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Postuma RB, Weintraub D, Simuni T, Rodríguez-Violante M, Leentjens AFG, Hu MT, Espay AJ, Erro R, Dujardin K, Bohnen NI, Berg D, Mestre TA, Marras C. Anticipating Tomorrow: Tailoring Parkinson's Symptomatic Therapy Using Predictors of Outcome. Mov Disord Clin Pract 2024. [PMID: 38817000 DOI: 10.1002/mdc3.14089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 05/01/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Although research into Parkinson's disease (PD) subtypes and outcome predictions has continued to advance, recommendations for using outcome prediction to guide current treatment decisions remain sparse. OBJECTIVES To provide expert opinion-based recommendations for individually tailored PD symptomatic treatment based on knowledge of risk prediction and subtypes. METHODS Using a modified Delphi approach, members of the Movement Disorders Society (MDS) Task Force on PD subtypes generated a series of general recommendations around the question: "Using what you know about genetic/biological/clinical subtypes (or any individual-level predictors of outcome), what advice would you give for selecting symptomatic treatments for an individual patient now, based on what their subtype or individual characteristics predict about their future disease course?" After four iterations and revisions, those recommendations with over 75% endorsement were adopted. RESULTS A total of 19 recommendations were endorsed by a group of 13 panelists. The recommendations primarily centered around two themes: (1) incorporating future risk of cognitive impairment into current treatment plans; and (2) identifying future symptom clusters that might be forestalled with a single medication. CONCLUSIONS These recommendations provide clinicians with a framework for integrating future outcomes into patient-specific treatment choices. They are not prescriptive guidelines, but adaptable suggestions, which should be tailored to each individual. They are to be considered as a first step of a process that will continue to evolve as additional stakeholders provide new insights and as new information becomes available. As individualized risk prediction advances, the path to better tailored treatment regimens will become clearer.
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Affiliation(s)
- Ronald B Postuma
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania; Parkinson's Disease Research, Education and Clinical Center (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Tanya Simuni
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | | | - Albert F G Leentjens
- Department of Psychiatry, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Michele T Hu
- Nuffield Department of Clinical Neurosciences, Neurology Department, Oxford University and John Radcliffe Hospital, Oxford, United Kingdom
| | - Alberto J Espay
- James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, Ohio, USA
| | - Roberto Erro
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Baronissi, Italy
| | - Kathy Dujardin
- Neurology and Movement Disorders Department, University of Lille, Inserm, Lille Neurosciences and Cognition, CHU-Lille, Lille, France
| | - Nicolaas I Bohnen
- Departments of Radiology and Neurology, University of Michigan, University of Michigan Udall Center, Ann Arbor VAMC, Ann Arbor, Michigan, USA
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-University, Kiel, Germany
| | - Tiago A Mestre
- Division of Neurology, Department of Medicine, University of Ottawa, The University of Ottawa Brain and Research Institute, Ottawa, Ontario, Canada
- Parkinson's Disease and Movement Disorders Clinic, The Ottawa Hospital, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
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Contini C, Fadda L, Lai G, Masala C, Olianas A, Castagnola M, Messana I, Iavarone F, Bizzarro A, Masullo C, Solla P, Defazio G, Manconi B, Diaz G, Cabras T. A top-down proteomic approach reveals a salivary protein profile able to classify Parkinson's disease with respect to Alzheimer's disease patients and to healthy controls. Proteomics 2024; 24:e2300202. [PMID: 37541286 DOI: 10.1002/pmic.202300202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/06/2023]
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disease with motor and non-motor symptoms. Diagnosis is complicated by lack of reliable biomarkers. To individuate peptides and/or proteins with diagnostic potential for early diagnosis, severity and discrimination from similar pathologies, the salivary proteome in 36 PD patients was investigated in comparison with 36 healthy controls (HC) and 35 Alzheimer's disease (AD) patients. A top-down platform based on HPLC-ESI-IT-MS allowed characterizing and quantifying intact peptides, small proteins and their PTMs (overall 51). The three groups showed significantly different protein profiles, PD showed the highest levels of cystatin SA and antileukoproteinase and the lowest of cystatin SN and some statherin proteoforms. HC exhibited the lowest abundance of thymosin β4, short S100A9, cystatin A, and dimeric cystatin B. AD patients showed the highest abundance of α-defensins and short oxidized S100A9. Moreover, different proteoforms of the same protein, as S-cysteinylated and S-glutathionylated cystatin B, showed opposite trends in the two pathological groups. Statherin, cystatins SA and SN classified accurately PD from HC and AD subjects. α-defensins, histatin 1, oxidized S100A9, and P-B fragments were the best classifying factors between PD and AD patients. Interestingly statherin and thymosin β4 correlated with defective olfactory functions in PD patients. All these outcomes highlighted implications of specific proteoforms involved in the innate-immune response and inflammation regulation at oral and systemic level, suggesting a possible panel of molecular and clinical markers suitable to recognize subjects affected by PD.
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Affiliation(s)
- Cristina Contini
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria Monserrato, Monserrato, CA, Italy
| | - Laura Fadda
- Department of Medical Sciences and Public Health, Institute of Neurology, Cagliari, Italy
| | - Greca Lai
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria Monserrato, Monserrato, CA, Italy
| | - Carla Masala
- Department of Biomedical Sciences University of Cagliari, Cittadella Univ. Monserrato, Monserrato, Italy
| | - Alessandra Olianas
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria Monserrato, Monserrato, CA, Italy
| | - Massimo Castagnola
- Proteomics Laboratory. European Center for Brain Research, (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Irene Messana
- Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta", Rome, Italy
| | - Federica Iavarone
- Department of Basic Biotechnological Sciences, Intensive and Perioperative Clinics, Rome, Italy
- Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
| | - Alessandra Bizzarro
- Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
- Department of Geriatrics, Orthopaedics and Rheumatology, Rome, Italy
| | - Carlo Masullo
- Department of Neuroscience, Neurology Section, Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Paolo Solla
- Neurological Unit, Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy
| | - Giovanni Defazio
- Department of Medical Sciences and Public Health, Institute of Neurology, Cagliari, Italy
| | - Barbara Manconi
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria Monserrato, Monserrato, CA, Italy
| | - Giacomo Diaz
- Department of Biomedical Sciences University of Cagliari, Cittadella Univ. Monserrato, Monserrato, Italy
| | - Tiziana Cabras
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria Monserrato, Monserrato, CA, Italy
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Feuerstein JS, Amara A. REM Behavior Disorder: Implications for PD Therapeutics. Curr Neurol Neurosci Rep 2023; 23:727-734. [PMID: 37831394 DOI: 10.1007/s11910-023-01310-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia that occurs during REM sleep, characterized by REM sleep without atonia (RSWA) and dream enactment behavior (DEB). RBD is associated with several diseases and medications but most notably is a prodromal feature of synucleinopathies, including Parkinson's disease (PD). This article reviews RBD, its treatments, and implications for PD therapeutics. RECENT FINDINGS Recent research recognizes RBD as a prodromal marker of PD, resulting in expansion of basic science and clinical investigations of RBD. Current basic science research investigates the pathophysiology of RBD and explores animal models to allow therapeutic development. Clinical research has focused on natural history observation, as well as potential RBD treatments and their impact on sleep and phenoconversion to neurodegenerative disease. RBD serves as a fresh access point to develop both neuroprotective and symptomatic therapies in PD. These types of investigations are novel and will benefit from the more established basic science infrastructure to develop new interventions.
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Affiliation(s)
- Jeanne S Feuerstein
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA.
