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ENVIRONMENTAL, EXERCISE AND RESPIRATORY PHYSIOLOGY
1Department of Medicine, University of California, San Diego La Jolla, California; 2School of Physiotherapy and Exercise Science, Griffith University, Queensland, Australia; 3Huntington Medical Research Institutes, Pasadena, California; 4Department of Medicine and Department of Exercise and Sport Science, University of Utah, Salt Lake City, Utah; 5Department of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; and 6Geriatric Research Education and Clinical Center, Salt Lake Veterans Affairs Medical Center, Salt Lake City, Utah
Submitted 19 January 2007 ; accepted in final form 7 August 2007
| ABSTRACT |
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92%, the average value reached breathing an FIO2 of 0.15. Below this SaO2, the PCr rate constant fell significantly by 13 and 31% to 1.3 ± 0.2 and 1.0 ± 0.2 min–1 (P < 0.05) as SaO2 was reduced to 82 ± 3 and 77 ± 2%, respectively. In conclusion, this study has revealed that O2 availability does not impact maximal oxidative rate in sedentary humans until the O2 level falls well below that of ambient air, indicating a metabolic limitation in normoxia. oxidative capacity; 31P-magnetic resonance spectroscopy; exercise
Phosphocreatine (PCr) recovery measurements, as an index of maximal oxidative rate, have provided further evidence of this O2 supply limited maximal metabolic rate in normoxia in the muscle of exercise-trained humans but have failed to identify the level of O2 availability that creates an O2 surplus as this appears to fall beyond that achieved by delivering 100% O2 (9). While a similar hyperoxic approach failed to alter the metabolic rate in the untrained muscle (Fig. 1), a unifying result is observed in both trained and untrained human skeletal muscle when severe hypoxia compromises maximal metabolic rate. Taken together, these data suggest that in untrained subjects the level of O2 availability under normoxic conditions may be either perfectly matched or in excess of metabolic capacity, but this "critical" level of O2 availability is currently unknown (10)(Fig. 1). It is upon the later unanswered question that we now focus our experiments to initially provide a benchmark for the normal healthy balance between O2 supply and demand in ambient O2 in untrained skeletal muscle and ultimately better understand the numerous pathologies that alter O2 availability and metabolism either individually or in unison. Unlike maximal exercise, an advantage of assessing maximal muscle oxidative metabolism by PCr recovery from submaximal exercise is the low level of stress involved, making it suitable for studying oxidative rate during exercise under conditions of severe hypoxia, and in subjects who are unaccustomed to strenuous exercise due to inactivity, aging, or debilitating pathologies (10, 14, 18).
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| METHODS |
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O2max test either within our or another laboratory and were documented to be below 40 ml·kg–1·min–1 within the last 6 mo. The study was approved by the University of California, San Diego, Human Subjects Protection Program and was in accordance with the declaration of Helsinki. The subjects were screened to assess their level of physical activity by using a modified version of the Minnesota Leisure Time Physical Activity questionnaire that correlates well with exercise testing (7). Exercise protocol. Subjects performed plantar flexion exercise in a supine position. The ergometer consisted of a footplate against which the subject worked and a weight and pulley system that offered variable resistance. Range of motion was controlled by a fixed distance that the footplate could be moved during flexion and by the distance the weight could move during relaxation. Thus, range of motion was fixed at 10 cm of plantar flexion with the foot starting perpendicular to horizontal. A simple force x distance calculation provided an estimate of the measurable work that, divided by the frequency of contraction, gave a measure of power. Subjects were familiarized with plantar flexion exercise in the confines of a whole body MRS system. At this time a level of work was determined for each subject that would result in a PCr depletion of between 30–40% under normoxic conditions. Subjects performed constant-load submaximal plantar flexion at this intensity (6.0 ± 0.5 W) (frequency of 1 Hz, maintained with the aid of an electronic metronome), while breathing serial reductions in FIO2 (0.21, 0.15, 0.12, and 0.1). The order of the four treatments was randomized to minimize any ordering effects, and the treatment order was not disclosed to the subjects. Subjects breathed each gas mixture until their SaO2 had equilibrated before 2 min of resting baseline data collection and the commencement of exercise. In each FIO2, subjects performed 5 min of exercise followed by 6 min of recovery, and MRS data were acquired continuously. Throughout each exercise bout subjects breathed through a low resistance two-way breathing valve (model 2700; Hans-Rudolph, Kansas City, MO) connected to a 150-liter reservoir bag containing the appropriate FIO2. Subjects were allowed 30 min of rest between each exercise bout.
