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Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease

Unexplained weight changes that occur in Parkinson’s disease (PD), are often neglected and remain a poorly understood non-motor feature in patients with PD. A specific ‘Park-weight’ phenotype with low body weight has been described, and our aim was to evaluate the clinical and prognostic trajectorie...

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Autores principales: Urso, Daniele, van Wamelen, Daniel J., Batzu, Lucia, Leta, Valentina, Staunton, Juliet, Pineda-Pardo, José A., Logroscino, Giancarlo, Sharma, Jagdish, Ray Chaudhuri, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345874/
https://www.ncbi.nlm.nih.gov/pubmed/35918350
http://dx.doi.org/10.1038/s41531-022-00362-3
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author Urso, Daniele
van Wamelen, Daniel J.
Batzu, Lucia
Leta, Valentina
Staunton, Juliet
Pineda-Pardo, José A.
Logroscino, Giancarlo
Sharma, Jagdish
Ray Chaudhuri, K.
author_facet Urso, Daniele
van Wamelen, Daniel J.
Batzu, Lucia
Leta, Valentina
Staunton, Juliet
Pineda-Pardo, José A.
Logroscino, Giancarlo
Sharma, Jagdish
Ray Chaudhuri, K.
author_sort Urso, Daniele
collection PubMed
description Unexplained weight changes that occur in Parkinson’s disease (PD), are often neglected and remain a poorly understood non-motor feature in patients with PD. A specific ‘Park-weight’ phenotype with low body weight has been described, and our aim was to evaluate the clinical and prognostic trajectories and biomarkers of weight variability in PD. We evaluated body weight-related biomarkers in 405 de novo PD patients and 187 healthy controls (HC) over a 5-year follow-up period from the PPMI database. Body-weight variability was defined as intra-individual variability in body weight between visits. PD patients were categorized as weight losers, gainers, or patients with stable weight. The differential progression of motor and non-motor clinical variables between groups was explored using linear mixed-effects models. Finally, we estimated longitudinal changes in weight as a function of baseline and longitudinal striatal presynaptic dopaminergic transporter imaging. PD patients presented a greater weight variability compared to HC (p = 0.003). Patients who developed weight loss had lower CSF amyloid-beta 1–42 (p = 0.009) at baseline. In addition, patients with weight loss showed a faster cognitive decline (p = 0.001), whereas patients with weight gain showed a slower motor progression (p = 0.001), compared to patients with stable weight. Baseline right striatal denervation was a predictor of weight variability in both PD patients and HC (p < 0.001). Similarly, weight variability in PD patients was associated with the progression of right striatal denervation (p < 0.001). Weight variability and specifically weight loss are more frequent in PD compared to HC, and are associated with specific motor, non-motor and cognitive progression patterns. A greater CSF amyloid burden was present at baseline in patients with subsequent weight loss. Presynaptic dopaminergic imaging in the right striatum may serve as a predictor of future weight changes in PD and HC.
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spelling pubmed-93458742022-08-04 Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease Urso, Daniele van Wamelen, Daniel J. Batzu, Lucia Leta, Valentina Staunton, Juliet Pineda-Pardo, José A. Logroscino, Giancarlo Sharma, Jagdish Ray Chaudhuri, K. NPJ Parkinsons Dis Article Unexplained weight changes that occur in Parkinson’s disease (PD), are often neglected and remain a poorly understood non-motor feature in patients with PD. A specific ‘Park-weight’ phenotype with low body weight has been described, and our aim was to evaluate the clinical and prognostic trajectories and biomarkers of weight variability in PD. We evaluated body weight-related biomarkers in 405 de novo PD patients and 187 healthy controls (HC) over a 5-year follow-up period from the PPMI database. Body-weight variability was defined as intra-individual variability in body weight between visits. PD patients were categorized as weight losers, gainers, or patients with stable weight. The differential progression of motor and non-motor clinical variables between groups was explored using linear mixed-effects models. Finally, we estimated longitudinal changes in weight as a function of baseline and longitudinal striatal presynaptic dopaminergic transporter imaging. PD patients presented a greater weight variability compared to HC (p = 0.003). Patients who developed weight loss had lower CSF amyloid-beta 1–42 (p = 0.009) at baseline. In addition, patients with weight loss showed a faster cognitive decline (p = 0.001), whereas patients with weight gain showed a slower motor progression (p = 0.001), compared to patients with stable weight. Baseline right striatal denervation was a predictor of weight variability in both PD patients and HC (p < 0.001). Similarly, weight variability in PD patients was associated with the progression of right striatal denervation (p < 0.001). Weight variability and specifically weight loss are more frequent in PD compared to HC, and are associated with specific motor, non-motor and cognitive progression patterns. A greater CSF amyloid burden was present at baseline in patients with subsequent weight loss. Presynaptic dopaminergic imaging in the right striatum may serve as a predictor of future weight changes in PD and HC. Nature Publishing Group UK 2022-08-02 /pmc/articles/PMC9345874/ /pubmed/35918350 http://dx.doi.org/10.1038/s41531-022-00362-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Urso, Daniele
van Wamelen, Daniel J.
Batzu, Lucia
Leta, Valentina
Staunton, Juliet
Pineda-Pardo, José A.
Logroscino, Giancarlo
Sharma, Jagdish
Ray Chaudhuri, K.
Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
title Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
title_full Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
title_fullStr Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
title_full_unstemmed Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
title_short Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
title_sort clinical trajectories and biomarkers for weight variability in early parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345874/
https://www.ncbi.nlm.nih.gov/pubmed/35918350
http://dx.doi.org/10.1038/s41531-022-00362-3
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