidi, 1973; Shahani et al., 2009). Endurance exercise and resistance training cause a transient increase in testosterone levels in men and women (Hackney, 2001; Enea et al., 2009). Post-exercise values vary with exercise intensity in both genders. Interestingly, post-exercise testosterone levels also directly change with mood (win vs. loss), which seems more pronounced in men than women (for review see Shahani et al., 2009).
Stress hormones such as catecholamines and cortisol stimulate the release of reticulocytes from the bone marrow and possibly also enhance erythropoiesis (Dar et al., 2011; Hu and Lin, 2012). Erythropoiesis is also stimulated by growth hormone and insulin-like growth factors (Kurtz et al., 1988; Christ et al., 1997) which also increase during exercise (Hakkinen and Pakarinen, 1995; Schwarz et al., 1996).
Hematocrit not only affects the amount of O2 that can be carried per volume of blood but also affects the rheological properties of blood. Due to its composition of plasma and blood cells it behaves as a non-Newtonian fluid, whose inner viscosity is affected by the shear forces and is determined by the concentration of plasma proteins (plasma viscosity), the physico-chemical properties of the red blood cell plasma membrane (deformability) and cellular hemoglobin concentration (cytosolic viscosity), the flow velocity (aggregation), and temperature (for review see El-Sayed et al., 2005). A high blood viscosity causes a high resistance to flow, increases the power output of the heart at a given cardiac output, and might impair local blood flow.
Because of the axial migration of blood cells when blood is moved with a high velocity it has been argued that plasma viscosity is the major determinant of whole blood viscosity (Rand et al., 1970). It is determined by the concentration of plasma proteins. The effect of altered hematocrit on blood viscosity is less clear. In vitro, a linear relation between blood viscosity and hematocrit values between 20% and 60% has been reported, when the shear stress is low (Chien et al., 1966), which is likely due to aggregation of red blood cells (Chien et al., 1967). Aggregation varies inversely with the flow velocity (Loewe and Barbenel, 1988) and is favored by fibrogen and immune-globulins binding to the red blood cells, whereas a role for albumin is less clear (Reinhart and Nagy, 1995). The high deformability of the red blood cells facilitates blood flow even at high hematocrit, particularly in the microcirculation. In fact, improved deformability contributes to the decrease in viscosity at high shear rates (El-Sayed et al., 2005). In contrast, increased osmolality decreases deformability by an increase of internal viscosity and altered surface-to-volume ratio although effects are small in the physiological range of changes in red blood cell hemoglobin concentration (Mohandas et al., 1980). Deformability of red blood cells has a temperature optimum in the physiological range and decreases significantly at temperatures below 35°C and above 45°C (Hanss and Koutsouris, 1984), which seems to be mainly determined by the lipid composition of the plasma membrane (Heath et al., 1982), whereas variations of the intracellular hemoglobin concentration within the physiological range do not affect deformability (Mohandas and Chasis, 1993).
Exercise and training affect all of the above mentioned determinants of whole blood viscosity. There is a well-documented increase in whole blood viscosity during exercise which reverses rapidly (for review see El-Sayed et al., 2005). It is mostly due to hemo-concentration and dehydration (Platt et al., 1981; Galea and Davidson, 1985; Vandewalle et al., 1988; Geor et al., 1994; Yalcin et al., 2000). Results on exercise induced changes in the deformability of red blood cells are divergent and indicate decreased (most reports; e.g., Platt et al., 1981; Geor et al., 1994; van der Brug et al., 1995; Bouix et al., 1998; Smith et al., 2013), unchanged (Neuhaus et al., 1992), and increased deformability (Gurcan et al., 1998) (for review see El-Sayed et al., 2005). Exercise in hypoxia aggravated the adverse effect on deformability, which was associated with decreased actin and spectrin content and down-regulation of other proteins, and enhanced the response of red blood cells to oxidative stress (Mao et al., 2011). However, the exercise-induced decrease in deformability appears to be independent of oxidants produced by shear stress, because it was not prevented by strong antioxidant prophylaxis (Kayatekin et al., 2005). Studies may be hampered by the fact that PV and osmolality changes may revert rapidly depending on exercise duration and intensity indicating the proper choice of time-points for sampling when blood is collected after rather than during the exercise. Ernst and colleagues nicely report during and after exercise kinetics of blood viscosity and show that deformability of erythrocytes is increased during and normalized within a few hours after exercise (Ernst et al., 1991). The increase in blood lactate during exercise seems not to affect deformability (Simmonds et al., 2013), neither does lactate affect aggregation (Connes et al., 2007). However, there are indications that high lactate impairs deformability in untrained but improves in trained individuals (Connes et al., 2004). Training might decrease blood viscosity by improving the deformability of red blood cells. The membrane fluidity of red blood cells was increased in sprinters and long distance runners (Kamada et al., 1993), which is consistent with the finding that the exercise-induced decreased in deformability was found to be attenuated by training (Ernst, 1987; Yalcin et al., 2000). This might be explained by the higher deformability of newly formed red blood cells (Mairbäurl et al., 1983; Linderkamp et al., 1993). Erythropoietin, which was found slightly elevated (see above) seems to be favorable (Pichon et al., 2013; Zhao et al., 2013), probably by decreasing the mean red blood cell age and young red blood cells having an improved membrane flexibility (Mohandas and Chasis, 1993). In contrast, insulin-like growth factors and growth hormone seem to increase viscosity (Monnier et al., 2000; Connes et al., 2007). In summary, most studies show improved rheological properties of blood in trained individuals (see meta-analysis by Romain et al., 2011).