Heart rate, arterial O2 saturation, and arterial PO2. Heart rate and SaO2 were monitored continuously throughout the experiment with a finger probe oximeter (Omni-Trak; In Vivo Research). To provide an estimate of oxygen tension, SaO2 data were used to calculate PaO2 using the Hill equation, assuming a normal P50. Previously, during exercise with the same mode of ergometry and across the range of FIO2 employed in this study, we have documented a high correlation between SaO2 measured with this analyzer and the subsequent estimation of PaO2 with end-tidal O2 gas measurements (9, 11).
31P MRS. MRS was performed using a clinical 1.5T General Electric Signal system (5.4.2 version) operating at 25.86 MHz for 31P. The 31P MRS data were acquired with a dual-frequency flexible array spectroscopy coil (Medical Advances) placed around the calf at its maximum diameter. The centering of the coil around the working muscles of the lower leg was confirmed by T1-weighted 1H localizing images obtained in the axial plane. For all subjects, a similar ratio between the volumes of gastrocnemius/soleus muscles was maintained within the coil. Shimming on the proton signal from tissue water, optimized magnetic field homogeneity, and the 31P MRS signal was optimized by prescan transmitter gain adjustment. A 500-µs hard pulse was used for signal excitation. The spectral width was 2,500 Hz, and data were acquired continuously for 13 min, with a single free-induction decay (FID) acquired every 4 s. Thus, a total of 195 FIDs were acquired during the 2-min rest period, 5 min of exercise, and 6 min of recovery.
31P data analysis.
Data were processed using SAGE/IDL software on a Silicon Graphics INDIGO workstation. Each FID consisted of 1,024 complex points and was processed with 5 Hz exponential line broadening prior to zero filling and Fourier transformation. All spectra were manually phased using zero and first-order phase corrections. There were no phase variations between rest, exercise, and recovery data acquisition during the experiment. The levels of PCr determined from the intensity of that peak were normalized to 100% using the average value obtained from the last 40 s of preexercise rest acquired for each subject as a reference. Muscle intracellular pH was calculated from the chemical shift difference (
) of the Pi peak relative to the PCr peak using the following equation (32): pH = 6.75 + log[(
– 3.27)/(5.69 –
)].
Signal-to-noise ratios (
30:1) were sufficient to allow PCr levels to be determined with a temporal resolution of 4 s during exercise and recovery. Changes in PCr during recovery were fit to a monoexponential function: PCr(t) = PCr0 + PCr1 [1 – e–(t – TD)/
], where PCr0 is the baseline value, PCr1 is the difference between the baseline and the recovery value, t is time, TD is the time delay, and
is the time constant. The PCr recovery rate constant was calculated as 1/
.
Statistical analysis.
