Literature DB >> 27665038

Body fat distribution in Parkinson's disease: An MRI-based body fat quantification study.

Denise Bernhardt1, Hans-Peter Müller2, Albert C Ludolph3, Luc Dupuis4, Jan Kassubek5.   

Abstract

INTRODUCTION: There is some evidence that Parkinson's Disease (PD) patients have lower body weight and lower fat mass when compared to healthy subjects and that lower body weight and fat mass influence disease risk and progression. It remains unclear, however, if weight loss of fat mass loss occurs only in a subgroup of patients and whether fat distribution is altered during PD. The aim of this study was to prospectively investigate adipose tissue content and distribution in PD patients.
METHODS: The body fat composition of PD patients (N = 54) was compared with age matched healthy controls (N = 55) using a magnetic resonance imaging (MRI)-based method. A longitudinal MRI scan was acquired in 25 PD patients after a mean follow up period of 12 months.
RESULTS: The volume of total body fat as well as of visceral fat showed no difference between PD patients and healthy controls at baseline or at follow up. However, PD patients displayed decreased subcutaneous fat tissue (p = 0.01) and a higher visceral to subcutaneous fat ratio as compared to controls (p = 0.004). After follow up, 16 PD patients did not lose weight, while 9 PD patients lost between 0.5 and 10 kg.
CONCLUSION: Fat distribution is altered in PD patients, with an increased ratio of visceral to subcutaneous fat.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Body fat distribution; Magnetic resonance imaging; Metabolism; Parkinson's disease; Weight loss

Mesh:

Substances:

Year:  2016        PMID: 27665038     DOI: 10.1016/j.parkreldis.2016.09.016

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  10 in total

1.  Nutritional status and dynapenia in people living with Parkinson's disease: a cross-sectional study.

Authors:  Luís César de Medeiros; Marcella Campos Lima da Luz; Jarson Pedro da Costa Pereira; Gleyce Kelly Araújo Bezerra; Poliana Coelho Cabral
Journal:  Neurol Sci       Date:  2021-10-22       Impact factor: 3.307

2.  Sarcopenia, dynapenia, and body composition in Parkinson's disease: are they good predictors of disability?: a case-control study.

Authors:  Firuzan Fırat Ozer; Sibel Akın; Murat Gultekin; Gozde Erturk Zararsız
Journal:  Neurol Sci       Date:  2019-10-03       Impact factor: 3.307

3.  Modulation of Alpha-synuclein Expression and Associated Effects by MicroRNA Let-7 in Transgenic C. elegans.

Authors:  Lalit Kumar; Aamir Nazir
Journal:  Front Mol Neurosci       Date:  2017-10-13       Impact factor: 5.639

Review 4.  Axonal Degeneration during Aging and Its Functional Role in Neurodegenerative Disorders.

Authors:  Natalia Salvadores; Mario Sanhueza; Patricio Manque; Felipe A Court
Journal:  Front Neurosci       Date:  2017-09-04       Impact factor: 4.677

5.  Body Posture, Postural Stability, and Metabolic Age in Patients with Parkinson's Disease.

Authors:  Jacek Wilczyński; Agnieszka Pedrycz; Dariusz Mucha; Tadeusz Ambroży; Dawid Mucha
Journal:  Biomed Res Int       Date:  2017-06-27       Impact factor: 3.411

6.  Comparison of computer-key-hold-time and alternating-finger-tapping tests for early-stage Parkinson's disease.

Authors:  Boon Leong Lan; Jacob Hsiao Wen Yeo
Journal:  PLoS One       Date:  2019-06-27       Impact factor: 3.240

7.  Altered Body Composition of Psoas and Thigh Muscles in Relation to Frailty and Severity of Parkinson's Disease.

Authors:  Pi-Ling Chiang; Yueh-Sheng Chen; And Wei-Che Lin
Journal:  Int J Environ Res Public Health       Date:  2019-09-29       Impact factor: 3.390

8.  Untangling the relationship between fat distribution, nutritional status and Parkinson's disease severity.

Authors:  Maria S Pisciotta; Domenico Fusco; Giulia Grande; Vincenzo Brandi; Maria R Lo Monaco; Alice Laudisio; Graziano Onder; Anna R Bentivoglio; Diego Ricciardi; Roberto Bernabei; Giuseppe Zuccalà; Davide L Vetrano
Journal:  Aging Clin Exp Res       Date:  2019-03-15       Impact factor: 3.636

9.  Body fat compartment determination by encoder-decoder convolutional neural network: application to amyotrophic lateral sclerosis.

Authors:  Ina Vernikouskaya; Hans-Peter Müller; Dominik Felbel; Francesco Roselli; Albert C Ludolph; Jan Kassubek; Volker Rasche
Journal:  Sci Rep       Date:  2022-04-01       Impact factor: 4.379

10.  Evaluation of cerebrospinal fluid proteins as potential biomarkers for early stage Parkinson's disease diagnosis.

Authors:  Marcia Cristina T Dos Santos; Dieter Scheller; Claudia Schulte; Irene R Mesa; Peter Colman; Sarah R Bujac; Rosie Bell; Caroline Berteau; Luis Tosar Perez; Ingolf Lachmann; Daniela Berg; Walter Maetzler; Andre Nogueira da Costa
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.