Leptin and leptin receptor genetic variants associate with habitual physical activity and the arm body composition response to resistance training.

PURPOSE: We investigated the influence of Leptin (LEP) and leptin receptor (LEPR) SNPs on habitual physical activity (PA) and body composition response to a unilateral, upper body resistance training (RT) program. METHODS: European-derived American volunteers (men=111, women=131, 23.4 ± 5.4 yr, 24.4 ± 4.6 kg·m(-2)) were genotyped for LEP 19 G>A (rs2167270), and LEPR 326 A>G (rs1137100), 668 A>G (rs1137101), 3057 G>A (rs1805096), and 1968 G>C (rs8179183). They completed the Paffenbarger PA Questionnaire. Arm muscle and subcutaneous fat volumes were measured before and after 12 wk of supervised RT with MRI. Multivariate and repeated measures ANCOVA tested differences among phenotypes by genotype and gender with age and body mass index as covariates. RESULTS: Adults with the LEP 19 GG genotype reported more kcal/wk in vigorous intensity PA (1273.3 ± 176.8, p=0.017) and sports/recreation (1922.8 ± 226.0, p<0.04) than A allele carriers (718.0 ± 147.2, 1328.6 ± 188.2, respectively). Those with the LEP 19 GG genotype spent more h/wk in light intensity PA (39.7 ± 1.6) than A allele carriers (35.0 ± 1.4, p=0.03). In response to RT, adults with the LEPR 668 G allele gained greater arm muscle volume (67,687.05 ± 3186.7 vs. 52,321.87 ± 5125.05 mm(3), p=0.01) and subcutaneous fat volume (10,599.89 ± 3683.57 vs. -5224.73 ± 5923.98 mm(3), p=0.02) than adults with the LEPR 668 AA genotype, respectively. CONCLUSION: LEP19 G>A and LEPR 668 A>G associated with habitual PA and the body composition response to RT. These LEP and LEPR SNPs are located in coding exons likely influencing LEP and LEPR function. Further investigation is needed to confirm our findings and establish mechanisms for LEP and LEPR genotype and PA and body composition associations we observed.

Adiposity attenuates muscle quality and the adaptive response to resistance exercise in non-obese, healthy adults.

BACKGROUND: Emerging data have revealed a negative association between adiposity and muscle quality (MQ). There is a lack of research to examine this interaction among young, healthy individuals, and to evaluate the contribution of adiposity to adaptation after resistance exercise (RE). OBJECTIVE: The purpose of this investigation was to examine the influence of subcutaneous adipose tissue (SAT) on muscle function among non-obese individuals before and after RE. DESIGN: Analyses included 634 non-obese (body mass index <30 kg m(-2)) subjects (253 males, 381 females; age=23.3 ± 5.2 years). SAT and muscle mass (magnetic resonance imaging-derived SAT and biceps muscle volume), isometric and dynamic biceps strength, and MQ (strength/muscle volume), were analyzed at baseline and after 12 weeks of unilateral RE. RESULTS: At baseline, SAT was independently associated with lower MQ for males (ß=-0.55; P<0.01) and females (ß=-0.45; P<0.01), controlling for body mass and age. Adaptation to RE revealed a significant negative association between SAT and changes for strength capacity (ß=-0.13; p=0.03) and MQ (ß=-0.14; P<0.01) among males. No attenuation was identified among females. Post-intervention SAT remained a negative predictor of MQ for males and females (ß=-0.47; P<0.01). CONCLUSIONS: The findings reveal that SAT is a negative predictor of MQ among non-obese, healthy adults, and that after 12 weeks of progressive RE this association was not ameliorated. Data suggest that SAT exerts a weak, negative influence on the adaptive response to strength and MQ among males.

A comparison of leg-to-leg bioelectrical impedance and skinfolds in assessing body fat in collegiate wrestlers.

A comparison of the leg-to-leg bioelectrical impedance (BIA) system and skinfold analysis in estimating % body fat in a large number of National Collegiate Athletic Association (NCAA) collegiate wrestlers was conducted. A series of 5 cross-sectional assessments, including the NCAA Division I and III Championships, were completed throughout the 1998-1999 wrestling season with samples ranging from (N = 90-274). Body density was determined from the 3 skinfold measures using the Lohman prediction equation. BIA measurements were determined using the Tanita body fat analyzer, model 305. Significant correlations between methods ranging from (r = 0.67-0.83, p < 0.001) and low standard error of estimates (SEE) for % body fat ranging from 2.1-3.5% were found throughout the 5 assessment periods. This preliminary study demonstrated that the leg-to-leg bioelectrical impedance system accurately estimated % body fat when compared to skinfolds in a diverse collegiate wrestling population.