Recognizing that our interest was in the physiological response to alterations in FIO2 (which can vary widely) the data were instead grouped according to SaO2 achieved by each FIO2. Thus, the data were considered categorical in nature, and nonparametric statistics were employed. Specifically, data grouped according to SaO2 were analyzed with a Friedman repeated-measures test (post hoc: Wilcoxon ranked sign test with Bonferroni correction) using a commercially available software package (Instat, San Diego). Additionally, because of this grouping strategy, not all comparisons had equal numbers (n = 5 at both the lowest and SaO2 levels), and in these two cases, the means of the existing data were substituted for the missing values. Although this approach artificially preserves the degrees of freedom and may diminish the variance, it allows the use of repeated-measures analyses, does not alter the mean values, and is an accepted methodological approach. The impact of this approach in the current case was tested by running the statistical analyses twice, once with this approach to handling the missing data and once with the alternative method of dropping this subject and data and reducing the subject number in the study. Power analyses revealed that in all major variables the statistical power was
0.8. Significance was established at P < 0.05. The results are presented as means ± SD throughout this manuscript.
| RESULTS |
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Missing data. As not all subjects responded consistently in terms of their SaO2 response to varied FIO2, there were inevitably missing data in this study. However, in all variables, whether these data were excluded from the analysis (decreased n) or the mean was substituted for these data, the statistical results were unaltered.
PCr recovery, rate constant, and depletion.
The data were fit to a monoexponential function for the calculation of PCr recovery (
), in a similar manner to that published previously (Fig. 2) (9, 10). As can been seen from Fig. 2, the quality of curve fitting from a single set of PCr data was excellent, supported by an average confidence interval of 7 ± 1 s with respect to an average
across all FIO2 conditions of 47 ± 9 s. There was no evidence of a time delay in this fitting process, as determined by no difference between the start of the exponential upon recovery, whether fixed mathematically by timing of the event or allowed to fit freely. PCr
was unaffected by the reduction in SaO2 from the room air value of 97 to 92%, but was significantly and progressively elongated by the reduction in SaO2 to 82 and 77%, respectively (Table 1). As illustrated in Fig. 3A, the rate constant of PCr recovery revealed the same changes as a function of O2 availability, with no impact of a reduction in SaO2 to 92%, but falling significantly by 13 and 31% as SaO2 was reduced to 82 and 77%, respectively (Table 1, Fig. 3A). Figure 3B shows the individual variation in SaO2 as the FIO2 is reduced with the eventual reduction in PCr recovery rate. An interesting exception to this group response was subject A (open triangles and broken line) who defended their SaO2 as FIO2 was reduced. For this subject, the SaO2 was only reduced to 92% under the most severe hypoxic condition (0.1 FIO2), which was still greater than the critical SaO2 revealed by the rest of the group, and consequently, in this subject there was no effect of serial reductions in FIO2 on the rate of PCr recovery. Although, on average PCr depletion tended to become greater with progressive hypoxia and attaining significance in the lowest SaO2 achieved (Table 1), there was no significant relationship between PCr depletion and the rate of PCr recovery (Fig. 4).
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| DISCUSSION |
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PCr recovery to titrate the role of O2 in limiting oxidative capacity.
The recovery rate constant for PCr recovery is a function of the maximum rate of oxidative ATP synthesis (Qmax), which can be estimated as Qmax = (1/
)[PCrrest], where [PCrrest] is PCr concentration in resting muscle (13). Therefore, both the recovery rate constant for PCr recovery and
O2max are indices of the maximal rate of oxidative ATP synthesis and are considered to be linearly dependent on muscle oxidative capacity (18–20).
The low level of stress involved in PCr recovery measurements from submaximal exercise make it suitable to study interventions that may be too severe systemically for maximal exercise testing and for populations that have difficulty with such strenuous testing (9, 10, 14, 33). A further advantage of the measure is that PCr recovery measurements do not require a correction for active muscle mass (13, 18) and are independent of the work level (19), provided that muscle intracellular pH does not fall severely (2).
