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Early life is a challenging phase because of the high rates of morphophysiological development and growth. Changes in ambient temperature, which directly affect energy metabolism and digestive functions in ectotherms, may be of great impact during this phase. We addressed this issue in red-footed tortoise (Chelonoidis carbonaria) hatchlings kept in captivity. To this end, we investigated the effect of temperature (28 °C and 18 °C) on mass-specific gross energy intake (GEIm), daily body mass gain (MG), daily intake of gross energy (GEI), digestible energy (DEI), resting metabolic rate (RMR), and specific dynamic action (SDA) components during different seasons in the first 13 months after hatching. Greater GEIm and MG were observed in spring (381.7 ± 84.9 J.g-0.86.day-1 and 0.9 ± 0.4 g.day-1) and summer (356.9 ± 58.9 J.g-0.86.day-1 and 1.0 ± 0.4 g.day-1). The highest and lowest RMRs at 28 °C were observed in spring (36.4 ± 5.1 kJ.kg-1.day-1) and winter (22.4 ± 6.2 kJ.kg-1.day-1), respectively. Regardless season, hatchlings showed greater GEI and DEI, O2 consumption, CO2 production, RMR, maximum metabolic rate after feeding (FMRMAX), and heat increment (FMRMAX- RMR) at 28 °C compared to 18 °C. In addition, the significant body mass influence showed allometric exponents of 0.62 at 28 °C and 0.92 at 18 °C for RMR. Our results indicate an important effect of environmental temperature on energy requirements and utilization in C. carbonaria hatchlings, which is seasonally influenced even in this early phase of life.

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Underestimating/overestimating resting metabolic rate (RMR) affects energy prescription. The objective was to compare RMR by indirect calorimetry (RMR IC) and RMR estimated by predictive equations in women with excess body fat. This was an analytical cross-sectional study with 41 women aged 18-28 with overnutrition according to body composition. The RMR IC was measured and RMR estimated using the FAO/WHO/UNU (1985), FAO/WHO/UNU (2004), Harris-Benedict, and Mifflin-St Jeor equations. The percentage of adequacy (90-110%), overestimation (>110%), and underestimation (<90%) were evaluated for RMR IC. Data were described by percentiles because of non-normal distribution according to the Shapiro-Wilk test. The Kruskal-Wallis test and Bland-Altman analysis were applied at a significance level of α < 0.05. The RMR IC was 1192 and 1183 calories/day (p = 0.429) in women with obesity and overweight, respectively. The FAO/WHO/UNU (1985), FAO/WHO/UNU (2004), Harris-Benedict, and Mifflin-St Jeor equations overestimated the RMR IC by 283.2, 311.2, 292.7, and 203.0 calories/day and by 296.7, 413.8, 280.0, and 176.6 calories/day for women with overweight and obesity (p < 0.001), respectively. The Harris-Benedict adjusted weight (0.5) equation underestimated RMR IC by 254.7 calories/day. The predictive equations overestimated RMR IC in women with excess body fat. The Mifflin-St Jeor equation showed less overestimation and better adequacy, but was not exempt from inaccuracy.

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OBJECTIVE: To analyze whether changes in RMR 6 months after RYGB could be a predictor of weight loss on late follow-up. METHODS: Prospective study of 45 individuals submitted to RYGB in a university tertiary care hospital. Body composition was evaluated by bioelectrical impedance analysis and RMR by indirect calorimetry before (T0), 6 (T1), and 36 months (T2) after surgery. RESULTS: RMR/day was lower in T1 (1.552 ± 275 kcal/day) than in T0 (1734 ± 372 kcal/day; p < 0.001) with a return to similar values at T2 (1.795 ± 396 kcal/day; p < 0.001). In T0, there was no correlation between RMR/kg and body composition. In T1, there was a negative correlation between RMR and BW, BMI, and % FM, and a positive correlation with % FFM. The results in T2 were similar to T1. There was a significant increase in RMR/kg between T0, T1, and T2 (13.6 ± 2.2 kcal/kg, 16.9 ± 2.7 kcal/kg, and 19.9 ± 3.4 kcal/kg) in the total group and according to gender. Eighty percent of the patients who had increased RMR/kg ≥ 2 kcal at T1 achieved > 50% EWL in T2, particularly in women (odds ratio: 27.09, p < 0.037). CONCLUSIONS: The increase in RMR/kg after RYGB is a major factor related to a satisfactory % excess weight loss on late follow-up.

