Sex-Related Longitudinal Change of Motor, Non-Motor, and Biological Features in Early Parkinson's Disease.


Journal

Journal of Parkinson's disease
ISSN: 1877-718X
Titre abrégé: J Parkinsons Dis
Pays: Netherlands
ID NLM: 101567362

Informations de publication

Date de publication:
2022
Historique:
pubmed: 9 11 2021
medline: 28 4 2022
entrez: 8 11 2021
Statut: ppublish

Résumé

Investigation of sex-related motor and non-motor differences and biological markers in Parkinson's disease (PD) may improve precision medicine approach. To examine sex-related longitudinal changes in motor and non-motor features and biologic biomarkers in early PD. We compared 5-year longitudinal changes in de novo, untreated PD men and women (at baseline N = 423; 65.5%male) of the Parkinson's Progression Markers Initiative (PPMI), assessing motor and non-motor manifestations of disease; and biologic measures in cerebrospinal fluid (CSF) and dopamine transporter deficit on DaTscanTM uptake. Men experienced greater longitudinal decline in self-reported motor (p < 0.001) and non-motor (p = 0.009) aspects of experiences of daily living, such that men had a yearly increase in MDS-UPDRS part II by a multiplicative factor of 1.27 compared to women at 0.7, while men had a yearly increase in MDS-UPDRS part I by a multiplicative factor of 0.98, compared to women at 0.67. Compared to women, men had more longitudinal progression in clinician-assessed motor features in the ON medication state (p = 0.010) and required higher dopaminergic medication dosages over time (p = 0.014). Time to reach specific disease milestones and longitudinal changes in CSF biomarkers and DaTscanTM uptake were not different by sex. Men showed higher self-assessed motor and non-motor burden of disease, with possible contributions from suboptimal dopaminergic therapeutic response in men. However, motor features of disease evaluated with clinician-based scales in the OFF medication state, as well as biological biomarkers do not show specific sex-related progression patterns.

Sections du résumé

BACKGROUND
Investigation of sex-related motor and non-motor differences and biological markers in Parkinson's disease (PD) may improve precision medicine approach.
OBJECTIVE
To examine sex-related longitudinal changes in motor and non-motor features and biologic biomarkers in early PD.
METHODS
We compared 5-year longitudinal changes in de novo, untreated PD men and women (at baseline N = 423; 65.5%male) of the Parkinson's Progression Markers Initiative (PPMI), assessing motor and non-motor manifestations of disease; and biologic measures in cerebrospinal fluid (CSF) and dopamine transporter deficit on DaTscanTM uptake.
RESULTS
Men experienced greater longitudinal decline in self-reported motor (p < 0.001) and non-motor (p = 0.009) aspects of experiences of daily living, such that men had a yearly increase in MDS-UPDRS part II by a multiplicative factor of 1.27 compared to women at 0.7, while men had a yearly increase in MDS-UPDRS part I by a multiplicative factor of 0.98, compared to women at 0.67. Compared to women, men had more longitudinal progression in clinician-assessed motor features in the ON medication state (p = 0.010) and required higher dopaminergic medication dosages over time (p = 0.014). Time to reach specific disease milestones and longitudinal changes in CSF biomarkers and DaTscanTM uptake were not different by sex.
CONCLUSION
Men showed higher self-assessed motor and non-motor burden of disease, with possible contributions from suboptimal dopaminergic therapeutic response in men. However, motor features of disease evaluated with clinician-based scales in the OFF medication state, as well as biological biomarkers do not show specific sex-related progression patterns.

Identifiants

pubmed: 34744052
pii: JPD212892
doi: 10.3233/JPD-212892
pmc: PMC8842783
doi:

Substances chimiques

Biological Products 0
Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

421-436

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM139776
Pays : United States

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Auteurs

Marina Picillo (M)

Center for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry, Neuroscience Section, University of Salerno, Italy.

David-Erick LaFontant (DE)

Department of Biostatistics, The University of Iowa, Iowa City, IA, USA.

Susan Bressman (S)

Department of Neurology, Icahn School of Medicine at Mount Sinai and Mount Sinai Beth Israel, New York, NY, USA.

Chelsea Caspell-Garcia (C)

Department of Biostatistics, The University of Iowa, Iowa City, IA, USA.

Christopher Coffey (C)

Department of Biostatistics, The University of Iowa, Iowa City, IA, USA.

Hyunkeun Ryan Cho (HR)

Department of Biostatistics, The University of Iowa, Iowa City, IA, USA.

Elliot L Burghardt (EL)

Department of Biostatistics, The University of Iowa, Iowa City, IA, USA.

Nabila Dahodwala (N)

Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Rachel Saunders-Pullman (R)

Department of Neurology, Icahn School of Medicine at Mount Sinai and Mount Sinai Beth Israel, New York, NY, USA.

Caroline M Tanner (CM)

Weill Institute for Neuroscience, Department of Neurology, University of California-San Francisco, & Parkinson's Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.

Amy W Amara (AW)

Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.

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