scholarly journals Serum free testosterone, leptin and soluble leptin receptor changes in a 6-week strength-training programme

2006 ◽  
Vol 96 (6) ◽  
pp. 1053-1059 ◽  
Author(s):  
I. Ara ◽  
J. Perez-Gomez ◽  
G. Vicente-Rodriguez ◽  
J. Chavarren ◽  
C. Dorado ◽  
...  

Strength training is usually associated with a reduction in fat mass and with muscle hypertrophy. The aim of the present study was to examine whether the serum free leptin index (FLI), measured by the molar excess of soluble leptin receptor (sOB-R) over leptin, is increased by 6 weeks of strength training. Eighteen male, physical education students were randomly assigned to two groups: a strength-training (n12) and a control group (n6). Body composition (lean body mass and body fat) determined by dual-energy X-ray absorptiometry (DXA), muscle performance and leptin, sOB-R, total testosterone and free testosterone concentrations were determined before and after training. Fat mass was reduced by 1 kg with strength training (P < 0·05). Lean body mass of trained extremities was increased by 3 % (P < 0·05), while the concentration of free testosterone in serum was reduced by 17 % (P < 0·05) after training. However, despite the reduction in fat mass and free testosterone, serum leptin concentration was not significantly affected by strength training, even after accounting for the differences in body fat. By contrast, for a given fat mass, the sOB-R was increased by 13 % (P < 0·05) at the end of the strength-training programme, although the molar excess of sOB-R over leptin remained unchanged. Therefore, the quantity of free leptin available to bind to the target tissues was not significantly affected by the short strength-training programme, which elicited a 7 % reduction in fat mass.

2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
M Said Noor ◽  
M Chawla

Abstract Aim Strength training induces a mechanical load, both increasing muscle mass and enhancing osteoblast activity. This results in increased muscle and bone strength, reducing the risk of osteosarcopenia. Osteosarcopenia can start after the age of 30, putting patients at increased risk of bone fractures, with an untrained individual losing 0.23kg of muscle mass per year. In this case study, we illustrate a training programme, implemented over a period of 4 weeks on an untrained individual. The aim is to set an exemplar strengthening regimen for patients to reduce their risk of developing osteosarcopenia and bone fractures. Method One untrained novice subject was recruited. Two physical profile measurements were taken, prior to the start of the programme and at its conclusion. These included height, weight, BMI, lean body mass, muscle circumference and 1 repetition max (1RM) for upper body strength (bench press) and lower body strength (deadlift and squat). Results The subject had increased strength performance with increased 1RM, or equivalent, in the deadlift (+2.9kg), squat (+3kg) and bench press (+2.5kg) He also had a small increase in lean body mass of 0.1kg and increased body circumference in all muscle groups. Conclusions Our study shows that a simple strength training programme performed independently can lead to improved muscle strength and increased lean body mass. We illustrated that the programme can be performed inexpensively. Forthcoming, we would like to perform a prospective cohort study with the aim to implement a standardised programme within national guidelines for fracture risk-reduction.


2003 ◽  
Vol 88 (4) ◽  
pp. 1730-1736 ◽  
Author(s):  
Mary Yannakoulia ◽  
Nikos Yiannakouris ◽  
Susann Blüher ◽  
Antonia-Leda Matalas ◽  
Dorothy Klimis-Zacas ◽  
...  

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.


2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Harkeerat Dhami ◽  
Niharika Samala

Introduction: NAFLD is one of the common causes of liver disease in the US and is commonly associated with metabolic syndrome. Among obese, prevalence of NAFLD is 7090%. We wanted to determine body morphometrics in NAFLD. Methods: All individuals presenting to Indiana University Hospital with NAFLD were approached to participate in cross-sectional study. All participants were offered beverage, diet (REAP) questionnaires and body composition analysis using InBody 570, which utilizes bioelectrical impedance. Results: Of the 321 NAFLD individuals enrolled, 256 completed body morphometric analysis. Mean age of the cohort was 51.58 ± 13.54, 58% were female, 297 White and had a mean BMI of 35.92. 76% were obese, 48% had type 2 diabetes, 49.2% had hypertension, 38.6% had dyslipidemia, and 20.5% had obstructive sleep apnea. Despite having similar BMI, females had lower lean body mass (51.01 vs 70.51) and skeletal muscle mass (28.05 vs 39.70), higher body fat mass (46.71 vs 41.04) and percent body fat (46.59 vs. 35.7). Regular coffee consumers had lower BMI (35.3 vs 38, p=0.038), but lower body fat mass (39.9 vs 46.2, p=0.01), percent body fat (41.1 vs 44.4, p=0.05) and higher lean body mass % (58.8 vs 55.5, p=0.049). Processed meat consumption was associated with higher BMI (39 vs 35.3, P=0.01), percent body fat (45.5 vs 42, p=0.04), and lower lean body mass percentage (54.5 vs 58.2, P=0.04). Similar trends were seen with consumption of high sodium processed foods and watching television for ≥ 2 hours/day. Conclusion: Among individuals with NAFLD, we saw a higher female preponderance, who were found to have unfavorable body morphometrics despite similar BMI as males. Consumption of high sodium processed food and meat and excess screen time have unfavorable, while regular coffee drinkers have favorable body morphometrics, which offer modifiable measures for risk factors associated with NAFLD.


