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Pathak K, Zhao Y, Calton EK, James AP, Newsholme P, Sherriff J, Soares MJ. The impact of leucine supplementation on body composition and glucose tolerance following energy restriction: an 8-week RCT in adults at risk of the metabolic syndrome. Eur J Clin Nutr 2024; 78:155-162. [PMID: 37923932 PMCID: PMC10853066 DOI: 10.1038/s41430-023-01360-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND L-Leucine (Leu) supplementation may benefit fat-free mass (FFM) per se and glucose metabolism. OBJECTIVES To determine whether Leu supplementation during energy restriction blunted the loss of FFM, enhanced the loss of fat mass (FM) and improved glucose tolerance. DESIGN Thirty-seven adults, aged 20-65 years, with increased waist circumference and at least one other metabolic syndrome (MetS) component, were selected. We employed a two-arm parallel, double blind, randomized control trial (RCT) design. Participants were randomly assigned to an intervention group (leucine - 3 g/d) or placebo (lactose - 2.67 g/d), while following an individualised energy restricted diet for an 8-week period. Detailed body composition (DEXA), oral glucose tolerance test (OGTT), insulin and components of MetS were measured before and after the trial. Analysis of covariance (ANCOVA) assessed the effect of Leu on an intention-to-treat (ITT) principle. Bootstrapping method with 1000 bootstrap samples was used to derive parameter estimates, standard errors, p-values, and 95% confidence intervals for all outcomes. RESULTS Adjusted for baseline values and other covariates, FFM (p = 0.045) and lean tissue mass (LTM) (p = 0.050) were significantly higher following Leu. These outcomes were modified by a significant treatment x sex interaction that indicated Leu had the greater effect in men. However, on adjustment for body composition changes, there was no difference in insulin sensitivity, oral glucose tolerance, or change in MetS components following Leu. CONCLUSION Short-term leucine supplementation during energy restriction resulted in a greater preservation of FFM and LTM particularly in men, but did not impact glucose metabolism.
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Affiliation(s)
- Kaveri Pathak
- Curtin School of Population Health, Curtin University, Bentley Campus, Perth, WA, 6102, Australia.
| | - Yun Zhao
- Curtin School of Population Health, Curtin University, Bentley Campus, Perth, WA, 6102, Australia
| | - Emily K Calton
- Curtin School of Population Health, Curtin University, Bentley Campus, Perth, WA, 6102, Australia
| | - Anthony P James
- Curtin School of Population Health, Curtin University, Bentley Campus, Perth, WA, 6102, Australia
| | - Philip Newsholme
- Curtin Medical School, Curtin University, Bentley Campus, Perth, WA, 6102, Australia
| | - Jill Sherriff
- Curtin School of Population Health, Curtin University, Bentley Campus, Perth, WA, 6102, Australia
| | - Mario J Soares
- Curtin School of Population Health, Curtin University, Bentley Campus, Perth, WA, 6102, Australia.
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Fat-free mass and glucose homeostasis: is greater fat-free mass an independent predictor of insulin resistance? Aging Clin Exp Res 2019; 31:447-454. [PMID: 29992495 DOI: 10.1007/s40520-018-0993-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 06/29/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND A greater fat-free mass (FFM) is purported to be associated with protective effects on insulin resistance (IR). However, recent studies suggested negative associations between FFM and IR. OBJECTIVES (1) To explore the direction of the association between FFM and IR in a large heterogeneous sample after controlling for confounding factors. (2) To determine cut off values of FFM associated with an increased risk of IR. METHODS Outcome variables were measured in 7044 individuals (48.6% women, 20-79 years; NHANES, 1999-2006): body composition [fat mass (FM), FFM and appendicular FFM (aFFM); DXA], FFM index [FFMI: FFM/height (kg/m2)], appendicular FFMI [aFFM/height (kg/m2)] and insulin resistance (HOMA-IR). Multivariate regression analyses were performed to determine the independent predictors of HOMA-IR in younger (20-49 years) and older (50-79 years) men and women. ROC analyses were used to determine FFM cut-offs to identify a higher risk of insulin resistance (HOMA-IR > 75th percentile). RESULTS aFFMI was an independent predictor of IR in younger (men: β = 0.21; women: β = 0.31; all p ≤ 0.001) and older (men: β = 0.11; women: β = 0.37; all p ≤ 0.001) individuals. Thresholds for aFFMI at which the risk of IR was significantly increased were 8.96 and 8.39 kg/m2 in younger and older men, and 7.22 and 6.64 kg/m2 in younger and older women, respectively. CONCLUSION Independently of age, a greater aFFMI was an independent predictor of IR. These results suggest revisiting how we envision the link between FFM and IR and explore potential mechanisms.
