Literature DB >> 29687650

Effect of Protein Supplementation During Diet-Induced Weight Loss on Muscle Mass and Strength: A Randomized Controlled Study.

Gordon I Smith1, Paul K Commean1, Dominic N Reeds1, Samuel Klein1, Bettina Mittendorfer1.   

Abstract

OBJECTIVE: High protein (particularly leucine-rich whey protein) intake is recommended to mitigate the adverse effect of weight loss on muscle mass. The effectiveness of this approach is unknown.
METHODS: Seventy middle-aged (50-65 years old) postmenopausal women with obesity were randomized to (1) weight maintenance (WM), (2) weight loss and the recommended daily allowance for protein (0.8 g/kg/d) (WL group), or (3) weight loss plus whey protein supplementation (total protein: 1.2 g/kg/d) (WL-PS group). Thigh muscle volume and strength were assessed at baseline and after 5% and 10% weight loss in the weight-loss groups and after matched time periods (∼3 and 6 months, respectively) in the WM group.
RESULTS: A 5% weight loss caused a greater decrease in thigh muscle volume in the WL group than the WL-PS group (4.7% ± 0.7% vs. 2.8% ± 0.8%, respectively; P < 0.05). After 10% weight loss, there was no statistically significant difference in muscle mass loss in the two groups, and the total loss was small in both groups (5.5% ± 0.8% and 4.5% ± 0.7%, respectively). The dietary interventions did not affect muscle strength.
CONCLUSIONS: Whey protein supplementation during diet-induced weight loss does not have clinically important therapeutic effects on muscle mass or strength in middle-aged postmenopausal women with obesity.
© 2018 The Obesity Society.

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Year:  2018        PMID: 29687650      PMCID: PMC5918424          DOI: 10.1002/oby.22169

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


Introduction

Obesity is associated with an increased risk of cardiometabolic abnormalities (1). Weight loss induced by consuming a hypocaloric diet can ameliorate or even completely resolve these co-morbidities (1, 2). However, diet-induced weight loss reduces total lean body and muscle mass (3–7), which could increase the risk of sarcopenia (defined as low muscle mass and function (8, 9)) in vulnerable populations, such as middle-aged, postmenopausal women and older adults (10–15). High protein intake (≥1.0 g per kg per day), particularly consumption of leucine-rich proteins such as whey protein, is recommended to prevent age-associated muscle loss (16–20) and to mitigate the adverse effect of diet-induced weight loss on muscle mass (18, 20, 21), because protein ingestion stimulates muscle protein synthesis in a dose-dependent manner (22), leucine ingestion augments the anabolic effect of protein consumption (23), and high protein intake blunts the weight loss-induced decline in lean body mass (24, 25). However, it is not known whether high protein intake during weight loss actually prevents the loss of skeletal muscle, because: i) the acute effect of protein ingestion on muscle protein synthesis might not predict the chronic effect of protein ingestion on muscle mass, which is determined by the balance between synthesis and breakdown; and ii) the weight loss-induced change in lean body mass (determined by using dual-energy X-ray absorptiometry [DXA]) is not a reliable surrogate for changes in muscle mass (determined by using computed tomography or magnetic resonance imaging (MRI)) (26). We conducted a randomized controlled trial (RCT) to evaluate the effect of diet-induced weight loss with and without whey protein supplementation on muscle mass in middle-aged (50–65 y old) postmenopausal women with obesity. Subjects were randomized to one of three intervention groups: 1) a weight maintenance (WM) group; 2) a weight loss (WL) group, who consumed a hypocaloric diet containing the RDA of protein (0.8 g g/kg/d); and 3) a weight loss plus protein supplementation (WL-PS) group, who consumed a whey protein supplement in addition to a hypocaloric diet (daily protein intake: 1.2 g/kg/d). Thigh muscle volume was evaluated by MRI, and total fat-free mass (bone included), lean body mass (bone excluded) and leg lean mass (bone excluded) were evaluated by DXA before and after ~5% and ~10% weight loss in the two weight loss groups and after a matched duration of time (~3 and ~6 months, respectively) in the WM group. In addition, we measured one repetition maximum (1-RM) muscle strength and muscle force production capacity (peak isometric and isokinetic torque), and intermuscular adipose tissue (IMAT) content, which is associated with decreased muscle strength independent of muscle mass (27–30).

Methods

Human Subjects Research Compliance

The study was approved and monitored by the Human Research Protection Office at Washington University School of Medicine in St. Louis, MO, USA. Written informed consent was obtained from all subjects before their participation. Subject flow is shown in Figure S1.

