scholarly journals Circulating Concentrations of GDF11 are Positively Associated with TSH Levels in Humans

2019 ◽  
Vol 8 (6) ◽  
pp. 878 ◽  
Author(s):  
Juan Añón-Hidalgo ◽  
Victoria Catalán ◽  
Amaia Rodríguez ◽  
Beatriz Ramírez ◽  
Adrián Idoate-Bayón ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Energy Homeostasis ◽  
Transforming Growth Factor ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Multiple Linear Regression Analysis ◽  
Thyroid Stimulating Hormone ◽  
Fat Free Mass ◽  
Enzyme Linked Immunosorbent Assay ◽  
Tsh Levels

Growth differentiation factor 11 (GDF11) is a member of the transforming growth factor (TGF)-β superfamily which declines with age and has been proposed as an anti-aging factor with regenerative effects in skeletal muscle in mice. However, recent data in humans and mice are conflicting, casting doubts about its true functional actions. The aim of the present study was to analyze the potential involvement of GFD11 in energy homeostasis in particular in relation with thyroid hormones. Serum concentrations of GDF11 were measured by enzyme-linked immunosorbent assay (ELISA) in 287 subjects. A highly significant positive correlation was found between GDF11 and thyroid-stimulating hormone (TSH) concentrations (r = 0.40, p < 0.001). Neither resting energy expenditure (REE) nor REE per unit of fat-free mass (REE/FFM) were significantly correlated (p > 0.05 for both) with GDF11 levels. In a multiple linear regression analysis, the model that best predicted logGDF11 included logTSH, leptin, body mass index (BMI), age, and C-reactive protein (logCRP). This model explained 37% of the total variability of logGDF11 concentrations (p < 0.001), with only logTSH being a significant predictor of logGDF11. After segregating subjects by TSH levels, those within the low TSH group exhibited significantly decreased (p < 0.05) GDF11 concentrations as compared to the normal TSH group or the high TSH group. A significant correlation of GDF11 levels with logCRP (r = 0.19, p = 0.025) was found. GDF11 levels were not related to the presence of hypertension or cardiopathy. In conclusion, our results show that circulating concentrations of GDF11 are closely associated with TSH concentrations and reduced in subjects with low TSH levels. However, GDF11 is not related to the regulation of energy expenditure. Our data also suggest that GDF11 may be involved in the regulation of inflammation, without relation to cardiac function. Further research is needed to elucidate the role of GDF11 in metabolism and its potential involvement in thyroid pathophysiology.

scholarly journals A Prediction Equation to Assess Resting Energy Expenditure in Japanese Patients with COPD

2020 ◽  
Vol 9 (11) ◽  
pp. 3455
Author(s):  
Keisuke Morikawa ◽  
Kazuyuki Tabira ◽  
Hiroyuki Takemura ◽  
Shogo Inaba ◽  
Haruka Kusuki ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Energy Expenditure ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Stepwise Linear Regression Analysis ◽  
Stepwise Linear Regression ◽  
Copd Patients ◽  
Resting Energy

Background: Medical nutrition therapy is important in the management of chronic obstructive pulmonary disease (COPD) patients. Determination of resting energy expenditure is essential to define therapeutic goals for medical nutrition. Previous studies proposed the use of equations to predict resting energy expenditure. No prediction equation is currently available for the Japanese population. The objective of this study was to develop an equation to predict resting energy expenditure in Japanese chronic obstructive pulmonary disease patients. To this end, we investigated clinical variables that correlate with the resting energy expenditure. Methods: This study included 102 COPD patients admitted at the Matsusaka Municipal Hospital Respiratory Center. We measured resting energy expenditure by indirect calorimetry and explored the relationship of resting energy expenditure with clinical variables by univariate and stepwise linear regression analysis. Results: The resting energy expenditure by indirect calorimetry was significantly correlated with fat-free mass, body weight, body mass index, height, gender, and pulmonary function test by univariate analysis. In the stepwise linear regression analysis, the fat-free mass, body weight, and age remained significantly correlated with indirect calorimetry’s resting energy expenditure. The fat-free mass, body weight, and age explained 50.5% of the resting energy expenditure variation. Conclusion: Fat-free mass, body weight, and age were significantly correlated with resting energy expenditure by stepwise linear regression analysis, and they were used to define a predictive equation for Japanese COPD patients.