- Department of Neurology, Rocky Mountain Regional VA Medical Center, 12631 E. 17th Ave Room 5508, Mail Stop B185, Aurora, CO, 80045, USA.
| | - Amy Amara
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
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Solla P, Wang Q, Frau C, Floris V, Loy F, Sechi LA, Masala C. Olfactory Impairment Is the Main Predictor of Higher Scores at REM Sleep Behavior Disorder (RBD) Screening Questionnaire in Parkinson’s Disease Patients. Brain Sci 2023; 13:brainsci13040599. [PMID: 37190564 DOI: 10.3390/brainsci13040599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023] Open
Abstract
Introduction: Olfactory impairment and REM sleep behavior disorder (RBD) are common non-motor symptoms in Parkinson’s disease (PD) patients, often preceding the onset of the specific motor symptoms and, thus, crucial for strategies directed to anticipate PD diagnosis. In this context, the specific interaction between olfactory impairment and RBD has not been clearly defined. Objective: The aim of this study was to determine the possible role of olfactory impairment and other clinical characteristics as possible predictors of higher scores at RBD screening questionnaire (RBDSQ) in a large population of PD patients. Methods: In this study, 590 PD patients were included from the Parkinson’s Progression Markers Initiative. Demographic and clinical features were registered. All participants completed motor and non-motor evaluations at the baseline visit. For motor assessments, the disease severity was evaluated by the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) pars III. Regarding non-motor symptoms assessment, Montreal Cognitive Assessments (MoCA), University of Pennsylvania Smell Identification Test (UPSIT) and RBD screening questionnaire (RBDSQ) were registered. Results: Among 590 PD patients included in this study, 111 patients with possible RBD were found (18.8%). RBD was less frequent in female PD patients (p ≤ 0.011). Among patients with or without possible RBD diagnosis, statistically significant differences in MDS-UPDRS III (23.3 ± 11.4 vs. 19.7 ± 9.1, respectively, p ≤ 0.002) and in UPSIT score (19.7 ± 8.3 vs. 22.6 ± 8.0, respectively, p ≤ 0.001) were found. Moreover, significant correlations between RBDSQ versus UPDRS III score and versus UPSIT score were observed. Multivariate linear regression analysis showed that UPSIT was the most significant predictor of higher scores at RBDSQ, while the other significant predictors were UPDRS III and age. Conclusions: The severity of olfactory impairment appears tightly correlated to RBD symptoms, highlighting the role of these biomarkers for PD patients. Additionally, according to this large study, our data confirmed that RBD in PD patients exhibits peculiar gender differences.
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Affiliation(s)
- Paolo Solla
- Neurological Unit, AOU Sassari, University of Sassari, Viale S. Pietro 10, 07100 Sassari, Italy
| | - Qian Wang
- Department of Biomedical Sciences, University of Sassari, Viale S. Pietro 10, 07100 Sassari, Italy
| | - Claudia Frau
- Neurological Unit, AOU Sassari, University of Sassari, Viale S. Pietro 10, 07100 Sassari, Italy
- Department of Biomedical Sciences, University of Sassari, Viale S. Pietro 10, 07100 Sassari, Italy
| | - Valentina Floris
- Neurological Unit, AOU Sassari, University of Sassari, Viale S. Pietro 10, 07100 Sassari, Italy
| | - Francesco Loy
- Department of Biomedical Sciences, University of Cagliari, SP 8 Cittadella Universitaria, 09042 Monserrato, Italy
| | - Leonardo Antonio Sechi
- Department of Biomedical Sciences, University of Sassari, Viale S. Pietro 10, 07100 Sassari, Italy
| | - Carla Masala
- Department of Biomedical Sciences, University of Cagliari, SP 8 Cittadella Universitaria, 09042 Monserrato, Italy
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Olfactory Impairment Correlates with Executive Functions Disorders and Other Specific Cognitive Dysfunctions in Parkinson's Disease. BIOLOGY 2023; 12:biology12010112. [PMID: 36671804 PMCID: PMC9855400 DOI: 10.3390/biology12010112] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/21/2022] [Accepted: 01/09/2023] [Indexed: 01/13/2023]
Abstract
INTRODUCTION Olfactory and cognitive disorders represent important non-motor symptoms in Parkinson's disease (PD). No clear evidence was reported about association of specific cognitive domains and olfactory impairment. OBJECTIVE The aim of this study was to evaluate the association between olfactory dysfunction and specific cognitive domains in PD patients compared to controls. METHODS 178 PD patients and 98 controls were enrolled and evaluated for odor threshold (OT), discrimination (OD), identification (OI), and TDI score using the Sniffin' Sticks test. Cognitive function was evaluated using the Montreal Cognitive Assessment scale with six sub-scores: Orientation (OIS), Attention (AIS), Language (LIS), Visuospatial (VIS), Memory (MIS), and Executive index scores (EIS). RESULTS Statistically significant correlations were observed between OT versus, LIS, and between TDI score versus EIS. Multivariate linear regression analysis, including age and sex which are well-known predictors of olfactory dysfunction, showed that, among specific cognitive domains, only LIS was significant predictor for OT, VIS was a significant predictor for OD, while both EIS and AIS were significant predictors for OI, and finally only EIS was significant predictor for TDI score. CONCLUSIONS Olfactory disorders in PD patients appear commonly related to dysfunction of specific cognitive domains, with strict association between global olfactory impairment and executive function deficits.
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Wang Y, Li D, Chen Y, Zhu S, Jiang X, Jiang Y, Gu R, Shen B, Zhu J, Pan Y, Yan J, Zhang L. Clinical features of minor hallucinations in different phenotypes of Parkinson's disease: A cross-sectional study. Front Neurol 2023; 14:1158188. [PMID: 37034082 PMCID: PMC10079986 DOI: 10.3389/fneur.2023.1158188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/09/2023] [Indexed: 04/11/2023] Open
Abstract
Background Minor hallucinations (MHs) are the most common psychiatric symptom associated with Parkinson's disease (PDPsy), but little is known about their characteristics in different motor phenotypes, especially postural instability gait difficulty (PIGD). The aim of this study was to explore the clinical features of MHs in different subtypes of PD. Methods In this cross-sectional study, 213 patients with Parkinson's disease (PD) were recruited, and the data obtained included comprehensive demographics, motor subtypes, clinical scale scores, and MH contents. Motor subtypes were classified as tremor-dominant (TD), PIGD or indeterminate according to Stebbins' method. Results A total of 213 PD patients were included: 90 (42.3%) TD patients, 98 (46.0%) PIGD patients and 25 (11.7%) indeterminate. In total, 70 (32.9%) patients experienced MHs. Compared to patients with the TD phenotype, we found that patients with the PIGD phenotype had more severe motor and nonmotor symptoms. They also had a higher incidence of visual illusions (VIs) and a shorter MH latency. Conclusion Our study demonstrated that compared to patients with the TD phenotype, patients with the PIGD phenotype had a higher incidence of MHs, especially VIs, which may lead to a higher incidence of visual hallucinations (VHs). They also had a shorter latency of MHs than patients with the TD phenotype, suggesting an earlier onset of MHs and a worse prognosis.
