Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass

1998 ◽  
Vol 275 (2) ◽  
pp. E249-E258 ◽  
Author(s):  
Dympna Gallagher ◽  
Daniel Belmonte ◽  
Paul Deurenberg ◽  
Zimian Wang ◽  
Norman Krasnow ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Body Mass ◽  
Mass Measurement ◽  
Mechanistic Model ◽  
Cell Mass ◽  
Whole Body ◽  
Tissue Mass ◽  
Organ Tissue

Investigators have expressed interest in the associations between resting energy expenditure (REE) and body mass for over a century. Traditionally, descriptive models using regression analysis are applied, linking REE with metabolically active compartments such as body cell mass (BCM) and fat-free body mass (FFM). Recently developed whole body magnetic resonance imaging (MRI) and echocardiography methods now allow estimation of all major organs and tissue volumes in vivo. Because measured values are available for REE, BCM, and FFM content of individual organs and tissues, it should now be possible to develop energy expenditure-body composition estimation models based on MRI-measured organ-tissue volumes. Specifically, the present investigation tested the hypothesis that in vivo estimation of whole body REE, BCM, and FFM is possible using MRI- and echocardiography-derived organ volumes combined with previously reported organ-tissue metabolic rates and chemical composition. Thirteen subjects (5 females, 8 males) had REE, BCM, and FFM measured by indirect calorimetry, whole body40K counting, and dual-energy X-ray absorptiometry, respectively. Models developed from estimated and measured variables were highly correlated, with no significant differences between those estimated and measured [e.g., calculated vs. measured REE: r = 0.92, P < 0.001; (mean ± SD) 6,962 ± 1,455 and 7,045 ± 1,450 kJ/day, respectively ( P = not significant)]. Strong associations were observed between REE, individual or combined organ weights, BCM, and FFM that provide new insights into earlier observed metabolic phenomona. The present approach, the first to establish an energy expenditure-body composition link with a mechanistic model in vivo, has the potential to greatly expand our knowledge of energy expenditure-body size relationships in humans.

scholarly journals A Soluble Activin Receptor Type IIB Prevents the Effects of Androgen Deprivation on Body Composition and Bone Health

Endocrinology ◽  
2010 ◽  
Vol 151 (9) ◽  
pp. 4289-4300 ◽  
Author(s):  
Alan Koncarevic ◽  
Milton Cornwall-Brady ◽  
Abigail Pullen ◽  
Monique Davies ◽  
Dianne Sako ◽  
...  
Keyword(s):  
Body Composition ◽  
Muscle Mass ◽  
Serum Levels ◽  
Androgen Deprivation ◽  
Receptor Type ◽  
Whole Body ◽  
Micro Computed Tomography ◽  
Tissue Mass ◽  
Activin Receptor

Androgen deprivation, a consequence of hypogonadism, certain cancer treatments, or normal aging in men, leads to loss of muscle mass, increased adiposity, and osteoporosis. In the present study, using a soluble chimeric form of activin receptor type IIB (ActRIIB) we sought to offset the adverse effects of androgen deprivation on muscle, adipose tissue, and bone. Castrated (ORX) or sham-operated (SHAM) mice received either TBS [vehicle-treated (VEH)] or systemic administration of ActRIIB-mFc, a soluble fusion protein comprised of a form of the extracellular domain of ActRIIB fused to a murine IgG2aFc subunit. In vivo body composition imaging demonstrated that ActRIIB-mFc treatment results in increased lean tissue mass of 23% in SHAM mice [19.02 ± 0.42 g (VEH) versus 23.43 ± 0.35 g (ActRIIB-mFc), P &lt; 0.00001] and 26% in ORX mice [15.59 ± 0.26 g (VEH) versus 19.78 ± 0.26 g (ActRIIB-mFc), P &lt; 0.00001]. Treatment also caused a decrease in adiposity of 30% in SHAM mice [5.03 ± 0.48 g (VEH) versus 3.53 ± 0.19 g (ActRIIB-mFc), NS] and 36% in ORX mice [7.12 ± 0.53 g (VEH) versus 4.57 ± 0.28 g (ActRIIB-mFc), P &lt; 0.001]. These changes were also accompanied by altered serum levels of leptin, adiponectin, and insulin, as well as by prevention of steatosis (fatty liver) in ActRIIB-mFc-treated ORX mice. Finally, ActRIIB-mFc prevented loss of bone mass in ORX mice as assessed by whole body dual x-ray absorptiometry and micro-computed tomography of proximal tibias. The data demonstrate that treatment with ActRIIB-mFc restored muscle mass, adiposity, and bone quality to normal levels in a mouse model of androgen deprivation, thereby alleviating multiple adverse consequences of such therapy.

