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1 Department of Clinical Neurophysiology, Institute of Neurology and 2 Department of Radiodiagnostics, University Medical Centre, 6500 HB Nijmegen, The Netherlands
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ABSTRACT |
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The occurrence of pH heterogeneity in human tibial anterior muscle during sustained isometric exercise is demonstrated by applying 31P-nuclear magnetic resonance (NMR) spectroscopy in a study of seven healthy subjects. Exercise was performed at 30 and 60% of maximal voluntary contraction (MVC) until fatigue. The NMR spectra, as localized by a surface coil and improved by proton irradiation, were obtained at a high time resolution (16 s). They revealed the simultaneous presence of two pH pools during most experiments. Maximum difference in the two pH levels during exercise was 0.40 ± 0.07 (30% MVC, n = 7) and 0.41 ± 0.03 (60% MVC, n = 3). Complementary two-dimensional 31P spectroscopic imaging experiments in one subject supported the supposition that the distinct pH pools reflect the metabolic status of the main muscle fiber types. The relative size of the Pi peak in the spectrum attributed to the type II fiber pool increases with decreasing pH levels. This phenomenon is discussed in the context of the size principle stating that the smaller (type I) motor units are recruited first.
human; size principle; muscle fatigue; sustained isometric exercise; 31P nuclear magnetic resonance spectroscopy
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INTRODUCTION |
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HETEROGENEITY of pH in human muscle tissue during exercise and recovery, as monitored by 31P-nuclear magnetic resonance spectroscopy (31P-NMRS), has been addressed in several studies (1, 17-19, 24, 25, 29, 30). A shift of the frequency of the inorganic phosphate (Pi) signal, relative to that of phosphocreatine (PCr) in the 31P-NMR spectrum, corresponds to a change in the intracellular pH. The occurrence of a broadened, or even split, resonance of Pi during exercise is often ascribed to the different metabolic behavior of slow- and fast-twitch fibers involved in the exercise. Slow-twitch (type I) fibers mainly use aerobic energy sources and therefore produce few protons, resulting in a relatively unaffected tissue pH. Fast-twitch (type II) fibers are better equipped for anaerobic glycolysis. This is accompanied by a more extensive production of protons. If this proton production is not balanced by the removal and/or buffering of protons, the pH will decline, resulting in a shift of the Pi peak.
Fiber type-related pH heterogeneity has been reported for wrist flexion
muscles (17-19), for calf muscles (1, 24,
25), and for the biceps femoris (29, 30). In these
experiments, cyclic concentric exercises were used. Mostly a graded
exercise at low frequency (
Slow-twitch (type I) and fast-twitch (type II) motor units differ in size. According to the size principle, as ascribed by Henneman (8), motor units are recruited from small to large. Combining the size principle with the development of Pi peaks is an alternative approach to study pH heterogeneity. Because the size principle is disputed in nonisometric exercises (e.g., Ref. 9), we studied pH heterogeneity during sustained isometric exercise at two different loads [30 and 60% maximal voluntary capacity (MVC)]. At first, during a 30% MVC level, only the relative small slow-twitch (type I) motor units are recruited. In the course of the fatiguing contraction at 30% MVC, new motor units, including the relative large fast-twitch (type II), are indispensable. This would induce a changeover to the simultaneous activity of both fiber types. At 60% MVC, the muscle is used under ischemic conditions (14, 22). At this exercise level, motor units of both types are expected to be active from the beginning (5). This leads to the hypothesis that 1) pH heterogeneity will emerge in the course of an exercise at 30% MVC and 2) pH heterogeneity will emerge soon after the start of an exercise at 60% MVC.
We selected the tibialis anterior muscle (TA) for this study because it has no synergists for its performance, excluding the possibility that the measured force is produced by more than one muscle. The measurements only use coil localization to visualize as many as possible temporal details (temporal resolution of 16 s). In one of the seven subjects, the coil profile and the spatial distribution of the Pi peaks during exercise were investigated.
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METHODS |
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Subjects.