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Kang SH, Kim J, Lee J, Koh SB. Mild cognitive impairment is associated with poor gait performance in patients with Parkinson’s disease. Front Aging Neurosci 2022; 14:1003595. [PMID: 36268193 PMCID: PMC9577227 DOI: 10.3389/fnagi.2022.1003595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/20/2022] [Indexed: 11/18/2022] Open
Abstract
Cognitive impairment may be commonly accompanied by gait disturbance in patients with Parkinson’s disease (PD). However, it is still controversial whether gait disturbance is associated with mild cognitive impairment (MCI) and which cognitive function has a more important effect on specific gait parameter. Our objective was to investigate the association of gait parameters with MCI and the correlation between performance on comprehensive neuropsychological tests and gait parameters in PD patients. We enrolled 257 patients with de novo PD (111 PD-normal cognition and 146 PD-MCI). All patients underwent comprehensive neuropsychological tests and gait evaluation using the GAITRite system. We used logistic regression analysis and partial correlation to identify the association between gait parameters and MCI and correlations between neuropsychological performance and gait parameters. Gait velocity (odds ratio [OR] = 0.98, 95% confidence interval [CI] = 0.97−0.99) and stride length (OR = 0.98; 95% CI = 0.97−0.99) were associated with MCI in patients with PD. Specifically, gait velocity, stride length, and double support ratio were only associated with attention and frontal-executive function performance in patients with PD. Our findings provide insight into the relationship between gait disturbance and MCI in patients with PD. Furthermore, the evaluation of gait disturbance is necessary for PD patients with cognitive impairment.
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Patel ZM, Holbrook EH, Turner JH, Adappa ND, Albers MW, Altundag A, Appenzeller S, Costanzo RM, Croy I, Davis GE, Dehgani-Mobaraki P, Doty RL, Duffy VB, Goldstein BJ, Gudis DA, Haehner A, Higgins TS, Hopkins C, Huart C, Hummel T, Jitaroon K, Kern RC, Khanwalkar AR, Kobayashi M, Kondo K, Lane AP, Lechner M, Leopold DA, Levy JM, Marmura MJ, Mclelland L, Miwa T, Moberg PJ, Mueller CA, Nigwekar SU, O'Brien EK, Paunescu TG, Pellegrino R, Philpott C, Pinto JM, Reiter ER, Roalf DR, Rowan NR, Schlosser RJ, Schwob J, Seiden AM, Smith TL, Soler ZM, Sowerby L, Tan BK, Thamboo A, Wrobel B, Yan CH. International consensus statement on allergy and rhinology: Olfaction. Int Forum Allergy Rhinol 2022; 12:327-680. [PMID: 35373533 DOI: 10.1002/alr.22929] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/01/2021] [Accepted: 11/19/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND The literature regarding clinical olfaction, olfactory loss, and olfactory dysfunction has expanded rapidly over the past two decades, with an exponential rise in the past year. There is substantial variability in the quality of this literature and a need to consolidate and critically review the evidence. It is with that aim that we have gathered experts from around the world to produce this International Consensus on Allergy and Rhinology: Olfaction (ICAR:O). METHODS Using previously described methodology, specific topics were developed relating to olfaction. Each topic was assigned a literature review, evidence-based review, or evidence-based review with recommendations format as dictated by available evidence and scope within the ICAR:O document. Following iterative reviews of each topic, the ICAR:O document was integrated and reviewed by all authors for final consensus. RESULTS The ICAR:O document reviews nearly 100 separate topics within the realm of olfaction, including diagnosis, epidemiology, disease burden, diagnosis, testing, etiology, treatment, and associated pathologies. CONCLUSION This critical review of the existing clinical olfaction literature provides much needed insight and clarity into the evaluation, diagnosis, and treatment of patients with olfactory dysfunction, while also clearly delineating gaps in our knowledge and evidence base that we should investigate further.
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Affiliation(s)
- Zara M Patel
- Otolaryngology, Stanford University School of Medicine, Stanford, California, USA
| | - Eric H Holbrook
- Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Justin H Turner
- Otolaryngology, Vanderbilt School of Medicine, Nashville, Tennessee, USA
| | - Nithin D Adappa
- Otolaryngology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark W Albers
- Neurology, Harvard Medical School, Boston, Massachusetts, USA
| | - Aytug Altundag
- Otolaryngology, Biruni University School of Medicine, İstanbul, Turkey
| | - Simone Appenzeller
- Rheumatology, School of Medical Sciences, University of Campinas, São Paulo, Brazil
| | - Richard M Costanzo
- Physiology and Biophysics and Otolaryngology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | - Ilona Croy
- Psychology and Psychosomatic Medicine, TU Dresden, Dresden, Germany
| | - Greg E Davis
- Otolaryngology, Proliance Surgeons, Seattle and Puyallup, Washington, USA
| | - Puya Dehgani-Mobaraki
- Associazione Naso Sano, Umbria Regional Registry of Volunteer Activities, Corciano, Italy
| | - Richard L Doty
- Smell and Taste Center, Otolaryngology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Valerie B Duffy
- Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA
| | | | - David A Gudis
- Otolaryngology, Columbia University Irving Medical Center, New York, USA
| | - Antje Haehner
- Smell and Taste, Otolaryngology, TU Dresden, Dresden, Germany
| | - Thomas S Higgins
- Otolaryngology, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Claire Hopkins
- Otolaryngology, Guy's and St. Thomas' Hospitals, London Bridge Hospital, London, UK
| | - Caroline Huart
- Otorhinolaryngology, Cliniques universitaires Saint-Luc, Institute of Neuroscience, Université catholgique de Louvain, Brussels, Belgium
| | - Thomas Hummel
- Smell and Taste, Otolaryngology, TU Dresden, Dresden, Germany
| | | | - Robert C Kern
- Otolaryngology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ashoke R Khanwalkar
- Otolaryngology, Stanford University School of Medicine, Stanford, California, USA
| | - Masayoshi Kobayashi
- Otorhinolaryngology-Head and Neck Surgery, Mie University Graduate School of Medicine, Mie, Japan
| | - Kenji Kondo
- Otolaryngology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Andrew P Lane
- Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matt Lechner
- Otolaryngology, Barts Health and University College London, London, UK
| | - Donald A Leopold
- Otolaryngology, University of Vermont Medical Center, Burlington, Vermont, USA
| | - Joshua M Levy
- Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Michael J Marmura
- Neurology Thomas Jefferson University School of Medicine, Philadelphia, Pennsylvania, USA
| | - Lisha Mclelland
- Otolaryngology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Takaki Miwa
- Otolaryngology, Kanazawa Medical University, Ishikawa, Japan
| | - Paul J Moberg
- Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Sagar U Nigwekar
- Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Erin K O'Brien
- Otolaryngology, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Teodor G Paunescu
- Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Carl Philpott
- Otolaryngology, University of East Anglia, Norwich, UK
| | - Jayant M Pinto
- Otolaryngology, University of Chicago, Chicago, Illinois, USA
| | - Evan R Reiter
- Otolaryngology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | - David R Roalf
- Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Nicholas R Rowan
- Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rodney J Schlosser
- Otolaryngology, Medical University of South Carolina, Mt Pleasant, South Carolina, USA
| | - James Schwob
- Biomedical Sciences, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Allen M Seiden
- Otolaryngology, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Timothy L Smith
- Otolaryngology, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Zachary M Soler
- Otolaryngology, Medical University of South Carolina, Mt Pleasant, South Carolina, USA
| | - Leigh Sowerby
- Otolaryngology, University of Western Ontario, London, Ontario, Canada
| | - Bruce K Tan
- Otolaryngology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Andrew Thamboo
- Otolaryngology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Bozena Wrobel
- Otolaryngology, Keck School of Medicine, USC, Los Angeles, California, USA
| | - Carol H Yan
- Otolaryngology, School of Medicine, UCSD, La Jolla, California, USA
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Adverse effects of hypertension, supine hypertension, and perivascular space on cognition and motor function in PD. NPJ PARKINSONS DISEASE 2021; 7:69. [PMID: 34376695 PMCID: PMC8355129 DOI: 10.1038/s41531-021-00214-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 07/23/2021] [Indexed: 01/23/2023]
Abstract
Dilated perivascular space (dPVS) has recently been reported as a biomarker for cognitive impairment in Parkinson’s disease (PD). However, comprehensive interrelationships between various clinical risk factors, dPVS, white-matter hyperintensities (WMH), cognition, and motor function in PD have not been studied yet. The purpose of this study was to test whether dPVS might mediate the effect of clinical risk factors on WMH, cognition, and motor symptoms in PD patients. A total of 154 PD patients were assessed for vascular risk factors (hypertension, diabetes mellitus, and dyslipidemia), autonomic dysfunction (orthostatic hypotension and supine hypertension [SH]), APOE ε4 genotype, rapid eye movement sleep-behavior disorder, motor symptoms, and cognition status. The degree of dPVS was evaluated in the basal ganglia (BG) and white matter using a 5-point visual scale. Periventricular, deep, and total WMH severity was also assessed. Path analysis was performed to evaluate the associations of these clinical factors and imaging markers with cognitive status and motor symptoms. Hypertension and SH were significantly associated with more severe BGdPVS, which was further associated with higher total WMH, consequently leading to lower cognitive status. More severe BGdPVS was also associated with worse motor symptoms, but without mediation of total WMH. Similar associations were seen when using periventricular WMH as a variable, but not when using deep WMH as a variable. In conclusion, BGdPVS mediates the effect of hypertension and SH on cognitive impairment via total and periventricular WMH, while being directly associated with more severe motor symptoms.