Association of Thyroid-Stimulating Hormone with Resting Energy Expenditure in Euthyroid Elderly Subjects: A Cross-Sectional Study

2015 ◽  
Vol 68 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Anja Nagel ◽  
Andre Spinneker ◽  
Monika Neuhäuser-Berthold
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Elderly Women ◽  
Resting Energy Expenditure ◽  
Thyroid Stimulating Hormone ◽  
Fat Free Mass ◽  
Elderly Subjects ◽  
Cross Sectional ◽  
Resting Energy ◽  
Stimulating Hormone

Background: Several studies have reported positive correlations between thyroid-stimulating hormone (TSH) and body mass index (BMI) in euthyroid subjects. As impaired thyroid function is known to affect the metabolic rate, this study investigated whether TSH is associated with resting energy expenditure (REE) in euthyroid elderly subjects, independent of age, anthropometric data and body composition. Methods: Cross-sectional data of 77 women (66-96 years, BMI 18-36 kg/m2) and 55 men (66-86 years, BMI 20-39 kg/m2) were analyzed. REE was measured using indirect calorimetry, body composition by bioelectrical impedance analysis and serum TSH using an electrochemiluminescence immunoassay. Results: REE, fat-free mass (FFM) and waist circumference (WC) were significantly lower, whereas TSH and fat mass (FM) were significantly higher in women than in men. In multiple stepwise regression analysis, with age-adjusted REE (REEadj) as the dependent variable and FFM, FM and WC as independent variables, FFM and WC explained 40.7% in women and FFM 32.8% in men of the variability in REEadj. Including TSH in the model led to a significant rise of the adjusted R-squared value in women only, and explained an additional 2.8% of the variability in REEadj. Conclusions: TSH is independently and negatively associated with REE in euthyroid elderly women.

scholarly journals Relationship between metabolic syndrome and acylated/desacylated ghrelin ratio in patients with schizophrenia under olanzapine medication

2019 ◽  
Vol 34 (1) ◽  
pp. 86-92 ◽  
Author(s):  
Tzu-Hua Wu ◽  
Chih-Chiang Chiu ◽  
Kah Kheng Goh ◽  
Po-Yu Chen ◽  
Ming-Chyi Huang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Energy Homeostasis ◽  
Linear Regression Analysis ◽  
Insulin Level ◽  
Peptide Hormone ◽  
Multiple Linear Regression Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Model Assessment ◽  
Total Ghrelin ◽  
Desacylated Ghrelin

Background: Ghrelin is a peptide hormone that mediates glucose homeostasis and lipid metabolism. Acylated ghrelin (AG) and desacylated ghrelin (DAG) are the two main forms of ghrelin, which have opposing roles in energy homeostasis. The AG/DAG ratio has been proposed to be associated with metabolic syndrome (MetS) in the general population. This study compared the relationships between MetS and ghrelin parameters in patients with schizophrenia. Methods: Patients diagnosed with schizophrenia and under olanzapine monotherapy were recruited. Fasting blood samples were collected for the analyses of metabolic and ghrelin parameters. The serum levels of total ghrelin and AG were measured by enzyme-linked immunosorbent assay kits. DAG level was calculated by subtracting the AG level from the total ghrelin level. Results: We recruited 151 subjects with schizophrenia, and classified them into those with MetS ( n = 41) and those without MetS ( n = 110). Subjects with MetS had a significantly higher AG/DAG ratio, as well as lower total ghrelin and DAG levels. There were no sex differences in ghrelin parameters. The AG/DAG ratio was significantly and positively correlated with weight, body mass index, waist circumference, insulin level, homeostasis model assessment of insulin resistance and number of MetS components. Multiple linear regression analysis indicated that the number of MetS components remained significantly associated with the AG/DAG ratio. Conclusions: Our results revealed that lower AG/DAG ratios were associated with better metabolic profiles in olanzapine-treated patients with schizophrenia. These observations suggest that the balance between AG and DAG plays a crucial role in the metabolic homeostasis among patients with schizophrenia.

