Abstract
Background: High-protein diets (HPDs) recently have been used to obtain body weight and fat mass loss and expand muscle mass. Several studies have documented that HPDs reduce appetite and food intake.
Objective: Our goal was to determine the long-term effects of an HPD on body weight, energy intake and expenditure, and metabolic hormones.
Methods: Male C57BL/6 mice (8 wk old) were fed either an HPD (60% of energy as protein) or a control diet (CD; 20% of energy as protein) for 12 wk. Body composition and food intakes were determined, and plasma hormone concentrations were measured in mice after being fed and after overnight feed deprivation at several time points.
Results: HPD mice had significantly lower body weight (in means ± SEMs; 25.73 ± 1.49 compared with 32.5 ± 1.31 g; P = 0.003) and fat mass (9.55% ± 1.24% compared with 15.78% ± 2.07%; P = 0.05) during the first 6 wk compared with CD mice, and higher lean mass throughout the study starting at week 2 (85.45% ± 2.25% compared with 75.29% ± 1.90%; P = 0.0001). Energy intake, total energy expenditure, and respiratory quotient were significantly lower in HPD compared with CD mice as shown by cumulative energy intake and eating rate. Water vapor was significantly higher in HPD mice during both dark and light phases. In HPD mice, concentrations of leptin [feed-deprived: 41.31 ± 11.60 compared with 3041 ± 683 pg/mL (P = 0.0004); postprandial: 112.5 ± 102.0 compared with 8273 ± 1415 pg/mL (P < 0.0001)] and glucagon-like peptide 1 (GLP-1) [feed-deprived: 5.664 ± 1.44 compared with 21.31 ± 1.26 pg/mL (P = <0.0001); postprandial: 6.54 ± 2.13 compared with 50.62 ± 11.93 pg/mL (P = 0.0037)] were significantly lower, whereas postprandial glucagon concentrations were higher than in CD-fed mice.
Conclusions: In male mice, the 12-wk HPD resulted in short-term body weight and fat mass loss, but throughout the study preserved body lean mass and significantly reduced energy intake and expenditure as well as leptin and GLP-1 concentrations while elevating postprandial glucagon concentrations. This study suggests that long-term use of HPDs may be an effective strategy to decrease energy intake and expenditure and to maintain body lean mass.
Keywords: appetite and energy intake, high-protein diet, metabolic hormones, metabolism and energy expenditure, respirometry and calorimetry
Introduction
Currently, diets with elevated protein content are very popular strategies for the treatment of obesity disorders (1) and to increase muscle mass. Several studies (2–6) have shown that high-protein diets (HPDs) used in overweight or obese adults result in loss of body weight and fat mass and preserve lean mass. Higher protein dietary intake has been shown to reduce appetite and food intake (4, 7) without inducing conditioned food aversion (8). In rodents, HPDs were confirmed to induce satiety and subsequently reduce energy intake and body weight (9–11). Some authors (12–14), with the use of single high-protein meal intake experiments, reported an alteration of either anorexigenic or orexigenic hormones. Published studies (15, 16) have shown that the beneficial effects of HPDs on appetite and body weight in overweight and obese patients are only temporary and that patients lost body weight initially but regained it after ∼6 mo (6). Inadequate nutrition counseling, poor dietary compliance, or both have been suggested as potential causes in several studies (2, 17–19). Animal experiments in rodents treated with an HPD have documented similar decreases in appetite that lasted only for a limited period of time (8–11, 20–22) and ruled out scarce dietary compliance and poor diet quality as potential causes. In the literature, there is a lack of studies on the effects of long-term HPD regimens on energy intake and body weight and only 2 studies extended the experimental observations to a period of 3 (11) or 8 (23) wk.
HPD-induced effects on body composition and appetite were proposed to be mediated by mechanisms regulating food intake and energy expenditure. Mammals derive energy from the oxidation of ingested macronutrients to maintain their body homeostasis (24). Previous studies have shown that mice fed a Western high-fat diet showed an increase in energy absorption and expenditure during the initial 7 d (25), but then their body weight increased progressively throughout the study, even though their energy balance normalized. In acute room calorimetry studies, subjects who consumed high-protein meals showed, in comparison to subjects who consumed high-fat or high-carbohydrate meals (26–30), more elevated energy expenditure and oxygen consumption that were attributed to the digestion of proteins (28). The decreased energy intake in HPD-fed subjects cannot explain the short-term decrease in body weight and fat mass; thus, long-term effects induced by HPDs could be due to an adaptive change in metabolic rate and energy expenditure. A study by Kim et al. (31) showed that a 12-wk HPD (47.9% protein) treatment did not induce significant changes in body weight, energy expenditure, and physical activity. In the study by Schwarz et al. (32), a 50% high-protein intake significantly reduced the effect of high-fat-diet–induced body weight gain and adipose tissue mass and reduced hepatic lipid accumulation compared with mice fed a normal-protein diet. This may potentially lead to the development of more effective dietary interventions to prevent or treat patients with obesity disorders or metabolic syndrome. Therefore, our current study analyzes in C57BL/6 mice the effects of a 12-wk treatment with an isocaloric HPD in comparison to a control diet (CD) on body weight and mass composition, food and water intakes, feeding and drinking behavior, energy expenditure, respirometry, physical activity, and concentrations of a panel of plasma metabolic hormones such as active ghrelin, glucagon-like peptide 1 (GLP-1), leptin, glucagon, insulin, and peptide YY (PYY) in mice after being fed or after overnight feed deprivation. The outcome results of the current study provide an important overview of the effects of long-term use of an isocaloric HPD in normal mice. Understanding the mechanisms by which HPDs affect body composition, energy intake and expenditure, and metabolic hormones is important and might potentially lead to the development of more effective dietary interventions to prevent or treat obesity disorders.
Methods
Animals and diets.