Participants

Eighty-seven, middle-aged (50–65 y old) postmenopausal women with obesity were assessed for eligibility, and 75 were enrolled (Figure S1). All participants completed a comprehensive medical evaluation, which included a history and physical examination, a 75-g oral glucose tolerance test, and standard blood tests. Potential subjects were excluded if they met the following exclusion criteria: body mass index <30 or ≥50 kg/m2; unstable body weight (i.e., >2 kg change within 6 months of screening); engaged in ≥1.5 hours of exercise per week; serious chronic disease (e.g., neuromuscular, or cardiopulmonary, or chronic kidney disease, diabetes, cancer) or a condition that could interfere with body composition imaging (e.g., certain metal implants), or taking medications that could affect muscle mass and/or function (e.g., HMG-CoA reductase inhibitors, steroids) within one year before enrolling in the study. None of the subjects consumed tobacco products or reported regular consumption of >115 g alcohol per week or scored >2 points on the Michigan Alcohol Screening Test.

Study Design

Seventy subjects completed all baseline testing and were randomized to either the WM, or WL, or WL-PS group by using a computerized randomization scheme. In the WL and WL-PS groups, outcomes were assessed before starting the intervention and after subjects had lost ~5% and ~10% of their body weight. In the WM group, outcomes were assessed at baseline and after ~3 and ~6 months, to match the anticipated time to achieve ~5% and ~10% weight loss in the WL and WL-PS groups. The primary outcome measure was the change in thigh muscle volume after ~10% weight loss. Secondary outcomes included: 1) total fat-free mass, lean body mass, and leg lean mass, 2) 1-RM leg muscle strength (composite value for bilateral leg press, knee extension, and knee flexion), 3) unilateral (dominant leg) knee extension peak torque (composite value for isometric and 60 °/s and 180 °/s isokinetic exercises), 4) unilateral (dominant leg) knee flexion peak torque (composite value for isometric and 60 °/s and 180 °/s isokinetic exercises), and 5) thigh IMAT volume.

Diet intervention

Initial target energy intake in the weight loss groups was 70% of each person’s total daily energy expenditure (resting energy expenditure × an activity factor of 1.4 (31)); energy intake was then adjusted weekly as needed to achieve 0.5%–1.0% weight loss per week until 10% weight loss was achieved. In the WM group, each subject’s energy intake was adjusted as needed to maintain body weight within 2% of the initial body weight. Target protein intake was 0.8 g/kg/d for the WM and WL groups and 1.2 g/kg/d for subjects in the WL-PS group. This amount of protein (1.2 g/kg/d) is recommended to prevent sarcopenia (16–20) and was found to attenuate the loss of lean body mass associated with diet-induced weight loss (24, 25, 32). For breakfast, all subjects consumed two nutrition bars (NuGo Nutrition, Oakmont, PA) per day; for lunch and dinner, they were given a base diet of frozen entrees (eLiving meals, Morrison Healthcare, Atlanta, GA; Lean Cuisine, Nestlé USA, Solon, OH; and meals from Revel Kitchen, St. Louis, MO and our Clinical Research Unit metabolic kitchen). Subjects in the WL-PS group also consumed two servings of a whey protein isolate (Unjury®, ProSynthesis Laboratories, Inc, Reston, VA) per day (with breakfast and as a mid-afternoon snack) whereas subjects in the WL group consumed isocaloric foods that provided mostly carbohydrates and fat instead. Additional calories needed to meet each subject’s total energy and macronutrient requirements were consumed as fruits, vegetables, dairy products and starches. We used several strategies to ensure dietary compliance and to monitor dietary intake: i) all meals and the protein supplement were provided to our study subjects, ii) dietary intake was monitored by reviewing subjects’ daily diet records during weekly visits with the study dietician, and iii) blood urea nitrogen and, in a subset of participants, urinary urea nitrogen excretion were measured as objective markers of protein intake.

Outcomes Assessments

The following assessments were completed during outpatient visits to the Clinical Research Unit or the Center for Clinical Imaging Research at Washington University School of Medicine.

Body weight and body composition

Body weight was measured on a Seca 703 scale (Seca, Hanover, MD) to the nearest 0.1 kg. Total fat mass and fat-free mass, lean body mass, and bilateral leg lean mass were evaluated by using DXA (Lunar iDXA, GE Healthcare Lunar, Madison, WI). Thigh muscle and IMAT volumes were quantified by using magnetic resonance imaging (1.5-T superconducting magnet [Siemens, Iselin, NJ] and Matlab software [Mathworks, Natick, MA]); the region of interest constituted 22 consecutive 8 mm-thick bilateral T1-weighted axial images, which were acquired with and without fat saturation starting 10 cm proximal to the distal edge of the femur.