Together these results indicate that the increase in whole blood viscosity during exercise is caused by the combined effects of increased plasma viscosity and decreased deformability of the red blood cells, and potentially impairs microcirculation and thus O2 delivery to working muscle. Moderation of this effect might be brought about by NO released from endothelium and red blood cells with increased shear stress, because nitrosylation of cytoskeletal proteins in the red blood cell membrane seems to improve deformability (Grau et al., 2013). In contrast, training seems to increase deformability and to decrease whole blood viscosity in support of tissue oxygenation.
Red Blood Cell Mediated Vasodilation
Precise control of regional blood flow is required to match substrate demand and removal of metabolites, which is of particular importance when the metabolic activity is high such as in exercising skeletal muscle. Nitric oxide (NO) is an important signaling molecule that causes local vasodilation. It is typically formed in vascular endothelial cells upon a variety of stimuli, the most important during exercise likely being shear stress (Pohl et al., 1986; Shen et al., 1995). Hemoglobin has been shown to tightly bind NO to form nitrosylhemoglobin (Hb-cys-NO; SNO-Hb) in an O2 saturation dependent manner with higher affinity for deoxyhemoglobin, a reaction that also causes formation of Met-Hb (Gow and Stamler, 1998; Grubina et al., 2007). Binding has been interpreted as a sink for NO produced by endothelium to prevent exaggerated and wide-spread vasodilation. However, it has also been hypothesized that Hb not only binds but also releases and/or produces NO from SNO-Hb to cause local vasodilation (Robinson and Lancaster, 2005).
It has been shown experimentally that NO released from red blood cells causes vasodilation when the shear stress is increased and when the tissue is made hypoxic (Ulker et al., 2013). Red blood cells produce bioactive NO equivalents in an O2 saturation, pH, and redox-state dependent manner, which appears to be an allosteric, autocatalytic reaction with characteristics of a nitrite reductase reaction (for review see Gladwin and Kim-Shapiro, 2008). When nitrite is added to fully deoxygenated Hb, NO is released and Met-Hb is formed (Gladwin and Kim-Shapiro, 2008). Bioactivity is indicated by the notion that upon nitrate infusion, NO binding to hemoglobin and vasodilation are tightly coupled and are favored by hypoxia (Crawford et al., 2006). Kleinbongard et al. (2006) presented immune-histochemical and functional evidence of the presence of an endothelial NO-synthase type of enzyme in human and mouse red blood cells indicating the potential to produce NO from L-arginine. It is unclear, however, whether this reaction is active in controlling microcirculation in working skeletal muscle (which generates a low oxygen environment because of its requirement for oxygen).
ATP in plasma is another stimulus for endothelial NO production (Sprague et al., 1996). ATP is released from many cells where it modifies a variety of functions (Praetorius and Leipziger, 2009). Local vasodilation has been shown to depended on the presence of red blood cells (Dietrich et al., 2000). Thus, it has been hypothesized that red blood cells release ATP and cause an NO-dependent increase in blood flow (Gonzalez-Alonso et al., 2002). ATP release is not only an in vitro phenomenon but has also been demonstrated vivo, where elevated ATP has been found in the venous effluent from exercising forearm muscle (Forrester, 1972; Ellsworth et al., 1995). This effect was even enhanced when exercise was performed in hypoxia (Gonzalez-Alonso et al., 2002).
The major stimulus for ATP release from red blood cells seems to be mechanical deformation (Sprague et al., 1996; Ellsworth et al., 2009), where ATP release seems to depend on the shear rate (Mairbäurl et al., 2013). Also in vitro hypoxia stimulates the release of ATP from red blood cells (Bergfeld and Forrester, 1992). Futhermore, hypoxia greatly enhances ATP release induced by shear stress indicating that effects are additive (Mairbäurl et al., 2013). Other stimulators of ATP release from red blood cells are beta adrenergic stimulators and prostacyclin (Olearczyk et al., 2001), and an increase in temperature (Kalsi and Gonzalez-Alonso, 2012). The exact release mechanism is unclear. An involvement of CFTR has been discussed (Sprague et al., 1998) but it is unclear whether CFTR is actually present in human red blood cells. A variety of other mechanisms for ATP release have been described (for review see Praetorius and Leipziger, 2009), some of which seem to involve pannexin1- (Qiu and Dahl, 2009; Qiu et al., 2011). Intravascular hemolysis seems not to contribute significantly to ATP release from erythrocytes exposed to shear-stress (Mairbäurl et al., 2013).
