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Journal of Applied Physiology logoLink to Journal of Applied Physiology
. 2016 Jan 7;120(6):649–656. doi: 10.1152/japplphysiol.00871.2015

31P magnetization transfer measurements of Pi→ATP flux in exercising human muscle

Alison Sleigh 1,2,, David B Savage 3, Guy B Williams 1, David Porter 4, T Adrian Carpenter 1, Kevin M Brindle 5,6, Graham J Kemp 7,8
PMCID: PMC4796179  PMID: 26744504

Abstract

Fundamental criticisms have been made over the use of 31P magnetic resonance spectroscopy (MRS) magnetization transfer estimates of inorganic phosphate (Pi)→ATP flux (VPi-ATP) in human resting skeletal muscle for assessing mitochondrial function. Although the discrepancy in the magnitude of VPi-ATP is now acknowledged, little is known about its metabolic determinants. Here we use a novel protocol to measure VPi-ATP in human exercising muscle for the first time. Steady-state VPi-ATP was measured at rest and over a range of exercise intensities and compared with suprabasal oxidative ATP synthesis rates estimated from the initial rates of postexercise phosphocreatine resynthesis (VATP). We define a surplus Pi→ATP flux as the difference between VPi-ATP and VATP. The coupled reactions catalyzed by the glycolytic enzymes GAPDH and phosphoglycerate kinase (PGK) have been shown to catalyze measurable exchange between ATP and Pi in some systems and have been suggested to be responsible for this surplus flux. Surplus VPi-ATP did not change between rest and exercise, even though the concentrations of Pi and ADP, which are substrates for GAPDH and PGK, respectively, increased as expected. However, involvement of these enzymes is suggested by correlations between absolute and surplus Pi→ATP flux, both at rest and during exercise, and the intensity of the phosphomonoester peak in the 31P NMR spectrum. This peak includes contributions from sugar phosphates in the glycolytic pathway, and changes in its intensity may indicate changes in downstream glycolytic intermediates, including 3-phosphoglycerate, which has been shown to influence the exchange between ATP and Pi catalyzed by GAPDH and PGK.

Keywords: 31P magnetization transfer, saturation transfer, Pi↔ATP exchange, exercising muscle


magnetization transfer measurements using 31P magnetic resonance spectroscopy (MRS) of flux between inorganic phosphorus (Pi) and ATP (Pi→ATP), here called saturation transfer (ST), have been widely implemented for the putative assessment of mitochondrial function in skeletal muscle. In 2008, Kemp (13) drew attention to the striking fact that in resting muscle ST is an order of magnitude larger than the net rate of oxidative ATP synthesis that it was claimed to measure, a discrepancy too large to be compensated by the use of relative data presentations such as test/control or post/pre ratios. This and the separate point that a resting flux has no straightforward relationship to metabolic capacity (13, 16) have stimulated much recent debate over the interpretation of this measurement (2, 3, 11, 16, 27, 29, 35).

This discrepancy between ST and known or inferred rates of oxidative ATP synthesis (which we call here the “surplus” ST rate) in skeletal muscle is usually attributed to a rapid, near-equilibrium Pi↔ATP exchange catalyzed by the glycolytic enzymes GAPDH (EC 1.2.1.12) and phosphoglycerate kinase (PGK; EC 2.7.2.3). Some early ST measurements of Pi→ATP flux in Saccharomyces cerevisiae (5, 6, 9) provided evidence for a GAPDH/PGK-mediated exchange contribution. In addition, an in vitro study (8) showed that this GAPDH/PGK couple could, with simulated levels of enzymes and substrates, catalyze sufficient Pi-ATP exchange to explain data obtained in glucose-perfused rat heart. This was subsequently confirmed by Kingsley-Hickman et al. (20) in intact perfused rat myocardium, when they manipulated glycolysis over a range of oxygen consumption rates. GAPDH and PGK activities are similar in human and rat heart and in rat skeletal and human intercostal muscle (31, 32). Although GAPDH activity is lower in human skeletal muscle compared with rat skeletal muscle (106 ± 28 vs. 294 ± 36 U/g tissue), it is still similar or greater than that of rat heart (31, 32).