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Langley MR, Ghaisas S, Palanisamy BN, Ay M, Jin H, Anantharam V, Kanthasamy A, Kanthasamy AG. Characterization of nonmotor behavioral impairments and their neurochemical mechanisms in the MitoPark mouse model of progressive neurodegeneration in Parkinson's disease. Exp Neurol 2021; 341:113716. [PMID: 33839143 PMCID: PMC9797183 DOI: 10.1016/j.expneurol.2021.113716] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/24/2021] [Accepted: 04/05/2021] [Indexed: 12/30/2022]
Abstract
Mitochondrial dysfunction has been implicated as a key player in the pathogenesis of Parkinson's disease (PD). The MitoPark mouse, a transgenic mitochondrial impairment model developed by specific inactivation of TFAM in dopaminergic neurons, spontaneously exhibits progressive motor deficits and neurodegeneration, recapitulating several features of PD. Since nonmotor symptoms are now recognized as important features of the prodromal stage of PD, we comprehensively assessed the clinically relevant motor and nonmotor deficiencies from ages 8-24 wk in both male and female MitoPark mice and their littermate controls. As expected, motor deficits in MitoPark mice began around 12-14 wk and became severe by 16-24 wk. Interestingly, MitoPark mice exhibited olfactory deficits in the novel and social scent tests as early as 10-12 wk as compared to age-matched littermate controls. Additionally, male MitoPark mice showed spatial memory deficits before female mice, beginning at 8 wk and becoming most severe at 16 wk, as determined by the Morris water maze. MitoPark mice between 16 and 24 wk spent more time immobile in forced swim and tail suspension tests, and made fewer entries into open arms of the elevated plus maze, indicating a depressive and anxiety-like phenotype, respectively. Importantly, depressive behavior as determined by immobility in forced swim test was reversible by antidepressant treatment with desipramine. Neurochemical and mechanistic studies revealed significant changes in CREB phosphorylation, BDNF, and catecholamine levels as well as neurogenesis in key brain regions. Collectively, our results indicate that MitoPark mice progressively exhibit deficits in olfactory discrimination, cognitive learning and memory, and anxiety- and depression-like behaviors as well as key neurochemical signaling associated with nonmotor deficits in PD. Thus, MitoPark mice can serve as an invaluable model for studying nonmotor deficits in addition to studying the motor deficits related to pathology in PD.
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Affiliation(s)
- Monica R Langley
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Shivani Ghaisas
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Bharathi N Palanisamy
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Muhammet Ay
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Huajun Jin
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Vellareddy Anantharam
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Arthi Kanthasamy
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America
| | - Anumantha G Kanthasamy
- Parkinson Disorders Research Program, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA 50011, United States of America.
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Simitsi AM, Koros C, Stamelou M, Papadimitriou D, Leonardos A, Bougea A, Papagiannakis N, Pachi I, Angelopoulou E, Lourentzos K, Bonakis A, Stefanis L. REM sleep behavior disorder and other sleep abnormalities in p. A53T SNCA mutation carriers. Sleep 2021; 44:5999486. [PMID: 33231251 DOI: 10.1093/sleep/zsaa248] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 10/22/2020] [Indexed: 01/12/2023] Open
Abstract
STUDY OBJECTIVES Τo assess whether REM Sleep Behavior Disorder (RBD) and other sleep abnormalities occur in carriers of the p.A53T alpha-synuclein gene (SNCA) mutation, using both subjective and objective measures. METHODS We have assessed 15 p.A53T carriers (10 manifesting Parkinson's Disease [PD-A53T] and 5 asymptomatic carriers) with simultaneous Video-PSG (polysomnography) recording, the Epworth Sleepiness Scale (ESS) for daytime sleepiness, the Athens Insomnia Scale (AIS), the RBD Screening Questionnaire (RBDSQ) for clinical features of RBD, the Montreal Cognitive Assessment (MOCA) for cognition and the University of Pennsylvania Smell Identification Test (UPSIT) for olfaction. RESULTS In our cohort, 90% of PD carriers had at least one sleep disorder and 40% had two: 4 RBD, 1 Periodic Limb Movements (PLM), 1 RBD plus PLM, 2 RBD plus moderate Obstructive Sleep Apnea (OSA), and 1 moderate OSA plus Restless Leg Syndrome. No asymptomatic carrier manifested a confirmed sleep disorder. 6/7 PD carriers with RBD had abnormal olfactory testing and 4/7 MOCA below cut off. There was a correlation of both impaired olfaction and cognition with RBD. CONCLUSIONS RBD occurs in the majority of PD-A53T, in contrast to most other genetic forms of PD, in which RBD is uncommon. The paucity of a sleep disorder in the asymptomatic carriers suggests that such carriers have not yet reached the prodromal phase when such sleep disorders manifest. Hyposmia in almost all subjects with RBD and cognitive decline in most of them are indicative of the general pattern of disease progression, which however is not uniform.
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Affiliation(s)
- Athina Maria Simitsi
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Koros
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Stamelou
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Neurology Clinic, Philipps University, Marburg, Germany.,Parkinson's Disease and Movement Disorders Department, HYGEIA Hospital, Athens, Greece
| | | | - Athanasios Leonardos
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Bougea
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Papagiannakis
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioanna Pachi
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efthalia Angelopoulou
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Lourentzos
- 2nd Department of Neurology, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasios Bonakis
- 2nd Department of Neurology, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
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12
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Sleep Disorders and Cognitive Dysfunctions in Parkinson's Disease: A Meta-Analytic Study. Neuropsychol Rev 2021; 31:643-682. [PMID: 33779875 DOI: 10.1007/s11065-020-09473-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/20/2020] [Indexed: 02/08/2023]
Abstract
A relationship between sleep disorders and cognitive dysfunctions was reported in Parkinson's Disease (PD), however, some studies did not confirm the link. A meta-analytic study was performed to investigate the relationship between sleep disorders and cognitive dysfunctions, and to clarify the evolution of cognitive status in PD patients with sleep disorders.The systematic literature search was performed up to November 2020 using PubMed, Scopus, and PsycINFO databases. We included studies published in peer-reviewed journals in English providing results about neuropsychological comparison between patients with or without sleep disorders. Meta-analysis on cross-sectional data included 54 studies for REM Sleep Behavior Disorder (RBD), 22 for Excessive Daytime Sleepiness (EDS), 7 for Obstructive Sleep Apnea (OSA), 13 for Restless Legs Syndrome (RLS), and 5 for insomnia, the meta-analysis on longitudinal data included 7 studies.RBD was related to deficits of global cognitive functioning, memory, executive functions, attention/working memory, language, and visuospatial abilities. EDS was associated with deficits of global cognitive functioning and attention and working memory abilities, whereas RLS and OSA were related to global cognitive dysfunction. Moreover, we revealed that PD patients with RBD and those with EDS performed worse than PD patients without sleep disorders at follow-up rather than baseline evaluation. Our results suggest that sleep disorders are associated with cognitive deficits supporting indirectly that these, especially the REM Sleep Behavior Disorder, reflect abnormalities of frontal networks and posterior cortical areas. Sleep disorders in patients with PD seem to also increase the risk for long-term cognitive decline.
