Article (Scientific journals)
GBA variants in Parkinson’s disease: clinical, metabolomic and multimodal neuroimaging phenotypes
Greuel, Andrea; Trezzi, Jean-Pierre; Glaab, Enrico et al.
2020In Movement Disorders, 35 (12), p. 2201-2210
Peer Reviewed verified by ORBi
 

Files


Full Text
mds.28225.pdf
Publisher postprint (1.99 MB)
Download

The original publication is available at http://dx.doi.org/10.1002/mds.28225


All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
GBA; Parkinson's disease; genetics; metabolomics; neuroimaging; multimodal; functional; statistics
Abstract :
[en] Background: Alterations in the GBA gene (NM_000157.3) are the most important genetic risk factor for Parkinson’s disease. Biallelic GBA mutations cause the lysosomal storage disorder Gaucher´s disease. The GBA variants p.E365K and p.T408M are associated with Parkinson’s but not with Gaucher´s disease. The pathophysiological role of these variants needs to be further explored. Objective: This study analyzed the clinical, neuropsychological, metabolic and neuroimaging phenotypes of Parkinson’s disease patients carrying the GBA variants p.E365K and p.T408M. Methods: GBA was sequenced in 56 mid-stage Parkinson’s disease patients. Carriers of GBA variants were compared to non-carriers regarding clinical history and symptoms, neuropsychological features, metabolomics and multimodal neuroimaging. Blood plasma gas chromatography coupled to mass spectrometry, [18F]FDopa PET, [18F]FDG PET, and resting-state fMRI were performed. Results: Sequence analysis detected 13 heterozygous GBA variant carriers (seven with p.E365K, six with p.T408M). One patient carried a GBA mutation (p.N409S) and was excluded. Clinical history and symptoms were not significantly different between groups. Global cognitive performance was lower in variant carriers. Metabolomic group differences were suggestive of more severe Parkinson’s disease-related alterations in carriers versus non-carriers. [18F]FDopa and [18F]FDG PET showed signs of a more advanced disease; [18F]FDG PET and fMRI showed similarities with Lewy body dementia and Parkinson’s disease dementia in carriers. Conclusions: This is the first study to comprehensively assess (neuro-)biological phenotypes of GBA variants in Parkinson’s disease. Metabolomics and neuroimaging detected more significant group differences than clinical and behavioral evaluation. These alterations could be promising to monitor effects of disease-modifying treatments targeting glucocerebrosidase metabolism.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)
Disciplines :
Biotechnology
Neurology
Life sciences: Multidisciplinary, general & others
Author, co-author :
Greuel, Andrea
Trezzi, Jean-Pierre ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Glaab, Enrico  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Ruppert, Marina C.
Maier, Franziska
Jäger, Christian  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Hodak, Zdenka
Lohmann, Katja
Yilong, Ma
Eidelberg, David
Timmermann, Lars
Hiller, Karsten
Tittgemeyer, Marc
Drzezga, Alexander
Diederich, Nico
Eggers, Carsten
More authors (6 more) Less
External co-authors :
yes
Language :
English
Title :
GBA variants in Parkinson’s disease: clinical, metabolomic and multimodal neuroimaging phenotypes
Publication date :
2020
Journal title :
Movement Disorders
ISSN :
1531-8257
Publisher :
John Wiley & Sons, Hoboken, United States - New York
Volume :
35
Issue :
12
Pages :
2201-2210
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
FnR Project :
FNR11651464 - Multi-dimensional Stratification Of Parkinson'S Disease Patients For Personalised Interventions, 2017 (01/07/2018-30/06/2021) - Enrico Glaab
Name of the research project :
FNR11651464 > PD-Strat > Multi-dimensional stratification of Parkinson’s disease patients for personalised interventions > 01/07/2018 > 30/06/2021 > 2018 GLAAB Enrico
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 08 July 2020

Statistics


Number of views
178 (24 by Unilu)
Number of downloads
360 (5 by Unilu)

Scopus citations®
 
53
Scopus citations®
without self-citations
46
OpenCitations
 
36
WoS citations
 
48

Bibliography


Similar publications



Contact ORBilu