Literature DB >> 21632191

Decreased resting energy expenditure in patients with Duchenne muscular dystrophy.

Mami Shimizu-Fujiwara1, Hirofumi Komaki, Eiji Nakagawa, Madoka Mori-Yoshimura, Yasushi Oya, Toshiyuki Fujisaki, Yasuko Tokita, Norika Kubota, Rie Shimazaki, Kimiko Sato, Tomoko Ishikawa, Katsumasa Goto, Hitoshi Mochizuki, Satoko Takanoha, Katsuhisa Ogata, Mitsuru Kawai, Masaaki Konagaya, Tatsushi Miyazaki, Katsunori Tatara, Kenji Sugai, Masayuki Sasaki.   

Abstract

BACKGROUND: Skeletal muscle metabolism is a major determinant of resting energy expenditure (REE). Although the severe muscle loss that characterizes Duchenne muscular dystrophy (DMD) may alter REE, this has not been extensively investigated.
METHODS: We studied REE in 77 patients with DMD ranging in age from 10 to 37 years using a portable indirect calorimeter, together with several clinical parameters (age, height, body weight (BW), body mass index (BMI), vital capacity (VC), creatine kinase, creatinine, albumin, cholinesterase, prealbumin), and assessed their influence on REE. In addition, in 12 patients maintaining a stable body weight, the ratio of energy intake to REE was calculated and defined as an alternative index for the physical activity level (aPAL).
RESULTS: REE (kcal/day, mean±SD) in DMD patients was 1123 (10-11 years), 1186±188 (12-14 years), 1146±214 (15-17 years), 1006±136 (18-29 years) and 1023±97 (≥30 years), each of these values being significantly lower than the corresponding control (p<0.0001). VC (p<0.001) was the parameter most strongly associated with REE, followed by BMI (p<0.01) and BW (p<0.05). The calculated aPAL values were 1.61 (10-11 years), 1.19 (12-14 years), 1.16 (15-17 years), and 1.57 (18-29 years).
CONCLUSION: The REE in DMD patients was significantly lower than the normal value in every age group, and strongly associated with VC. Both the low REE and PAL values during the early teens, resulting in a low energy requirement, might be related to the obesity that frequently occurs in this age group. In contrast, the high PAL value in the late stage of the disease, possibly due to the presence of respiratory failure, may lead to a high energy requirement, and thus become one of the risk factors for development of malnutrition. Copyright Â
© 2011 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21632191     DOI: 10.1016/j.braindev.2011.05.005

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  12 in total

Review 1.  Clinical management of Duchenne muscular dystrophy: the state of the art.

Authors:  Sonia Messina; Gian Luca Vita
Journal:  Neurol Sci       Date:  2018-09-14       Impact factor: 3.307

Review 2.  Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and neuromuscular, rehabilitation, endocrine, and gastrointestinal and nutritional management.

Authors:  David J Birnkrant; Katharine Bushby; Carla M Bann; Susan D Apkon; Angela Blackwell; David Brumbaugh; Laura E Case; Paula R Clemens; Stasia Hadjiyannakis; Shree Pandya; Natalie Street; Jean Tomezsko; Kathryn R Wagner; Leanne M Ward; David R Weber
Journal:  Lancet Neurol       Date:  2018-02-03       Impact factor: 44.182

3.  Energy Expenditure in Chilean Children with Maple Syrup Urine Disease (MSUD).

Authors:  Karen Campo; Gabriela Castro; Valerie Hamilton; Juan Francisco Cabello; Erna Raimann; Carolina Arias; Verónica Cornejo
Journal:  JIMD Rep       Date:  2015-10-13

4.  Muscular dystrophies at different ages: metabolic and endocrine alterations.

Authors:  Oriana Del Rocío Cruz Guzmán; Ana Laura Chávez García; Maricela Rodríguez-Cruz
Journal:  Int J Endocrinol       Date:  2012-06-03       Impact factor: 3.257

5.  Myocardial atrophy in children with mitochondrial disease and Duchenne muscular dystrophy.

Authors:  Tae Ho Lee; Lucy Youngmin Eun; Jae Young Choi; Hye Eun Kwon; Young-Mock Lee; Heung Dong Kim; Seong-Woong Kang
Journal:  Korean J Pediatr       Date:  2014-05-31

6.  Resting Energy Expenditure in Adults with Becker's Muscular Dystrophy.

Authors:  Matthew F Jacques; Paul Orme; Jonathon Smith; Christopher I Morse
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

7.  Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy.

Authors:  Amit Pande; Prasant Mohapatra; Alina Nicorici; Jay J Han
Journal:  JMIR Rehabil Assist Technol       Date:  2016-07-19

Review 8.  Nutritional Challenges in Duchenne Muscular Dystrophy.

Authors:  Simona Salera; Francesca Menni; Maurizio Moggio; Sophie Guez; Monica Sciacco; Susanna Esposito
Journal:  Nutrients       Date:  2017-06-10       Impact factor: 5.717

9.  Dystropathology increases energy expenditure and protein turnover in the mdx mouse model of duchenne muscular dystrophy.

Authors:  Hannah G Radley-Crabb; Juan C Marini; Horacio A Sosa; Liliana I Castillo; Miranda D Grounds; Marta L Fiorotto
Journal:  PLoS One       Date:  2014-02-19       Impact factor: 3.240

10.  Elevated GLUT4 and glycogenin protein abundance correspond to increased glycogen content in the soleus muscle of mdx mice with no benefit associated with taurine supplementation.

Authors:  Robert G Barker; Barnaby P Frankish; Hongyang Xu; Robyn M Murphy
Journal:  Physiol Rep       Date:  2018-03
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