Literature DB >> 14532167

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

ZiMian Wang1, Marie-Pierre St-Onge, Beatriz Lecumberri, F Xavier Pi-Sunyer, Stanley Heshka, Jack Wang, Donald P Kotler, Dympna Gallagher, Lucian Wielopolski, Richard N Pierson, Steven B Heymsfield.   

Abstract

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 x TBK (mmol); or BCM = 0.0092 x TBK] gives BCM estimates approximately 11% higher than the classic Moore model (BCM = 0.0083 x 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.

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Year:  2003        PMID: 14532167     DOI: 10.1152/ajpendo.00227.2003

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


  24 in total

1.  A new total body potassium method to estimate total body skeletal muscle mass in children.

Authors:  ZiMian Wang; Stanley Heshka; Angelo Pietrobelli; Zhao Chen; Analiza M Silva; Luis B Sardinha; Jack Wang; Dympna Gallager; Steven B Heymsfield
Journal:  J Nutr       Date:  2007-08       Impact factor: 4.798

2.  Effects of daily hemodialysis on heart rate variability: results from the Frequent Hemodialysis Network (FHN) Daily Trial.

Authors:  Christopher T Chan; Glenn M Chertow; John T Daugirdas; Tom H Greene; Peter Kotanko; Brett Larive; Andreas Pierratos; John B Stokes
Journal:  Nephrol Dial Transplant       Date:  2013-09-26       Impact factor: 5.992

3.  Non-Linear Heart Rate Variability Indices in the Frequent Hemodialysis Network Trials of Chronic Hemodialysis Patients.

Authors:  Manuela Ferrario; Jochen G Raimann; Brett Larive; Andreas Pierratos; Stephan Thijssen; Sanjay Rajagopalan; Tom Greene; Sergio Cerutti; Gerald Beck; Christopher Chan; Peter Kotanko
Journal:  Blood Purif       Date:  2015-07-04       Impact factor: 2.614

4.  Body composition analysis: Cellular level modeling of body component ratios.

Authors:  Z Wang; S B Heymsfield; F X Pi-Sunyer; D Gallagher; R N Pierson
Journal:  Int J Body Compos Res       Date:  2008

5.  The distribution of cellular turnover in the human body.

Authors:  Ron Sender; Ron Milo
Journal:  Nat Med       Date:  2021-01-11       Impact factor: 53.440

6.  Agreement of single- and multi-frequency bioimpedance measurements in hemodialysis patients: an ancillary study of the Frequent Hemodialysis Network Daily Trial.

Authors:  Jochen G Raimann; Samer R Abbas; Li Liu; Fansan Zhu; Brett Larive; Peter Kotanko; Nathan W Levin; George A Kaysen
Journal:  Nephron Clin Pract       Date:  2014-11-07

7.  Proof-of-Principle to Measure Potassium in the Human Brain: A Feasibility Study.

Authors:  L Wielopolski; L M Ramirez; P K Coyle; Z M Wang; S B Heymsfield
Journal:  Int J Body Compos Res       Date:  2004

8.  A cellular level approach to predicting resting energy expenditure: Evaluation of applicability in adolescents.

Authors:  Zimian Wang; Steven B Heymsfield; Zhiliang Ying; Richard N Pierson; Dympna Gallagher; Sonia Gidwani
Journal:  Am J Hum Biol       Date:  2010 Jul-Aug       Impact factor: 1.937

9.  Effects of an oral ghrelin mimetic on body composition and clinical outcomes in healthy older adults: a randomized trial.

Authors:  Ralf Nass; Suzan S Pezzoli; Mary Clancy Oliveri; James T Patrie; Frank E Harrell; Jody L Clasey; Steven B Heymsfield; Mark A Bach; Mary Lee Vance; Michael O Thorner
Journal:  Ann Intern Med       Date:  2008-11-04       Impact factor: 25.391

10.  Predicting metabolic adaptation, body weight change, and energy intake in humans.

Authors:  Kevin D Hall
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-11-24       Impact factor: 4.310

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