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Am J Physiol Regul Integr Comp Physiol 277: R173-R180, 1999;
0363-6119/99 $5.00
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Vol. 277, Issue 1, R173-R180, July 1999

Myoglobin desaturation with exercise intensity in human gastrocnemius muscle

Paul A. Molé1, Youngran Chung2, Tuan Khanh Tran2, Napapon Sailasuta3, Ralph Hurd3, and Thomas Jue2

Departments of 1 Exercise Science and 2 Biological Chemistry, University of California Davis, Davis, 95616; and 3 General Electric Medical Systems, Inc., Fremont, California 94539


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

The present study evaluated whether intracellular partial pressure of O2 (PO2) modulates the muscle O2 uptake (VO2) as exercise intensity increased. Indirect calorimetry followed VO2, whereas nuclear magnetic resonance (NMR) monitored the high-energy phosphate levels, intracellular pH, and intracellular PO2 in the gastrocnemius muscle of four untrained subjects at rest, during plantar flexion exercise with a constant load at a repetition rate of 0.75, 0.92, and 1.17 Hz, and during postexercise recovery. VO2 increased linearly with exercise intensity and peaked at 1.17 Hz (15.1 ± 0.37 watts), when the subjects could maintain the exercise for only 3 min. VO2 reached a peak value of 13.0 ± 1.59 ml O2 · min-1 · 100 ml leg volume-1. The 31P spectra indicated that phosphocreatine decreased to 32% of its resting value, whereas intracellular pH decreased linearly with power output, reaching 6.86. Muscle ATP concentration, however, remained constant throughout the exercise protocol. The 1H NMR deoxymyoglobin signal, reflecting the cellular PO2, decreased in proportion to increments in power output and VO2. At the highest exercise intensity and peak VO2, myoglobin was ~50% desaturated. These findings, taken together, suggest that the O2 gradient from hemoglobin to the mitochondria can modulate the O2 flux to meet the increased VO2 in exercising muscle, but declining cellular PO2 during enhanced mitochondrial respiration suggests that O2 availability is not limiting VO2 during exercise.

bioenergetics; oxygen; nuclear magnetic resonance; metabolism


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

DURING EXERCISE, the ability of the working muscle in healthy individuals to increase its O2 uptake (VO2) is limited by either a central or a peripheral mechanism (37). The central mechanism represents the systemic increase in O2 delivery to the muscle, which includes enhanced blood flow through the capillaries. The peripheral mechanism focuses on the diffusion of O2 from hemoglobin (Hb) to the mitochondria and the metabolic regulation of oxidative phosphorylation. Proponents of a central mechanism point out a tight correlation between VO2 and blood flow (Q) while others have countered that such a mechanism cannot account for the large residual venous PO2 at maximal O2 uptake (VO2 max; see Refs. 13-15, 40). In the latter group's view, convective control is only secondary to diffusion control. Despite numerous studies, the limiting mechanism for VO2 is still under debate.

Even though both models entail an O2 gradient role, the diffusion model emphasizes the gradient from the capillary to the mitochondria, which is a driving force of O2 transport. Analysis of the role of gradients, however, requires a measurement of the mean end-capillary and the cellular partial pressure of O2 (PO2). For the cellular PO2, studies have assumed that the mitochondrial PO2 is approximately zero. Such an assumption is dictated largely by the current limitation in observing quantitatively the cellular PO2 in muscle during exercise. Honig et al. (16) have already demonstrated in cryosection experiments that, even though the intracellular PO2 is quite low, it does decrease with exercise intensity (16). The observation implies that the cell can modulate its O2 gradient and suggests that myoglobin (Mb)-facilitated diffusion, which becomes increasingly pronounced as the cellular PO2 falls, contributes significantly to O2 transport to the mitochondria (11, 46).

The intracellular PO2 during exercise is then a key variable in helping to determine the regulatory mechanism of VO2 in exercising muscle. In addition, the intracellular PO2 response during exercise can help clarify the hypothesis that O2 supply limits VO2 max. If the critical PO2 in the cell is less than ~2.9 mmHg (Mb p50 at 39°C), then the PO2 at the mitochondria is estimated to be at the Michaelis constant of the cytrochrome oxidase activity (3, 43). The cellular O2 supply can then limit the aerobic capacity of working muscles without metabolic limitation, which can modulate the phosphorylation potential and redox state (8, 45). However, if the critical intracellular PO2 is well above 2.9 mmHg, then cytochrome oxidase is saturated even at VO2 max, suggesting that O2 alone is not modulating mitochondrial respiration (25). Unfortunately, measurement of intracellular PO2 in human skeletal muscle during intense exercise poses a formidable technical challenge.