Another potential explanation for a surplus Pi→ATP flux relates to a mitochondrial Pi-ATP exchange. LaNoue et al. (21) used 33P-radiolabeled tracers in isolated rat liver and heart mitochondria to demonstrate a significant ATP→Pi flux (i.e., in the reverse direction of ATP synthesis), and thus unidirectional Pi→ATP rates in excess of the net ATP synthesis rate. In the transition from zero to maximal net ATP synthesis (in moving from state 4 to state 3 respiration) the Pi→ATP flux doubled, whereas the reverse ATP→Pi flux decreased by >90%. Sheldon and Brindle et al. (30) also provided evidence for a mitochondrial Pi-ATP exchange in vivo using ST measurements in yeast when they removed the glycolytic exchange catalyzed by GAPDH and PGK by lowering PGK expression using an attenuated promoter. Subtraction of the net glycolytic Pi→ATP flux, estimated from measurements of glucose consumption, showed that overexpression of the adenosine nucleotide translocase (ANT) significantly increased the Pi→ATP flux determined using ST measurements.

Other explanations proposed for the anomalously large Pi-ATP flux, such as rapidly exchanging small pools of metabolites (2), remain speculative. For skeletal muscle the literature generally has been interpreted as favoring a glycolytic Pi-ATP exchange mediated by the GAPDH/PGK couple (16, 27, 35), although it has been speculated (3, 11, 30) that in resting muscle with its low respiration rates, mitochondrial-associated Pi-ATP exchange may become more prominent (21).

To investigate the determinants of this flux in vivo, we set out to define the effects of varying oxidative ATP synthesis rates on ST measurements in human skeletal muscle, which has been the main organ of interest in recent ST studies. There have been few studies of ST over a range of respiration rates: in stimulated rat hindlimb muscle (7), in lamb myocardium in vivo (26) and perfused rat myocardium (20), and in rat brain under varying levels of anesthesia (10). The rat hindlimb study (7) has been incorrectly cited (12, 22, 37) as supporting the validity of the resting ST as a measure of oxidative ATP synthesis. That study showed only that the Pi→ATP flux in the stimulated muscle was not very different from the rates of net oxidative ATP synthesis observed in other studies that used similar experimental preparations and concluded that a glycolytic exchange contribution could not be ruled out, particularly in resting muscle. The lamb and rat myocardium studies (20, 26) found that the surplus Pi→ATP flux remained approximately constant, or decreased, with increasing oxidative ATP synthesis rate. A retrospective comparison of the rat hindlimb results (7) with a range of published non-ST data resulted in similar findings (13). In the brain study (10), oxygen consumption was not measured. To study this relationship directly we designed a protocol to measure the steady-state rates of Pi→ATP flux over a range of exercise intensities in human skeletal muscle and compared these with immediate postexercise rates of phosphocreatine (PCr) resynthesis, which are a measure of the suprabasal end-exercise mitochondrial oxidative ATP synthesis rate (15). We hypothesized that the surplus Pi→ATP flux was a result of the exchange catalyzed by GAPDH and PGK and that this would remain unchanged, or decrease, with increasing oxidative ATP synthesis rate.

METHODS

Participants.

Each participant provided written informed consent and all studies were conducted in accordance with the Declaration of Helsinki. Ethical approval was granted by the UK National Research Ethics Service. Eleven healthy adult volunteers (7 men, 4 women) were recruited (age, 29.4 ± 2.8 yr; body mass index, 22.8 ± 0.9 kg/m2; means ± SE). Exclusion criteria included standard magnet contraindications, diabetes mellitus, cardiovascular disease, inability to understand protocol instructions, smoking, and taking medication or supplements known to affect energy metabolism.

Protocol.

Participants were recruited into group A or group B, except one volunteer who entered both groups. Group A consisted of nine volunteers who undertook a single 31P MRS scan with a workload predetermined using a fraction of their previously measured maximum voluntary contraction force. To test the feasibility of this exercise protocol in a variety of participants and over a range of ATP turnover rates, this fraction was varied among the volunteers. The three participants in group B undertook 4 31P MRS scans on different days; the workload varied between visits, yielding sufficient PCr depletion (for measurement of PCr resynthesis) at low workloads while maintaining the exercise tolerability and minimal acidification at higher workloads.

On a prescanning visit, each volunteer's maximum voluntary contraction force was measured using a leg dynamometer (set to the same initial angle of exercise as in the magnetic resonance scanner), and all volunteers were shown an instruction video and given the opportunity to practice to ensure they were comfortable with the full in-scanner exercise protocol.

31P MRS.

Studies used a Siemens MAGNETOM 3T Verio (Erlangen, Germany) scanner, and each 31P MRS scan consisted of resting and exercising ST measurements, and assessment of postexercise PCr recovery kinetics (Fig. 1). The volunteers were positioned supine and a 6-cm-diameter surface coil (RAPID Biomedical, Rimpar, Germany) was attached at the right rectus femoris muscle (which was a location that gave the maximal PCr depletion/workload ratio). Precise coil relocation for participants in group B was obtained by using approximate anatomical distances and then accurately by three-dimensional fasciae landmarks. A magnetic resonance-compatible weight was attached to the right ankle (33) to provide the predetermined workload.