Seven healthy men and women participated in the study, aged 22-48
(Table 1). All subjects were regularly
engaged in low to moderate aerobic exercise. They were informed of the
purpose of the experiments and gave their written consent. The protocol
was approved by the local ethics committee of the Faculty of Medical Sciences of the Nijmegen University.
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Exercise.
Subjects took a supine position on the investigation table with the
left leg slightly bent and supported with vacuum pillows (Fig.
1A). For the two-dimensional
phase-encoded 31P spectroscopic imaging (2D 31P
SI) measurements, the exercising leg was straightened to enable its
horizontal alignment with respect to the static magnetic
(B0) field. The angle of the left lower leg and the
left foot was always 90°, and the foot was fixed with straps in a
pedal. Subjects were supplied with visual feedback of the force and
were verbally encouraged during exercise. All subjects performed both
exercise protocols, separated by at least 2 days.
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Nuclear magnetic resonance. All experiments were performed on a 1.5-T whole body system (Magnetom SP, Siemens Medical Systems, Erlangen, Germany). The surface coil was home built and specially designed to detect signals from the TA. It consisted of two concentric loops: 25 cm × 81/2 cm (tuned to the 1H frequency) and 20 cm × 31/2 cm (tuned to the 31P frequency). It was carefully placed over the TA and fixed with tape. Before 31P-NMRS data collection, a series of five transversal 1H-NMR images [gradient-recalled echo: echo time = 6 ms, repetition time (TR) = 70 ms, thickness = 10 mm, distance factor = 0.4] were made to validate the correct placement of the surface coil. In case of the 2D 31P SI measurements, this series was extended to 15 transversal 1H-NMR images divided over the length of the coil to control the horizontal position of the lower leg and consequently that of the TA. After the last 2D 31P SI measurement, this series of 15 1H-NMR images was repeated to confirm an unchanged leg position.
The homogeneity of the B0 field was adjusted by using the proton signal from water, resulting in a peak width at half-height of
0.5 ppm. To overcome inhomogeneity of the B1 field, an
amplitude-modulated adiabatic 90° pulse (sincos), with a length of
2.56 ms, was used for excitation. The spectral excitation of this pulse
was constant over a frequency range of 1,000 Hz (~39 ppm), which is
sufficient to map all resonances present in skeletal
31P-NMR spectra.
For optimal SNR per unit time, we used a TR of 7 s, according to
Ernst and Anderson (6) (TR = 1.25 T1, where T1 is
spin-lattice relation time) and to Thomsen et al.
(23) [muscle T1 (PCr, Pi, ATP)
5.5 s]. Two acquisitions were averaged per measurement. Including
data storage, the time resolution became 16 s. The free induction
decay (FID) was low-pass filtered at 5 kHz and sampled during 512 ms at
a sample frequency of 4 kHz. During data collection, high-level (10 W)
WALTZ4 proton irradiation was applied to decouple the
31P-1H spin coupling (15). During
the remaining time, low-level (0.6 W) WALTZ4 proton irradiation was
applied to amplify the 31P-NMR signal by the nuclear
Overhauser effect (2).
For localization of the 31P-NMR signal, 2D 31P
SI without slice selection and with a matrix size of 8 × 8 was
applied in the transverse direction. Each volume of interest had a
nominal resolution of 1.5 × 1.5 cm2. In the third
dimension, the view of the surface coil dictated the localization
(~20 cm). Acquisition time was 7.57 min (~8 × 8 × 7 s), taking one acquisition for every phase-encoding step.
Data analysis. The data-analyzing method VARPRO (27) was used as fitting procedure. The first three data points of each FID were not included in the Fourier transformation to avoid the broad baseline component arising from the tibia bone. Starting values for the peak position and line width of PCr and Pi were given. The peaks were assumed to have a Lorentzian line shape. If the Pi resonance split into two resonances, equal line widths were not assumed because the origin of this phenomenon is part of the study. To avoid improper use of prior knowledge, a broadened Pi peak was analyzed in two ways: as one peak and as two independent peaks. In the evaluation of the results, the lower bound of the theoretical statistical errors, the Cramer-Rao (CR) lower bound, was used. The result with the lowest CR lower bound in the calculated parameters (peak area, line width, and frequency) was accepted as the best fit. Sometimes, both results came up with CR lower bounds of more than 60% of the parameter values. Then the Pi peak was excluded from the fit procedure.
