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The determination of energy requirements in clinical practice is based on basal metabolic rate (BMR), frequently predicted by equations that may not be suitable for individuals with severe obesity. This systematic review and meta-analysis examined the accuracy and precision of BMR prediction equations in adults with severe obesity. Four databases were searched in March 2021 and updated in May 2023. Eligible studies compared BMR prediction equations with BMR measured by indirect calorimetry. Forty studies (age: 28-55 years, BMI: 40.0-62.4 kg/m2) were included, most of them with a high risk of bias. Studies reporting bias (difference between estimated and measured BMR) were included in the meta-analysis (n = 20). Six equations were meta-analyzed: Harris & Benedict (1919); WHO (weight) (1985); Owen (1986); Mifflin (1990); Bernstein (1983); and Cunningham (1980). The most accurate and precise equations in the overall analysis were WHO (-12.44 kcal/d; 95%CI: -81.4; 56.5 kcal/d) and Harris & Benedict (-18.9 kcal/d; 95%CI -73.2; 35.2 kcal/d). All the other equations tended to underestimate BMR. Harris & Benedict and WHO were the equations with higher accuracy and precision in predicting BMR in individuals with severe obesity. Additional analyses suggested that equations may perform differently according to obesity BMI ranges, which warrants further investigation.

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Objetivo: analizar la correlación y variaciones en los niveles de la tasa metabólica basal (TMB) con la presión arterial sistólica y diastólica en adultos normotensos e hipertensos de la población peruana. Metodología: se realizó un estudio observacional, analítico, retrospectivo y transversal en base a datos de la encuesta nacional demográfica y de salud-2022 (ENDES) que estuvo conformada por 18032 mujeres y 13646 hombres mayores de 18 años. Las variables fueron: sexo, TMB, presión arterial sistólica y diastólica. Se realizó la prueba chi-cuadrado, t de Student, Odds ratio crudo y ajustado por regresión logística binaria y la correlación de Spearman. Resultados: las mujeres con presión sistólica alta tuvieron una tasa TMB de 1130 mientras que en normotensas fue de 1246. Las mujeres con TMB baja tuvieron hipertensión con mayor frecuencia que las mujeres con TMB normal. En hombres, la hipertensión se presentó con mayor frecuencia en el grupo de TMB normal. En adultos hipertensos, la presión sistólica y la TMB se correlacionaron baja y negativamente, siendo más negativa en mujeres, mientras que la presión diastólica se correlacionó baja y positivamente en ambos sexos, siendo mayor en mujeres. En normotensos, la correlación entre presión sistólica y TMB fue muy baja y positiva en mujeres, mientras que en hombres fue baja y positiva mientras que la correlación entre presión diastólica y TMB fue baja y positiva en ambos sexos. Conclusiones: la TMB baja se asocia a hipertensión en mujeres, mientras que en hombres la hipertensión está asociada a una TMB normal. Asimismo, la TMB se correlaciona negativamente con la presión arterial en hipertensos y positivamente en normotensos de la población peruana.

Objective: To analyze the correlation and variations in the levels of the basal metabolic rate (BMR) with systolic and diastolic blood pressure in normotensive and hypertensive adults in the Peruvian population. Methodology: An observational, analytical, retrospective, and cross-sectional study was carried out based on data from the national demographic and health survey-2022 (ENDES), which consisted of 18,032 women and 13,646 men over 18 years of age. The variables were: sex, BMR, systolic and diastolic blood pressure. The chi-square test, Student's t test, crude Odds ratio and adjusted by binary logistic regression and Spearman correlation were applied. Results: Women with high systolic pressure had a TMB rate of 1130 while in normotensive women it was 1246. Women with low TMB had hypertension more frequently than women with normal TMB. In men, hypertension occurred more frequently in the normal TMB group. In hypertensive adults, systolic pressure and BMR were low and negatively correlated, being more negative in women, while diastolic pressure was low and positively correlated in both men and women, being higher in women. In normotensive individuals, the correlation between systolic pressure and BMR was very low and positive in women, while in men it was low and positive while the correlation between diastolic pressure and BMR was low and positive in men and women. Conclusions: Low BMR is associated with hypertension in women, while in men hypertension is associated with a normal BMR. Likewise, BMR is negatively correlated with blood pressure in hypertensives and positively in normotensives in the Peruvian population.