To investigate the long-term effects of an HPD on body phenotype, calorimetric variables, and metabolic hormones, age-matched wild-type C57BL/6 mice were individually housed under controlled light-cycle illumination (0600–1800) and temperature (21–23°C) conditions. Food and water were provided ad libitum during the duration of the experiment unless otherwise specified. The mice were then separated into 2 different diet groups (Supplemental Table 1). The diets were purchased from Research Diets, and the diet food was stored sealed at 4°C until used. The experimental study protocol was approved by the Institutional Animal Care and Use Committee, of the Veterans Affairs (VA) Greater Los Angeles Healthcare System.
Experimental design.
Mice at 10–12 wk of age were divided into 2 different groups, single-housed in standard cages, and fed ad libitum either an HPD (60% of energy as protein; n = 8) or a CD (20% of energy as protein; n = 10). Body weights were measured at baseline and at weekly intervals throughout the 12-wk study period. Food and water consumption were monitored weekly. Body fat and lean mass were assessed biweekly. Body weight, fat mass, and lean mass values were expressed as percentages of change from the initial measurements performed at baseline. At the end of the study period, all of the mice were single-housed in metabolic cages (Promethion; Sable Systems International) for a period of 5 d for habituation, followed by 3 d of monitoring feeding behavior, water intake, energy expenditure, and physical activity.
Body weight and composition analysis.
Murine body mass composition was assessed weekly and expressed as a percentage of the total body net weight by using a quantitative NMR analysis system (EchoMRI-700 4 in 1 composition analyzer; Echo Medical Systems). Mice were conscious and lightly restrained during the scan (∼2 min).
Determination of food intake behavior.
Analysis of food intake was performed by using the BioDAQ Food Intake Monitoring System for mice (BioDAQ; Research Diets, Inc.) as previously described (33).
Assessment of indirect calorimetry by using the Promethion metabolic system.
Indirect calorimetry data were recorded in the studied mice by using a Promethion Metabolic Cage System (Sable Systems) as described previously (34). Mice were acclimated for 5 d in metabolic cages before recording calorimetric variables. Nonrestricted, ad libitum access to the food hopper and water were allowed throughout the study. Mice were also feed-deprived beginning at 1800 for a 24-h period to determine calorimetric variables during feed-deprived conditions. Respiratory gases including water vapor were measured with an integrated fuel cell oxygen analyzer, spectrophotometric carbon dioxide analyzer, and capacitive water vapor partial pressure analyzer (35). Respiratory quotient (RQ) was calculated as the ratio of carbon dioxide production over oxygen consumption. Energy expenditure was calculated by using the Weir equation: kcal/h = 60 × [0.003941 × oxygen consumption (VO2) + 0.001106 × carbon dioxide production (VCO2)]. Water intake was measured by using the automated Promethion Metabolic Cage System, which monitors in real time the water hopper to continuously measure the water weight (expressed in g) to calculate water intake and water bouts for a complete characterization of the drinking activity. “Mean water intake” was defined as the total water intake measured during a period of time divided by the number of bouts. Water intake was measured in real time through a weight sensor with a 3-mg resolution that was attached to a water bottle. Total water intake was calculated as the total grams of water consumed during either the dark or light phase. Bouts were defined as the number of times the mouse consumed water. Mean water intake was calculated as the total water intake divided by the number of bouts and the minutes that each mouse spent drinking.
Plasma hormone panel.
Blood plasma samples were obtained at the end of the 12-wk study period from each mouse in feed-deprived conditions (feed-deprived: 1800–0900) and in postprandial conditions (overnight feed-deprived: 1800–0900) followed by 1-h postfeeding (0900–1000). Plasma hormone samples were measured as previously described (33). All of the samples were processed in 1 batch and read via a Luminex 100 reader (Luminex).
Data analysis.
A multiple-comparison t test was used to evaluate the significance of body weight and body mass composition data between the 2 different diet study groups throughout the study. We used a Sidak post-test in our comparison tests. Cumulative food intake and all BioDAQ variables were calculated for significance by using a 2-factor ANOVA with a Sidak post-test for multiple comparisons. To evaluate the metabolic behavior variables a 2-factor ANOVA was used to compare the dark or light phase mean averages between each murine diet group. The factors included in the 2-factor ANOVA analysis were RQ, VO2, VCO2, water vapor production (VH2O), total energy expenditure (TEE), total activity index, coarse activity index, fine activity index, and mean locomotion speed and time of day (dark and light phase). The metabolic hormone variables for HPD- compared with CD-fed mice in feed-deprived and postprandial conditions were analyzed by using an unpaired t test. All analyses and graphs were conducted and created by using GraphPad Prism 6 software.
Results
Effects of a long-term HPD treatment on body weight and fat and lean mass.
HPD-fed mice, in comparison to CD-fed mice, lost a significant amount of body weight from week 2 through week 6 [at week 2: 25.20 ± 0.36 compared with 30.23 ± 1.04 g (P = 0.05); at week 4: 25.87 ± 1.37 compared with 31.79 ± 1.22 g (P = 0.01); and at week 6: 25.73 ± 1.49 compared with 32.5 ± 1.31 g (P = 0.003)]; however, from week 8 to week 12 the HPD-fed mice regained weight and their body weight values were not significantly different from those of the CD-fed mice (Figure 1A). Body fat mass analysis showed significant differences between the 2 groups as shown in Figure 1B: HPD-fed mice had lower percentages of body fat mass at week 4 (8.46% ± 1.27% compared with 14.95% ± 1.84%; P = 0.04) and at week 6 (9.55% ± 1.24% compared with 15.78% ± 2.07%; P = 0.05). However, from week 8 to week 12 there was no significant difference in body fat mass between HPD- and CD-fed mice (Figure 1B). In the HPD-fed mice, the body lean mass percentages were significantly higher than in the CD-fed group throughout the 12-wk study period beginning at week 2 (88.30% ± 0.92% compared with 81.59% ± 1.68%; P = 0.02), at week 4 (87.08% ± 1.30% compared with 80.95% ± 1.74%; P = 0.04), at week 6 (85.36% ± 1.16% compared with 79.31% ± 1.83%; P = 0.05), at week 10 (83.52% ± 1.72% compared with 77.01% ± 1.63%; P = 0.03), and at week 12 (85.45% ± 2.25% compared with 75.29% ± 1.90%; P = 0.0001) (Figure 1C).