Intracellular pH was calculated from the chemical shift of Pi based on the equation pH = 6.75 + log(
3.26)/log(5.75
), where
equals the chemical shift of
the Pi peak (in ppm), relative to PCr. The curves of the pH
were fitted by piecewise linear regression. Continuity was assumed,
except for the transition of one pH to two pHs and vice versa. The
distribution of data points over the successive regression lines was
optimized by minimizing the sum of the residuals of the lines. This
method is described by Vieth (28) for the combination of
two regression lines. We extended this method to an arbitrary number of
line pieces.
The 2D 31P SIs were analyzed with LUISE, a data-analyzing
program supplied by Siemens. No zero filling, filtering, or offset correction was used in the k space (the spacial frequency space). The
shift of the matrix grid was equal for both 2D 31P SIs
(rest and exercise). The first 2D 31P SI was depicted on
1H-NMR images measured before exercise, and the last 2D
31P SI was depicted on 1H-NMR images measured
after exercise.
Preprocessing of the spectra shown in this paper (Figs. 1B,
2B, 3B, and 4B) was as follows. Before
Fourier transformation, the first three data points of the FID were
skipped, an asymmetric Gauss window (center 25 ms, width 100 ms) was
applied, and zero filling was performed to 4,096 data points.
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RESULTS |
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Exercise. MVC ranged between 207 and 336 N. The duration of the exercises varied between 80 and 167 s for 60% MVC and between 348 and 660 s for 30% MVC (Table 1). Although toe extension muscles did not contribute to the delivered force, subjects tended to extend their toes when it became hard to maintain the desired force. This means that the extensor digitorum longus (EDL) and the extensor hallucis longus were also activated and could potentially contribute to the 31P-NMR signal. However, the extensor hallucis longus is situated distal to the TA and therefore did not contribute to the 31P-NMR signal. The influence of the EDL was studied with the 2D 31P SI results (see Two-dimensional phase-encoded 31P spectroscopic imaging below).
31P-NMR spectroscopy with only surface coil localization, 60% MVC. An example of a 31P-NMR spectrum of the TA obtained during a 60% MVC exercise is shown in Fig. 1B. A doubling of the Pi peak is clearly visible. Such a doubling of the Pi NMR signal was evident in three subjects. The other four subjects showed a clear broadening of the line width of the Pi peak during exercise and early recovery. In three of these subjects, a second Pi peak was visible in the first spectrum after the end of exercise.
The data of three subjects in which doubled Pi peaks were analyzed are summarized in Table 2. The values were derived from the fitted line pieces through the data points as described. The pH levels derived from the left (low field) and right (high field) Pi peaks are designated as pHhigh and pHlow, respectively. The slopes of pHhigh and pHlow, the maximum difference between pHhigh and pHlow during exercise, and the pH levels at the end of exercise are given. For pHhigh and pHlow, the mean ± SD slopes are (
4.2 ± 4.4) × 10
3 and (
8.4 ± 5.0) × 10
3 pH units/s, respectively, and the mean of the maximum
difference in pH levels during exercise is 0.41 ± 0.03 pH units.
The mean ± SD values at the end of exercise are, respectively,
6.69 ± 0.26 and 6.28 ± 0.24. No slopes are given for
subject 5 because two Pi peaks could only be
analyzed just before the end of exercise and during recovery.
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31P-NMR spectroscopy with only surface
coil localization, 30% MVC.
All seven subjects showed doubled Pi peaks during the 30%
MVC exercise. The results of the pH analysis for all subjects are summarized in Table 3. The values were
derived from fitted line pieces through the data points as described.
