Literature DB >> 21917633

Effects of raising muscle glycogen synthesis rate on skeletal muscle ATP turnover rate in type 2 diabetes.

Ee L Lim1, Kieren G Hollingsworth, Fiona E Smith, Peter E Thelwall, Roy Taylor.   

Abstract

Mitochondrial dysfunction has been implicated in the pathogenesis of type 2 diabetes. We hypothesized that any impairment in insulin-stimulated muscle ATP production could merely reflect the lower rates of muscle glucose uptake and glycogen synthesis, rather than cause it. If this is correct, muscle ATP turnover rates in type 2 diabetes could be increased if glycogen synthesis rates were normalized by the mass-action effect of hyperglycemia. Isoglycemic- and hyperglycemic-hyperinsulinemic clamps were performed on type 2 diabetic subjects and matched controls, with muscle ATP turnover and glycogen synthesis rates measured using (31)P- and (13)C-magnetic resonance spectroscopy, respectively. In diabetic subjects, hyperglycemia increased muscle glycogen synthesis rates to the level observed in controls at isoglycemia [from 19 ± 9 to 41 ± 12 μmol·l(-1)·min(-1) (P = 0.012) vs. 40 ± 7 μmol·l(-1)·min(-1) in controls]. This was accompanied by a modest increase in muscle ATP turnover rates (7.1 ± 0.5 vs. 8.6 ± 0.7 μmol·l(-1)·min(-1), P = 0.04). In controls, hyperglycemia brought about a 2.5-fold increase in glycogen synthesis rates (100 ± 24 vs. 40 ± 7 μmol·l(-1)·min(-1), P = 0.028) and a 23% increase in ATP turnover rates (8.1 ± 0.9 vs. 10.0 ± 0.9 μmol·l(-1)·min(-1), P = 0.025) from basal state. Muscle ATP turnover rates correlated positively with glycogen synthesis rates (r(s) = 0.46, P = 0.005). Changing the rate of muscle glucose metabolism in type 2 diabetic subjects alters demand for ATP synthesis at rest. In type 2 diabetes, skeletal muscle ATP turnover rates reflect the rate of glucose uptake and glycogen synthesis, rather than any primary mitochondrial defect.

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Year:  2011        PMID: 21917633      PMCID: PMC3233777          DOI: 10.1152/ajpendo.00278.2011

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


skeletal muscle mitochondrial dysfunction has been hypothesized to contribute to the development of insulin resistance and type 2 diabetes. Muscle biopsy studies of type 2 diabetic subjects have demonstrated smaller mitochondria and reduced activities of oxidative enzymes compared with glucose-tolerant subjects (13, 18). Magnetic resonance (MR) spectroscopy allows noninvasive measurement of a critical aspect of mitochondrial function by measuring rates of ATP synthesis (20). With use of this methodology, decreased ATP turnover rates have been reported in skeletal muscle of type 2 diabetic subjects and healthy subjects at risk of developing diabetes (i.e., insulin-resistant offspring of type 2 diabetic subjects) (31, 45). In young healthy individuals, insulin stimulated muscle ATP turnover rate, whereas no response was seen in the insulin-resistant offspring of type 2 diabetic subjects (32). Decreased expression of nuclear-encoded genes that regulate mitochondrial biogenesis, such as peroxisome proliferation-activated receptor-γ coactivator 1α, has also been reported in nondiabetic individuals with impaired glucose tolerance and in healthy first-degree relatives of type 2 diabetic subjects (27, 30). Short-term exercise training has been shown to increase insulin sensitivity and ATP synthesis in healthy humans, but not in first-degree relatives of type 2 diabetic subjects (17). These studies support the concept that abnormalities in oxidative metabolism contribute to the development of insulin resistance and, hence, type 2 diabetes (5, 29). However, a substantial number of recent studies in humans and rodents directly challenge the view that a preexisting defect in mitochondrial function is responsible for the development of insulin resistance. In obese humans, muscle biopsy studies have shown improvement in mitochondrial function after programs of weight loss and physical exercise (24). Similarly, improvement in insulin sensitivity through calorie restriction has been demonstrated in overweight and obese subjects in the absence of any measurable change in mitochondria DNA content and NADH-oxidase activity (46). In addition, several studies of genetically modified mice have failed to demonstrate a clear effect of alteration of mitochondrial function on insulin action (4, 12). In light of all the evidence presented, the reduced capacity of the mitochondria to produce ATP in muscle of type 2 diabetes could be secondary to the metabolic state itself and a feature of insulin resistance, rather than its cause (33, 44). Application of 13C-MR spectroscopy demonstrated that insulin-stimulated muscle glycogen synthesis was the major metabolic pathway of glucose disposal under postprandial conditions and that a defect in muscle glycogen synthesis was responsible for the decrease in insulin sensitivity in type 2 diabetes (42). Further study showed that a defect in muscle glucose transport was responsible for the decreased rate of insulin-stimulated glycogen synthesis in muscle of type 2 diabetic subjects (7). We therefore hypothesized that impairment in insulin-stimulated ATP turnover rates in muscle of type 2 diabetic subjects merely reflects the lower rates of muscle glucose uptake and glycogen synthesis, rather than causes it. Consequently, muscle ATP turnover rates would be expected to normalize if glycogen synthesis rates were normalized by an increase in plasma glucose concentration. To test this hypothesis, MR spectroscopy was used to quantify muscle ATP turnover rates and muscle glycogen synthesis rates during iso- and hyperglycemic hyperinsulinemia in type 2 diabetic and nondiabetic control subjects.