FIGURE 1.
Body weight (A), body fat mass (B) and body lean mass (C) analysis of HPD- and CD-fed mice during the 12-wk period in 2-wk intervals. We used unpaired t tests to perform comparisons between HPD- and CD-fed mice. Values are means ± SEMs; HPD group, n = 8; CD group, n = 10. *P < 0.05, **P < 0.01, ***P < 0.001. CD, control diet; HPD, high-protein diet.
Reduced food intake and increased water intake with a long-term HPD.
The HPD-fed mice had a significant decrease in weekly measured food intake and increased water intake (Supplemental Figure 1). The BioDAQ analysis showed that the HPD-fed mice had a significant decrease in total cumulative food intake during the 24-h period compared with CD-fed mice (2.31 ± 0.13 compared with 3.49 ± 0.26 g; P = 0.023) (Figure 2A). Feeding behavior was further analyzed by dividing a 24-h period into 12-h increments: light phase (0600–1759) and dark phase (1800–0559). Bout duration, bout frequency, meal duration, meal frequency, meal size, and eating rate were analyzed in each group of mice during each of the 2 phases. During the dark phase, HPD-fed mice had a significant decrease in bout duration (99.08 ± 21.54 compared with 180.1 ± 22.52 min; P = 0.0008) (Figure 2B). Bout frequency was significantly decreased during the dark phase in the HPD group (74.29 ± 7.46 compared with 96.50 ± 4.24; P = 0.02) (Figure 2C). HPD-fed mice had a significant decrease in meal duration in the dark phase (134.63 ± 30.1 compared with 217.45 ± 26.43 min/meal; P = 0.01) (Figure 2D), whereas no significant difference was found in meal frequency between the 2 groups (Figure 2E). A significant decrease in meal size was found in the HPD group compared with the CD group (2053 ± 316.70 compared with 1230 ± 163.50 mg/meal; P = 0.01) (Figure 2F). A significant decrease in eating rate was observed between the HPD-fed mice compared with the CD-fed mice (1.71 ± 0.23 compared with 3.25 ± 0.36 mg/min; P = 0.0032) (Figure 2G).
FIGURE 2.
Food intake analysis between HPD- and CD-fed mice. (A) Food consumption data for HPD- and CD-fed mice expressed as 24-h average values over 48 h of uninterrupted recording; cumulative food intake was calculated by using 2-h intervals. (B) Bout duration, (C) bout frequency, (D) meal duration, (E) meal frequency, (F) meal size, and (G) eating rate analyzed between the dark and light cycles. We used unpaired t tests to perform comparisons of food consumption data. We used 2-factor ANOVA analysis to compare bout duration, bout frequency, meal duration, meal frequency, meal size, and eating rate values during the dark and light phases between HPD- and CD-fed mice. Values are means ± SEMs; HPD group, n = 8; CD group, n = 10. *P < 0.05, **P < 0.01, ***P < 0.001. CD, control diet; HPD, high-protein diet.
Water intake increased significantly during the dark phase in HPD-fed mice compared with CD-fed mice (2.80 ± 0.32 compared with 1.60 ± 0.29 g; P = 0.0027) (Figure 3A). Mean water intake significantly increased in HPD-fed mice compared with CD-fed mice during light (0.06 ± 0.01 compared with 0.03 ± 0.01 g; P = 0.003) and dark (0.06 ± 0.003 compared with 0.04 ± 0.005 g; P = 0.034) phases (Figure 3B). No significant difference was found in the number of bouts (Figure 3C) and in the time spent drinking (Figure 3D) between the 2 groups during the dark and light phases.
FIGURE 3.
Water intake and drinking behavior variables between HPD- and CD-fed mice. Total water intake (A), mean water intake (B), drinking bouts (C), and time spent drinking (D) analyzed between the dark and light cycles. Values are means ± SEMs; HPD group, n = 8; CD group, n = 10. *P < 0.05, **P < 0.01. CD, control diet; HPD, high-protein diet.
Effects of long-term treatment with HPD on metabolic rate and energy expenditure.
TEE was lower in HPD-fed mice than in CD-fed mice (Figure 4A); the averaged values were significantly lower during both the dark phase (0.48 ± 0.01 compared with 0.55 ± 0.01 kcal/h; P = 0.003) and the light phase (0.37 ± 0.01 compared with 0.42 ± 0.01 kcal/h; P = 0.03) (Figure 4B). Twenty-four-hour feed-deprived HPD-fed mice had lower TEE values than CD-fed mice (Figure 4C), and the averaged values were significantly lower during the dark phase (0.34 ± 0.01 compared with 0.44 ± 0.03 kcal/h; P = 0.03) (Figure 4D), similar to mice fed in ad libitum conditions. RQ values were lower in HPD-fed mice than in CD-fed mice (Figure 4E), and the averaged values were significantly lower during both the dark phase (0.80 ± 0.02 compared with 0.87 ± 0.03; P = 0.01) and the light phase (0.74 ± 0.01 compared with 0.82 ± 0.02; P = 0.007) (Figure 4F). However, in feed-deprived conditions, the differences in RQ values between HPD- and CD-fed mice were not significantly different during either the dark or light phase (Figure 4G, H) compared with mice fed ad libitum. Interestingly, the VH2O values were significantly higher in the HPD-fed mice than in the CD-fed mice (Figure 4I); the averaged values were significantly higher during both the dark phase (0.32 ± 0.03 compared with 0.23 ± 0.02 mL/min; P = 0.01) and the light phase (0.24 ± 0.01 compared with 0.14 ± 0.01 mL/min; P = 0.006) (Figure 4J). However, VH2O values were not significantly different between HPD-fed and CD-fed mice during feed-deprived conditions (Figure 4K, L).
FIGURE 4.
