Literature DB >> 10865788

Smaller organ tissue mass in the elderly fails to explain lower resting metabolic rate.

D Gallagher1, A Allen, Z Wang, S B Heymsfield, N Krasnow.   

Abstract

We previously reported our in vivo prediction of whole body resting energy expenditure (REE) using magnetic resonance imaging and echocardiography-derived organ volumes combined with published organ tissue metabolic rates. The models, developed in young healthy persons from predicted and measured variables, were highly correlated (e.g., calculated vs. measured REE, r = 0.92, p < 0.001), with no significant differences (p = NS) between them. This study employed the same approach to determine whether possible age-related decreases in organ tissue mass may account for the lower REE commonly reported in elderly persons. Measurements of REE (REEm) were acquired by indirect calorimetry. Calculated REE (REEc) models were developed from measured tissues and organs, and energy flux rates were assigned for each of the seven tissue/organ components, as reported by Elia. Older men (n = 6) and women (n = 7) had significantly lower REEm compared to REEc (p = 0.001). The magnitude of the differences were 13% and 9.5%, respectively, for men and women. These preliminary data suggest that factors other than organ atrophy may contribute to the lower metabolic rate of older persons. Further studies are required to investigate whether there is a reduction in the oxidative capacity of individual organs and tissues.

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Year:  2000        PMID: 10865788     DOI: 10.1111/j.1749-6632.2000.tb06499.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  25 in total

1.  Specific metabolic rates of major organs and tissues across adulthood: evaluation by mechanistic model of resting energy expenditure.

Authors:  Zimian Wang; Zhiliang Ying; Anja Bosy-Westphal; Junyi Zhang; Britta Schautz; Wiebke Later; Steven B Heymsfield; Manfred J Müller
Journal:  Am J Clin Nutr       Date:  2010-10-20       Impact factor: 7.045

2.  Smaller size of high metabolic rate organs explains lower resting energy expenditure in Asian-Indian Than Chinese men.

Authors:  L L T Song; K Venkataraman; P Gluckman; Y S Chong; M-W L Chee; C M Khoo; M-Ks Leow; Y S Lee; E S Tai; E Y H Khoo
Journal:  Int J Obes (Lond)       Date:  2015-11-16       Impact factor: 5.095

3.  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

4.  Repository Describing an Aging Population to Inform Physiologically Based Pharmacokinetic Models Considering Anatomical, Physiological, and Biological Age-Dependent Changes.

Authors:  Felix Stader; Marco Siccardi; Manuel Battegay; Hannah Kinvig; Melissa A Penny; Catia Marzolini
Journal:  Clin Pharmacokinet       Date:  2019-04       Impact factor: 6.447

5.  Small organs with a high metabolic rate explain lower resting energy expenditure in African American than in white adults.

Authors:  Dympna Gallagher; Jeanine Albu; Qing He; Stanley Heshka; Lawrence Boxt; Norman Krasnow; Marinos Elia
Journal:  Am J Clin Nutr       Date:  2006-05       Impact factor: 7.045

6.  Prediction of basal metabolic rate in patients with Prader-Willi syndrome.

Authors:  S Lazzer; G Grugni; G Tringali; A Sartorio
Journal:  Eur J Clin Nutr       Date:  2015-09-23       Impact factor: 4.016

7.  Metabolically active portion of fat-free mass: a cellular body composition level modeling analysis.

Authors:  ZiMian Wang; Stanley Heshka; Jack Wang; Dympna Gallagher; Paul Deurenberg; Zhao Chen; Steven B Heymsfield
Journal:  Am J Physiol Endocrinol Metab       Date:  2006-08-01       Impact factor: 4.310

8.  Obesity in the elderly: is faulty metabolism to blame?

Authors:  Darcy L Johannsen; Eric Ravussin
Journal:  Aging health       Date:  2010-04-01

Review 9.  Body composition changes with aging: the cause or the result of alterations in metabolic rate and macronutrient oxidation?

Authors:  Marie-Pierre St-Onge; Dympna Gallagher
Journal:  Nutrition       Date:  2009-12-08       Impact factor: 4.008

10.  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

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