Fig. 1.

Fig. 1.

Schematic representation of the 31P magnetic resonance spectroscopy (MRS) exercise protocol. Solid lines symbolize sequence blocks, gray shaded regions correspond to when exercise occurred. Time from onset of exercise is illustrated by the timeline. In the first exercise section, once exercising steady-state conditions were met, spectra were obtained with saturation of the γ-ATP resonance and then control saturation placed equidistant to the inorganic phosphate (Pi) resonance (SAT-CONT expts). Spectra were also obtained with a long repetition time (TR) of 44 s for calculation of metabolite concentrations (METAB). Following exercise cessation a phosphocreatine (PCr) recovery measurement (REC) was used to assess the immediate end-of-exercise oxidative ATP synthesis rate. Within the second exercise, once in steady state, the inversion recovery data were acquired with varying times between the inversion and subsequent excitation pulse (TIs) (IR expts) with an effective TR of 6 s, and a measure of Mo was also obtained. The four stars represent comparison sites for steady-state conditions.

Resting ST measurement.

Pi magnetization was measured in the presence of selective saturation of the γ-ATP resonance (SAT) and compared with a control in which the irradiation frequency was placed symmetrical to the Pi peak (CONT) using a 1.32-ms BIR-4 adiabatic excitation (34) placed symmetrically between Pi and γ-ATP [repetition time (TR) = 24 s, receiver bandwidth (rBW) = 2,500 Hz, and number of acquisitions (NA) = 48 for each SAT/CONT]. The T1 of Pi with saturation of the γ-ATP resonance (T1′) was measured using an inversion recovery (IR) pulse sequence [7 TIs between 9 and 10,000 ms, effective TR (TReff) = 6 s, NA = 12-20; TI was defined as the time between the inversion and subsequent excitation pulse, and TReff was defined as the time between the excitation and subsequent inversion pulse]. IR data were acquired in blocks that had the same TI, and the first spectrum of each group was eliminated. A fully relaxed spectrum was used to determine metabolite concentrations (NA = 12).

Exercising ST measurement.

Figure 1 outlines the exercising ST protocol. Knee extensions were performed (0.5 Hz) and spectra (TR = 2 s) acquired to ensure steady state was reached before ST acquisition. A soft target was attached to the apex of the scanner bore to prevent participant hyperextension, inhibit waning, and aid in maintaining a steady state. For ST measurements, triggered headphone instructions gave warning and then instructed participants to be still during the excitation and subsequent acquisition; any noncompliance resulted in exclusion of that spectrum. Two minutes of exercise preceded the first useable SAT spectrum and the participants were considered not to be in steady-state exercise if their average [PCr] at time = 80 s differed by >2 standard deviations of the end of exercise [PCr] (Fig. 1). To avoid significant acidification and to increase tolerability of the protocol, the exercise was split into two bouts (shaded regions in Fig. 1). Due to the potential for lengthening of the Pi T1 upon exercise (24), exercising ST parameters were similar to those of resting ST but with TR = 34 s, NA = 8 for each SAT/CONT; 5 TIs, NA = 6–15 for the T1 measurement, and a TR of 44 s and NA = 4 for the metabolite spectra.

Postexercise PCr recovery kinetics.

Ten spectra (TR 2 s) were obtained, which ensured that a steady-state magnetization had been reached (Fig. 1) before cessation of exercise and acquisition of spectra of the recovery kinetics (TR = 2 s, NA = 150). The PCr recovery rate constant, kPCr, was found using a two-parameter monoexponential fit, as described previously (25, 33). The suprabasal mitochondrial oxidative ATP synthesis rate was calculated from the immediate end-of-exercise rates of PCr resynthesis (VATP), which were calculated as VATP = kPCr·[PCrdepleted], where [PCrdepleted] was determined as the difference between resting and exercising [PCr] from the fully relaxed metabolite spectra.

31P MRS analysis.

