Irving, Brian A.

The effects of different modes of exercise on mixed muscle protein synthesis (MMPS) in young (Y) and older (O) adults are not fully understood. We determined the effects of ET, RT, and CT on MMPS in 33Y (25±1y) and 31O (70±1y) adults who were randomized to one of three 8wk interventions: (i) Control: no exercise, (ii) ET: cycling 1h @ 65% VO 2 peak, 5x/wk, (iii) RT: RT 4x/wk. After completing the control period, the controls completed an 8wk (iv) CT program (ET & RT). Subjects were studied at baseline and 48h following the last training bout. [ 13 C 6 ]Phe was infused for 8h, with serial v. lateralis biopsies. Isotopic enrichments (IE) were measured by LC/MS for free Phe from tissue fluid (TF) and from that incorporated into MMP. MMPS (%/h) = (ΔIE MMP )/(IE TF )/t*100. A rank sum test was used to test baseline differences between Y and O. 2‐way ANCOVA was used to test for differences between groups by treatment, with baseline values serving as the covariate. MMPS (%/h) tended to be higher in Y (0.060±0.003) compared to O (0.053±0.003) (P=0.06). ET [57%, P<0.0001], RT [21%, P=0.042] and CT [42%, P<0.0001] increased MMPS independently of age (P>0.4). The ET‐induced increase in MMPS was greater than the RT‐induced increase (P<0.05), although ET unlike RT does not increase muscle mass suggesting that muscle protein turnover was increased. In conclusion, ET, RT and CT were effective at increasing MMPS independently of age. R01AG09531, KL2RR024151

Caloric restriction (CR) improves insulin sensitivity and reduces the incidence of diabetes in obese individuals. The underlying mechanisms whereby CR improves insulin sensitivity are not clear. We evaluated the effect of 16 weeks of CR on whole-body insulin sensitivity by pancreatic clamp before and after CR in 11 obese participants (BMI = 35 kg/m2) compared with 9 matched control subjects (BMI = 34 kg/m2). Compared with the control subjects, CR increased the glucose infusion rate needed to maintain euglycemia during hyperinsulinemia, indicating enhancement of peripheral insulin sensitivity. This improvement in insulin sensitivity was not accompanied by changes in skeletal muscle mitochondrial oxidative capacity or oxidant emissions, nor were there changes in skeletal muscle ceramide, diacylglycerol, or amino acid metabolite levels. However, CR lowered insulin-stimulated thioredoxin-interacting protein (TXNIP) levels and enhanced nonoxidative glucose disposal. These results support a role for TXNIP in mediating the improvement in peripheral insulin sensitivity after CR.

The notion that mitochondria contribute to obesity-induced insulin resistance is highly debated. Therefore, we determined whether obese (BMI 33 kg/m2), insulin-resistant women with polycystic ovary syndrome had aberrant skeletal muscle mitochondrial physiology compared with lean, insulin-sensitive women (BMI 23 kg/m2). Maximal whole-body and mitochondrial oxygen consumption were not different between obese and lean women. However, obese women exhibited lower mitochondrial coupling and phosphorylation efficiency and elevated mitochondrial H2O2 (mtH2O2) emissions compared with lean women. We further evaluated the impact of 12 weeks of aerobic exercise on obesity-related impairments in insulin sensitivity and mitochondrial energetics in the fasted state and after a high-fat mixed meal. Exercise training reversed obesity-related mitochondrial derangements as evidenced by enhanced mitochondrial bioenergetics efficiency and decreased mtH2O2 production. A concomitant increase in catalase antioxidant activity and decreased DNA oxidative damage indicate improved cellular redox status and a potential mechanism contributing to improved insulin sensitivity. mtH2O2 emissions were refractory to a high-fat meal at baseline, but after exercise, mtH2O2 emissions increased after the meal, which resembles previous findings in lean individuals. We demonstrate that obese women exhibit impaired mitochondrial bioenergetics in the form of decreased efficiency and impaired mtH2O2 emissions, while exercise effectively restores mitochondrial physiology toward that of lean, insulin-sensitive individuals.

Context: Skeletal muscle from sedentary older adults exhibits reduced mitochondrial abundance and oxidative capacity. Objective: The primary objective was to determine whether 8 weeks of combined training (CT) has a more robust effect than endurance training (ET) or resistance training (RT) on mitochondrial physiology in healthy young (18–30 years) and older (≥65 years) adults. Intervention: Thirty-four young and 31 older adults were randomly assigned to 8 weeks of ET, RT, and control/CT. Control subjects completed 8 weeks of no exercise (control) followed by 8 weeks of CT. Body composition, skeletal muscle strength, and peak oxygen uptake were measured before and after the intervention. Vastus lateralis muscle biopsy samples were obtained before and 48 hours after the intervention. Mitochondrial physiology was evaluated by high-resolution respirometry and expression of mitochondrial proteins and transcription factors by quantitative PCR and immunoblotting. Results: ET and CT significantly increased oxidative capacity and expression of mitochondrial proteins and transcription factors. All training modalities improved body composition, cardiorespiratory fitness, and skeletal muscle strength. CT induced the most robust improvements in mitochondria-related outcomes and physical characteristics despite lower training volumes for the ET and RT components. Importantly, most of the adaptations to training occurred independent of age. Conclusion: Collectively, these results demonstrate that both ET and CT increase muscle mitochondrial abundance and capacity although CT induced the most robust improvements in the outcomes measured. In conclusion, CT provides a robust exercise regimen to improve muscle mitochondrial outcomes and physical characteristics independent of age.