In recent years, 1H NMR has presented an approach to measure the intracellular PO2 with the Mb signals, first in myocardium and subsequently in skeletal muscle (19, 21, 42). In fact, one study has now shown that Mb desaturates rapidly to 51 and 60% of control under normoxic and hypoxic exercise conditions, respectively; yet, surprisingly, Mb desaturation is not proportional to increased work output (32). The results are provocative and have significant impact on the current view of respiratory control in muscle. They compel us to reexamine the relationship between work output and Mb desaturation in a plantar flexion exercise protocol, which is less prone to motional artifact than the reported quadricep exercise. As a result, the NMR data are much improved and show that both the 1H-deoxy-Mb and 31P high-energy phosphate signal intensities change in proportion to power output or VO2. At VO2 max, Mb is 48% desaturated. The present study's results indicate that the cellular PO2 can modulate the O2 gradient and that Mb-facilitated diffusion may play a significant role in regulating VO2. Moreover, O2 availability does not appear to limit VO2 during exercise.


    MATERIALS AND METHODS
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

Experimental design. The protocol for this study was reviewed and approved by the Human Subjects Welfare Committee of the University of California, Davis. Four young adult men (Table 1) were recruited from the student body of the university. All were untrained volunteers, who gave written consent to participate in this study. They were informed of the procedures, requirements, and risks. Each subject reported to the laboratory several times to practice plantar flexion exercise and to become familiar with breathing through the respiratory apparatus. During this time, the exercise intensity was adjusted so that the subject could reach peak O2 uptake (VO2 peak).

                              
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Table 1.   Subject characteristics

Two sessions were required to complete this study. Session I was conducted in the Human Performance Laboratory and involved characterizing each subject's body composition, steady-state VO2 at several intensities of plantar flexion exercise, and VO2 peak for plantar flexion exercise. A fiberglass (ScotchCast; 3M) cast was made from the subject's lower leg from below the knee to the ankle. The cast was used as another means to calibrate the percent desaturation of the deoxy-Mb signal and to estimate the lower leg volume, which was then used to normalize the net change in VO2. Session II was performed at the nuclear magnetic resonance (NMR) Research Facility at General Electric (GE) Medical Systems (Fremont, CA) and involved duplicate protocols for plantar flexion exercise for determination of metabolic phosphates by 31P NMR and deoxy-Mb by 1H NMR. Both protocols corresponded to the protocol performed in session I.

Body composition. Air displacement plethysmography was employed to determine body composition with the BOD POD instrument (LMI, Concord, CA). The method has been described in detail elsewhere (26). Each subject was weighed to the nearest gram, and the height was measured to the nearest centimeter. The raw body volume was determined in duplicate and averaged. Next, thoracic gas volume was then measured in the BOD POD. Body density was calculated as the ratio of body mass to corrected body volume. Percent body fat was then calculated from body density using the Siri (35) formula.

Plantar flexion ergometer. The same ergometer was employed to assess the mechanical power, energy transfer rate by whole body indirect calorimetry, the muscle concentrations of Pi, phosphocreatine (PCr), ATP, and intracellular pH by 31P NMR, and deoxy-Mb by 1H NMR during plantar flexion exercise of the calf muscles. The ergometer consists of a three-sided box with dimensions of 25.4 cm wide × 25.4 cm high × 91.4 cm long with a foot pedal on an axle at one end and a moveable back plate at the other end of the box. An aluminum bar served as an end stop for the pedal arc during plantar flexion exercise. Latex rubber tubing (1.3 cm diameter and 34.3 cm length) with a Hooke's constant of 31.12 N/cm length change was attached to the back plate and the axle of the foot pedal. Resistance to plantar flexion can be varied by the number of tubes used and/or by changing the stretch of tubing between the axle and back plate. Mechanical work of plantar flexion involved moving the pedal against a specified resistance through an arc of 3.8 cm. The pedal movement was controlled by stops for forward and reverse movements with plantar flexion and relaxation. In this study, power was incremented by varying the contraction frequency from 30 to 70 contractions/min (0.5-1.17 Hz) with the resistance and plantar flexion arc held constant. Contraction frequency was not measured but was controlled by requiring the subject to follow a metronome beat, with verbal assistance from a technician for added control. The technician monitored the exercise protocol, which required the subject to push the pedal until it stops at the aluminum bar. Any learning effect was minimized by having the subject practice the exercise procedures several times before the experiments.