All spectra were analyzed in jMRUI software (23) and phased and fitted to Lorentzian line shapes using the AMARES (36) algorithm with prior knowledge relating to resonant frequencies, j-coupling patterns, and relative amplitudes. Unlike the resting measurements, no averaging took place during exercise acquisitions and the SAT and CONT individual spectra were fitted (Fig. 2), thereby allowing for any change in the Pi chemical shift over time. IR spectra were averaged for each TI prior to fitting. The γ-ATP resonance from the corresponding resting or exercising metabolite spectra was used for calculation of metabolite concentrations, assuming an [ATP] of 8.2 mM (17). The intracellular pH was determined from the chemical shift of Pi relative to PCr (1), and the free concentration of ADP was calculated using established methods (1) assuming a total creatine pool of 42.5 mM (17). Due to the nonconventional line shapes of the phosphomonoester (PME) resonances, [PME] was determined by integration techniques. This involved using the averaged metabolite spectra and applying an optimized line broadening, equivalent to that of 0.75∗(line width of one singlet of the γ-ATP resonance doublet) before integrating the PME (5.9–7.5 parts per million) and γ-ATP resonances using the cut-and-weigh method. The Levenberg-Marquardt fitting algorithm within MATLAB (MathWorks, Natick, MA) was used to determine the T1′ of Pi from a two-parameter monoexponential fit, where Mo was fixed [from the SAT spectrum at rest and from Mo-for-IR (Fig. 1) when exercising]. The first-order rate constant (k′) was determined according to the equation of Forsen and Hoffman: k′ = [(Mo − Mz)/Mo](1/T1′) and the Pi→ATP flux (VPi-ATP) by multiplication of k′ by the concentration of cytosolic Pi. The exercising VPi-ATP component above the canonical net rate of oxidative ATP synthesis (surplus VPi-ATP) was calculated as VPi-ATP − VATP, where VATP was taken as the immediate end-of-exercise PCr resynthesis rate. Because VATP reflects the rate of suprabasal oxidative ATP synthesis, resting VPi-ATP was taken as the equivalent resting surplus VPi-ATP measure. The rate constant for postexercise PCr resynthesis, kPCr, was taken as a measure of muscle mitochondrial capacity (15).

Fig. 2.

Fig. 2.

Individual time course of metabolite concentrations obtained during steady-state exercise with alternating γ-ATP and control irradiation. Representative (group B volunteer) metabolite concentration time course of PCr (squares), Pi (circles), and γ-ATP (triangles), obtained during steady-state exercise conditions with alternating frequency of saturation (SAT-CONT section in Fig. 1). Each x-axis point corresponds to a single spectrum. Even scan numbers correspond to spectra obtained with saturation of γ-ATP (SAT) and odd scan numbers to the equivalent control saturation frequency equidistant to Pi (CONT). Consecutive points are joined by gray dashed (PCr), solid black (Pi), and dotted black (γ-ATP) lines to aid visualization.

Statistical analysis.

Statistical analysis was performed using IBM SPSS Statistics 21 software (IBM, Armonk, NY) with two-tailed significance set at P < 0.05. A paired-samples t-test was used to test for significant differences between resting and exercising conditions using one data pair per person. Spearman's correlation analysis was used to test for significant correlations because this required fewer assumptions that could be violated. Tests for significant correlations were performed using all data sets from group A and group B volunteers, and by averaging multiple scans from group B to give one data point per person. Quantitative data are expressed as means ± SE.

RESULTS

All participants completed the exercise protocol and were fully compliant with the exercise instructions, resulting in no spectral exclusions. One scan (from a volunteer in group B) was lost due to broadband amplifier hardware failure and the ST data for another scan (of a volunteer in group A) were lost due to an incorrect saturation frequency. One participant in group B declined to provide a resting ST measure during the final visit but completed the exercise protocol, and another participant (in group A) failed to reach the steady-state exercise conditions, and that volunteer's ST exercise data were excluded. All remaining data were used.

Figure 2 illustrates the consistency of the steady-state exercise conditions and the changes in metabolite signals during saturation of the γ-ATP resonance in a representative individual.

Figure 3 shows typical saturation transfer spectra and inversion recovery plots obtained at rest and during steady-state exercise.

Fig. 3.

Fig. 3.

31P MRS measurements of Pi→ATP flux at rest and during steady-state exercise. Representative saturation transfer (ST) spectra at rest (A) and during steady-state exercise (C), with saturation of the γ-ATP resonance (SAT) (A and C, lower right) and corresponding control spectrum (CONT) (A and C, upper right). The CONT spectra show the phosphomonoester (PME), Pi, and phosphodiester (PDE) resonances (A and C, left), superimposed with the SAT Pi resonance to show the difference (Δ) in Pi resonance. Corresponding inversion recovery plot for measurement of the Pi T1 in the presence of γ-ATP saturation both at rest (B) and during steady-state exercise (D).

