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      The Parkinson's progression markers initiative (PPMI) – establishing a PD biomarker cohort

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          Abstract

          Objective

          The Parkinson's Progression Markers Initiative ( PPMI) is an observational, international study designed to establish biomarker‐defined cohorts and identify clinical, imaging, genetic, and biospecimen Parkinson's disease ( PD) progression markers to accelerate disease‐modifying therapeutic trials.

          Methods

          A total of 423 untreated PD, 196 Healthy Control ( HC) and 64 SWEDD (scans without evidence of dopaminergic deficit) subjects were enrolled at 24 sites. To enroll PD subjects as early as possible following diagnosis, subjects were eligible with only asymmetric bradykinesia or tremor plus a dopamine transporter ( DAT) binding deficit on SPECT imaging. Acquisition of data was standardized as detailed at www.ppmi-info.org.

          Results

          Approximately 9% of enrolled subjects had a single PD sign at baseline. DAT imaging excluded 16% of potential PD subjects with SWEDD. The total MDSUPDRS for PD was 32.4 compared to 4.6 for HC and 28.2 for SWEDD. On average, PD subjects demonstrated 45% and 68% reduction in mean striatal and contralateral putamen Specific Binding Ratios ( SBR), respectively. Cerebrospinal fluid ( CSF) was acquired from >97% of all subjects. CSF (PD/HC/SWEDD pg/mL) α‐synuclein (1845/2204/2141) was reduced in PD vs HC or SWEDD ( < 0.03). Similarly, t‐tau (45/53) and p‐tau (16/18) were reduced in PD versus HC ( < 0.01),

          Interpretation

          PPMI has detailed the biomarker signature for an early PD cohort defined by clinical features and imaging biomarkers. This strategy provides the framework to establish biomarker cohorts and to define longitudinal progression biomarkers to support future PD treatment trials.

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          Most cited references28

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          The MoCA: well-suited screen for cognitive impairment in Parkinson disease.

          To establish the diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) when screening externally validated cognition in Parkinson disease (PD), by comparison with a PD-focused test (Scales for Outcomes in Parkinson disease-Cognition [SCOPA-COG]) and the standardized Mini-Mental State Examination (S-MMSE) as benchmarks. A convenience sample of 114 patients with idiopathic PD and 47 healthy controls was examined in a movement disorders center. The 21 patients with dementia (PD-D) were diagnosed using Movement Disorders Society criteria, externally validated by detailed independent functional and neuropsychological tests. The 21 patients with mild cognitive impairment (PD-MCI) scored 1.5 SD or more below normative data in at least 2 measures in 1 of 4 cognitive domains. Other patients had normal cognition (PD-N). Primary outcomes using receiver operating characteristic (ROC) curve analyses showed that all 3 mental status tests produced excellent discrimination of PD-D from patients without dementia (area under the curve [AUC], 87%-91%) and PD-MCI from PD-N patients (AUC, 78%-90%), but the MoCA was generally better suited across both assessments. The optimal MoCA screening cutoffs were <21/30 for PD-D (sensitivity 81%; specificity 95%; negative predictive value [NPV] 92%) and <26/30 for PD-MCI (sensitivity 90%; specificity 75%; NPV 95%). Further support that the MoCA is at least equivalent to the SCOPA-COG, and superior to the S-MMSE, came from the simultaneous classification of the 3 PD patient groups (volumes under a 3-dimensional ROC surface, chance = 17%: MoCA 79%, confidence interval [CI] 70%-89%; SCOPA-COG 74%, CI 62%-86%; MMSE-Sevens item 56%, CI 44%-68%; MMSE-World item 62%, CI 50%-73%). The MoCA is a suitably accurate, brief test when screening all levels of cognition in PD.
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            Some norms and reliability data for the State--Trait Anxiety Inventory and the Zung Self-Rating Depression scale.

            Means and standard deviations are reported for the State-Trait Anxiety Inventory and the Zung Self-Rating Depression scale, collected during the course of a general health survey. Data for different age samples and for both sexes are presented for use in the evaluation of the significance of anxiety and depression levels in patients presenting with these symptoms. High estimates of reliability based on internal consistency statistics were found for all scales. Females scored more highly on both the measures and scores were inversely correlated with age, indicating the importance of specific and appropriate norms in assessing affective states.
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              Characterizing mild cognitive impairment in incident Parkinson disease: the ICICLE-PD study.

