Magnetic resonance spectroscopy offers a broad range of noninvasive analytical methods for investigating metabolism in vivo. Of these, the magnetization-transfer (MT) techniques permit the estimation of the unidirectional fluxes associated with metabolic exchange reactions. Phosphorus (31P) MT measurements can be used to examine the bioenergetic reactions of the creatine-kinase system and the ATP synthesis/hydrolysis cycle. Observations from our group and others suggest that the inorganic phosphate (Pi) → ATP flux in skeletal muscle may be modulated by certain conditions, including aging, insulin resistance, and diabetes, and may reflect inherent alterations in mitochondrial metabolism. However, such effects on the Pi → ATP flux are not universally observed under conditions in which mitochondrial function, assessed by other techniques, is impaired, and recent articles have raised concerns about the absolute magnitude of the measured reaction rates. As the application of 31P-MT techniques becomes more widespread, this article reviews the methodology and outlines our experience with its implementation in a variety of models in vivo. Also discussed are potential limitations of the technique, complementary methods for assessing oxidative metabolism, and whether the Pi → ATP flux is a viable biomarker of metabolic function in vivo.
Because of its versatility, magnetic resonance spectroscopy (MRS) has emerged as a powerful modality for studying tissue-specific intracellular metabolism in vivo. Several metabolically relevant nuclei, including hydrogen (1H), carbon (13C), and phosphorus (31P), are magnetic resonance (MR)-visible, permitting the detection of a range of metabolites in a variety of tissues. The noninvasive nature of the technique allows repeated measurements from the same location, so that the response to an acute intervention (e.g., exercise, insulin stimulation) or longer-term treatment (e.g., diet manipulation, drug therapy) can be assessed. Using more sophisticated MRS techniques, discrete reaction rates can also be estimated using 13C-MRS to monitor the metabolic fate of 13C-labeled substrates or by using magnetization-transfer (MT) techniques to monitor the unidirectional fluxes associated with metabolic exchange reactions. Of these, 31P-MT methods offer the ability to examine the key bioenergetic reactions of the creatine kinase (CK) equilibrium (ATP ⇆ phosphocreatine [PCr] exchange) and the ATP synthesis/hydrolysis cycle (ATP ⇆ inorganic phosphate [Pi] exchange). Particular interest has been generated by the observations from our group and others that unidirectional Pi → ATP flux in muscle may be modulated in certain disease states, including insulin resistance and diabetes, that may reflect alterations in mitochondrial metabolism. However, disparate results have been reported by different groups, and recent articles have raised concerns about the absolute magnitude of the measured reaction rates. Given that many clinical MR scanners now have the capability of performing 31P-MT experiments and the implementation of the method is becoming more widespread, we would like to offer our perspective on the application of the technique in vivo. In this article, we review our experience using the 31P-MT technique to measure Pi → ATP flux in a variety of models, describe limitations of the methodology, assess alternative and complementary methods of estimating cellular bioenergetics, and discuss the validity of using the technique as a biomarker of metabolic function in vivo.
THE MT TECHNIQUE
The MT techniques work on the principle that if the MR signal of an exchanging metabolite is perturbed, the transfer of this effect to its exchange partner can be detected, while leaving the underlying chemical equilibrium unaffected. The perturbation may either eliminate (saturate) or invert the signal of the initial metabolite of interest and is accomplished by applying a frequency-selective saturation or inversion pulse prior to acquiring the MR spectrum. These approaches give rise to the saturation-transfer (ST) and inversion-transfer techniques, respectively. For in vivo studies, the ST technique is typically used because of ease of calibration of an effective frequency-selective saturation pulse. On in vivo MR systems, particularly those used for human studies, the accurate, short-duration inversion pulses required for the inversion-transfer technique are difficult to implement due to inherent limitations in radiofrequency field homogeneity and the high-power requirements of such pulses. The ST effect from the terminal (γ) phosphate group of ATP to PCr due to the CK equilibrium and to Pi due to ATP synthesis/hydrolysis in skeletal muscle is shown in the 31P spectra in Fig. 1. The magnitude of the effect (e.g., ΔPCr or ΔPi) is proportional to the kinetics of exchange. Underlying assumptions for the application of the technique are that the metabolites of interest have distinct peaks in the MR spectrum, that exchange is at steady state (i.e., that the metabolite concentrations do not change during the experiment), and that exchange is rapid with respect to the lifetime of the MR signal.