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ABSTRACT Objective To evaluate the influence of self-reported sleep duration on ghrelin secretion and nutritional indicators in obese women. Methods This is an observational study, including 36 adult women with obesity. Sleep duration was reported while completing the general questionnaire. Dietary, laboratory, anthropometric, and body composition indicators, and resting metabolic rate, were evaluated. For statistical analysis, sleep duration data were grouped into tertiles: less than six (first tertile); equal to or above six; and less than eight (second tertile); equal to or greater than eight hours of sleep per day (third tertile). The indicators were compared for the different ranges of the sleep duration. Results There was no significant difference when comparing anthropometric, laboratory, and energy expenditure indicators between sleep tertiles. However, women with shorter sleep duration (less than 6 hours per day) had a higher mean caloric intake, compared with the tertile of eight hours or more of sleep per day. For total lipid intake, the mean consumption was higher in the first tertile (up to six hours a day). Conclusion Sleeping less than six hours a day led to an increase in energy and lipid intake in obese women. However, it did not change the plasma ghrelin concentration.

RESUMO Objetivo Avaliar a influência da duração de sono autorrelatada na secreção de grelina e indicadores nutricionais na obesidade. Métodos Trata-se de um estudo observacional, incluindo 36 mulheres adultas com obesidade. A duração do sono foi relatada durante o preenchimento do questionário de dados gerais. Foram avaliados indicadores dietéticos, laboratoriais, antropométricos e de composição corporal, além da taxa metabólica de repouso. Para análise estatística, os dados de duração de sono foram agrupados em tercis, sendo menor do que seis (primeiro tercil), igual ou acima seis e menor do que oito (segundo tercil), igual ou maior do que oito horas de sono por dia (terceiro tercil). Os indicadores supracitados foram comparados entre as diferentes faixas dos tercis de duração de sono. Resultados Não houve diferença significativa ao comparar os indicadores antropométricos, laboratoriais e do gasto de energia, entre os tercis de sono. Porém, mulheres com menor tempo de duração do sono (menos de 6 horas por dia) apresentaram maior média da ingestão calórica, comparado com o tercil de oito horas ou mais de sono por dia. Para a ingestão de lipídios totais, a média de consumo foi maior no primeiro tercil (até seis horas por dia). Conclusão Dormir menos do que seis horas por dia levou ao aumento na ingestão energética e de lipídios em mulheres com obesidade, porém, não alterou a concentração de grelina plasmática.

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Resting metabolic rate (RMR) depends on body fat-free mass (FFM) and fat mass (FM), whereas abdominal fat distribution is an aspect that has yet to be adequately studied. The objective of the present study was to analyze the influence of waist circumference (WC) in predicting RMR and propose a specific estimation equation for older Chilean women. This is an analytical cross-sectional study with a sample of 45 women between the ages of 60 and 85 years. Weight, height, body mass index (BMI), and WC were evaluated. RMR was measured by indirect calorimetry (IC) and %FM using the Siri equation. Adequacy (90% to 110%), overestimation (>110%), and underestimation (<90%) of the FAO/WHO/UNU, Harris−Benedict, Mifflin-St Jeor, and Carrasco equations, as well as those of the proposed equation, were evaluated in relation to RMR as measured by IC. Normal distribution was determined according to the Shapiro−Wilk test. The relationship of body composition and WC with RMR IC was analyzed by multiple linear regression analysis. The RMR IC was 1083.6 ± 171.9 kcal/day, which was significantly and positively correlated with FFM, body weight, WC, and FM and inversely correlated with age (p < 0.001). Among the investigated equations, our proposed equation showed the best adequacy and lowest overestimation. The predictive formulae that consider WC improve RMR prediction, thus preventing overestimation in older women.