Muscle strength

1-RM muscle strength (i.e., the maximal amount of weight each participant was able to lift just once) was evaluated by using a Hoist multi-station weight machine (Hoist Fitness Systems, Poway, CA) for the following exercises (all bilateral): leg press, knee extension, and knee flexion. The goal was to attain the 1-RM for each exercise after ~5 incremental weight lifts; at every stage, subjects were allowed a second attempt if they were unable to lift an incremental weight the first time. Peak isometric and isokinetic (60 °/s and 180 °/s) torque of the knee extensors and flexors of the dominant leg were evaluated by using a Biodex 3 dynamometer (Biodex Medical Systems, Shirley, NY). Each exercise was repeated three times and the mean of the two highest torque recordings for each exercise was used for analysis. At baseline, subjects attended an orientation session to become familiar with the exercise equipment and testing procedures. After a median of 7 (quartile 1: 6; quartile 3: 13) days, all testing procedures were repeated to obtain each subject’s baseline values; subsequent testing sessions did not include further training.

Statistical analysis

SPSS version 24 for Windows (IBM, Armonk, NY) was used for statistical analyses. Our primary analysis was intention-to-treat (ITT) and included all subjects who completed baseline testing. Analysis of variance (normally distributed variables) or the Kruskal-Wallis test (skewed variables) were used to compare baseline subject characteristics, and total energy and macronutrient intake during the dietary intervention in the three groups. Diet-induced changes in body composition and strength were analyzed by using a linear mixed model with time and group as fixed factors. Analysis of covariance with the baseline value as covariate was used to compare the intervention-induced change in blood urea nitrogen concentration and urinary urea nitrogen excretion rate, which were assessed at baseline and after 10% weight loss only, in the three groups. We also performed a “Complete Case Analysis”, which included only subjects who completed all aspects of the study. Characteristics of subjects who did and did not complete the study were compared by using Student’s t-test. Relationships among variables of interest were evaluated by computing the coefficient of determination (R2). A P-value ≤0.05 was considered statistically significant. Baseline data are presented as mean ± SEM for normally distributed data sets and median (quartile1; quartile 3) for skewed data sets. Mean changes over time and their 95% confidence bounds are used to present intervention-induced changes in the three groups.

Sample size determination and power calculation

We chose our sample size based on the expected change in our primary outcome, thigh muscle volume. Using the same MRI method we employed in our study, our former colleagues at Washington University School of Medicine have reported a 6.9 ± 3.4% (mean ± SD) decrease in thigh muscle volume in overweight adults who completed a hypocaloric diet therapy to achieve 10% weight loss (6). Using a two-sided test, and a 0.05 α-level of significance, we estimated that the sample size required to detect this difference in either the WL or WL-PS compared with the WM groups with a power of 0.80 is five per group. To detect a 3.0, 4.0, or 5.0 percentage point difference in the pre/post change value for thigh muscle volume between the WL and WL-PS groups (e.g., a 6.9% change in the WL group compared to a 3.9%, 2.9% or 1.9% change in the WL-PS group, respectively) with a power ≥0.80 would require sample sizes of n=22, n=13, and n=9 per group, respectively. Differences less than that were considered clinically insignificant.

Results

Subject characteristics, dietary compliance, and changes in body weight

Baseline characteristics of subjects in the WM, WL, and WL-PS groups in both the ITT (n = 70; Tables 1 and 2) and Complete Case Analysis (n = 53; Tables S1 and S2) cohorts were not different. Characteristics of subjects who did and did not complete the study were also not different (data not shown).
Table 1

Subjects’ body mass and composition at baseline and after ~5% and ~10% weight loss1

