Measurement of Total Body Protein in Childhood

2000 ◽  
pp. 25-35 ◽  
Author(s):  
L.A. Baur ◽  
J.R. Allen ◽  
I.R. Humphries ◽  
K.J. Gaskin
Keyword(s):  
Body Protein ◽  
Total Body

Three-compartment model: critical evaluation based on neutron activation analysis

2004 ◽  
Vol 287 (5) ◽  
pp. E962-E969 ◽  
Author(s):  
Analiza M. Silva ◽  
Wei Shen ◽  
ZiMian Wang ◽  
John F. Aloia ◽  
Miriam E. Nelson ◽  
...  
Keyword(s):  
Neutron Activation ◽  
Mass Density ◽  
Critical Evaluation ◽  
Morbidly Obese ◽  
Body Volume ◽  
Body Protein ◽  
Study Results ◽  
Total Body ◽  
3C Model

There is renewed interest in Siri's classic three-compartment (3C) body composition model, requiring body volume (BV) and total body water (TBW) estimates, because dual-energy X-ray absorptiometry (DEXA) and in vivo neutron activation (IVNA) systems cannot accommodate subjects with severe obesity. However, the 3C model assumption of a constant ratio (α) of mineral (M) to total body protein (TBPro) and related residual mass density (DRES) based on cadaver analyses might not be valid across groups differing in sex, race, age, and weight. The aim of this study was to derive new 3C model coefficients in vivo and to compare these estimates to those derived by Siri. Healthy adults ( n = 323) were evaluated with IVNA and DEXA and the measured components used to derive α and DRES. For all subjects combined, values of α and DRES (means ± SD, 0.351 ± 0.043; 1.565 ± 0.023 kg/l) were similar to Siri's proposed values of 0.35 and 1.565 kg/l, respectively. However, α and DRES varied significantly as a function of sex, race, weight, and age. Expected errors in percent body fat arising by application of Siri's model were illustrated in a second group of 264 adults, including some whose size exceeded DEXA limits but whose BV and TBW had been measured by hydrodensitometry and 2H2O dilution, respectively. Extrapolation of predictions by newly developed models to very high weights allows percent fat error estimation when Siri's model is applied in morbidly obese subjects. The present study results provide a critical evaluation of potential errors in the classic 3C model and present new formulas for use in selected populations.

Total Body Protein Status of Males Infected with the Human Immunodeficiency Virus

1993 ◽  
pp. 197-200 ◽  
Author(s):  
Christopher J. Oliver ◽  
Alex Rose ◽  
Ned Blagojevic ◽  
Robyn Dwyer ◽  
Julian Gold ◽  
...  
Keyword(s):  
Human Immunodeficiency Virus ◽  
Body Protein ◽  
Protein Status ◽  
Immunodeficiency Virus ◽  
Total Body

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.

scholarly journals Correlation Between Body Composition Analysis and Biochemical Nutritional Markers in Maintenance Hemodialysis Patients with Chronic Liver Disease

2020 ◽  
Vol 71 (11) ◽  
pp. 94-100
Author(s):  
Luciana Carmen Nitoi ◽  
Valeriu Ardeleanu ◽  
Anca Pantea Stoian ◽  
Lavinia Alexandra Moroianu
Keyword(s):  
Body Composition ◽  
Liver Disease ◽  
Nutritional Status ◽  
Chronic Liver Disease ◽  
The Body ◽  
Chronic Liver ◽  
Composition Analysis ◽  
Arterial Line ◽  
Body Protein ◽  
Total Body

