Fatigue in Parkinson's Disease: A Proteomic Study of Cerebrospinal Fluid
Eidem, Live Egeland; Birkeland, Even; Austdal, Marie; Bårdsen, Kjetil; Lange, Johannes; Alves, Guido Werner; Berven, Frode Steingrimsen; Nilsen, Mari Mæland; Herlofson, Karen; Tysnes, Ole-Bjørn; Omdal, Roald
Peer reviewed, Journal article
Published version
Date
2024-01Metadata
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Original version
Eidem, L. E., Birkeland, E., Austdal, M., Bårdsen, K., Lange, J., Alves, G., ... & Omdal, R. (2024). Fatigue in Parkinson's Disease: A Proteomic Study of Cerebrospinal Fluid. Movement disorders: official journal of the Movement Disorder Society, 39(4), 749-751. 10.1002/mds.29715Abstract
Many factors have been linked to fatigue in patients with Parkinson's disease (PD), including age, female sex, disease severity, depression, cognition, sleep disturbances, activities of daily living, and the use of dopamine agonists.1, 2 While these sociodemographic and non-motor phenomena undoubtedly impact fatigue, they do not elucidate the molecular mechanisms underlying it. To the best of our knowledge, no previous studies have investigated the cerebrospinal fluid (CSF) proteome in patients with PD, specifically focusing on fatigue. Therefore, we aimed to perform an exploratory proteomic study of the CSF to gain more knowledge of the biological mechanisms of fatigue in this disease.
Patients with PD were recruited from the Norwegian ParkWest study.3 We dichotomized CSF samples into 10 patients with low and 9 with high fatigue scores for further label-free liquid chromatography with tandem mass spectrometry analyses (supplementary file for complete methods). Fatigue severity was assessed using the generic and unidimensional Fatigue Severity Scale (FSS) instrument.4
Supervised partial least squares discriminant analysis (PLS-DA) modeling was performed to optimize the separation between the two fatigue groups and simultaneously identify the proteins that contributed the most to this separation. A PLS-DA score plot (Fig. 1A) demonstrated the separation between the two groups (classification error rate 0.322 [permutation test P-value 0.474]).