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The aim of this study was to compare sex differences in energy expenditure and enjoyment in older adults during Active Video Game activities and sedentary behavior (watching television). In a within-subjects design, n = 32 older adults were included (15 men and 17 women). Energy expenditure was measured during each activity using indirect calorimetry. Energy expenditure was expressed in J.kg-1.min-1 and Metabolic Equivalents. Enjoyment was measured after each activity with the Physical Activity Enjoyment Scale. Energy expenditure was greater in Active Video Game activities compared to sedentary behavior in both men and women, but no differences were observed between sexes. The women reported greater enjoyment in Active Video Game activities compared to the men, and women reported greater enjoyment in Active Video Game activities compared to watching television, whereas the men did not report differences in enjoyment between Active Video Game vs. television watching. In conclusion, despite no difference in Energy expenditure, older women enjoy more than men playing Active Video Game, maybe they can be targeted for this intervention. (Clinical Trials Registration - NCT04352543).

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Hormonal changes are caused by the menstrual cycle phases, which influence resting metabolic rate and eating behavior. The aim of the study was to determine resting metabolic rate (RMR) and its association with dietary intake according to the menstrual cycle phase in lean and obese Chilean women. This cross-sectional analytical study included 30 adult women (15 lean and 15 with obesity). Body composition was measured with a tetrapolar bioelectrical impedance meter. Nutritional status was determined by adiposity. A 24-h recall of three nonconsecutive days verifies dietary intake. The RMR was measured by indirect calorimetry. All measurements were performed in both the follicular and luteal phases of the menstrual cycle. Statistical analyses were performed with STATA software at a significance level, which was α = 0.05. The RMR (ß = 121.6 kcal/d), temperature (ß = 0.36 °C), calorie intake (ß = 317.1 kcal/d), and intake of lipids (ß = 13.8 g/d) were associated with the luteal phase in lean women. Only extracellular water (ß = 1.11%) and carbohydrate consumption (ß = 45.2 g/d) were associated in women with obesity. Lean women showed increased RMR, caloric intake, and lipid intake during the luteal phase. For women with obesity, carbohydrate intake increased but not RMR.

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ABSTRACT Objective: The present study investigated the time needed to achieve a steady state for an accurate assessment of resting energy expenditure (REE) in adolescents with healthy weight and obesity. Materials and methods: Thirty adolescents aged 12-17 years were assigned to a group with healthy weight (GHW; n = 12, body mass index [BMI] 22.5 ± 3.6 kg/m2) and another group with obesity (GO; n = 18, BMI 34.1 ± 5.2 kg/m2). Participants underwent test-retest reliability of REE assessment as follows: a) 24 h of abstention from physical exercise, soft drinks, or caffeine; b) fasting for ~12 h; c) acclimation period of 10 min; d) 30-min assessment in a supine position. Results and discussion: A significant change occurred during the 30 min in REE. Significant differences existed between consecutive means until the 20th and 25th min for the GHW and GO, respectively. Although significant differences between trials 1 and 2 were detected during the first 5-10 min of assessment, the REE for each 5-min time point exhibited high test-retest reliability across trials in both groups (intraclass correlation coefficients range 0.79-0.99). Conclusion: The following recommendations are provided to promote accurate assessment of REE among adolescents: a) initiate the REE assessment with 10 min of acclimation to decrease restlessness; b) determine REE for a minimum of 20 min if healthy weight and 25 min if obesity; c) determine REE for a further 5 min, with the average of this last 5 min of REE data being regarded as the REE.