The ATP synthesis/hydrolysis cycle is a phosphate-exchange reaction under the chemical equilibrium shown in Eq. 1, where kf and kr are the forward and reverse rate constants. From simple reaction kinetics, the forward reaction (Pi → ATP flux) rate is equivalent to the forward rate constant multiplied by the concentrations of ADP and Pi (Eq. 2). At steady state, the tissue concentration of ADP remains constant, and this relationship can be simplified to generate a pseudo–first-order rate constant of exchange for Pi (k′f) that incorporates the effects of the ADP concentration (Eq. 3). During the ST experiment (Fig. 1), γATP saturation causes a reduction in the observed Pi signal (M′) from its equilibrium value (M0) due to the effects of phosphate exchange (i.e., k′f) and the influence of the effective MR relaxation time (T1′) of Pi (Eq. 4).
Equation 4 requires that the following conditions are met: that there is full equilibration between the sites of ATP utilization (i.e., in the cytosol) and ATP production (mitochondria and cytosol); that across this system, ATP production ≡ utilization; that the saturation pulse fully nulls the γATP signal and has minimal off-resonance effects; and that the detected compartment (i.e., cytosolic Pi) is fully MR-visible and not participating in competing reactions. A more detailed description of the effects of chemical exchange on the observed MR signal and the derivation of these equations is beyond the scope of this article but can be found in the classic articles describing MT from McConnell (1) and Forsen and Hoffman (2).
From a practical perspective, the estimation of Pi → ATP flux therefore requires the determination of three parameters: 1) calculation of the ST effect (M′/M0) from γATP to Pi; 2) calibration of the T1 of Pi under conditions of γ-ATP saturation (T1′); and 3) determination of the intracellular Pi concentration. The unidirectional (Pi → ATP) flux that contributes to the exchange can then be calculated according to Eq. 3. To ensure that a study is fully described, we recommend that all of these parameters are reported when publishing data acquired using the 31P-ST technique. Two experimental approaches are possible: in the progressive saturation experiment, M′ and T1′ are determined simultaneously by acquiring a series of spectra in which the duration of the saturation pulse is gradually lengthened, and the extent of the ST effect increases until steady state is achieved. Alternatively, M′ can be determined from a single spectrum in which the duration of the saturation pulse is sufficient (i.e., several times T1′) to establish the new steady-state MR equilibrium, with T1′ determined by a separate experiment. An inversion-recovery calibration with γATP saturation during the repetition time (TR) and throughout the inversion delay will typically be performed to estimate T1′. The intracellular concentration of Pi can be determined from a fully relaxed 31P spectrum (where TR >> T1, and all metabolites are detected with equal sensitivity) with reference to ATP as an internal standard. Imperfections in the frequency specificity of the saturation pulse can lead to off-resonance effects modulating the intensity of the peak of interest. Therefore, M0 is usually determined under control saturation conditions with the saturation pulse irradiating a downfield frequency from Pi that mirrors the separation between the γATP and Pi peaks. These effects can be significant, particularly at lower MR field strengths in which the frequency separation between the exchanging metabolites is relatively small (3,4). The performance and off-resonance effects of a saturation pulse are also influenced by its duration and therefore may not be consistent between the variable saturation pulse lengths of the progressive saturation experiment. We have found that this tends to lead to an underestimate of T1′ and prefer the steady-state style experiment, in which pulse performance is equivalent among all scans.
PRACTICAL CONSIDERATIONS FOR THE IMPLEMENTATION OF 31P-ST IN VIVO
Because rates of Pi → ATP flux determined using the 31P-ST experiment incorporate the measurement of three independent parameters (M′/M0, T1′, and [Pi]), it is important to estimate these parameters as accurately as possible. High signal/noise 31P spectra are required, particularly for the determination of M′/M0, in which a relatively small decrement (∼20%) in the magnitude of the Pi resonance, present in relatively low concentration (∼2 mmol/L) compared with the other 31P metabolites, is detected. Therefore, a stable experimental setup is required that minimizes or eliminates movement of the region of interest. Inadvertent contractions may perturb the maintenance of metabolic steady state in muscle and should be prevented. For animal experiments, these conditions are best satisfied by performing the ST experiment under light anesthesia. To ensure precision in the estimate of M′/ M0 in our studies, we repeat the measurement multiple times to confirm experimental stability.
The duration of the experiment will be dependent on the tissue of interest, species, and field strength of the MR system used. Our 31P-ST experiments in human muscle take ∼60 min on a 4 Tesla system, whereas 4–6 h are required for an ST experiment in mouse hindlimb at 9.4 Tesla due to the relatively small mass of muscle tissue available. The overall length of the ST experiment is dominated by the estimation of T1′, which requires the acquisition of several spectra to characterize the evolution of the MR signal. This calibration can be shortened by obtaining fewer points, although this will also decrease the accuracy of the calibration. Faster methods are available that allow the estimation of T1 by varying the extent to which the MR signal is excited (variable flip-angle methods) (5); however, the implementation of these methods in vivo can be problematic because very accurate excitation pulses are required for precise estimation of the T1 relaxation time.
