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Bazo-Alvarez JC, Nimmons D, Walters K, Petersen I, Schrag A. Risk of Parkinson's disease in people aged ≥50 years with new-onset anxiety: a retrospective cohort study in UK primary care. Br J Gen Pract 2024; 74:e482-e488. [PMID: 38514045 PMCID: PMC11221485 DOI: 10.3399/bjgp.2023.0423] [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] [Received: 08/19/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND A history of anxiety is more common in people with Parkinson's disease (PD). The prospective risk of PD in those newly presenting with anxiety and factors that increase the risk of PD in patients with anxiety have not been investigated. AIM To investigate the incidence of PD in people with anxiety aged ≥50 years and clinical features associated with later diagnosis of PD in people with anxiety. DESIGN AND SETTING A retrospective cohort study using UK primary care data between 2008 and 2018, assessing patients with new-onset anxiety aged ≥50 years. METHOD Weibull survival regression models were fitted and hazard ratios (HRs) for modelling time-to-PD was estimated in those with and without anxiety, and when determining the risk of developing PD in those with anxiety. Results were adjusted for sociodemographic and lifestyle factors, and relevant physical and mental health conditions. RESULTS The risk of PD increased two-fold compared with the non-anxiety group after adjustment for age, sex, social deprivation, lifestyle factors, severe mental illness, head trauma, and dementia (HR 2.1, 95% confidence interval = 1.9 to 2.4). In those with anxiety, the presence of depression, hypotension, tremor, rigidity, balance impairment, constipation, sleep disturbance, fatigue, and cognitive impairment were associated with an increased risk of developing PD. CONCLUSION The risk of developing PD was at least doubled in people with anxiety compared with those without. The clinical features of those who developed PD can help identify patients presenting with anxiety who are in the prodromal phase of PD.
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Affiliation(s)
- Juan Carlos Bazo-Alvarez
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Danielle Nimmons
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Kate Walters
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Irene Petersen
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Anette Schrag
- Department of Neurology, Institute of Neurology, UCL, London
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2
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Zhou X, He R, Zeng S, Li M, Pan H, Zhao Y, Liu Z, Xu Q, Guo J, Yan X, Li J, Tang B, Sun Q. Tremor-associated short tandem repeat intermediate and pathogenic expansions in familial essential tremor. Brain Commun 2024; 6:fcae217. [PMID: 38961870 PMCID: PMC11220504 DOI: 10.1093/braincomms/fcae217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 05/07/2024] [Accepted: 06/28/2024] [Indexed: 07/05/2024] Open
Abstract
There is an obvious clinical-pathological overlap between essential tremor and some known tremor-associated short tandem repeat expansion disorders. The aim is to analyse whether these short tandem repeat genes, including ATXN1, ATXN2, ATXN3, CACNA1A, ATXN7, ATXN8OS, ATXN10, PPP2R2B, TBP, BEAN1, NOP56, DAB1, ATN1, SADM12 and FMR1, are associated with familial essential tremor patients. Genetic analysis of repeat sizes in tremor-associated short tandem repeat expansions was performed in a large cohort of 515 familial essential tremor probands and 300 controls. The demographic and clinical features among carriers of pathogenic expansions, intermediate repeats and non-carriers were compared. A total of 18 out of 515 (18/515, 3.7%) patients were found to have repeats expansions, including 12 cases (12/515, 2.5%) with intermediate repeat expansions (one ATXN1, eight TBP, two FMR1, one ATN1), and six cases (6/515, 1.2%) with pathogenic expansions (one ATXN1, one ATXN2, one ATXN8OS, one PPP2R2B, one FMR1, one SAMD12). There were no statistically significant differences in intermediate repeats compared to healthy controls. Furthermore, there were no significant differences in demographics and clinical features among individuals with pathogenic expansions, intermediate repeat expansions carriers and non-carriers. Our study indicates that the intermediate repeat expansion in tremor-associated short tandem repeat expansions does not pose an increased risk for essential tremor, and rare pathogenic expansion carriers have been found in the familial essential tremor cohort. The diagnosis of essential tremor based solely on clinical symptoms remains a challenge in distinguishing it from known short tandem repeat expansions diseases with overlapping clinical-pathological features.
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Affiliation(s)
- Xun Zhou
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Runcheng He
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Sheng Zeng
- Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Mingqiang Li
- Department of Neurology, Multi-Omics Research Center for Brain Disorders, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421000, China
| | - Hongxu Pan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yuwen Zhao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Zhenhua Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan 410008, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan 410008, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan 410008, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Jinchen Li
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Department of Neurology, Multi-Omics Research Center for Brain Disorders, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421000, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Qiying Sun
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan 410008, China
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Aslam S, Manfredsson F, Stokes A, Shill H. "Advanced" Parkinson's disease: A review. Parkinsonism Relat Disord 2024; 123:106065. [PMID: 38418318 DOI: 10.1016/j.parkreldis.2024.106065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/05/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024]
Abstract
There is no consensus driven definition of "advanced" Parkinson's disease (APD) currently. APD has been described in terms of emergence of specific clinical features and clinical milestones of the disease e.g., motor fluctuations, time to increasing falls, emergence of cognitive decline, etc. The pathological burden of disease has been used to characterize various stages of the disease. Imaging markers have been associated with various motor and nonmotor symptoms of advancing disease. In this review, we present an overview of clinical, pathologic, and imaging markers of APD. We also propose a model of disease definition involving longitudinal assessments of these markers as well as quality of life metrics to better understand and predict disease progression in those with Parkinson's disease.
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Affiliation(s)
- Sana Aslam
- Barrow Neurological Institute, Phoenix, AZ, United States.
| | | | - Ashley Stokes
- Barrow Neurological Institute, Phoenix, AZ, United States
| | - Holly Shill
- Barrow Neurological Institute, Phoenix, AZ, United States
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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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Brague JC, Sinha GP, Henry DA, Headrick DJ, Hamdan Z, Hooks BM, Seal RP. Dopamine-mediated plasticity preserves excitatory connections to direct pathway striatal projection neurons and motor function in a mouse model of Parkinson's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.28.596192. [PMID: 38854096 PMCID: PMC11160626 DOI: 10.1101/2024.05.28.596192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
The cardinal symptoms of Parkinson's disease (PD) such as bradykinesia and akinesia are debilitating, and treatment options remain inadequate. The loss of nigrostriatal dopamine neurons in PD produces motor symptoms by shifting the balance of striatal output from the direct (go) to indirect (no-go) pathway in large part through changes in the excitatory connections and intrinsic excitabilities of the striatal projection neurons (SPNs). Here, we report using two different experimental models that a transient increase in striatal dopamine and enhanced D1 receptor activation, during 6-OHDA dopamine depletion, prevent the loss of mature spines and dendritic arbors on direct pathway projection neurons (dSPNs) and normal motor behavior for up to 5 months. The primary motor cortex and midline thalamic nuclei provide the major excitatory connections to SPNs. Using ChR2-assisted circuit mapping to measure inputs from motor cortex M1 to dorsolateral dSPNs, we observed a dramatic reduction in both experimental model mice and controls following dopamine depletion. Changes in the intrinsic excitabilities of SPNs were also similar to controls following dopamine depletion. Future work will examine thalamic connections to dSPNs. The findings reported here reveal previously unappreciated plasticity mechanisms within the basal ganglia that can be leveraged to treat the motor symptoms of PD.
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Affiliation(s)
| | | | - David A. Henry
- Department of Neurobiology and Center for the Neural Basis of Cognition, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260
| | - Daniel J. Headrick
- Department of Neurobiology and Center for the Neural Basis of Cognition, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260
| | - Zane Hamdan
- Department of Neurobiology and Center for the Neural Basis of Cognition, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260
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Child B, Saywell I, da Silva R, Collins‐Praino L, Baetu I. Cognitive function in different motor subtypes of Parkinson's disease: A systematic review protocol. Health Sci Rep 2024; 7:e2092. [PMID: 38706802 PMCID: PMC11066185 DOI: 10.1002/hsr2.2092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 01/12/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024] Open
Abstract
Background and Aims As the fastest-growing neurological disorder globally, a better understanding of Parkinson's disease (PD) is needed to improve patient outcomes and reduce the increasing economic and healthcare burden associated with the disease. Whilst classified as a movement disorder, this disease is highly heterogeneous, encompassing a broad range of both motor and non-motor symptoms (NMS). Cognitive impairment, presenting as either mild cognitive impairment or PD-dementia, is one of the most prevalent and disabling NMS. To better understand heterogeneity in PD, researchers have sought to identify subtypes of individuals who share similar symptom profiles. To date, this research has predominantly focused on motor subtyping, with many studies comparing these motor subtypes on non-motor outcomes, such as cognitive impairment. However, despite evidence of a motor-cognitive relationship in healthy aging, findings regarding the presence of a motor-cognitive relationship in PD are inconsistent. In our proposed systematic review, we will investigate motor subtyping studies that have evaluated the relationship between motor and cognitive function in PD. We aim to examine what is currently known about the relationship between motor and cognitive impairment in PD and evaluate the state of the field with respect to the subtyping methods and quality of cognitive assessment tools used. Methods Systematic literature searches will be conducted in PubMed, PsycINFO, CINAHL, Scopus, and Web of Science. Results Results will be synthesized using meta-analysis and, where meta-analysis is not feasible, narrative synthesis. Conclusion Despite the preponderance of motor subtyping research in PD, our study will be the first to systematically review evidence regarding the association between motor subtypes and cognitive impairment. Understanding the nature of the motor-cognitive relationship in PD may lead to important insights regarding shared underlying disease pathology, which would have significant implications for early diagnosis, prognosis, and treatment of cognitive impairment in PD.
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Affiliation(s)
- Brittany Child
- School of PsychologyUniversity of AdelaideAdelaideAustralia
| | - Isaac Saywell
- School of PsychologyUniversity of AdelaideAdelaideAustralia
| | - Robyn da Silva
- College of Education, Psychology, and Social WorkFlinders UniversityAdelaideAustralia
| | | | - Irina Baetu
- School of PsychologyUniversity of AdelaideAdelaideAustralia
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Mulroy E, Erro R, Bhatia KP, Hallett M. Refining the clinical diagnosis of Parkinson's disease. Parkinsonism Relat Disord 2024; 122:106041. [PMID: 38360507 PMCID: PMC11069446 DOI: 10.1016/j.parkreldis.2024.106041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
Our ability to define, understand, and classify Parkinson's disease (PD) has undergone significant changes since the disorder was first described in 1817. Clinical features and neuropathologic signatures can now be supplemented by in-vivo interrogation of genetic and biological substrates of disease, offering great opportunity for further refining the diagnosis of PD. In this mini-review, we discuss the historical perspectives which shaped our thinking surrounding the definition and diagnosis of PD. We highlight the clinical, genetic, pathologic and biologic diversity which underpins the condition, and proceed to discuss how recent developments in our ability to define biologic and pathologic substrates of disease might impact PD definition, diagnosis, individualised prognostication, and personalised clinical care. We argue that Parkinson's 'disease', as currently diagnosed in the clinic, is actually a syndrome. It is the outward manifestation of any array of potential dysfunctional biologic processes, neuropathological changes, and disease aetiologies, which culminate in common outward clinical features which we term PD; each person has their own unique disease, which we can now define with increasing precision. This is an exciting time in PD research and clinical care. Our ability to refine the clinical diagnosis of PD, incorporating in-vivo assessments of disease biology, neuropathology, and neurogenetics may well herald the era of biologically-based, precision medicine approaches PD management. With this however comes a number of challenges, including how to integrate these technologies into clinical practice in a way which is acceptable to patients, promotes meaningful changes to care, and minimises health economic impact.