Taken together these results indicate that red blood cells support local vasodilation in tissues with a high O2 demand by directly mediating NO release and enzymatic production and by release of ATP, which causes NO release from endothelial cells by mechanisms, which are greatly enhanced in exercise when shear stress is increased by increased blood flow, O2 is low due to increased consumption, and the increase in temperature.
There are many mechanisms that contribute to an increased tissue oxygen supply during exercise. Figure 3 summarizes those, where red blood cell are involved. They involve adjustments during exercise and to training. During exercise the increased O2 demand of skeletal muscle is mainly matched by increasing muscle blood flow by increasing cardiac output, by modulating blood flow distribution among active and inactive organs, and by optimizing microcirculation (Laughlin et al., 2012). Red blood cells support local blood flow by providing the vasodilator NO by direct conversion from nitrate and by release of ATP causing endothelial NO release. At any given capillary blood flow the amount of O2 unloaded from Hb to the cells of working muscle can be increased greatly by decreasing Hb-O2 affinity. This happens as the cells enter the capillaries supplying the muscle cells, where they are exposed to increased temperature, H+ and CO2. Training further enhances O2 flux to the working muscle at all levels of regulation: It increases maximal cardiac output, improves blood flow to the muscles by stimulating vascularization, and improves the rheological properties of red blood cells. Training increases total hemoglobin mass by stimulating erythropoiesis, which increases the amount of O2 that can be carried by blood. It also increases red blood cell 2,3-DPG, which increases the sensitivity of Hb-O2 affinity to acidification dependent O2-release. The system appears to be optimized for exercise at low altitude, because in an hypoxic environment the decreased arterial PO2, which is the major determinant for O2 diffusion, cannot be compensated adequately by the above mentioned O2 transport mechanisms resulting in a decrease in performance with increasing degree of hypoxia (Cerretelli and DiPrampero, 1985).
Figure 3. Schematic presentation of mechanisms increasing muscle oxygen supply acutely during exercise and by training discussed in this review. During exercise local blood flow is increased by mediators causing local vasodilation, which is supported by red blood cell-mediated NO production. Acidosis, CO2 and hyperthermia decrease Hb-O2-affinity and enhance O2 release from its bond to hemoglobin. These improvements may in part be blunted by increased blood viscosity (not shown in scheme). Training stimulates erythropoiesis to increase the O2-transport capacity. The newly formed cells also have an improved deformability which facilitates muscle blood flow. Training also increases red blood cell 2,3-DPG (not shown), which further enhances O2 release from Hb.
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Benesch, R., and Benesch, R. E. (1967). The effect of organic phosphates from human erythrocytes on the allosteric properties of hemoglobin. Biochem. Biophys. Res. Commun. 26, 162–167. doi: 10.1016/0006-291X(67)90228-8
Bodary, P. F., Pate, R. R., Wu, Q. O. F., and McMillan, G. S. (1999). Effects of acute exercise on plasma erythropoietin levels in trained runners. Med. Sci. Sports Exerc. 31, 543–546. doi: 10.1097/00005768-199904000-00008
Böning, D., Mrugalla, M., Maassen, N., Busse, M., and Wagner, T. O. (1988). Exercise versus immersion: antagonistic effects on water and electrolyte metabolism during swimming. Eur. J. Appl. Physiol. Occup. Physiol. 57, 248–253. doi: 10.1007/BF00640671
Böning, D., Schweigart, U., Tibes, U., and Hemmer, B. (1975). Influences of exercise and endurance training on the oxygen dissociation curve of blood under in vivo and in vitro conditions. Eur. J. Appl. Physiol. 34, 1–10. doi: 10.1007/BF00999910
Bouix, D., Peyreigne, C., Raynaud, E., Monnier, J. F., Micallef, J. P., and Brun, J. F. (1998). Relationships among body composition, hemorheology and exercise performance in rugbymen. Clin. Hemorheol. Microcirc. 19, 245–254.
Calbet, J. A., Lundby, C., Koskolou, M., and Boushel, R. (2006). Importance of hemoglobin concentration to exercise: acute manipulations. Respir. Physiol. Neurobiol. 151, 132–140. doi: 10.1016/j.resp.2006.01.014
Calbet, J. A., Robach, P., Lundby, C., and Boushel, R. (2008). Is pulmonary gas exchange during exercise in hypoxia impaired with the increase of cardiac output. Appl. Physiol. Nutr. Metab. 33, 593–600. doi: 10.1139/H08-010
Cerretelli, P., and DiPrampero, P. E. (1985). “Aerobic and anaerobic metabolism during exercise at altitude,” in High Altitude Deterioration, eds J. Rivolier, P. Cerretelli, J. Foray and P. Segantini (Basel: Karger), 1–19.