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To analyze the effect of oligo-carrageenan (OC) kappa in the stimulation of growth in Arabidopsis thaliana, plants were sprayed on leaves with an aqueous solution of OC kappa at 1 mg mL-1, 5 times every 2 days and cultivated for 5 or 15 additional days. Plants treated with OC kappa showed an increase in rosette diameter, fresh and dry weight, and primary root length. Plants treated with OC kappa once and cultivated for 0 to 24 h after treatment were subjected to transcriptomic analyses to identify differentially expressed genes, mainly at 12 h after treatment. Transcripts encoding proteins involved in growth and development and photosynthesis were upregulated as well as enzymes involved in primary metabolism. In addition, plants treated with OC kappa once and cultivated for 0 to 96 h showed increased levels of transcripts encoding enzymes involved in C, N, and S assimilation at 6 and 12 h after treatment that remain increased until 96 h. Therefore, OC kappa increased the expression of genes encoding proteins involved in photosynthesis, C, N, and S assimilation, and growth in A. thaliana.

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Introdução: O processo de envelhecimento está associado a uma redução progressiva do gasto energético de repouso (GER). Embora a calorimetria indireta (CI) seja considerada padrão ouro para avaliar o GER, equações matemáticas preditivas são mais comuns na prática clínica. Objetivo: Avaliar a acurácia e a concordância entre o gasto energético de repouso (GER) medido (mGER) e o estimado (pGER), bem como suas associações com composição corporal, força e prática de atividade ou exercício físico, em pessoas idosas longevas saudáveis. Métodos: Estudo transversal com 74 pessoas idosas (45 mulheres e 29 homens), com idade ≥ 80 anos, saudáveis. O GER foi medido por CI (após jejum noturno de 12 horas) e estimado por 11 equações de predição. A composição corporal foi avaliada por impedância bioelétrica (BIA). Avaliou-se a normalidade das variáveis pelo teste Shapiro-Wilk. Os testes t Student e Mann Whitney foram utilizados para comparação das médias e medianas, respectivamente, entre os sexos. A comparação de proporções foi efetuada com auxílio do teste Qui-quadrado. A comparação entre os valores de mGER e pGER foi realizada por meio do teste Wilcoxon. O teste de correlação de Spearman e Pearson foi realizado para comparar associações. Variações de 10% do mGER foram usadas como medida de acurácia. A concordância individual dos GER's foi examinada por tercis e pelo Bland-Altman. Resultados: A mediana de idade foi de 85 anos (82,00 ­ 85,25). O mGER apresentou correlação moderada com todos os pGER (0,30 ≤ | r | < 0,60). Ao considerar os sexos, as correlações foram significativas apenas entre os homens. Todas as equações superestimaram os valores de GER. A menor diferença total entre mGER e pGER foi alcançada pela equação de Mifflin et al. (1990) (237,16 kcal/d), para as mulheres por Porter et al. (2023) (247,43 kcal/d) e para os homens por Anjos et al. (2014) (326,59 kcal/d). A maior acurácia entre as mulheres foi identificada pela equação de Porter et al. (2023) (26,7%), enquanto Anjos et al. (2014) propiciou maior acurácia total e nos homens (23,0% e 20,7%, respectivamente). Essa equação também apresentou melhor concordância individual na classificação por tercis (40,5%). Identificou-se baixa concordância em todas as fórmulas pelos gráficos de Bland-Altman. Houve correlação forte entre o mGER e a massa livre de gordura (r=0,329, p=0,008), a massa gorda em homens (r=607, p=<0,001), e o perímetro da panturrilha para o total (r=0,322, p=0,001) e para os homens (r=0,419, p=0,009). Conclusão: Identificamos a necessidade de cautela ao utilizar equações de estimativa do GER em pessoas idosas longevas, com a equação de Anjos et al. (2014) sendo a menos imprecisa, embora a acurácia geral e a concordância individual sejam limitadas. A composição corporal, em particular PP, MLG e MG, foram influenciadores do GER em pessoas idosas