METHODS

Subjects

Ten well-controlled type 2 diabetic subjects (7 men and 3 women) and eight normoglycemic controls (6 men and 2 women) matched for sex, age, body mass index, and physical activity were studied. Their anthropometric and metabolic characteristics are summarized in Table 1. All subjects were recruited by means of advertisement. After a complete medical history was obtained from all subjects, clinical examination and laboratory tests were carried out to exclude hepatic and renal diseases. Diabetic subjects treated with insulin or any oral hypoglycemic medications, except metformin, were excluded. Subjects in the control group had no family history of diabetes, nor were they taking any medication (e.g., steroids, β-blockers, or diuretics) known to affect glucose tolerance or insulin sensitivity. Normal glucose metabolism was confirmed by a standard 75-g oral glucose tolerance test. None of the subjects performed moderate or intense exercise on a regular basis. Physical activity was assessed over 3 days using the Body Monitoring System and SenseWear Armband (BodyMedia, Pittsburgh, PA), which provides a measure of total daily energy expenditure and number of steps taken per day (25). The study protocol was approved by Newcastle upon Tyne Ethics Committee No. 2, and informed consent was obtained from all subjects.
Table 1.

Clinical characteristics of study subjects

T2DMControlP Value
Age, yr57 ± 253 ± 30.3
BMI, kg/m228.7 ± 1.228.1 ± 1.10.8
Fat mass, kg26.1 ± 2.026.4 ± 1.70.9
Fat-free mass, kg54.7 ± 3.858.5 ± 3.60.5
Fasting glucose, mmol/l7.7 ± 0.35.1 ± 0.10.001
Fasting insulin, pmol/l93 ± 1449 ± 60.026
HbA1c, %6.6 ± 0.25.4 ± 0.10.001
Fasting triglyceride, mmol/l1.6 ± 0.21.4 ± 0.20.5
Mean daily energy expenditure, kcal2,455 ± 1982,248 ± 760.4
Mean daily steps taken6,160 ± 3855,701 ± 2880.4

Values are means ± SE of 10 (7 men and 3 women) subjects with type 2 diabetes mellitus (T2DM) and 8 (6 men and 2 women) controls. BMI, body mass index.

Clinical characteristics of study subjects Values are means ± SE of 10 (7 men and 3 women) subjects with type 2 diabetes mellitus (T2DM) and 8 (6 men and 2 women) controls. BMI, body mass index.

Experimental Protocol

All subjects refrained from physical exertion during the 3 days preceding the studies and fasted overnight for 12 h before the experiments. Metformin was withdrawn 3 days before each experiment. Each subject underwent two experimental protocols, an isoglycemic-hyperinsulinemic clamp test and a hyperglycemic-hyperinsulinemic clamp test, completed 4–8 wk apart (Fig. 1). Isoglycemic, rather than euglycemic, clamps were used to allow observation of the true fasting state in each group. The subjects' body weights and lifestyles remained unchanged throughout the study. Data on the isoglycemic clamps have previously been reported as part of a study of effects of plasma free fatty acid (FFA) suppression (21). For all experiments, subjects travelled to the MR facility by taxi and were transported within the center by wheelchair. At 0830 (−270 min), one cannula was inserted into an antecubital vein for administration of glucose and insulin. A second cannula was inserted into the contralateral wrist vein for blood sampling. Use of a hand-warming device ensured arterialization of venous blood. To permit the frequent 31P- and 13C-MR spectroscopy measurements, subjects were studied lying in the MR scanner for the duration of each study.
Fig. 1.

Schematic representation of experimental protocol.

Schematic representation of experimental protocol.

Protocol A: isoglycemic-hyperinsulinemic clamp.

