Postprandial thermogenesis at rest and during exercise in elderly men ingesting two levels of protein

Protein choices targeting thermogenesis and metabolism

BACKGROUND

Dietary proteins stimulate thermogenesis and satiety more than does carbohydrate or fat; however, less is known about the differences between protein sources.

OBJECTIVE

The objective was to determine the differential effects of 3 proteins on energy metabolism, satiety, and glucose control.

DESIGN

Energy metabolism, satiety, and glucose control were measured in 23 lean, healthy subjects on separate occasions, before and 5.5 h after consumption of 4 isocaloric test meals in a randomized, double-blind, crossover design. Three meals consisting of 50% protein (whey, casein, or soy), 40% carbohydrate, and 10% fat and a fourth meal consisting of 95.5% carbohydrate were compared with a glucose meal that provided the same glucose load as the protein meals.

RESULTS

The thermic effect was greater after the whey (14.4 ± 0.5%) than after the casein (12.0 ± 0.6%; P = 0.002) and soy (11.6 ± 0.5%; P = 0.0001) meals and was greater after the whey, casein, and soy meals than after the high-carbohydrate meal (6.6 ± 0.5%; P < 0.0001). Cumulative fat oxidation tended to be greater after the whey meal (16.2 ± 1.1 g) than after the soy meal (13.7 ± 1.0 g; P = 0.097) and was greater after the whey and soy meals than after the high-carbohydrate meal (10.9 ± 0.9 g; P < 0.05). The glycemic response to glucose was attenuated 32% by the proteins (P < 0.001) at the expense of a greater insulin response after whey than after glucose (154%; P = 0.02), casein (143%; P = 0.07), and soy (151%; P = 0.03). Subjective appetite sensations indicated that casein and soy were more satiating than whey (P < 0.01), but whey was more "liked" compared with casein and soy (P = 0.025 and P = 0.09, respectively).

CONCLUSION

The results suggest that different protein sources could be used to modulate metabolism and subsequently energy balance.

The effects of high protein diets on thermogenesis, satiety and weight loss: a critical review

For years, proponents of some fad diets have claimed that higher amounts of protein facilitate weight loss. Only in recent years have studies begun to examine the effects of high protein diets on energy expenditure, subsequent energy intake and weight loss as compared to lower protein diets. In this study, we conducted a systematic review of randomized investigations on the effects of high protein diets on dietary thermogenesis, satiety, body weight and fat loss. There is convincing evidence that a higher protein intake increases thermogenesis and satiety compared to diets of lower protein content. The weight of evidence also suggests that high protein meals lead to a reduced subsequent energy intake. Some evidence suggests that diets higher in protein result in an increased weight loss and fat loss as compared to diets lower in protein, but findings have not been consistent. In dietary practice, it may be beneficial to partially replace refined carbohydrate with protein sources that are low in saturated fat. Although recent evidence supports potential benefit, rigorous longer-term studies are needed to investigate the effects of high protein diets on weight loss and weight maintenance.

Added thermogenic and satiety effects of a mixed nutrient vs a sugar-only beverage

OBJECTIVE

To examine the effects of a sugar-only (SO) beverage vs one containing a mixed-nutrient (MN) composition on energy expenditure and feelings of hunger and satiety.

HYPOTHESIS

A beverage containing a mixed macronutrient composition will lead to greater thermic effect of food and feelings of fullness than an isocaloric beverage containing only sugar.

RESEARCH METHODS AND PROCEDURES

Adults were randomly assigned to receive a 2510 kJ (600 kcal) SO liquid formula followed by an isovolumic, isoenergetic, MN liquid formula with an energy distribution of 17% protein, 67% carbohydrates as sucrose and corn syrup solids, and 16% fat, or vice versa, in a crossover design. The carbohydrate source in the two beverages was identical: 1:1 ratio of sucrose and corn syrup solids (25 dextrose equivalents). The thermic response was calculated as the 7 h deviation from resting metabolic rate (RMR). Subjects provided hunger/satiety ratings and other related information by visual analog scales at regular intervals throughout the study period.

RESULTS

In all, 20 subjects completed the protocol; one was removed from the thermic effect analysis due to discrepant RMRs. Following beverage ingestion, SO and MN liquid meals produced 7 h thermic effects of (X+/-s.e.m.) 274.1+/-27.6 kJ (65.5+/-6.6 kcal) and 372.0+/-33.9 kJ (88.9+/-8.1 kcal), respectively, resulting in a significant (P<0.01) difference between meals (Delta=97.9+/-35.1 kJ [23.4+/-8.4 kcal]). Analysis of satiety ratings using area under the curve analysis showed greater feelings of satiety (P<0.05) with MN compared to SO consumption. Also, subjects felt that they could eat less (P<0.05) after consumption of the MN vs SO beverage.

DISCUSSION

In comparison to MN beverages, SO beverages are associated with a relatively high-energy retention without accompanying subjective hunger/fullness compensations, suggesting a basis for their role in long-term unintentional weight gain in healthy adults.

Postprandial thermogenesis is increased 100% on a high-protein, low-fat diet versus a high-carbohydrate, low-fat diet in healthy, young women

OBJECTIVE

The recent literature suggests that high-protein, low-fat diets promote a greater degree of weight loss compared to high-carbohydrate, low-fat diets, but the mechanism of this enhanced weight loss is unclear. This study compared the acute, energy-cost of meal-induced thermogenesis on a high-protein, low-fat diet versus a high-carbohydrate, low-fat diet.

METHODS

Ten healthy, normal weight, non-smoking female volunteers aged 19-22 years were recruited from a campus population. Using a randomized, cross-over design, subjects consumed the high-protein and the high-carbohydrate diets for one day each, and testing was separated by a 28- or 56-day interval. Control diets were consumed for two days prior to each test day. On test day, the resting energy expenditure, the non-protein respiratory quotient and body temperature were measured following a 10-hour fast and at 2.5-hour post breakfast, lunch and dinner. Fasting blood samples were collected test day and the next morning, and complete 24-hour urine samples were collected the day of testing.

RESULTS

Postprandial thermogenesis at 2.5 hours post-meal averaged about twofold higher on the high protein diet versus the high carbohydrate diet, and differences were significant after the breakfast and the dinner meals (p < 0.05). Body temperature was slightly higher on the high protein diet (p = 0.08 after the dinner meal). Changes in the respiratory quotient post-meals did not differ by diet, and there was no difference in 24-hour glomerular filtration rates by diet. Nitrogen balance was significantly greater on the high-protein diet compared to the high-carbohydrate diet (7.6 +/- 0.9 and -0.4 +/- 0.5 gN/day, p < 0.05), and at 24-hour post-intervention, fasting plasma urea nitrogen concentrations were raised on the high protein diet versus the high-carbohydrate diet (13.9 +/- 0.9 and 11.2 +/- 1.0 mg/dL respectively, p < 0.05).

CONCLUSIONS

These data indicate an added energy-cost associated with high-protein, low-fat diets and may help explain the efficacy of such diets for weight loss.

[Energy metabolism in the elderly]

The energy metabolism in elderly subjects is discussed on the basis of previous analyses of the influence of age on the three components of energy expenditure in man: basal metabolic rate, thermogenesis and physical activity. All three components are diminished in elderly people. We conclude that the modifications of body composition, in particular the age-related loss of lean body mass, result in decreased basal metabolic rate and probably also a blunted diet-induced thermogenesis. Moreover we emphasize that the decrease in physical activity observed in elderly people is the most likely causal factor.