Introduction: The aging process is associated with a progressive reduction in resting energy expenditure (REE). Although indirect calorimetry (IC) is considered the gold standard for assessing REE, predictive mathematical equations are more commonly used in clinical practice. Objective: To evaluate the accuracy and agreement between measured resting energy expenditure (mREE) and estimated resting energy expenditure (pREE), as well as their associations with body composition, strength, and engagement in physical activity or exercise in healthy long-lived elderly individuals. Methods: Cross-sectional study with 74 elderly individuals (45 women and 29 men) aged ≥ 80 years, who were healthy. REE was measured by IC (after a 12-hour overnight fast) and estimated by 11 prediction equations. Body composition was assessed by bioelectrical impedance analysis. The normality was assessed by the Shapiro-Wilk test. Student's t-tests and Mann-Whitney tests were used for comparing means and medians, respectively, between sexes. Proportion comparisons were made using the chi-square test. Comparison between mREE and pREE values was performed using the Wilcoxon test. Spearman and Pearson correlation was conducted to compare associations. Variations of 10% from mREE were used as an accuracy measure. Individual REE agreement was examined by tertiles and Bland-Altman analysis. Results: The median age was 85 years (82.00 ­ 85.25). The mREE showed moderate correlation with all pREE (0.30 ≤ | r | < 0.60). When considering genders, correlations were significant only among men. All equations overestimated REE values. The smallest total difference between mREE and pREE was achieved by the equation by Mifflin et al. (1990) (237.16 kcal/d), for women by Porter et al. (2023) (247.43 kcal/d), and for men by Anjos et al. (2014) (326.59 kcal/d). The highest accuracy among women was identified by the equation Porter et al. (2023) (26.7%), while Anjos et al. (2014) provided higher accuracy in the total group and men (23.0% and 20.7%, respectively). This equation also showed better individual agreement in tertile classification (40.5%). Low agreement was identified in all formulas by Bland-Altman plots. There was a strong correlation between mREE and lean body mass (r=0.329, p=0.008), fat mass in men (r=0.607, p=<0.001), and calf circumference for the total (r=0.322, p=0.001) and for men (r=0.419, p=0.009). Conclusion: We identified the need for caution when using REE estimation equations in long-lived elderly individuals, with the Anjos et al. (2014) equation being the least inaccurate, although overall accuracy and individual agreement are limited. Body composition, particularly fat-free mass, lean body mass, and fat mass, influenced REE in elderly individuals.

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Knowledge on heat stress of animals is key to developing management strategies to mitigate its effects on livestock production. Efficiency and profitability of production systems will certainly be challenged by the forecasted global temperature increase of 1.5 °C between 2030 and 2050. Goats are a resilient animal model, much less affected by climatic variations than average livestock. However, this statement is only true to a certain threshold, which, if exceeded, may affect energy metabolism of goats thus affecting respiratory frequency, heart pulse, evaporative thermolysis and rectal temperature, also altering on hormonal profile of animals, leading to behavioural changes such as altering feed and water intake and sheltering in the quest for homeothermic status. Dairy goat breeds, such as Saanen, are more sensitive to heat stress. Adaptations in nutritional and environmental management, as well as selecting better adapted breeds are strategic practices targeting the mitigation of effects of thermal stress of goats in farming systems. However, studies on effects of ambient temperature on energy and basal metabolisms of goats are scarce. This review aims to elucidate energetic and basal metabolism responses of goats under heat stress targeting the development of management strategies to mitigate heat stress in the farming systems and the conservation of genetic resources, adaptability, phenotypic plasticity, and basal heat production in different breeds.