Chien, S., Usami, S., Dellenback, R. J., Gregersen, M. I., Nanninga, L. B., and Guest, M. M. (1967). Blood viscosity: influence of erythrocyte aggregation. Science 157, 829–831. doi: 10.1126/science.157.3790.829
Christ, E. R., Cummings, M. H., Westwood, N. B., Sawyer, B. M., Pearson, T. C., Sonksen, P. H., et al. (1997). The importance of growth hormone in the regulation of erythropoiesis, red cell mass, and plasma volume in adults with growth hormone deficiency. J. Clin. Endocrinol. Metab. 82, 2985–2990. doi: 10.1210/jc.82.9.2985
Connes, P., Bouix, D., Py, G., Prefaut, C., Mercier, J., Brun, J. F., et al. (2004). Opposite effects of in vitro lactate on erythrocyte deformability in athletes and untrained subjects. Clin. Hemorheol. Microcirc. 31, 311–318.
Connes, P., Caillaud, C., Py, G., Mercier, J., Hue, O., and Brun, J. F. (2007). Maximal exercise and lactate do not change red blood cell aggregation in well trained athletes. Clin. Hemorheol. Microcirc. 36, 319–326.
Costill, D. L., Branam, G., Fink, W., and Nelson, R. (1976). Exercise induced sodium conservation: changes in plasma renin and aldosterone. Med. Sci. Sports 8, 209–213. doi: 10.1249/00005768-197600840-00001
Crawford, J. H., Isbell, T. S., Huang, Z., Shiva, S., Chacko, B. K., Schechter, A. N., et al. (2006). Hypoxia, red blood cells, and nitrite regulate NO-dependent hypoxic vasodilation. Blood 107, 566–574. doi: 10.1182/blood-2005-07-2668
Dar, A., Schajnovitz, A., Lapid, K., Kalinkovich, A., Itkin, T., Ludin, A., et al. (2011). Rapid mobilization of hematopoietic progenitors by AMD3100 and catecholamines is mediated by CXCR4-dependent SDF-1 release from bone marrow stromal cells. Leukemia 25, 1286–1296. doi: 10.1038/leu.2011.62
Davies, J. E., and Brewer, N. (1935). Effect of physical training on blood volume, hemoglobin, alkali reserve and osmotic resistance of erythrocytes. Am. J. Physiol. 113, 586–591. doi: 10.3181/00379727-32-8059P
Diaz, V., Lombardi, G., Ricci, C., Jacobs, R. A., Montalvo, Z., Lundby, C., et al. (2011). Reticulocyte and haemoglobin profiles in elite triathletes over four consecutive seasons. Int. J. Lab. Hematol. 33, 638–644. doi: 10.1111/j.1751-553X.2011.01348.x
Dietrich, H. H., Ellsworth, M. L., Sprague, R. S., and Dacey, R. G. Jr. (2000). Red blood cell regulation of microvascular tone through adenosine triphosphate. Am. J. Physiol. Heart Circ. Physiol. 278, H1294–H1298.
Dressendorfer, R. H., Wade, C. E., and Frederick, E. C. (1992). Effect of shoe cushioning on the development of reticulocytosis in distance runners. Am. J. Sports Med. 20, 212–216. doi: 10.1177/036354659202000221
Eckardt, K. U., Boutellier, U., Kurtz, A., Schopen, M., Koller, E. A., and Bauer, C. (1989). Rate of erythropoietin formation in humans in response to acute hypobaric hypoxia. J. Appl. Physiol. 66, 1785–1788.
Eckardt, K. U., Koury, S. T., Tan, C. C., Schuster, S. J., Kaissling, B., Ratcliffe, P. J., et al. (1993). Distribution of erythropoietin producing cells in rat kidneys during hypoxic hypoxia. Kidney Int. 43, 815–823. doi: 10.1038/ki.1993.115
Ellsworth, M. L., Ellis, C. G., Goldman, D., Stephenson, A. H., Dietrich, H. H., and Sprague, R. S. (2009). Erythrocytes: oxygen sensors and modulators of vascular tone. Physiology 24, 107–116. doi: 10.1152/physiol.00038.2008
Enea, C., Boisseau, N., Ottavy, M., Mulliez, J., Millet, C., Ingrand, I., et al. (2009). Effects of menstrual cycle, oral contraception, and training on exercise-induced changes in circulating DHEA-sulphate and testosterone in young women. Eur. J. Appl. Physiol 106, 365–373. doi: 10.1007/s00421-009-1017-6
Friedmann, B., Frese, F., Menold, E., Kauper, F., Jost, J., and Bartsch, P. (2005). Individual variation in the erythropoietic response to altitude training in elite junior swimmers. Br. J. Sports Med. 39, 148–153. doi: 10.1136/bjsm.2003.011387
Friedmann, B., Jost, J., Rating, T., Weller, E., Werle, E., Eckardt, K.-U., et al. (1999). Effects of iron supplementation on total body hemoglobin during endurance training at moderate altitude. Int. J. Sports Med. 20, 78–85.