scholarly journals Follow-up of GK rats during prediabetes highlights increased insulin action and fat deposition despite low insulin secretion

2008 ◽  
Vol 294 (1) ◽  
pp. E168-E175 ◽  
Author(s):  
Jamileh Movassat ◽  
Danièle Bailbé ◽  
Cécile Lubrano-Berthelier ◽  
Françoise Picarel-Blanchot ◽  
Eric Bertin ◽  
...  
Keyword(s):  
Body Composition ◽  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
Cell Function ◽  
Cell Mass ◽  
The Body ◽  
Whole Body ◽  
Β Cell ◽  
Gk Rats

The adult Goto-Kakizaki (GK) rat is characterized by impaired glucose-induced insulin secretion in vivo and in vitro, decreased β-cell mass, decreased insulin sensitivity in the liver, and moderate insulin resistance in muscles and adipose tissue. GK rats do not exhibit basal hyperglycemia during the first 3 wk after birth and therefore could be considered prediabetic during this period. Our aim was to identify the initial pathophysiological changes occurring during the prediabetes period in this model of type 2 diabetes (T2DM). To address this, we investigated β-cell function, insulin sensitivity, and body composition in normoglycemic prediabetic GK rats. Our results revealed that the in vivo secretory response of GK β-cells to glucose is markedly reduced and the whole body insulin sensitivity is increased in the prediabetic GK rats in vivo. Moreover, the body composition of suckling GK rats is altered compared with age-matched Wistar rats, with an increase of the number of adipocytes before weaning despite a decreased body weight and lean mass in the GK rats. None of these changes appeared to be due to the postnatal nutritional environment of GK pups as demonstrated by cross-fostering GK pups with nondiabetic Wistar dams. In conclusion, in the GK model of T2DM, β-cell dysfunction associated with increased insulin sensitivity and the alteration of body composition are proximal events that might contribute to the establishment of overt diabetes in adult GK rats.

Augmented expression and secretion of adipose-derived pigment epithelium-derived factor does not alter local angiogenesis or contribute to the development of systemic metabolic derangements

2014 ◽  
Vol 306 (12) ◽  
pp. E1367-E1377 ◽  
Author(s):  
Thomas V. Lakeland ◽  
Melissa L. Borg ◽  
Maria Matzaris ◽  
Amany Abdelkader ◽  
Roger G. Evans ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Energy Expenditure ◽  
Body Mass ◽  
Pigment Epithelium ◽  
In Vivo Studies ◽  
Whole Body ◽  
Pigment Epithelium Derived Factor ◽  
Metabolic Role

Impaired coupling of adipose tissue expansion and vascularization is proposed to lead to adipocyte hypoxia and inflammation, which in turn contributes to systemic metabolic derangements. Pigment epithelium-derived factor (PEDF) is a powerful antiangiogenic factor that is secreted by adipocytes, elevated in obesity, and implicated in the development of insulin resistance. We explored the angiogenic and metabolic role of adipose-derived PEDF through in vivo studies of mice with overexpression of PEDF in adipocytes (PEDF-aP2). PEDF expression in white adipocytes and PEDF secretion from adipose tissue was increased in transgenic mice, but circulating levels of PEDF were not increased. Overexpression of PEDF did not alter vascularization, the partial pressure of O2, cellular hypoxia, or gene expression of inflammatory markers in adipose tissue. Energy expenditure and metabolic substrate utilization, body mass, and adiposity were not altered in PEDF-aP2 mice. Whole body glycemic control was normal as assessed by glucose and insulin tolerance tests, and adipocyte-specific glucose uptake was unaffected by PEDF overexpression. Adipocyte lipolysis was increased in PEDF-aP2 mice and associated with increased adipose triglyceride lipase and decreased perilipin 1 expression. Experiments conducted in mice rendered obese by high-fat feeding showed no differences between PEDF-aP2 and wild-type mice for body mass, adiposity, whole body energy expenditure, glucose tolerance, or adipose tissue oxygenation. Together, these data indicate that adipocyte-generated PEDF enhances lipolysis but question the role of PEDF as a major antiangiogenic or proinflammatory mediator in adipose tissue in vivo.