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Objective: The present study investigated the time needed to achieve a steady state for an accurate assessment of resting energy expenditure (REE) in adolescents with healthy weight and obesity. Methods: Thirty adolescents aged 12-17 years were assigned to a group with healthy weight (GHW; n = 12, body mass index [BMI] 22.5 ± 3.6 kg/m2) and another group with obesity (GO; n = 18, BMI 34.1 ± 5.2 kg/m2). Participants underwent test-retest reliability of REE assessment as follows: a) 24 h of abstention from physical exercise, soft drinks, or caffeine; b) fasting for ~12 h; c) acclimation period of 10 min; d) 30-min assessment in a supine position. Results: A significant change occurred during the 30 min in REE. Significant differences existed between consecutive means until the 20th and 25th min for the GHW and GO, respectively. Although significant differences between trials 1 and 2 were detected during the first 5-10 min of assessment, the REE for each 5-min time point exhibited high test-retest reliability across trials in both groups (intraclass correlation coefficients range 0.79-0.99). Conclusion: The following recommendations are provided to promote accurate assessment of REE among adolescents: a) initiate the REE assessment with 10 min of acclimation to decrease restlessness; b) determine REE for a minimum of 20 min if healthy weight and 25 min if obesity; c) determine REE for a further 5 min, with the average of this last 5 min of REE data being regarded as the REE.

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BACKGROUND: Since age is the major risk factor for chronic diseases and mortality, it seems mistaken that older adults have lower basal temperature than young individuals. Many confounding factors could hinder the achievement of a consensus, such as the different sites of measurement, control of basal conditions, health conditions, age difference compared, sex, and others. OBJECTIVE: The aim was to meta-analyze previous studies in order to find a consensus regarding the effects of aging on body temperature in humans, considering different types of temperature assessments, age difference and sex. METHODS: A systematic search was performed in PubMed and 16 studies comparing basal temperature between older and young adults were meta-analyzed. RESULTS: Older adults have significantly lower body temperature than young adults (-0.17 °C (-0.30; -0.03), p=0.04). Considering the different sites of measure, while core temperature tended to be lower in older adults (-0.13 °C (-0.27; 0.01), p=0.07), and skin temperature was not different (-0.21 °C (-0.5; 0.08), p=0.15). The aging effects were more prominent in men when assessed by oral temperature and when compared between higher age difference. CONCLUSION: Indeed, there is a small reduction in overall temperature with aging, drove by the reduction in core temperature rather than skin temperature. The confirmation of these findings by this meta-analysis, now provide the base for the development of strategies to face the impairment in thermoregulation and metabolic efficiency with aging.

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Long-term social aggregations are maintained by multiple mechanisms, including the use of acoustic signals, which may nonetheless entail significant energetic costs. To date, however, no studies have gauged whether there are significant energetic costs to social call production in bats, which heavily rely on acoustic communication for a diversity of social tasks. We measured energetic expenditure during acoustic signaling in Spix's disc-winged bats (Thyroptera tricolor), a species that commonly uses contact calls to locate the ephemeral furled leaves that they use for roosting. To determine the cost of sound production, we measured oxygen consumption using intermittent-flow respirometry methods, with and without social signaling. Our results show that the emission of contact calls significantly increases oxygen consumption; vocal individuals spent, on average, 12.42 kJ more during social signaling trials than they spent during silent trials. We also found that as resting metabolic rate increased in males, there was a decreasing probability that they would emit response calls. These results provide support to the 'allocation model', which predicts that only individuals with lower self-maintenance costs can afford to spend energy in additional activities. Our results provide a step forward in our understanding of how physiology modulates behavior, specifically how the costs of call production and resting metabolic rate may explain the differences in vocal behavior among individuals.

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The present systematic review examined the effect of exercise intensity (high-intensity interval exercise [HIIE] vs. moderate-intensity continuous exercise [MICE] vs. sprint interval exercise [SIE]) on excess post-exercise oxygen consumption (EPOC). Twenty-two studies were included in the final evaluation. The retrieved investigations were split into studies that analysed short-duration (until 3 h) and long-duration (more than 3 h) EPOC. Studies that subtracted the baseline energy expenditure (EE) were analysed separately from those that did not. Most short-duration evaluations that subtracted baseline EE reported higher EPOC for HIIE (average of ~136 kJ) compared with MICE (average of ~101 kJ) and higher values for SIE (average of ~241 kJ) compared with MICE (average of ~151 kJ). The long-duration evaluations resulted in greater EPOC for HIIE (average of ~289 kJ) compared with MICE (average of ~159 kJ), while no studies comparing SIE versus MICE provided appropriate values. EE from EPOC seems to be greater following HIIE and SIE compared with MICE, and long-duration evaluations seem to present higher values than short-duration evaluations. Additionally, more standardized methodologies are needed in order to determine the effective EPOC time following these protocols.