Table 1 shows mean rest and exercise values of key 31P MRS measures. The overall mean fractional PCr depletion at steady-state exercise was 25 ± 3% (n = 20), and the mean postexercise PCr recovery rate constant (kPCr) was 1.86 ± 0.16 min−1 (n = 11, one kPCr value per person). The mean change in pHi at the end of exercise bout 1, compared with resting conditions, was −0.051 ± 0.016 (n = 20). Splitting of the Pi peak occurred only in one individual in group A, who also had the lowest exercise pHi and the highest exercising VPi-ATP of 39 mM/min, and in this individual the two Pi resonances were fitted and then summed.

Table 1.

Mean resting and exercising ST and PCr resynthesis measures

Resting Exercising Paired-Samples Difference* P
ST, n = 9
    [Pi], mM 3.37 ± 0.18 10.23 ± 1.10 6.9 ± 1.1 <0.001
    T1′, s 4.5 ± 0.1 4.8 ± 0.3 0.3 ± 0.3 0.376
    k′, min−1 2.98 ± 0.35 2.44 ± 0.16 −0.54 ± 0.39 0.204
    VPi-ATP, mM/min 9.8 ± 0.9 25.0 ± 2.9 15.1 ± 3.5 0.003
PCr resynthesis, n = 11
    [PCr], mM 32.9 ± 1.0 23.5 ± 1.2 −9.3 ± 1.2 <0.001
    VATP, mM/min 16.5 ± 1.8 ND

ST, saturation transfer; Pi, inorganic phosphate; T1′, apparent longitudinal relaxation time of Pi in the presence of saturation of the γ-ATP resonance; k′, first-order rate constant; VPi-ATP, rate of Pi→ATP flux; [PCr], concentration of phosphocreatine; VATP, suprabasal oxidative rate of ATP synthesis determined from immediate end of exercise PCr resynthesis; ND, not determined.

Values are means ± SE. Data from volunteers in group B were averaged to provide one value per person to avoid inappropriate weighting.

*

Paired-samples difference (exercising-resting).

Paired-samples t-test to test for significant differences between rest and exercising conditions.

For comparison with exercising, this is 0.0 because VATP reflects suprabasal oxidative ATP synthesis. The net rate of basal oxidative ATP turnover is thought to be approximately 0.5 mM/min (16).

Resting VPi-ATP did not correlate significantly with resting [Pi], [ADP], or [H+] (all P > 0.2, n = 18, or P > 0.5, n = 10 averaging multiple scans from group B).

Figure 4 compares VPi-ATP during exercise with the immediate end-of-exercise rate of suprabasal oxidative ATP synthesis, measured as the initial PCr recovery rate (VATP). Figure 4A shows the relationship between the two, with the line of identity for comparison; Figure 4B replaces the absolute VPi-ATP flux with the increment in VPi-ATP above the resting value. VATP correlated significantly with both the exercising VPi-ATP (r = 0.552, P = 0.017, n = 18) (Fig. 4A) and the suprabasal increment in VPi-ATP (r = 0.500, P = 0.041, n = 17) (Fig. 4B), but this fell outside statistical significance when averaging the multiple scans in group B (r = 0.65, P = 0.058 and r = 0.567, P = 0.112, respectively, n = 9). It is clear that surplus VPi-ATP (i.e., VPi-ATP − VATP, the vertical distance above the line of identity in Fig. 4A), does not, on average, change over this range. Using all data points, exercising surplus VPi-ATP was not correlated with exercising [Pi], [ADP], or [H+] (all P > 0.4, n = 18), but was correlated with exercising [Pi] when averaging the multiple scans in group B (P = 0.02, n = 9).

Fig. 4.

Fig. 4.

Steady-state rates of exercising Pi→ATP flux and its increment above basal levels, compared with measures of oxidative ATP synthesis rates. Exercising steady-state rates of Pi→ATP flux (VPi-ATP) (A) and its increment above basal levels (B), plotted against oxidative ATP synthesis rates (VATP) as measured from the immediate end-of-exercise PCr resynthesis rate. Black stars represent individuals in group A, and multiple scans of the three volunteers in group B are denoted by circles of black, gray, and white, respectively. The solid line represents unity equivalence of the two rates.

Figure 5 shows this work rate-invariance for surplus VPi-ATP as the lack of a significant difference (P = 0.912, n = 9) between resting and exercising surplus VPi-ATP, as assessed by a paired-samples t-test.

Fig. 5.

Fig. 5.