Steady-state VO2 and VO2 peak for plantar flexion exercise. Each subject performed three to five intensities of plantar flexion exercise of the dominant leg, each for 3 min with a 5-min recovery period after each bout. Energy expenditure was determined continuously by indirect calorimetry. The sequence was as follows: after resting for 10 min in a supine position, the subject breathed for 5 min through a mouthpiece and tubing connected to a SensorMedics metabolic cart (model 2900) for breath-by-breath measurements of resting VO2 and CO2 production (VCO2). Next, the subject performed a series of three to five exercise bouts at progressively higher intensities by varying the frequency from 30 to 70 contractions/min (0.5-1.17 Hz) on the foot ergometer, with the resistance held constant. Each bout lasted 3 min and was followed by 5 min of resting recovery. The calculated mean value during the last 30 s of each bout was used to characterize the VO2, VCO2, and respiratory exchange ratio for the bout.

After a rest period of 10-15 min, the subject's VO2 peak was determined by holding the resistance constant and progressively increasing the contraction frequency each minute until the subject could no longer maintain the required cadence. VO2 and VCO2 were determined throughout the test as described above. VO2 was averaged over each 15-s interval. The highest VO2 value was designated as the subject's VO2 peak.

NMR. NMR measurements were performed on a 1-m bore diameter GE Signa scanner at 1.5 T. 1H (63.86 MHz) NMR signal acquisition utilized a body coil transmit/surface coil (5-in. diameter)-received configuration. Magnetic field shimming used a three-point Dixon method to improve the field homogeneity, yielding a water line width of ~40 Hz (34). A selective excitation pulse sequence was optimized to excite the deoxy-Mb and deoxy-Hb histidyl-F8 Ndelta H signals, ~4.6 kHz from the water resonance (28). Numerical simulation and experimental data verified that the experimental pulse length of 800 µs had a full width at half-maximum excitation of 2 kHz. At an offset of 800 Hz or 13 ppm from the excitation maximum, the pulse power dropped by 25%. Each data block was comprised of 200 transients or 45 s signal averaging time. The repetition time was 160 ms. The spectral width was 16 kHz, and the data block size was 512. All spectra were referenced to the water signal as 4.65 ppm at 35°C, which in turn was calibrated against sodium 3-(trimethyl)propionate as 0 ppm.

31P (25.85 MHz) NMR signal acquisition utilized a conforming flexible coil that wrapped around the leg. A 50-mm slice was selected and then excited with a self-refocused 45° radio frequency pulse. The effective echo time was set at 2.5 ms (24). The other acquisition parameters were as follows: spectral width, 2.5 kHz; data points, 2,048; acquisition time, 820 ms; recycle time, 2 s. Each 31P NMR spectrum consisted of 50 transients and required a total acquisition time of 140 s. All spectra were apodized with a 15-Hz exponential function and referenced to PCr as 0 ppm.

The percent Mb desaturation was obtained in two different ways. After the final exercise bout, a pressure cuff above the knee was inflated to 240 mmHg to occlude the blood flow. Within 5 min, the deoxy-Mb signal reached a steady-state level, which was then considered as 100% desaturated. A soft cast was also made for each subject's leg, from the knee down to the ankle, and was used to calibrate the area intensity of the observed Mb signal. The cast was prepared with Scotchast Plus (3M) and was filled with 0.2 mM met-Hb solution, which approximated the physiological Mb concentration in tissue. 1H-met-Hb spectra were then acquired with acquisition parameters, which were identical to the ones used in the leg exercise experiment. The peak intensity at 85.5 ppm was then utilized as a basis to quantitate the observed Mb intensity in exercising gastrocnemius muscle (23). No longitudinal relaxation time (T1)-based saturation factor correction was necessary, since the T1 values of both the Mb and Hb signals are sufficiently rapid to permit full recovery within the recycle time (38).

Data were imported from the Signa system to a Sun Sparc2 workstation and were processed using the GE Omega 6.0 software package. All spectra were zero filled to 2,000 and apodized using a 50 Hz Gaussian-exponential function. All spectra were baseline corrected and referenced to water at 4.65 ppm at 35°C.

