Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data

Abstract Parkinson’s disease (PD) is a complex neurodegenerative disorder with diverse clinical manifestations. To better understand this disease, research has been done to categorize, or subtype, patients, using an array of criteria derived from clinical assessments and biospecimen analyses. In thi...

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Autores principales:	Matthew Brendel, Chang Su, Yu Hou, Claire Henchcliffe, Fei Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/937d13cc59a7492c96bf42afe721d192
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spelling	oai:doaj.org-article:937d13cc59a7492c96bf42afe721d1922021-12-02T18:02:07ZComprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data10.1038/s41531-021-00228-02373-8057https://doaj.org/article/937d13cc59a7492c96bf42afe721d1922021-09-01T00:00:00Zhttps://doi.org/10.1038/s41531-021-00228-0https://doaj.org/toc/2373-8057Abstract Parkinson’s disease (PD) is a complex neurodegenerative disorder with diverse clinical manifestations. To better understand this disease, research has been done to categorize, or subtype, patients, using an array of criteria derived from clinical assessments and biospecimen analyses. In this study, using data from the BioFIND cohort, we aimed at identifying subtypes of moderate-to-advanced PD via comprehensively considering motor and non-motor manifestations. A total of 103 patients were included for analysis. Through the use of a patient-wise similarity matrix fusion technique and hierarchical agglomerative clustering analysis, three unique subtypes emerged from the clustering results. Subtype I, comprised of 60 patients (~58.3%), was characterized by mild symptoms, both motor and non-motor. Subtype II, comprised of 20 (~19.4%) patients, was characterized by an intermediate severity, with a high tremor score and mild non-motor symptoms. Subtype III, comprised of 23 (~22.3%) patients, was characterized by more severe motor and non-motor symptoms. These subtypes show statistically significant differences when looking at motor (on and off medication) clinical features and non-motor clinical features, while there was no clear difference in demographics, biomarker levels, and genetic risk scores.Matthew BrendelChang SuYu HouClaire HenchcliffeFei WangNature PortfolioarticleNeurology. Diseases of the nervous systemRC346-429ENnpj Parkinson's Disease, Vol 7, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurology. Diseases of the nervous system RC346-429
spellingShingle	Neurology. Diseases of the nervous system RC346-429 Matthew Brendel Chang Su Yu Hou Claire Henchcliffe Fei Wang Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data
description	Abstract Parkinson’s disease (PD) is a complex neurodegenerative disorder with diverse clinical manifestations. To better understand this disease, research has been done to categorize, or subtype, patients, using an array of criteria derived from clinical assessments and biospecimen analyses. In this study, using data from the BioFIND cohort, we aimed at identifying subtypes of moderate-to-advanced PD via comprehensively considering motor and non-motor manifestations. A total of 103 patients were included for analysis. Through the use of a patient-wise similarity matrix fusion technique and hierarchical agglomerative clustering analysis, three unique subtypes emerged from the clustering results. Subtype I, comprised of 60 patients (~58.3%), was characterized by mild symptoms, both motor and non-motor. Subtype II, comprised of 20 (~19.4%) patients, was characterized by an intermediate severity, with a high tremor score and mild non-motor symptoms. Subtype III, comprised of 23 (~22.3%) patients, was characterized by more severe motor and non-motor symptoms. These subtypes show statistically significant differences when looking at motor (on and off medication) clinical features and non-motor clinical features, while there was no clear difference in demographics, biomarker levels, and genetic risk scores.
format	article
author	Matthew Brendel Chang Su Yu Hou Claire Henchcliffe Fei Wang
author_facet	Matthew Brendel Chang Su Yu Hou Claire Henchcliffe Fei Wang
author_sort	Matthew Brendel
title	Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data
title_short	Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data
title_full	Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data
title_fullStr	Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data
title_full_unstemmed	Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data
title_sort	comprehensive subtyping of parkinson’s disease patients with similarity fusion: a case study with biofind data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/937d13cc59a7492c96bf42afe721d192
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Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data

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