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Affiliation(s)
- Eoin Mulroy
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Roberto Erro
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, (SA), Italy
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
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Tian H, Yuan Y, Zhang K. Application of sensory nerve quantitative tests to analyze the subtypes of motor disorders in Parkinson's disease. Neuroreport 2024; 35:361-365. [PMID: 38526953 PMCID: PMC10965128 DOI: 10.1097/wnr.0000000000002016] [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] [Received: 01/11/2024] [Accepted: 01/27/2024] [Indexed: 03/27/2024]
Abstract
This study investigated the sensory nerve function in people with different subtypes of Parkinson's disease (PD), which included the tremor-dominant (TD) group (n = 30), postural instability and gait disorder (PIGD) group (n = 33), and healthy-controls (HC) group (n = 33). Sural nerve's current perception threshold (CPT) and pain tolerance threshold (PTT) in both feet were measured at different frequencies. Results were evaluated using the mini-mental state examination (MMSE), Hoehn Yahr scale (H-Y) , and 3-meter timed-up-and-go-test (TUGT). The MMSE scores of the TD and HC groups were higher than those of the PIGD group (TD < HC). The 3-meter TUGT scores of the PIGD group were higher than theTD and HC groups (TD > HC). The PIGD patients experienced a significantly shorter disease duration and higher H-Y score than the TD patients ( P < 0.05). The values of 2 KHz CPT of left-side (CPTL), 2KHz CPT of right-side (CPTR), and 5 Hz CPTR in the PIGD group were significantly higher compared to the TD and HC groups ( P < 0.05, Bonferroni correction). Additionally, the values of 250 Hz CPTL, 5 Hz CPTL, 250 Hz CPTR, 2 kHz PTT of left-side (PTTL), 250 Hz PTTL, and 5 Hz PTTL in the PIGD group were significantly elevated relative to the TD group ( P < 0.05, Bonferroni correction). Distinctive current threshold perception and PTT of the sural nerve can be observed in patients with varying PD subtypes, and sensory nerve conduction threshold electrical diagnostic testing can detect these discrepancies in sensory nerve function.
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Affiliation(s)
- Hongxue Tian
- Nanjing Medical University, Nanjing
- Department of Neurology, The Affiliated Kezhou People’s Hospital of Nanjing Medical University, Kezhou
| | - Yongsheng Yuan
- Nanjing Medical University, Nanjing
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Kezhong Zhang
- Nanjing Medical University, Nanjing
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Liu P, Chen L, He X, Mao L. Predictors of the Rapid Progression in Prodromal Parkinson's Disease: A Longitudinal Follow-Up Study. Gerontology 2024; 70:595-602. [PMID: 38565088 DOI: 10.1159/000538515] [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] [Received: 10/24/2023] [Accepted: 03/21/2024] [Indexed: 04/04/2024] Open
Abstract
INTRODUCTION Parkinson's disease (PD) is characterized by a prodromal phase preceding the onset of classic motor symptoms. The duration and clinical manifestations of prodromal PD vary widely, indicating underlying heterogeneity within this stage. This discrepancy prompts the question of whether specific factors contribute to the divergent rates of progression in prodromal PD. METHODS This study included prodromal PD patients from the Parkinson's progression marker initiative. They were followed up to assess the disease progression. The data collected during the follow-up period were analyzed to identify potential predictors of rapid disease progression in prodromal PD. RESULTS In this study, 61 individuals with prodromal PD were enrolled. Among them, 43 patients presented with both RBD and hyposmia, 17 had hyposmia alone, and 1 had RBD alone at baseline. 13 (21.3%) prodromal PD participants exhibited rapid disease progression, with two of these cases advancing to non-neurological diseases. Significant differences were observed between the rapid progression group and no rapid progression group in terms of MDS-UPDRS II score and UPSIT score. Longitudinal analysis showed a significant increase in the MDS-UPDRS III score and MDS-UPDRS total score in the rapid progression group. Regression analyses identified the MDS-UPDRS II score and UPSIT score as predictors of rapid disease progression in prodromal PD. CONCLUSION Our study findings suggest that the MDS-UPDRS II score and UPSIT score may serve as clinical markers associated with rapid disease progression. Further research and development of precise biomarkers and advanced assessment methods are needed to enhance our understanding of prodromal PD and its progression patterns.
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Affiliation(s)
- Peng Liu
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Linxi Chen
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
- Department of Pathology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Xinwei He
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Lingqun Mao
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
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10
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Qin Y, Meng DT, Jin ZH, Du WJ, Fang BY. Association between autonomic dysfunction with motor and non-motor symptoms in patients with Parkinson's disease. J Neural Transm (Vienna) 2024; 131:323-334. [PMID: 38253927 DOI: 10.1007/s00702-024-02745-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/15/2024] [Indexed: 01/24/2024]
Abstract
To investigate the association between autonomic dysfunction (AutD) and motor as well as non-motor symptoms (NMS) in patients with Parkinson's disease (PD). Fifty-three PD patients were divided into two groups based on the number of domains affected by AutD: a multi-domain AutD group (AutD-M) and a single-domain AutD group (AutD-S), as evaluated using the Scale for Outcomes in Parkinson's disease-Autonomic (SCOPA-AUT), which assesses autonomic symptoms, one of the NMS. A comprehensive comparison was conducted between the two groups, including clinical measures such as clinical scales, quantitative evaluations of motor function and exercise capacity. Spearman correlation analysis was employed to investigate the relationship between AutD severity and PD symptoms. Additionally, we performed multiple linear regression model analysis to determine whether associations between SCOPA-AUT scores and clinical assessments remained significant after adjusting for Hoehn and Yahr stage, sex, and age. PD patients in the AutD-M group exhibited significantly more severe NMS and motor symptoms compared to those in the AutD-S group. In correlation analysis, SCOPA-AUT scores showed significant correlations with multiple clinical symptoms, such as most of the NMS, 10-MWT and CPET parameters. Furthermore, regression analysis also revealed that more pronounced fatigue, anxiety, depressive symptoms, worse walking speed and impaired exercise capacity were associated with higher SCOPA-AUT scores. The presence of AutD is correlated with emotional disturbances, decreased exercise endurance, and impaired gait function in patients with PD. Early management of AutD may prove beneficial in alleviating some NMS and motor symptoms in PD.
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Affiliation(s)
- Yi Qin
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Beijing, 100144, China
- Beijing Rehabilitation Medical College, Capital Medical University, Beijing, China
| | - De-Tao Meng
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Beijing, 100144, China
| | - Zhao-Hui Jin
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Beijing, 100144, China
| | - Wen-Jun Du
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Beijing, 100144, China
| | - Bo-Yan Fang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Beijing, 100144, China.
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Sadeghi F, Pötter-Nerger M, Grimm K, Gerloff C, Schulz R, Zittel S. Smaller Cerebellar Lobule VIIb is Associated with Tremor Severity in Parkinson's Disease. CEREBELLUM (LONDON, ENGLAND) 2024; 23:355-362. [PMID: 36802020 PMCID: PMC10950956 DOI: 10.1007/s12311-023-01532-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 02/23/2023]
Abstract
Alterations in the cerebellum's morphology in Parkinson's disease (PD) point to its pathophysiological involvement in this movement disorder. Such abnormalities have previously been attributed to different PD motor subtypes. The aim of the study was to relate volumes of specific cerebellar lobules to motor symptom severity, in particular tremor (TR), bradykinesia/rigidity (BR), and postural instability and gait disorders (PIGD) in PD. We performed a volumetric analysis based on T1-weighted MRI images of 55 participants with PD (22 females, median age 65 years, Hoehn and Yahr stage 2). Multiple regression models were fitted to investigate associations between volumes of cerebellar lobules with clinical symptom severity based on MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III score and sub-scores for TR, BR, and PIGD; adjusted for age, sex, disease duration, and intercranial volume as cofactors. Smaller volume of lobule VIIb was associated with higher tremor severity (P = 0.004). No structure-function relationships were detected for other lobules or other motor symptoms. This distinct structural association denotes the involvement of the cerebellum in PD tremor. Characterizing morphological features of the cerebellum leads to a better understanding of its role in the spectrum of motor symptoms in PD and contributes further to identifying potential biological markers.
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Affiliation(s)
- Fatemeh Sadeghi
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Monika Pötter-Nerger
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Kai Grimm
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Christian Gerloff
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Robert Schulz
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Simone Zittel
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany.
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Li X, Chen C, Pan T, Zhou X, Sun X, Zhang Z, Wu D, Chen X. Trends and hotspots in non-motor symptoms of Parkinson's disease: a 10-year bibliometric analysis. Front Aging Neurosci 2024; 16:1335550. [PMID: 38298610 PMCID: PMC10827952 DOI: 10.3389/fnagi.2024.1335550] [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: 11/10/2023] [Accepted: 01/05/2024] [Indexed: 02/02/2024] Open
Abstract
Non-motor symptoms are prevalent among individuals with Parkinson's disease (PD) and seriously affect patient quality of life, even more so than motor symptoms. In the past decade, an increasing number of studies have investigated non-motor symptoms in PD. The present study aimed to comprehensively analyze the global literature, trends, and hotspots of research investigating non-motor symptoms in PD through bibliometric methods. Studies addressing non-motor symptoms in the Web of Science Core Collection (WoSCC), published between January 2013 and December 2022, were retrieved. Bibliometric methods, including the R package "Bibliometrix," VOS viewer, and CiteSpace software, were used to investigate and visualize parameters, including yearly publications, country/region, institution, and authors, to collate and quantify information. Analysis of keywords and co-cited references explored trends and hotspots. There was a significant increase in the number of publications addressing the non-motor symptoms of PD, with a total of 3,521 articles retrieved. The United States was ranked first in terms of publications (n = 763) and citations (n = 11,269), maintaining its leadership position among all countries. King's College London (United Kingdom) was the most active institution among all publications (n = 133) and K Ray Chaudhuri was the author with the most publications (n = 131). Parkinsonism & Related Disorders published the most articles, while Movement Disorders was the most cited journal. Reference explosions have shown that early diagnosis, biomarkers, novel magnetic resonance imaging techniques, and deep brain stimulation have become research "hotspots" in recent years. Keyword clustering revealed that alpha-synuclein is the largest cluster for PD. The keyword heatmap revealed that non-motor symptoms appeared most frequently (n = 1,104), followed by quality of life (n = 502), dementia (n = 403), and depression (n = 397). Results of the present study provide an objective, comprehensive, and systematic analysis of these publications, and identifies trends and "hot" developments in this field of research. This work will inform investigators worldwide to help them conduct further research and develop new therapies.
