Acute effects of oral preloads with increasing energy density on gastric emptying, gut hormone release, thermogenesis and energy intake, in overweight and obese men

This study investigated the effect of high-and low-energy density preloads on gastrointestinal and metabolic factors, which act to regulate acute energy intake. Sixteen overweight and obese men (BMI range: 27.2-36.5 kg/m^2) each received 3 oral preloads in randomised order: i) high-energy-density, high-fat (1.5 kcal/g), ii) low-energydensity, high-fat (1.1 kcal/g), and iii) low-energy-density, high-protein (1.1 kcal/g). Over 180 min, gastric emptying, plasma glucagon-like peptide-1 concentrations, and diet-induced thermogenesis were assessed, and subsequent energy intake was determined. Total energy intake did not differ between preloads (high-energy-density, high-fat, 2059±72 kilocalories (kcal); low-energy-density, high-fat, 1876±91 kcal; and low-energy-density, highprotein, 1867±63 kcal). Gastric emptying was slower following the high-energy-density, high-fat preload (158±8 min) compared with the low-energy-density, high-protein preload (130±9 min) (p=0.05), but did not differ between the high-energy-density, high-fat and low-energy-density, high-fat (147±8 min) preloads. Plasma glucagon-like peptide-1 did not differ substantially between preloads. Diet-induced thermogenesis was lower following high-energy-density, high-fat (10.4±0.7 %) than low-energy-density, high-fat (14.9±1.2 %) and low-energydensity, high-protein (18.1±1.1 %) preloads (p<0.01 for both). We conclude that an increased energy density slows gastric emptying and reduces thermogenesis, but that a high fat content overrides the effect of energy density on gastric emptying. The counter-regulatory modulation of these gastric and metabolic factors may explain, at least in part, the lack of differences in subsequent energy intake in response to oral preloads with increasing energy density.Natalie D Luscombe-Marsh ； Radhika V Seimon ； Erin Bollmeyer ； Judith M Wishart ； Gary A Wittert ； Michael Horowitz ； Max Bellon ； Christine Feinle-Bisse

Large-eddy simulations over Germany using ICON: a comprehensive evaluation

Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) covering Germany are evaluated for four days in spring 2013 using observational data from various sources. Reference simulations with the established Consortium for Small-scale Modelling (COSMO) numerical weather prediction model and further standard LES codes are performed and used as a reference. This comprehensive evaluation approach covers multiple parameters and scales, focusing on boundary-layer variables, clouds and precipitation. The evaluation points to the need to work on parametrizations influencing the surface energy balance, and possibly on ice cloud microphysics. The central purpose for the development and application of ICON in the LES configuration is the use of simulation results to improve the understanding of moist processes, as well as their parametrization in climate models. The evaluation thus aims at building confidence in the model's ability to simulate small- to mesoscale variability in turbulence, clouds and precipitation. The results are encouraging: the high-resolution model matches the observed variability much better at small- to mesoscales than the coarser resolved reference model. In its highest grid resolution, the simulated turbulence profiles are realistic and column water vapour matches the observed temporal variability at short time-scales. Despite being somewhat too large and too frequent, small cumulus clouds are well represented in comparison with satellite data, as is the shape of the cloud size spectrum. Variability of cloud water matches the satellite observations much better in ICON than in the reference model. In this sense, it is concluded that the model is fit for the purpose of using its output for parametrization development, despite the potential to improve further some important aspects of processes that are also parametrized in the high-resolution model