Literature DB >> 26626621

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

Katherine Leaver1, Kathleen L Poston2,3.   

Abstract

Many patients with Parkinson's disease (PD) will develop cognitive impairment. Cross-sectional studies have shown that certain protein levels are altered in the cerebrospinal fluid (CSF) of PD patients with dementia and are thought to represent potential biomarkers of underlying pathogenesis. Recent studies suggest that CSF biomarker levels may be predictive of future risk of cognitive decline in non-demented PD patients. However, the strength of this evidence and difference between specific CSF biomarkers is not well delineated. We therefore performed a systematic review to assess if levels of specific CSF protein biomarkers are predictive of progression to cognitive impairment. Nine articles were identified that met inclusion criteria for the review. Findings from the review suggest a convergence of evidence that a low baseline Aβ42 in the CSF of non-demented PD patients predicts development of cognitive impairment over time. Conversely, there is limited evidence that CSF levels of tau, either total tau or phosphorylated tau, is a useful predictive biomarker. There are mixed results for other CSF biomarkers such as α-synuclein, Neurofilament light chain, and Heart fatty acid-binding protein. Overall the results of this review show that certain CSF biomarkers have better predictive ability to identify PD patients who are at risk for developing cognitive impairment. Given the interest in developing disease-modifying therapies, identifying this group will be important for clinical trials as initiation of therapy prior to the onset of cognitive decline is likely to be more efficacious.

Entities:  

Keywords:  CSF biomarkers; Cognition; Longitudinal; Parkinson’s Disease

Mesh:

Substances:

Year:  2015        PMID: 26626621      PMCID: PMC5152566          DOI: 10.1007/s11065-015-9307-8

Source DB:  PubMed          Journal:  Neuropsychol Rev        ISSN: 1040-7308            Impact factor:   7.444


  73 in total

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2.  Conversion from subtypes of mild cognitive impairment to Alzheimer dementia.

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Journal:  Neurology       Date:  2007-01-23       Impact factor: 9.910

3.  DATATOP: a multicenter controlled clinical trial in early Parkinson's disease. Parkinson Study Group.

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Journal:  Arch Neurol       Date:  1989-10

4.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.

Authors:  Leslie M Shaw; Hugo Vanderstichele; Malgorzata Knapik-Czajka; Christopher M Clark; Paul S Aisen; Ronald C Petersen; Kaj Blennow; Holly Soares; Adam Simon; Piotr Lewczuk; Robert Dean; Eric Siemers; William Potter; Virginia M-Y Lee; John Q Trojanowski
Journal:  Ann Neurol       Date:  2009-04       Impact factor: 10.422

5.  The Montreal cognitive assessment as a screening tool for cognitive impairment in Parkinson's disease.

Authors:  David J Gill; Arielle Freshman; Jennifer A Blender; Bernard Ravina
Journal:  Mov Disord       Date:  2008-05-15       Impact factor: 10.338

6.  Cut-off score of the Mattis Dementia Rating Scale for screening dementia in Parkinson's disease.

Authors:  Gisela Llebaria; Javier Pagonabarraga; Jaime Kulisevsky; Carmen García-Sánchez; Berta Pascual-Sedano; Alexandre Gironell; Mercè Martínez-Corral
Journal:  Mov Disord       Date:  2008-08-15       Impact factor: 10.338

7.  Accuracy of a panel of 5 cerebrospinal fluid biomarkers in the differential diagnosis of patients with dementia and/or parkinsonian disorders.

Authors:  Sara Hall; Annika Öhrfelt; Radu Constantinescu; Ulf Andreasson; Yulia Surova; Frederick Bostrom; Christer Nilsson; Widner Håkan; Hilde Decraemer; Katarina Någga; Lennart Minthon; Elisabet Londos; Eugeen Vanmechelen; Björn Holmberg; Henrik Zetterberg; Kaj Blennow; Oskar Hansson
Journal:  Arch Neurol       Date:  2012-11

Review 8.  Biological confounders for the values of cerebrospinal fluid proteins in Parkinson's disease and related disorders.