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Effects of a 6-month caloric restriction induced-weight loss program in obese postmenopausal women with and without the metabolic syndrome: a MONET study. Menopause 2018; 24:908-915. [PMID: 28399005 DOI: 10.1097/gme.0000000000000862] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To compare the effects of a caloric restriction (CR) on body composition, lipid profile, and glucose homeostasis in obese postmenopausal women with and without metabolic syndrome (MetS). METHODS Secondary analyses were performed on 73 inactive obese postmenopausal women (age 57.7 ± 4.8 years; body mass index 32.4 ± 4.6 kg/m) who participated in the 6-month CR arm of a study of the Montreal-Ottawa New Emerging Team. The harmonized MetS definition was used to categorize participants with MetS (n = 20, 27.39%) and without MetS (n = 53, 72.61%). Variables of interest were: body composition (dual-energy X-ray absorptiometry), body fat distribution (computed tomography scan), glucose homeostasis at fasting state and during a euglycemic/hyperinsulinemic clamp, fasting lipids, and resting blood pressure. RESULTS By design, the MetS group had a worse cardiometabolic profile, whereas both groups were comparable for age. Fifty-five participants out of 73 displayed no change in MetS status after the intervention. Twelve participants out of 20 (or 60.0%) in the MetS group had no more MetS after weight loss (P = NS), whereas 6 participants out of 53 (or 11.3%) in the other group developed the MetS after the intervention (P = NS). Overall, indices of body composition and body fat distribution improved significantly and similarly in both groups (P between 0.03 and 0.0001). Furthermore, with the exception of triglyceride levels and triglycerides/high-density lipoprotein cholesterol ratio, which decrease significantly more in the MetS group (P ≤ 0.05), no difference was observed between groups for the other variables of the cardiometabolic profile. CONCLUSIONS Despite no overall significant effects on MetS, heteregeneous results were obtained in response to weight loss in the present study, with some improving the MetS, whereas other displaying deteriorations. Further studies are needed to identify factors and phenotypes associated with positive and negative cardiometabolic responses to CR intervention.
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Physical fitness improvement in overweight postmenopausal women who do not lose fat mass in response to exercise training. Menopause 2017; 23:1122-9. [PMID: 27326819 DOI: 10.1097/gme.0000000000000677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The aim of this study was to examine if overweight postmenopausal women who do not experience fat mass loss after a 1-year aerobic exercise (AE) and resistance training (RT) program can still improve physical fitness. METHODS Thirty-one overweight women (body mass index 28-40 kg/m or waist circumference ≥88 cm) participated in three weekly supervised AE and RT sessions for 1 year. All women were categorized according to their fat mass changes after the intervention: 14 women were considered as responders (fat mass loss ≥5% of initial fat mass) and 17 as nonresponders (fat mass loss <5% of initial fat mass). The main outcome measures were absolute and relative body strength, peak aerobic capacity, lower limbs power, flexibility, and body composition (DXA). Total energy intake (3-day dietary record) and physical activity level (physical activity scale for the elderly questionnaire) were also measured before, halfway through and after the intervention. RESULTS At baseline, nonresponders participants had higher body mass index (P = 0.04). After the intervention, relative and absolute upper and lower body strength, peak aerobic capacity (all P < 0.005), and flexibility increased similarly in the nonresponders and responders groups (P = 0.01). CONCLUSIONS Although some participants did not respond to exercise by decreasing fat mass, they still experienced important physical fitness benefits from AE and RT. These results suggest that body composition changes should not be the sole indicator of the benefits of exercise in overweight postmenopausal women.