BIOLOGICAL APPLICATIONS OF 31P-ST TO MEASURE Pi → ATP FLUX
The biological feasibility of using the ST technique to assess Pi → ATP flux was initially demonstrated in cell suspensions of Escherichia coli (6). Subsequent experiments in yeast cell suspensions (7) and implementation of the technique in the isolated perfused heart (8,9) and perfused liver (10) preparations demonstrated the applicability of the technique in a variety of in vitro systems. Translation of the methodology to in vivo applications was first performed in rat brain (11) followed by studies in the exercising rat hindlimb in vivo (12) and semi-invasive studies of dog (13) and lamb heart (14). We sought to add in vivo estimates of Pi → ATP flux by 31P-ST to complement 13C-MRS methods we were developing to assess rates of substrate oxidation via the tricarboxylic acid cycle (TCA cycle flux) in resting skeletal muscle. We initially performed proof-of-principle studies in rat hindlimb (15,16) followed by studies in human muscle to validate the methods (17) and examine how these metabolic fluxes were modulated by aging (18), insulin resistance (19,20), and endurance exercise training (21). We have also taken advantage of transgenic mouse models to examine how overt genetic modulations of mitochondrial content (22) and metabolism may influence the flux measured by the 31P-ST technique (23; D.E.B. and G.I.S., unpublished observations). More recently, there has been a rapid expansion in the number of studies using the 31P-ST technique in vivo, with applications examining the effects of insulin stimulation (24,25), insulin resistance (26–28), diabetes (29,30), MELAS (mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes) syndrome (31), and acromegaly (32) on resting muscle Pi → ATP flux. Pilot studies have been reported in human liver (33,34), and validation experiments have been performed in human (35,36) and rat (37) brain.
LIMITATIONS OF THE 31P-ST TECHNIQUE
The early studies examining the applications of the 31P-ST technique in vitro observed that under certain conditions, the measured Pi → ATP flux was significantly greater than that predicted from oxygen consumption measurements, assuming the theoretical phosphate-to-oxygen (P:O) ratio for mitochondrial oxidative phosphorylation of ∼3. This phenomenon was demonstrated not only in yeast (7,38) but also in isolated perfused heart (39) and liver (10). The study by Alger et al. (7) noted that an appreciable Pi → ATP flux could be detected in yeast under anaerobic conditions that was insensitive to the mitochondrial inhibitor oligomycin, suggesting that ATP synthesis via glycolysis was also detected by 31P-ST and may augment the flux observed under aerobic conditions. Studies using glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and phosphoglycerate kinase (PGK) in solution at concentrations and conditions designed to mimic those found in the Langendorff perfused heart confirmed that these enzymes could catalyze a significant Pi → ATP flux (40). Subsequent experiments using iodoacetate to inhibit ATP generation via the GAPDH/PGK enzyme couple demonstrated that these enzymes were contributing significantly to the measured Pi → ATP flux rates in these systems (10,38,39) potentially via catalyzing Pi ⇆ ATP exchange. With the GAPDH/PGK contribution eliminated, the apparent P:O ratio was normalized to ∼2 to 3, below the theoretical limit (38,39). It has also been demonstrated using radiolabeled phosphate that near equilibrium Pi ⇆ ATP exchange can occur within isolated mitochondria at low respiration rates (41), either at the level of the ATP synthase complex or the adenine-nucleotide translocase (ANT). At higher respiration rates, the reverse flux (ATP → Pi) was significantly decreased, leading to a switch from reversible Pi ⇆ ATP exchange to unidirectional ATP production by the mitochondrion. This observation is consistent with the normalization of P:O at higher workloads in heart (14,39) and exercising rat muscle in vivo (12). Overexpression of the F1F0 ATP synthase in E. coli had no effect on the Pi → ATP flux measured by 31P-ST (42) under aerobic conditions. In contrast, overexpression of the ANT in yeast oxidizing glucose led to a significant increase in Pi → ATP flux (43), indicating a role for the ANT in catalyzing Pi ⇆ ATP exchange.
INFLUENCE OF NEAR-EQUILIBRIUM Pi ⇆ ATP EXCHANGE ON IN VIVO STUDIES USING 31P-ST
Recent articles have expressed concern over the contribution of unidentified Pi ⇆ ATP exchange mechanisms to absolute rates of Pi → ATP flux measured in vivo using 31P-ST, highlighting the discrepancy between estimated P:O ratios and querying whether this unidirectional flux reflects mitochondrial activity (44–46). In addition to putative contributions from exchange via GAPDH/PGK (45) and at the mitochondrion, Balaban and Koretsky (46) suggest that small metabolite pools, undetectable in the 31P-MR spectrum due to their low concentration, could be irradiated during the ST experiment, undergo exchange with Pi, and contribute to the observed MT effect. These concerns are certainly valid in terms of deconvoluting the specific mechanisms that contribute to the Pi → ATP flux and quantifying absolute rates of net (i.e., forward flux minus reverse flux) mitochondrial ATP synthesis.