Isoglycemia was maintained to ensure that the true basal condition of each subject could be observed. Isoglycemic hyperinsulinemia was induced with the insulin-glucose clamp technique (9). Insulin (Actrapid, NovoNordisk, Bagsvaerd, Denmark) was administered as a primed-continuous infusion (40 mU·m−2·min−1) for 150 min. To inhibit pancreatic hormone secretion, somatostatin was infused at 0.06 μg·kg−1·min−1 (Somatostatin-UCB, UCB Pharma) from 5 min before the start of the insulin infusion and continued for the duration of the clamp. Fasting isoglycemia was maintained by a variable glucose infusion based on plasma glucose measurements performed at 5-min intervals. To increase sensitivity of measurement of the muscle glycogen synthesis by 13C-MR spectroscopy, the variable glucose infusion contained 20% [1-13C]glucose (Cambridge Isotope Laboratories, Andover, MA). Whole body insulin sensitivity was determined from calculated whole body glucose disposal during the last 30 min of the hyperinsulinemic glucose clamp (9). Whole body glucose disposal was calculated from glucose infusion rate (39). To assess rate of oxidation of infused glucose, breath samples for 13CO2 were obtained. As this measure would be affected by differences in plasma [13C]glucose enrichment, the index of whole body glucose oxidation was calculated as the ratio of breath to plasma 13C atom percent excess (APE): (breath APE/plasma APE) × 100.

Protocol B: hyperglycemic-hyperinsulinemic clamp.

A hyperglycemic-hyperinsulinemic clamp was performed on a separate day to examine the combined effect of insulin and glucose. The experimental protocol was the same as that described for protocol A, except plasma glucose was clamped at a stable level 5 mmol/l above fasting concentrations.

MR Spectroscopy

MR data were acquired using a 3-T Achieva scanner (Philips, Best, The Netherlands) with a built-in body coil used for imaging. A 14-cm-diameter surface coil was used for phosphorus spectroscopy, and a 6-cm-diameter 13C coil with an integral quad 1H decoupling coil (PulseTeq, Wotton under Edge, UK) was used for 13C spectroscopy. Subjects remained supine inside the MR spectrometer, with each coil positioned beneath the left calf during each investigation. The coil position was marked on the leg with indelible ink. Scout images were acquired to ensure identical coil positioning on repeat scans. To prevent movement during each study, the coil was secured in place using webbing straps around the calf. All spectra were analyzed with jMRUI (version 3.0) (28) using the AMARES fitting (advanced method for accurate, robust, and efficient spectral fitting) algorithm (48). 31P-MR spectroscopy was carried out as previously described (22). Briefly, a saturation transfer sequence was used to measure the transfer magnetization between γ-ATP and Pi (20). The steady-state magnetization of Pi was measured during selective irradiation of γ-ATP (Mz) and compared with the equilibrium Pi magnetization with the irradiation placed symmetrically downfield from the Pi frequency (Mo). The fractional reduction of Pi magnetization upon saturation of γ-ATP, (Mo − Mz)/Mo, was used to calculate the pseudo-first-order rate constant using the Forsen-Hoffman equation: k1 = [(Mo − Mz)/Mo](1/T1*) where T1* is the spin-lattice relaxation time for the phosphorus nucleus of Pi when ATP is saturated (10). Unidirectional turnover rate of ATP synthesis was then calculated by multiplying the constant k1 by the Pi concentration. 31P-MR spectroscopy measurements were acquired at baseline from −240 to −210 min and twice further during the clamp, from 15 to 45 min and from 90 to 120 min. For 13C-MR spectroscopy, spectra were acquired as previously described (21) at baseline from −205 to −185 min and twice further during the clamp, from 50 to 70 min and from 130 to 150 min. The concentration of muscle glycogen at baseline, [Glyc]muscle, was calculated using the following formula: [Glyc]muscle = (Smuscle × [Glyc]phantom)/Sphantom, where Sphantom and Smuscle are the signal intensities arising from glycogen in the phantom and muscle, respectively, and [Glyc]phantom is the concentration of glycogen in the phantom (100 mmol/l). The increments in muscle glycogen concentration at 70 and 150 min of the clamp, [ΔGlyc70] and [ΔGlyc150], respectively, were calculated from the equation previously reported (16): [ΔGlyc70] = {(S70 − S0) × [Glyc0] × f0}/(S0 × f70) and [ΔGlyc150] = {(S150 − S70) × [Glyc0] × f0}/(S0 × f150), where S0, S70, and S150 represent the signal intensity of [13C]glycogen at 0, 70, and 150 min, respectively, [Glyc0] is the basal glycogen concentration (in mmol/l), f0 is the natural abundance enrichment of [13C]glycogen at baseline (1.1%), and f70 and f150 represent the mean percent 13C enrichment of plasma glucose at 70 and 150 min, respectively. Each increment was then added to the previous concentration, and the slope was calculated by linear regression analysis to yield the rate of glycogen synthesis (42).

Breath 13C Enrichments

Breath samples for 13C enrichments were collected at five time points. The subjects were asked to exhale fully through a short straw into a glass tube (Exetainer, Laboco, Buckinghamshire, UK), which was immediately sealed with a stopper. 13C enrichments of breath samples were determined by continuous-flow isotope ratio mass spectrometry (ABCA system; PDZ Europa). The coefficient of variation for the analysis was 0.07%, and the coefficient of variation for the collection was 0.3%. All results of the 13C enrichment of expired air are expressed as APE.

