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      Specifically neuropathic Gaucher's mutations accelerate cognitive decline in Parkinson's

      research-article
      , PhD 1 , 2 , , MD 3 , 4 , , PhD 1 , 5 , , MS 6 , 7 , , PhD 8 , , MS, HBS, CamPaIGN, PICNICS, PROPARK, PSG, DIGPD 9 , , MD, PhD 10 , 11 , , MD 12 , , MD 13 , , MD, PhD 14 , , MD 12 , , MD, PhD 12 , , PhD 8 , , PhD 6 , 7 , , PhD 14 , , PhD 8 , , MD 1 , 2 , 3 , 4 , 5 , , for the International Genetics of Parkinson Disease Progression (IGPP) Consortium , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
      Annals of Neurology
      John Wiley and Sons Inc.

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          Abstract

          Objective

          We hypothesized that specific mutations in the β‐glucocerebrosidase gene ( GBA) causing neuropathic Gaucher's disease (GD) in homozygotes lead to aggressive cognitive decline in heterozygous Parkinson's disease (PD) patients, whereas non‐neuropathic GD mutations confer intermediate progression rates.

          Methods

          A total of 2,304 patients with PD and 20,868 longitudinal visits for up to 12.8 years (median, 4.1) from seven cohorts were analyzed. Differential effects of four types of genetic variation in GBA on longitudinal cognitive decline were evaluated using mixed random and fixed effects and Cox proportional hazards models.

          Results

          Overall, 10.3% of patients with PD and GBA sequencing carried a mutation. Carriers of neuropathic GD mutations (1.4% of patients) had hazard ratios (HRs) for global cognitive impairment of 3.17 (95% confidence interval [CI], 1.60–6.25) and a hastened decline in Mini–Mental State Exam scores compared to noncarriers ( p = 0.0009). Carriers of complex GBA alleles (0.7%) had an HR of 3.22 (95% CI, 1.18–8.73; p = 0.022). By contrast, the common, non‐neuropathic N370S mutation (1.5% of patients; HR, 1.96; 95% CI, 0.92–4.18) or nonpathogenic risk variants (6.6% of patients; HR, 1.36; 95% CI, 0.89–2.05) did not reach significance.

          Interpretation

          Mutations in the GBA gene pathogenic for neuropathic GD and complex alleles shift longitudinal cognitive decline in PD into “high gear.” These findings suggest a relationship between specific types of GBA mutations and aggressive cognitive decline and have direct implications for improving the design of clinical trials. Ann Neurol 2016;80:674–685

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          Most cited references28

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          Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease.

          Due to the high prevalence of mild cognitive impairment (MCI) and dementia in Parkinson disease (PD), routine cognitive screening is important for the optimal management of patients with PD. The Montreal Cognitive Assessment (MoCA) is more sensitive than the commonly used Mini-Mental State Examination (MMSE) in detecting MCI and dementia in patients without PD, but its validity in PD has not been established. A representative sample of 132 patients with PD at 2 movement disorders centers was administered the MoCA, MMSE, and a neuropsychological battery with operationalized criteria for deficits. MCI and PD dementia (PDD) criteria were applied by an investigator blinded to the MoCA and MMSE results. The discriminant validity of the MoCA and MMSE as screening and diagnostic instruments was ascertained. Approximately one third of the sample met diagnostic criteria for a cognitive disorder (12.9% PDD and 17.4% MCI). Mean (SD) MoCA and MMSE scores were 25.0 (3.8) and 28.1 (2.0). The overall discriminant validity for detection of any cognitive disorder was similar for the MoCA and the MMSE (receiver operating characteristic area under the curve [95% confidence interval]): MoCA (0.79 [0.72, 0.87]) and MMSE (0.76 [0.67, 0.85]), but as a screening instrument the MoCA (optimal cutoff point = 26/27, 64% correctly diagnosed, lack of ceiling effect) was superior to the MMSE (optimal cutoff point = 29/30, 54% correctly diagnosed, presence of ceiling effect). The Montreal Cognitive Assessment, but not the Mini-Mental State Examination, has adequate psychometric properties as a screening instrument for the detection of mild cognitive impairment or dementia in Parkinson disease. However, a positive screen using either instrument requires additional assessment due to suboptimal specificity at the recommended screening cutoff point.
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            The distinct cognitive syndromes of Parkinson's disease: 5 year follow-up of the CamPaIGN cohort.