When considering the extent to which glycolytic ATP production or GAPDH/PGK exchange may contribute to the observed rates of Pi → ATP flux measured by the 31P-ST experiment in vivo, it is worth noting that observations from these in vitro studies may not translate directly to those in an intact organisms due to several factors. Firstly, absolute rates of Pi → ATP flux measured in vitro in both cell preparations and isolated organs are significantly higher than those measured in vivo (Table 1). These in vitro systems are often studied under conditions in which glucose is the sole or primary substrate, which may enhance the contribution of glycolytic metabolism to the measured Pi → ATP flux and play a role in the erroneously high P:O ratios observed in these preparations. Furthermore, there are substantial differences in the expression of glycolytic enzymes between tissues and different species. The expression/activity levels for PGK, which exhibits a high flux control coefficient for ATP ⇆ Pi exchange (47), can vary by an order of magnitude among human tissues and between the same tissue in humans and rodents (Table 2). Resting skeletal muscle, for example, derives most of its energy from fat oxidation rather than glycolysis, and this is reflected in the relative PGK activity where heart ≈ brain >> liver > muscle. PGK activity in most human tissues is significantly lower than in the counterpart tissue in rats and substantially lower than that in mice, reflecting the greater reliance on glycolytic metabolism in rodents. In brain, despite the high PGK activity and significant role for glycolysis, close to theoretical P:O ratios have been reported (35,37). The extrapolation of metabolic mechanisms between in vitro and in vivo preparations, from one tissue to another or between different species, is therefore not straightforward, and we urge caution when interpreting the ramifications of an observation in a particular preparation.
In the following section, we will describe our experiences with the 31P-ST technique in a variety of systems, which along with studies from other laboratories, support the notion that Pi → ATP flux responds to perturbations in oxidative metabolism and, when supported by complementary methods, can be used as a biomarker of in vivo mitochondrial activity. Detailed descriptions of the experimental procedures we have used can be found in the cited literature. It is worth noting that although different MR systems were used, we implemented comparable 31P-ST protocols for all of our human and rodent studies. Saturation-pulse lengths, sequence repetition times, and the delays for the inversion-recovery calibration were optimized according to the inherent T1′ of Pi on each MR system, and appropriate coil geometries were chosen for the region of interest.
The most compelling evidence we have obtained that demonstrates that the Pi → ATP flux measured by 31P-ST responds to perturbations in skeletal muscle oxidative function is from transgenic mouse models with direct manipulation of genes that modulate mitochondrial content and metabolism. Mice with muscle-specific overexpression of peroxisome proliferator–activated receptor γ (PPARγ) coactivator 1α (PGC1α), a regulator of oxidative metabolism, exhibit increased mitochondrial density and enhanced expression and protein content of genes involved in oxidative phosphorylation. Pi → ATP flux in the muscle of these mice was increased ∼40% (Fig. 2), and a concomitant increase in fatty-acid oxidation was detected in isolated soleus muscle strips (22). It is interesting to note that short-term (3 weeks) high-fat feeding enhanced muscle Pi → ATP flux in both wild-type and PGC1α overexpressing mice (22) (Fig. 3). This phenomenon is supported by data obtained from rats fed a high-fat diet for 2.5 weeks in which the in vivo oxidative capacity of muscle (assessed using the 31P-MRS PCr recovery method) was increased as well as mitochondrial DNA content and the oxidative capacity of isolated mitochondria (48), presumably to increase the ability to oxidize the excess of available lipid. Significantly, this enhancement in mitochondrial capacity had dissipated after 25 weeks of high-fat feeding, despite a sustained elevation in mitochondrial DNA, which corresponds with the decreased muscle Pi → ATP flux observed in rats fed a high-fat diet for longer (10-week) duration (49). Uncoupling protein 3 (UCP3) is a mitochondrial membrane protein found in skeletal muscle that has high homology with UCP1, which is found in brown adipose tissue and mediates thermogenesis by dissipating the H+ electrochemical gradient across the inner mitochondrial membrane. We observed that in vivo skeletal muscle Pi → ATP flux was increased in UCP3 knockout mice (23); conversely, muscle-specific overexpression of UCP3 led to a decreased flux (D.E.B. and G.I.S., unpublished observations) [Fig. 2, data were acquired using the same MR protocols as described in Choi et al. (22)]. These observations are supported by in vitro data. The ATP/ADP ratio was increased in mitochondria isolated from the muscle of UCP3-knockout mice, and State III (ADP-stimulated) respiration rates were increased (50). Palmitate and pyruvate oxidation have been observed to be elevated in soleus muscle strips isolated from UCP3 overexpressing mice (51) accompanied by an increased in State IV (nonstimulated) respiration rates in mitochondria (52) and whole-body energy expenditure (53).