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Affiliation(s)
- Xuefeng Li
- Changchun University of Chinese Medicine, Changchun, China
| | - Chunhai Chen
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Ting Pan
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Xue Zhou
- Changchun University of Chinese Medicine, Changchun, China
| | - Xiaozhou Sun
- Center of Children's Clinic, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Ziyang Zhang
- Changchun University of Chinese Medicine, Changchun, China
| | - Dalong Wu
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Xinhua Chen
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China
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13
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Houle N, Feaster T, Mira A, Meeks K, Stepp CE. Sex Differences in the Speech of Persons With and Without Parkinson's Disease. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2024; 33:96-116. [PMID: 37889201 PMCID: PMC11000784 DOI: 10.1044/2023_ajslp-22-00350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/24/2023] [Accepted: 08/30/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Sex differences are apparent in the prevalence and the clinical presentation of Parkinson's disease (PD), but their effects on speech have been less studied. METHOD Speech acoustics of persons with (34 females and 34 males) and without (age- and sex-matched) PD were examined, assessing the effects of PD diagnosis and sex on ratings of dysarthria severity and acoustic measures of phonation (fundamental frequency standard deviation, smoothed cepstral peak prominence), speech rate (net syllables per second, percent pause ratio), and articulation (articulatory-acoustic vowel space, release burst precision). RESULTS Most measures were affected by PD (dysarthria severity, fundamental frequency standard deviation) and sex (smoothed cepstral peak prominence, net syllables per second, percent pause ratio, articulatory-acoustic vowel space), but without interactions between them. Release burst precision was differentially affected by sex in PD. Relative to those without PD, persons with PD produced fewer plosives with a single burst: females more frequently produced multiple bursts, whereas males more frequently produced no burst at all. CONCLUSIONS Most metrics did not indicate that speech production is differentially affected by sex in PD. Sex was, however, associated with disparate effects on release burst precision in PD, which deserves further study. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.24388666.
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Affiliation(s)
- Nichole Houle
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
| | - Taylor Feaster
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
| | - Amna Mira
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
- College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia
- King Abdullah International Medical Research Center, Jeddah, Saudi Arabia
| | - Kirsten Meeks
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
| | - Cara E. Stepp
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
- Department of Biomedical Engineering, Boston University, MA
- Department of Otolaryngology–Head & Neck Surgery, Boston University School of Medicine, MA
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14
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Di Folco C, Couronné R, Arnulf I, Mangone G, Leu-Semenescu S, Dodet P, Vidailhet M, Corvol JC, Lehéricy S, Durrleman S. Charting Disease Trajectories from Isolated REM Sleep Behavior Disorder to Parkinson's Disease. Mov Disord 2024; 39:64-75. [PMID: 38006282 DOI: 10.1002/mds.29662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/03/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Clinical presentation and progression dynamics are variable in patients with Parkinson's disease (PD). Disease course mapping is an innovative disease modelling technique that summarizes the range of possible disease trajectories and estimates dimensions related to onset, sequence, and speed of progression of disease markers. OBJECTIVE To propose a disease course map for PD and investigate progression profiles in patients with or without rapid eye movement sleep behavioral disorders (RBD). METHODS Data of 919 PD patients and 88 isolated RBD patients from three independent longitudinal cohorts were analyzed (follow-up duration = 5.1; 95% confidence interval, 1.1-8.1] years). Disease course map was estimated by using eight clinical markers (motor and non-motor symptoms) and four imaging markers (dopaminergic denervation). RESULTS PD course map showed that the first changes occurred in the contralateral putamen 13 years before diagnosis, followed by changes in motor symptoms, dysautonomia, sleep-all before diagnosis-and finally cognitive decline at the time of diagnosis. The model showed earlier disease onset, earlier non-motor and later motor symptoms, more rapid progression of cognitive decline in PD patients with RBD than PD patients without RBD. This pattern was even more pronounced in patients with isolated RBD with early changes in sleep, followed by cognition and non-motor symptoms and later changes in motor symptoms. CONCLUSIONS Our findings are consistent with the presence of distinct patterns of progression between patients with and without RBD. Understanding heterogeneity of PD progression is key to decipher the underlying pathophysiology and select homogeneous subgroups of patients for precision medicine. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Cécile Di Folco
- Inria, Centre de Paris, Paris, France
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Raphaël Couronné
- Inria, Centre de Paris, Paris, France
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Isabelle Arnulf
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Graziella Mangone
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Smaranda Leu-Semenescu
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Pauline Dodet
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Marie Vidailhet
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Jean-Christophe Corvol
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Stéphane Lehéricy
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Stanley Durrleman
- Inria, Centre de Paris, Paris, France
- Paris Brain Institute-ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- Sorbonne Université, Paris, France
- AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France
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15
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Hu Z, Sun P, George A, Zeng X, Li M, Lin TH, Ye Z, Wei X, Jiang X, Song SK, Yang R. Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson's disease. Eur Radiol 2023; 33:9109-9119. [PMID: 37438642 DOI: 10.1007/s00330-023-09780-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/13/2023] [Accepted: 03/30/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVES Using diffusion basis spectrum imaging (DBSI) to examine the microstructural changes in the substantia nigra (SN) and global white matter (WM) tracts of patients with early-stage PD. METHODS Thirty-seven age- and sex-matched patients with early-stage PD and 22 healthy controls (HCs) were enrolled in this study. All participants underwent clinical assessments and diffusion-weighted MRI scans, analyzed by diffusion tensor imaging (DTI) and DBSI to assess the pathologies of PD in SN and global WM tracts. RESULTS The lower DTI fraction anisotropy (FA) was seen in SN of PD patients (PD: 0.316 ± 0.034 vs HCs: 0.331 ± 0.019, p = 0.015). The putative cells marker-DBSI-restricted fraction (PD: 0.132 ± 0.051 vs HCs: 0.105 ± 0.039, p = 0.031) and the edema/extracellular space marker-DBSI non-restricted-fraction (PD: 0.150 ± 0.052 vs HCs: 0.122 ± 0.052, p = 0.020) were both significantly higher and the density of axons/dendrites marker-DBSI fiber-fraction (PD: 0.718 ± 0.073 vs HCs: 0.773 ± 0.071, p = 0.003) was significantly lower in SN of PD patients. DBSI-restricted fraction in SN was negatively correlated with HAMA scores (r = - 0.501, p = 0.005), whereas DTI-FA was not correlated with any clinical scales. In WM tracts, only higher DTI axial diffusivity (AD) among DTI metrics was found in multiple WM regions in PD, while lower DBSI fiber-fraction and higher DBSI non-restricted-fraction were detected in multiple WM regions. DBSI non-restricted-fraction in both left fornix (cres)/stria terminalis (r = -0.472, p = 0.004) and right posterior thalamic radiation (r = - 0.467, p = 0.005) was negatively correlated with MMSE scores. CONCLUSION DBSI could potentially detect and quantify the extent of inflammatory cell infiltration, fiber/dendrite loss, and edema in both SN and WM tracts in patients with early-stage PD, a finding remains to be further investigated through more extensive longitudinal DBSI analysis. CLINICAL RELEVANCE STATEMENT Our study shows that DBSI indexes can potentially detect early-stage PD's pathological changes, with a notable ability to distinguish between inflammation and edema. This implies that DBSI has the potential to be an imaging biomarker for early PD diagnosis. KEY POINTS • Diffusion basis spectrum imaging detected higher restricted-fraction in Parkinson's disease, potentially reflecting inflammatory cell infiltration. • Diffusion basis spectrum imaging detected higher non-restricted-fraction and lower fiber-fraction in Parkinson's disease, indicating the presence of edema and/or dopaminergic neuronal/dendritic loss. • Diffusion basis spectrum imaging metrics correlated with non-motor symptoms, suggesting its potential diagnostic role to detect early-stage PD dysfunctions.
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Affiliation(s)
- Zexuan Hu
- Department of Radiology, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangdong, 510310, Guangzhou, China
| | - Peng Sun
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Ajit George
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Xiangling Zeng
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Mengyan Li
- Department of Neurology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Tsen-Hsuan Lin
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Zezhong Ye
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Xinhua Wei
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Xinqing Jiang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Sheng-Kwei Song
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA.
| | - Ruimeng Yang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China.
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16
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Rodriguez Salgado AM, Acosta I, Kim DJ, Zitser J, Sosa AL, Acosta D, Jimenez-Velasquez IZ, Guerra M, Salas A, Valvuerdi A, Llibre-Guerra JC, Jeyachandran C, Contreras RL, Hesse H, Tanner C, Llibre Rodriguez JJ, Prina M, Llibre-Guerra JJ. Prevalence and impact of neuropsychiatric symptoms in normal aging and neurodegenerative syndromes: A population-based study from Latin America. Alzheimers Dement 2023; 19:5730-5741. [PMID: 37427840 PMCID: PMC10776811 DOI: 10.1002/alz.13384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/23/2023] [Accepted: 06/16/2023] [Indexed: 07/11/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPSs) are common in neurodegenerative diseases; however, little is known about the prevalence of NPSs in Hispanic populations. METHODS Using data from community-dwelling participants age 65 years and older enrolled in the 10/66 study (N = 11,768), we aimed to estimate the prevalence of NPSs in Hispanic populations with dementia, parkinsonism, and parkinsonism-dementia (PDD) relative to healthy aging. The Neuropsychiatric Inventory Questionnaire (NPI-Q) was used to assess NPSs. RESULTS NPSs were highly prevalent in Hispanic populations with neurodegenerative disease; approximately 34.3%, 56.1%, and 61.2% of the participants with parkinsonism, dementia, and PDD exhibited three or more NPSs, respectively. NPSs were the major contributor to caregiver burden. DISCUSSION Clinicians involved in the care of elderly populations should proactively screen for NPSs, especially in patients with parkinsonism, dementia, and PPD, and develop intervention plans to support families and caregivers. Highlights Neuropsychiatric symptoms (NPSs) are highly prevalent in Hispanic populations with neurodegenerative diseases. In healthy Hispanic populations, NPSs are predominantly mild and not clinically significant. The most common NPSs include depression, sleep disorders, irritability, and agitation. NPSs explain a substantial proportion of the variance in global caregiver burden.