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ABSTRACT Background: Diet and exercise are the mainstay of weight reduction programs. Aim: To evaluate the effect of diet and exercise on body weight and composition and resting metabolic rate (RMR) in obese adults. Material and Methods: Twenty-eight obese adults aged 22 to 61 years (18 women) completed four months of diet and exercise. They attended monthly nutritional consultations, and two-three weekly exercise sessions. At baseline and the end of the intervention, anthropometry, body composition by bioimpedance and RMR by indirect calorimetry (IC) were measured. Metabolic adaptation, defined as a decrease in thermogenesis to an extent greater than predicted based on the change in body weight and composition, was calculated. RESULTS: Significant reductions in body weight and fat mass were observed in both genders. Fat-free mass decreased in women and remained unchanged in men. RMR remained stable. Metabolic adaptation was observed in 11/27 participants. Fat mass change in participants with and without metabolic adaptation was 8 Kg and 4,4 kg, respectively (p = 0,018). In the linear regression analysis, male sex accounted for a higher RMR (247.80 Kcal, p = 0,006) than females. For each kg of fat and fat free mass, the RMR varies 7.25 Kcal, (p = 0.02) and 9.79 Kcal (p = 0,006), respectively. CONCLUSIONS: The intervention reduced body weight and fat mass and maintained RMR. Fat free mass decreased in women. Participants with metabolic adaptation showed greater changes in fat mass.

ANTECEDENTES: Para el tratamiento de la obesidad, la dieta y ejercicio físico (EF) contribuyen a reducir el peso corporal (PC), masa grasa (MG) y a mantener la masa libre de grasa (MLG) y tasa metabólica en reposo (TMR). Objetivo: Evaluar el efecto de la dieta y EF sobre el PC, composición corporal (CC), TMR y la presencia de adaptación metabólica. MATERIAL Y MÉTODOS: Veintiocho adultos obesos completaron cuatro meses de dieta y EF. Los adultos asistieron a consulta nutricional mensual y a 2-3 sesiones de EF semanal. En el período basal y después de la intervención se midió antropometría, CC por bioimpedanciometria y TMR por calorimetría indirecta. Se calculo la presencia de adaptación metabólica, definida como una disminución de la termogénesis mayor que la predicha por el cambio en peso y composición corporal. Resultados: Se observó una disminución significativa de PC y MG en hombres y mujeres. La MLG disminuyó en las mujeres y se mantuvo en los hombres. La TMR se mantuvo estable. Se observó adaptación metabólica en 11/27 participantes y una relación significativa con el cambio en MG (p = 0,018). En la regresión lineal, el sexo masculino da cuenta de una mayor TMR (247,80 Kcal, p = 0,006) que el sexo femenino. Por cada kg de MG y MLG la TMR varía 7,25 Kcal, (p = 0,02) y 9,79 Kcal, (p = 0,006) respectivamente. CONCLUSIONES: La intervención redujo el PC y la MG, y mantuvo TMR. La MLG disminuyó en las mujeres. Los sujetos con adaptación metabólica mostraron mayores cambios de MG.

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ABSTRACT Introduction: Exercise can invigorate the body's metabolism. There are very few people who know how sports promote people's physical and mental health. How to lead people to participate in physical exercise through sports is a question worth considering. Objective: We explore the effects of sports on human metabolism. Methods: The article analyzes athletes' physical and chemical indicators before and after exercise and during the recovery period. The indicators cover blood routine, urine routine, and blood testosterone content. Results: The blood and urine routines of athletes before and after training are different (P<0.05). After an expressive number of exercises, the urine testosterone content will be different due to the difference in genders (P<0.05). Conclusions: Physical exercise has a very significant impact on human metabolism. The body's hormone levels and metabolism are related to the amount of exercise. Level of evidence II; Therapeutic studies - investigation of treatment results.

RESUMO Introdução: o exercício pode fortalecer o metabolismo corporal. Poucas pessoas sabem o quanto o esporte promove a saúde física e mental de indivíduos. Como levar as pessoas a participar em exercícios físicos através dos esportes é uma questão que vale a pena considerar. Objetivo: Explorar os efeitos do esporte no metabolismo humano. Métodos: O artigo analisa indicadores físicos e químicos de atletas antes e depois do exercício e durante o período de recuperação. Os indicadores cobrem testes de sangue, de urina e conteúdo de testosterona no sangue. Resultados: Os resultados dos testes de sangue e urina dos atletas antes e depois de treinar são diferentes (P<0.05). Após muito exercício, o conteúdo de testosterona na urina será diferente devido a diferença entre os sexos (P<0.05). Conclusões: O exercício físico tem um impacto significativo no metabolismo humano. O nível hormonal e o metabolismo do corpo estão relacionados a quantidade de exercício. Nível de evidência II; Estudos terapêuticos - investigação de resultados de tratamento.