To more fully characterize mitochondrial oxidative function in skeletal muscle in vivo, we use estimates of Pi → ATP flux assessed by 31P-ST in conjunction with direct measurements of substrate oxidation via the TCA cycle using dynamic 13C-MRS. A thorough analysis of this technique is beyond the scope of this article and can be found in the literature (20,54), but a brief description is warranted. Rates of TCA cycle flux in muscle can be estimated by infusing 13C-labeled acetate and using 13C-MRS to monitor 13C-label incorporation into the muscle glutamate pool, which acts as a surrogate for the intermediates of the TCA cycle. Kinetic analysis of the time courses of 13C glutamate enrichment can be accomplished using computer-modeling techniques to fit the data to a metabolic model of the TCA cycle, and rates of acetate oxidation and total TCA cycle flux can be estimated. These studies use pharmacy-prepared, sterile infusates of acetate, a naturally occurring endogenous substrate, that have been positionally enriched with the MR-visible stable isotope of carbon (13C). Concentrations of plasma acetate during the infusion remain relatively low (∼1 mmol/L) to avoid mass action effects of the substrate that could otherwise influence metabolism. As such, these studies can be accomplished under conditions that minimize the perturbation of resting muscle metabolism, are minimally invasive, and very safe.
We found that both Pi → ATP flux, measured by 31P-ST, and TCA cycle flux, measured by 13C-MRS, were both reduced by ∼40% in the calf muscles of healthy, lean, elderly individuals (∼70 years of age) with respect to healthy, young (∼27 years), control subjects who were matched for BMI and physical activity (Fig. 4) (18). Similarly, using the same 13C- and 31P-MRS methods, both TCA cycle and Pi → ATP flux were reduced by ∼30% in healthy, young, lean, insulin-resistant (IR) offspring of type 2 diabetic patients (IR offspring) compared with age-BMI-activity–matched insulin-sensitive (IS) control subjects (IS subjects) (19,20) (Fig. 5). In vitro analysis of muscle biopsy samples from a similar cohort of IR offspring (55) revealed a comparable ∼35% reduction in mitochondrial density, as assessed by electron microscopy, as well as decreased content of proteins associated with oxidative phosphorylation (cytochrome c oxidase-1, succinate dehydrogenase, and pyruvate dehydrogenase) compared with matched IS subjects. This reduction in mitochondrial content and function in the young, lean IR offspring was consistent with a reduction in the ratio of slow-twitch (oxidative) muscle fibers to fast-twitch (glycolytic) fibers (19).
We have also examined muscle-specific Pi → ATP flux in different muscle groups of the calf using a localized version of the 31P-ST method to restrict the measurement to either the gastrocnemius or soleus muscle compartments (Fig. 6). Muscle-specific Pi → ATP flux, measured in healthy volunteers, was significantly faster in the soleus muscle compared with the gastrocnemius (VPi → ATP = 8.12 ± 0.86 vs. 4.97 ± 1.08 mmol/g/min) (56). This disparity in Pi → ATP flux is consistent with the differences in mitochondrial number, oxidative enzyme content, and oxygen consumption expected for the more oxidative phenotype of the soleus than the gastrocnemius (57–61).
We have used the combination of 31P-ST assessment of Pi → ATP flux and 13C-MRS measurement of TCA cycle flux to noninvasively assess energetic efficiency in skeletal muscle in both humans and rodents (16,17). Mitochondrial uncoupling stimulated by acute 2,4-dinitrophenol (DNP) or chronic thyroid hormone (T3) administration are known to lead to an increase in oxygen consumption (16,62–66). Consistent with this mechanism of action, DNP and T3 treatment in rats caused substantial increases in muscle TCA cycle flux, yet the Pi → ATP flux was unaffected, reflecting decreased mitochondrial efficiency (16). This observation was supported by a lack of effect of either T3 or DNP on the ATPase activity of isolated mitochondria or any detectable differences in muscle GAPDH/PGK exchange rates assessed by the deuterated glucose technique. Similar decreases in mitochondrial energetic efficiency using the same in vivo 13C-/31P-MRS methods have also been observed in human skeletal muscle in response to T3 treatment (17).