Comparison of exercise and normal variability on HDL cholesterol concentrations and lipolytic activity.

In order to compare the influence of a single bout of exercise on HDL-C metabolism with normal variability, 12 male runners (mean age: 24.9 +/- 4 yr) who ran 15-30 miles per week underwent exercise (E) and control (C) experimental conditions. During the E trial subjects ran on a motor driven treadmill at 75% (42.5 +/- 4.7 ml.kg-1.min-1) VO2max until 800 Kcals were expended. The C trial consisted of no exercise. Subjects were instructed to follow the same diet and keep a four d food diary during each experimental condition. Fasted blood samples were obtained at the same time of day in each condition at time points corresponding to 24 h pre-exercise (24 PRE), 6 h post- (6 h) and 24 h post-exercise (24 h). Plasma was analyzed for HDL-C, HDL2-C and HDL3-C (mg.dl-1). In addition post-heparin plasma samples were analyzed for lipoprotein lipase (LPL) and hepatic lipase (HL) activity (mumol.FFA-1.ml-1). All values were adjusted for changes in plasma volume and compared to Baseline. HDL-C levels were unaltered following the C trial. However, following the E trial, HDL-C increased (p < 0.01) above baseline values at 24 h. The increase in HDL-C was reflected in the HDL3-C subfraction (p < 0.05). Analysis of lipolytic activity revealed an overall greater LPL activity (p < 0.05) in the E trial vs the C trial. In addition, a decrease in HL was observed at 24 h (p < 0.05) but was not different between experimental conditions. These data suggest that exercise and not normal variability are responsible for alterations in lipolytic activity and corresponding increases in HDL-C levels.

Effects of exercise with varying energy expenditure on high-density lipoprotein-cholesterol.

To investigate the effect of varying energy expenditure on acute high-density lipoprotein-cholesterol (HDL-C) changes, 12 healthy endurance-trained men completed three- counterbalanced running trials at different energy expenditures: trial 1, 1690.3 (24.4) kJ [mean (SD)]; trial 2, 2529.1 (24.0) kJ; trial 3, 3384.3 (36.6) kJ, with exercise intensity at 75% of maximal oxygen consumption. For each trial, blood samples were collected at 24 h pre-exercise (24 h Pre), immediately post-exercise, 1 h post-exercise, 6 h post-exercise (6 h PE), and 24 h post-exercise (24 h PE). Plasma samples were analyzed for HDL-C, HDL2-C and HDL3-C subfractions, and triglycerides (TG). In addition, post-heparin plasma samples were analyzed at 24 h Pre, 6 h PE and 24 h PE for lipoprotein lipase activity (LPLA) and hepatic triglyceride lipase activity. All samples were corrected for plasma volume changes and compared to 24 h Pre (baseline). When trials were combined, an increase (P < 0.05) in HDL-C was observed 24 h PE, via an increase (P < 0.05) in HDL3-C. An increase (P < 0.05) in LPLA and decrease (P < 0.05) in TG at 24 h PE is suggested to be responsible for the increase in HDL3-C. In conclusion, no difference in HDL-C was observed among trials. However, when trials were combined, an increase in HDL-C was observed, suggesting that an energy expenditure of no greater than 3384 kJ is needed to promote favorable changes in HDL-C.

The acute effects of exercise intensity on HDL-C metabolism.

To determine whether exercise intensity influences acute HDL-C responses, 12 male recreational runners (24.8 +/- 4 yr) who ran 15-30 miles.wk-1 exercised on a motor driven treadmill at 60% (L) and 75% (H) VO2max. A counterbalanced experimental design was utilized and energy expenditure was 800 Kcal. Fasting blood samples were obtained 24 h before exercise (24 PRE), immediately post-(IPE), 1 h post- (1 h PE), 6 h post- (6 h PE), and 24 h post- (24 h PE) exercise and analyzed for HDL-C and HDL2&3-C. In addition, postheparin plasma samples, obtained 24 h PRE, 6 h PE, and 24 h PE were analyzed for lipolytic activity--LPLA and HTGLA. An exercise trial by time interaction was observed for HDL-C (P < 0.01). Post-hoc analysis revealed no change in HDL-C following the L trial. However, an increase in HDL-C was observed 24 h PE (P < 0.01) following the H trial. The increase in HDL-C was attributed to an elevated HDL3-C (P < 0.01), with no change in HDL2-C. Analysis of plasma lipolytic activity revealed an increase in LPLA 24 h PE (P < 0.05) which may be responsible for the postexercise alterations in HDL-C. However, HTGLA decreased 6 h PE (P < 0.01) and 24 h PE (P < 0.05). We conclude that increases in HDL-C levels following endurance activity are influenced, in part, by the exercise intensity.