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13
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Lo C, Arora S, Ben-Shlomo Y, Barber TR, Lawton M, Klein JC, Kanavou S, Janzen A, Sittig E, Oertel WH, Grosset DG, Hu MT. Olfactory Testing in Parkinson Disease and REM Behavior Disorder: A Machine Learning Approach. Neurology 2021; 96:e2016-e2027. [PMID: 33627500 DOI: 10.1212/wnl.0000000000011743] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 01/15/2021] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE We sought to identify an abbreviated test of impaired olfaction amenable for use in busy clinical environments in prodromal (isolated REM sleep behavior disorder [iRBD]) and manifest Parkinson disease (PD). METHODS Eight hundred ninety individuals with PD and 313 controls in the Discovery cohort study underwent Sniffin' Stick odor identification assessment. Random forests were initially trained to distinguish individuals with poor (functional anosmia/hyposmia) and good (normosmia/super-smeller) smell ability using all 16 Sniffin' Sticks. Models were retrained using the top 3 sticks ranked by order of predictor importance. One randomly selected 3-stick model was tested in a second independent PD dataset (n = 452) and in 2 iRBD datasets (Discovery n = 241, Marburg n = 37) before being compared to previously described abbreviated Sniffin' Stick combinations. RESULTS In differentiating poor from good smell ability, the overall area under the curve (AUC) value associated with the top 3 sticks (anise/licorice/banana) was 0.95 in the Development dataset (sensitivity 90%, specificity 92%, positive predictive value 92%, negative predictive value 90%). Internal and external validation confirmed AUCs ≥0.90. The combination of the 3-stick model determined poor smell, and an RBD screening questionnaire score of ≥5 separated those with iRBD from controls with a sensitivity, specificity, positive predictive value, and negative predictive value of 65%, 100%, 100%, and 30%. CONCLUSIONS Our 3-Sniffin'-Stick model holds potential utility as a brief screening test in the stratification of individuals with PD and iRBD according to olfactory dysfunction. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that a 3-Sniffin'-Stick model distinguishes individuals with poor and good smell ability and can be used to screen for individuals with iRBD.
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Affiliation(s)
- Christine Lo
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK.
| | - Siddharth Arora
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Yoav Ben-Shlomo
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Thomas R Barber
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Michael Lawton
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Johannes C Klein
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Sofia Kanavou
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Annette Janzen
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Elisabeth Sittig
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Wolfgang H Oertel
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Donald G Grosset
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
| | - Michele T Hu
- From the Oxford Parkinson's Disease Centre (C.L., S.A., T.R.B., J.C.K., M.T.H.), Nuffield Department of Clinical Neurosciences (C.L., T.R.B., J.C.K., M.T.H.), and Saïd Business School (S.A.), University of Oxford; Population Health Sciences (Y.B.-S., M.L., S.K.), University of Bristol, UK; Department of Neurology (A.J., E.S., W.H.O.), Philipps University Marburg; Institute for Neurogenomics (W.H.O.), München Helmholtz Center for Health and Environment, Neuherberg München, Germany; and Institute of Neurological Sciences (D.G.G.), Queen Elizabeth University Hospital, Glasgow, UK
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Nomura T, Nomura Y, Oguri M, Hirooka Y, Hanajima R. Olfactory function deteriorates in patients with Parkinson's disease complicated with REM sleep behavior disorder. eNeurologicalSci 2020; 20:100261. [PMID: 32802972 PMCID: PMC7417891 DOI: 10.1016/j.ensci.2020.100261] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 07/20/2020] [Accepted: 07/30/2020] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION It is not concluded whether the association between olfactory dysfunction and REM sleep behavior disorder (RBD) were worsen cognitive function in patients with Parkinson's disease (PD). We sought to evaluate the impact of these symptoms in PD. METHODS We examined 62 patients with PD using an olfactory test (Odor Stick Identification Test for Japanese: OSIT-J) and polysomnography (PSG). We divided the patients into 3 groups: PD with clinical RBD (n = 32), PD with subclinical RBD (n = 11), and PD with normal REM sleep (n = 19). We compared their clinical backgrounds, results of OSIT-J, autonomic functions, and cognitive functions such as Montreal cognitive assessment Japanese version (MoCA-J). Some factors associated with RBD were analyzed by multiple regression. RESULTS There were significant differences in the results of OSIT-J, and autonomic and cognitive functions between the 3 groups. There were significant differences in the total OSIT-J score between the 3 groups (PD with clinical RBD: 3.3 ± 2.2, PD with subclinical RBD: 4.0 ± 2.6, PD with normal REM sleep: 6.7 ± 3.0, p < 0.001). Patients in the group with PD with clinical RBD had a significantly lower score than those with normal REM sleep (p < 0.001). Logistic regression analysis showed that OSIT-J score was significantly associated with RBD. The PD group with clinical RBD had more patients with mild cognitive impairment than the group with normal REM sleep. Multiple regression analysis revealed that olfactory dysfunction was correlated with MoCA-J. CONCLUSIONS Olfactory dysfunction is associated with RBD. Especially, it is important to screen olfactory function in RBD complicated patients with PD in view of cognitive impairment.
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Affiliation(s)
| | | | - Masayoshi Oguri
- Department of Pathobiological Science and Technology, School of Health Science, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Yasuaki Hirooka
- Department of Pathobiological Science and Technology, School of Health Science, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Ritsuko Hanajima
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
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15
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Sasaki S, Horie Y. Association Between Olfactory Impairment and Disease Severity and Duration in Parkinson's Disease. Mov Disord Clin Pract 2020; 7:820-826. [PMID: 33043078 DOI: 10.1002/mdc3.13028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 06/17/2020] [Accepted: 07/13/2020] [Indexed: 01/05/2023] Open
Abstract
Background The association between olfactory dysfunction and disease duration and severity in Parkinson's disease (PD) remains controversial. Objective The objective of this study was to examine the relationship between olfactory dysfunction and disease severity and duration in patients with recently diagnosed parkinsonism and patients with PD with a previous diagnosis. Methods Olfactory function was evaluated in 79 patients with recently diagnosed parkinsonism, 71 patients with PD with a previous diagnosis-with patients in both groups free of cognitive impairment-and 128 age-matched controls. The Odor-Stick Identification Test for Japanese score was counted as the numbers of correct answers, responses of indistinguishable, and responses of odorless. Parkinsonism was evaluated using the Movement Disorder Society Criteria, the Unified Parkinson Disease Rating Scale (UPDRS) Part III, and 123iodine-labeled N-(3-fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl) nortropane single photon emission computed tomography (DaTscan). Results In the patients with recently diagnosed parkinsonism having the UPDRS Part III score ≥5 (mean [standard deviation: SD] score: 6.3 [1.9]) and with a positive DaTscan, the mean (SD) numbers of correct answers, responses of indistinguishable and responses of odorless were 4.3 (2.2), 1.6 (2.0), and 1.2 (2.2), respectively. In patients with PD with a previous diagnosis (mean [SD] UPDRS Part III score: 10.9 [3.2]), these numbers were 2.5 (2.2), 2.2 (2.5), and 3.8 (4.6), respectively. The patients with PD with a previous diagnosis showed more significant deterioration than the patients with recently diagnosed parkinsonism in the numbers of correct answers and responses of odorless (P < 0.0001). Olfaction in the combined patient group was significantly impaired compared with age-matched controls in each category (P < 0.0001). Conclusions These findings imply a close association between olfactory dysfunction and disease severity and duration in PD.