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Affiliation(s)
- Ana M Rodriguez Salgado
- Global Brain Health Institute, University of San Francisco California, San Francisco, California, USA
| | - Isaac Acosta
- Laboratory of the Dementias, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
- National Autonomous University of Mexico, Mexico City, Mexico
| | - Dani J Kim
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jennifer Zitser
- Department of Neurology, Movement Disorders Unit, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Ana Luisa Sosa
- Laboratory of the Dementias, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
- National Autonomous University of Mexico, Mexico City, Mexico
| | - Daisy Acosta
- Universidad Nacional Pedro Henriquez Ureña (UNPHU), Internal Medicine Department, Geriatric Section, Santo Domingo, Dominican Republic
| | - Ivonne Z Jimenez-Velasquez
- Internal Medicine Department, Geriatrics Program, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
| | - Mariella Guerra
- Instituto de la Memoria Depresion y Enfermedades de Riesgo IMEDER, Lima, Perú
| | - Aquiles Salas
- Medicine Department, Caracas University Hospital, Faculty of Medicine, Universidad Central de Venezuela, Caracas, Venezuela
| | | | | | | | - Ricardo López Contreras
- Memory Clinic, Neurology Service, Salvadoran Social Security Institute, San Salvador, El Salvador
| | - Heike Hesse
- Universidad Tecnológica Centroamericana, Tegucigalpa, Honduras
| | - Caroline Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of California-San Francisco, San Francisco, California, USA
| | | | - Matthew Prina
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Jorge J Llibre-Guerra
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
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17
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Pogorelov VM, Martini ML, Jin J, Wetsel WC, Caron MG. Dopamine-Depleted Dopamine Transporter Knockout (DDD) Mice: Dyskinesia with L-DOPA and Dopamine D1 Agonists. Biomolecules 2023; 13:1658. [PMID: 38002340 PMCID: PMC10669682 DOI: 10.3390/biom13111658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/13/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023] Open
Abstract
L-DOPA is the mainstay of treatment for Parkinson's disease (PD). However, over time this drug can produce dyskinesia. A useful acute PD model for screening novel compounds for anti-parkinsonian and L-DOPA-induced dyskinesia (LID) are dopamine-depleted dopamine-transporter KO (DDD) mice. Treatment with α-methyl-para-tyrosine rapidly depletes their brain stores of DA and renders them akinetic. During sensitization in the open field (OF), their locomotion declines as vertical activities increase and upon encountering a wall they stand on one leg or tail and engage in climbing behavior termed "three-paw dyskinesia". We have hypothesized that L-DOPA induces a stereotypic activation of locomotion in DDD mice, where they are unable to alter the course of their locomotion, and upon encountering walls engage in "three-paw dyskinesia" as reflected in vertical counts or beam-breaks. The purpose of our studies was to identify a valid index of LID in DDD mice that met three criteria: (a) sensitization with repeated L-DOPA administration, (b) insensitivity to a change in the test context, and (c) stimulatory or inhibitory responses to dopamine D1 receptor agonists (5 mg/kg SKF81297; 5 and 10 mg/kg MLM55-38, a novel compound) and amantadine (45 mg/kg), respectively. Responses were compared between the OF and a circular maze (CM) that did not hinder locomotion. We found vertical counts and climbing were specific for testing in the OF, while oral stereotypies were sensitized to L-DOPA in both the OF and CM and responded to D1R agonists and amantadine. Hence, in DDD mice oral stereotypies should be used as an index of LID in screening compounds for PD.
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Affiliation(s)
- Vladimir M. Pogorelov
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, 354 Sands Building, 303 Research Drive, Durham, NC 27710, USA
| | - Michael L. Martini
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (M.L.M.); (J.J.)
| | - Jian Jin
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (M.L.M.); (J.J.)
| | - William C. Wetsel
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, 354 Sands Building, 303 Research Drive, Durham, NC 27710, USA
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA;
- Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Marc G. Caron
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA;
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18
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Wang Q, Ruan Z, Jing L, Guo Z, Zhang X, Liu J, Tian L, Sun W, Song S, Hong JS, Shih YYI, Hou L, Wang Q. Complement receptor 3-mediated neurotoxic glial activation contributes to rotenone-induced cognitive decline in mice. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115550. [PMID: 37832486 PMCID: PMC10807506 DOI: 10.1016/j.ecoenv.2023.115550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/02/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023]
Abstract
Microglia-mediated chronic neuroinflammation has been associated with cognitive decline induced by rotenone, a well-known neurotoxic pesticide used in agriculture. However, the mechanisms remain unclear. This work aimed to elucidate the role of complement receptor 3 (CR3), a highly expressed receptor in microglia, in cognitive deficits induced by rotenone. Rotenone up-regulated the expression of CR3 in the hippocampus and cortex area of mice. CR3 deficiency markedly ameliorated rotenone-induced cognitive impairments, neurodegeneration and phosphorylation (Ser129) of α-synuclein in mice. CR3 deficiency also attenuated rotenone-stimulated microglial M1 activation. In microglial cells, siRNA-mediated knockdown of CR3 impeded, while CR3 activation induced by LL-37 exacerbated, rotenone-induced microglial M1 activation. Mechanistically, CR3 deficiency blocked rotenone-induced activation of nuclear factor κB (NF-κB), signal transducer and activator of transcription 1 (STAT1) and STAT3 signaling pathways. Pharmacological inhibition of NF-κB or STAT3 but not STAT1 was confirmed to suppress microglial M1 activation elicited by rotenone. Further study revealed that CR3 deficiency or knockdown also reduced rotenone-induced expression of C3, an A1 astrocyte marker, and production of microglial C1q, TNFα and IL-1α, a cocktail for activated microglia to induce neurotoxic A1 astrocytes, via NF-κB and STAT3 pathways. Finally, a small molecule modulator of CR3 efficiently mitigated rotenone-elicited cognitive deficits in mice even administered after the establishment of cognitive dysfunction. Taken together, our findings demonstrated that CR3 is a key factor in mediating neurotoxic glial activation and subsequent cognitive impairments in rotenone-treated mice, giving novel insights into the immunopathogenesis of cognitive impairments in pesticide-related Parkinsonism.
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Affiliation(s)
- Qinghui Wang
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
- Department of Anesthesiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, 116023, China
| | - Zhengzheng Ruan
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Lu Jing
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Ziyang Guo
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Xiaomeng Zhang
- Neuropharmacology Section, Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Jianing Liu
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Lu Tian
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Wei Sun
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Sheng Song
- Biomedical Research Imaging Center, University of North Caroline at Chapel Hill, Chapel Hill, NC, USA
| | - Jau-Shyong Hong
- Neuropharmacology Section, Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Yen-Yu Ian Shih
- Biomedical Research Imaging Center, University of North Caroline at Chapel Hill, Chapel Hill, NC, USA
| | - Liyan Hou
- Dalian Medical University Library, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
| | - Qingshan Wang
- School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian 116044, China
- National-Local Joint Engineering Research Center for Drug-Research and Development (R & D) of Neurodegenerative Diseases, Dalian Medical University, Dalian 116044, China
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de Andrade DC, Mylius V, Perez-Lloret S, Cury RG, Bannister K, Moisset X, Taricani Kubota G, Finnerup NB, Bouhassira D, Chaudhuri KR, Graven-Nielsen T, Treede RD. Pain in Parkinson disease: mechanistic substrates, main classification systems, and how to make sense out of them. Pain 2023; 164:2425-2434. [PMID: 37318012 DOI: 10.1097/j.pain.0000000000002968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 05/02/2023] [Indexed: 06/16/2023]
Abstract
ABSTRACT Parkinson disease (PD) affects up to 2% of the general population older than 65 years and is a major cause of functional loss. Chronic pain is a common nonmotor symptom that affects up to 80% of patients with (Pw) PD both in prodromal phases and during the subsequent stages of the disease, negatively affecting patient's quality of life and function. Pain in PwPD is rather heterogeneous and may occur because of different mechanisms. Targeting motor symptoms by dopamine replacement or with neuromodulatory approaches may only partially control PD-related pain. Pain in general has been classified in PwPD according to the motor signs, pain dimensions, or pain subtypes. Recently, a new classification framework focusing on chronic pain was introduced to group different types of PD pains according to mechanistic descriptors: nociceptive, neuropathic, or neither nociceptive nor neuropathic. This is also in line with the International Classification of Disease-11 , which acknowledges the possibility of chronic secondary musculoskeletal or nociceptive pain due to disease of the CNS. In this narrative review and opinion article, a group of basic and clinical scientists revise the mechanism of pain in PD and the challenges faced when classifying it as a stepping stone to discuss an integrative view of the current classification approaches and how clinical practice can be influenced by them. Knowledge gaps to be tackled by coming classification and therapeutic efforts are presented, as well as a potential framework to address them in a patient-oriented manner.
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Affiliation(s)
- Daniel Ciampi de Andrade
- Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Veit Mylius
- Department of Neurology, Centre for Neurorehabilitation, Valens, Switzerland
- Department of Neurology, Philipps University, Marburg, Germany
- Department of Neurology, Kantonsspital, St. Gallen, Switzerland
| | - Santiago Perez-Lloret
- Observatorio de Salud Pública, Universidad Católica Argentina, Consejo de Investigaciones Científicas y Técnicas (UCA-CONICET), Buenos Aires, Argentina
- Facultad de Medicina, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina
- Departamento de Fisiología, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Rubens G Cury
- Movement Disorders Center, Department of Neurology, University of Sao Paulo, Sao Paulo, Brazil
| | - Kirsty Bannister
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Xavier Moisset
- Université Clermont Auvergne, CHU de Clermont-Ferrand, Inserm, Neuro-Dol, Clermont-Ferrand, France
| | - Gabriel Taricani Kubota
- Department of Neurology, Centre for Neurorehabilitation, Valens, Switzerland
- Pain Center, University of Sao Paulo Clinics Hospital, Sao Paulo, Brazil
- Center for Pain Treatment, Institute of Cancer of the State of Sao Paulo, University of Sao Paulo Clinics Hospital, Sao Paulo, Brazil
| | - Nanna B Finnerup
- Danish Pain Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Didier Bouhassira
- Inserm U987, APHP, UVSQ, Paris-Saclay University, Ambroise Pare Hospital, Boulogne-Billancourt, France
| | - Kallol Ray Chaudhuri
- Division of Neuroscience, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Parkinson Foundation Centre of Excellence in Care and Research, King's College Hospital NHS Foundation Trust, London, United Kingdom
| | - Thomas Graven-Nielsen
- Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Rolf-Detlef Treede
- Department of Neurophysiology, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany
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20
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Bartsch T, Berg D, Heneka M, Leypoldt F. [Parkinson's and Alzheimer's disease as system-wide neurodegenerative disorders]. DER NERVENARZT 2023; 94:875-884. [PMID: 37672086 DOI: 10.1007/s00115-023-01542-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/25/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND Parkinson's and Alzheimer's disease (PD/AD) are characterized by cellular pathological changes that precede clinical manifestation and symptom onset by decades (prodromal period) as well as by a heterogeneity of clinical symptoms. Both diseases are recognized as system-wide diseases with organ-transgressing dysregulation and involvement of immunological and neuroinflammatory mechanisms facilitating pathological protein aggregation and neurodegeneration. OBJECTIVES Overview of natural course, phenotypes and classification of PD/AD with a focus on underlying (system-wide) immunological and neuroinflammatory mechanisms. METHODS Literature research and consideration of expert opinions. RESULTS The accumulation of misfolded proteins such as amyloid‑β and synuclein in the course of neurodegenerative processes forms the basis of the current biological classifications, understanding of course and subtypes. Protein aggregation in PD/AD induces an innate immune response by activating microglia and the release of inflammatory mediators such as cytokines and chemokines and leading to further spread of neurodegeneration and accumulation of intracellular neurofibrillary tangles (NFTs). There is also growing evidence that adaptive immune responses involving auto-antibodies or auto-antigen-specific T‑/B-cell reactions involving tau, amyloid‑β or synuclein might be involved in the disease progression or subtypes of PD/AD. CONCLUSIONS Both innate and adaptive immune responses seem to be substantially involved in the pathological cascade leading to neurodegeneration in PD/AD and may contribute to disease progression and clinical subtypes. Thus, future targeted interventions should not only focus on protein aggregation but also on neuroinflammatory and immunological mechanisms.