Weight loss in postmenopausal obesity: no adverse alterations in body composition and protein metabolism

2000 ◽  
Vol 279 (1) ◽  
pp. E124-E131 ◽  
Author(s):  
Dympna Gallagher ◽  
Albert J. Kovera ◽  
Gaynelle Clay-Williams ◽  
Denise Agin ◽  
Patricia Leone ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Body Weight ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Protein Metabolism ◽  
Cell Mass ◽  
Whole Body ◽  
Healthy Weight ◽  
Body Protein

We sought to determine if decrements in the mass of fat-free body mass (FFM) and other lean tissue compartments, and related changes in protein metabolism, are appropriate for weight loss in obese older women. Subjects were 14 healthy weight-stable obese (BMI ≥30 kg/m2) postmenopausal women >55 yr who participated in a 16-wk, 1,200 kcal/day nutritionally complete diet. Measures at baseline and 16 wk included FFM and appendicular lean soft tissue (LST) by dual-energy X-ray absorptiometry; body cell mass (BCM) by 40K whole body counting; total body water (TBW) by tritium dilution; skeletal muscle (SM) by whole body MRI; and fasting whole body protein metabolism through l-[1-13C]leucine kinetics. Mean weight loss (±SD) was 9.6 ± 3.0 kg ( P < 0.0001) or 10.7% of initial body weight. FFM decreased by 2.1 ± 2.6 kg ( P = 0.006), or 19.5% of weight loss, and did not differ from that reported (2.3 ± 0.7 kg). Relative losses of SM, LST, TBW, and BCM were consistent with reductions in body weight and FFM. Changes in [13C]leucine flux, oxidation, and synthesis rates were not significant. Follow-up of 11 subjects at 23.7 ± 5.7 mo showed body weight and fat mass to be below baseline values; FFM was nonsignificantly reduced. Weight loss was accompanied by body composition and protein kinetic changes that appear appropriate for the magnitude of body mass change, thus failing to support the concern that diet-induced weight loss in obese postmenopausal women produces disproportionate LST losses.

Body cell mass: model development and validation at the cellular level of body composition

2004 ◽  
Vol 286 (1) ◽  
pp. E123-E128 ◽  
Author(s):  
ZiMian Wang ◽  
Marie-Pierre St-Onge ◽  
Beatriz Lecumberri ◽  
F. Xavier Pi-Sunyer ◽  
Stanley Heshka ◽  
...  
Keyword(s):  
Body Composition ◽  
Reference Data ◽  
Cell Mass ◽  
Cellular Level ◽  
Whole Body ◽  
Body Cell Mass ◽  
Prediction Formula ◽  
Body Cell ◽  
Total Body

Existing models to estimate the metabolically active body cell mass (BCM) component in vivo remain incompletely developed. The classic Moore model is based on an assumed BCM potassium content of 120 mmol/kg. Our objectives were to develop an improved total body potassium (TBK)-independent BCM prediction model on the basis of an earlier model (Cohn SH, Vaswani AN, Yasumura S, Yuen K, and Ellis KJ. J Lab Clin Med 105: 305-311, 1985), to apply this improved model in subjects to explore the sex and age dependence of the TBK/BCM ratio, to develop a new TBK/BCM model on the basis of physiological associations between TBK and total body water (TBW) at the cellular level of body composition, and to fit this new model with available reference data. Subjects were 112 healthy adults who had the following components measured: TBW by 2H2O or 3H2O, extracellular water by NaBr, total body nitrogen by in vivo neutron activation, bone mineral by dual-energy X-ray absorptiometry, and TBK by whole body counting. Human reference data were collected from earlier published reports. The improved Cohn model-derived TBK/BCM ratio was (mean ± SD) 109.0 ± 10.9 mmol/kg and was not significantly related to sex and age. A simplified version of the new TBK-TBW model provided a TBK/BCM ratio almost identical (109.1 mmol/kg) to that derived by the improved Cohn model. The TBK-BCM prediction formula derived from the improved and new models [BCM (kg) = 1/109 × TBK (mmol); or BCM = 0.0092 × TBK] gives BCM estimates ∼11% higher than the classic Moore model (BCM = 0.0083 × TBK) formulated on rough tissue composition estimates. The present analyses provide a physiologically based, improved, and validated TBK-BCM prediction formula that should prove useful in body composition and metabolism research.

scholarly journals The Relationship between Changes in Organ-Tissue Mass and Sleeping Energy Expenditure Following Weight Change in College Sumo Wrestlers