Gonzalez-Alonso, J., Olsen, D. B., and Saltin, B. (2002). Erythrocyte and the regulation of human skeletal muscle blood flow and oxygen delivery: role of circulating ATP. Circ. Res. 91, 1046–1055. doi: 10.1161/01.RES.0000044939.73286.E2
Grau, M., Pauly, S., Ali, J., Walpurgis, K., Thevis, M., Bloch, W., et al. (2013). RBC-NOS-dependent S-nitrosylation of cytoskeletal proteins improves RBC deformability. PLoS ONE 8:e56759. doi: 10.1371/journal.pone.0056759
Gruber, M., Hu, C. J., Johnson, R. S., Brown, E. J., Keith, B., and Simon, M. C. (2007). Acute postnatal ablation of Hif-2alpha results in anemia. Proc. Natl. Acad. Sci. U.S.A. 104, 2301–2306. doi: 10.1073/pnas.0608382104
Grubina, R., Huang, Z., Shiva, S., Joshi, M. S., Azarov, I., Basu, S., et al. (2007). Concerted nitric oxide formation and release from the simultaneous reactions of nitrite with deoxy- and oxyhemoglobin. J. Biol. Chem. 282, 12916–12927. doi: 10.1074/jbc.M700546200
Gurcan, N., Erbas, D., Ergen, E., Bilgehan, A., Dundar, S., Aricioglu, A., et al. (1998). Changes in blood haemorheological parameters after submaximal exercise in trained and untrained subjects. Physiol. Res. 47, 23–27.
Hackney, A. C. (2001). Endurance exercise training and reproductive endocrine dysfunction in men: alterations in the hypothalamic-pituitary-testicular axis. Curr. Pharm. Des 7, 261–273. doi: 10.2174/1381612013398103
Hagberg, J. M., Goldberg, A. P., Lakatta, L., F.C.O'Connor, Becker, L. C., Lakatta, E. G., et al. (1998). Expanded blood volumes contribute to the increased cardiovascular performance of endurance-trained older men. J. Appl. Physiol. 85, 484–489.
Hebbel, R. P., Eaton, J. W., Kronenberg, R. S., Zanjani, E. D., Moore, L. G., and Berger, E. M. (1978). Human Llamas. Adaptation to altitude in subjects with high hemoglobin oxygen affinity. J. Clin. Invest. 62, 593–600. doi: 10.1172/JCI109165
Heinicke, K., Heinicke, I., Schmidt, W., and Wolfarth, B. (2005). A three-week traditional altitude training increases hemoglobin mass and red cell volume in elite biathlon athletes. Int. J. Sports Med. 26, 350–355. doi: 10.1055/s-2004-821052
Heinicke, K., Wolfarth, B., Winchenbach, P., Biermann, B., Schmid, A., Huber, G., et al. (2001). Blood volume and hemoglobin mass in elite athletes of different disciplines. Int. J. Sports Med. 22, 504–512. doi: 10.1055/s-2001-17613
Hopkins, S. R. (2006). Exercise induced arterial hypoxemia: the role of ventilation-perfusion inequality and pulmonary diffusion limitation. Adv. Exp. Med. Biol. 588, 17–30. doi: 10.1007/978-0-387-34817-9_3
Hu, C. J., Wang, L. Y., Chodosh, L. A., Keith, B., and Simon, M. C. (2003). Differential roles of hypoxia-inducible factor 1alpha (HIF-1alpha) and HIF-2alpha in hypoxic gene regulation. Mol. Cell Biol. 23, 9361–9374. doi: 10.1128/MCB.23.24.9361-9374.2003
Kalsi, K. K., and Gonzalez-Alonso, J. (2012). Temperature-dependent release of ATP from human erythrocytes: mechanism for the control of local tissue perfusion. Exp. Physiol. 97, 419–432. doi: 10.1113/expphysiol.2011.064238
Kayatekin, B. M., Uysal, N., Resmi, H., Bediz, C. S., Temiz-Artmann, A., Genc, S., et al. (2005). Does antioxidant supplementation alter the effects of acute exercise on erythrocyte aggregation, deformability and endothelium adhesion in untrained rats. Int. J. Vitam. Nutr. Res. 75, 243–250. doi: 10.1024/0300-9818.104.22.168
Kjellberg, S. R., Rudhe, U., and Sjostrand, T. (1949). Increase of the amount of hemoglobin and blood volume in connection with physical training. Acta Physiol. Scand. 19, 146–152. doi: 10.1111/j.1748-1716.1949.tb00146.x
Kleinbongard, P., Schulz, R., Rassaf, T., Lauer, T., Dejam, A., Jax, T., et al. (2006). Red blood cells express a functional endothelial nitric oxide synthase. Blood 107, 2943–2951. doi: 10.1182/blood-2005-10-3992