Analytic Techniques

Plasma glucose concentration was measured by the glucose oxidase method with a glucose analyzer (Yellow Springs Instrument, Yellow Springs, OH). The 13C enrichment in plasma glucose was determined by gas chromatography-mass spectrometry of the pentaacetate derivatives of plasma glucose after deproteinization and deionization, as previously described (49). Plasma insulin concentration was determined using ELISA kits (Dako, Ely, UK). HbA1c was measured using high-performance liquid chromatography (TOSOH, Tokyo, Japan).

Statistical Analysis

Statistical analyses were performed using SPSS 15.0 software (SPSS, Chicago, IL). Values are means ± SE. Statistical comparisons between diabetic and control groups were performed using Student's t-test; within-group differences were determined using paired t-test where appropriate. Changes of sequential data within experiments were evaluated by repeated-measures ANOVA with Tukey's post hoc testing. Nonparametric correlations were tested by Spearman's rank test (rs). Statistical significance was accepted at P < 0.05.

RESULTS

Plasma Glucose and Insulin

The steady-state plasma glucose concentrations necessary to test the hypothesis were achieved. During the basal period, plasma glucose concentration decreased steadily in the diabetic group (from 7.7 ± 0.3 to 6.5 ± 0.3 mmol/l, P = 0.002) and remained steady in the control subjects (5.1 ± 0.1 vs. 5.0 ± 0.1 mmol/l, P = 0.186). After observation of the basal state, (−240 to 0 min), the clamp period was characterized by stable plasma glucose and plasma insulin concentrations in all studies (Fig. 2). During isoglycemia, plasma glucose concentration was clamped at the level observed by the end of the baseline period (6.6 ± 0.2 and 5.0 ± 0.1 mmol/l in diabetic and control subjects, respectively, P < 0.01). For the hyperglycemia protocol, plasma glucose concentration was clamped at 10.6 ± 0.2 and 13.0 ± 0.3 mmol/l for control and diabetic subjects, respectively (P < 0.01).
Fig. 2.

Time course of plasma glucose (A) and plasma insulin (B) concentrations during the 2 experimental conditions: isoglycemia in control (○) and diabetic (●) subjects and hyperglycemia in control (▵) and diabetic (▴) subjects. Values are means ± SE. *P < 0.01, control vs. diabetes.

Time course of plasma glucose (A) and plasma insulin (B) concentrations during the 2 experimental conditions: isoglycemia in control (○) and diabetic (●) subjects and hyperglycemia in control (▵) and diabetic (▴) subjects. Values are means ± SE. *P < 0.01, control vs. diabetes.

Glucose Disposal Rates

At isoglycemia, the glucose disposal rate was lower in the diabetic than the control group [4.8 ± 0.6 vs. 6.6 ± 0.5 mg·kgffm−1·min−1 (where kgffm is kilograms of fat-free mass), P = 0.04; Fig. 3]. During the hyperglycemic clamp in the diabetic group, the glucose disposal rate increased 1.6-fold compared with the isoglycemic clamp (7.7 ± 0.9 vs. 4.8 ± 0.6 mg·kgffm−1·min−1, P = 0.005). Hence, the glucose disposal rate became similar to that of the control subjects at isoglycemia (7.7 ± 0.9 vs. 6.6 ± 0.5 mg·kgffm−1·min−1, P = 0.573). During hyperglycemia in the control group, glucose disposal rate also increased 1.6-fold (10.5 ± 1.1 vs. 6.6 ± 0.5 mg·kgffm−1·min−1, P = 0.01).
Fig. 3.

Glucose disposal rate during the final 30 min (A), muscle glycogen synthesis rate between 70 and 150 min (B), and muscle ATP turnover rate between 90 and 120 min (C) in isoglycemic- and hyperglycemic-hyperinsulinemic clamps. Values are means ± SE. *P < 0.05. **P < 0.01.

Glucose disposal rate during the final 30 min (A), muscle glycogen synthesis rate between 70 and 150 min (B), and muscle ATP turnover rate between 90 and 120 min (C) in isoglycemic- and hyperglycemic-hyperinsulinemic clamps. Values are means ± SE. *P < 0.05. **P < 0.01.

Muscle Glycogen

Fasting muscle glycogen concentrations were similar on the isoglycemia and hyperglycemia clamp days (67.5 ± 4.5 and 67.0 ± 3.8 mmol/l, respectively, for diabetic subjects and 71.1 ± 2.6 and 72.3 ± 6.2 mmol/l, respectively, for controls). Glycogen synthesis rates were examined between 70 and 150 min of the clamp. At isoglycemia, rates were lower in the diabetic than the control group (19 ± 9 vs. 40 ± 7 μmol·l−1·min−1, P = 0.012; Fig. 3). The subnormal rate in the diabetic subjects at isoglycemia was increased 2.2-fold by hyperglycemia (from 19 ± 9 to 41 ± 12 μmol·l−1·min−1, P = 0.013), making the glycogen synthesis rate almost identical to that of the controls at isoglycemia (40 ± 7 μmol·l−1·min−1, P = 0.460; Fig. 3). In control subjects, the mean rate of muscle glycogen synthesis between 70 and 150 min was increased 2.5-fold by hyperglycemia compared with isoglycemia (100 ± 24 vs. 40 ± 7 μmol·l−1·min−1, P = 0.028). The absolute increment in glycogen concentration in the diabetic subjects during hyperglycemia was similar to that during isoglycemic clamp conditions in the control group (3.8 ± 1.3 vs. 3.8 ± 0.8 mmol/l, P = 0.515). In control subjects during hyperglycemia, the increment in glycogen concentration was threefold higher than during isoglycemia (11.1 ± 2.7 vs. 3.8 ± 0.8 mmol/l, P = 0.012).