WM(n=18)WL(n=27)WL-PS(n=25)
Body mass (kg)
 Baseline100.9 ± 3.197.6 ± 2.594.8 ± 2.6
 After 5% weight loss2101.0 ± 3.092.2 ± 2.4*89.8 ± 2.5*
 After 10% weight loss2101.4 ± 2.888.6 ± 2.3*85.9 ± 2.4*
 Δ after 5% weight loss20.34 (−0.37, 1.06)−5.38 (−6.02, −4.75)−5.20 (−5.81, −4.59)
 Δ after 10% weight loss20.64 (−0.12, 1.40)−9.03 (−9.81, −8.24)−9.02 (−9.72, −8.32)
Body fat (%)
 Baseline49.2 ± 1.049.9 ± 0.849.5 ± 0.8
 After 5% weight loss249.8 ± 1.0*47.9 ± 0.8*47.6 ± 0.9*
 After 10% weight loss249.9 ± 1.046.3 ± 0.9*45.8 ± 0.9*
 Δ after 5% weight loss20.61 (0.06, 1.17)−1.97 (−2.48, −1.45)−1.86 (−2.34, −1.39)
 Δ after 10% weight loss20.66 (−0.25, 1.57)−3.53 (−4.52, −2.54)−3.67 (−4.56, −2.79)
Total body fat-free mass (kg)
 Baseline50.3 ± 1.248.2 ± 1.046.9 ± 1.0
 After 5% weight loss250.2 ± 1.247.1 ± 1.0*46.1 ± 1.0*
 After 10% weight loss249.9 ± 1.246.7 ± 1.0*45.8 ± 1.0*
 Δ after 5% weight loss20.05 (−0.70, 0.79)−1.41 (−2.20, −0.61)−0.85 (−1.51, −0.18)
 Δ after 10% weight loss2−0.14 (−0.92, 0.64)−1.80 (−2.68, −0.92)−1.30 (−2.01, −0.59)
Total body lean mass (kg)
 Baseline47.7 ± 1.245.7 ± 0.944.4 ± 1.0
 After 5% weight loss247.7 ± 1.244.7 ± 1.0*43.7 ± 1.0*
 After 10% weight loss247.4 ± 1.244.2 ± 1.0*43.3 ± 1.0*
 Δ after 5% weight loss20.05 (−0.71, 0.81)−1.42 (−2.12, −0.72)−0.94 (−1.59, −0.28)
 Δ after 10% weight loss2−0.15 (−0.92, 0.61)−1.81 (−2.52, −1.09)−1.32 (−2.06, −0.58)
Leg lean mass (kg)
 Baseline16.7 ± 0.515.6 ± 0.415.2 ± 0.4
 After 5% weight loss216.6 ± 0.515.1 ± 0.4*15.1 ± 0.4
 After 10% weight loss216.7 ± 0.515.0 ± 0.4*14.7 ± 0.4*†
 Δ after 5% weight loss2−0.02 (−0.28, 0.33)−0.66 (−0.93, −0.39)−0.18 (−0.49, 0.13)§
 Δ after 10% weight loss20.09 (−0.24, 0.42)−0.61 (−0.92, −0.30)−0.55 (−0.84, −0.26)

Abbreviations: WL, weight loss; WL-PS, weight loss and protein supplementation; WM, weight maintenance. Values at baseline and after 5 and 10% weight loss and a matched time period in the weight maintenance group are expressed as mean ± SEM. Change values are expressed as adjusted means and 95% confidence bounds.

All subjects who completed baseline testing were included in this intention-to-treat analysis. Differences in absolute values were analyzed by using a linear mixed model. Change values were analyzed by using a linear mixed model with the baseline values as a covariate. The multiple imputation technique was used to account for missing values.

Testing performed at a matched time period in the WM group.

Value significantly different from the corresponding value at baseline, P < 0.05.

Value significantly different from the corresponding value after 5% weight loss, P < 0.05.

Value significantly different from the corresponding value in the WM group, P < 0.05.

Value significantly different from the corresponding value in the WL group, P < 0.05.