These data indicate that rates of resting muscle Pi → ATP flux and substrate oxidation via the TCA cycle determined using 31P- and 13C-MRS techniques appear to track qualitatively with modulations in mitochondrial content and the extent of mitochondrial uncoupling. Assuming that three molecules of O2 are ultimately consumed per C2 unit oxidized by the TCA cycle and that the P:O ratio is ∼3 (these approximations hold whether the substrate source is fatty acids or glucose), rates of muscle Pi → ATP flux are estimated to be ∼1.6 μmol/g/min. Therefore, absolute rates of ATP production measured using the 31P-ST technique (∼7.5 μmol/g/min) are still significantly higher than those calculated from TCA cycle activity. It is worth noting that this discrepancy in ATP production (∼4.7-fold) is far lower than that estimated from measurements of oxygen consumption by arterio/venous (A/V) difference, near infrared spectroscopy (NIRS), and 15O2 positron emission tomography (44). This is because rates of oxygen consumption calculated from TCA cycle flux data (∼0.29 μmol(O2)/g/min) exceed those calculated by NIRS and positron emission tomography by 3–10-fold and are at the upper limit of literature values reported using A/V difference methods. We believe that phenotypic differences in the muscle group(s) examined using the different techniques contribute, in part, to these discrepancies in rates of O2 consumption and may be exacerbated by experimental considerations for each method. For example, A/V difference methods tend to sample blood-oxygen concentration across an entire limb in which other tissues may contribute to the measured O2 consumption. Accurate estimates of muscle mass/volume are also required to determination rates of O2 utilization. NIRS techniques sample from a relatively superficial region of interest that may not exhibit comparable rates of O2 consumption to the bulk of the tissue. We feel that the most relevant methodological comparison is between the TCA cycle flux and 31P-ST because both 13C and 31P data were acquired from comparable regions of interest in the calf muscles. As discussed above, we believe that the disparity in absolute rates of ATP production estimated by these methods in resting muscle is likely because of near equilibrium Pi ⇆ ATP exchange at the level of the mitochondria, with only a minor contribution from exchange catalyzed by GAPDH/PGK.
Data from other groups also support the notion that in vivo estimates of Pi → ATP flux correlate with tissue oxidative metabolism. Brindle et al. (12) examined the effects of electrically stimulated contractions on rat muscle using 31P-ST and observed a linear response of Pi → ATP flux to increases in muscle workload. An earlier study in perfused muscle established that muscle oxygen consumption is also proportional to workload (67). Comparing the data from these studies, despite Pi ⇆ ATP exchange contributing to the measured unidirectional Pi → ATP flux at rest and leading to an overestimation in the P:O ratio in quiescent muscle, at higher workloads the P:O ratio trended toward the theoretical value. Although the increases in Pi → ATP flux and oxygen consumption due to muscle contraction were not directly proportional, the 31P-ST measurement appeared to track oxygen utilization and therefore respond to increases in mitochondrial activity. In the rat brain, by modulating the depth of anesthesia, Pi → ATP flux was found to be tightly correlated with the cerebral activity level and the extent of energy demand (37). Similarly, rates of Pi → ATP flux measured in the human visual cortex (35) and monkey brain (68) agree well with predicted values calculated from cerebral metabolic rates of glucose or oxygen consumption or from MRS measurements of TCA cycle flux.
METABOLIC IMPLICATIONS OF DIFFERENCES IN RESTING MUSCLE Pi → ATP FLUX
In contracting muscle, numerous studies have demonstrated that mitochondrial ATP production is likely to be demand-driven and regulated through substrate-level feedback via ADP and Pi, both of which increase in response to contractile activity. The factors that regulate mitochondrial activity in resting muscle in vivo are less clear, in which any underlying metabolic perturbations are likely to be more subtle (and therefore difficult to detect experimentally). In this section, we discuss the metabolic implications that stem from our observations of reduced rates of basal Pi → ATP flux in the muscle of elderly individuals and IR offspring.
Under basal conditions, protein synthesis and the maintenance of ion homeostasis are likely to be the major cellular processes that consume ATP. There is evidence to suggest that rates of protein synthesis are decreased in the muscle of elderly subjects (69,70) and that pH and ion homeostasis may be disrupted (71,72). Although blunted increases in protein synthesis in response to insulin stimulation have been reported in individuals with type 2 diabetes (73), basal rates of muscle protein synthesis appear to be unaffected (74). Decreased content and activity of the Na+/K+-ATPase, a transmembrane ion pump that maintains the cellular membrane homeostasis, has been reported in type 2 diabetic patients (75), obese IR individuals (76), and in response to high-fat feeding (77). The activity of this protein may contribute significantly to basal energy requirements in muscle as well as other tissues (78). These observations match with the decreases in TCA cycle and ATP flux that we observe in the muscle of elderly and IR offspring; however, the implication of cause and effect is unclear. Although a mechanism of demand-driven regulation of resting ATP flux is plausible, it is also feasible that protein synthesis may have been downregulated and/or ion homeostasis disrupted due to the decreased availability of ATP.