Several approaches have been used to assess protein-energy wasting syndrome, such as clinical evaluation, biochemical nutritional markers, anthropometric measurements, but Bioelectrical Impedance Analysis (BIA) techniques hold a central place in clinical settings. The aim of this study is to report our clinical experience with BIA and the correlations between biochemical nutritional markers and BIA nutritional parameters in hemodialysis (HD) patients associating or free of chronic liver disease. This cross-sectional observational study included 69 HD patients divided into two groups: 33 with chronic liver disease (CLD+) versus 36 chronic liver disease-free (CLD-) from one HD unit in Romania. Serum albumin (SA), serum creatinine (SCr) and C-reactive protein (CRP) were obtained from the HD arterial line immediately before the HD session and by BIA the body composition including total body water (TBW), total body fat (TBF), lean fat free mass(LFFM), body muscular mass (BMM), malnutrition index and body protein reserve (PR) were assessed. No significant differences between groups were found in BCM, BMM, PR and TBF (p = 0.92, p = 0.60, p = 0.907, and p = 0.634, respectively). Malnutrition index had a significantly higher mean value in HD-CLD(+) patients (p = 0.00). HD-CLD(-) group showed a strong correlation between SA and SCr and BCM, BMM (kg), LFFM (kg) and body PR (kg) (r=.48, r=.50, r=.44, r=.50; resp. r=.42, r=.40, r=.36, r=.42). In HD-CLD(+) patients, a significant positive correlation was found between SA and SCr and LFFM and body PR (r=.37, r=.35; resp. r=.44, r=.35). Discussion: BIA is one of the most accurate techniques for assessing nutritional status and should be regularly used in clinical practice along with biochemical nutritional markers in HD patients. Although the protein metabolism depends to a large extent on liver function, CLD cannot be considered as having a significant impact on nutritional status in HD patients.

scholarly journals 349 Empty body composition and retained energy of Jersey steers using an aggressive implant strategy

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 95-95
Author(s):  
Tylo J Kirkpatrick ◽  
Kaitlyn Wesley ◽  
Sierra L Pillmore ◽  
Kimberly Cooper ◽  
Travis Tennant ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Crude Protein ◽  
Proximate Analysis ◽  
Negative Control ◽  
Feeding Period ◽  
Initial Body Weight ◽  
Body Protein ◽  
Total Body

Abstract This experiment was designed to quantify the empty body composition of Jersey steers administered an aggressive implant strategy. Jersey steers {n = 30; initial body weight (BW) 183 ± 43 kg} were randomly assigned to one of two implant strategies: negative control (CON), or implanted with Revalor 200 (200 mg trenbalone acetate / 20 mg estradiol 17-β; (REV) every 70 d (d 0, d 70, d 140, d 210, d 280, d 350) during a 420 d feeding period. Steers were harvested on d 421; 6 CON and 6 REV steers were randomly selected for collection of blood, hide, ground viscera, bone, and ground lean and fat to determine empty body composition. Proximate analysis was completed for each sample to determine total body percentages of moisture, crude protein, fat, and ash. Data were analyzed via independent t-test. Percentage empty body moisture (46.48% CON vs 49.69% REV) and empty body protein (15.32% CON vs 17.58% REV) were greater (P &lt; 0.01) in REV cattle. In contrast empty body fat (33.51% CON vs 26.93% REV) was greater (P &lt; 0.01) for CON cattle. Empty body ash did not differ (P &gt; 0.10; 4.69% CON vs 5.80% REV) between treatments. Negative control steers contained a total empty body protein to total empty body fat ratio of 0.44:1 compared to 0.62:1 for REV steers. These data suggest that an aggressive implant strategy alters composition of gain during the finishing of Jersey steers toward increased protein and decreased fat.

PREDICTING EMPTY BODY COMPOSITION OF CATTLE FROM CARCASS WEIGHT AND RIB CUT COMPOSITION

1975 ◽  
Vol 55 (3) ◽  
pp. 369-376 ◽  
Author(s):  
W. S. ALHASSAN ◽  
J. G. BUCHANAN-SMITH ◽  
W. R. USBORNE ◽  
G. C. SMITH ◽  
G. C. ASHTON
Keyword(s):  
Body Composition ◽  
Carcass Weight ◽  
Ether Extract ◽  
Body Protein ◽  
Linear Relationships ◽  
Body Weights ◽  
Body Component ◽  
Total Body Composition ◽  
Total Body ◽  
Body Energy