Statistical analysis. Values reported are given as the means ± SE. Least-squares regression and correlational analyses were performed for net VO2, deoxy-Mb, PCr, Pi, ATP, and pH relationships with plantar flexion power output for each individual using SigmaStat (version 1; Jandel Scientific, San Rafael, CA). The mean slope coefficient and pooled SE estimate of regression for each relationship were used for power analysis. Statistical significance was accepted at P <=  0.05 with power alpha  >=  0.80. The power of these tests was 0.9 or greater for n = 4 tests.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

Selected characteristics of the subjects are presented in Table 1 and show that these young, untrained adult men are relatively lean for their age and gender.

A representative example of a stack plot of 1H NMR deoxy-Mb for subject A is illustrated in Fig. 1. Figure 1A shows no detectable deoxy-Mb at rest where Mb presumably is fully saturated with O2. Figure 1, B-D, shows that the magnitude of the deoxy-Mb peak grows with power outputs of 9.4, 11.5, and 14.7 watts, respectively. Within 5 min of recovery from exercise at 14.7 watts, the deoxy-Mb signal disappears into the noise (Fig. 1E), indicating that Mb has become saturated with O2.


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Fig. 1.   1H nuclear magnetic resonance (NMR) spectra from gastrocnemius muscle at rest (A) and during plantar flexion at power outputs of 9.4 (B), 11.5 (C), and 14.7 (D) watts. E: spectrum after 5 min of rest recovery. Signal arises from the proximal histidyl-Ndelta H of deoxymyoglobin, and its intensity reflects increasing cellular deoxygenation.

The steady-state ATP, PCr, Pi, and intracellular pH results at rest and with variations in exercise intensity are presented in Table 2 and Fig. 2. Muscle ATP does not change relative to rest when power output is varied from 7.8 to 15.1 watts for plantar flexion exercise. In contrast, muscle PCr decreases, whereas Pi increases linearly with power output (Fig. 2, B-D). PCr falls to 33%, and Pi rises to 81% of the resting PCr level at the highest intensity of exercise, which elicits VO2 peak.

                              
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Table 2.   Metabolic and physiological response at different exercise intensities



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Fig. 2.   31P NMR spectra from gastrocnemius muscle at rest (A) and during plantar flexion at power outputs of 9.4 (B), 11.5 (C), and 14.7 (D) watts. E: spectrum after 5 min of rest recovery. Phosphocreatine (PCr) declines with increasing work output, whereas ATP remains constant and is set at 8.2 mM.

Figure 3 shows the graph of ATP and PCr level as a function of plantar flexion work output. ATP is set at 8.2 mM and is the normalizing value for the PCr and Pi. Clearly, the ATP level remains constant throughout the exercise protocol (Fig. 3A). PCr falls 4.5%/watt output. The corresponding graphs for Pi and pH are shown in Fig. 4. Pi increases with exercise at a rate of 4.1%/work output.


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Fig. 3.   Graphs of ATP (A) and PCr (B) as a function of plantar flexion power output in 4 untrained men. PCr level declines with increasing work output, whereas ATP remains constant. All signals are expressed as percent PCr. Resting PCr signal is normalized to 100%, and the resting ATP concentration is set at 8.2 mM (12). The regression line for PCr is based on the mean values (n = 4). Repeated-measures ANOVA shows significance (P = 0.00856), with 45 vs. 70 rpm significance at P < 0.05. Regression of PCr vs. power output is also significant for each subject. The slopes, SE estimate, and P values for subjects A, B, C, and D are (-5.48, 0.791, 0.0202), (-5.41, 0.737, 0.0180), (-3.90, 0.531, 0.0181), and (-3.17, 0.126, 0.0016), respectively. Using the mean of the slopes (-4.49) as a measure of the change in PCr per unit change in power and the pooled SE estimate (0.606), the power is 0.99. A sample size, n = 3, is needed to detect a difference at P = 0.05.



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Fig. 4.   Graph of Pi (A) and pH (B) as a function of plantar flexion power output in 4 untrained men. Pi rises with increasing power output. Intracellular pH, calculated from the chemical shift of Pi relative to PCr, decreases with power output. Signal intensity is represented as percent resting PCr.