Relationship between fat-to-fat-free mass ratio and decrements in leg strength after downhill running

2001 ◽  
Vol 90 (4) ◽  
pp. 1334-1341 ◽  
Author(s):  
R. C. Hickner ◽  
P. M. Mehta ◽  
D. Dyck ◽  
P. Devita ◽  
J. A. Houmard ◽  
...  
Keyword(s):  
Body Mass ◽  
Muscle Glycogen ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Fat Free Mass ◽  
Mass Ratio ◽  
Low Fat ◽  
Cross Sectional ◽  
Leg Strength ◽  
Downhill Running

The purpose of this study was to determine whether greater body fat mass (FM) relative to lean mass would result in more severe muscle damage and greater decrements in leg strength after downhill running. The relationship between the FM-to-fat-free mass ratio (FM/FFM) and the strength decline resulting from downhill running (−11% grade) was investigated in 24 male runners [age 23.4 ± 0.7 (SE) yr]. The runners were divided into two groups on the basis of FM/FFM: low fat (FM/FFM = 0.100 ± 0.008, body mass = 68.4 ± 1.3 kg) and normal fat (FM/FFM = 0.233 ± 0.020, body mass = 76.5 ± 3.3 kg, P < 0.05). Leg strength was reduced less in the low-fat (−0.7 ± 1.3%) than in the normal-fat individuals (−10.3 ± 1.5%) 48 h after, compared with before, downhill running ( P < 0.01). Multiple linear regression analysis revealed that the decline in strength could be predicted best by FM/FFM ( r2= 0.44, P < 0.05) and FM-to-thigh lean tissue cross-sectional area ratio ( r2= 0.53, P < 0.05), with no additional variables enhancing the prediction equation. There were no differences in muscle glycogen, creatine phosphate, ATP, or total creatine 48 h after, compared with before, downhill running; however, the change in muscle glycogen after downhill running was associated with a higher FM/FFM ( r = −0.56, P < 0.05). These data suggest that FM/FFM is a major determinant of losses in muscle strength after downhill running.

scholarly journals Non-invasive stimulation of vagal afferents reduces gastric frequency

2019 ◽  
Author(s):  
Vanessa Teckentrup ◽  
Sandra Neubert ◽  
João C. P. Santiago ◽  
Manfred Hallschmid ◽  
Martin Walter ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Vagus Nerve ◽  
Energy Homeostasis ◽  
Resting Energy Expenditure ◽  
Vagal Afferents ◽  
Metabolic Effects ◽  
Net Energy ◽  
Non Invasive ◽  
Induced Changes ◽  
Stimulation Of

AbstractMetabolic feedback between the gut and the brain relayed via the vagus nerve contributes to energy homeostasis. We investigated in healthy adults whether non-invasive stimulation of vagal afferents impacts energy homeostasis via efferent effects on metabolism or digestion. In a randomized crossover design, we applied transcutaneous auricular vagus nerve stimulation (taVNS) while recording efferent metabolic effects using simultaneous electrogastrography (EGG) and indirect calorimetry. We found that taVNS reduced gastric myoelectric frequency (p =.008), but did not alter resting energy expenditure. We conclude that stimulating vagal afferents induces gastric slowing via vagal efferents without acutely affecting net energy expenditure at rest. Collectively, this highlights the potential of taVNS to modulate digestion by activating the dorsal vagal complex. Thus, taVNS-induced changes in gastric frequency are an important peripheral marker of brain stimulation effects.