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Affiliation(s)
- Shoichi Sasaki
- Department of Neurology Agano City Hospital Agano-shi Japan.,Department of Neurology Toyosaka Hospital Niigata Japan
| | - Yoshiharu Horie
- Data Science, Medical Division AstraZeneca Osaka Japan.,Department of Social and Environmental Medicine, Graduate School of Medicine Osaka University Suita Japan
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16
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Pekel NB, Yildiz D, Taymur İ, Budak E, Özmen S, Çapkur Ç, Seferoğlu M, Güneş A, Siğirli D. Associations Between Olfactory Impairment and Cognitive Functions in Patients with Parkinson Disease. ACTA ACUST UNITED AC 2019; 57:216-221. [PMID: 32952424 DOI: 10.29399/npa.23070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 07/14/2018] [Indexed: 12/30/2022]
Abstract
Introduction Olfactory impairment and cognitive impairment are common non-motor symptoms in Parkinson's disease (PD). Olfactory impairment may be present even many years before the main symptoms of the disease develop. The associations between olfactory loss and cognition in PD are evaluated in this study. Methods 31 patients with PD and 31 healthy subjects were included in this study. The Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn and Yahr Scale (H&Y Scale) were administered to all subjects. Butanol threshold test and Sniffin'Sticks test were used to assess olfaction. The Mini Mental State Examination (MMSE) and Clock Drawing Test (CDT) and Stroop Color Word Test (SCWT) were used to assess cognition. Results The Sniffin'Sticks test scores were significantly lower in the Parkinson group in comparison to the control group (p<0.001). The rate of anosmia was 90% in the PD group while this rate was found to be 54.8% in control group (p=0.005). A significant correlation was found between butanol test scores and stoop 5 and 5 errors. Significant correlations were found between the Sniffin'Sticks scores and MMSE scores (p=0.047) and orientation (p=0.041) and language (p=0.003) functions of the MMSE test. Worse olfaction was associated with worse memory. Conclusions In PD, olfactory impairment correlates with cognitive impairment and olfactory tests may be used to predict the likelihood of developing dementia in this patient population.
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Affiliation(s)
- Nilüfer Büyükkoyuncu Pekel
- Department of Neurology, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Demet Yildiz
- Department of Neurology, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - İbrahim Taymur
- Department of Psychiatry, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Ersin Budak
- Department of Psychiatry, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Suay Özmen
- Department of Otorhinolaryngology, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Çağla Çapkur
- Department of Otorhinolaryngology, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Meral Seferoğlu
- Department of Neurology, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Aygül Güneş
- Department of Neurology, University of Health Science, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Deniz Siğirli
- Department of Biostatistics, University of Uludağ, School of Medicine, Bursa, Turkey
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Abstract
Efforts to develop neuroprotective therapy for Parkinson disease (PD) are focusing on the early stages of disease, which offer the best opportunity to intervene. Early PD can be divided into preclinical, prodromal and clinical stages; in this Review, we focus on the prodromal stage and markers that can be used to identify prodromal PD. We consider the necessary properties of a marker, before providing an overview of the proven and potential markers of prodromal PD, including clinical nonmotor markers, clinical motor markers, neuroimaging markers and tissue biomarkers. Markers for which the ability to predict conversion to PD is supported by the strongest evidence include olfactory loss, REM sleep behaviour disorder and constipation. Markers with the highest diagnostic strength include REM sleep behaviour disorder, dopaminergic imaging and subtle motor parkinsonism. The lead time - the period between the appearance of a marker and conversion to PD - is highly variable between markers, ranging from 5 years for impaired motor performance to >20 years for autonomic symptoms. The cost of screening for these markers also varies dramatically: some require just questionnaires, whereas others require sophisticated scanning techniques. Finally, we summarize how prodromal and risk markers can be combined to estimate the probability that an individual has prodromal PD, with a focus on the International Parkinson Disease and Movement Disorders Society (MDS) Prodromal Parkinson Criteria.
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Affiliation(s)
- Ronald B Postuma
- Department of Neurology, L7-305 Montreal General Hospital, 1650 Cedar Avenue, Montreal H3G1A4, Canada
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-University of Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany.,Department of neurodegeneration, Hertie Institute of Clinical Brain Research, Hoppe, Seyler-Straße 3, 72076 Tübingen, Germany
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18
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Abstract
PURPOSE OF REVIEW The sense of smell is today one of the focuses of interest in aging and neurodegenerative disease research. In several neurodegenerative diseases, such as Parkinson's disease and Alzheimer's disease, the olfactory dysfunction is one of the initial symptoms appearing years before motor symptoms and cognitive decline, being considered a clinical marker of these diseases' early stages and a marker of disease progression and cognitive decline. Overall and under the umbrella of precision medicine, attention to olfactory function may help to improve chances of success for neuroprotective and disease-modifying therapeutic strategies. RECENT FINDINGS The use of olfaction, as clinical marker for neurodegenerative diseases is helpful in the characterization of prodromal stages of these diseases, early diagnostic strategies, differential diagnosis, and potentially prediction of treatment success. Understanding the mechanisms underlying olfactory dysfunction is central to determine its association with neurodegenerative disorders. Several anatomical systems and environmental factors may underlie or contribute to olfactory loss associated with neurological diseases, although the direct biological link to each disorder remains unclear and, thus, requires further investigation. In this review, we describe the neurobiology of olfaction, and the most common olfactory function measurements in neurodegenerative diseases. We also highlight the evidence for the presence of olfactory dysfunction in several neurodegenerative diseases, its value as a clinical marker for early stages of the diseases when combined with other clinical, biological, and neuroimage markers, and its role as a useful symptom for the differential diagnosis and follow-up of disease. The neuropathological correlations and the changes in neurotransmitter systems related with olfactory dysfunction in the neurodegenerative diseases are also described.