Medicina ◽  
2020 ◽  
Vol 56 (10) ◽  
pp. 536
Author(s):  
Taishi Midorikawa ◽  
Shigeho Tanaka ◽  
Takafumi Ando ◽  
Masayuki Konishi ◽  
Megumi Ohta ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Weight Change ◽  
Resting Metabolic Rate ◽  
Individual Variability ◽  
Blood Analysis ◽  
Whole Body ◽  
Tissue Mass ◽  
Before And After ◽  
Organ Tissue ◽  
The Relationship

Background and objectives: It has been well established that the resting energy expenditure (REE) for the whole body is the sum of the REE for each organ-tissue in young and middle-aged healthy adults. Based on these previous studies, although it is speculated that sleeping energy expenditure (SEE, which has small inter-individual variability) changes with a commensurate gain or reduction in the resting metabolic rate of each organ-tissue, it is unclear whether a change in organ-tissue masses is directly attributed to the fluctuation of SEE at present. This study aimed to assess the relationship between changes in organ-tissue mass and sleeping energy expenditure (SEE) following weight change in college Sumo wrestlers. This included blood analysis, which is related to energy expenditure. Materials and Methods: A total of 16 healthy male college Sumo wrestlers were recruited in this study. All measurements were obtained before and after weight change. Magnetic resonance imaging measurements were used to determine the volume of the skeletal muscle (SM), liver, and kidneys, and an indirect human calorimeter was used to determine SEE before and after weight change. Results: The change in body mass and SEE ranged between −8.7~9.5 kg, and −602~388 kcal/day. Moreover, changes in SM, liver, and kidneys ranged between −3.3~3.6 kg, −0.90~0.77 kg, and −0.12~0.07 kg. The change in SEE was not significantly correlated with the change in SM or liver mass, nor with blood analyses; however, a significant relationship between the change in kidney mass and SEE was observed. Conclusions: Based on our results, there is a possibility that the mass of the kidneys has an effect on the change in SEE following weight change in college Sumo wrestlers.

scholarly journals Applications of a Novel Whole Body Counter in Radiation Protection and Human Body Composition Studies

2012 ◽  
Vol 20 ◽  
pp. 62
Author(s):  
J. Kalef-Ezra ◽  
S. Valakis ◽  
S. Pallada
Keyword(s):  
Body Composition ◽  
Occupational Exposure ◽  
Radiation Protection ◽  
Human Body ◽  
Cell Mass ◽  
Whole Body ◽  
Body Counter ◽  
Whole Body Counter ◽  
Human Body Composition

A prototype shadow-shield whole body counter was designed, constructed and tested as a radiation protection, medical and research tool, such as in in vivo human body composition and in occupational exposure studies. In the present study potential fields of application of a prototype whole body counter were investigated carrying out measurements in groups of adult volunteers. Among others, the naturally occurring 40K and 214Bi whole body radioactivity was assessed. The activity of the former was correlated with the amount of the total body potassium, a quantity related to both cell mass and lean mass in the human body. Increased 214Bi levels found in two subjects was attributed to radium intake by ingestion. Patients were found contaminated with long lived radionuclides after administration of radiopharmaceutical of short half-life, administered for either diagnosis or treatment. Among the radiation workers monitored for internal occupational exposure, two were found contaminated with small amounts of 99mTc.

scholarly journals Application of standards and models in body composition analysis

2015 ◽  
Vol 75 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Manfred J. Müller ◽  
Wiebke Braun ◽  
Maryam Pourhassan ◽  
Corinna Geisler ◽  
Anja Bosy-Westphal
Keyword(s):  
Body Composition ◽  
Clinical Decision Making ◽  
Compartment Model ◽  
Clinical Decision ◽  
Whole Body ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Physical Functions ◽  
Body Components

The aim of this review is to extend present concepts of body composition and to integrate it into physiology. In vivo body composition analysis (BCA) has a sound theoretical and methodological basis. Present methods used for BCA are reliable and valid. Individual data on body components, organs and tissues are included into different models, e.g. a 2-, 3-, 4- or multi-component model. Today the so-called 4-compartment model as well as whole body MRI (or computed tomography) scans are considered as gold standards of BCA. In practice the use of the appropriate method depends on the question of interest and the accuracy needed to address it. Body composition data are descriptive and used for normative analyses (e.g. generating normal values, centiles and cut offs). Advanced models of BCA go beyond description and normative approaches. The concept of functional body composition (FBC) takes into account the relationships between individual body components, organs and tissues and related metabolic and physical functions. FBC can be further extended to the model of healthy body composition (HBC) based on horizontal (i.e. structural) and vertical (e.g. metabolism and its neuroendocrine control) relationships between individual components as well as between component and body functions using mathematical modelling with a hierarchical multi-level multi-scale approach at the software level. HBC integrates into whole body systems of cardiovascular, respiratory, hepatic and renal functions. To conclude BCA is a prerequisite for detailed phenotyping of individuals providing a sound basis for in depth biomedical research and clinical decision making.