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Affiliation(s)
- Thorsten Bartsch
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland.
- Klinik für Neurologie, AG Gedächtnis und Plastizität, Gedächtnis- und Demenzsprechstunde, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Deutschland.
| | - Daniela Berg
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland
| | - Michael Heneka
- Luxembourg Centre for Systems Biomedicine, Université du Luxembourg, Belvaux, Luxemburg
| | - Frank Leypoldt
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland
- Institut für Klinische Chemie, Universitätsklinikum Schleswig-Holstein, Campus Kiel und Lübeck, Kiel, Deutschland
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21
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Tall P, Qamar MA, Rosenzweig I, Raeder V, Sauerbier A, Heidemarie Z, Falup-Pecurariu C, Chaudhuri KR. The Park Sleep subtype in Parkinson's disease: from concept to clinic. Expert Opin Pharmacother 2023; 24:1725-1736. [PMID: 37561080 DOI: 10.1080/14656566.2023.2242786] [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] [Received: 04/10/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023]
Abstract
INTRODUCTION The heterogeneity of Parkinson's disease (PD) is evident from descriptions of non-motor (NMS) subtypes and Park Sleep, originally identified by Sauerbier et al. 2016, is one such clinical subtype associated with the predominant clinical presentation of sleep dysfunctions including excessive daytime sleepiness (EDS), along with insomnia. AREAS COVERED A literature search was conducted using the PubMed, Medline, Embase, and Web of Science databases, accessed between 1 February 2023 and 28 March 2023. In this review, we describe the clinical subtype of Park Sleep and related 'tests' ranging from polysomnography to investigational neuromelanin MRI brain scans and some tissue-based biological markers. EXPERT OPINION Cholinergic, noradrenergic, and serotonergic systems are dominantly affected in PD. Park Sleep subtype is hypothesized to be associated primarily with serotonergic deficit, clinically manifesting as somnolence and narcoleptic events (sleep attacks), with or without rapid eye movement behavior disorder (RBD). In clinic, Park Sleep recognition may drive lifestyle changes (e.g. driving) along with therapy adjustments as Park Sleep patients may be sensitive to dopamine D3 active agonists, such as ropinirole and pramipexole. Specific dashboard scores based personalized management options need to be implemented and include pharmacological, non-pharmacological, and lifestyle linked advice.
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Affiliation(s)
- Phoebe Tall
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Mubasher A Qamar
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPpn), King's College London, London, UK
- Sleep Disorder Centre, Nuffield House, Guy's Hospital, London, UK
| | - Vanessa Raeder
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität, Berlin, Germany
| | - Anna Sauerbier
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Zach Heidemarie
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Cristian Falup-Pecurariu
- Faculty of Medicine, Transilvania University of Braşov, Brașov, Romania
- Department of Neurology, County Clinic Hospital, Braşov, Romania
| | - Kallol Ray Chaudhuri
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
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22
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Saito H. Sudomotor deficits in Parkinson's disease with special reference to motor subtypes. Parkinsonism Relat Disord 2023; 114:105489. [PMID: 37540935 DOI: 10.1016/j.parkreldis.2023.105489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 06/07/2023] [Accepted: 06/10/2023] [Indexed: 08/06/2023]
Abstract
INTRODUCTION Parkinson's disease which shows clinically heterogeneous motor derangement may also accompany various autonomic disorders, but results of previous research on incidence and degree of each autonomic dysfunction have been inconsistent. As for sudomotor dysfunction, some investigators emphasize hypo- or anhidrois, whereas others stress hyperhidrosis. SUBJECTS AND METHODS To elucidate sudomotor dysfunctions in Parkinson's disease (PD) with respect to subtypes, 225 clinically probable patients PD patients were stratified by motor phenotype (tremor-dominant group: 33; mixed group: 105; and akinesia-rigidity group: 87) and subjected to thermal and acetylcholine-induced (focal) sweating tests. Thermal sweating was qualitatively assessed with a modified version of Minor's colorimetric methods. Thermoregulatory and acetylcholine-induced focal sweat rates were measured with capacitance hydrometers. RESULTS Thermoregulatory sweating was almost normal without anhidrotic area in 29.8% of PD patients, slightly defective in 38.7%, with anhidrotic area across <1/4 of the body surface, moderately defective in 22.2% with anhidrotic area across approximately 1/2 of the body surface, and extremely defective in 9.3% with anhidrotic area across more than 3/4 of the body surface. Patchy sweating was observed in 104 patients, implicating involvement of the hypothalamo-spinal and/or preganglionic systems in the disease process. Hyperhidrosis was seen in 15% of patients. Tremor-dominant group showed least impairment. CONCLUSION This study suggests that PD is associated with various patterns and degree of sudomotor abnormalities, and that sudomotor sympathetic deficits may be related with the pathophysiology of akinesia and rigidity rather than that of resting tremor.
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Affiliation(s)
- Hiroshi Saito
- Department of Neurology, Sendai Eastern Neurosurgical Hospital, Sendai, 983-0821, Japan.
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23
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Rudisch DM, Krasko MN, Burdick R, Broadfoot CK, Rogus-Pulia N, Ciucci MR. Dysphagia in Parkinson Disease: Part I - Pathophysiology and Diagnostic Practices. CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS 2023; 11:176-187. [PMID: 37608845 PMCID: PMC10441627 DOI: 10.1007/s40141-023-00392-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2023] [Indexed: 03/30/2023]
Abstract
Purpose of Review Dysphagia affects the majority of individuals with Parkinson disease (PD) and is not typically diagnosed until later in disease progression. This review will cover the current understanding of PD pathophysiology, and provides an overview of dysphagia in PD including diagnostic practices, gaps in knowledge, and future directions. Recent Findings Many non-motor and other motor signs of PD appear in the prodrome prior to the manifestation of hall- mark signs and diagnosis. While dysphagia often presents already in the prodrome, it is not routinely addressed in standard neurology examinations. Summary Dysphagia in PD can result in compromised efficiency and safety of swallowing, which significantly contributes to malnutrition and dehydration, decrease quality of life, and increase mortality. The heterogeneous clinical presentation of PD complicates diagnostic procedures which often leads to delayed treatment. Research has advanced our knowledge of mechanisms underlying PD, but dysphagia is still largely understudied, especially in the prodromal stage.
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Affiliation(s)
- Denis Michael Rudisch
- Department of Surgery, Division of Otolaryngology-Head & Neck Surgery, University of Wisconsin-Madison, 1300 University Ave, Madison, WI 53706, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, 1975 Willow Drive, Madison, WI 53706, USA
| | - Maryann N Krasko
- Department of Surgery, Division of Otolaryngology-Head & Neck Surgery, University of Wisconsin-Madison, 1300 University Ave, Madison, WI 53706, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, 1975 Willow Drive, Madison, WI 53706, USA
| | - Ryan Burdick
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, 1685 Highland Avenue, Madison, WI 53705, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
| | - Courtney K Broadfoot
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, 1685 Highland Avenue, Madison, WI 53705, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
| | - Nicole Rogus-Pulia
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, 1685 Highland Avenue, Madison, WI 53705, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
| | - Michelle R Ciucci
- Department of Surgery, Division of Otolaryngology-Head & Neck Surgery, University of Wisconsin-Madison, 1300 University Ave, Madison, WI 53706, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, 1975 Willow Drive, Madison, WI 53706, USA
- Neuroscience Training Program, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705, USA
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24
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Figorilli M, Meloni M, Lanza G, Casaglia E, Lecca R, Saibene FL, Congiu P, Puligheddu M. Considering REM Sleep Behavior Disorder in the Management of Parkinson's Disease. Nat Sci Sleep 2023; 15:333-352. [PMID: 37180094 PMCID: PMC10167974 DOI: 10.2147/nss.s266071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is the result of the loss of physiological inhibition of muscle tone during REM sleep, characterized by dream-enacting behavior and widely recognized as a prodromal manifestation of alpha-synucleinopathies. Indeed, patients with isolated RBD (iRBD) have an extremely high estimated risk to develop a neurodegenerative disease after a long follow up. Nevertheless, in comparison with PD patients without RBD (PDnoRBD), the occurrence of RBD in the context of PD (PDRBD) seems to identify a unique, more malignant phenotype, characterized by a more severe burden of disease in terms of both motor and non-motor symptoms and increased risk for cognitive decline. However, while some medications (eg, melatonin, clonazepam, etc.) and non-pharmacological options have been found to have some therapeutic benefits on RBD there is no available treatment able to modify the disease course or, at least, slow down the neurodegenerative process underlying phenoconversion. In this scenario, the long prodromal phase may allow an early therapeutic window and, therefore, the identification of multimodal biomarkers of disease onset and progression is becoming increasingly crucial. To date, several clinical (motor, cognitive, olfactory, visual, and autonomic features) neurophysiological, neuroimaging, biological (biofluids or tissue biopsy), and genetic biomarkers have been identified and proposed, also in combination, as possible diagnostic or prognostic markers, along with a potential role for some of them as outcome measures and index of treatment response. In this review, we provide an insight into the present knowledge on both existing and future biomarkers of iRBD and highlight the difference with PDRBD and PDnoRBD, including currently available treatment options.