Energy Expenditure and Body Fat Distribution in Mohawk Children

PEDIATRICS ◽  
1995 ◽  
Vol 95 (1) ◽  
pp. 89-95
Author(s):  
Michael I. Goran ◽  
Mary Kaskoun ◽  
Rachel Johnson ◽  
Charlene Martinez ◽  
Benson Kelly ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Native Americans ◽  
Energy Expenditure ◽  
Total Energy ◽  
Body Fat ◽  
Resting Energy Expenditure ◽  
Fat Distribution ◽  
Total Energy Expenditure ◽  
Fat Free Mass

Objective. Epidemiologic studies suggest that Native Americans, including the Mohawk people, have a high prevalence of obesity, diabetes, and cardiovascular risk. However, current information on alterations in related variables such as energy metabolism and body composition in Native Americans is almost exclusively limited to already obese Pima adults living in the Southwest. The aim of this study was to characterize energy metabolism and body composition in young Mohawk children (17 girls, 11 boys; aged 4 to 7 years) as compared to Caucasian children (36 girls, 34 boys; aged 4 to 7 years). Total energy expenditure was measured by doubly labeled water, postprandial resting energy expenditure by indirect calorimetry, and activity energy expenditure was derived from the difference between total and resting energy expenditure. Fat and fat free mass were estimated from bioelectrical resistance, and body fat distribution was estimated from skinfolds and circumferences. Results. There were no significant effects of ethnic background or sex on body weight, height, or body mass index. Fat free mass was significantly higher in boys and fat mass was significantly higher in girls, with no effect of ethnic background. Chest skinfold thickness, the ratio of trunk skinfolds:extremity skinfolds, and the waist:hip ratio were significantly higher in Mohawk children by 2.5 mm, 0.09 units, and 0.03 units, respectively, independent of sex and fat mass. Total energy expenditure was significantly higher in Mohawk children compared to Caucasian (100 kcal/day in girls, 150 kcal/day in boys), independent of fat free mass and sex, due to a significantly higher physical activity-related energy expenditure. Conclusion. These data suggest that: 1) body fat is more centrally distributed in Mohawk relative to Caucasian children, and this effect is independent of sex and body fat content; 2) Mohawk children have a greater total energy expenditure than Caucasian children, independent of fat free mass, due to greater physical activity-related energy expenditure.

Thermogenic effect of thyroid hormones: interactions with epinephrine and insulin.

1990 ◽  
Vol 259 (3) ◽  
pp. E305
Author(s):  
V Piolino ◽  
K J Acheson ◽  
M J Müller ◽  
N Jeanprêtre ◽  
A G Burger ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Thyroid Hormones ◽  
Basal Insulin ◽  
Plasma Insulin ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Short Term ◽  
Epinephrine Infusion ◽  
Before And After ◽  
Basal Plasma

The interactions between thyroid hormones, epinephrine, and insulin in the regulation of energy expenditure were investigated in a group of healthy young men before and after thyroxine (T4) treatment (300 micrograms/day for 14 days) at basal plasma insulin concentrations and during hypoinsulinemia with and without epinephrine infusion (0.05 micrograms.kg fat-free mass-1.min-1). T4 treatment induced moderate hyperthyroidism and increased resting energy expenditure (RMR). The effect was more pronounced during short-term hypoinsulinemia, but hypoinsulinemia by itself did not influence RMR. Epinephrine infusion caused a significant increase in energy expenditure. The effect was most pronounced at hypoinsulinemia and with T4 treatment. Hypoinsulinemia and T4 treatment were not additive in their effects. We conclude that basal insulin concentrations mask some of the thermogenic effects of thyroid hormones and epinephrine. Thus insulin antagonism may suppress some of the thermogenic actions of thyroid hormones and epinephrine.

Resting Energy Expenditure in Obese Women with Primary Hypothyroidism and Appropriate Levothyroxine Replacement Therapy

2020 ◽  
Vol 105 (4) ◽  
pp. e1741-e1748 ◽  
Author(s):  
Emanuele Muraca ◽  
Stefano Ciardullo ◽  
Alice Oltolini ◽  
Francesca Zerbini ◽  
Eleonora Bianconi ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Replacement Therapy ◽  
Resting Energy Expenditure ◽  
Primary Hypothyroidism ◽  
Normal Serum ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Obese Women ◽  
Resting Energy