The slopes of pHhigh and pHlow, the maximum
difference in pHhigh and pHlow during exercise, and the pH levels at the end of exercise are given for each subject. If
pHhigh or pHlow consisted of two line pieces,
the slope from the first line piece is given. The mean ± SD
slopes for pHhigh and pHlow are, respectively,
(
0.7 ± 0.6) and (
1.4 ± 1.1) × 10
3
pH units/s, and the mean of the maximum difference in pH levels is
0.40 ± 0.07 pH units. The mean pH values (± SD) at the end of
exercise are 6.90 ± 0.16 and 6.54 ± 0.11 for
pHhigh and pHlow, respectively, and 6.34 ± 0.09 if only one Pi peak is left at the end of exercise.
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Two-dimensional phase-encoded 31P
spectroscopic imaging.
The 2D 31P SI measurement required an acquisition time of 8 min. Too much shifting of the Pi peaks during these 8 min
would cause a spread and flattening of the Pi peaks.
Therefore, the 2D 31P SI measurements were performed on
subject 3, who showed two stable pH levels during 30% MVC
in the measurement with only surface coil localization (Fig.
4A). Two 2D 31P SI measurements were acquired in
one session. The first was measured during rest, immediately preceding
the exercise. The signal intensities reflect the sensitivity profile of
the 31P coil (Fig.
5A). Four of the 64 voxels
contained almost all signal intensity. These voxels cover the TA
(31/2 voxel) and part of the EDL (1/2 voxel). Because the
signal intensity is higher in the most ventral voxels, more than

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DISCUSSION |
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pH heterogeneity within the TA.
This study reveals pH heterogeneity in the TA during sustained
isometric exercise at both sides of the anaerobic threshold (30 vs.
60% MVC). This pH heterogeneity is not caused by the contributions of
different muscles in the leg because the only other muscle within the
field of view of the coil (the EDL), which was sometimes activated by
the subjects, contributes to less than 
pH gradient within the TA. The fact that the pH shows a declining gradient from lateral to medial within the TA is possibly caused by differences in blood supply (20). The compliance of the tibia bone is smaller than the compliance of the membrane surrounding the anterior compartment. During a sustained isometric exercise, this could possibly lead to a gradient in intramuscular pressure. If it is assumed that the mean arterial blood pressure and the local metabolic vasodilatation are homogeneously distributed over the whole TA, then blood flow is lowest closest to the tibia bone.
Comparing 60% and 30% MVC. Directly after the start of exercise, a small transient increase of pH is visible in all experiments with only coil localization (also in Fig. 2A, 3A and 4A). This reflects the proton consumption of PCr, which initially is the main energy source in these experiments (4).
In both exercise levels, the decrease of the pHlow is roughly twice as fast as that of pHhigh (Tables 2 and 3). These pH slopes can be used as a measure of glycolytic activity (13). The factor of two corresponds well with the difference of phosphofructokinase activity in fiber types I and II, also a measure of glycolytic activity (7). Recovery of both Pi peaks could only be followed in two cases because the Pi peaks tend to disappear quickly in the noise after exercise. In these two cases (both after 60% MVC), the Pi peak ascribed to the type I fibers disappears much faster than the one ascribed to the type II fibers. This can be explained by the pH dependency of the recovery of Pi (10) and the higher oxidative capacity of the type I fibers (21) and is in agreement with the observations of others (1, 18, 19, 24, 29, 30). The pH heterogeneity is more difficult to measure during 60% MVC than during 30% MVC exercise, although the pH differences at the end of exercise are similar (Tables 2 and 3). An obvious explanation is that fewer data points are available for a 60% MVC exercise. Moreover, a faster shifting of both Pi peaks limits proper analysis.Distribution of peak areas of Pi. A number of issues are relevant in relating the distribution of peak areas to the recruitment of motor units.
1) Johnson et al. (12) and Polgar et al. (20) investigated fiber type distribution and sizes in young, healthy, male subjects. In the superficial region of the TA, they found a mean percentage of type I fibers of 73% and a mean cross section of type I and type II fibers of 2.4 × 10
9 m2 and 3.4 × 10
9 m2,
respectively. Therefore, it is assumed that 64% of the TA cross section consists of type I fibers.
2) With increasing central neural drive, motor units are
recruited according to the size principle of Henneman (8),
whereby smaller type I motor units become active before larger type II motor units.