Analysis of respirometry and calorimetry data between HPD- and CD-fed mice. TEE (A) and dark phase and light phase averages of TEE (B) between HPD- and CD-fed mice; TEE (C) and dark phase and light phase averages of TEE (D) between HPD- and CD-fed mice in feed-deprived conditions; RQ (E) and dark phase and light phase averages of RQ (F) between HPD- and CD-fed mice; RQ (G) and dark phase and light phase averages of RQ (H) between HPD- and CD-fed mice in 24-h feed-deprived conditions; VH2O (I) and dark phase and light phase averages of VH2O (J) between HPD- and CD-fed mice; VH2O (K) and dark phase and light phase averages of VH2O (L) between HPD- and CD-fed mice in 24-h feed-deprived conditions are shown. Values in panels B, D, F, H J, and L are means ± SEMs; HPD group, n = 8; CD group, n = 10. *P < 0.05, **P < 0.01. CD, control diet; HPD, high-protein diet; RQ, respiratory quotient; TEE, total energy expenditure; VH2O, water vapor.
When examining physical activity, no significant differences in total activity index, coarse activity index, fine activity index, and mean locomotion speed were observed between the 2 HPD- and CD-fed mouse groups (Supplemental Figure 2A–D). Similarly, under 24-h feed-deprived conditions, no significant difference was shown in the 2 groups of mice for physical activity, as measured by the total activity index, coarse activity index, fine activity index, and mean locomotion speed (Supplemental Figure 3A–D). Behavioral analysis performed by using the Promethion metabolic system showed a significantly lower interaction with the food hopper (significant food intake) in the HPD-fed group during the dark phase (time budget analysis, as a percentage of total time: 8.50% ± 1.40% compared with 13.40% ± 1.80%; P = 0.01) (Supplemental Figure 4A). However, no significant difference was observed between the 2 mouse groups, during both the light and dark phases, in the following analyzed behavioral variables: interaction with food hopper (no significant food intake), interaction with water hopper (significant water intake), interaction with water hopper (no significant water intake), and time in habitat, long lounge (period of inactivity >5 min), and short lounge (period of inactivity >5 min) (Supplemental Figure 4B–G).
Altered feed-deprived and postprandial plasma metabolic hormone concentrations.
In HPD-fed mice, in comparison to CD-fed mice, plasma concentrations of leptin, GLP-1, and glucagon hormones were significantly altered: HPD-fed mice had lower leptin during both feed-deprived (41.31 ± 11.60 compared with 3041 ± 683 pg/mL; P = 0.0004) and postprandial (112.5 ± 102.0 compared with 8273 ± 1415 pg/mL; P < 0.0001) conditions compared with CD-fed mice (Figure 5B). HPD-fed mice had significantly lower GLP-1 than CD-fed mice during feed-deprived (5.664 ± 1.44 compared with 21.31 ± 1.26 pg/mL; P = <0.0001) and postprandial (6.54 ± 2.13 compared with 50.62 ± 11.93 pg/mL; P = 0.0037) conditions (Figure 5D). In addition, postprandial glucagon concentrations were significantly higher in HPD-fed mice than in CD-fed mice (102.3 ± 35.8 compared with 30.99 ± 6.58 pg/mL; P = 0.043) (Figure 5E). Finally, the concentrations of active ghrelin, insulin, and PYY showed no significant differences between the 2 experimental mouse groups in either feed-deprived or postprandial conditions (Figure 5A, C, F).
FIGURE 5.
Orexigenic and anorexigenic metabolic plasma hormone analyses of active ghrelin (A), leptin (B), insulin (C), GLP-1 (D), glucagon (E), and PYY (F) plasma concentrations measured in either feed-deprived or postprandial conditions between HPD- and CD-fed mice. Values are means ± SEMs; HPD group, n = 8; CD group, n = 10. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. CD, control diet; GLP-1, glucagon-like peptide 1; HPD, high-protein diet; PYY, peptide YY.
Discussion
HPD treatments are largely used in humans to achieve body weight and fat mass loss and to maintain or increase muscle mass (1–6). HPD strategies are also frequently used in patients undergoing bariatric surgery to maintain lean body mass and to prevent weight gain (36). However, previously published studies reported that HPDs induce phenotypic effects in humans that are limited to an initial period of ∼6 mo, after which time the subjects regain body weight (15, 16). To our knowledge, the effects of long-term HPD treatments on energy intake, energy expenditure, physical activity, and metabolic hormones have never been evaluated. Consequently, we analyzed 2 different groups of age-matched mice that were fed an isocaloric HPD or CD for 12 wk to elucidate their metabolic responses to a long-term HPD regimen.
Our results showed that long-term HPD treatment induced an initial decrease in body weight and fat mass for only 2–6 wk, during which time the mice were observed to have a reduced energy intake while maintaining body lean mass. Several published studies (4, 7, 8, 11, 23, 32, 37–39) that used short-term HPD treatments also showed similar trends in body weight loss in rodents and in humans. Body lean mass was reported to be potentially preserved by elevated plasma concentrations of amino acids that could promote muscle growth and preservation (40–44). HPDs decreased muscle protein degradation in a murine model of muscular dystrophy (40) while increasing muscle endurance, especially after physical exercise, in humans (42, 44, 45). However, physical activity was not found to be increased in the HPD-fed mouse group as described previously (31). Earlier observations in HPD-fed rats suggested that the main determinant of reduced energy intake was poor palatability (46); however, these studies examined the effects of an HPD switch for only a few hours. Other rodent and dog studies that used flavor testing, behavioral satiety sequence, and taste reactivity showed that the reduced energy intake was due to a specific mechanism by which a protein meal enhances satiety and suppresses food intake (8, 10, 20, 22, 47).