Paired-samples difference (Δ) in surplus Pi→ATP flux and substrate concentrations of the enzymes GAPDH and phosphoglycerate kinase (PGK) between steady-state exercise and resting conditions. Paired-samples (n = 9) mean difference ± SE (exercising-resting values) for surplus VPi-ATP and substrate concentrations of the enzymes GAPDH and PGK; Pi, ADP, and H+. Surplus VPi-ATP was calculated by subtracting the net rate of oxidative ATP synthesis, VATP (estimated as the immediate postexercise PCr resynthesis rate), from the rate of Pi→ATP flux during exercise (VPi-ATP) to provide an estimate of the component of the ST measurement not explained by suprabasal mitochondrial ATP synthesis. Data from volunteers in group B have been averaged to provide one value per person to avoid inappropriate weighting (hence n = 9). A paired-samples t-test was used to test for significant differences between resting and exercising conditions (P values shown).

Figure 6 examines the relationship between VPi-ATP and concentration of PMEs. First, resting VPi-ATP and resting [PME] were highly correlated (r = 0.740, P < 0.001, n = 18) (Fig. 6A), and also when averaging the multiple scans in group B (r = 0.770, P = 0.009, n = 10); these correlations remained significant after elimination of a possible outlier at low values. Second, exercising VPi-ATP and exercising [PME] were also highly correlated (r = 0.730, P = 0.001, n = 18) (Fig. 6B) (or r = 0.867, P = 0.002, n = 9 when averaging the multiple scans in group B). VPi-ATP comprises two components: a component due to net oxidative ATP synthesis (VATP), and a surplus. This correlation of VPi-ATP during exercise with [PME] appears more closely related to the surplus exercising VPi-ATP (r = 0.534, P = 0.023, n = 18; or r = 0.65, P = 0.058, n = 9) (Fig. 6C, gray and black symbols) than the VATP (r = 0.261, P = 0.295, n = 18; or r = 0.067, P = 0.865, n = 9) contribution to exercising VPi-ATP. Linear regression using both resting and exercising data (n = 36) found [PME] to be a significant predictor of surplus VPi-ATP (R2 = 0.291, P = 0.001). Supplementing [PME] with other measured variables revealed that VATP, [Pi], and [ADP] were also significant predictors of surplus VPi-ATP, the models yielding the following results: [PME] and VATP (R2 = 0.572, [PME] and VATP both P < 0.001); [PME] and [Pi] (R2 = 0.467, [PME] P < 0.001, [Pi] P = 0.002); and [PME] and [ADP] (R2 = 0.369, [PME] P < 0.001, [ADP] P = 0.051). In these models VATP, [Pi], and [ADP] were all significant negative predictors of surplus VPi-ATP and hence had a significant effect in reducing the surplus VPi-ATP. This can be seen in Figure 6C, where for a given [PME] the surplus VPi-ATP appears lower when exercising at high VATP. The [PME] and VATP model yielded the highest correlation coefficient, and predicted a surplus VPi-ATP = 4.681 + 5.096 [PME] − 0.335 VATP. When averaging the multiple scans in group B (n = 19), only [PME] alone (R2 = 0.675, [PME] P = 0.002) and [PME] with VATP were significant predictors (R2 = 0.787, [PME] P < 0.001 and VATP, P = 0.02). Figure 6C also illustrates the apparent work-rate invariance of surplus VPi-ATP between resting and exercising conditions (as in Fig. 5), and suggests how this may be the result of the counteracting effects of increasing [PME] and decreasing VATP on the surplus VPi-ATP. These relationships appear to underpin some of the variation in Figure 4.

Fig. 6.

Fig. 6.

Relationship of the Pi→ATP flux with the concentration of phosphomonoester (PME), at rest and during steady-state exercise. A: correlation of resting Pi→ATP flux (VPi-ATP) with resting [PME] (r = 0.740, P < 0.001, n = 18). B: relationship of exercising VPi-ATP with exercising [PME] (r = 0.730, P = 0.001, n = 18). As in Fig. 4, black stars represent the individuals in group A, and the multiple scans of the three volunteers in group B are denoted by circles of black, gray, and white, respectively. C: surplus VPi-ATP relative to [PME] at rest (white diamonds, n = 18) and during exercise (gray and black diamonds, n = 18). Surplus VPi-ATP was calculated by subtracting the rate of suprabasal oxidative ATP synthesis, VATP (estimated as the immediate postexercise PCr resynthesis rate), from the exercising VPi-ATP. Resting VPi-ATP alone was used for the equivalent measure in resting muscle, where suprabasal ATP synthesis is by definition zero. Linear regression using both resting and exercising data (n = 36) found that in addition to [PME], VATP was also a significant negative predictor of surplus VPi-ATP (both [PME] and VATP P < 0.001). This is illustrated schematically here by dividing the exercising data into low (0.0–14.9 mM/min) and high (15.0–30.5 mM/min) exercising VATP groups denoted by gray and black diamonds, respectively. To aid visualization the dashed and solid black lines represent the trend lines for resting and high-exercising VATP groups, respectively, and highlight the association of VATP with reductions in surplus VPi-ATP for a given [PME].