Interestingly, under resting conditions in which intracellular concentrations of both ADP and Pi are low, it has been suggested that the cellular redox potential (i.e., availability of NADH) may also exert respiratory control (79,80). Our observations of decreased Pi → ATP flux in the muscle of elderly and IR individuals may be a result of the decreased TCA cycle activity, which reduces the availability of NADH for oxidation by the electron transport chain.
A recent study by Lim et al. (30) has suggested that the decreased rates of muscle ATP turnover observed in type 2 diabetic subjects may be due to reduced rates of glucose uptake and glycogen synthesis. We do not believe that such effects are likely to play a significant role in our studies of the elderly or IR offspring because glucose disposal in resting muscle under fasting conditions will be very low and of insufficient magnitude to exert an effect on oxidative rates.
COMPARISON OF 31P-ST WITH OTHER METHODS FOR ESTIMATING IN VIVO MITOCHONDRIAL METABOLISM IN SKELETAL MUSCLE
As described above, we have implemented 31P-ST measurements of Pi → ATP flux in conjunction with 13C-MRS estimates of TCA cycle flux to assess muscle mitochondrial metabolism in vivo. Other groups have complemented their 31P-ST measurements with dynamic 31P-MRS to estimate muscle mitochondrial oxidative capacity from the kinetics of PCr repletion following a bout of exercise, a method that has been validated in humans and rat models (81). This functional estimate of oxidative capacity has been shown to correlate well with whole-body maximal oxygen consumption (Vo2max) and estimates of mitochondrial capacity, enzyme expression/content and respiratory function of isolated mitochondria, determined in vitro using biopsy samples (82–85). Muscle oxidative capacity determined by PCr recovery has been demonstrated to be reduced in type 2 diabetic patients (86,87), although this finding is not universal (88,89). Interestingly, in a rat model of mitochondrial dysfunction, induced by chronic inhibition of complex 1 of the electron transport chain, hindlimb muscle oxidative capacity determined by PCr recovery was significantly decreased, whereas resting Pi → ATP flux was unaffected (90). Similarly, in human subjects with a genetic defect in insulin-receptor signaling, oxidative capacity of the vastus lateralis was decreased versus healthy controls, whereas resting Pi → ATP in the calf muscle was unchanged (26). However, it is unclear whether valid comparisons of the methods can be made in this study because each technique was performed in different muscle compartments where the metabolic phenotype is likely to differ significantly. The disagreement between findings with PCr recovery and 31P ST in these studies has been used to query the ST method and whether it reflects oxidative activity in skeletal muscle. However, an alternate interpretation, which we support, is that the two measurements assess different aspects of mitochondrial function: total muscle oxidative capacity versus resting energy production, that are not necessarily proportional due to intracellular regulation of mitochondrial function.
Although the PCr recovery method seems to provide an excellent estimate of functional mitochondrial/oxidative capacity, several factors concerning the effective application of the method should be considered for those unfamiliar with the technique. The kinetics of PCr repletion following exercise are usually characterized by fitting the recovery to a monoexponential and assuming the postexercise ATP generation is entirely oxidative (91). However, bi- or multiexponential behavior has been observed in response to high-intensity exercise. This response may be a consequence of tissue heterogeneity or differences in fiber recruitment during exercise, although a contribution of glycolytic ATP production has also been suggested (92,93). Intracellular acidification, typically encountered during high-intensity exercise protocols, appears to slow the rate of PCr recovery potentially due to direct effects on mitochondrial respiration (94,95), the use of ATP for H+ pumping to restore pH (84,96), or via modulating the CK equilibrium (97–99). The pH dependence of PCr recovery rates may also reflect selective recruitment of muscle fibers for low- versus high-intensity contractions (100).
The rate of muscle PCr depletion monitored by 31P-MRS during limb ischemia induced by circulatory occlusion has also been used as an estimate of resting ATP use. A comparison of the 31P-MRS methods has been performed in the calf muscles by Schmid et al. (101), who observed correlations among muscle Pi → ATP flux, the decline in PCr induced by cuff ischemia, and the time constant of PCr recovery (τPCr) following exercise protocol during ischemia. The correlation among these parameters would seem to suggest that each reflects oxidative activity; however, we urge caution over the interpretation of these data due to methodological uncertainties in this study. Reservations include the lack of control over end-exercise pH, which, as described above, has been demonstrated to modulate the kinetics of PCr recovery, and the use of a plantar flexion exercise protocol in combination with a relatively large diameter coil for 31P signal detection. Plantar flexion involves preferential activation of the gastrocnemius muscle groups, which will exhibit enhanced PCr depletion compared with the soleus and influence the observed PCr recovery kinetics. In contrast, the region of interest for the Pi → ATP flux and ischemic PCr utilization measurements performed in resting muscle will correspond to a weighted average of the soleus and gastrocnemius muscle groups. The relative contribution of deeper lying muscle groups in this study will be particularly exacerbated by the relatively large-diameter coil (10 cm) used for 31P signal detection. The use of a smaller-diameter 31P coil would act as a rudimentary method of signal localization by confining signal detection to the superficial muscle groups and ensure that the sampled volume was equivalent for each 31P technique. Finally, we also have concerns over whether ischemic conditions are a valid metabolic environment in which to assess resting ATP turnover.