Table 2

Subjects’ muscle function at baseline and after ~5% and ~10% weight loss1

WM(n=18)WL(n=27)WL-PS(n=25)
Sum 1-RM strength (kg)2
 Baseline182 ± 8163 ± 6170 ± 6
 After 5% weight loss3182 ± 8161 ± 6170 ± 7
 After 10% weight loss3189 ± 7*164 ± 6173 ± 6
 Δ after 5% weight loss31 (−4, 6)−2 (−7, 2)0 (−5, 5)
 Δ after 10% weight loss38 (1, 15)0 (−6, 7)3 (−4, 9)
Sum 1-RM strength/muscle volume (g/cm3)
 Baseline47.6 ± 1.744.2 ± 1.345.8 ± 1.4
 After 5% weight loss347.9 ± 1.745.6 ± 1.447.2 ± 1.4
 After 10% weight loss349.2 ± 1.647.3 ± 1.3*48.6 ± 1.4*
 Δ after 5% weight loss30.6 (−1.1, 2.3)1.3 (−0.2, 2.8)1.5 (−0.2, 3.1)
 Δ after 10% weight loss32.0 (0.0, 4.0)2.9 (1.1, 4.8)2.8 (0.9, 4.8)
Sum knee extension peak torque (Nm)4
 Baseline333 ± 16305 ± 13326 ± 14
 After 5% weight loss3324 ± 17288 ± 15*318 ± 15
 After 10% weight loss3335 ± 16303 ±13309 ± 13
 Δ after 5% weight loss3−7 (−23, 8)−18 (−33, −4)−7 (−22, 7)
 Δ after 10% weight loss34 (−16, 24)−6 (−24, 13)−14 (−30, 2)
Sum knee extension peak torque/muscle volume (Nm/cm3 × 103)
 Baseline88.1 ± 4.082.6 ± 3.187.7 ± 3.3
 After 5% weight loss384.9 ± 4.381.3 ± 3.588.2 ± 3.7
 After 10% weight loss386.9 ± 3.987.2 ± 3.387.6 ± 3.3
 Δ after 5% weight loss3−2.6 (−7.1, 1.9)−1.7 (−6.2, 2.7)0.7 (−3.6, 4.9)
 Δ after 10% weight loss3−1.1 (−6.7, 4.6)3.8 (−2.1, 9.7)−0.1 (−5.1, 5.0)
Sum knee flexion peak torque (Nm)4
 Baseline192 ± 9178 ± 7188 ± 7
 After 5% weight loss3188 ± 8167 ± 6*181 ± 6
 After 10% weight loss3188 ± 8177 ± 7183 ± 6
 Δ after 5% weight loss3−1 (−11, 8)−13 (−22, −5)−6 (−15, 2)
 Δ after 10% weight loss3−1 (−12, 10)−3 (−13, 7)−5 (−15, 5)
Sum knee flexion peak torque/muscle volume (Nm/cm3 × 103)
 Baseline51.6 ± 2.348.6 ± 1.851.1 ± 1.8
 After 5% weight loss350.5 ± 2.048.2 ± 1.750.6 ± 1.7
 After 10% weight loss350.2 ± 2.051.1 ± 1.752.1 ± 1.7
 Δ after 5% weight loss3−0.6 (−3.4, 2.1)−1.0 (−3.7, 1.7)−0.1 (−2.7, 2.4)
 Δ after 10% weight loss3−0.7 (−3.7, 2.2)2.2 (−0.7, 5.1)1.3 (−1.4, 4.1)

Abbreviations: 1-RM, 1-repetition maximum; WL, weight loss; WL-PS, weight loss and protein supplementation; WM, weight maintenance. Values at baseline and after 5 and 10% weight loss and a matched time period in the weight maintenance group are expressed as mean ± SEM. Change values are expressed as adjusted means and 95% confidence bounds.

All subjects who completed baseline testing were included in this intention-to-treat analysis. Differences in absolute values were analyzed by using a linear mixed model. Change values were analyzed by using a linear mixed model with the baseline values as a covariate. The multiple imputation technique was used to account for missing values.

Sum of bilateral leg press, knee extension, and knee flexion exercises.

Testing performed at a matched time period in the WM group.

Sum of unilateral (dominant leg) isometric (0 °/s) and isokinetic (at 60 °/s and 180 °/s) exercises.

Value significantly different from the corresponding value at baseline, P < 0.05.

Value significantly different from the corresponding value after 5% weight loss, P < 0.05.

Subjects who completed the study in both the WL and WL-PS groups achieved the targeted ~5% and ~10% weight loss at ~3 and ~6 months, respectively (Figure 1). Protein intake (assessed by food records) closely matched the prescribed amounts of 0.8 g/kg/d in the WM and WL groups and 1.2 g/kg/d in the WL-PS group (Table 3). The additional amount of protein (0.4 g/kg/d more in the WL-PS than the WL group) did not markedly alter overall diet composition (Table 3). Blood urea nitrogen concentration and urinary urea nitrogen excretion rate, which are biomarkers of dietary protein intake, were not different among the three groups at baseline but were greater (P <0.001) in the WL-PS than the WL and WM groups at the end of the dietary intervention (Table 3).
Figure 1

Changes in body mass during the dietary interventions in subjects who completed all study visits

Data are expressed as mean ± SEM. WL: weight loss (n=18); WL-PS: weight loss and protein supplementation (n=19); WM: weight maintenance (n=16).

Table 3

Reported energy and macronutrient intake and biomarkers of protein intake

WMWLWL-PS
Energy (kJ/day)7,435 ± 5455,676 ± 208*5,681 ± 180*
 Carbohydrates (% total energy)47 ± 150 ± 144 ± 1
 Carbohydrates (% non-protein energy intake)58 ± 164 ± 165 ± 2*
 Fat (% total energy)34 ± 128 ± 1*24 ± 1*
 Fat (% non-protein energy intake)42 ± 136 ± 135 ± 2*
 Protein
  % total energy19 ± 122 ± 1*31 ± 1*
  grams/day82 ± 874 ± 3105 ± 3*
  grams/kg body weight/day0.78 ± 0.060.86 ± 0.031.22 ± 0.03*
Blood urea nitrogen concentration (mg/dl)
  Baseline13.6 ± 0.614.8 ± 0.812.7 ± 0.7
  Δ after 10% weight loss10.2 (−2.1, 1.7)−1.6 (−3.3, 0.2)3.4 (1.6, 5.1)*
Urinary urea nitrogen excretion rate (mg/kg/d)2
  Baseline97 ± 12121 ± 11107 ± 6
  Δ after 10% weight loss1−16 (−64, 33)1 (−39, 42)67 (27, 106)*