Muscle ATP Turnover Rates

Muscle ATP turnover rates are shown in Table 2 and Fig. 3. Basal ATP turnover rates were similar in control and diabetic subjects. Muscle ATP turnover rates in control subjects remained unchanged during the isoglycemic-hyperinsulinemic clamps (8.6 ± 0.7 vs. 8.6 ± 1.3 μmol·g−1·min−1, P = 0.40). In diabetic subjects, during isoglycemia, muscle ATP turnover tended to decline (8.6 ± 0.8 vs. 7.1 ± 0.5 μmol·g−1·min−1, P = 0.09), whereas hyperglycemia prevented this decline in insulin-stimulated muscle ATP turnover rates (7.1 ± 0.5 and 8.6 ± 0.7 μmol·g−1·min−1 for isoglycemia and hyperglycemia, respectively, P = 0.04). In control subjects, during hyperglycemic-hyperinsulinemic clamps, insulin increased muscle ATP turnover rate by 23% (from 8.1 ± 0.9 to 10.0 ± 0.9 μmol·g−1·min−1, P = 0.025). Overall, muscle ATP turnover rates correlated positively with muscle glycogen synthesis rates (rs = 0.46, P = 0.005; Fig. 4).
Table 2.

Muscle ATP turnover rates

Muscle ATP Turnover Rates, μmol·g−1·min−1
Baseline15–45 min90–120 min
Isoglycemia clamps
    Control8.6 ± 0.79.3 ± 1.18.6 ± 1.3
    Diabetes8.6 ± 0.87.7 ± 0.77.1 ± 0.5
Hyperglycemia clamps
    Control8.1 ± 0.98.9 ± 0.710.0 ± 0.9*
    Diabetes8.7 ± 0.78.1 ± 0.68.6 ± 0.7

Values are means ± SE.

P < 0.05 vs. baseline.

Fig. 4.

Positive correlation between muscle glycogen synthesis rate between 70 and 150 min and muscle ATP turnover rate (rs = 0.46, P = 0.005).

Muscle ATP turnover rates Values are means ± SE. P < 0.05 vs. baseline. Positive correlation between muscle glycogen synthesis rate between 70 and 150 min and muscle ATP turnover rate (rs = 0.46, P = 0.005).

Plasma and Breath 13C Enrichments

Plasma enrichment of [13C]glucose increased steadily during the [1-13C]glucose infusion in all the clamps. In diabetic and control groups, the 13C APE in expired breath increased steadily during isoglycemia: from 0.14 ± 0.01 to 0.36 ± 0.07 (P < 0.01) and from 0.23 ± 0.04 to 0.44 ± 0.05 from 90 to 150 min in diabetic and control subjects, respectively. The same pattern was observed during hyperglycemia: from 0.28 ± 0.02 to 0.50 ± 0.03 and from 0.44 ± 0.07 to 0.72 ± 0.08, respectively (P = 0.003). To compare rates of glucose oxidation corrected for plasma glucose enrichment, the ratio of breath to plasma 13C APE was examined. This index of whole body glucose oxidation rate was higher during the hyperglycemia than the isoglycemia study in diabetic (2.53 ± 0.17 vs. 3.32 ± 0.21, P = 0.001) and control (2.87 ± 0.24 vs. 5.06 ± 0.84, P = 0.008) subjects.