Although previous studies examined calorimetry and energy expenditure in feed-deprived conditions by using a single HPD intake for up to a 24-h time interval (26–30), our study analyzed the long-term effects of an HPD. A continuous metabolic analysis in both ad libitum and feed-deprived conditions during a 48-h period showed lower TEE, thus suggesting that high protein intake lowers metabolic rate and reduces oxidation of carbohydrates, which is consistent with the lower carbohydrate intake (48, 49). The lower metabolic rate found in our HPD-fed mice was also correlated with decreased energy intake due to the satiating effect of an HPD. In several human clinical trials that used short-term high-protein interventions, an increase in energy expenditure of 0.8–22% was observed (26–30, 50, 51). These clinical studies indicated that a high protein intake increases thermogenesis and energy expenditure (50). However, these TEE increases were found only during the first 2 wk, whereas in a longer-term study of 6 wk, no significant differences were observed (52, 53). However, these human studies included only feed-deprived subjects who received a single high-protein meal and an analysis that lasted for intervals of only 30 min to 24 h (54). Kim et al. (31) showed in a 12-wk study in mice that energy expenditure was lower in the low-fat, high-protein diet group, even though the values did not reach significance. In our study, HPD-fed mice showed a reduced TEE, suggesting a metabolic adaptation response to the long-term HPD, which induced a reduction in energy intake as was shown in a rat model (51). We observed lower RQ values in the HPD-fed group in ad libitum feeding conditions. The lower RQ values observed in HPD-fed mice presumably reflect the lower carbohydrate content of the HPD used in this study than in the CD; this was verified by the similar RQ values observed in feed-deprived HPD- and CD-fed mice.
We observed a significant increase in total water intake and mean water intake in the HPD mouse group. HPDs are acidogenic and increase the production of ammonia solutes that are excreted with water (55, 56). Previous human studies have shown that an increase in water consumption can promote satiety, thus reducing energy intake and inducing body weight loss (57, 58). The increased water intake measured in the HPD-fed mice might be related to the elevated rates of urea and creatinine as postulated previously (59). Our results are in concordance with other studies performed in mice that reported similar increases in water consumption during an increase in dietary protein (60–62).
Dietary proteins have been shown to induce the release of anorexigenic and orexigenic hormones that modulate neuronal pathways involved in the regulation of appetite and satiety and that mediate the metabolic responses to nutrient availability (12). Our data show that key metabolic hormones, such as leptin, GLP-1, and glucagon, measured at study week 12, were significantly altered in HPD-fed mice compared with CD-fed mice in both feed-deprived and postprandial conditions. HPD-fed mice had significantly reduced leptin concentrations during both feed-deprived and postprandial conditions. Generally, plasma concentrations of leptin have been shown to be proportional to body fat mass, because leptin plays a major physiologic function in informing the central nervous system about the amount of energy that is stored to regulate satiety and energy expenditure (63–66). Schwarz et al. (32) also documented a similar decrease in plasma leptin after a 12-wk high-protein intake in mice, whereas significantly higher concentrations were reported in high-fat-diet–fed mice. In addition, Binder et al. (67) showed that a higher consumption of dietary protein leads to an increased sensitivity to leptin. Other studies that examined the effects of HPDs also reported lower plasma leptin concentrations (4, 9). Previous published data of 24-h studies in human subjects showed that an acute increase in oral protein intake leads to higher GLP-1 plasma concentrations (67–69). Although GLP-1 is considered to be an anorexigenic hormone, we observed significantly lower concentrations of GLP-1 in both feed-deprived and postprandial conditions in HPD-fed mice; therefore, it is unlikely that GLP-1 is involved in the reduction in food intake induced by an HPD. Interestingly, in our current study, plasma glucagon concentrations were significantly higher in HPD-fed mice only in postprandial conditions.
In conclusion, this study shows that a 12-wk HPD treatment significantly reduced energy intake, increased body lean mass, and altered the metabolic hormone profile in mice. HPD induced changes in body phenotype that were associated with a significant increase in satiety and water intake and a decrease in oxygen consumption, carbon dioxide production, RQ, and TEE. Furthermore, HPD-fed mice had significantly lower feed-deprived and postprandial leptin and GLP-1 concentrations, although postprandial glucagon concentrations were elevated. However, future studies are needed to elucidate the underlying mechanisms by which dietary proteins regulate oxygen consumption, carbon dioxide production, and energy expenditure. An analysis of the genes or transcriptome involved in lipid metabolism and adipogenesis could elucidate the mechanisms underlying the adjustment in energy expenditure leading to the enhanced lean mass phenotype observed in the HPD-fed mice throughout the study.
Acknowledgments
The authors’ responsibilities were as follows—JPV and LL: designed the research (project conception, development of overall research plan, and study oversight), conducted the research (hands-on conduct of the experiments and data collection), analyzed the data or performed the statistical analysis, wrote the manuscript, and had primary responsibility for the final content; WFP and SO: conducted the research (hands-on conduct of the experiments and data collection), analyzed the data or performed the statistical analysis, and provided essential reagents or essential materials; DS and AG: analyzed the data or performed the statistical analysis; JRBL: edited the metabolic measurement sections of the manuscript; JRP and PMG: designed the research (project conception, development of overall research plan, and study oversight), participated in writing the manuscript, and had primary responsibility for final content; and all authors: read and approved the final manuscript.
Footnotes
Abbreviations used: CD, control diet; GLP-1, glucagon-like peptide 1; HPD, high-protein diet; RQ, respiratory quotient; TEE, total energy expenditure; VH2O, water vapor.