              To describe the frequency of mild cognitive impairment (MCI) in Parkinson disease (PD) in a cohort of newly diagnosed incident PD cases and the associations with a panel of biomarkers. Between June 2009 and December 2011, 219 subjects with PD and 99 age-matched controls participated in clinical and neuropsychological assessments as part of a longitudinal observational study. Consenting individuals underwent structural MRI, lumbar puncture, and genotyping for common variants of COMT, MAPT, SNCA, BuChE, EGF, and APOE. PD-MCI was defined with reference to the new Movement Disorder Society criteria. The frequency of PD-MCI was 42.5% using level 2 criteria at 1.5 SDs below normative values. Memory impairment was the most common domain affected, with 15.1% impaired at 1.5 SDs. Depression scores were significantly higher in those with PD-MCI than the cognitively normal PD group. A significant correlation was found between visual Pattern Recognition Memory and cerebrospinal β-amyloid 1-42 levels (β standardized coefficient = 0.350; p = 0.008) after controlling for age and education in a linear regression model, with lower β-amyloid 1-42 and 1-40 levels observed in those with PD-MCI. Voxel-based morphometry did not reveal any areas of significant gray matter loss in participants with PD-MCI compared with controls, and no specific genotype was associated with PD-MCI at the 1.5-SD threshold. In a large cohort of newly diagnosed PD participants, PD-MCI is common and significantly correlates with lower cerebrospinal β-amyloid 1-42 and 1-40 levels. Future longitudinal studies should enable us to determine those measures predictive of cognitive decline.
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                Author and article information

                Contributors
                kmarek@indd.org
                Journal
                Ann Clin Transl Neurol
                Ann Clin Transl Neurol
                10.1002/(ISSN)2328-9503
                ACN3
                Annals of Clinical and Translational Neurology
                John Wiley and Sons Inc. (Hoboken )
                2328-9503
                31 October 2018
                December 2018
                : 5
                : 12 ( doiID: 10.1002/acn3.2018.5.issue-12 )
                : 1460-1477
                Affiliations
                [ 1 ] Institute for Neurodegenerative Disorders New Haven Connecticut
                [ 2 ] The Michael J. Fox Foundation for Parkinson's Research New York New York
                [ 3 ] University of Pennsylvania Philadelphia Pennsylvania
                [ 4 ] University of Iowa Iowa City Iowa
                [ 5 ] Northwestern University Chicago Illinois
                [ 6 ] Eli Lilly and Company New York New York
                [ 7 ] University of California San Francisco California
                [ 8 ] National Institute on Aging NIH Bethesda Maryland
                [ 9 ] Clinical Trials Coordination Center University of Rochester Rochester New York
                [ 10 ] Paracelsus‐Elena Klinik Kassel Germany
                [ 11 ] University of California San Diego California
                [ 12 ] Indiana University Indianapolis Indianapolis
                [ 13 ] Stanford University Medical Center Stanford California
                Author notes
                [*] [* ] Correspondence

                Kenneth Marek, Institute for Neurodegerative Disorders, 60 Temple St, Suite 8A, New Haven, CT 06510. Tel: 203 4014353; Fax 203 401 4301; E‐mail: kmarek@ 123456indd.org

                [†]

                Parkinson's Progression Markers Initiative Authors.

                Article
                ACN3644
                10.1002/acn3.644
                6292383
                30564614
                da062f9e-a99e-4c63-bf31-656a028b8f38
                © 2018 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 22 February 2018
                : 30 July 2018
                : 03 August 2018
                Page count
                Figures: 1, Tables: 6, Pages: 18, Words: 14346
                Funding
                Funded by: Bristol‐Myers Squibb
                Funded by: Covance
                Funded by: Eli Lilly and Company
                Funded by: Biogen
                Funded by: Genentech
                Funded by: UCB
                Funded by: F. Hoffmann‐La Roche
                Funded by: GE Healthcare
                Funded by: Avid Radiopharmaceuticals
                Funded by: Michael J. Fox Foundation for Parkinson's Research
                Funded by: Merck
                Funded by: Lundbeck
                Funded by: GlaxoSmithKline
                Funded by: Piramal
                Funded by: Meso Scale Diagnostics
                Funded by: Pfizer
                Funded by: AbbVie
                This work was funded by Bristol‐Myers Squibb grant ; Covance grant ; Eli Lilly and Company grant ; Biogen grant ; Genentech grant ; UCB grant ; F. Hoffmann‐La Roche grant ; GE Healthcare grant ; Avid Radiopharmaceuticals grant ; Michael J. Fox Foundation for Parkinson's Research grant ; Merck grant ; Lundbeck grant ; GlaxoSmithKline grant ; Piramal grant ; Meso Scale Diagnostics grant ; Pfizer grant ; AbbVie grant .
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                acn3644
                December 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.4 mode:remove_FC converted:13.12.2018

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