Spillover of lipoprotein lipase-generated fatty acids from chylomicrons into the plasma free fatty acid (FFA) pool is an important source of FFA and reflects inefficiency in dietary fat storage. We measured spillover in 13 people with type 2 diabetes using infusions of a [3H]triolein-labeled lipid emulsion and [U-13C]oleate during continuous feeding, before and after weight loss. Body fat was measured with dual energy X-ray absorptiometry and computed tomography. Participants lost ∼14% of body weight. There was an ∼38% decrease in meal-suppressed FFA concentration (P &lt; 0.0001) and an ∼23% decrease in oleate flux (P = 0.007). Fractional spillover did not change (P = NS). At baseline, there was a strong negative correlation between spillover and leg fat (r = −0.79, P = 0.001) and a positive correlation with the trunk-to-leg fat ratio (R = 0.56, P = 0.047). These correlations disappeared after weight loss. Baseline leg fat (R = −0.61, P = 0.027) but not trunk fat (R = −0.27, P = 0.38) negatively predicted decreases in spillover with weight loss. These results indicate that spillover, a measure of inefficiency in dietary fat storage, is inversely associated with lower body fat in type 2 diabetes.

AbstractContext:Insulin resistance has been reported to be associated with development of atherogenic dyslipidemia. However, the confounding effects that obesity and low levels of cardiorespiratory fitness have on the relationship between insulin resistance and the development of atherogenic dyslipidemia remain to be adequately addressed.Objective:This study sought to examine the independent and combined effects of insulin sensitivity, body composition, and cardiorespiratory fitness on lipoprotein particle sizes and concentrations.Methods:Eight-four healthy, nondiabetic men (n = 43) and women (n = 41) were studied. The participants had a wide range of ages (18–30 and 65–80 yr), body composition (7.2–52.8% fat), and cardiorespiratory fitness (VO2 peak, 13.5–66.2 ml/kg·min). Body composition, cardiorespiratory fitness, insulin sensitivity, and lipoprotein particle profiles were assessed using dual-energy x-ray absorptiometry, cardiopulmonary exercise testing, a hyperinsulinemic-euglycemic clamp, and nuclear magnetic resonance spectroscopy, respectively.Results:Low levels of insulin sensitivity and cardiorespiratory fitness and higher levels of adiposity were associated with the accumulation of small, dense, low-density lipoprotein particles; small high-density lipoprotein particles; triglycerides; and very low-density lipoprotein particles. Multivariate forward-stepwise regression revealed that higher levels of adiposity, in particular truncal fat, were the strongest predictor of the lipoprotein particle size and concentration data, followed by insulin sensitivity.Conclusions:As expected, the accumulation of atherogenic lipoprotein particles (e.g. small, dense, low-density lipoprotein particles and small, high-density lipoprotein particles) was associated with low levels of insulin sensitivity, cardiorespiratory fitness, and higher levels of adiposity. However, multivariate forward-stepwise regression revealed that triglycerides, followed by truncal fat mass, were the strongest predictors of the lipoprotein particle size and concentration data.

Insulin resistance is highly prevalent in Asian Indians and contributes to worldwide public health problems, including diabetes and related disorders. Surrogate measurements of insulin sensitivity/resistance are used frequently to study Asian Indians, but these are not formally validated in this population. In this study, we compared the ability of simple surrogate indices to accurately predict insulin sensitivity as determined by the reference glucose clamp method. In this cross-sectional study of Asian-Indian men ( n = 70), we used a calibration model to assess the ability of simple surrogate indices for insulin sensitivity [quantitative insulin sensitivity check index (QUICKI), homeostasis model assessment (HOMA2-IR), fasting insulin-to-glucose ratio (FIGR), and fasting insulin (FI)] to predict an insulin sensitivity index derived from the reference glucose clamp method (SIClamp). Predictive accuracy was assessed by both root mean squared error (RMSE) of prediction as well as leave-one-out cross-validation-type RMSE of prediction (CVPE). QUICKI, FIGR, and FI, but not HOMA2-IR, had modest linear correlations with SIClamp(QUICKI: r = 0.36; FIGR: r = −0.36; FI: r = −0.27; P < 0.05). No significant differences were noted among CVPE or RMSE from any of the surrogate indices when compared with QUICKI. Surrogate measurements of insulin sensitivity/resistance such as QUICKI, FIGR, and FI are easily obtainable in large clinical studies, but these may only be useful as secondary outcome measurements in assessing insulin sensitivity/resistance in clinical studies of Asian Indians.