The relationship between normalized net VO2 and plantar flexion power is shown in Fig. 5. As exercise intensity increases, the VO2 also increases linearly. Because the net VO2 of 13.2 ± 2.1 and 12.8 ± 1.2 ml · min-1 · 100 ml leg volume-1 for the last two power outputs of 15.1 ± 0.3 and 17.6 ± 1.0 watts are not significantly different (P > 0.05, paired t-test), these values are averaged to yield a net VO2 peak of 13.0 ± 1.6 ml · min-1 · 100 ml-1. This VO2 peak satisfies the criterion for VO2 max for leg muscles performing plantar flexion exercise.


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Fig. 5.   Net O2 uptake (VO2) as a function of plantar flexion power output in 4 untrained men. As plantar flexion power increases, so does VO2. The values reflect the difference between the average VO2 of the last 30 s of exercise and 5 min of rest and are expressed as means ± SE. Values are normalized for each individual's lower leg volume, which was obtained from the cast of the lower leg. VO2 values for the last two exercise intensities were not significantly different (paired t-test, P < 0.05), indicating that VO2 peaked at 15.1 watts, the highest intensity employed for the NMR experiments. The regression line is based on the mean values (n = 4). Differences between VO2 for the 3 exercise intensities are significant (P = 0.000883), with Bonferroni's post hoc test showing that the results from the 45 vs. 70 rpm experiments are significant. Regression of VO2 vs. power (without the 0,0 points) for each subject shows that the slopes for each subject are significant. Slopes, SE estimate, and P values for subjects A, B, C, and D are (1.17, 0.387, 0.05), (0.692, 0.0329, 0.0002), (0.629, 0.130, 0.017), and (0.885, 0.129, 0.0064), respectively. Using the mean of the slopes as a measure of the change in VO2 per unit change in power (3.37) and the pooled SE estimate (0.931), the power is 0.994. A sample size , n = 4, is needed to detect a difference at P = 0.05.

The relationship between deoxy-Mb signal and exercise power and net VO2 is presented in Fig. 6. A distinct linear relationship is found between the percent Mb desaturation and power output (Fig. 6A) and between percent Mb desaturation and net VO2 (Fig. 6B). Mb desaturates progressively as work output or VO2 increases. At VO2 peak, Mb desaturates to 48.4%. A similar relationship is apparent with PCr. As Mb desaturates, the PCr level falls linearly as does pH (data not shown).


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Fig. 6.   Graph of the percent deoxymyoglobin (deoxy-Mb) intensity as a function of power output (A) and net VO2 (B). As the VO2 increases with muscle power output, the intracellular PO2, as reflected in the deoxy-Mb proximal histidyl Ndelta H signal, declines linearly. The regression lines are based on mean values (n = 4). Repeated-measures ANOVA on deoxy-Mb also shows significance (P = 0.00632), with 45 vs. 70 and 55 vs. 70 (P < 0.05). Regression analysis of deoxy-Mb vs. power (without the 0,0 points) for each subject shows that the slopes are significant for each subject. The slope, SE estimate, and P values for subjects A, B, C, and D are (5.55, 0.864, 0.010), (2.702, 0.199, 0.0054), (3.02, 0.248, 0.0067), and (2.81, 0.464, 0.0261), respectively. Using the mean of the slopes (3.53) as a measure of the change in deoxy-Mb per unit change in power and the pooled SE estimate (0.516), the power is 0.99. A sample size, n = 3, is needed to detect a difference at P = 0.05. Dotted line corresponds to peak VO2 at 15.1-W output.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

Resting state intracellular PO2. The proximal histidyl Ndelta H signal of deoxy-Mb reflects the degree of tissue oxygenation during rest and exercise. At rest, no signal is detected, whereas during exercise the signal appears. Given the excellent signal to noise of the deoxy-Mb peak under the normalization condition of the cuffed leg spectra, a 10-20% deoxy-Mb saturation would certainly reveal an observable signal above the noise. Because none is detected, even after the addition of several reference spectra (data not shown), the resting PO2 of skeletal muscle must be sufficient to saturate MbO2 >80%, which reflects a resting cellular PO2 >10 Torr (given a Mb p50 of 2.9 at 39°C), and is consistent with muscle cryosection data (10, 11).

Mb desaturation with work output. As muscle work output increases, O2 flux must also increase to match the enhanced VO2. Such an enhanced O2 flux is governed phenomenologically by Fick's law of diffusion
<A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB> = D<SC>o</SC><SUB>2</SUB>[(P<SC>o</SC><SUB>2</SUB>)<SUB>cap</SUB> − (P<SC>o</SC><SUB>2</SUB>)<SUB>mito</SUB>]
where DO2 is the lumped conductance for O2 diffusion transport in tissue and (PO2)cap and (PO2)mito are the partial pressures of O2 at the capillary and at the mitochondria, respectively.