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19
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Heldmann M, Heeren J, Klein C, Rauch L, Hagenah J, Münte TF, Kasten M, Brüggemann N. Neuroimaging abnormalities in individuals exhibiting Parkinson's disease risk markers. Mov Disord 2018; 33:1412-1422. [PMID: 29756356 DOI: 10.1002/mds.27313] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 12/23/2017] [Accepted: 12/31/2017] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The concept of prodromal Parkinson's disease (PD) involves variable combinations of nonmotor features and subtle motor abnormalities as a result of ongoing neurodegeneration in the brain stem including substantia nigra (SN) and abnormal findings upon transcranial sonography and nuclear imaging. Except for nuclear imaging, the predictive value of risk markers for the conversion to overt PD is low. OBJECTIVE The objective of this study was to determine whether PD risk markers are associated with changes in brain structure and to what extent cognitive changes are risk markers for PD. METHODS Diffusion-weighted imaging, voxel-based morphometry, and cortical thickness analysis was performed in 29 individuals with hyposmia and/or an increased SN hyperechogenicity (SN+) upon transcranial sonography and 28 controls without these 2 risk markers. Classical parkinsonian signs were an exclusion criterion. All of the participants underwent a neuropsychological test battery addressing executive functions, learning ability, and verbal fluency. RESULTS In the PD risk group, diffusion-weighted imaging mean diffusivity was increased in 4 left hemisphere clusters (posterior thalamus, inferior longitudinal fasciculus, fornix, corticospinal tract). A negative relationship of mean diffusivity and smell function was present for the posterior thalamus and the corticospinal tract. There was a significant correlation of mean diffusivity values and SN+ in all clusters. Neither voxel-based morphometry nor cortical thickness analysis revealed any group differences. No relevant group differences were observed for cognitive tests included. CONCLUSION PD-free individuals with PD risk markers show microstructural changes of the white matter, including areas relevant for motor and limbic processes. In addition, our study provides for the first time a neuroanatomical correlate for SN hyperechogenicity. © 2018 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Marcus Heldmann
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Janna Heeren
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Linus Rauch
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Johann Hagenah
- Department of Neurology, Westküstenklinikum Heide, Heide, Germany
| | - Thomas F Münte
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Meike Kasten
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.,Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Norbert Brüggemann
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
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20
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Sung YH, Kim HJ, Koh SB, Kim JS, Kim SJ, Cheon SM, Cho JW, Kim YJ, Ma HI, Park MY, Baik JS, Lee PH, Chung SJ, Kim JM, Song IU, Kim HJ, Kim JY, Kwon DY, Lee JH, Lee JY, Kim JS, Yun JY, Hong JY, Kim MJ, Youn J, Kim JS, Oh ES, Yang HJ, Yoon WT, You S, Kwon KY, Park HE, Lee SY, Kim Y, Kim HT, Ahn TB. Validation of the Korean Version of the Scales for Outcomes in Parkinson's Disease-Sleep. J Korean Med Sci 2018; 33:e14. [PMID: 29215823 PMCID: PMC5729655 DOI: 10.3346/jkms.2018.33.e14] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 09/24/2017] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Sleep problems commonly occur in patients with Parkinson's disease (PD), and are associated with a lower quality of life. The aim of the current study was to translate the English version of the Scales for Outcomes in Parkinson's Disease-Sleep (SCOPA-S) into the Korean version of SCOPA-S (K-SCOPA-S), and to evaluate its reliability and validity for use by Korean-speaking patients with PD. METHODS In total, 136 patients with PD from 27 movement disorder centres of university-affiliated hospitals in Korea were enrolled in this study. They were assessed using SCOPA, Hoehn and Yahr Scale (HYS), Unified Parkinson's Disease Rating Scale (UPDRS), Parkinson's Disease Sleep Scale 2nd version (PDSS-2), Non-motor Symptoms Scale (NMSS), Montgomery Asberg Depression Scale (MADS), 39-item Parkinson's Disease Questionnaire (PDQ39), Neurogenic Orthostatic Hypotension Questionnaire (NOHQ), and Rapid Eye Movement Sleep Behaviour Disorder Questionnaire (RBDQ). The test-retest reliability was assessed over a time interval of 10-14 days. RESULTS The internal consistency (Cronbach's α-coefficients) of K-SCOPA-S was 0.88 for nighttime sleep (NS) and 0.75 for daytime sleepiness (DS). Test-retest reliability was 0.88 and 0.85 for the NS and DS, respectively. There was a moderate correlation between the NS sub-score and PDSS-2 total score. The NS and DS sub-scores of K-SCOPA-S were correlated with motor scale such as HYS, and non-motor scales such as UPDRS I, UPDRS II, MADS, NMSS, PDQ39, and NOHQ while the DS sub-score was with RBDQ. CONCLUSION The K-SCOPA-S exhibited good reliability and validity for the assessment of sleep problems in the Korean patients with PD.
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Affiliation(s)
- Young Hee Sung
- Department of Neurology, Gachon University Gil Hospital, Incheon, Korea
| | - Hee Jin Kim
- Department of Neurology, Konkuk University School of Medicine, Seoul, Korea
| | - Seong Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Joong Seok Kim
- Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Sang Jin Kim
- Department of Neurology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Sang Myung Cheon
- Department of Neurology, Dong-A University College of Medicine, Busan, Korea
| | - Jin Whan Cho
- Department of Neurology and Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yoon Joong Kim
- Department of Neurology, Hallym University College of Medicine, Anyang, Korea
| | - Hyeo Il Ma
- Department of Neurology, Hallym University College of Medicine, Anyang, Korea
| | - Mee Young Park
- Department of Neurology, Yeungnam University College of Medicine, Daegu, Korea
| | - Jong Sam Baik
- Department of Neurology, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea
| | - Phil Hyu Lee
- Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sun Ju Chung
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jong Min Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - In Uk Song
- Department of Neurology, Incheon St. Mary's Hospital, The Catholic University of Korea, Incheon, Korea
| | - Han Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Ji Young Kim
- Department of Neurology, Inje University Seoul Paik Hospital, Seoul, Korea
| | - Do Young Kwon
- Department of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Jae Hyeok Lee
- Department of Neurology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Jee Young Lee
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Ji Seon Kim
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University School of Medicine, Cheongju, Korea
| | - Ji Young Yun
- Department of Neurology, Ewha Womans University School of Medicine and Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Jin Yong Hong
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Mi Jung Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Jinyoung Youn
- Department of Neurology and Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji Sun Kim
- Department of Neurology and Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eung Seok Oh
- Department of Neurology, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Korea
| | - Hui Jun Yang
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Won Tae Yoon
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sooyeoun You
- Department of Neurology, Keimyung University School of Medicine, Daegu, Korea
| | - Kyum Yil Kwon
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, Korea
| | - Hyung Eun Park
- Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Su Yun Lee
- Department of Neurology, Dong-A University College of Medicine, Busan, Korea
| | - Younsoo Kim
- Department of Neurology, Changwon Samsung Hospital, Changwon, Korea
| | - Hee Tae Kim
- Department of Neurology, Hanyang University College of Medicine, Seoul, Korea
| | - Tae Beom Ahn
- Department of Neurology, Kyung Hee University College of Medicine, Seoul, Korea.
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21
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Li Y, Kang W, Zhang L, Zhou L, Niu M, Liu J. Hyposmia Is Associated with RBD for PD Patients with Variants of SNCA. Front Aging Neurosci 2017; 9:303. [PMID: 28979204 PMCID: PMC5611699 DOI: 10.3389/fnagi.2017.00303] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 09/04/2017] [Indexed: 01/14/2023] Open
Abstract
Objective: Hyposmia may occur simultaneously with REM sleep behavior disorder (RBD) as a specific phenotype in Parkinson's Diseases (PD), of which the disease progression is fast. In the study, we tried to identify whether the genotypic characteristics could participate in the co-occurrence of hyposmia and RBD in PD patients. Methods: 152 PD patients were recruited from the Department of Neurology, Ruijin Hospital affiliated to Shanghai JiaoTong University School of Medicine from 2011 to 2016, with comprehensive clinical assessment performing. Two SNPs of SNCA (rs11931074 and rs894278) in 105 patients were also analyzed. Results: Overall, 84 of 152 PD patients (55.3%) were diagnosed with RBD after PSG evaluation. After regression analysis, higher levels of three parts of UPDRS and SCOPA-AUT scores were all associated with increased risk of RBD in PD patients, respectively. While for olfactory function, we didn't find significant correlation between hyposmia and RBD in PD patients. However, we found that in the group of minor G allele of rs894278, patients with lower score of SS-16 had a 4.76-fold risk of suffering from RBD in patients (95% CI: 1.39–16.67; p = 0.013). Furthermore, we analyzed SNP associated gene expression by eQTL analysis in Genevar database and found that GG genotype of rs894278 was associated with higher levels of α-synuclein in Nerve tissue (p = 1.5E-8) while TT genotype of rs11931074 was associated with higher levels of α-synuclein in Brain (p = 0.0082), which suggesting a potential functional relevance with different symptoms of PD. Conclusions: Hyposmia was associated with RBD in PD patients with the minor G allele of rs894278, which represent one specific subtype of PD. This study could provide more detail information about PD subtype of RBD with hyposmia in the future.