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Affiliation(s)
- Michela Figorilli
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Mario Meloni
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, Troina, Italy
| | - Elisa Casaglia
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Rosamaria Lecca
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Patrizia Congiu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Monica Puligheddu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Ray Chaudhuri K, Leta V, Bannister K, Brooks DJ, Svenningsson P. The noradrenergic subtype of Parkinson disease: from animal models to clinical practice. Nat Rev Neurol 2023:10.1038/s41582-023-00802-5. [PMID: 37142796 DOI: 10.1038/s41582-023-00802-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2023] [Indexed: 05/06/2023]
Abstract
Many advances in understanding the pathophysiology of Parkinson disease (PD) have been based on research addressing its motor symptoms and phenotypes. Various data-driven clinical phenotyping studies supported by neuropathological and in vivo neuroimaging data suggest the existence of distinct non-motor endophenotypes of PD even at diagnosis, a concept further strengthened by the predominantly non-motor spectrum of symptoms in prodromal PD. Preclinical and clinical studies support early dysfunction of noradrenergic transmission in both the CNS and peripheral nervous system circuits in patients with PD that results in a specific cluster of non-motor symptoms, including rapid eye movement sleep behaviour disorder, pain, anxiety and dysautonomia (particularly orthostatic hypotension and urinary dysfunction). Cluster analyses of large independent cohorts of patients with PD and phenotype-focused studies have confirmed the existence of a noradrenergic subtype of PD, which had been previously postulated but not fully characterized. This Review discusses the translational work that unravelled the clinical and neuropathological processes underpinning the noradrenergic PD subtype. Although some overlap with other PD subtypes is inevitable as the disease progresses, recognition of noradrenergic PD as a distinct early disease subtype represents an important advance towards the delivery of personalized medicine for patients with PD.
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Affiliation(s)
- K Ray Chaudhuri
- Department of Basic and Clinical Neurosciences, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK.
| | - Valentina Leta
- Department of Basic and Clinical Neurosciences, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK
| | - Kirsty Bannister
- Central Modulation of Pain Lab, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - David J Brooks
- Institute of Translational and Clinical Research, University of Newcastle upon Tyne, Newcastle, UK
- Department of Nuclear Medicine, Aarhus University, Aarhus, Denmark
| | - Per Svenningsson
- Department of Basic and Clinical Neurosciences, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
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26
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Zhang X, Li L, Qi L, Fu Y, Sun D, Chen S, Xu W, Liu C, Zhou X, He G. Distribution pattern of iron deposition in the basal ganglia of different motor subtypes of Parkinson's disease. Neurosci Lett 2023; 807:137249. [PMID: 37061026 DOI: 10.1016/j.neulet.2023.137249] [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: 01/12/2023] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 04/17/2023]
Abstract
OBJECTIVE The quantitative susceptibility mapping (QSM) technique was used to analyze the distribution pattern of iron deposition in the basal ganglia region of patients with motor subtypes of Parkinson's disease (PD) and to explore the difference in iron content in the basal ganglia region of PD motor subtypes on the major motor symptomatic side. METHODS The study included 76 patients with PD and 37 healthy controls (HC). Patients with PD were divided into two groups: postural instability/gait disorder (PIGD)(n = 48), and tremor dominance (TD)(n = 28). We classified patients with PD according to the side of the major motor symptoms as left PIGD (n = 23), left TD (n = 14), right PIGD (n = 25), and right TD (n = 14). All subjects underwent brain magnetic resonance scanning to obtain QSM and susceptibility values in the corresponding regions of interest (ROI). RESULTS (1) Compared with the HC, the bilateral SN in the PD-PIGD and TD group showed greater susceptibility values. The susceptibility values in the left CN, bilateral PUT were also greater in the PD-PIGD group than the HC. (2) Compared with the TD, the left PUT susceptibility values were greater in the PIGD group, especially in patients whose major symptomatic side were on the right limb. (3) Correlation analysis showed that in the PD group, bilateral SN was positively correlated with the unified Parkinson's disease rating scale III part scores of the Movement Disorder Society (MDS-UPDRS III) and the Hoehn-Yahr stage. Bilateral dentate nucleus (DN) susceptibility values were significantly positively correlated with TD scores, and left PUT susceptibility values were positively correlated with PIGD scores. The left SN within the PIGD group was positively correlated with the PIGD score. CONCLUSION There were different iron deposition patterns in the basal ganglia between the PD-PIGD and TD groups. There also seems to be a difference in iron deposition in PD motor subtypes on different major motor symptom sides.
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Affiliation(s)
- Xun Zhang
- Department of Neurology, the Yancheng Clinical College of Xuzhou Medical University, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Lei Li
- Department of Neurology, the Yancheng Clinical College of Xuzhou Medical University, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Longxiu Qi
- Department of Magnetic Resonance, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Yigang Fu
- Department of Magnetic Resonance, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Dingming Sun
- Department of Neurology, the Yancheng Clinical College of Xuzhou Medical University, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Songjie Chen
- Department of Neurology, the Yancheng Clinical College of Xuzhou Medical University, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Weihu Xu
- Department of Magnetic Resonance, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Changxia Liu
- Department of Neurology, the Yancheng Clinical College of Xuzhou Medical University, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Xiao Zhou
- Department of Magnetic Resonance, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China
| | - Guojun He
- Department of Neurology, the Yancheng Clinical College of Xuzhou Medical University, the First People's Hospital of Yancheng, Yancheng, Jiangsu, P.R.China.
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27
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Lucas-Jiménez O, Ibarretxe-Bilbao N, Diez I, Peña J, Tijero B, Galdós M, Murueta-Goyena A, Del Pino R, Acera M, Gómez-Esteban JC, Gabilondo I, Ojeda N. Brain Degeneration in Synucleinopathies Based on Analysis of Cognition and Other Nonmotor Features: A Multimodal Imaging Study. Biomedicines 2023; 11:biomedicines11020573. [PMID: 36831109 PMCID: PMC9953265 DOI: 10.3390/biomedicines11020573] [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: 12/27/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND We aimed to characterize subtypes of synucleinopathies using a clustering approach based on cognitive and other nonmotor data and to explore structural and functional magnetic resonance imaging (MRI) brain differences between identified clusters. METHODS Sixty-two patients (n = 6 E46K-SNCA, n = 8 dementia with Lewy bodies (DLB) and n = 48 idiopathic Parkinson's disease (PD)) and 37 normal controls underwent nonmotor evaluation with extensive cognitive assessment. Hierarchical cluster analysis (HCA) was performed on patients' samples based on nonmotor variables. T1, diffusion-weighted, and resting-state functional MRI data were acquired. Whole-brain comparisons were performed. RESULTS HCA revealed two subtypes, the mild subtype (n = 29) and the severe subtype (n = 33). The mild subtype patients were slightly impaired in some nonmotor domains (fatigue, depression, olfaction, and orthostatic hypotension) with no detectable cognitive impairment; the severe subtype patients (PD patients, all DLB, and the symptomatic E46K-SNCA carriers) were severely impaired in motor and nonmotor domains with marked cognitive, visual and bradykinesia alterations. Multimodal MRI analyses suggested that the severe subtype exhibits widespread brain alterations in both structure and function, whereas the mild subtype shows relatively mild disruptions in occipital brain structure and function. CONCLUSIONS These findings support the potential value of incorporating an extensive nonmotor evaluation to characterize specific clinical patterns and brain degeneration patterns of synucleinopathies.
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Affiliation(s)
- Olaia Lucas-Jiménez
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
- Correspondence: ; Tel./Fax: +34-944-139000 (ext. 3231)
| | - Naroa Ibarretxe-Bilbao
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
| | - Ibai Diez
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114-1107, USA
| | - Javier Peña
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
| | - Beatriz Tijero
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurology, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Marta Galdós
- Ophthalmology Department, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Ane Murueta-Goyena
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurosciences, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Rocío Del Pino
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Marian Acera
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Juan Carlos Gómez-Esteban
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurology, Cruces University Hospital, 48903 Barakaldo, Spain
- Department of Neurosciences, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Iñigo Gabilondo
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurology, Cruces University Hospital, 48903 Barakaldo, Spain
- IKERBASQUE, The Basque Foundation for Science, 48009 Bilbao, Spain
| | - Natalia Ojeda
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
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Wang Q, Yu M, Yan L, Xu J, Wang Y, Zhou G, Liu W. Aberrant inter-network functional connectivity in drug-naive Parkinson's disease patients with tremor dominant and postural instability and gait difficulty. Front Hum Neurosci 2023; 17:1100431. [PMID: 36816505 PMCID: PMC9934857 DOI: 10.3389/fnhum.2023.1100431] [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: 11/16/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023] Open
Abstract
Background: Insight into neural mechanisms of tremor dominant (TD) and postural instability and gait disorder (PIGD) subtypes in Parkinson's disease (PD) is vital for understanding pathophysiological hypotheses underlying this phenotype. However, network disturbances and their correlation with motor subtypes of PD remain unclear. We aimed to investigate the alterations of intra- and inter-network functional connectivity (FC) in drug-naive PD patients with different motor subtypes. Methods: Resting-state functional magnetic resonance imaging was performed on 25 drug-naive PD patients with TD (PD-TD) and 40 drug-naive PD patients with PIGD (PD-PIGD), and 37 healthy controls (HCs) underwent. The following networks were extracted using independent component analysis: sensorimotor network (SMN), left executive control network (LECN), right executive control network, anterior salience network (aSN), posterior salience network (pSN), ventral attention network (VAN), dorsal attention network (DAN), default mode network (DMN), visual network, and auditory network (AN). We measured FC values within and between these networks. Results: There were no detectable variations in intra-network FC. PD-PIGD group demonstrated lower FC between aSN and pSN, as well as between VAN and DMN, in contrast to PD-TD group. Particularly, the FC strength between VAN and DMN was positively correlated with TD and tremor scores, and the best fitting classification models of TD and PIGD subtypes were based on the FC between aSN and pSN. Compared with HCs, both PD-TD and PD-PIGD patients displayed decreased FC between two SMN subnetworks, while PD-TD patients exhibited increased FC between the SMN subnetwork and pSN, and between LECN and VAN. Furthermore, PD-PIGD patients demonstrated decreased FC between the SMN subnetwork and AN. Conclusions: The altered FC between aSN and pSN can be an imaging marker to distinguish PD-TD from PD-PIGD. We for the first time disclosed that the PD-TD patients compensated by increasing attention resources and the PD-PIGD patients displayed reduced FC between SMN and AN. Our findings provide a basis for identification and precision treatment of PD motor subtypes.
