Literature DB >> 26258692

Cerebrospinal Fluid Patterns and the Risk of Future Dementia in Early, Incident Parkinson Disease.

David C Bäckström1, Magdalena Eriksson Domellöf1, Jan Linder1, Bob Olsson2, Annika Öhrfelt2, Miles Trupp1, Henrik Zetterberg3, Kaj Blennow2, Lars Forsgren1.   

Abstract

IMPORTANCE: Alterations in cerebrospinal fluid (CSF) have been found in Parkinson disease (PD) and in PD dementia (PDD), but the prognostic importance of such changes is not well known. In vivo biomarkers for disease processes in PD are important for future development of disease-modifying therapies.
OBJECTIVE: To assess the diagnostic and prognostic value of a panel of CSF biomarkers in patients with early PD and related disorders. DESIGN, SETTING, AND PARTICIPANTS: Regional population-based, prospective cohort study of idiopathic parkinsonism that included patients diagnosed between January 1, 2004, and April 30, 2009, by a movement disorder team at a university hospital that represented the only neurology clinic in the region. Participants were 128 nondemented patients with new-onset parkinsonism (104 with PD, 11 with multiple system atrophy, and 13 with progressive supranuclear palsy) who were followed up for 5 to 9 years. At baseline, CSF from 30 healthy control participants was obtained for comparison. MAIN OUTCOMES AND MEASURES: Cerebrospinal fluid concentrations of neurofilament light chain protein, Aβ1-42, total tau, phosphorylated tau, α-synuclein, and heart fatty acid-binding protein were quantified by 2 blinded measurements (at baseline and after 1 year). Follow-up included an extensive neuropsychological assessment. As PD outcome variables, mild cognitive impairment and incident PDD were diagnosed based on published criteria.
RESULTS: Among the 128 study participants, the 104 patients with early PD had a different CSF pattern compared with the 13 patients with progressive supranuclear palsy (baseline area under the receiver operating characteristic curve, 0.87; P < .0001) and the 30 control participants (baseline area under the receiver operating characteristic curve, 0.69; P = .0021). A CSF biomarker pattern associated with the development of PDD was observed. In PD, high neurofilament light chain protein, low Aβ1-42, and high heart fatty acid-binding protein at baseline were related to future PDD as analyzed by Cox proportional hazards regression models. Combined, these early biomarkers predicted PDD with high accuracy (hazard ratio, 11.8; 95% CI, 3.3-42.1; P = .0001) after adjusting for possible confounders. CONCLUSIONS AND RELEVANCE: The analyzed CSF biomarkers have potential usefulness as a diagnostic tool in patients with parkinsonism. In PD, high neurofilament light chain protein, low Aβ1-42, and high heart fatty acid-binding protein were related to future PDD, providing new insights into the etiology of PDD.

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Year:  2015        PMID: 26258692     DOI: 10.1001/jamaneurol.2015.1449

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  42 in total

Review 1.  Do CSF Biomarkers Predict Progression to Cognitive Impairment in Parkinson's disease patients? A Systematic Review.

Authors:  Katherine Leaver; Kathleen L Poston
Journal:  Neuropsychol Rev       Date:  2015-12-01       Impact factor: 7.444

Review 2.  Changes of cerebrospinal fluid Aβ42, t-tau, and p-tau in Parkinson's disease patients with cognitive impairment relative to those with normal cognition: a meta-analysis.

Authors:  Xiaohui Hu; Yan Yang; Daokai Gong
Journal:  Neurol Sci       Date:  2017-08-14       Impact factor: 3.307

Review 3.  Cognitive decline in Parkinson disease.

Authors:  Dag Aarsland; Byron Creese; Marios Politis; K Ray Chaudhuri; Dominic H Ffytche; Daniel Weintraub; Clive Ballard
Journal:  Nat Rev Neurol       Date:  2017-03-03       Impact factor: 42.937

4.  APOE genotype regulates pathology and disease progression in synucleinopathy.

Authors:  Albert A Davis; Casey E Inman; Zachary M Wargel; Umber Dube; Brittany M Freeberg; Alexander Galluppi; Jessica N Haines; Dhruva D Dhavale; Rebecca Miller; Fahim A Choudhury; Patrick M Sullivan; Carlos Cruchaga; Joel S Perlmutter; Jason D Ulrich; Bruno A Benitez; Paul T Kotzbauer; David M Holtzman
Journal:  Sci Transl Med       Date:  2020-02-05       Impact factor: 17.956

5.  Cerebrospinal fluid levels of neurofilament light chain in multiple system atrophy relative to Parkinson's disease: a meta-analysis.

Authors:  Xiaohui Hu; Yan Yang; Daokai Gong
Journal:  Neurol Sci       Date:  2016-11-28       Impact factor: 3.307

6.  APOE, thought disorder, and SPARE-AD predict cognitive decline in established Parkinson's disease.

Authors:  Thomas F Tropea; Sharon X Xie; Jacqueline Rick; Lana M Chahine; Nabila Dahodwala; Jimit Doshi; Christos Davatzikos; Leslie M Shaw; Vivianna Van Deerlin; John Q Trojanowski; Daniel Weintraub; Alice S Chen-Plotkin
Journal:  Mov Disord       Date:  2017-11-23       Impact factor: 10.338

Review 7.  Biomarkers for Parkinson's Disease: How Good Are They?

Authors:  Tianbai Li; Weidong Le
Journal:  Neurosci Bull       Date:  2019-10-23       Impact factor: 5.203

Review 8.  Precision Medicine: Clarity for the Complexity of Dementia.

Authors:  Brenna Cholerton; Eric B Larson; Joseph F Quinn; Cyrus P Zabetian; Ignacio F Mata; C Dirk Keene; Margaret Flanagan; Paul K Crane; Thomas J Grabowski; Kathleen S Montine; Thomas J Montine
Journal:  Am J Pathol       Date:  2015-12-24       Impact factor: 4.307

Review 9.  The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases.

Authors:  Filippo Baldacci; Sonia Mazzucchi; Alessandra Della Vecchia; Linda Giampietri; Nicola Giannini; Maya Koronyo-Hamaoui; Roberto Ceravolo; Gabriele Siciliano; Ubaldo Bonuccelli; Fanny M Elahi; Andrea Vergallo; Simone Lista; Filippo Sean Giorgi; Harald Hampel
Journal:  Expert Rev Mol Diagn       Date:  2020-02-27       Impact factor: 5.225

Review 10.  Neurofilaments in disease: what do we know?

Authors:  Brian A Gordon
Journal:  Curr Opin Neurobiol       Date:  2020-03-06       Impact factor: 6.627

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