In vitro analyses of muscle biopsy samples may also offer additional insight into mitochondrial metabolism. Mitochondrial density, mitochondrial DNA copy number, the expression and content of mitochondrial proteins, as well as the respiratory function of isolated mitochondria or skinned muscle fibers provide a theoretical estimate of the maximal mitochondrial capacity and have been used as indirect markers of mitochondrial function. As mentioned above, the functional estimate of mitochondrial metabolism determined using the PCr recovery technique correlates with many of these theoretical estimates (82–85), reflecting that these methods are all biomarkers of mitochondrial capacity rather than resting or intermediate mitochondrial function. Taken together, these studies highlight that these techniques are likely measuring different aspects of mitochondrial metabolism, resting activity versus maximal capacity, and to more fully characterize the metabolic effects of an intervention or disease, multiple parameters of oxidative function, ideally a combination of resting function, maximal capacity, and the response to an intermediate metabolic demand, should be assessed.
Performing in vitro analyses of mitochondrial metabolism from muscle biopsy samples therefore enables an array of parameters to be assessed, and the experimental procedures involved are highly sensitive and can typically be accomplished in most laboratories. However, a number of caveats should be considered: the biopsy itself is an invasive measurement and is extracted from a small region of tissue that may not accurately represent the entire muscle. Repeated sampling, although feasible, will occur from slightly different regions of tissue that may not contain the same muscle fiber-type composition. The integrated network of metabolic processes that exist in vivo are no longer present, and assays usually provide an estimate of the theoretical maximal capacity without the limitations imposed by regulatory mechanisms, substrate availability, or product inhibition. Normalization of data can also be problematic because different internal reference standards (total protein content, total mitochondrial protein content, specific mitochondrial proteins) are often used. The MR methods described in this article offer the ability to estimate mitochondrial function in vivo, in which regulatory mechanisms remain intact and the same region of tissue can be sampled noninvasively and repeatedly, although this is obviously constrained by the availability of an MR system. The PCr recovery method is relatively straightforward to implement on many scanners and can yield estimates of functional muscle mitochondrial capacity, provided an appropriate contraction protocol is selected, particularly when studying populations that may have impaired muscle metabolism. The TCA cycle flux measurement using 13C-MRS to monitor the oxidation of 13C-labeled substrates is considerably more complex to implement and generally requires customized MR hardware/software as well as specialized metabolic modeling analyses. Additional constraints are provided by the length of the study (∼2 to 3 h within the scanner), which may be prohibitive for certain subjects, and the overall cost of the experiment due to the need for 13C-labeled substrates, extensive MR system time, and personnel. However, this method probably provides the most accurate estimate of resting mitochondrial activity in vivo.
In conclusion, MT MRS techniques offer a unique ability to examine the unidirectional fluxes that contribute to metabolic exchange reactions. The Pi → ATP flux associated with the ATP synthesis/hydrolysis cycle is of particular interest because it is a key bioenergetic process supporting the energy demands of a tissue. Although the 31P-ST experiment measures all metabolic contributions to the Pi → ATP flux, including glycolytic ATP production and near-equilibrium exchange at the level of GAPDH/PGK and/or the mitochondrion, experiments in a variety of in vivo systems suggest that the flux does respond to perturbations in mitochondrial metabolism. Different experimental techniques to assess muscle metabolism in vivo (e.g. Pi → ATP flux by 31P-ST, oxidative capacity by PCr recovery using dynamic 31P-MRS, and substrate oxidation by dynamic 13C-MRS) likely assess different parameters of mitochondrial function. Therefore, to more fully characterize oxidative function in vivo, we recommend the use of complementary analytical techniques to obtain a multiparametric assessment of mitochondrial metabolism.
See accompanying review, Diabetes 2012;61:1927–1934.
This work was supported by grants from the U.S. Public Health Service (R01-DK-49230, R01-DK-40936, R24-DK-085638, U24-DK-059635, P30-DK-45735, and R01-AG-23686) and a Distinguished Clinical Scientist Award (to K.F.P.) from the American Diabetes Association.
No potential conflicts of interest relevant to this article were reported.
D.E.B., D.L.R., K.F.P., and G.I.S. contributed to the writing of this article. D.E.B. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.