DISCUSSION

The study design was successful in using acute hyperglycemia to increase the rate of glycogen synthesis in muscle of type 2 diabetic subjects to that of the nondiabetic control group at isoglycemic hyperinsulinemia. Hyperglycemia increased muscle glycogen synthesis rate by 2.2-fold in the diabetic subjects and by 2.5-fold in the control subjects, with a simultaneous increase in muscle ATP turnover rates (1.2-fold for both). Muscle ATP turnover rates were positively correlated with muscle glycogen synthesis rates. Hyperglycemic clamp studies have previously demonstrated that acute hyperglycemia, by the mass-action effect of glucose, can stimulate oxidative and nonoxidative glucose disposal (51, 52). Vaag and colleagues (47) showed that fasting and insulin-stimulated glucose oxidation, glucose storage, and muscle glycogen synthase activation were fully normalized during hyperglycemia in type 2 diabetic subjects. Rate of insulin-stimulated glucose disposal in type 2 diabetic subjects was 57% greater during hyperglycemia than euglycemia, and the major part (89%) of the increase in glucose metabolism during hyperglycemia was due to an increase in nonoxidative glucose metabolism (11). In type 2 diabetes, intramyocellular glucose levels are similar to control values, and insulin brings about a lesser rise in glucose 6-phosphate (7). The present results suggest that muscle ATP turnover rate reflects the metabolic state, rather than a primary defect of type 2 diabetes. Other recent studies support this interpretation. A high-fat diet decreased ATP turnover rate in muscle in rodents (19). Raising FFA levels in young healthy individuals for >6 h decreased insulin-stimulated muscle ATP production (3). Prolonged fasting for ∼60 h in humans lowered insulin-stimulated glucose uptake in association with elevated plasma FFA and overall reduction in intrinsic mitochondrial functional capacity of skeletal muscle (14). Despite early reports of studies showing an association between mitochondrial dysfunction and insulin resistance in type 2 diabetic subjects, there are increasing instances of discordance between the two. ATP turnover rates did not relate to insulin resistance in offspring of mothers with type 2 diabetes (35). Improvement in insulin sensitivity through calorie restriction (46) or pharmacological agents such as thiazolidinedione (41) in insulin-resistant states and type 2 diabetic subjects has been observed without accompanying changes in mitochondrial function in muscle. With use of postexercise phosphocreatine resynthesis rate as an alternative measure of mitochondrial function, rosiglitazone and pioglitazone were found to have opposite effects on mitochondrial function, although both improved insulin sensitivity (36). With use of the same technique, no defect was detectable in early- or late-stage type 2 diabetes compared with exercise-matched normoglycemic controls (1, 8). This is in contrast to other studies that have reported reduced phosphocreatine recovery in type 2 diabetic subjects compared with matched controls (23, 34, 40). First-degree relatives of type 2 diabetes subjects showed ex vivo decreased mitochondrial capacity, and it has been suggested that gradual changes in mitochondria may occur (34). The importance of matching for physical activity must be noted, as lower muscle ATP turnover rates have been reported in studies comparing type 2 diabetic subjects with non-activity-matched controls (31). It should also be noted that different exercise protocols used in the phosphocreatine recovery method may account for the differences (8). Furthermore, the observation by Schrauwen-Hinderling and co-workers that muscle ATP turnover rates are inversely proportional to fasting blood glucose is critical, in that abnormal ATP turnover cannot be an early feature explaining the onset of the condition (34, 40). Ex vivo studies of mitochondria have also shown discordance between mitochondrial function and insulin sensitivity in offspring of mothers with type 2 diabetes (15). Kelley et al. (18) reported smaller mitochondria and increased numbers of damaged mitochondria in obese and type 2 diabetic subjects. In addition, mitochondrial surface area was positively correlated with insulin-stimulated glucose disposal (18). Subsarcolemmal mitochondria content has been found to be lower in type 2 diabetes, although this could possibly be due to decreased levels of physical activity of the subjects (38). On the other hand, intramyofibrillar mitochondrial content has been observed not to differ between type 2 diabetic and weight-matched control subjects, even though it was lower than in lean insulin-sensitive controls (6). Although the present data relate to observations during established type 2 diabetes, overall, the concept of mitochondrial dysfunction as a primary abnormality in type 2 diabetes is not well supported. In vivo skeletal muscle ATP turnover rate has typically been observed over considerably longer periods of time to achieve a summed single measurement (3, 45). The time period over which ATP turnover rate is measured is important. Brehm and colleagues (2) did not observe a change in muscle ATP turnover rate in vivo during 3 h of elevated FFA levels, despite a marked reduction in whole body glucose disposal. They only observed a decrease in