Abbreviations: WL, weight loss; WL-PS, weight loss and protein supplementation; WM, weight maintenance. Baseline values are expressed as mean ± SEM. Change values are expressed as adjusted means and 95% confidence bounds.

Testing performed at a matched time period in the WM group.

Represents data from a subset of subjects (WM, n=7; WL, n=10; WL-HP, n=10) who performed 24-h urine collections before and after weight loss or a matched time period in the WM group. Assuming 6.25% nitrogen in dietary protein and 90% of nitrogen loss occurs in urine, protein intake after weight loss was 0.80 ± 0.06 g/kd/day in the WL group and 1.22 ± 0.21 g/kg/day in the WL-PS group.

Value significantly different from the corresponding value in the WM group, P < 0.05.

Value significantly different from the corresponding value in the WL-PS group.

Changes in total fat-free mass, lean body mass, leg lean mass, thigh muscle and IMAT volumes, and muscle strength

Weight loss caused a decrease in total fat-free and lean body mass, leg lean mass and thigh muscle volume in both the WL and WL-PS groups. After ~5% weight loss, the decreases in total fat-free and lean body mass, leg lean mass, and thigh muscle volume in the WL-PS group were approximately half that in the WL group, whereas after ~10% body weight loss, the decrease from baseline tended to be lower in the WL-PS than the WL group but the difference between the groups was very small and not statistically significantly different (P ≥ 0.31 in the ITT analysis shown in Table 1 and Figure 2, and P ≥0.24 in the Complete Case Analysis shown in Table S1 and Figure S2). Although the relationships between the changes in thigh muscle volume and the changes in total fat free mass, lean body mass, and leg lean mass were statistically significant (all p < 0.05), the correlations between each of these pairs of outcome measures were weak (R2 = 0.116, R2 = 0.210, and R2 = 0.059, respectively).
Figure 2

Changes in thigh muscle and intermuscular adipose tissue volumes during the dietary interventions in all subjects who completed baseline testing (intention-to-treat analysis)

The left panel shows thigh muscle and intermuscular adipose tissue volumes expressed as mean ± SEM at baseline (black bars) and after 5% (grey bars) and 10% (white bars) weight loss and a matched time period in the weight maintenance group. The right panel shows the corresponding relative changes from baseline expressed as adjusted means with 95% confidence bounds. Differences in the left panel were analyzed by using a linear mixed model. Change values in the right panel were analyzed by using a linear mixed model with the baseline values as a covariate. The multiple imputation technique was used to account for missing values. IMAT: intermuscular adipose tissue. WL: weight loss (n=27); WL-PS: weight loss and protein supplementation (n=25); WM: weight maintenance (n=18). * Value significantly different from the corresponding value at baseline, P < 0.05. † Value significantly different from the corresponding value after 5% weight loss. ‡ Value significantly different from the corresponding value in the WM group, P < 0.05. § Value significantly different from the corresponding value in the WL group, P < 0.05.

Weight loss reduced IMAT volume in both the WL and WL-PS groups, and the decrease was not different between the two groups (Figures 2 and S2). Neither 1-RM thigh muscle strength nor peak torque were altered by the dietary interventions (Tables 2 and S2).