References
- 1.Makris A, Foster GD. Dietary approaches to the treatment of obesity. Psychiatr Clin North Am 2011;34:813–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, McManus K, Champagne CM, Bishop LM, Laranjo N, et al. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med 2009;360:859–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Skov AR, Toubro S, Rønn B, Holm L, Astrup A. Randomized trial on protein vs carbohydrate in ad libitum fat reduced diet for the treatment of obesity. Int J Obes Relat Metab Disord 1999;23:528–36. [DOI] [PubMed] [Google Scholar]
- 4.Weigle DS, Breen PA, Matthys CC, Callahan HS, Meeuws KE, Burden VR, Purnell JQ. A high-protein diet induces sustained reductions in appetite, ad libitum caloric intake, and body weight despite compensatory changes in diurnal plasma leptin and ghrelin concentrations. Am J Clin Nutr 2005;82:41–8. [DOI] [PubMed] [Google Scholar]
- 5.Westerterp-Plantenga MS, Luscombe-Marsh N, Lejeune M, Diepvens K, Nieuwenhuizen A, Engelen MPKJ, Deutz NEP, Azzout-Marniche D, Tome D, Westerterp KR. Dietary protein, metabolism, and body-weight regulation: dose-response effects. Int J Obes 2006;30:S16–23. [Google Scholar]
- 6.Clifton P. Effects of a high protein diet on body weight and comorbidities associated with obesity. Br J Nutr 2012;108(Suppl 2):S122–9. [DOI] [PubMed] [Google Scholar]
- 7.Eisenstein J, Roberts SB, Dallal G, Saltzman E. High-protein weight-loss diets: are they safe and do they work? A review of the experimental and epidemiologic data. Nutr Rev 2002;60:189–200. [DOI] [PubMed] [Google Scholar]
- 8.Bensaïd A, Tomé D, L’Heureux-Bourdon D, Even P, Gietzen D, Morens C, Gaudichon C, Larue-Achagiotis C, Fromentin G. A high-protein diet enhances satiety without conditioned taste aversion in the rat. Physiol Behav 2003;78:311–20. [DOI] [PubMed] [Google Scholar]
- 9.Stengel A, Goebel-Stengel M, Wang L, Hu E, Karasawa H, Pisegna JR, Taché Y. High-protein diet selectively reduces fat mass and improves glucose tolerance in Western-type diet-induced obese rats. Am J Physiol Regul Integr Comp Physiol 2013;305:R582–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bensaïd A, Tomé D, Gietzen D, Even P, Morens C, Gausseres N, Fromentin G. Protein is more potent than carbohydrate for reducing appetite in rats. Physiol Behav 2002;75:577–82. [DOI] [PubMed] [Google Scholar]
- 11.Jean C, Rome S, Mathé V, Huneau JF, Aattouri N, Fromentin G, Achagiotis CL, Tomé D. Metabolic evidence for adaptation to a high protein diet in rats. J Nutr 2001;131:91–8. [DOI] [PubMed] [Google Scholar]
- 12.Potier M, Darcel N, Tomé D. Protein, amino acids and the control of food intake. Curr Opin Clin Nutr Metab Care 2009;12:54–8. [DOI] [PubMed] [Google Scholar]
- 13.van der Klaauw AA, Keogh JM, Henning E, Trowse VM, Dhillo WS, Ghatei MA, Farooqi IS. High protein intake stimulates postprandial GLP1 and PYY release. Obesity (Silver Spring) 2013;21:1602–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lejeune MP, Westerterp KR, Adam TC, Luscombe-Marsh ND, Westerterp-Plantenga MS. Ghrelin and glucagon-like peptide 1 concentrations, 24-h satiety, and energy and substrate metabolism during a high-protein diet and measured in a respiration chamber. Am J Clin Nutr 2006;83:89–94. [DOI] [PubMed] [Google Scholar]
- 15.Shai I, Schwarzfuchs D, Henkin Y, Shahar DR, Witkow S, Greenberg I, Golan R, Fraser D, Bolotin A, Vardi H, et al. ; Dietary Intervention Randomized Controlled Trial (DIRECT) Group . Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med 2008;359:229–41. [DOI] [PubMed] [Google Scholar]
- 16.Greenberg I, Stampfer MJ, Schwarzfuchs D, Shai I; Dietary Intervention Randomized Controlled Trial (DIRECT) Group . Adherence and success in long-term weight loss diets: the dietary intervention randomized controlled trial (DIRECT). J Am Coll Nutr 2009;28:159–68. [DOI] [PubMed] [Google Scholar]
- 17.Larsen RN, Mann NJ, Maclean E, Shaw JE. The effect of high-protein, low-carbohydrate diets in the treatment of type 2 diabetes: a 12 month randomised controlled trial. Diabetologia 2011;54:731–40. [DOI] [PubMed] [Google Scholar]
- 18.Clifton PM, Keogh JB, Noakes M. Long-term effects of a high-protein weight-loss diet. Am J Clin Nutr 2008;87:23–9. [DOI] [PubMed] [Google Scholar]
- 19.McAuley KA, Smith KJ, Taylor RW, McLay RT, Williams SM, Mann JI. Long-term effects of popular dietary approaches on weight loss and features of insulin resistance. Int J Obes (Lond) 2006;30:342–9. [DOI] [PubMed] [Google Scholar]
- 20.L’Heureux-Bouron D, Tomé D, Bensaid A, Morens C, Gaudichon C, Fromentin G. A very high 70%-protein diet does not induce conditioned taste aversion in rats. J Nutr 2004;134:1512–5. [DOI] [PubMed] [Google Scholar]
- 21.L’Heureux-Bouron D, Tome D, Rampin O, Even PC, Larue-Achagiotis C, Fromentin G. Total subdiaphragmatic vagotomy does not suppress high protein diet-induced food intake depression in rats. J Nutr 2003;133:2639–42. [DOI] [PubMed] [Google Scholar]
- 22.Faipoux R, Tome D, Gougis S, Darcel N, Fromentin G. Proteins activate satiety-related neuronal pathways in the brainstem and hypothalamus of rats. J Nutr 2008;138:1172–8. [DOI] [PubMed] [Google Scholar]
- 23.Blouet C, Mariotti F, Azzout-Marniche D, Bos C, Mathe V, Tome D, Huneau JF. The reduced energy intake of rats fed a high-protein low-carbohydrate diet explains the lower fat deposition, but macronutrient substitution accounts for the improved glycemic control. J Nutr 2006;136:1849–54. [DOI] [PubMed] [Google Scholar]