Age correlated significantly with kPCr (r = −0.679, P = 0.022, n = 11), but not with resting VPi-ATP (P = 0.44). Resting VPi-ATP did not correlate with kPCr (P = 0.347). Also, kPCr was not significantly correlated with exercising VPi-ATP, its suprabasal increment, or the surplus exercise VPi-ATP.

DISCUSSION

The novel exercise protocol shown in Figure 1 has allowed ST measurements of steady-state Pi→ATP flux over a range of workloads in human skeletal muscle with limited acidification. Minimizing acidification is important for two reasons. First, the relationships among pH, [PCr], and [ADP] imposed by the creatine kinase equilibrium mean that the interpretation of postexercise PCr recovery kinetics in terms of mitochondrial function is more straightforward. Specifically, a low pH is associated with slower PCr recovery for reasons that have nothing to do with any change in underlying mitochondrial function (15). Second, the use of a nonacidifying exercise protocol limits the contribution of net glycolytic ATP production to the measured Pi→ATP flux. From the known stoichiometry of aerobic glycolysis (4), a reasonable approximation for the aerobic glycolytic rate in C6 units is 1/30 of the rate of ATP synthesis. This is an upper limit because it assumes, unrealistically (28), zero contribution by oxidizing fat. In our experiments the rate of oxidative ATP synthesis is estimated as VATP, the initial postexercise rate of PCr resynthesis, and the highest measured value of VATP (Fig. 4) implies, therefore, an aerobic glycolytic rate of only ∼1 mM/min, or a net glycolytic ATP production rate of ∼2 mM/min. Pyruvate can also be reduced to lactate instead of being oxidized, and the rate of this can be estimated from the change in pH (14, 18). The average pH decrease was ∼0.05 units, which previous studies suggest would drive a H+ efflux rate of ∼0.4 mM/min (19). Consumption of H+ in the creatine kinase reaction can be ignored because there was no change in steady-state [PCr]. Therefore, the anaerobic glycolytic ATP production rate is ∼0.4 mM/min, representing a net glycolytic ATP production rate of no more than ∼2.4 mM/min.

The surplus Pi→ATP flux remained approximately constant (Figs. 4 and 5) over the range from rest to the highest workloads undertaken (low to moderate respiration rates). This is consistent with inferences drawn from the stimulated rat hindlimb data (7, 11, 13). Similar invariance was also reported over low to moderate workloads in epinephrine-infused lamb myocardium; however, the fact that in that system Pi and ADP concentrations do not vary with workload (26) complicates meaningful comparison. In partial contrast, in glucose-perfused rat myocardium over moderate to high workloads the surplus Pi→ATP flux appeared to decrease with increasing workload (20).

We also report for the first time the relationships between Pi→ATP flux and PME concentration (Fig. 6), which included significant correlations of the [PME] with resting, exercising, and surplus Pi→ATP flux. At rest and at the exercise intensities used in our study, the PME resonance is almost exclusively comprised of sugar phosphates (18), mainly glucose 6-phosphate (∼80%) fructose 6-phosphate (∼15%), and glucose 1-phosphate. The relationship of Pi→ATP flux with a [PME] that contains major contributions from glycolytic pathway substrates appears to be consistent with a large glycolytic Pi-ATP exchange contribution. GAPDH and PGK catalyze the coupled reaction: GAP + Pi + NAD+ + ADP ↔ NADH + H+ + 3PG +ATP.

While there was little change in [H+] there were substantial increases in [Pi] and [ADP] between rest and exercise, yet the overall surplus Pi→ATP flux remained unchanged (Fig. 5). One possible explanation for this is that the Pi↔ATP exchange catalyzed by GAPDH and PGK may be also dependent on the concentration of the downstream glycolytic intermediate, 3-phosphoglycerate, [3PG], which would be expected to follow, at least to some extent, the concentration of the sugar phosphates represented by the PME resonance. Experiments with isolated GAPDH and PGK have shown a dependence of the exchange on 3PG concentration (8), although the effects of this are difficult to deconvolve from changes in the equilibrium concentrations of the other substrates of the GAPDH/PGK couple; nevertheless, linear regression of the data shows [3PG] to be a significant predictor (P < 0.001). Another factor relevant to the relationship between Pi→ATP flux and [PME] might be the positive correlation of [PME] with [Pi] found when considering all data points (at rest P = 0.038; exercising P = 0.012, n = 18); however, (notwithstanding its purely algebraic contribution; VPi-ATP = k′[Pi]), resting [Pi] was not significantly correlated with resting Pi→ATP flux, nor exercising [Pi] with exercising surplus Pi→ATP flux (n = 18).