Discussion

We conducted a RCT to evaluate the effect of dietary whey protein supplementation on thigh muscle and IMAT volumes and muscle function after ~5% and ~10% weight loss in middle-aged, postmenopausal women with obesity. Participants consumed either a standard-protein (0.8 g protein/kg/d) weight loss diet or the same diet in which part of breakfast and an afternoon snack were replaced with isocaloric whey protein supplements that provided an additional 0.4 g protein/kg/d. We found that protein supplementation during weight loss blunted the initial decline in thigh muscle volume after 5% weight loss, and tended to decrease the reduction in thigh muscle volume after 10% weight loss. The decline in thigh muscle volume after 10% weight loss in both groups was very small, representing less than a 6% (~200 cm3) decrease in bilateral thigh muscle volume, which is consistent with the results reported previously in middle-aged and older adults (5, 6). Moreover, the decline in muscle volume in both the_WL or WL-PS groups was not associated with a decrease in muscle strength. Weight loss caused the same decrease in IMAT volume in both the WL and WL-PS groups. These data demonstrate that 10% weight loss, induced by consuming a hypocaloric diet containing the RDA for protein (0.8 g/kg/day), does not have clinically important adverse effects on muscle mass and strength in middle-aged, postmenopausal women with obesity. Moreover, increasing daily protein intake by 50% above the RDA attenuates muscle loss, but the effect on muscle mass is very small, and does not translate into an improvement in muscle strength. Our data are consistent with the results from previous studies, which included young and older adult men and women, and found that high protein intake caused a small, but statistically significant, attenuation in the decline in lean body mass after moderate weight loss in studies that lasted up to ~6 months (24, 25), but had no effect on the amount of total body mass or body composition in studies that lasted 12 months (33). However, we are not aware of any previous studies that evaluated the effect of high protein intake or protein supplementation during weight loss on muscle mass or volume in people with obesity. It has been reported that weight loss-induced changes in DXA-derived total lean body mass do not accurately reflect changes in muscle mass (determined directly by using computed tomography or magnetic resonance imaging (MRI)) (26). Our results confirm this observation, because we found very weak correlations between the change in thigh muscle volume determined by MRI and the changes in total fat-free mass, lean body mass and leg lean mass determined by DXA. Together, these results demonstrate that high protein intake during diet-induced weight loss attenuates the decline in lean body mass and muscle mass, but the effect is small and does not cause a decrease in muscle strength. Moreover, weight loss causes a much greater decrease in body weight than muscle mass, so the ratio of muscle mass to body weight increased, which presumably contributes to improved physical function despite a reduction in muscle mass and no change in strength observed after weight loss in older adults with obesity (5). Additional studies are needed to evaluate the effect of short-term protein supplementation during weight loss on muscle mass after long-term weight maintenance or weight regain. Increased IMAT content in people with obesity is associated with poor muscle function (27–30), and weight loss decreases IMAT content (3, 7, 34, 35). The results from our study are therefore consistent with and extend the findings from earlier studies by demonstrating that the weight loss-induced decrease in IMAT is not associated with an increase in muscle strength, and that increased protein intake does not affect the magnitude of the weight-loss induced change in IMAT content or affect strength. It is, however, possible that the change in IMAT content in our subjects was too small to affect muscle function or that the concomitant loss of muscle mass counteracted the potential benefit of reduced IMAT content on muscle function. The results from our study might not translate to other populations (e.g., younger women or men) or protein interventions. We studied postmenopausal women between 50 and 65 years of age and studied the effect of only a single type (whey) and dose (0.4 g/kg/d in addition to the RDA of 0.8 g/kg/d) of protein, because: i) the prevalence of obesity and future risk of sarcopenia in middle-aged postmenopausal women (10–15); ii) whey protein causes a greater stimulation of muscle protein synthesis than many other types of protein because of its high leucine content (16, 20); and iii) 1.5 times the RDA of protein (a total of 1.2 g protein/kg per day) is the amount recommended by a consortium of the International Association of Gerontology and Geriatrics, the International Academy on Nutrition and Aging, the European Union Geriatric Medicine Society, and the Australian and New Zealand Society for Geriatric Medicine, for people at risk of sarcopenia and people undergoing dietary weight loss therapy (16–21). In addition, we did not evaluate whether concomitant exercise training might have generated a beneficial effect of protein supplementation on muscle mass. However, the data from several recent systematic reviews and meta-analyses show little or no effect of increased protein/amino acid intake on exercise training-induced muscle hypertrophy in weight-stable middle-aged and older adults (36–41). High protein intake during weight loss therapy is often recommended to facilitate both short-term and long-term weight loss because protein increases satiety and the thermogenic effect of feeding (21, 42–44). However, the results from the most recent systematic review and meta-analysis show that high protein intake does not cause greater weight loss than standard protein intake in older people with obesity who participated in a weight loss program (24). Furthermore, high protein intake after weight loss does not improve long-term weight maintenance of weight loss (45). In addition, we recently found that protein supplementation could have adverse metabolic effects by preventing the weight loss-induced improvement in insulin sensitivity (32). Therefore, the current recommendations of high protein intake during weight loss therapy should be reconsidered.

