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This study evaluated appetite and glycemic effects of egg-based breakfasts, containing high and moderate protein (30 g protein and 20 g protein +7 g fiber, respectively) compared to a low-protein cereal breakfast (10 g protein) examined in healthy adults (N = 48; age 24 ± 1 yr; BMI 23 ± 1 kg/m(2); mean ± SE). Meals provided 390 kcal/serving and equal fat content. Food intake was measured at an ad libitum lunch meal and blood glucose response was measured. Visual analog scales (VAS) were used to assess hunger, satisfaction, fullness, and prospective food intake. The egg-based breakfast meal with high protein produced greater overall satiety (p < 0.0001), and both high protein and moderate protein with fiber egg-based breakfasts reduced postprandial glycemic response (p < 0.005) and food intake (p < 0.05) at subsequent meal (by 135 kcal and 69 kcal; effect sizes 0.44 and 0.23, respectively) compared to a cereal-based breakfast with low protein and fiber.

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This report summarises a workshop convened by ILSI Europe on 3 and 4 April 2017 to discuss the issue of dietary sweetness. The objectives were to understand the roles of sweetness in the diet, establish whether exposure to sweetness affects diet quality and energy intake, and consider whether sweetness per se affects health. Although there may be evidence for tracking of intake of some sweet components of the diet through childhood, evidence for tracking of whole diet sweetness, or through other stages of maturity are lacking. The evidence to date does not support adverse effects of sweetness on diet quality or energy intake, except where sweet food choices increase intake of free sugars. There is some evidence for improvements in diet quality and reduced energy intake where sweetness without calories replaces sweetness with calories. There is a need to understand the physiological and metabolic relevance of sweet taste receptors on the tongue, in the gut and elsewhere in the body, as well as possible differentiation in the effects of sustained consumption of individual sweeteners. Despite a plethora of studies, there is no consistent evidence for an association of sweetness sensitivity/preference with obesity or type 2 diabetes. A multifaceted integrated approach, characterising nutritive and sensory aspects of the whole diet or dietary patterns, may be more valuable in providing contextual insight. The outcomes of the workshop could be used as a scientific basis to inform the expert community and create more useful dialogue among health care professionals.

ABSTRACT Background The composition of diets consumed following weight loss (WL) can have a significant impact on satiety and metabolic health. Objective This study was designed to test the effects of including a nondigestible carbohydrate to achieve weight maintenance (WM) following a period of WL. Methods Nineteen volunteers [11 females and 8 males, aged 20–62 y; BMI (kg/m2): 27–42] consumed a 3-d maintenance diet (15%:30%:55%), followed by a 21-d WL diet (WL; 30%:30%:40%), followed by 2 randomized 10-d WM diets (20%:30%:50% of energy from protein:fat:carbohydrate) containing either resistant starch type 3 (RS-WM; 22 or 26 g/d for females and males, respectively) or no RS (C-WM) in a within-subject crossover design without washout periods. The primary outcome, WM after WL, was analyzed by body weight. Secondary outcomes of fecal microbiota composition and microbial metabolite concentrations and gut hormones were analyzed in fecal samples and blood plasma, respectively. All outcomes were assessed at the end of each dietary period. Results Body weight was similar after the RS-WM and C-WM diets (90.7 and 90.8 kg, respectively), with no difference in subjectively rated appetite. During the WL diet period plasma ghrelin increased by 36% (P &lt; 0.001), glucose-dependent insulinotropic polypeptide (GIP) decreased by 33% (P &lt; 0.001), and insulin decreased by 46% (P &lt; 0.001), but no significant differences were observed during the RS-WM and C-WM diet periods. Fasting blood glucose was lower after the RS-WM diet (5.59 ± 0.31 mmol/L) than after the C-WM diet [5.75 ± 0.49 mmol/L; P = 0.015; standard error of the difference between the means (SED): 0.09]. Dietary treatments influenced the fecal microbiota composition (R2 = 0.054, P = 0.031) but not diversity. Conclusions The metabolic benefits, for overweight adults, from WL were maintained through a subsequent WM diet with higher total carbohydrate intake. Inclusion of resistant starch in the WM diet altered gut microbiota composition positively and resulted in lower fasting glucose compared with the control, with no apparent change in appetite. This trial was registered at clinicaltrials.gov as NCT01724411.