Kurtz, A., Zapf, J., Eckardt, K. U., Clemons, G., Froesch, E. R., and Bauer, C. (1988). Insulin-like growth factor I stimulates erythropoiesis in hypophysectomized rats. Proc. Natl. Acad. Sci. U.S.A. 85, 7825–7829. doi: 10.1073/pnas.85.20.7825
Linderkamp, O., Friederichs, E., and Meiselman, H. J. (1993). Mechanical and geometrical properties of density-separated neonatal and adult erythrocytes. Pediatr. Res. 34, 688–693. doi: 10.1203/00006450-199311000-00024
Magnusson, B., Hallberg, L., Rossander, L., and Swolin, B. (1984). Iron metabolism and “sports anemia”. II. A hematological comparison of elite runners and control subjects. Acta Med. Scand. 216, 157–164. doi: 10.1111/j.0954-6820.1984.tb03787.x
Mairbäurl, H., and Humpeler, E. (1980). Diminution of the temperature effect on the oxygen affinity of hemoglobin after prolonged hypothermia. Pflügers Arch. Eur. J. Physiol. 383, 209–213. doi: 10.1007/BF00587520
Mairbäurl, H., Ruppe, F. A., and Bartsch, P. (2013). Role of hemolysis in red cell ATP release in simulated exercise conditions in vitro. Med. Sci. Sports Exerc. 45, 1941–1947. doi: 10.1249/MSS.0b013e318296193a
Mairbäurl, H., Schobersberger, W., Hasibeder, W., Schwaberger, G., Gaesser, G., and Tanaka, K. R. (1986). Regulation of red cell 2, 3-DPG and Hb-O2-affinity during acute exercise. Eur. J. Appl. Physiol. 55, 174–180. doi: 10.1007/BF00715001
Mairbäurl, H., Schobersberger, W., Oelz, O., Bärtsch, P., Eckardt, K. U., and Bauer, C. (1990). Unchanged in-vivo P50 at high altitude despite decreased red cell age and elevated 2, 3-DPG. J. Appl. Physiol. 68/3, 1186–1194.
Mao, T. Y., Fu, L. L., and Wang, J. S. (2011). Hypoxic exercise training causes erythrocyte senescence and rheological dysfunction by depressed Gardos channel activity. J. Appl. Physiol. 111, 382–391. doi: 10.1152/japplphysiol.00096.2011
Maxwell, P. H., Osmond, M. K., Pugh, C. W., Heryet, A., Nicholls, L. G., Tan, C. C., et al. (1993). Identification of the renal erythropoietin-producing cells using transgenic mice. Kidney Int. 44, 1149–1162. doi: 10.1038/ki.1993.362
Milledge, J. S., Bryson, E. I., Catley, D. M., Hesp, R., Luff, N., Minty, B. D., et al. (1982). Sodium balance, fluid homeostasis and the renin-aldosterone system during the prolonged exercise of hill walking. Clin. Sci. 62, 595–604.
Mirand, E. A., and Prentice, T. C. (1957). Presence of plasma erythropoietin in hypoxic rats with or without kidney (s) and/or spleen. Proc. Soc. Exp. Biol. Med. 96, 49–51. doi: 10.3181/00379727-96-23390
Mohandas, N., and Chasis, J. A. (1993). Red blood cell deformability, membrane material properties and shape - regulation by transmembrane, skeletal and cytosolic proteins and lipids. Semin. Hematol. 30, 171–192.
Monnier, J. F., Benhaddad, A. A., Micallef, J. P., Mercier, J., and Brun, J. F. (2000). Relationships between blood viscosity and insulin-like growth factor I status in athletes. Clin. Hemorheol. Microcirc. 22, 277–286.
Nakatsuji, T., Oda, S., Fujita, H., Matsumoto, N., and Miwa, S. (1978). [So-called march hemoglobinuria caused by “kendo” exercise: a report of two cases (author's author's transl)]. Rinsho Ketsueki 19, 1241–1246.
Olearczyk, J. J., Stephenson, A. H., Lonigro, A. J., and Sprague, R. S. (2001). Receptor-mediated activation of the heterotrimeric G-protein Gs results in ATP release from erythrocytes. Med. Sci. Monit. 7, 669–674.
Padilla, J., Simmons, G. H., Bender, S. B., Arce-Esquivel, A. A., Whyte, J. J., and Laughlin, M. H. (2011). Vascular effects of exercise: endothelial adaptations beyond active muscle beds. Physiology. (Bethesda.) 26, 132–145. doi: 10.1152/physiol.00052.2010
Parisotto, R., Gore, C. J., Emslie, K. R., Ashenden, M. J., Brugnara, C., Howe, C., et al. (2000). A novel method utilising markers of altered erythropoiesis for the detection of recombinant human erythropoietin abuse in athletes. Haematologica 85, 564–572.