3) Vandenborne et al. (26) showed that, in
contrast to results of experiments on animals, human muscle with
predominantly type I fibers had the same PCr content as muscle with
predominantly type II fibers. Thus, it is assumed that type I fibers
and type II fibers have the same PCr content in rest.
4) PCr consumption might be higher in type II fibers because
PCr also acts as a proton buffer (31).
5) If local ischemia arises, a part of the
Pi is trapped by mitochondria and becomes invisible for
31P-NMRS (11). Already recruited motor units
will especially "lose" some of their Pi signal. From
the size principle, it can be predicted that the peak area of type I
fibers is most affected.
In the theoretical case that all motor units will be equally recruited
during the whole isometric exercise, around or somewhat less than 64%
of the PCr consumption is attributed to type I motor units (see above,
issues 1, 3, and 4). If two
Pi peaks can be discerned, one expects a somewhat larger
left peak. If ischemia occurs, a decrease of Pi in
all active fibers is expected, leading to a proportional decrease of
both Pi peaks (issue 5). The uptake of
Pi in the mitochondria is possibly larger in type I fibers because of a larger mitochondrial density in that fiber type. In that
case, a larger decrease of the left Pi peak is expected.
During sustained isometric exercise at 30 or 60% MVC, the prediction
is more complicated because only a part of the motor units is recruited
at the start of exercise. Fatigue and/or a deterioration of blood
supply forces the system to recruit more motor units. Even at sustained
isometric exercise at 30% MVC, deterioration of blood supply may
occur, caused by an increase of intramuscular pressure
(3). Two Pi peaks appear as soon as most type
I units and a part of the type II units are recruited (issue
2) and intracellular protons accumulate. A relatively larger left
Pi peak and a smaller right Pi peak are
expected. The difference between the peak areas depends on the number
of type II motor units that is necessary at that time and on the level
of ischemia (issue 5). The more type II units
involved, the larger the right Pi peak; the more
ischemia, the smaller the left Pi peak.
Our results (Figs. 2, 3, and 5C) nicely illustrate that an
increase of the relative size of the right Pi peak
coincides with a notable decrease of pHhigh and
pHlow. This is particularly clear during the last part of
the exercise at 30% MVC, where (in most of our subjects) a striking
increase of the right Pi peak occurs in coincidence with an
accelerated decline of pHhigh. All together, this points to
a deterioration of blood supply combined with anaerobic glycolysis.
This fits well with the mechanisms sketched above: the lower the blood
flow, the less efficient type I fiber contributions and thus the more
type II motor units have to be recruited, according to the size
principle, to maintain the expected force.
Yoshida and Watari (29) showed the development of
Pi peaks in one subject during a progressive dynamic
exercise at an intermediate frequency (0.8 Hz) of the biceps femoris.
Their results (Fig. 5) show that a substantial increase of the low pH
peak area coincides with a shift of both Pi peaks toward
the PCr peak (after 3-31/2 min of exercise). Although their
exercise is nonisometric, and thus the size principle is disputed
(e.g., Ref. 9), the development of Pi peak
areas and positions suggests an orderly recruitment of motor units.
In conclusion, this study reveals pH heterogeneity in the TA during
sustained isometric exercise below and above anaerobic threshold. The
fact that the spatial pH distribution shows a declining gradient from
lateral to medial within the TA (one subject) is attributed to
intramuscular differences in blood supply. The pH dependency of
relative sizes of both Pi peaks, in the temporally and
spatially characterized 31P-NMRS data, can be explained by
the size principle of motor unit type-related orderly recruitment of
motor units.
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ACKNOWLEDGEMENTS |
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The indispensable technical support from H. J. van den Boogert, A. J. van den Bergh, and J. P. van Dijk is particularly acknowledged.
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FOOTNOTES |
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Address for reprint requests and other correspondence: C. J. Houtman, Dept. of Clinical Neurophysiology, Institute of Neurology, 314, Univ. Medical Centre, Nijmegen, PO Box 9101, 6500 HB Nijmegen, The Netherlands (E-mail: c.houtman{at}czzoknf.azn.nl).
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.
Received 9 November 1999; accepted in final form 15 February 2001.
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