Dystropathology increases energy expenditure and protein turnover in the mdx mouse model of Duchenne muscular dystrophy

The skeletal muscles in Duchenne muscular dystrophy and the mdx mouse model lack functional dystrophin and undergo repeated bouts of necrosis, regeneration, and growth. These processes have a high metabolic cost. However, the consequences for whole body energy and protein metabolism, and on the dietary requirements for these macronutrients at different stages of the disease, are not well-understood. This study used juvenile (4- to 5- wk-old) and adult (12- to 14-wk-old) male dystrophic C57BL/10ScSn-mdx/J and age-matched C57BL/10ScSn/J control male mice to measure total and resting energy expenditure, food intake, spontaneous activity, body composition, whole body protein turnover, and muscle protein synthesis rates. In juvenile mdx mice that have extensive muscle damage, energy expenditure, muscle protein synthesis, and whole body protein turnover rates were higher than in age-matched controls. Adaptations in food intake and decreased activity were insufficient to meet the increased energy and protein needs of juvenile mdx mice and resulted in stunted growth. In (non-growing) adult mdx mice with less severe dystropathology, energy expenditure, muscle protein synthesis, and whole body protein turnover rates were also higher than in age-matched controls. Food intake was sufficient to meet their protein and energy needs, but insufficient to result in fat deposition. These data show that dystropathology impacts the protein and energy needs of mdx mice and that tailored dietary interventions are necessary to redress this imbalance. If not met, the resultant imbalance blunts growth, and may limit the benefits of therapies designed to protect and repair dystrophic muscles

Ablations of Ghrelin and Ghrelin Receptor Exhibit Differential Metabolic Phenotypes and Thermogenic Capacity during Aging

mice are adaptive. mice.Our data therefore suggest that GHS-R ablation activates adaptive thermogenic function(s) in BAT and increases EE, thereby enabling the retention of a lean phenotype. This is the first direct evidence that the ghrelin signaling pathway regulates fat-burning BAT to affect energy balance during aging. This regulation is likely mediated through an as-yet-unidentified new ligand of GHS-R

Myogenin Regulates Exercise Capacity and Skeletal Muscle Metabolism in the Adult Mouse

Although skeletal muscle metabolism is a well-studied physiological process, little is known about how it is regulated at the transcriptional level. The myogenic transcription factor myogenin is required for skeletal muscle development during embryonic and fetal life, but myogenin's role in adult skeletal muscle is unclear. We sought to determine myogenin's function in adult muscle metabolism. A Myog conditional allele and Cre-ER transgene were used to delete Myog in adult mice. Mice were analyzed for exercise capacity by involuntary treadmill running. To assess oxidative and glycolytic metabolism, we performed indirect calorimetry, monitored blood glucose and lactate levels, and performed histochemical analyses on muscle fibers. Surprisingly, we found that Myog-deleted mice performed significantly better than controls in high- and low-intensity treadmill running. This enhanced exercise capacity was due to more efficient oxidative metabolism during low- and high-intensity exercise and more efficient glycolytic metabolism during high-intensity exercise. Furthermore, Myog-deleted mice had an enhanced response to long-term voluntary exercise training on running wheels. We identified several candidate genes whose expression was altered in exercise-stressed muscle of mice lacking myogenin. The results suggest that myogenin plays a critical role as a high-level transcriptional regulator to control the energy balance between aerobic and anaerobic metabolism in adult skeletal muscle

Litter Size Variation in Hypothalamic Gene Expression Determines Adult Metabolic Phenotype in Brandt's Voles (Lasiopodomys brandtii)

Early postnatal environments may have long-term and potentially irreversible consequences on hypothalamic neurons involved in energy homeostasis. Litter size is an important life history trait and negatively correlated with milk intake in small mammals, and thus has been regarded as a naturally varying feature of the early developmental environment. Here we investigated the long-term effects of litter size on metabolic phenotype and hypothalamic neuropeptide mRNA expression involved in the regulation of energy homeostasis, using the offspring reared from large (10-12) and small (3-4) litter sizes, of Brandt's voles (Lasiopodomys brandtii), a rodent species from Inner Mongolia grassland in China.Hypothalamic leptin signaling and neuropeptides were measured by Real-Time PCR. We showed that offspring reared from small litters were heavier at weaning and also in adulthood than offspring from large litters, accompanied by increased food intake during development. There were no significant differences in serum leptin levels or leptin receptor (OB-Rb) mRNA in the hypothalamus at weaning or in adulthood, however, hypothalamic suppressor of cytokine signaling 3 (SOCS3) mRNA in adulthood increased in small litters compared to that in large litters. As a result, the agouti-related peptide (AgRP) mRNA increased in the offspring from small litters.These findings support our hypothesis that natural litter size has a permanent effect on offspring metabolic phenotype and hypothalamic neuropeptide expression, and suggest central leptin resistance and the resultant increase in AgRP expression may be a fundamental mechanism underlying hyperphagia and the increased risk of overweight in pups of small litters. Thus, we conclude that litter size may be an important and central determinant of metabolic fitness in adulthood