A driving force for O2 flux involves then a gradient from the capillary to the mitochondria. Because the mitochondrial PO2 is assumed to be approximately zero, only the capillary PO2 is often used to determine the interaction between the O2 gradient and VO2. However, according to Honig et al. (16), the cellular PO2 can also modulate the O2 flux. Intracellular PO2 is low but not zero. As work intensity increases, the cellular PO2 can decline, as reflected by Mb desaturation, and therefore enhances the gradient driving force for O2 flux (11). Even though VO2 has increased, the intracellular PO2 has fallen. A rise in VO2 in face of a drop in intracellular PO2 is consistent with an enhanced role of Mb in facilitating O2 diffusion to the mitochondria during exercise (44, 46).

Validation of the Honig hypothesis in a dynamic model has presented a formidable challenge, since experimental measurements must assess the intracellular PO2 during exercise. With 1H NMR, a strategy has emerged to observe the intracellular PO2 with the signals of Mb (22). Indeed, the deoxy-Mb proximal histidyl Ndelta H signal in our study demonstrates clearly that intracellular PO2 in exercising skeletal muscle falls progressively with work output. As the work output varies from 7.8 ± 0.32 to 15.1 ± 0.3 watts, Mb desaturates from 30.2 ± 2.4 to 48.4 ± 5.1%. Both the VO2 and work output form linear relationships with Mb desaturation.

These results are in contrast with a previous NMR report, which shows that Mb desaturates rapidly to a constant 51% under exercise intensity >50% of VO2 max (32). Below 50% of VO2 max, a dubious experimental point is slightly <50% and suggests the presence of a linear response region at low work output. In the present study, the exercise protocol also elicits VO2 that spans the range above 50% of VO2 max. At the highest level of exercise performance, the subjects reach VO2 peak.

The observed pH and Pi/PCr change also supports the interpretation that our subjects are exercising above 50% VO2 max. At the highest work output of 15 watts, the cellular pH is 6.87 ± 0.16, which is consistent with the value of 6.554 ± 0.325 observed by Richardson et al. (32) during exercise at 95% of VO2 max. Because calf muscle has heterogeneous fibers, the pH values during exercise can range from 6.2 to 7.1 (27, 39). The pH observation during exercise is then consistent with a high work output.

Moreover, the Pi-to-PCr ratio also supports a high VO2 exercise. Studies have reported values ranging from 1.3 to 4.1 during maximal exercise (4, 31, 39). At the highest work output, the Pi-to-PCr ratio is 2.4. Although the study by Richardson et al. (32) reports Pi-to-PCr ratios approaching 10, the unacceptably large SE precludes any comparative analysis. In that study, the reported PCr-to-Pi ratio is 0.1 ± 0.2 during exercise at 95% of VO2 max.

Clearly, the discrepancy in the two reports requires further study and may originate from differences in the interrogated muscle groups (quadriceps vs. gastrocnemius), the subject's athletic training, and NMR acquisition/processing methodology.

Diffusional conductance. Because the Mb is desaturating as exercise intensity increases, the diffusion equation (Eq. 1) would imply that O2 gradient from the capillary to the cell is indeed modulating O2 delivery to match the VO2. To determine the specific relationship requires the assessment of the VO2 as a function of exercise intensity. Even though the present study has utilized whole body VO2, both theoretical and empirical studies have shown that the kinetics of VO2 of working muscle is the same as pulmonary VO2 in phases 2 (metabolic) and 3 (steady state; see Refs. 5 and 6). A number of other studies have demonstrated that the increase in leg VO2 accounts for >57% (ranging from 57 to 93%) of the increment in whole body VO2 during leg exercise (1, 2, 18, 20, 30, 36, 41).

The experimentally determined change in (Delta ) VO2 from exercise level 1 to 3 is 7 ml · min-1 · 100 ml leg volume-1, whereas the [(PO2)cap - (PO2)mito] rises from 31.4 (40-8.6) to 36.1 (40-3.9) Torr, assuming a constant mean end-capillary PO2 of 40 Torr. Even though the VO2 has increased by a factor of 2, the Delta PO2 has only increased by a factor of 1.15. If the mean end-capillary PO2 is 13 Torr, then the Delta PO2 is now altered to 4.4 (13-8.6) and 8.1 (13-3.9), respectively. The change would imply that the O2 gradient is sufficient to match the enhanced VO2 and that DO2 is relatively constant. Because DO2 is a lumped constant, which includes aggregate capillary surface area and capillary to cell distance, a relatively constant DO2 would diminish the contribution of diffusion-controlled regulation of O2 flux during exercise.