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The main purpose of the present study was to investigate the potential use of metabolic parameters as non-specific biomarkers of pollution. The Igarapé do Quarenta is a small urban river crossing an industrial area in the city of Manaus, Amazon, and receives the city wastewater without treatment. The fish tambaqui (Colossoma macropomum) were exposed to water collected from two different sites of that stretch for 96 h. After exposure, routine metabolic rate (RMR) was measured, and fish were euthanized for measurements of electron transport system (ETS) activity, Copper (Cu) and Cadmium (Cd) bioaccumulation and biliary PAHs. Water in the sampling points presented low oxygen and high pH, conductivity, dissolved ions, Cu, Cd and ammonia. Bile concentrations of PAHs were high suggesting industrial pollution. The tambaqui exposed to water from Igarapé do Quarenta showed increased RMR and decreased ETS/RMR suggesting impairment of metabolic fish performance and the potential use of these parameters as biomarkers.

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Physical activity (PA) has been proposed as a determinant of cognitive function and is one component of energy balance (EB). EB is the difference between energy intake (EI) and the total daily energy expenditure (TDEE). TDEE is a combination of resting metabolic rate (RMR), thermic effect of food and PA. The potential role of each of these components on cognitive function has not yet been systemically investigated. We aim to evaluate the association between each component of EB on cognition, using baseline and longitudinal data from a clinical trial of caloric restriction (CR). This is a parallel-group, randomized clinical trial comparing two years of 25% CR with two years of ad libitum diet (AL), with 220 healthy volunteers of both sex, aged between 21 and 50 years and initial BMI ≥ 22 kg/m2 and <28 kg/m2. Body weight, fat mass (FM), fat-free mass (FFM), and bone mineral content were evaluated, as well as RMR, TDEE, cognitive performance and baseline energy intake. A 30 min/day of a moderate level on a minimum of 5 days/week was advised as PA measure. Longitudinal analysis demonstrated that the influence of CR in the improvement of cognitive performance was moderated by changes in RMR, suggesting that in individuals submitted to CR, the cognitive performance and the RMR improved proportionally, independently of changes in EI and body mass. EB and homeostasis are crucial to modulate the RMR. Moreover, RMR presents an important influence on cognitive function in individuals submitted to CR in a long term.

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OBJECTIVE: Resting metabolic rate (RMR) is an important parameter to guide the nutritional therapy of class III obese patients. The aims of the present study were to develop a predictive equation for RMR estimation in class III obese women using anthropometric indicators and to compare indirect calorimetry with other predictive equations. METHODS: This was a cross-sectional study on women with class III obesity (body mass index >40 kg/m2). Weight, height, fat-free mass, fat mass, and RMR of all individuals were measured. Multiple linear regression was used to determine the new RMR equation and the Bland-Altman plot was used to analyze the agreement between indirect calorimetry and the results of predictive equations. RESULTS: We evaluated 101 women with obesity class III and a mean age of 36.3 ± 10 y. The anthropometric and body composition variables used in the new equation had a coefficient of determination of 0.80, and a significant influence on RMR (P = 0.01). Harris-Benedict and World Health Organization equations showed similar bias and limits (181.6, +2 SD = 765.5, -2 SD = -402.2; 156.4, +2 SD = 799.4, -2 SD = -486.6, respectively). The Mifflin-St Jeor and Owen equations showed large clinical bias (mean, 239.2 and 463.9, respectively), and a tendency to overestimate RMR. CONCLUSION: The prediction equations tested in the study had low accuracy in estimating RMR of women with class III obesity. However, our equation was developed specifically for this population, using variables known to influence their energy expenditure.