insulin-stimulated ATP turnover rate when FFA levels were elevated for >4 h (3). In the present study, the time resolution of the technique allowed acquisition of data over 30-min periods. This revealed a gradual fall in ATP turnover rate in muscle of type 2 diabetic subjects during the isoglycemia study. Although the reasons for this cannot be determined from the present study, we postulate that the downward trend occurred as a consequence of prolonged fasting (∼15 h) and a decrease in blood glucose concentration during the basal period of the study protocol (6.7 ± 0.3 to 5.8 ± 0.3 mmol/l) and that increased intracellular mobilization of fatty acid from intramyocellular lipid could possibly have suppressed muscle ATP turnover rates. During hyperglycemia, this fall in muscle ATP turnover rates in the diabetic subjects was prevented. In a related study on the same subjects, we previously showed that suppression of FFA levels over ∼6 h brought about an increase in ATP turnover rate in muscle of type 2 diabetic subjects (21). This further emphasizes that muscle ATP turnover rate is dependent on intracellular substrate supply and that ATP turnover rates are not limited by the presence of type 2 diabetes but respond to metabolic conditions. Previous work suggested that acute elevation of insulin to postprandial levels would increase muscle ATP turnover rate in healthy normoglycemic controls, but not diabetic subjects (31, 32, 45). As such, the present study protocol was designed with this expectation. However, when no effect of physiological hyperinsulinemia on muscle ATP turnover rate was observed in the initial control subjects in this experiment, we conducted a substudy on a group of young healthy subjects to investigate the relationship between insulin's activation of glucose metabolism and muscle ATP turnover rate over a 150-min time frame (22). As we were able to measure ATP turnover rate over 30-min periods, we were able to track the time course of muscle ATP turnover rate during the onset of insulin action. We observed the greatest increase in glucose metabolism during the first 45 min of the euglycemic hyperinsulinemia, whereas there was no concurrent change in muscle ATP turnover rate. In the cohort of young, insulin-sensitive subjects, muscle ATP turnover rate increased 8% above basal values after 2 h of insulin stimulation. This is in contrast to findings of an 11–90% increase in muscle ATP turnover rate with insulin in the literature (3, 32, 45). The latter studies used measurements of muscle ATP turnover rate averaged over 120–350 min of insulin stimulation and made the assumption that an insulin-stimulated increase in muscle ATP turnover rate was responsible for the changes in glucose metabolism. The acute metabolic effect of insulin does not appear to depend on any measurable increase in muscle ATP turnover rate. It is likely that processes other than insulin's effect on glucose metabolism, such as on mitochondrial fusion and proliferation (26, 50) or mitochondrial protein synthesis (43), may affect muscle ATP turnover rate on a time scale of several hours of insulin stimulation. These processes are not directly related to the early effects of insulin on glucose metabolism. There is considerable variation among ATP turnover rates at different glycogen synthesis rates during iso- and hyperglycemia (Fig. 4). The reason for this is unclear, as is the proportion of ATP utilization related to glycogen synthesis. Bajpeyi et al. (1) also reported a broad range of maximal ATP synthetic rates, determined from the rate of phosphocreatine recovery, within type 2 diabetes subjects: 52% of the diabetic subjects had maximum ATP synthesis rates that were within the range observed in healthy sedentary controls and 24% had maximum ATP synthesis rates that overlapped with those of the active control group. Glucose infusion rate is a useful measure of overall glucose disposal but does not take into account the possibility of incomplete suppression of hepatic glucose production during the clamp, especially among the diabetic subjects. An estimate of endogenous glucose production can be obtained from the measured isotopic enrichments of infusate and plasma together with glucose infusion rate (37). Hepatic glucose production was 0.01 ± 0.28 and 1.13 ± 0.18 mg·kgffm−1·min−1 in control and diabetic subjects, respectively, during the isoglycemic-hyperinsulinemic clamps and 0.04 ± 0.30 and −0.17 ± 0.32 mg·kgffm−1·min−1 in control and diabetic subjects, respectively, during the hyperglycemic-hyperinsulinemic clamps. By addition of this value to the glucose infusion rate, total glucose disposal rates can be estimated to be 6.58 ± 0.28 (control/isoglycemia), 5.94 ± 0.62 (diabetes/isoglycemia), 10.57 ± 1.34 (control/hyperglycemia), and 7.54 ± 0.67 (diabetes/hyperglycemia) mg·kgffm−1·min−1. Hence, consideration of glucose endogenous production does not change the interpretation of the primary results. The present data demonstrate that normalization of the rate of glycogen synthesis by hyperglycemia is associated with an increase in muscle ATP turnover rate in type 2 diabetes. Therefore, muscle ATP turnover rates reflect prevailing substrate availability, and defects in mitochondrial function are unlikely to underlie and initiate the metabolic abnormalities of type 2 diabetes.