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Affiliation(s)
- Qi Wang
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China,Department of Neurology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Miao Yu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lei Yan
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jianxia Xu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yajie Wang
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Gaiyan Zhou
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China,*Correspondence: Weiguo Liu
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Miyamoto K, Saiki S, Matsumoto H, Suzuki A, Yamashita Y, Iseki T, Ueno SI, Shiina K, Kataura T, Kamagata K, Imamichi Y, Sasazawa Y, Fujimaki M, Akamatsu W, Hattori N. Systemic Metabolic Alteration Dependent on the Thyroid-Liver Axis in Early PD. Ann Neurol 2023; 93:303-316. [PMID: 36128871 PMCID: PMC10092289 DOI: 10.1002/ana.26510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Parkinson's disease (PD) is a common neurodegenerative disease characterized by initial involvement of the olfactory bulb/amygdala or autonomic nerves followed by nigral degeneration. Although autonomic innervation strictly regulates multiorgan systems, including endocrine functions, circulation, and digestion, how dysautonomia in PD affects systemic metabolism has not been identified. In this study, we tried to estimate the pathogenic linkage of PD by nuclear medicine techniques, trans-omic analysis of blood samples, and cultured cell experiments. METHODS Thyroid mediastinum ratio of 123 I-metaiodobenzylguanidine (MIBG) scintigraphy was measured in 1,158 patients with PD. Furthermore, serum exosome miRNA transcriptome analysis and plasma metabolome analysis followed by trans-omic analysis were performed in patients with de novo PD and age-matched healthy control persons. Additionally, thyroid hormone was administered to skeletal muscle and liver derived cells to evaluate the effect of hypothyroidism for these organs. RESULTS Sympathetic denervation of thyroid correlating with its cardiac denervation was confirmed in 1,158 patients with PD by MIBG scintigraphy. Among patients with drug-naïve PD, comprehensive metabolome analysis revealed decreased levels of thyroxine and insufficient fatty acid β-oxidation, which positively correlate with one another. Likewise, both plasma metabolome data and transcriptome data of circulating exosomal miRNAs, revealed specific enrichment of the peroxisome proliferator-activated receptor (PPARα) axis. Finally, association of thyroid hormone with PPARα-dependent β-oxidation regulation was confirmed by in vitro experiments. INTERPRETATION Our findings suggest that interorgan communications between the thyroid and liver are disorganized in the early stage of PD, which would be a sensitive diagnostic biomarker for PD. ANN NEUROL 2023;93:303-316.
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Affiliation(s)
- Kengo Miyamoto
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shinji Saiki
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hirotaka Matsumoto
- School of Information and Data Sciences, Nagasaki University, Nagasaki, Japan.,Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research, Saitama, Japan
| | - Ayami Suzuki
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuri Yamashita
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Aging Biology in Health and Disease, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tatou Iseki
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shin-Ichi Ueno
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Shiina
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tetsushi Kataura
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoko Imamichi
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yukiko Sasazawa
- Research Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Motoki Fujimaki
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Wado Akamatsu
- Center for Genomic and Regenerative Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
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Lenka A, Jankovic J. How should future clinical trials be designed in the search for disease-modifying therapies for Parkinson's disease? Expert Rev Neurother 2023; 23:107-122. [PMID: 36803618 DOI: 10.1080/14737175.2023.2177535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
INTRODUCTION Although there has been substantial progress in research and innovations in symptomatic treatments, similar success has not been achieved in disease-modifying therapy (DMT) for Parkinson's disease (PD). Considering the enormous motor, psychosocial and financial burden associated with PD, safe and effective DMT is of paramount importance. AREAS COVERED One of the reasons for the lack of progress in DMT for PD is poor or inappropriate design of clinical trials. In the first part of the article, the authors focus on the plausible reasons why the previous trials have failed and in the latter part, they provide their perspectives on future DMT trials. EXPERT OPINION There are several potential reasons why previous trials have failed, including broad clinical and etiopathogenic heterogeneity of PD, poor definition and documentation of target engagement, lack of appropriate biomarkers and outcome measures, and short duration of follow-up. To address these deficiencies, future trials may consider- (i) a more customized approach to select the most suitable participants and therapeutic approaches, (ii) explore combination therapies that would target multiple pathogenetic mechanisms, and (iii) moving beyond targeting only motor symptoms to also assessing non-motor features of PD in well-designed longitudinal studies.
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Affiliation(s)
- Abhishek Lenka
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
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Sleep and wakefulness disturbances in Parkinson's disease: A meta-analysis on prevalence and clinical aspects of REM sleep behavior disorder, excessive daytime sleepiness and insomnia. Sleep Med Rev 2023; 68:101759. [PMID: 36708642 DOI: 10.1016/j.smrv.2023.101759] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/28/2022] [Accepted: 01/10/2023] [Indexed: 01/18/2023]
Abstract
Sleep disorders (SDs) are common non-motor symptoms of Parkinson's disease (PD) with wide variability in their prevalence rates. The etiology of SDs in PD is multifactorial because the degenerative processes underlying the disease and their interaction with drugs and clinical features may promote REM sleep behavior disorder (RBD), excessive daytime sleepiness (EDS) and insomnia. Therefore, we designed a meta-analytic study to provide a reliable estimate of the prevalence and associated clinical and neuropsychiatric aspects of SDs in PD. A systematic literature search was performed up to February 2022. Pooled RBD prevalence was 46%, and its occurrence was associated with older age, lower education, longer disease duration, higher levodopa equivalent daily dose (LEDD), worse motor and autonomic manifestations, poorer quality of life and autonomy, and more severe neuropsychiatric symptoms. The pooled prevalence of EDS was 35% and was associated with older age, longer disease duration, worse motor and autonomic symptoms, higher LEDD, reduced autonomy, and more severe neuropsychiatric symptoms. Insomnia was reported in 44% of PD patients and was related to longer disease duration, higher LEDD, and more severe depression. SDs are associated with a more severe PD clinical phenotype; further studies should explore the pathophysiological mechanisms underlying SDs and develop targeted therapeutic strategies.
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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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Boron-containing compounds on neurons: Actions and potential applications for treating neurodegenerative diseases. J Inorg Biochem 2023; 238:112027. [PMID: 36345068 DOI: 10.1016/j.jinorgbio.2022.112027] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/27/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Boron-containing compounds (BCC) exert effects on neurons. After the expanding of both the identification and synthesis of new BCC, novel effects in living systems have been reported, many of these involving neuronal action. In this review, the actions of BCC on neurons are described; the effects have been inferred by boron deprivation or addition. Also, the effects can be related to those mediated by interaction on ionic channels, G-protein coupled receptors, or other receptors exerting modification on neuronal behavior. Additionally, BCC have exhibited effects by the modulation of inflammation or oxidative processes. BCC are expanding as drugs. Deprivation of boron sources from the diet shows the role of some natural BCC. However, the observations of several new synthesized compounds suggest their ability to act with attractive potency, efficacy, and long-term action on neuronal receptors or processes related with the origin and evolution of neurodegenerative processes. The details of BCC-target interactions are currently being elucidated in progress, as those observed from BCC-protein crystal complexes. Taking all of the above into account, the expansion is presumably near to having studies on the application of BCC as drugs on specific targets for treating neurodegenerative diseases.
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34
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Dadu A, Satone V, Kaur R, Hashemi SH, Leonard H, Iwaki H, Makarious MB, Billingsley KJ, Bandres‐Ciga S, Sargent LJ, Noyce AJ, Daneshmand A, Blauwendraat C, Marek K, Scholz SW, Singleton AB, Nalls MA, Campbell RH, Faghri F. Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohorts. NPJ Parkinsons Dis 2022; 8:172. [PMID: 36526647 PMCID: PMC9758217 DOI: 10.1038/s41531-022-00439-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
The clinical manifestations of Parkinson's disease (PD) are characterized by heterogeneity in age at onset, disease duration, rate of progression, and the constellation of motor versus non-motor features. There is an unmet need for the characterization of distinct disease subtypes as well as improved, individualized predictions of the disease course. We used unsupervised and supervised machine learning methods on comprehensive, longitudinal clinical data from the Parkinson's Disease Progression Marker Initiative (n = 294 cases) to identify patient subtypes and to predict disease progression. The resulting models were validated in an independent, clinically well-characterized cohort from the Parkinson's Disease Biomarker Program (n = 263 cases). Our analysis distinguished three distinct disease subtypes with highly predictable progression rates, corresponding to slow, moderate, and fast disease progression. We achieved highly accurate projections of disease progression 5 years after initial diagnosis with an average area under the curve (AUC) of 0.92 (95% CI: 0.95 ± 0.01) for the slower progressing group (PDvec1), 0.87 ± 0.03 for moderate progressors, and 0.95 ± 0.02 for the fast-progressing group (PDvec3). We identified serum neurofilament light as a significant indicator of fast disease progression among other key biomarkers of interest. We replicated these findings in an independent cohort, released the analytical code, and developed models in an open science manner. Our data-driven study provides insights to deconstruct PD heterogeneity. This approach could have immediate implications for clinical trials by improving the detection of significant clinical outcomes. We anticipate that machine learning models will improve patient counseling, clinical trial design, and ultimately individualized patient care.
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Affiliation(s)
- Anant Dadu
- grid.35403.310000 0004 1936 9991Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820 USA ,grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.511118.dData Tecnica International, Washington, DC 20812 USA
| | - Vipul Satone
- grid.35403.310000 0004 1936 9991Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61820 USA
| | - Rachneet Kaur
- grid.35403.310000 0004 1936 9991Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61820 USA
| | - Sayed Hadi Hashemi
- grid.35403.310000 0004 1936 9991Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820 USA
| | - Hampton Leonard
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.511118.dData Tecnica International, Washington, DC 20812 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Hirotaka Iwaki
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.511118.dData Tecnica International, Washington, DC 20812 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Mary B. Makarious
- grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA ,grid.83440.3b0000000121901201Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK ,grid.83440.3b0000000121901201UCL Movement Disorders Centre, University College London, London, UK
| | - Kimberley J. Billingsley
- grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Sara Bandres‐Ciga
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Lana J. Sargent
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.224260.00000 0004 0458 8737School of Nursing, Virginia Commonwealth University, Richmond, VA 23298 USA
| | - Alastair J. Noyce
- grid.83440.3b0000000121901201UCL Movement Disorders Centre, University College London, London, UK ,grid.416041.60000 0001 0738 5466Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London and Department of Neurology, Royal London Hospital, London, UK
| | - Ali Daneshmand
- grid.189504.10000 0004 1936 7558Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA 02118 USA
| | - Cornelis Blauwendraat
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Ken Marek
- grid.452597.8InviCRO LLC, Boston, MA USA ,grid.452597.8Molecular Neuroimaging, A Division of InviCRO, New Haven, CT USA
| | - Sonja W. Scholz
- grid.416870.c0000 0001 2177 357XNeurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD USA ,grid.21107.350000 0001 2171 9311Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Andrew B. Singleton
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Mike A. Nalls
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.511118.dData Tecnica International, Washington, DC 20812 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Roy H. Campbell
- grid.35403.310000 0004 1936 9991Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820 USA
| | - Faraz Faghri
- grid.94365.3d0000 0001 2297 5165Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892 USA ,grid.511118.dData Tecnica International, Washington, DC 20812 USA ,grid.94365.3d0000 0001 2297 5165Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892 USA
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Novel insights regarding the measurement properties of the SCOPA-AUT. BMC Neurol 2022; 22:478. [PMID: 36514012 PMCID: PMC9746092 DOI: 10.1186/s12883-022-03008-2] [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: 10/19/2021] [Accepted: 12/03/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The Scale for Outcomes in Parkinson's disease for Autonomic symptoms (SCOPA-AUT) is an instrument intended to assess overall and domain-specific autonomic symptom burden. In this study the SCOPA-AUT is translated into Swedish and its measurement properties are assessed. METHODS Following translation the SCOPA-AUT was field-tested regarding comprehensibility, relevance, and respondent burden (n = 20). It was then tested according to Rasch measurement theory using data from 242 persons with PD, of whom 162 completed SCOPA-AUT at baseline and 1-2 years later, giving a total of 404 data points for analysis. RESULTS The Swedish SCOPA-AUT took a mean of 6 min to complete and was considered easy to use and relevant by respondents. SCOPA-AUT exhibited acceptable Rasch model fit, represents more severe levels of dysautonomia than that reported by the sample, and response categories were not working as expected for 17 items. Local dependency was identified and followed a pattern resembling the suggested subscales. Accounting for the subscale structure eliminated local dependency and reduced the initially inflated reliability from 0.81 to 0.68. CONCLUSIONS The SCOPA-AUT is useful as a clinical check-list but requires further developmental work in order to meet more rigorous standards as an outcome measurement instrument.