2004 ◽  
Vol 89 (7) ◽  
pp. 3486-3495 ◽  
Author(s):  
Madhusmita Misra ◽  
Karen K. Miller ◽  
Cecilia Almazan ◽  
Kavitha Ramaswamy ◽  
Avichal Aggarwal ◽  
...  

Abstract Anorexia nervosa (AN) is associated with very low levels of leptin, a cytokine secreted by adipose tissue and known to suppress appetite. Leptin may play a permissive role in onset of puberty and in resumption of gonadal function in conditions of undernutrition. The soluble leptin receptor (sOB-R) is the main leptin binding protein, and the ratio of serum leptin to sOB-R provides a measure of the free leptin index (FLI), which may be a more accurate determinant of leptin function. Determinants of sOB-R and FLI have not been examined in an adolescent population. We examined levels of sOB-R, leptin, and FLI, and body composition and hormonal determinants of these variables in 23 adolescent girls with AN and 21 healthy adolescent girls of comparable maturity prospectively over 1 yr. Measures of insulin resistance and adiponectin were also examined. We determined changes in levels of sOB-R, leptin, and FLI with weight recovery (defined as an increase in body mass index of ≥10%, n = 11), and with resumption of menstrual cycles (n = 13). Girls with AN had significantly higher levels of sOB-R (P = 0.0008) and significantly lower levels of leptin and FLI (P &lt; 0.0001 for both) than healthy controls, and levels of FLI were reduced more than levels of leptin in girls with AN compared with controls. An inverse correlation was noted between levels of leptin and sOB-R for the group as a whole (r = −0.64, P &lt; 0.0001) but not in girls with AN considered alone. The most important predictor of levels of sOB-R was cortisol in the group as a whole (r = 0.61, P &lt; 0.0001) and in girls with AN considered alone (r = 0.66, P = 0.0008). Other independent predictors of sOB-R levels for the entire group were percent body fat (r = −0.44, P = 0.003) and levels of IGF-I (r = −0.37, P = 0.01). The most important predictors of leptin and FLI were body mass index and percent body fat. An inverse relationship was noted between measures of insulin resistance and sOB-R levels, whereas a positive association was noted between these measures and leptin and FLI. Adiponectin values did not differ in girls with AN compared with healthy controls and did not correlate with sOB-R, leptin, or FLI. Weight recovery resulted in significant decreases in levels of the sOB-R (24.7 ± 1.7 to 17.6 ± 1.2 U/ml, P = 0.004), and increases in levels of leptin (4.4 ± 1.0 to 13.7 ± 2.9 μg/liter, P = 0.02). Resumption of menstrual function, but not weight recovery alone, was associated with significant increases in FLI (0.19 ± 0.04 to 0.50 ± 0.09 μg/U × 10−3, P = 0.02). We demonstrate an increase in levels of sOB-R and a decrease in the FLI in adolescent girls with AN, and also demonstrate that cortisol is the most important predictor of levels of sOB-R in this condition. Levels of leptin and FLI, conversely, are primarily predicted by body composition. Weight recovery is associated with a decrease in sOB-R and an increase in leptin. Resumption of menses is associated with significant increases in the FLI, suggesting that free leptin may be an important determinant of menstrual recovery.


Ergonomics ◽  
1984 ◽  
Vol 27 (4) ◽  
pp. 435-442 ◽  
Author(s):  
SHIHAB S. ASFOUR ◽  
M. M. AYOUB ◽  
ANIL MITAL

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