10 research outputs found

    Energy Expenditure and Hormone Responses in Humans After Overeating High-Fructose Corn Syrup versus Whole-Wheat Foods

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    OBJECTIVE: This study sought to understand how the dietary source of carbohydrates, either high-fructose corn syrup (HFCS) or complex carbohydrates, affects energy expenditure (EE) measures, appetitive sensations, and hormones during 24 hours of overfeeding. METHODS: Seventeen healthy participants with normal glucose regulation had 24-hour EE measures and fasting blood and 24-hour urine collection during four different 1-day diets, including an energy-balanced diet, fasting, and two 75% carbohydrate diets (5% fat) given at 200% of energy requirements with either HFCS or whole-wheat foods as the carbohydrate source. In eight volunteers, hunger was assessed with visual analog scales the morning after the diets. RESULTS: Compared with energy balance, 24-hour EE increased 12.8% +/- 6.9% with carbohydrate overfeeding (P < 0.0001). No differences in 24-hour EE or macronutrient utilization were observed between the two high-carbohydrate diets; however, sleeping metabolic rate was higher after the HFCS diet (Delta = 35 +/- 48 kcal [146 +/- 200 kJ]; P = 0.01). Insulin, ghrelin, and triglycerides increased the morning after both overfeeding diets. Urinary cortisol concentrations (82.8 +/- 35.9 vs. 107.6 +/- 46.9 nmol/24 h; P = 0.01) and morning-after hunger scores (Delta = 2.4 +/- 2.0 cm; P = 0.01) were higher with HFCS overfeeding. CONCLUSIONS: The dietary carbohydrate source while overeating did not affect 24-hour EE, but HFCS overconsumption may predispose individuals to further overeating due to increased glucocorticoid release and increased hunger the following morning

    Specific skeletal muscle sphingolipid compounds in energy expenditure regulation and weight gain in native Americans of Southwestern heritage

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    BACKGROUND/OBJECTIVES: In animal models, a role in the regulation of energy expenditure (EE) has been ascribed to sphingolipids, active components of cell membranes participating in cellular signaling. In humans, it is unknown whether sphingolipids have a role in the modulation of EE and, consequently, influence weight gain. The present study investigated the putative association of EE and weight gain with sphingolipid levels in the human skeletal muscle, a component of fat-free mass (the strongest determinant of EE), in adipose tissue and plasma. SUBJECTS/METHODS: Twenty-four-hour EE, sleeping metabolic rate (SMR) and resting metabolic rate (RMR) were assessed in 35 healthy Native Americans of Southwestern heritage (24 male; 30.2 +/- 7.73 years). Sphingolipid (ceramide, C; sphingomyelin, SM) concentrations were measured in skeletal muscle tissue, subcutaneous adipose tissue and plasma samples. After 6.68 years (0.2612.4 years), follow-up weights were determined in 16 participants (4 females). RESULTS: Concentrations of C24: 0, SM18: 1/26: 1 and SM18: 0/24: 1 in muscle were associated with 24-h EE (r = -0.47, P = 0.01), SMR (r = -0.59, P = 0.0008) and RMR (r = -0.44, P = 0.01), respectively. Certain muscle sphingomyelins also predicted weight gain (for example, SM18: 1/23: 1, r = 0.74, P = 0.004). For specific muscle sphingomyelins that correlated with weight gain and EE (SM18: 1/23: 0, SM18: 1/23: 1 and SMR, r = -0.51, r = -0.41, respectively, all P<0.03; SM18: 1/24: 2 and RMR, r = -0.36, P = 0.03), associations could be reproduced with SMR in adipose tissue (all r < -0.46, all P < 0.04), though not in plasma. CONCLUSIONS: This study provides preliminary, novel evidence, that specific muscle and adipose tissue sphingolipid compounds are associated with EE and weight gain in Native Americans of Southwestern heritage. Further studies are warranted to investigate whether sphingolipids of different body compartments act in concert to modulate energy balance in humans

    Norepinephrine and thyroxine are predictors of fat mass gain in humans with cold-induced brown adipose tissue activation

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    Context: In healthy adults with detectable cold-induced brown adipose tissue activation (CIBA), the relationships between sympathetic nervous system (SNS) or thyroid activity during energy balance (EBL) with CIBA and body composition change are undetermined. Objective: To investigate the relationships between CIBA and thermoneutral catecholamines and thyroid hormones measured during EBL and to determine if CIBA, catecholamines, or thyroid hormones predict body composition changes. Design, Setting, Participants, and Interventions: Twelve healthy volunteers (seven male and five female) with positive CIBA [>2 standardized uptake value (g/mL)] had 24-hour energy expenditure (24hEE) assessed during EBL via whole-room indirect calorimetry while residing on a clinical research unit. Positron emission tomography/computed tomography scans were performed after exposure to 16 degrees C for 2 hours to quantify CIBA. Main Outcome Measures: CIBA, 24hEE during EBL, and thermoneutrality with concomitant measurement of urinary catecholamines and plasma free T3 and free T4. Body composition at baseline and 6 months by dual-energy X-ray absorptiometry. Results: Lower urinary norepinephrine and free T4 were associated with higher CIBA (r = -0.65, P = 0.03; and r = -0.75, P < 0.01, respectively), but CIBA was not associated with 24hEE at thermoneutrality (P = 0.77). Lower CIBA (beta = -3.5 kg/standardized uptake value; P < 0.01) predicted fat mass gain, whereas higher urinary norepinephrine and free T4 predicted future fat mass gain at 6 months (beta = 3.0 kg per twofold difference in norepinephrine, P = 0.03; and beta = 1.2 kg per 0.1-ng/dL difference in free T4, P = 0.03, respectively). Conclusion: Lower SNS and free thyroid measurements at baseline indicate a greater capacity for CIBA, which may be predictive against fat mass gain

    Energy expenditure in the etiology of human obesity: spendthrift and thrifty metabolic phenotypes and energy-sensing mechanisms

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    Abstract: The pathogenesis of human obesity is the result of dysregulation of the reciprocal relationship between food intake and energy expenditure (EE), which influences daily energy balance and ultimately leads to weight gain. According to principles of energy homeostasis, a relatively lower EE in a setting of energy balance may lead to weight gain; however, results from different study groups are contradictory and indicate a complex interaction between EE and food intake which may differentially influence weight change in humans. Recently, studies evaluating the adaptive response of one component to perturbations of the other component of energy balance have revealed both the existence of differing metabolic phenotypes (âspendthriftâ and âthriftyâ) resulting from overeating or underfeeding, as well as energy-sensing mechanisms linking EE to food intake, which might explain the propensity of an individual to weight gain. The purpose of this review is to debate the role that human EE plays on body weight regulation and to discuss the physiologic mechanisms linking EE and food intake. An increased understanding of the complex interplay between human metabolism and food consumption may provide insight into pathophysiologic mechanisms underlying weight gain, which may eventually lead to prevention and better treatment of human obesity

    Metabolic Factors Determining the Susceptibility to Weight Gain: Current Evidence

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    Starvation

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