Conclusion

In summary, our findings demonstrate that in middle-aged, postmenopausal women with obesity, moderate 5%–10% weight loss does not have adverse effects on maximal muscle strength despite a small decrease in muscle mass. Moreover, a 50% increase in protein intake during weight loss therapy does not have clinically important therapeutic effects on muscle mass or muscle strength. These results indicate that increasing protein intake beyond the RDA during weight loss therapy is not necessary in middle-aged, postmenopausal women with obesity.
  44 in total

1.  No evidence for metabolic adaptation in thermic effect of food by dietary protein.

Authors:  Elizabeth F Sutton; George A Bray; Jeffrey H Burton; Steven R Smith; Leanne M Redman
Journal:  Obesity (Silver Spring)       Date:  2016-06-29       Impact factor: 5.002

Review 2.  Effects of protein supplementation in older adults undergoing resistance training: a systematic review and meta-analysis.

Authors:  Débora Finger; Fernanda Reistenbach Goltz; Daniel Umpierre; Elisabeth Meyer; Luis Henrique Telles Rosa; Cláudia Dornelles Schneider
Journal:  Sports Med       Date:  2015-02       Impact factor: 11.136

3.  Supplementing a normal diet with protein yields a moderate improvement in the robust gains in muscle mass and strength induced by resistance training in older individuals.

Authors:  Lars Holm; Nikolai B Nordsborg
Journal:  Am J Clin Nutr       Date:  2017-09-06       Impact factor: 7.045

Review 4.  Effects of energy-restricted high-protein, low-fat compared with standard-protein, low-fat diets: a meta-analysis of randomized controlled trials.

Authors:  Thomas P Wycherley; Lisa J Moran; Peter M Clifton; Manny Noakes; Grant D Brinkworth
Journal:  Am J Clin Nutr       Date:  2012-10-24       Impact factor: 7.045

5.  Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People.

Authors:  Alfonso J Cruz-Jentoft; Jean Pierre Baeyens; Jürgen M Bauer; Yves Boirie; Tommy Cederholm; Francesco Landi; Finbarr C Martin; Jean-Pierre Michel; Yves Rolland; Stéphane M Schneider; Eva Topinková; Maurits Vandewoude; Mauro Zamboni
Journal:  Age Ageing       Date:  2010-04-13       Impact factor: 10.668

6.  Intramyocellular Lipid and Impaired Myofiber Contraction in Normal Weight and Obese Older Adults.

Authors:  Seung J Choi; D Clark Files; Tan Zhang; Zhong-Min Wang; Maria L Messi; Heather Gregory; John Stone; Mary F Lyles; Sanjay Dhar; Anthony P Marsh; Barbara J Nicklas; Osvaldo Delbono
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-09-23       Impact factor: 6.053

Review 7.  The Energy Content and Composition of Meals Consumed after an Overnight Fast and Their Effects on Diet Induced Thermogenesis: A Systematic Review, Meta-Analyses and Meta-Regressions.

Authors:  Angelica Quatela; Robin Callister; Amanda Patterson; Lesley MacDonald-Wicks
Journal:  Nutrients       Date:  2016-10-25       Impact factor: 5.717

8.  Aerobic exercise attenuates the loss of skeletal muscle during energy restriction in adults with visceral adiposity.

Authors:  Eiichi Yoshimura; Hideaki Kumahara; Takuro Tobina; Takuro Matsuda; Kiwa Watabe; Sakiko Matono; Makoto Ayabe; Akira Kiyonaga; Keizo Anzai; Yasuki Higaki; Hiroaki Tanaka
Journal:  Obes Facts       Date:  2014-01-23       Impact factor: 3.942

Review 9.  Long-term effects of low-fat diets either low or high in protein on cardiovascular and metabolic risk factors: a systematic review and meta-analysis.

Authors:  Lukas Schwingshackl; Georg Hoffmann
Journal:  Nutr J       Date:  2013-04-15       Impact factor: 3.271

Review 10.  Protein Supplementation Does Not Significantly Augment the Effects of Resistance Exercise Training in Older Adults: A Systematic Review.

Authors:  Danielle K Thomas; Marcus A Quinn; David H Saunders; Carolyn A Greig
Journal:  J Am Med Dir Assoc       Date:  2016-10-01       Impact factor: 4.669

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  2 in total

Review 1.  A word of caution against excessive protein intake.

Authors:  Bettina Mittendorfer; Samuel Klein; Luigi Fontana
Journal:  Nat Rev Endocrinol       Date:  2019-11-14       Impact factor: 43.330

Review 2.  Milk Whey Hydrolysates as High Value-Added Natural Polymers: Functional Properties and Applications.

Authors:  Arely León-López; Xóchitl Alejandra Pérez-Marroquín; Ana Guadalupe Estrada-Fernández; Gieraldin Campos-Lozada; Alejandro Morales-Peñaloza; Rafael G Campos-Montiel; Gabriel Aguirre-Álvarez
Journal:  Polymers (Basel)       Date:  2022-03-21       Impact factor: 4.329

  2 in total

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