            Cognitive abnormalities are common in Parkinson's disease, with important social and economic implications. Factors influencing their evolution remain unclear but are crucial to the development of targeted therapeutic strategies. We have investigated the development of cognitive impairment and dementia in Parkinson's disease using a longitudinal approach in a population-representative incident cohort (CamPaIGN study, n = 126) and here present the 5-year follow-up data from this study. Our previous work has implicated two genetic factors in the development of cognitive dysfunction in Parkinson's disease, namely the genes for catechol-O-methyltransferase (COMT Val(158)Met) and microtubule-associated protein tau (MAPT) H1/H2. Here, we have explored the influence of these genes in our incident cohort and an additional cross-sectional prevalent cohort (n = 386), and investigated the effect of MAPT H1/H2 haplotypes on tau transcription in post-mortem brain samples from patients with Lewy body disease and controls. Seventeen percent of incident patients developed dementia over 5 years [incidence 38.7 (23.9-59.3) per 1000 person-years]. We have demonstrated that three baseline measures, namely, age >or=72 years, semantic fluency less than 20 words in 90 s and inability to copy an intersecting pentagons figure, are significant predictors of dementia risk, thus validating our previous findings. In combination, these factors had an odds ratio of 88 for dementia within the first 5 years from diagnosis and may reflect the syndrome of mild cognitive impairment of Parkinson's disease. Phonemic fluency and other frontally based tasks were not associated with dementia risk. MAPT H1/H1 genotype was an independent predictor of dementia risk (odds ratio = 12.1) and the H1 versus H2 haplotype was associated with a 20% increase in transcription of 4-repeat tau in Lewy body disease brains. In contrast, COMT genotype had no effect on dementia, but a significant impact on Tower of London performance, a frontostriatally based executive task, which was dynamic, such that the ability to solve this task changed with disease progression. Hence, we have identified three highly informative predictors of dementia in Parkinson's disease, which can be easily translated into the clinic, and established that MAPT H1/H1 genotype is an important risk factor with functional effects on tau transcription. Our work suggests that the dementing process in Parkinson's disease is predictable and related to tau while frontal-executive dysfunction evolves independently with a more dopaminergic basis and better prognosis.
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              The accuracy of diagnosis of parkinsonian syndromes in a specialist movement disorder service.

              We have reviewed the clinical and pathological diagnoses of 143 cases of parkinsonism seen by neurologists associated with the movement disorders service at The National Hospital for Neurology and Neurosurgery in London who came to neuropathological examination at the United Kingdom Parkinson's Disease Society Brain Research Centre, over a 10-year period between 1990 and the end of 1999. Seventy-three (47 male, 26 female) cases were diagnosed as having idiopathic Parkinson's disease (IPD) and 70 (42 male, 28 female) as having another parkinsonian syndrome. The positive predictive value of the clinical diagnosis for the whole group was 85.3%, with 122 cases correctly clinically diagnosed. The positive predictive value of the clinical diagnosis of IPD was extremely high, at 98.6% (72 out of 73), while for the other parkinsonian syndromes it was 71.4% (50 out of 70). The positive predictive values of a clinical diagnosis of multiple system atrophy (MSA) and progressive supranuclear palsy (PSP) were 85.7 (30 out of 35) and 80% (16 out of 20), respectively. The sensitivity for IPD was 91.1%, due to seven false-negative cases, with 72 of the 79 pathologically established cases being diagnosed in life. For MSA, the sensitivity was 88.2% (30 out of 34), and for PSP it was 84.2% (16 out of 19). The diagnostic accuracy for IPD, MSA and PSP was higher than most previous prospective clinicopathological series and studies using the retrospective application of clinical diagnostic criteria. The seven false-negative cases of IPD suggest a broader clinical picture of disease than previously thought acceptable. This study implies that neurologists with particular expertise in the field of movement disorders may be using a method of pattern recognition for diagnosis which goes beyond that inherent in any formal set of diagnostic criteria.
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                Author and article information