- 24.Stubbs RJ, Harbron CG, Murgatroyd PR, Prentice AM. Covert manipulation of dietary fat and energy density: effect on substrate flux and food intake in men eating ad libitum. Am J Clin Nutr 1995;62:316–29. [DOI] [PubMed] [Google Scholar]
- 25.Bjursell M, Gerdin AK, Lelliott CJ, Egecioglu E, Elmgren A, Törnell J, Oscarsson J, Bohlooly-Y M. Acutely reduced locomotor activity is a major contributor to Western diet-induced obesity in mice. Am J Physiol Endocrinol Metab 2008;294:E251–60. [DOI] [PubMed] [Google Scholar]
- 26.Whitehead JM, McNeill G, Smith JS. The effect of protein intake on 24-h energy expenditure during energy restriction. Int J Obes Relat Metab Disord 1996;20:727–32. [PubMed] [Google Scholar]
- 27.Mikkelsen PB, Toubro S, Astrup A. Effect of fat-reduced diets on 24-h energy expenditure: comparisons between animal protein, vegetable protein, and carbohydrate. Am J Clin Nutr 2000;72:1135–41. [DOI] [PubMed] [Google Scholar]
- 28.Westerterp-Plantenga MS, Rolland V, Wilson SA, Westerterp KR. Satiety related to 24 h diet-induced thermogenesis during high protein/carbohydrate vs high fat diets measured in a respiration chamber. Eur J Clin Nutr 1999;53:495–502. [DOI] [PubMed] [Google Scholar]
- 29.Soenen S, Martens EA, Hochstenbach-Waelen A, Lemmens SG, Westerterp-Plantenga MS. Normal protein intake is required for body weight loss and weight maintenance, and elevated protein intake for additional preservation of resting energy expenditure and fat free mass. J Nutr 2013;143:591–6. [DOI] [PubMed] [Google Scholar]
- 30.Bray GA, Redman LM, de Jonge L, Covington J, Rood J, Brock C, Mancuso S, Martin CK, Smith SR. Effect of protein overfeeding on energy expenditure measured in a metabolic chamber. Am J Clin Nutr 2015;101:496–505. [DOI] [PubMed] [Google Scholar]
- 31.Kim JH, Park Y, Kim D, Park Y. Dietary influences on nonexercise physical activity and energy expenditure in C57BL/6J mice. J Food Sci 2012;77:H63–8. [DOI] [PubMed] [Google Scholar]
- 32.Schwarz J, Tomé D, Baars A, Hooiveld GJ, Müller M. Dietary protein affects gene expression and prevents lipid accumulation in the liver in mice. PLoS One 2012;7:e47303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Vu JP, Goyal D, Luong L, Oh S, Sandhu R, Norris J, Parsons W, Pisegna JR, Germano PM. PACAP intraperitoneal treatment suppresses appetite and food intake via PAC1 receptor in mice by inhibiting ghrelin and increasing GLP-1 and leptin. Am J Physiol Gastrointest Liver Physiol 2015;309:G816–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Morton GJ, Thatcher BS, Reidelberger RD, Ogimoto K, Wolden-Hanson T, Baskin DG, Schwartz MW, Blevins JE. Peripheral oxytocin suppresses food intake and causes weight loss in diet-induced obese rats. Am J Physiol Endocrinol Metab 2012;302:E134–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lighton JRB. Measuring metabolic rates: a manual for scientists. 1st ed. New York: Oxford University Press; 2008. [Google Scholar]
- 36.Heber D, Greenway FL, Kaplan LM, Livingston E, Salvador J, Still C; Endocrine Society . Endocrine and nutritional management of the post-bariatric surgery patient: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2010;95:4823–43. [DOI] [PubMed] [Google Scholar]
- 37.Blair AR, Strube ML, Proietto J, Andrikopoulos S. Improving glucose tolerance by reducing weight gain in a polygenic obese mouse model: use of a high protein diet. Horm Metab Res 2015;47:184–93. [DOI] [PubMed] [Google Scholar]
- 38.Okuda T, Morita N. A very low carbohydrate ketogenic diet prevents the progression of hepatic steatosis caused by hyperglycemia in a juvenile obese mouse model. Nutr Diabetes 2012;2:e50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Garcia-Caraballo SC, Comhair TM, Verheyen F, Gaemers I, Schaap FG, Houten SM, Hakvoort TB, Dejong CH, Lamers WH, Koehler SE. Prevention and reversal of hepatic steatosis with a high-protein diet in mice. Biochim Biophys Acta 2013;1832:685–95. [DOI] [PubMed] [Google Scholar]
- 40.Towle HC, Kaytor EN, Shih HM. Regulation of the expression of lipogenic enzyme genes by carbohydrate. Annu Rev Nutr 1997;17:405–33. [DOI] [PubMed] [Google Scholar]
- 41.Pichon L, Huneau JF, Fromentin G, Tomé D. A high-protein, high-fat, carbohydrate-free diet reduces energy intake, hepatic lipogenesis, and adiposity in rats. J Nutr 2006;136:1256–60. [DOI] [PubMed] [Google Scholar]
- 42.Zdanowicz MM, Slonim AE, Bilaniuk I, O’Connor MM, Moyse J, Teichberg S. High protein diet has beneficial effects in murine muscular dystrophy. J Nutr 1995;125:1150–8. [DOI] [PubMed] [Google Scholar]
- 43.Sul HS, Wang D. Nutritional and hormonal regulation of enzymes in fat synthesis: studies of fatty acid synthase and mitochondrial glycerol-3-phosphate acyltransferase gene transcription. Annu Rev Nutr 1998;18:331–51. [DOI] [PubMed] [Google Scholar]
- 44.Bilsborough S, Mann N. A review of issues of dietary protein intake in humans. Int J Sport Nutr Exerc Metab 2006;16:129–52. [DOI] [PubMed] [Google Scholar]
- 45.Freudenberg A, Petzke KJ, Klaus S. Comparison of high-protein diets and leucine supplementation in the prevention of metabolic syndrome and related disorders in mice. J Nutr Biochem 2012;23:1524–30. [DOI] [PubMed] [Google Scholar]