The combination of PCr recovery measurements under conditions of altered O2 availability has previously demonstrated that under normoxic conditions, O2 availability limits maximal metabolic rate in the skeletal muscle of exercise-trained humans (9) and does not in their untrained counterparts (10). Therefore, it should be clear that PCr recovery assessed only in normoxia must be interpreted with caution as differences in PCr recovery between subjects may be due not only to metabolic limitations (1, 6, 22) but also to inherent limitations in O2 supply (33). The current investigation and our previous work has taken this into account by assessing PCr recovery kinetics under conditions of varying O2 availability and not simply relying upon the normoxic assessment of maximal metabolic rate, allowing the titration of O2's role in limiting metabolism (9, 10). Such unique observations demonstrate that PCr recovery data coupled with manipulations in O2 availability are capable of noninvasively distinguishing between O2 supply and metabolic limitations, providing a powerful addition to the study of muscle pathophysiology.
A potentially confounding issue with the current use of PCr recovery rate as an index of metabolic capacity in the face of somewhat variant PCr depletion levels is the disagreement about the association of these two variables. Although, there are data that suggest PCr recovery rate is linked to PCr depletion (30), in our hands (10) and in older (19) and very recent publications (17) it is more commonly recognized that these variables are independent of each other (especially if pH is relatively unperturbed, as it was in the current study). The current data support this observation with a weak, nonsignificant, relationship being displayed between PCr depletion and the PCr recovery rate constant following exercise at all levels of FIO2 employed (Fig. 4). Thus, adding credence to the O2 supply dependence-related interpretation of the current data.
Metabolic and O2 supply limited maximal metabolic rate. Several earlier studies have illustrated a strong relationship between O2 supply and skeletal muscle oxidative capacity during maximal exercise in exercise-trained subjects (15, 25). However, the limited research performed in sedentary subjects suggests maximal oxidative rate appears to be determined by mitochondrial capacity and not O2 supply (5). As already indicated, our previous PCr recovery assessments in trained and untrained subjects contrast the consequences of supplemental O2 as a function of exercise training, with the untrained unable to take advantage of the increased O2 supply but revealed a similar negative impact of severe hypoxia in both groups (9, 10).
However, these studies failed to determine whether the metabolic capacity of untrained human skeletal muscle is perfectly matched to ambient O2 availability (9, 10). The current data suggest that this not the case, with the initial FIO2-induced reductions in SaO2, having no impact on maximal metabolic rate, as measured by PCr recovery (Fig. 3A). Conceptually, the critical level of O2 availability that affects maximal oxidative rate is dependent upon metabolic capacity. This is supported by the prior observation that the PCr recovery rate of exercise-trained skeletal muscle was impacted with a reduction in PaO2 from
600 mmHg induced by hyperoxia (9), while in the current sedentary subjects, estimated PaO2 had to fall to
50 mmHg to impact metabolism (Table 1). With this apparent link between mitochondrial capacity and O2 availability, the current technique (31P MRS coupled with altered O2 availability) may have a clinical role in distinguishing between O2 supply and demand limitations in the study of muscle pathophysiology (e.g., aging and mitochondrial myopathy).
It would also be useful to bring this isolated small skeletal muscle mass study back into the realm of whole body exercise, such as walking, running, or cycling and provide implications for the relationship between untrained muscle and O2 availability in this type of activity. However, the translation of these data to a situation where a much greater muscle mass is recruited is actually quite complex and now introduces the potential for central limitations (e.g., cardiac output and or blood flow distribution) that may lead to differing results. Thus, although the current data are in line with the concepts that untrained subjects are probably not O2 supply limited when studied during whole body exercise breathing ambient air (34), there is actually a continuum of responses (21) and that exercise-trained individuals are more susceptible to reductions in O2 availability (16), this translation between paradigms should be viewed with caution.
Role of diffusion limitation in determining maximal metabolic rate.
The diffusion of O2 from blood to cell has been thought of as a somewhat discrete and potentially independent limitation to O2 transport and ultimately maximal metabolic rate (12, 29, 34). According to Fick's law of diffusion, muscle O2 diffusing capacity (DO2) in conjunction with the PO2 gradient from capillary (PcapO2) to mitochondria (PmitoO2) plays a critical role in determining the maximal rate of O2 consumption (
O2max):
O2max = DO2 (PcapO2 – PmitoO2).