                Contributors
                cscherzer@rics.bwh.harvard.edu
                Journal
                Ann Neurol
                Ann. Neurol
                10.1002/(ISSN)1531-8249
                ANA
                Annals of Neurology
                John Wiley and Sons Inc. (Hoboken )
                0364-5134
                1531-8249
                18 November 2016
                November 2016
                : 80
                : 5 ( doiID: 10.1002/ana.v80.5 )
                : 674-685
                Affiliations
                [ 1 ]Neurogenomics Lab and Parkinson Personalized Medicine Program, Harvard Medical School and Brigham & Women's Hospital Cambridge MA
                [ 2 ]Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital Boston MA
                [ 3 ]Biomarkers Program, Harvard NeuroDiscovery Center Boston MA
                [ 4 ] Department of NeurologyBrigham and Women's Hospital Boston MA
                [ 5 ] Department of NeurologyMassachusetts General Hospital Boston MA
                [ 6 ] Department of Medical GenomicsVU University Medical Center, Neuroscience Campus Amsterdam Amsterdam HZThe Netherlands
                [ 7 ]German Center for Neurodegenerative diseases (DZNE) TübingenGermany
                [ 8 ] John Van Geest Centre for Brain Repair, Department of Clinical NeurosciencesUniversity of Cambridge CambridgeUnited Kingdom
                [ 9 ] Department of Biostatistics and Computational BiologyUniversity of Rochester Medical Center Rochester NY
                [ 10 ]INSERM, Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of ageing and age related diseases VillejuifFrance
                [ 11 ]University Paris‐Sud, UMRS 1018 VillejuifFrance
                [ 12 ]Sorbonne Université, Université Pierre et Marie Curie Paris 06 UMR S 1127, Institut National de Santé et en Recherche Médicale U 1127 and Centre d'Investigation Clinique 1422, Centre National de Recherche Scientifique U 7225, Institut du Cerveau et de la Moelle Epinière, Assistance Publique Hôpitaux de Paris, Département de Neurologie et de Génétique, Hôpital Pitié‐Salpêtrière ParisFrance
                [ 13 ]Voyager Therapeutics, Clinical Development Cambridge MA
                [ 14 ] Department of NeurologyLeiden University Medical Center LeidenThe Netherlands
                Author notes
                [*] [* ]Address correspondence to Dr Clemens R. Scherzer, Neurogenomics Lab and Parkinson Personalized Medicine Program, Harvard Medical School and Brigham & Women's Hospital, 65 Landsdowne Street, Suite 307A, Cambridge, MA 02139. E‐mail: cscherzer@ 123456rics.bwh.harvard.edu
                Article
                ANA24781
                10.1002/ana.24781
                5244667
                27717005
                5b3f0c72-2272-4453-b83b-9fef9e90c497
                © 2016 The Authors. Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 June 2016
                : 06 September 2016
                : 12 September 2016
                Page count
                Figures: 3, Tables: 2, Pages: 12, Words: 7939
                Funding
                Funded by: Michael J. Fox Foundation
                Funded by: NIH
                Award ID: PDBP U01 NS082157
                Award ID: NS050095
                Award ID: NS24778
                Funded by: Harvard NeuroDiscovery Center
                Funded by: U.S. Department of Defense
                Award ID: C.R.S., B.R
                Funded by: M.E.M.O. Hoffman Foundation
                Funded by: Parkinson's Disease Foundation
                Funded by: Wellcome Trust
                Funded by: MRC
                Funded by: Parkinson's UK
                Funded by: Cure‐PD
                Funded by: Patrick Berthoud Trust
                Funded by: Van Geest Foundation
                Funded by: NIHR
                Funded by: Assistance Publique Hôpitaux de Paris
                Funded by: French clinical research hospital program‐PHRC
                Award ID: AOR08010
                Funded by: 0“Investissements d'Avenir”
                Award ID: ANR‐10‐IAIHU‐06
                Funded by: Prinses Beatrix Fonds
                Award ID: WAR05‐0120
                Funded by: Stichting Alkemade‐Keuls
                Funded by: Stichting ParkinsonFonds
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                ana24781
                November 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.2 mode:remove_FC converted:19.01.2017

                Neurology
                Neurology

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