- 46.McArthur LH, Kelly WF, Gietzen DW, Rogers QR. The role of palatability in the food intake response of rats fed high-protein diets. Appetite 1993;20:181–96. [DOI] [PubMed] [Google Scholar]
- 47.Lacroix M, Gaudichon C, Martin A, Morens C, Mathé V, Tomé D, Huneau JF. A long-term high-protein diet markedly reduces adipose tissue without major side effects in Wistar male rats. Am J Physiol Regul Integr Comp Physiol 2004;287:R934–42. [DOI] [PubMed] [Google Scholar]
- 48.Noatsch A, Petzke KJ, Millrose MK, Klaus S. Body weight and energy homeostasis was not affected in C57BL/6 mice fed high whey protein or leucine-supplemented low-fat diets. Eur J Nutr 2011;50:479–88. [DOI] [PubMed] [Google Scholar]
- 49.Klaus S. Increasing the protein:carbohydrate ratio in a high-fat diet delays the development of adiposity and improves glucose homeostasis in mice. J Nutr 2005;135:1854–8. [DOI] [PubMed] [Google Scholar]
- 50.Halton TL, Hu FB. The effects of high protein diets on thermogenesis, satiety and weight loss: a critical review. J Am Coll Nutr 2004;23:373–85. [DOI] [PubMed] [Google Scholar]
- 51.Stepien M, Gaudichon C, Fromentin G, Even P, Tomé D, Azzout-Marniche D. Increasing protein at the expense of carbohydrate in the diet down-regulates glucose utilization as glucose sparing effect in rats. PLoS One 2011;6:e14664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Bray GA, Smith SR, de Jonge L, Xie H, Rood J, Martin CK, Most M, Brock C, Mancuso S, Redman LM. Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial. JAMA 2012;307:47–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Luscombe ND, Clifton PM, Noakes M, Farnsworth E, Wittert G. Effect of a high-protein, energy-restricted diet on weight loss and energy expenditure after weight stabilization in hyperinsulinemic subjects. Int J Obes Relat Metab Disord 2003;27:582–90. [DOI] [PubMed] [Google Scholar]
- 54.Verboeket-van de Venne WP, Westerterp KR. Influence of the feeding frequency on nutrient utilization in man: consequences for energy metabolism. Eur J Clin Nutr 1991;45:161–9. [PubMed] [Google Scholar]
- 55.Friedman AN. High-protein diets: potential effects on the kidney in renal health and disease. Am J Kidney Dis 2004;44:950–62. [DOI] [PubMed] [Google Scholar]
- 56.King AJ, Levey AS. Dietary protein and renal function. J Am Soc Nephrol 1993;3:1723–37. [DOI] [PubMed] [Google Scholar]
- 57.Davy BM, Dennis EA, Dengo AL, Wilson KL, Davy KP. Water consumption reduces energy intake at a breakfast meal in obese older adults. J Am Diet Assoc 2008;108:1236–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Stookey JD, Constant F, Popkin BM, Gardner CD. Drinking water is associated with weight loss in overweight dieting women independent of diet and activity. Obesity (Silver Spring) 2008;16:2481–8. [DOI] [PubMed] [Google Scholar]
- 59.Young VR, El-Khoury AE, Raguso CA, Forslund AH, Hambraeus L. Rates of urea production and hydrolysis and leucine oxidation change linearly over widely varying protein intakes in healthy adults. J Nutr 2000;130:761–6. [DOI] [PubMed] [Google Scholar]
- 60.Shertzer HG, Woods SE, Krishan M, Genter MB, Pearson KJ. Dietary whey protein lowers the risk for metabolic disease in mice fed a high-fat diet. J Nutr 2011;141:582–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Petzke KJ, Freudenberg A, Klaus S. Beyond the role of dietary protein and amino acids in the prevention of diet-induced obesity. Int J Mol Sci 2014;15:1374–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Martin WF, Armstrong LE, Rodriguez NR. Dietary protein intake and renal function. Nutr Metab (Lond) 2005;2:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Bado A, Levasseur S, Attoub S, Kermorgant S, Laigneau JP, Bortoluzzi MN, Moizo L, Lehy T, Guerre-Millo M, Le Marchand-Brustel Y, et al. The stomach is a source of leptin. Nature 1998;394:790–3. [DOI] [PubMed] [Google Scholar]
- 64.Friedman JM, Halaas JL. Leptin and the regulation of body weight in mammals. Nature 1998;395:763–70. [DOI] [PubMed] [Google Scholar]
- 65.Maffei M, Halaas J, Ravussin E, Pratley RE, Lee GH, Zhang Y, Fei H, Kim S, Lallone R, Ranganathan S. Leptin levels in human and rodent: measurement of plasma leptin and ob RNA in obese and weight-reduced subjects. Nat Med 1995;1:1155–61. [DOI] [PubMed] [Google Scholar]
- 66.Considine RV, Sinha MK, Heiman ML, Kriauciunas A, Stephens TW, Nyce MR, Ohannesian JP, Marco CC, McKee LJ, Bauer TL. Serum immunoreactive-leptin concentrations in normal-weight and obese humans. N Engl J Med 1996;334:292–5. [DOI] [PubMed] [Google Scholar]
- 67.Binder E, Bermúdez-Silva FJ, Elie M, Leste-Lasserre T, Belluomo I, Clark S, Duchampt A, Mithieux G, Cota D. Leucine supplementation modulates fuel substrates utilization and glucose metabolism in previously obese mice. Obesity (Silver Spring) 2014;22:713–20. [DOI] [PubMed] [Google Scholar]
- 68.Kjems LL, Holst JJ, Vølund A, Madsbad S. The influence of GLP-1 on glucose-stimulated insulin secretion: effects on beta-cell sensitivity in type 2 and nondiabetic subjects. Diabetes 2003;52:380–6. [DOI] [PubMed] [Google Scholar]
- 69.van der Klaauw AA, Keogh JM, Henning E, Trowse VM, Dhillo WS, Ghatei MA, Farooqi IS. High protein intake stimulates postprandial GLP1 and PYY release. Obesity (Silver Spring) 2013;21:1602–7. [DOI] [PMC free article] [PubMed] [Google Scholar]