scholarly journals Minimal impact of age and housing temperature on the metabolic phenotype of Acc2−/− mice

2015 ◽  
Vol 228 (3) ◽  
pp. 127-134 ◽  
Author(s):  
Amanda E Brandon ◽  
Ella Stuart ◽  
Simon J Leslie ◽  
Kyle L Hoehn ◽  
David E James ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Energy Expenditure ◽  
Glucose Tolerance ◽  
Fat Mass ◽  
Knockout Mice ◽  
Muscle Glycogen ◽  
Insulin Action ◽  
Metabolic Phenotype ◽  
Whole Body

An important regulator of fatty acid oxidation (FAO) is the allosteric inhibition of CPT-1 by malonyl-CoA produced by the enzyme acetyl-CoA carboxylase 2 (ACC2). Initial studies suggested that deletion of Acc2 (Acacb) increased fat oxidation and reduced adipose tissue mass but in an independently generated strain of Acc2 knockout mice we observed increased whole-body and skeletal muscle FAO and a compensatory increase in muscle glycogen stores without changes in glucose tolerance, energy expenditure or fat mass in young mice (12–16 weeks). The aim of the present study was to determine whether there was any effect of age or housing at thermoneutrality (29 °C; which reduces total energy expenditure) on the phenotype of Acc2 knockout mice. At 42–54 weeks of age, male WT and Acc2−/− mice had similar body weight, fat mass, muscle triglyceride content and glucose tolerance. Consistent with younger Acc2−/− mice, aged Acc2−/− mice showed increased whole-body FAO (24 h average respiratory exchange ratio=0.95±0.02 and 0.92±0.02 for WT and Acc2−/− mice respectively, P<0.05) and skeletal muscle glycogen content (+60%, P<0.05) without any detectable change in whole-body energy expenditure. Hyperinsulinaemic–euglycaemic clamp studies revealed no difference in insulin action between groups with similar glucose infusion rates and tissue glucose uptake. Housing Acc2−/− mice at 29 °C did not alter body composition, glucose tolerance or the effects of fat feeding compared with WT mice. These results confirm that manipulation of Acc2 may alter FAO in mice, but this has little impact on body composition or insulin action.

scholarly journals Influence of body composition on physical activity validation studies using doubly labeled water

2004 ◽  
Vol 96 (4) ◽  
pp. 1357-1364 ◽  
Author(s):  
Louise C. Mâsse ◽  
Janet E. Fulton ◽  
Kathleen L. Watson ◽  
Matthew T. Mahar ◽  
Michael C. Meyers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Doubly Labeled Water ◽  
Comparison Analysis ◽  
Methods Comparison ◽  
Statistical Procedures

This study investigated the influence of two approaches (mathematical transformation and statistical procedures), used to account for body composition [body mass or fat-free mass (FFM)], on associations between two measures of physical activity and energy expenditure determined by doubly labeled water (DLW). Complete data for these analyses were available for 136 African American (44.1%) and Hispanic (55.9%) women (mean age 50 ± 7.3 yr). Total energy expenditure (TEE) by DLW was measured over 14 days. Physical activity energy expenditure (PAEE) was computed as 0.90 × TEE - resting metabolic rate. During week 2, participants wore an accelerometer for 7 consecutive days and completed a 7-day diary. Pearson's product-moment correlations and three statistical procedures (multiple regressions, partial correlations, and allometric scaling) were used to assess the effect of body composition on associations. The methods-comparison analysis was used to study the effect of body composition on agreement. The statistical procedures demonstrated that associations improved when body composition was included in the model. The accelerometer explained a small but meaningful portion of the variance in TEE and PAEE after body mass was accounted for. The methods-comparison analysis confirmed that agreement with DLW was affected by the transformation. Agreement between the diary (transformed with body mass) and TEE reflected the association that exists between body mass and TEE. These results suggest that the accelerometer and diary accounted for a small portion of TEE and PAEE. Most of the variance in DLW-measured energy expenditure was explained by body mass or FFM.

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