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The current proposal about the variation of standard metabolic rates (SMR) in snakes predicts that SMR is influenced by the feeding frequency (frequent or infrequent feeders). However, feeding frequency in snakes is poorly studied and hard to quantify under natural conditions. Alternatively, foraging strategy was studied for a large number of species and is usually related to the feeding frequency. In this work, we performed a meta-analysis on the SMR of compiled data from 74 species of snakes obtained from the literature and five more different species of lanceheads (genus Bothrops), after categorization according to the foraging mode (ambush or active foraging) and regarding their phylogenetic history. We tested the hypothesis that foraging mode (FM) is a determinant factor on the interspecific variation of SMR despite the phylogenetic relationship among species. We demonstrated that FM predicted SMR, but there is also a partial phylogenetic structuration of SMR in snakes. We also detected that evolution rates of SMR in active foragers seem to be higher than ambush-hunting snakes. We suggested that foraging mode has a major effect over the evolution of SMR in snakes, which could represent an ecophysiological co-adaptation, since ambush hunters (with low feeding rates) present a lower maintenance energetic cost (SMR) when compared to active foragers. The higher SMR evolution rates for active foraging snakes could be related to a higher heterogeny in the degree of activity during hunting by active foragers when compared to ambush-hunting snakes.

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The current proposal about the variation of standard metabolic rates (SMR) in snakes predicts that SMR is influenced by the feeding frequency (frequent or infrequent feeders). However, feeding frequency in snakes is poorly studied and hard to quantify under natural conditions. Alternatively, foraging strategy was studied for a large number of species and is usually related to the feeding frequency. In this work, we performed a meta-analysis on the SMR of compiled data from 74 species of snakes obtained from the literature and five more different species of lanceheads (genus Bothrops), after categorization according to the foraging mode (ambush or active foraging) and regarding their phylogenetic history. We tested the hypothesis that foraging mode (FM) is a determinant factor on the interspecific variation of SMR despite the phylogenetic relationship among species. We demonstrated that FM predicted SMR, but there is also a partial phylogenetic structuration of SMR in snakes. We also detected that evolution rates of SMR in active foragers seem to be higher than ambush-hunting snakes. We suggested that foraging mode has a major effect over the evolution of SMR in snakes, which could represent an ecophysiological co-adaptation, since ambush hunters (with low feeding rates) present a lower maintenance energetic cost (SMR) when compared to active foragers. The higher SMR evolution rates for active foraging snakes could be related to a higher heterogeny in the degree of activity during hunting by active foragers when compared to ambush-hunting snakes.

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BACKGROUND: Analysis of the expression of genes related to the energy metabolism can elucidate the understanding of physiological and genetic factors that contribute to obesity. This study aimed to evaluate the expression of genes and its influence on resting metabolic rate and weight loss in obese patients before and after bariatric surgery. METHODS: This study was conducted on 23 women, who were divided into two groups: bariatric surgery (preoperative and 6 months after surgery) and control. Abdominal subcutaneous adipose tissue samples were collected to analyze the gene expression, and the resting metabolic rate (RMR) was measured by indirect calorimetry. RESULTS: Significant differences were observed in weight reduction (22 %, p = 0.01), BMI (22.5 %, p = 0.01), and RMR values (10.5 %, p = 0.01) after the bariatric surgery, while the weight-adjusted RMR increased (15.8 %, p = 0.01). Increased UCP2 expression after 6 months of Roux-en-Y gastric bypass (RYGB) as compared to preoperative period (0.764 to 1.268, p = 0.01) was observed. Analysis with weight-adjusted RMR as dependent variable revealed that UCP2 (r 2 = 0.517, p = 0.01) and PLIN1 (r 2 = 0.420, p = 0.04) expression determine the RMR values in preoperative period. Moreover, UCP2 and PLIN1 expression in preoperative period influenced the percentage of weight loss, even when adjusted for age and BMI. CONCLUSIONS: We have demonstrated that after 6 months of bariatric surgery, there is significant increase in the UCP2 expression. Additionally, the expression of UCP2 and PLIN1 genes influences the resting metabolic rate in obese individuals and could predict the weight loss after bariatric surgery.