In this work we have defined the response of VPi-ATP in human skeletal muscle to large perturbations in the rate of ATP turnover, and partitioned it into the component due to net oxidative ATP synthesis, and what we have called surplus Pi→ATP flux. The approach taken does not of course allow us to experimentally dissect contributions to the latter, although we have shown that net glycolysis cannot be a significant contribution. However, the correlations and surprising lack of correlations we have observed between fluxes and concentrations allow some mechanistic speculation. Taking the resting and exercising data together, [PME] was a significant positive predictor of surplus Pi→ATP flux. Supplementing [PME], the suprabasal oxidative ATP synthesis rate was also found to be a significant predictor of the surplus flux, but acting in the opposite direction (Fig. 6C). The opposing effects of [PME] and VATP resolve into the overall invariance in surplus Pi→ATP flux between resting and exercising conditions (Figs. 5 and 6C), and also explain some of the observed variation in Pi→ATP flux (Figs. 4 and 6). Because little is known about [3PG] levels in skeletal muscle during exercise, we can only speculate that this may reflect a lower 3PG:PME ratio at higher net glycolytic flux.

Reflecting on all potential routes for transfer of magnetization between Pi and ATP, the Pi and γ-ATP resonances can exchange magnetization in the coupled reactions catalyzed by GAPDH and PGK, and possibly also via the ATP synthase (30), and via the unidirectional reactions of net ATP synthesis and breakdown. Net ATP synthesis, leading to direct transfer of magnetization between Pi and ATP, takes place in the reaction catalyzed by mitochondrial ATP synthase and, indirectly, following net glycolytic flux through the GAPDH and PGK reactions, although we have shown the latter to be insignificant under the conditions of this study. Glycolytic ATP synthesis in the reaction catalyzed by pyruvate kinase will not result in transfer of magnetization between Pi and γ-ATP. Net ATP breakdown, leading to direct transfer of magnetization between ATP and Pi, will take place in muscle predominantly in the reaction catalyzed by the myofibrillar ATPase. All other routes for exchange of magnetization between Pi and the γ-phosphate resonance of ATP, most of which are less direct, are likely to be much slower.

In summary, we have demonstrated the feasibility of measuring Pi→ATP flux in human exercising muscle over varying workloads. The surplus Pi→ATP flux (that is, the amount by which it exceeds the known net mitochondrial ATP synthesis rate, estimated here from PCr recovery kinetics) is, on average, unchanged between rest and steady-state exercising conditions. This is in agreement with previous indirect inferences from rat skeletal muscle data, but seems surprising if (as commonly believed) the source of the surplus flux is Pi-ATP exchange mediated by the glycolytic enzymes GAPDH and PGK, in view of the substantial changes in [Pi] and [ADP] associated with increasing ATP turnover. However, some involvement of the GAPDH/PGK catalyzed exchange is suggested by the correlations observed between absolute and surplus Pi→ATP flux and [PME] both at rest and during exercise. We speculate that this may be due to downstream changes in [3PG] concentration, which has been shown to influence GAPDH/PGK exchange kinetics in vitro.

GRANTS

This work was funded by the Clinical Research Infrastructure Grant and the Siemens MAGNETOM 3T Verio scanner is funded by the NIHR via an award to the Cambridge NIHR/Wellcome Trust Clinical Research Facility. D.B. Savage is supported by the Wellcome Trust (091551).

DISCLOSURES

No conflicts of interest, financial or otherwise, are declared by the authors.

AUTHOR CONTRIBUTIONS

A.S. and G.J.K. conception and design of research; A.S. and D.B.S. performed experiments; A.S. analyzed data; A.S., K.M.B., and G.J.K. interpreted results of experiments; A.S. prepared figures; A.S. and G.J.K. drafted manuscript; A.S., D.P., K.M.B., and G.J.K. edited and revised manuscript; A.S., D.B.S., G.B.W., D.P., T.A.C., K.M.B., and G.J.K. approved final version of manuscript.

ACKNOWLEDGMENTS

We are grateful to all the participants and Victoria Lupson (Wolfson Brain Imaging Centre, Cambridge UK). We thank Dr Craig Buckley (Siemens Healthcare Ltd, UK) and Dr Peter Murgatroyd (Cambridge NIHR/Wellcome Trust Clinical Research Facility, UK) for helpful discussions.

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