Anthropometry‐based prediction of body composition in early infancy compared to air‐displacement plethysmography

Funder: Danone Nutricia ResearchFunder: EU Commission for JPI HDHL program ‘Call III Biomarkers’ for project: BioFN ‐ Biomarkers for Infant Fat Mass Development and Nutrition; Grant(s): 696295Summary: Background: Anthropometry‐based equations are commonly used to estimate infant body composition. However, existing equations were designed for newborns or adolescents. We aimed to (a) derive new prediction equations in infancy against air‐displacement plethysmography (ADP‐PEA Pod) as the criterion, (b) validate the newly developed equations in an independent infant cohort and (c) compare them with published equations (Slaughter‐1988, Aris‐2013, Catalano‐1995). Methods: Cambridge Baby Growth Study (CBGS), UK, had anthropometry data at 6 weeks (N = 55) and 3 months (N = 64), including skinfold thicknesses (SFT) at four sites (triceps, subscapular, quadriceps and flank) and ADP‐derived total body fat mass (FM) and fat‐free mass (FFM). Prediction equations for FM and FFM were developed in CBGS using linear regression models and were validated in Sophia Pluto cohort, the Netherlands, (N = 571 and N = 447 aged 3 and 6 months, respectively) using Bland–Altman analyses to assess bias and 95% limits of agreement (LOA). Results: CBGS equations consisted of sex, age, weight, length and SFT from three sites and explained 65% of the variance in FM and 79% in FFM. In Sophia Pluto, these equations showed smaller mean bias than the three published equations in estimating FM: mean bias (LOA) 0.008 (−0.489, 0.505) kg at 3 months and 0.084 (−0.545, 0.713) kg at 6 months. Mean bias in estimating FFM was 0.099 (−0.394, 0.592) kg at 3 months and −0.021 (−0.663, 0.621) kg at 6 months. Conclusions: CBGS prediction equations for infant FM and FFM showed better validity in an independent cohort at ages 3 and 6 months than existing equations

An innovative rotary tool technology for rapid heat cycle molding

In recent years rapid heat cycle molding (RHCM) has been increasingly used to improve the surface quality of molded plastic products. For a given product the average cycle time of a RHCM process is nearly as long as the one measured in conventional injection molding. In this work an innovative rotary tool technology was developed in order to drastically reduce the cycle time. The equipment consists of a molding cavity heated up to a high temperature, a rotary plate with two cores conditioned at the standard processing temperature and a dummy cavity at cold temperature. Initially the polymer is injected between the hot cavity and the core in the first station. Then the mold is opened and the part is trasfered to the second station. The mold is closed and the part is packed and cooled by the cold cavity. In the meantime a new polymer melt is injected in the first cavity. To test the proposed technology, a rotary mold for a large TV frame was realized. The experimental results show that the proposed RHCM technique allows to achieve high-temperature injection molding, improve cooling efficiency and drastically reduce molding cycle time without affecting part quality. Experimental tests with different cavity and core temperatures were carried out to optimize the warpage of the TV panel. Numerical simulations were used to analyze the cooling phase and to predict the warpage of the part

Influence of rapid mold temperature variation on weld lines strength and appearance of injection-molded parts

In this work an innovative technology for rapid heating and cooling of injection molds has been developed and used to analyze the effect of fast variations of the mold temperature on the improvement of weld lines strength and moldings appearance. The obtained numerical and experimental results show that, by rapidly heating the mold cavity, the polymer melt can develop stronger weld lines. Furthermore, the mold cavity heating combined with the fast cooling of the molded part significantly contributes to contrast the development of surface defects, such as weld lines marks, which are due to stress relaxation

Application of high porosity metal foams in a heating/cooling system for rapid heat cycle injection molding process

Rapid heating cycle molding (RHCM) is a novel polymer injection molding technology developed in recent years. This paper proposes an innovative heating and cooling system based on the use of metallic foams to increase the efficiency of the conventional RHCM technique. An open-cell foam is a kind of porous medium that is emerging as an effective method of heat transfer enhancement, due to its large surface area to volume ratio and high thermal conductivity. Open-cell metal foams also present high specific stiffness and strength. To evaluate the feasibility of the new heating and cooling system, a mold insert with two aluminum foams for a double gated tensile specimen was manufactured. Water was forced to flow through the metal foams. A numerical simulation method was developed to analyze the structural deflection of the metallic foam and the thermal response of the mold cavity surface during the heating and cooling phases. A 3D fully transient numerical simulation was carried out to simulate the thermal behavior of the mold. This methodology entailed modeling an idealized open cell metal foam based on a fundamental periodic unit cells and solving the flow through the three-dimensional cellular unit. A good agreement was obtained between the numerical and experimental results. Both the simulation and test production results indicate that the proposed innovative heating and cooling system can realize high-temperature injection molding reducing the molding cycle time with respect to traditional RHCM technique. The use of metallic foam allows a temperature control medium very close to the surface, extremely fast temperature drop and uniform temperature distribution. The surface appearance of the specimen was improved and the surface marks were eliminated completely