RESUMEN Introducción: El ejercicio puede fortalecer el metabolismo corporal. Pocas personas saben cuánto el deporte promueve la salud física y mental de individuos. Cómo llevar a las personas a participar en ejercicios físicos a través de los deportes es una cuestión que vale la pena considerar. Objetivo: Explorar los efectos del deporte en el metabolismo humano. Métodos: El artículo analiza indicadores físicos y químicos de atletas antes y después del ejercicio y durante el periodo de recuperación. Los indicadores abarcan análisis de sangre, urina y contenido de testosterona en la sangre. Resultados: Los resultados de los análisis de sangre antes y después de entrenar son distintos (P<0.05). Tras mucho ejercicio, el contenido de testosterona en la urina será diferente debido a la diferencia entre los sexos (P<0,05). Conclusiones: El ejercicio físico tiene un impacto significativo en el metabolismo humano. El nivel hormonal y el metabolismo del cuerpo están relacionados a la cantidad de ejercicio. Nivel de evidencia II; Estudios terapéuticos - investigación de resultados de tratamiento.

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BACKGROUND AND AIMS: Precise evaluation of resting metabolic rate (RMR) is critical, especially for seniors in syndromes conditions. The study aimed to compare different methods and devices to evaluate the resting metabolic rate and assess them' reliability in Brazilian women with metabolic syndrome. METHODS: A single-center prospective study with forty elderly postmenopausal women was performed to verify the reliability of indirect calorimetry (IC) versus Bioimpedance (BIA) on RMR fluctuations for an interval length of six months. RESULTS: Measurements showed a high correlation between devices at baseline [BIA vs IC, intraclass correlation coefficient (ICC) = 0.906 (0.822-0.950)]. Surprisingly, a high correlation was kept between BIA and IC after six months [BIA vs. IC, ICC = 0.909 (0.829-0.952)]. The results suggest that both BIA and IC are excellent strategies to measure RMR in elderly postmenopausal women and with metabolic syndrome. CONCLUSIONS: However, the BIA method presents greater convenience, optimizes patients' time, and does not require prolonged fasting to obtain good reliable results compared to IC.

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ABSTRACT Introduction Blood biomarkers are measurable metabolic products that allow objective monitoring of the training process, and their analysis provides an opportunity to improve athletic performance. Objective To evaluate blood lactate concentrations in a group of the Valle League weightlifting athletes as a tool to determine the effects of training and its direct relationship to performance during competition. Methods This is an observational cross-sectional study. Lactate levels of 32 weightlifting athletes belonging to the Valle Weightlifting League were evaluated. Blood samples were taken from the ear lobe to quantify the lactate concentration, using a Scout Lactate analyzer. Samples were taken before and after a high intensity training section consisting of four maximum repetition (MR) sports gestures, in which 5 series and 15 repetitions were performed for each sports gesture, with a rest period of 40 seconds between each exercise. The software program SPSS, version 25, was used to determine the lactate concentrations. Results An average lactate concentration 22.46 mg/dL was obtained for the athletes at rest, and an average of 98.30 mg/dL in the final lactate concentration, after high intensity exercise. Significant differences were found between the initial and final lactate concentrations. Conclusion Lactate concentration increases with physical activity; it varies from one individual to another; and it can be used as a biomarker of intensity of physical activity in the field of sports. Level of evidence; II type of study: Prognostic Studies Investigating the Effect of a Patient Characteristic on a disease outcome.