Studies have shown that muscle blood flow is elevated in hypoxia and decreased in hyperoxia across a range of submaximal power outputs (4, 8, 31). Thus, alterations in muscle blood flow during submaximal exercise either partially or totally compensate, in terms of O2 delivery, for the changes in arterial O2 content (CaO2) induced by breathing hypoxic or hyperoxic gas mixes. Under such conditions, convective O2 delivery would remain relatively constant, while the diffusive component of O2 transport would be altered. Data supporting this concept have been reported previously (27), where submaximally both the DO2 and the convective delivery of O2 were unchanged between normoxia and hypoxia, but the PO2 gradient from capillary (PcapO2) to mitochondria (PmitoO2) in hypoxia was reduced, significantly decreasing both PmitoO2 and skeletal muscle
O2max.
In the current study, the more severe levels of hypoxia resulted in an estimated PaO2
50 mmHg (SaO2
82%) and significantly slowed PCr recovery, despite the likely increase in muscle blood flow that compensates for reduced arterial O2 content (8, 24, 31). Therefore, these data may be used to highlight the importance of the diffusive component of O2 transport in determining maximal metabolic rate, in this case, under conditions of reduced O2 availability.
FIO2, hypoxic ventilatory response, and in vivo O2 availability. Because of the O2 cascade from blood to tissue, graded reductions in inspired O2 would be expected to ultimately alter in vivo O2 availability all the way to the myocyte itself (23, 26). However, although convenient, it is not appropriate to assume that alterations in FIO2 reflect in vivo O2 availability. On an individual basis, the defense of alveolar PO2 by an increase in alveolar ventilation can markedly influence this chain of events. This hypoxic ventilatory response (HVR) varies widely between individuals and has been used to distinguish between those who will thrive and those who will perish at high altitude (3).
The importance of recognizing this phenomenon and its impact upon manipulations in O2 availability became apparent in the current investigation. This is highlighted in Fig. 3B, which contrasts the dramatically attenuated fall in PaO2 of a single subject (subject A) compared with the other subjects exposed to the same array of hypoxic gases. Clearly, a failure to relate this subject's response in terms of both PCr recovery rate constant and SaO2 would have resulted in the incorrect conclusion that O2 availability does not impact muscle oxidative capacity. As illustrated (Fig. 3, A and B), the data for this subject are, to a point, consistent with the group data, but due to this subject's vigorous HVR they maintained their SaO2 above the threshold necessary to impact maximal metabolic rate, despite breathing a 10% O2 gas mixture (our ethical limit for this study). In addition, this observation adds credence to the concept that a vigorous HVR has consequences, not only at the level of arterial oxygenation but also at the level of the myocyte, for in this subject, maximal metabolic rate was not compromised despite exposure to relatively severe hypoxia.
Summary.
In conclusion, this study has identified a critical level of SaO2 in sedentary subjects, below which maximal metabolic rate is compromised. This critical O2 level is lower than a SaO2 of 92% and therefore lies much below typical normoxic values. Thus, the maximal oxidative rate in the skeletal muscle of these subjects would be classified as metabolically limited in normoxic and mildly hypoxic conditions. However, even in these untrained subjects moderate-to-severe hypoxia (SaO2
82%) ultimately leads to an O2 supply-limited scenario in which skeletal muscle maximal metabolic rate is attenuated, presumably due to a reduction in the O2 driving gradient from air to blood to cell that reduces intracellular PO2 and limits mitochondrial function.
| GRANTS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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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. Section 1734 solely to indicate this fact.
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G. H. Raymer, H. J. Green, D. A. Ranney, G. D. Marsh, and R. T. Thompson Muscle metabolism and acid-base status during exercise in forearm work-related myalgia measured with 31P-MRS J Appl Physiol, April 1, 2009; 106(4): 1198 - 1206. [Abstract] [Full Text] [PDF] |
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