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OBJECTIVES: Resting metabolic rate (RMR) reflects energetic costs of homeostasis and accounts for 60 to 75% of total energy expenditure (TEE). Lean mass and physical activity account for much RMR variability, but the impact of prolonged immune activation from infection on human RMR is unclear in naturalistic settings. We evaluate the effects of infection on mass-corrected RMR among Bolivian forager-horticulturalists, and assess whether RMR declines more slowly with age than in hygienic sedentary populations, as might be expected if older adults experience high pathogen burden. MATERIALS AND METHODS: RMR was measured by indirect calorimetry (Fitmate MED, Cosmed) in 1,300 adults aged 20 to 90 and TEE was measured using doubly labeled water (n = 40). Immune biomarkers, clinical diagnoses, and anthropometrics were collected by the Tsimane Health and Life History Project. RESULTS: Tsimane have higher RMR and TEE than people in sedentary industrialized populations. Tsimane RMR is 18 to 47% (women) and 22 to 40% (men) higher than expected using six standard prediction equations. Tsimane mass-corrected TEE is similarly elevated compared to Westerners. Elevated leukocytes and helminths are associated with excess RMR in multivariate regressions, and jointly result in a predicted excess RMR of 10 to 15%. After age 40, RMR declines by 69 kcal/decade (p < .0001). Controlling for lean mass and height accounts for 71% of age-related RMR decline, and adding indicators of infection minimally affects the age slope. The residual level of age-related decline from age 40 is 1.2% per decade. CONCLUSION: High pathogen burden may lead to higher metabolic costs, which may be offset by smaller body mass or other energy-sparing mechanisms.

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BACKGROUND: Bariatric surgery has been shown to be an effective treatment for obesity. Changes in energy expenditure, especially through diet-induced thermogenesis (DIT), have been identified as one of the mechanisms to explain this success. However, not all patients are able to maintain healthy postoperative weight loss. Therefore, a question arises: In the weight regain after bariatric surgery, are these changes in energy metabolism still active? OBJECTIVE: To investigate if weight regain after Roux-en-Y gastric bypass (RYGB) surgery is associated with a lower diet-induced thermogenesis in the late postoperative period. SETTING: A cross-sectional study with the participants chosen from among the patients from a private practice. METHODS: This was a cross-sectional study where 3 groups of female patients were evaluated: (1) 20 patients with a RYGB postoperative time period of at least 2 years, who kept a healthy weight after surgery (loss of at least 50% of excess weight; Healthy group); (2) 19 patients with clinically severe obesity (BMI>40 kg/m(2), without co-morbidities and>35 kg/m(2), with co-morbidities; Pre group); (3) 18 patients who experienced weight regain after RYGB (Regain group). The 3 groups were submitted to indirect calorimetry to measure resting metabolic rate (RMR), respiratory quotient (RQ), and DIT. Immediately after the RMR measurement, a mixed meal of regular consistency was offered. Ten minutes after the food intake began, energy expenditure measurements were initiated continuing throughout the following 3 postprandial hours. Body composition was evaluated using multifrequency bioelectrical impedance. In subgroups of the studied population, glucose and insulin levels were measured at baseline and at 30, 60, 90, 120, and 180 minutes after feeding. The mean area under the curve (AUC) between the 3 groups and measurements at baseline were compared using the analysis of variance (ANOVA). RESULTS: The Healthy group had the highest weight adjusted RMR value compared with both the Pre and Regain group (23.03±3.02 kcal/kg; 16.18±2.94 kcal/kg; 17.11±3.28 kcal/kg, respectively; P<.0001). The Regain and Pre groups showed no difference for this variable. The weight-adjusted DIT (AUC 0-180 min) was about 42% and 34% higher in the Healthy group compared with the Pre and Regain groups, respectively (P<.0001). Lean body mass (kg) showed a positive correlation with the AUC of weight-adjusted DIT in the 3 groups. Multiple regression revealed that lean body mass was the only variable related to weight adjusted DIT, independent of group and other selected variables. CONCLUSION: Weight-adjusted DIT in the Regain group was smaller compared with the Healthy group, and with no difference compared with the Pre group. The lean body mass seems to have a positive association with diet-induced thermogenesis.

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