Pichon, A., Lamarre, Y., Voituron, N., Marchant, D., Vilar, J., Richalet, J. P., et al. (2013). Red blood cell deformability is very slightly decreased in erythropoietin deficient mice. Clin. Hemorheol. Microcirc. doi: 10.3233/CH-121654. [Epub ahead of print]
Qiu, F., Wang, J., Spray, D. C., Scemes, E., and Dahl, G. (2011). Two non-vesicular ATP release pathways in the mouse erythrocyte membrane. FEBS Lett. 585, 3430–3435. doi: 10.1016/j.febslet.2011.09.033
Robach, P., and Lundby, C. (2012). Is live high-train low altitude training relevant for elite athletes with already high total hemoglobin mass. Scand. J. Med. Sci. Sports 22, 303–305. doi: 10.1111/j.1600-0838.2012.01457.x
Robinson, J. M., and Lancaster, J. R. (2005). Hemoglobin-mediated, hypoxia-induced vasodilation via nitri c oxide - Mechanism(S) and physiologic versus pathophysiologic re levance. Am.er. J. Respir. Cell Mol.ec. Biol. 32, 257–261. doi: 10.1165/rcmb.F292
Romain, A. J., Brun, J. F., Varlet-Marie, E., and Raynaud de, M. E. (2011). Effects of exercise training on blood rheology: a meta-analysis. Clin. Hemorheol. Microcirc. 49, 199–205. doi: 10.3233/CH-2011-1469
Roughton, F. J., and Severinghaus, J. W. (1973). Accurate determination of O2 dissociation curve of human blood above 98.7 percent saturation with data on O2 solubility in unmodified human blood from 0 degrees to 37 degrees C. J. Appl. Physiol. 35, 861–869.
Sawka, M. N., Convertino, V. A., Eichner, E. R., Schnieder, S. M., and Young, A. J. (2000). Blood volume: importance and adaptations to exercise training, environmental stresses, and trauma/sickness. Med. Sci. Sports Exerc. 32, 332–348. doi: 10.1097/00005768-200002000-00012
Schmidt, W., Eckardt, K. U., Hilgendorf, A., Strauch, S., and Bauer, C. (1991). Effects of maximal and submaximal exercise under normoxic and hypoxic conditions on serum erythropoietin level. Int. J. Sports Med. 12, 457–461. doi: 10.1055/s-2007-1024713
Schmidt, W., Maassen, N., Trost, F., and Böning, D. (1988). Training induced effects on blood volume, erythrocyte turnover and haemoglobin oxygen binding properties. Eur. J. Appl. Physiol. 57, 490–498. doi: 10.1007/BF00417998
Schobersberger, W., Tschann, M., Hasibeder, W., Steidl, M., Herold, M., Nachbauer, W., et al. (1990). Consequences of 6 weeks of strength training on red cell O2 transport and iron status. Eur. J. Appl. Physiol. Occup. Physiol. 60, 163–168. doi: 10.1007/BF00839152
Schumacher, Y. O., Jankovits, R., Bultermann, D., Schmid, A., and Berg, A. (2002). Hematological indices in elite cyclists. Scand. J. Med. Sci. Sports 12, 301–308. doi: 10.1034/j.1600-0838.2002.10112.x
Schwarz, A. J., Brasel, J. A., Hintz, R. L., Mohan, S., and Cooper, D. M. (1996). Acute effect of brief low- and high-intensity exercise on circulating insulin-like growth factor (IGF) I, II, and IGF-binding protein-3 and its proteolysis in young healthy men. J. Clin. Endocrinol. Metab. 81, 3492–3497. doi: 10.1210/jc.81.10.3492
Scortegagna, M., Ding, K., Zhang, Q., Oktay, Y., Bennett, M. J., Bennett, M., et al. (2005). HIF-2alpha regulates murine hematopoietic development in an erythropoietin-dependent manner. Blood 105, 3133–3140. doi: 10.1182/blood-2004-05-1695
Seamen, C., Wyss, S., and Piomelli, S. (1980). The decline in energetic metabolism with aging of the erythrocyte and its relationship to cell death. Am. J. Hematol. 8, 31–42. doi: 10.1002/ajh.2830080105
Selby, G. B., and Eichner, E. R. (1986). Endurance swimming, intravascular hemolysis, anemia, and iron depletion. New perspective on athlete's anemia. Am. J. Med. 81, 791–794. doi: 10.1016/0002-9343(86)90347-5
Sharpe, K., Hopkins, W., Emslie, K. R., Howe, C., Trout, G. J., Kazlauskas, R., et al. (2002). Development of reference ranges in elite athletes for markers of altered erythropoiesis. Haematologica 87, 1248–1257.