Data collected on 43 steers (25 predominantly Hereford breeding (H) and 18 predominantly Angus breeding (A)) were used to generate equations to predict total body composition of Angus and Hereford steers from measurements obtained at slaughter. Empty body fat (ether extract, EBF), kg was predicted from 9–11 rib cut fat (ether extract, RF), kg and warm carcass weight (WCW), kg by the following: H — steers, EBF = − 11.49 + 44.08 RF + 0.22 WCW (R2 = 0.96, CV = 10.07%) and A — steers, EBF = − 49.30 + 31.30 RF + 0.50 WCW (R2 = 0.94, CV = 9.40%). Total empty body energy (EBE) (Mcal) was predicted from 9–11 rib cut energy (RE, Mcal) and WCW (kg) by the following: H — steers, EBE = − 252.6 + 28.85 RE + 4.26 WCW (R2 = 0.94, CV = 10.15%) and A — steers, EBE = − 434.3 + 25.48 RE + 5.64 WCW (R2 = 0.94, CV = 8.02%). Prediction of EBF and EBE from RF and RE, respectively, differed (P = 0.05) between breeds whereas prediction from WCW did not. For all steers, EBF, kg and EBE, Mcal, respectively, were predicted from WCW, kg, by the following: EBF = − 63.71 + 0.704 WCW (r2 = 0.91, CV = 12.44%) and EBE = − 537.7 + 7.377 WCW (r2 = 0.92, CV = 10.0%). Body protein (BP), kg was predicted from WCW, kg by the following: H — steers, BP = 23.31 + 0.154 WCW (r2 = 0.83, CV = 6.04%) and A — steers, BP = 11.32 + 0.195 WCW (r2 = 0.93, CV = 5.29%). Prediction of BP was not significantly improved by the inclusion of 9–11 rib protein in the equation with WCW. Prediction of body water and ash from weights of rib cut water and ash, respectively, and warm carcass weight were unacceptable. Non-linear relationships between rib cut component weights and corresponding empty body weights as well as between WCW and empty body component weights were generally not significant (P = 0.05). Inclusion of kidney and pelvic fat weight in these equations did not greatly improve their accuracy.

Hydration of fat-free body in protein-depleted patients

1985 ◽  
Vol 249 (2) ◽  
pp. E227-E233 ◽  
Author(s):  
A. H. Beddoe ◽  
S. J. Streat ◽  
G. L. Hill
Keyword(s):  
Cell Mass ◽  
Protein A ◽  
Extracellular Fluid ◽  
The Body ◽  
Fat Free Mass ◽  
Body Protein ◽  
Mean Values ◽  
Free Body ◽  
Fluid Compartments ◽  
Total Body

It is widely believed that increased hydration of the fat-free body accompanies most major disease processes as a result of contraction of the body cell mass and expansion of the extracellular fluid. Measurements of total body water (TBW) and total body nitrogen in 68 normal volunteers and 95 surgical ward patients presenting for intravenous nutrition have been used to derive ratios of TBW to fat-free mass (TBW:FFM) and protein indices (PI), where PI is defined as the ratio of measured total body protein to predicted TBP. Mean values of PI were 1.009 +/- 0.116 (SD) and 0.783 +/- 0.152 in the normal and patient groups, respectively, corresponding to mean TBW:FFM ratios of 0.719 +/- 0.016 and 0.741 +/- 0.029. However, 48 patients had normal TBW:FFM despite having lost 15% of body protein. A theoretical model of body composition changes in catabolic illness is presented, which is in accord with the patient data, demonstrating that TBW:FFM does not necessarily increase in catabolic illness and that the ratio masks underlying shifts in body fluid compartments.