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Affiliation(s)
- Yuanyuan Li
- Department of Neurology, Institute of Neurology, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong UniversityShanghai, China
| | - Wenyan Kang
- Department of Neurology, Institute of Neurology, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong UniversityShanghai, China
| | - Linyuan Zhang
- Department of Neurology, Institute of Neurology, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong UniversityShanghai, China
| | - Liche Zhou
- Department of Neurology, Institute of Neurology, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong UniversityShanghai, China
| | - Mengyue Niu
- Department of Neurology, Institute of Neurology, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong UniversityShanghai, China
| | - Jun Liu
- Department of Neurology, Institute of Neurology, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong UniversityShanghai, China
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22
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Predictors of onset of psychosis in patients with Parkinson's disease: Who gets it early? Parkinsonism Relat Disord 2017; 44:91-94. [PMID: 28928050 DOI: 10.1016/j.parkreldis.2017.09.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 08/20/2017] [Accepted: 09/13/2017] [Indexed: 01/24/2023]
Abstract
INTRODUCTION Psychosis is one of the common non-motor symptoms of PD, which substantially worsens the quality of life. Hence, it is important to identify factors that are associated with early onset of psychosis in PD. In order to identify those factors, the current study aims to compare various demographic and clinical features of PD patients with early and late onset psychosis. METHODOLOGY In this prospective case-control study, 51 consecutive patients with PD having psychosis (PDP) were recruited. Median of the latency of onset of psychotic symptoms from the onset of motor symptoms was calculated (5.5 years) and after doing a median split, the cohort of PDP was divided into early onset PDP (EOP, n = 25) and late onset PDP (LOP, n = 26). Both the groups were compared for several demographic and clinical characteristics. RESULTS Compared to those with LOP, patients with EOP had poor scores on frontal assessment battery (13.8 ± 2.0 vs 15.3 ± 1.8, p = 0.007), more frequently had Rapid Eye movement sleep Behavior Disorder (RBD) (80% vs 46.2%, p = 0.02), Postural Instability with Gait Difficulty (PIGD) phenotype (72% vs 26.9%, p = 0.002), and excessive daytime sleepiness (Epworth Sleepiness Scale: 8.04 ± 3.7 vs 3.9 ± 3.1). Patients with LOP were older (63.4 ± 7.0 years vs 56.5 ± 8.1 years, p = 0.002) and had higher Levodopa equivalent dose/day (LEDD: 819.1 ± 365.8 vs 608.5 ± 356.3, p = 0.04) compared to those with EOP. CONCLUSION Presence of RBD, excessive daytime sleepiness, frontal lobe dysfunction, and PIGD phenotype of PD may be associated with early onset of psychosis in PD. Higher LEDD may not trigger early occurrence of psychosis in PD.
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23
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Olfactory Dysfunction as an Early Biomarker in Parkinson's Disease. Neurosci Bull 2017; 33:515-525. [PMID: 28831680 DOI: 10.1007/s12264-017-0170-x] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 06/01/2017] [Indexed: 12/31/2022] Open
Abstract
Olfactory dysfunction is common in Parkinson's disease (PD) and often predates the diagnosis by years, reflecting early deposition of Lewy pathology, the histologic hallmark of PD, in the olfactory bulb. Clinical tests are available that allow for the rapid characterization of olfactory dysfunction, including tests of odor identification, discrimination, detection, and recognition thresholds, memory, and tests assessing the build-up of odor intensity across increasing suprathreshold stimulus concentrations. The high prevalence of olfactory impairment, along with the ease and low cost of assessment, has fostered great interest in olfaction as a potential biomarker for PD. Hyposmia may help differentiate PD from other causes of parkinsonism, and may also aid in the identification of "pre-motor" PD due to the early pathologic involvement of olfactory pathways. Olfactory function is also correlated with other non-motor features of PD and may serve as a predictor of cognitive decline. In this article, we summarize the existing literature on olfaction in PD, focusing on the potential for olfaction as a biomarker for early or differential diagnosis and prognosis.
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24
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Reichmann H. Premotor Diagnosis of Parkinson's Disease. Neurosci Bull 2017; 33:526-534. [PMID: 28776303 DOI: 10.1007/s12264-017-0159-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 04/26/2017] [Indexed: 12/31/2022] Open
Abstract
Typical Parkinsonian symptoms consist of bradykinesia plus rigidity and/or resting tremor. Some time later postural instability occurs. Pre-motor symptoms such as hyposmia, constipation, REM sleep behavior disorder and depression may antecede these motor symptoms for years. It would be ideal, if we had a biomarker which would allow to predict who with one or two of these pre-motor symptoms will develop the movement disorder Parkinson's disease (PD). Thus, it is interesting to learn that biopsies of the submandibular gland or colon biopsies may be a means to predict PD, if there is a high amout of abnormally folded alpha-synuclein and phosphorylated alpha-synuclein. This would be of relevance if we would have available means to stop the propagation of abnormal alpha-synuclein which is otherwise one of the reasons of this spreading disease PD.
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Affiliation(s)
- Heinz Reichmann
- Department of Neurology, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany.
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25
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Abstract
The spectrum of sleep problems in Parkinson's disease (PD) is broad. These symptoms are recognized as being clinically relevant by the PD patients and may seriously affect their quality of life. Some studies reveal the occurrence of sleep disorders in more than half of the PD patients. The etiology is multifactorial and it mainly involves the degeneration of the sleep-regulating structures. Sleep disorders in PD can be classified into: disturbances of sleep and disturbances of wakefulness. Generic and specific scales were designed to help the screening and evaluation of sleep dysfunction. Further assessment can be done using sleep recording techniques, like actigraphy or polysomnography. All types of sleep disturbances may be encountered in PD: insomnia, excessive daytime sleepiness, rapid eye movement sleep behavior disorders, and restless legs syndrome. This chapter will focus on reviewing the main characteristics, pathophysiology, assessment, and management of the most frequent sleep disturbances encountered in PD.
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Tarakad A, Jankovic J. Anosmia and Ageusia in Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 133:541-556. [PMID: 28802932 DOI: 10.1016/bs.irn.2017.05.028] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Anosmia, the loss of sense of smell, is a common nonmotor feature of Parkinson's disease (PD). Ageusia, the loss of sense of taste, is additionally an underappreciated nonmotor feature of PD. The olfactory tract is involved early in PD as indicated by frequent occurrence of hyposmia or anosmia years or decades before motor symptoms and by autopsy studies showing early synuclein pathology in the olfactory tract and anterior olfactory nucleus even in the early stages of PD. Testing for olfaction consists of evaluation of olfactory thresholds, smell identification and discrimination, and olfactory memory. Testing for gustation involves evaluating thresholds and discrimination of five basic tastes (salty, sweet, bitter, sour, and umami). The presence of a specific pattern of loss in both olfaction and gustation in PD has been proposed, but this has not yet been confirmed. Within PD, olfactory loss is strongly tied with cognitive status though links to other features of PD or a particular PD phenotype is debated. Hyposmia is more often present and typically more severe in PD patients than other parkinsonian syndromes, making it a potentially useful biomarker for the disease.
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Affiliation(s)
- Arjun Tarakad
- Parkinson's Disease Center and Movement Disorder Clinic, Baylor College of Medicine, Houston, TX, United States
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorder Clinic, Baylor College of Medicine, Houston, TX, United States.
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