Shen, W., Zhang, X., Zhao, G., Wolin, M. S., Sessa, W., and Hintze, T. H. (1995). Nitric oxide production and NO synthase gene expression contribute to vascular regulation during exercise. Med. Sci. Sports Exerc. 27, 1125–1134. doi: 10.1249/00005768-199508000-00005
Siebenmann, C., Robach, P., Jacobs, R. A., Rasmussen, P., Nordsborg, N., Diaz, V., et al. (2012). “Live high-train low” using normobaric hypoxia: a double-blinded, placebo-controlled study. J. Appl. Physiol. 112, 106–117. doi: 10.1152/japplphysiol.00388.2011
Simmonds, M. J., Connes, P., and Sabapathy, S. (2013). Exercise-induced blood lactate increase does not change red blood cell deformability in cyclists. PLoS. ONE. 8:e71219. doi: 10.1371/journal.pone.0071219
Siri, W. E., Van Dyke, D. C., Winchell, H. S., Pollycove, M., Parker, H. G., and Cleveland, A. S. (1966). Early erythropoietin, blood, and physiological responses to severe hypoxia in man. J. Appl. Physiol. 21, 73–80.
Smith, M. M., Lucas, A. R., Hamlin, R. L., and Devor, S. T. (2013). Associations among hemorheological factors and maximal oxygen consumption. Is there a role for blood viscosity in explaining athletic performance? Clin. Hemorheol. Microcirc. doi: 10.3233/CH-131708. [Epub ahead of print]
Sprague, R. S., Ellsworth, M. L., Stephenson, A. H., Kleinhenz, M. E., and Lonigro, A. J. (1998). Deformation-induced ATP release from red blood cells requires CFTR activity. Am. J. Physiol. Heart Circ. Physiol. 44, H1726–H1732.
Stamler, J. S., Jia, L., Eu, J. P., McMahon, T. J., Demchenko, I. T., Bonaventura, J., et al. (1997). Blood flow regulation by S-nitrosohemoglobin in the physiological oxygen gradient. Science 276, 2034–2037. doi: 10.1126/science.276.5321.2034
Sun, X. G., Hansen, J. E., Ting, H., Chuang, M. L., Stringer, W. W., Adame, D., et al. (2000). Comparison of exercise cardiac output by the Fick principle using oxygen and carbon dioxide. Chest 118, 631–640. doi: 10.1378/chest.118.3.631
Svedenhag, J., Piehl-Aulin, K., Skog, C., and Saltin, B. (1997). Increased left ventricular muscle mass after long-term altitude training in athletes. Acta Physiol Scand. 161, 63–70. doi: 10.1046/j.1365-201X.1997.00204.x
Thomsen, J. K., Fogh-Andersen, N., Bülow, K., and Devantier, A. (1991). Blood and plasma volumes determined by carbon monoxide gas, 99mTc-labeled erythrocytes, 125I-albumin and the T (1824). Technique. Scan. J. Clin. Lab. Invest. 51, 185–190. doi: 10.3109/00365519109091106
Ulker, P., Gunduz, F., Meiselman, H. J., and Baskurt, O. K. (2013). Nitric oxide generated by red blood cells following exposure to shear stress dilates isolated small mesenteric arteries under hypoxic conditions. Clin. Hemorheol. Microcirc. 54, 357–369. doi: 10.3233/CH-2012-1618
van der Brug, G. E., Peters, H. P., Hardeman, M. R., Schep, G., and Mosterd, W. L. (1995). Hemorheological response to prolonged exercise–no effects of different kinds of feedings. Int. J. Sports Med. 16, 231–237. doi: 10.1055/s-2007-972997
Vandewalle, H., Lacombe, C., Lelievre, J. C., and Poirot, C. (1988). Blood viscosity after a 1-h submaximal exercise with and without drinking. Int. J. Sports Med. 9, 104–107. doi: 10.1055/s-2007-1024988
Weber, R. E., and Fago, A. (2004). Functional adaptation and its molecular basis in vertebrate hemoglobins, neuroglobins and cytoglobins. Respir. Physiol. Neurobiol. 144, 141–159. doi: 10.1016/j.resp.2004.04.018
Yoshimura, H., Inoue, T., Yamada, T., and Shiraki, K. (1980). Anemia during hard physical training (sports anemia) and its causal mechanism with special reference to protein nutrition. World Rev. Nutr. Diet 35, 1–86.
Keywords: Hb-O2 affinity, blood gasses, 2,3-DPG, erythropoiesis, hypoxia inducible factor, ATP, NO, intravascular hemolysis
Citation: Mairbäurl H (2013) Red blood cells in sports: effects of exercise and training on oxygen supply by red blood cells. Front. Physiol. 4:332. doi: 10.3389/fphys.2013.00332
Received: 30 September 2013; Accepted: 25 October 2013;
Published online: 12 November 2013.
Edited by:Anna Bogdanova, University of Zurich, Switzerland
Reviewed by:Giovanni Lombardi, I.R.C.C.S. Galeazzi Scientific Institute, Italy
Philippe Connes, UMR Inserm 665 Red Blood Cell Integrative Biology, Guadeloupe
Copyright © 2013 Mairbäurl. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Heimo Mairbäurl, Medical Clinic VII, Sports Medicine, University of Heidelberg, INF 410, 69120 Heidelberg, Germany e-mail: email@example.com