Authors:  Brit Mollenhauer; Lucilla Parnetti; Irena Rektorova; Milica G Kramberger; Maria Pikkarainen; Walter J Schulz-Schaeffer; Dag Aarsland; Per Svenningsson; Lucia Farotti; Marcel M Verbeek; Michael G Schlossmacher
Journal:  J Neurochem       Date:  2016-02-10       Impact factor: 5.372

9.  Differential role of CSF alpha-synuclein species, tau, and Aβ42 in Parkinson's Disease.

Authors:  Lucilla Parnetti; Lucia Farotti; Paolo Eusebi; Davide Chiasserini; Claudia De Carlo; David Giannandrea; Nicola Salvadori; Viviana Lisetti; Nicola Tambasco; Aroldo Rossi; Nour K Majbour; Omar El-Agnaf; Paolo Calabresi
Journal:  Front Aging Neurosci       Date:  2014-03-31       Impact factor: 5.750

Review 10.  Cognitive impairment in Parkinson's disease: the dual syndrome hypothesis.

Authors:  Angie A Kehagia; Roger A Barker; Trevor W Robbins
Journal:  Neurodegener Dis       Date:  2012-10-03       Impact factor: 2.977

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  10 in total

Review 1.  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

2.  An increased rate of longitudinal cognitive decline is observed in Parkinson's disease patients with low CSF Aß42 and an APOE ε4 allele.

Authors:  Marian Shahid; Jeehyun Kim; Katherine Leaver; Taylor Hendershott; Delphine Zhu; Brenna Cholerton; Victor W Henderson; Lu Tian; Kathleen L Poston
Journal:  Neurobiol Dis       Date:  2019-02-28       Impact factor: 5.996

3.  Characterization of Parkinson's Disease Subtypes and Related Attributes.

Authors:  Shamatree Shakya; Julia Prevett; Xiao Hu; Ran Xiao
Journal:  Front Neurol       Date:  2022-05-23       Impact factor: 4.086

Review 4.  Episodic recognition memory and the hippocampus in Parkinson's disease: A review.

Authors:  Tanusree Das; Jaclyn J Hwang; Kathleen L Poston
Journal:  Cortex       Date:  2018-12-04       Impact factor: 4.027

5.  Cognitive impairment in Parkinson's disease is associated with Default Mode Network subsystem connectivity and cerebrospinal fluid Aβ.

Authors:  Pardis Zarifkar; Jeehyun Kim; Christian La; Kai Zhang; Sophie YorkWilliams; Taylor F Levine; Lu Tian; Per Borghammer; Kathleen L Poston
Journal:  Parkinsonism Relat Disord       Date:  2021-01-12       Impact factor: 4.402

6.  Longitudinal Alterations of Alpha-Synuclein, Amyloid Beta, Total, and Phosphorylated Tau in Cerebrospinal Fluid and Correlations Between Their Changes in Parkinson's Disease.

Authors:  Mahsa Dolatshahi; Shayan Pourmirbabaei; Aida Kamalian; Amir Ashraf-Ganjouei; Mehdi Yaseri; Mohammad H Aarabi
Journal:  Front Neurol       Date:  2018-07-11       Impact factor: 4.003

Review 7.  Parkinson's Disease Biomarkers: Where Are We and Where Do We Go Next?

Authors:  Lana M Chahine; Matthew B Stern
Journal:  Mov Disord Clin Pract       Date:  2017-10-02

8.  c-Abl and Parkinson's Disease: Mechanisms and Therapeutic Potential.

Authors:  Saurav Brahmachari; Senthilkumar S Karuppagounder; Preston Ge; Saebom Lee; Valina L Dawson; Ted M Dawson; Han Seok Ko
Journal:  J Parkinsons Dis       Date:  2017       Impact factor: 5.568

Review 9.  Cognition Deficits in Parkinson's Disease: Mechanisms and Treatment.

Authors:  Congcong Fang; Longqin Lv; Shanping Mao; Huimin Dong; Baohui Liu
Journal:  Parkinsons Dis       Date:  2020-03-24

10.  High-Intensity Interval Cycle Ergometer Training in Parkinson's Disease: Protocol for Identifying Individual Response Patterns Using a Single-Subject Research Design.

Authors:  Erwin E H van Wegen; Mark A Hirsch; Wilma D J van de Berg; Chris Vriend; Marc B Rietberg; Mark A Newman; Tim Vanbellingen; Odile A van den Heuvel
Journal:  Front Neurol       Date:  2020-10-22       Impact factor: 4.003

  10 in total

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