RESUMO Introdução Os biomarcadores sanguíneos são produtos metabólicos mensuráveis que permitem a monitorização objetiva do processo de treino, e sua análise é uma oportunidade para melhorar o desempenho atlético. Objetivos Avaliar as concentrações de lactato no sangue de um grupo de atletas de halterofilismo da Liga Valle como ferramenta para determinar os efeitos do treino e sua relação direta com o desempenho durante a competição. Métodos Este é um estudo transversal e observacional. Foram avaliados os níveis de lactato em 32 atletas da Liga de Halterofilismo Valle. A amostra de sangue foi retirada do lóbulo da orelha com o intuito de quantificar a concentração de lactato com o analisador Scout Lactate. As amostras foram colhidas antes e depois de uma seção de treino de alta intensidade, que consistiu em quatro gestos esportivos de repetição máxima (RM), nos quais foram realizadas 5 séries e 15 repetições para cada gesto esportivo, com um período de repouso de 40 segundos entre cada exercício. O software SPSS, versão 25 foi usado para determinar as concentrações de lactato. Resultados A concentração média de lactato nos atletas em repouso foi 22,46 mg/dl e a concentração média final foi de 98,30 mg/dl depois de exercício de alta intensidade. Foram encontradas diferenças significativas ao comparar a concentração inicial com a concentração final de lactato. Conclusões A concentração de lactato aumenta com a realização da atividade física, é variável de um indivíduo para outro e pode ser usada como biomarcador de intensidade da atividade física na área dos esportes. Nível de Evidência II; Estudos prognósticos - Investigação do efeito de característica de um paciente sobre o desfecho da doença.

RESUMEN Introducción Los biomarcadores sanguíneos son productos metabólicos mensurables que permiten la monitorización objetiva del proceso de entrenamiento, y su análisis es una oportunidad para mejorar el desempeño atlético. Objetivos Evaluar las concentraciones de lactato en la sangre de un grupo de atletas de halterofilia de la Liga Valle como herramienta para determinar los efectos del entrenamiento y su relación directa con el desempeño durante la competición. Métodos Este es un estudio transversal y observacional. Fueron evaluados los niveles de lactato en 32 atletas de la Liga de Halterofilia Valle. La muestra de sangre fue retirada del lóbulo de la oreja con el objetivo de cuantificar la concentración de lactato con el analizador Scout Lactate. Las muestras fueron tomadas antes y después de una sección de entrenamiento de alta intensidad, que consistió en cuatro gestos deportivos de repetición máxima (RM), en los que se realizaron 5 series y 15 repeticiones para cada gesto deportivo, con un período de descanso de 40 segundos entre cada ejercicio. El software SPSS versión 25 fue usado para determinar las concentraciones de lactato. Resultados La concentración promedio de lactato en los atletas en reposo fue 22,46 mg/dl y la concentración promedio final fue de 98,30 mg/dl después del ejercicio de alta intensidad. Fueron encontradas diferencias significativas al comparar la concentración inicial con la concentración final de lactato. Conclusiones La concentración de lactato aumenta con la realización de actividad física, es variable de un individuo para otro, y puede ser usada como biomarcador de intensidad de la actividad física en el área de los deportes. Nivel de evidencia II; Estudios pronósticos - Investigación del efecto de característica de un paciente sobre el resultado de la enfermedad

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OBJECTIVES: Chronological age confers an increased risk for cardiovascular disease; however, chronological age does not reflect the subject's current health status. Therefore, we assessed whether Metabolic age (Met-age), based on free fat mass, is a predictor of cardiovascular risk (CVR). METHODS: Subjects attending either IMSS UMF-2 or CUSC-1 were asked to participate. CVR was assessed using the waist-to-height ratio (WHtR), whereas Met-age was determined using the TANITA bio-analyser (model: BC-545F Fitscan). The strengthen of association was determined by calculating Pearson's r and predictability was determined by the area-under-a-receiver-operating characteristic curve (AUC). RESULTS: 284 subjects participated in this study, of which 61.6% had increased CVR. As expected, the chronological age was significantly higher in the CVR(+) group than the CVR(-) group (47.3±14.4 v. 35.2±12.7, respectively, p<.001) as well as Met-age (59.3±15.5 v. 34.3±14.3, respectively, p<.001). There was a strong association between WHtR and Met-age (r=.720, p<.001) and a moderate association for chronological age (r=.407 p<.001); however, the correlation between WHtR and Met-age was significantly better than chronological age (Z=-5.91, p<.01). Met-age was a good predictor of CVR (AUC=.88, 95%CI: .83-.92, p<.001), whereas chronological age was a fair predictor (AUC=.72, 95%CI: .66-.78, p<.001). However, Met-age showed a higher discriminatory capacity for CVR than chronological age (z=-4.597, p<.001). CONCLUSIONS: Here, we determined that Met-age correlated with a CVR index, WHtR, and was able to predict subjects with increased CVR better than chronological age.

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