Abstract Context Growing evidence suggests that appropriate levothyroxine (LT4) replacement therapy may not correct the full set of metabolic defects afflicting individuals with hypothyroidism. Objective To assess whether obese subjects with primary hypothyroidism are characterized by alterations of the resting energy expenditure (REE). Design Retrospective analysis of a set of data about obese women attending the outpatients service of a single obesity center from January 2013 to July 2019. Patients A total of 649 nondiabetic women with body mass index (BMI) &gt; 30 kg/m2 and thyrotropin (TSH) level 0.4–4.0 mU/L were segregated into 2 groups: patients with primary hypothyroidism taking LT4 therapy (n = 85) and patients with normal thyroid function (n = 564). Main outcomes REE and body composition assessed using indirect calorimetry and bioimpedance. Results REE was reduced in women with hypothyroidism in LT4 therapy when compared with controls (28.59 ± 3.26 vs 29.91 ± 3.59 kcal/kg fat-free mass (FFM)/day), including when adjusted for age, BMI, body composition, and level of physical activity (P = 0.008). This metabolic difference was attenuated only when adjustment for homeostatic model assessment of insulin resistance (HOMA-IR) was performed. Conclusions This study demonstrated that obese hypothyroid women in LT4 therapy, with normal serum TSH level compared with euthyroid controls, are characterized by reduced REE, in line with the hypothesis that standard LT4 replacement therapy may not fully correct metabolic alterations related to hypothyroidism. We are not able to exclude that this feature may be influenced by the modulation of insulin sensitivity at the liver site, induced by LT4 oral administration.

scholarly journals New Predictive Equations for Resting Energy Expenditure in Normal to Overweight and Obese Population (P16-048-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ali Almajwal ◽  
Mahmoud Abulmeaty
Keyword(s):  
Regression Analysis ◽  
Energy Expenditure ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Accurate Prediction ◽  
Future Research ◽  
Predictive Equations ◽  
Men And Women ◽  
New Equation ◽  
Resting Energy

Abstract Objectives The unique demographic and dietary characteristics of our population require the development of a new equation to estimate the resting energy expenditure (REE). This study presented new equations characteristic to our population. Methods A set of predictive equations for REE was derived for 427 healthy male and female subjects (aged 18–57 ± 14 years). Measurement of REE (REEm) was done by the indirect calorimetry (IC) and its prediction (REEp) by using nine equations. REEp was compared with REEm to determine the predictive accuracy of these equations. Using IC and anthropometrics for stepwise linear regression analysis, a new equation to predict REE of Saudi men and women was developed. Results Using a number of parameters (bias, underprediction, overprediction, % accurate prediction), our results suggested that almost all (9/9 in men and 7/9 in women) equations either underpredicted or overpredicted (2/9) REE. None of the already existing equations showed an acceptable REEp/REEm difference as low as 5%, and an accurate prediction (∼55%) at the individual level. Based on these findings, a new prediction equation (hereafter referred to as Almajwal–Abulmeaty [AA] equation) was developed using this study's data, after a rigorous stepwise regression analysis using the following formula: REE = 3832.955 + BW [Kg] × 48.037 − Ht [Cm] × 30.642 + gender × 141.268 − age [years] × 4.525. The regression model accounted for about 70% of the variance in REEm (R2 = 0.702). Conclusions Previous equations likely over- or underpredicted REE. Therefore, the new predictive “AA equation” developed in this study is recommended for the estimation of REE in young to middle-aged Saudi men and women with different body mass index. Future research is also required for further clinical and cross-validation of this new equation. Funding Sources This study was supported by the King Abdulaziz City for Science and Technology (grant number 11 – MED 1966 – 02). Supporting Tables, Images and/or Graphs

Anthropometric measured fat-free mass as essential determinant of resting energy expenditure for pregnant and non-pregnant women

Nutrition ◽  
2011 ◽  
Vol 27 (9) ◽  
pp. 885-890 ◽  
Author(s):  
Miloslav Hronek ◽  
Petr Klemera ◽  
Jindrich Tosner ◽  
Dana Hrnciarikova ◽  
Zdenek Zadak
Keyword(s):  
Energy Expenditure ◽  
Pregnant Women ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Resting Energy
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