GRANTS

This work was funded by Wellcome Trust Grant 073561 and the Newcastle upon Tyne Medical Research Council Biomedical Research Centre.

DISCLOSURES

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

AUTHOR CONTRIBUTIONS

E.L.L. and R.T. are responsible for conception and design of the research; E.L.L. performed the experiments; E.L.L., K.G.H., and F.E.S. analyzed the data; E.L.L., K.G.H., and R.T. interpreted the results of the experiments; E.L.L. prepared the figures; E.L.L. drafted the manuscript; E.L.L., K.G.H., F.E.S., P.E.T., and R.T. edited and revised the manuscript; E.L.L. and R.T. approved the final version of the manuscript.
  51 in total

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Authors:  H Yki-Järvinen; A A Young; C Lamkin; J E Foley
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2.  Quantitation of muscle glycogen synthesis in normal subjects and subjects with non-insulin-dependent diabetes by 13C nuclear magnetic resonance spectroscopy.

Authors:  G I Shulman; D L Rothman; T Jue; P Stein; R A DeFronzo; R G Shulman
Journal:  N Engl J Med       Date:  1990-01-25       Impact factor: 91.245

3.  Direct observation of glycogen synthesis in human muscle with 13C NMR.

Authors:  T Jue; D L Rothman; G I Shulman; B A Tavitian; R A DeFronzo; R G Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  1989-06       Impact factor: 11.205

Review 4.  Acute and chronic effects of hyperglycaemia on glucose metabolism.

Authors:  H Yki-Järvinen
Journal:  Diabetologia       Date:  1990-10       Impact factor: 10.122

5.  Effect of triiodothyronine on mitochondrial energy coupling in human skeletal muscle.

Authors:  V Lebon; S Dufour; K F Petersen; J Ren; B M Jucker; L A Slezak; G W Cline; D L Rothman; G I Shulman
Journal:  J Clin Invest       Date:  2001-09       Impact factor: 14.808

6.  Nine days of intensive exercise training improves mitochondrial function but not insulin action in adult offspring of mothers with type 2 diabetes.

Authors:  Brian A Irving; Kevin R Short; K Sreekumaran Nair; Craig S Stump
Journal:  J Clin Endocrinol Metab       Date:  2011-04-20       Impact factor: 5.958

7.  Hyperglycaemia compensates for the defects in insulin-mediated glucose metabolism and in the activation of glycogen synthase in the skeletal muscle of patients with type 2 (non-insulin-dependent) diabetes mellitus.

Authors:  A Vaag; P Damsbo; O Hother-Nielsen; H Beck-Nielsen
Journal:  Diabetologia       Date:  1992-01       Impact factor: 10.122

8.  PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes.

Authors:  Vamsi K Mootha; Cecilia M Lindgren; Karl-Fredrik Eriksson; Aravind Subramanian; Smita Sihag; Joseph Lehar; Pere Puigserver; Emma Carlsson; Martin Ridderstråle; Esa Laurila; Nicholas Houstis; Mark J Daly; Nick Patterson; Jill P Mesirov; Todd R Golub; Pablo Tamayo; Bruce Spiegelman; Eric S Lander; Joel N Hirschhorn; David Altshuler; Leif C Groop
Journal:  Nat Genet       Date:  2003-07       Impact factor: 38.330

9.  Effect of insulin on human skeletal muscle mitochondrial ATP production, protein synthesis, and mRNA transcripts.

Authors:  Craig S Stump; Kevin R Short; Maureen L Bigelow; Jill M Schimke; K Sreekumaran Nair
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-13       Impact factor: 11.205

10.  Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1.

Authors:  Mary Elizabeth Patti; Atul J Butte; Sarah Crunkhorn; Kenneth Cusi; Rachele Berria; Sangeeta Kashyap; Yoshinori Miyazaki; Isaac Kohane; Maura Costello; Robert Saccone; Edwin J Landaker; Allison B Goldfine; Edward Mun; Ralph DeFronzo; Jean Finlayson; C Ronald Kahn; Lawrence J Mandarino
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-27       Impact factor: 12.779

View more
  6 in total

1.  High-intensity interval training increases in vivo oxidative capacity with no effect on P(i)→ATP rate in resting human muscle.

Authors:  Ryan G Larsen; Douglas E Befroy; Jane A Kent-Braun
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2012-12-19       Impact factor: 3.619

Review 2.  What do magnetic resonance-based measurements of Pi→ATP flux tell us about skeletal muscle metabolism?

Authors:  Graham J Kemp; Kevin M Brindle
Journal:  Diabetes       Date:  2012-08       Impact factor: 9.461

3.  Insulin resistance and type 2 diabetes.

Authors:  Roy Taylor
Journal:  Diabetes       Date:  2012-04       Impact factor: 9.461

4.  Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI.

Authors:  Gustav J Strijkers; Ericky C A Araujo; Noura Azzabou; David Bendahan; Andrew Blamire; Jedrek Burakiewicz; Pierre G Carlier; Bruce Damon; Xeni Deligianni; Martijn Froeling; Arend Heerschap; Kieren G Hollingsworth; Melissa T Hooijmans; Dimitrios C Karampinos; George Loudos; Guillaume Madelin; Benjamin Marty; Armin M Nagel; Aart J Nederveen; Jules L Nelissen; Francesco Santini; Olivier Scheidegger; Fritz Schick; Christopher Sinclair; Ralph Sinkus; Paulo L de Sousa; Volker Straub; Glenn Walter; Hermien E Kan
Journal:  J Neuromuscul Dis       Date:  2019

Review 5.  ³¹P-magnetization transfer magnetic resonance spectroscopy measurements of in vivo metabolism.

Authors:  Douglas E Befroy; Douglas L Rothman; Kitt Falk Petersen; Gerald I Shulman
Journal:  Diabetes       Date:  2012-11       Impact factor: 9.461

Review 6.  Methods for assessing mitochondrial function in diabetes.

Authors:  Christopher G R Perry; Daniel A Kane; Ian R Lanza; P Darrell Neufer
Journal:  Diabetes       Date:  2013-04       Impact factor: 9.461

  6 in total

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