A new method for the estimation of the components of energy expenditure in patients with major trauma

1994 ◽  
Vol 267 (6) ◽  
pp. E1002-E1009 ◽  
Author(s):  
G. Franch-Arcas ◽  
L. D. Plank ◽  
D. N. Monk ◽  
R. Gupta ◽  
K. Maher ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Critically Ill ◽  
Indirect Calorimetry ◽  
Critically Ill Patients ◽  
Major Trauma ◽  
Calorie Intake ◽  
Total Body Potassium ◽  
Body Protein ◽  
Total Body

The management of critically ill patients would be better understood if the total energy expenditure (TEE) and its components are known. To quantify the different components of energy expenditure in patients with major trauma, we used a technique combining measurements of body composition and oxygen consumption. We determined changes in body weight, total body water, total body protein, total body potassium, total body fat, and bone mineral content every 5 days over a 10-day period in a group of nine multiply injured patients. Resting energy expenditure was measured by indirect calorimetry (REEm), and a predicted value was obtained from total body potassium (REEp). TEE was assessed by adding the total calorie intake to the changes in body energy stores, and the activity energy expenditure (AEE) was calculated by subtracting REEm from TEE. Mean daily values for REEm, REEp, TEE, and AEE were 2,236 +/- 140, 1,683 +/- 82, 3,029 +/- 276, and 793 +/- 213 kcal/day, respectively, over the 10-day study period. Although not statistically significant, the mean AEE was four times smaller for the first 5 days of study than for the second 5 days (298 +/- 400 vs. 1,254 +/- 588 kcal/day). The technique of combining indirect calorimetry and body composition measurements offers a new approach to evaluate energy expenditure and a new way to study metabolic disorders and therapeutic strategies in critically ill patients.

scholarly journals Determining Ideal Balance Among Branched-Chain Amino Acids (BCAA) as a Proof of Concept Study in Healthy Children

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1068-1068
Author(s):  
Haneen Saleemani ◽  
Rajavel Elango ◽  
Gabriella Horvath ◽  
Sylvia Stockler
Keyword(s):  
Protein Synthesis ◽  
Future Research ◽  
Acid Oxidation ◽  
P Value ◽  
Healthy Children ◽  
Proof Of Concept ◽  
Body Protein ◽  
Wide Range ◽  
Medical Foods ◽  
Total Body

Abstract Objectives Medical foods for children with in-born errors of metabolism (propionic academia, PROP) are formulated with imbalanced mixture of the BCAA (high leucine, to minimal or no valine and isoleucine), and therefore their use is controversial. The objective of the current study was to determine an ideal BCAA ratio at which total body protein synthesis is optimized in healthy children using the indicator amino acid oxidation (IAAO) method. Methods The study design was based on the oxidation of the stable isotope L-[1–,13C] phenylalanine to ,13CO2 to compare protein synthesis among seven different BCAA ratios. Leucine intake was gradually reduced from current high doses in medical foods; isoleucine and valine were kept constant. This study was done as a proof of concept in healthy children, to allow characterization of the metabolic responses to wide range of leucine test intakes, to help design narrow BCAA ratio range to test in children with PROP. Results A total of 8 healthy children were studied, completing 42 study days. ANOVA showed significant differences in F13CO2 with different BCAA ratios; P value &lt;0.001. A BCAA ratio of (leucine: Isoleucine: Valine = 1:0:0) was associated with the highest F13CO2 compared to other ratios (p value &lt;0.001), indicating low total body protein synthesis. By reducing leucine intake, with BCAA ratio between (1: 0.26: 0.28 to 1:0.35:0.4) protein synthesis was optimized. Conclusions Using the IAAO method in healthy children, we tested for the first time the effect of different BCAA ratios on protein synthesis. Results from this study confirmed that the BCAA ratio of (leucine: Isoleucine: Valine = 1:0:0), which is similar to the ratio in medical foods, limited total body protein synthesis. Furthermore, a balanced BCAA ratio that optimized protein synthesis was found to be between (1: 0.26: 0.28) and (1: 0.35:0.4). Thus, we propose reformulating the BCAA mixture in medical foods, by reducing leucine content by 50%. Future research in children with PROP with our proposed BCAA ratio is necessary to confirm improved patient growth outcomes. Funding Sources Faculty of Applied Medical Sciences, Department of Clinical Nutrition, King Abdulaziz University and BC Children's Hospital Research Institute.

Sign in / Sign up

Export Citation Format

Share Document