Evaluation of urea infusion to estimate in vivo body composition of Belgian blue double-muscled bulls

2000 ◽  
Vol 83 (4-5) ◽  
pp. 205-214 ◽  
Author(s):  
S De Campeneere ◽  
L. O. Fiems ◽  
J. M. Vanacker ◽  
CH. V. Boucqué
Keyword(s):  
Body Composition ◽  
Urea Infusion

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 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 < 0.00001] and 26% in ORX mice [15.59 ± 0.26 g (VEH) versus 19.78 ± 0.26 g (ActRIIB-mFc), P < 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 < 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 Prediction of the <i>in vivo</i> Body Composition of Pigs Based on Cross- Sectional Region Analysis of Dual Energy X-Ray Absorptiometry (DXA) Scans

2002 ◽  
Vol 45 (6) ◽  
pp. 535-545
Author(s):  
A. D. Mitchell ◽  
A. Scholz ◽  
V. Pursel
Keyword(s):  
Body Composition ◽  
Chemical Analysis ◽  
Body Fat ◽  
The Body ◽  
Cross Sectional ◽  
Body Protein ◽  
Total Body Fat ◽  
Total Body ◽  
Dxa Scans

Abstract. The purpose of this study was to evaluate the use of a cross-sectional scan as an alternative to the total body DXA scan for predicting the body composition of pigs in vivo. A total of 212 pigs (56 to 138 kg live body weight) were scanned by DXA. The DXA scans were analyzed for percentage fat and lean in the total body and in 14 cross-sections (57.6 mm wide): 5 in the front leg/thoracic region, 4 in the abdominal region, and 5 in the back leg region. Regression analysis was used to compare total body and cross-sectional DXA results and chemical analysis of total body fat, protein and water. The relation (R2) between the percentage fat in individual slices and the percentage of total body fat measured by DXA ranged from 0.78 to 0.97 and by chemical analysis from 0.71 to 0.85, respectively. The relation between the percentage of lean in the individual slices and chemical analysis for percentage of total body protein and water ranged from 0.48 to 0.60 and 0.56 to 0.76, respectively. These results indicate that total body composition of the pig can be predicted (accurately) by performing a time-saving single-pass cross-sectional scan.

The application of digital imaging techniques in the in vivo estimation of the body composition of pigs: a review

1999 ◽  
Vol 60 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Cs. Szabo ◽  
L. Babinszky ◽  
M.W.A. Verstegen ◽  
O. Vangen ◽  
A.J.M. Jansman ◽  
...  
Keyword(s):  
Body Composition ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
The Body

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.

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