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Diniz TA, Rossi FE, Fortaleza ACS, Neves LM, Christofaro DGD, Buonani C, Lira FS, Campos EZ, Prado WLD, Freitas IF. Changes in HDL-c concentrations after 16 weeks of combined training in postmenopausal women: characteristics of positive and negative responders. Appl Physiol Nutr Metab 2017; 43:38-44. [PMID: 28841397 DOI: 10.1139/apnm-2017-0294] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
This study aimed to investigate the individual characteristics of body composition and metabolic profile that could explain interindividual variation in high-density lipoprotein cholesterol (HDL-c) concentrations in response to 16 weeks of combined strength plus aerobic (combined) training in postmenopausal women. The participants were divided into tertiles based on percentage of changes in HDL-c concentrations after combined training. Only women in the upper tertile (positive responders: Δ > 10.4%; n = 19) and lower tertile (negative responders: Δ < -1.4%; n = 19) were considered for analyses. The total body fat (BF), trunk fat (TF), android fat (AF), gynoid fat, and lean body mass were estimated by dual-energy X-ray absorptiometry. The metabolic profile - glucose, triacylglycerol, total cholesterol, HDL-c, low-density lipoprotein cholesterol, and very-low-density lipoprotein (VLDL) - were assessed. After 16 weeks, both positive and negative responders presented similar improvement in body composition, such as a decrease in percentage and kilograms of BF, TF, and AF, and increase in lean body mass (p value for time < 0.05). As expected, there was an effect of time and also a significant interaction (time vs. group) (p value < 0.001) in the improvement of HDL-c, with higher values for positive responders. Regarding metabolic profile, there were significant interactions (time vs. group) for triacylglycerol (p value = 0.032) and VLDL (p value = 0.027) concentrations, with lower values for positive responders. Our results suggests there is heterogeneity in combined training-induced HDL-c changes in postmenopausal women, and the positive responders were those who presented more pronounced decreases in triacylglycerol and VLDL concentrations.
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Affiliation(s)
- Tiego A Diniz
- a Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Fabricio E Rossi
- b Center of Studies and Laboratory of Evaluation and Prescription of Motor Activities (CELAPAM), Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil.,c Exercise and Immunometabolism Research Group, Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Ana Claudia Souza Fortaleza
- b Center of Studies and Laboratory of Evaluation and Prescription of Motor Activities (CELAPAM), Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Lucas Melo Neves
- b Center of Studies and Laboratory of Evaluation and Prescription of Motor Activities (CELAPAM), Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Diego Giulliano Destro Christofaro
- b Center of Studies and Laboratory of Evaluation and Prescription of Motor Activities (CELAPAM), Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Camila Buonani
- b Center of Studies and Laboratory of Evaluation and Prescription of Motor Activities (CELAPAM), Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Fabio S Lira
- c Exercise and Immunometabolism Research Group, Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Eduardo Zapaterra Campos
- c Exercise and Immunometabolism Research Group, Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
| | - Wagner Luiz do Prado
- d Department of Human Movement Science, Federal University of São Paulo, Santos, SP, Brazil
| | - Ismael Forte Freitas
- b Center of Studies and Laboratory of Evaluation and Prescription of Motor Activities (CELAPAM), Department of Physical Education, Sao Paulo State University (UNESP), Presidente Prudente, SP, 19060-900, Brazil
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