Nevertheless, DO2 is multifactorial and nonlinear. Relatively small changes can enhance O2 flux (9, 17). The extent of DO2 modulation is unclear from the present experimental data, since, in part, the NMR observes only a spatially averaged signal and cannot discriminate any heterogeneity, which can complicate the interpretation (29). The specific heterogeneity in question, VO2/Q, is difficult to assess, since at present no definitive measurements can resolve the VO2/Q heterogeneity contribution in exercising muscle. Researchers have argued reasonably against any significant contribution, which is an underlying assumption in the above analysis (32).

Determinant of respiration during exercise. Even with the modulation of O2 delivery, the O2 supply does not appear to be sufficient to meet the O2 demand during exercise without metabolic adaptation. Because oxidative phosphorylation depends on the phosphorylation potential or charge, redox state, ADP, and carbon substrate availability, the associated metabolite levels can also regulate respiration. Indeed, as VO2 increases, the 31P-PCr signal declines, whereas the Pi signal increases. The Pi-to-PCr ratio, which reflects the ADP concentration, shifts from 0.19 to 2.7 and is consistent with the linear relationship between percent peak power vs. ADP (4).

Although the O2 gradient increases with exercise intensity and therefore enhances the driving force for O2 transport, the intracellular PO2 nevertheless drops and suggests that an additional O2 diffusion route to the mitochondria becomes increasingly significant. Such a role is postulated for Mb. Even the enhanced driving force for O2 flux, however, does not preclude an apparent ADP-dependent stimulation of respiration or any modulation from the lumped O2 conductance factor, which includes O2 unloading and aggregate capillary surface area. Respiratory control does not appear to depend solely on the regulation of O2 delivery or supply. Nevertheless, the study has demonstrated that the O2 gradient does shift dramatically during exercise along with metabolic adaptation. Further study will employ the NMR strategy to define the relationship between O2 supply and metabolism as a coordinate set of respiration controls during exercise in skeletal muscle.

In exercising skeletal muscle, the enhanced VO2 with increased work output correlates linearly with MbO2 desaturation. As VO2 increases, Mb desaturation also increases, reflecting a fall in the cellular PO2. At VO2 peak, Mb is desaturated by 48%. The linear relationship between VO2 and Mb desaturation supports the notion that the O2 gradient from the vasculature to the cell is enhancing the O2 flux. Yet, despite the increased O2 flux, PCr level still falls, reflecting a rise in ADP. The results indicate that the regulation of VO2 involves both an O2 gradient and metabolic control.

Perspectives

A key question in muscle physiology centers on the regulation of oxidative phosphorylation during enhanced activity. At issue is whether cellular metabolites or O2 delivery to the cell is limiting respiration as the muscle activity approaches a VO2 max level. Proponents of the central mechanism posit that the systemic control of capillary blood flow is the key regulatory step. Others have proposed that the diffusion of O2 from Hb to the mitochondria and metabolic regulation of oxidative phosphorylation limit respiration. With the 1H NMR signal of deoxy-Mb, we open an opportunity to measure the intracellular oxygenation in exercising tissue. In contrast to previous findings, our results indicate that Mb desaturates in proportion to exercise intensity. The enhanced O2 gradient is consistent with a regulatory step in O2 flux into the cell. However, increased respiration along with a decreased O2 level raise a provocative question about respiratory control in exercising muscle, which is not fully rationalized in the current cellular model of bioenergetics.


    ACKNOWLEDGEMENTS

We thank Dr. Ulrike Kreutzer for scientific discussion and gratefully acknowledge the assistance of Tyrone Jue, Douglas Bank, and Soleiman Osman.


    FOOTNOTES

This work was supported by General Medical Sciences Grant GM-57355.

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.

Address for reprint requests and correspondence: T. Jue, Med: Biological Chemistry, Univ. of California Davis, Davis, CA 95616-8635 (E-mail: tjue{at}ucdavis.edu).

Received 26 October 1998; accepted in final form 18 March 1999.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
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Am J Physiol Regul Integr Compar Physiol 277(1):R173-R180
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