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Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease. NPJ Parkinsons Dis 2022; 8:95. [PMID: 35918350 PMCID: PMC9345874 DOI: 10.1038/s41531-022-00362-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/13/2022] [Indexed: 11/08/2022] Open
Abstract
Unexplained weight changes that occur in Parkinson’s disease (PD), are often neglected and remain a poorly understood non-motor feature in patients with PD. A specific ‘Park-weight’ phenotype with low body weight has been described, and our aim was to evaluate the clinical and prognostic trajectories and biomarkers of weight variability in PD. We evaluated body weight-related biomarkers in 405 de novo PD patients and 187 healthy controls (HC) over a 5-year follow-up period from the PPMI database. Body-weight variability was defined as intra-individual variability in body weight between visits. PD patients were categorized as weight losers, gainers, or patients with stable weight. The differential progression of motor and non-motor clinical variables between groups was explored using linear mixed-effects models. Finally, we estimated longitudinal changes in weight as a function of baseline and longitudinal striatal presynaptic dopaminergic transporter imaging. PD patients presented a greater weight variability compared to HC (p = 0.003). Patients who developed weight loss had lower CSF amyloid-beta 1–42 (p = 0.009) at baseline. In addition, patients with weight loss showed a faster cognitive decline (p = 0.001), whereas patients with weight gain showed a slower motor progression (p = 0.001), compared to patients with stable weight. Baseline right striatal denervation was a predictor of weight variability in both PD patients and HC (p < 0.001). Similarly, weight variability in PD patients was associated with the progression of right striatal denervation (p < 0.001). Weight variability and specifically weight loss are more frequent in PD compared to HC, and are associated with specific motor, non-motor and cognitive progression patterns. A greater CSF amyloid burden was present at baseline in patients with subsequent weight loss. Presynaptic dopaminergic imaging in the right striatum may serve as a predictor of future weight changes in PD and HC.
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How Well Do Rodent Models of Parkinson's Disease Recapitulate Early Non-Motor Phenotypes? A Systematic Review. Biomedicines 2022; 10:biomedicines10123026. [PMID: 36551782 PMCID: PMC9775565 DOI: 10.3390/biomedicines10123026] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
The prodromal phase of Parkinson's disease (PD) is characterised by many non-motor symptoms, and these have recently been posited to be predictive of later diagnosis. Genetic rodent models can develop non-motor phenotypes, providing tools to identify mechanisms underlying the early development of PD. However, it is not yet clear how reproducible non-motor phenotypes are amongst genetic PD rodent models, whether phenotypes are age-dependent, and the translatability of these phenotypes has yet to be explored. A systematic literature search was conducted on studies using genetic PD rodent models to investigate non-motor phenotypes; cognition, anxiety/depressive-like behaviour, gastrointestinal (GI) function, olfaction, circadian rhythm, cardiovascular and urinary function. In total, 51 genetic models of PD across 150 studies were identified. We found outcomes of most phenotypes were inconclusive due to inadequate studies, assessment at different ages, or variation in experimental and environmental factors. GI dysfunction was the most reproducible phenotype across all genetic rodent models. The mouse model harbouring mutant A53T, and the wild-type hα-syn overexpression (OE) model recapitulated the majority of phenotypes, albeit did not reliably produce concurrent motor deficits and nigral cell loss. Furthermore, animal models displayed different phenotypic profiles, reflecting the distinct genetic risk factors and heterogeneity of disease mechanisms. Currently, the inconsistent phenotypes within rodent models pose a challenge in the translatability and usefulness for further biomechanistic investigations. This review highlights opportunities to improve phenotype reproducibility with an emphasis on phenotypic assay choice and robust experimental design.
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Vijayanathan Y, Hamzah NM, Lim SM, Lim FT, Tan MP, Majeed ABA, Ramasamy K. Newly regenerated dopaminergic neurons in 6-OHDA-lesioned adult zebrafish brain proliferate in the Olfactory bulb and telencephalon, but migrate to, differentiate and mature in the diencephalon. Brain Res Bull 2022; 190:218-233. [PMID: 36228872 DOI: 10.1016/j.brainresbull.2022.10.001] [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: 04/10/2022] [Revised: 09/20/2022] [Accepted: 10/04/2022] [Indexed: 12/24/2022]
Abstract
In order to understand the biological processes underlying dopaminergic neurons (DpN) regeneration in a 6-hydroxydopamine(6-OHDA)-induced adult zebrafish-based Parkinson's disease model, this study investigated the specific phases of neuroregeneration in a time-based manner. Bromodeoxyuridine (BrdU) was administered 24 h before the harvest of brain tissues at day three, five, seven, nine, 12 and 14 postlesion. Potential migration of proliferative cells was tracked over 14 days postlesion through double-pulse tracking [BrdU and 5-ethynyl-2'-deoxyuridine (EdU)] of cells and immunohistostaining of astrocytes [glial fibrillary acidic protein (GFAP)]. Gene expression of foxa2 and nurr1 (nr4a2a) at day three, nine, 14, 18, 22 and 30 postlesion was quantified using qPCR. Protein expression of foxa2 at day three, seven, 14 and 22 postlesion was validated using the western blot technique. Double labelling [EdU and tyrosine hydroxylase (TH)] of proliferative cells was performed to ascertain their fate after the neuroregeneration processes. It was found that whilst cell proliferation remained unchanged in the area of substantial DpN loss, the ventral diencephalon (vDn), there was a transient increase of cell proliferation in the olfactory bulb (OB) and telencephalon (Tel) seven days postlesion. BrdU-immunoreactive (ir)/ EdU-ir cells and activated astrocytes were later found to be significantly increased in the vDn and its nearby area (Tel) 14 days postlesion. There was a significant but transient downregulation of foxa2 at day three and nine postlesion, and nr4a2a at day three, nine and 14 postlesion. The expression of both genes remained unchanged in the OB and Tel. There was a transient downregulation of foxa2 protein expression at day three and seven postlesion. The significant increase of EdU-ir/ TH-ir cells in the vDn 30 days postlesion indicates maturation of proliferative cells (formed between day five-seven postlesion) into DpN. The present findings warrant future investigation of critical factors that govern the distinctive phases of DpN regeneration.
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Affiliation(s)
- Yuganthini Vijayanathan
- Collaborative Drug Discovery Research (CDDR) Group and Brain Degeneration and Therapeutics Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Cawangan Selangor, Kampus Puncak Alam, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia; Department of Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Naemah Md Hamzah
- Collaborative Drug Discovery Research (CDDR) Group and Brain Degeneration and Therapeutics Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Cawangan Selangor, Kampus Puncak Alam, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia
| | - Siong Meng Lim
- Collaborative Drug Discovery Research (CDDR) Group and Brain Degeneration and Therapeutics Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Cawangan Selangor, Kampus Puncak Alam, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia
| | - Fei Ting Lim
- Collaborative Drug Discovery Research (CDDR) Group and Brain Degeneration and Therapeutics Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Cawangan Selangor, Kampus Puncak Alam, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia
| | - Maw Pin Tan
- Department of Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Abu Bakar Abdul Majeed
- Collaborative Drug Discovery Research (CDDR) Group and Brain Degeneration and Therapeutics Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Cawangan Selangor, Kampus Puncak Alam, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia.
| | - Kalavathy Ramasamy
- Collaborative Drug Discovery Research (CDDR) Group and Brain Degeneration and Therapeutics Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Cawangan Selangor, Kampus Puncak Alam, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia.
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Komagamine T, Suzuki K, Kokubun N, Komagamine J, Kawasaki A, Funakoshi K, Hirata K. Sleep-related hallucinations in patients with Parkinson's disease. PLoS One 2022; 17:e0276736. [PMID: 36282859 PMCID: PMC9595548 DOI: 10.1371/journal.pone.0276736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/12/2022] [Indexed: 01/24/2023] Open
Abstract
Given that sleep-wake cycle dysfunction can cause hallucinations in Parkinson's disease patients, sleep-related hallucinations may be a different subtype from hallucinations that occur only during full wakefulness. However, few studies that distinguish the onset situations of hallucinations related to sleep from those that occur in full wakefulness have been conducted to investigate hallucinations in Parkinson's disease patients. Therefore, we conducted a multicenter observational study to investigate the prevalence of and factors associated with sleep-related hallucinations in patients with Parkinson's disease. Information on hallucinations was collected by using a questionnaire and face-to-face interviews. Of 100 consecutive patients with Parkinson's disease, 29 (29%) reported sleep-related hallucinations, and 16 (16%) reported hallucinations only in the full wakefulness. A longer duration of Parkinson's disease treatment (OR 1.35, 95% CI 1.07 to 1.72), higher Beck Depression Inventory-II scores (OR 1.07; 95% CI 1.01 to 1.14), and higher rapid eye movement sleep behavior disorder scores (OR 5.60; 95% CI 1.54 to 20.38) were independent factors associated with the presence of sleep-related hallucinations in a multivariable analysis. Sleep-related hallucinations, but not daytime hallucinations, were associated with probable rapid eye movement sleep behavior disorder. Phenomenological discrimination between sleep-related hallucinations and daytime hallucinations is important for elucidating the full pathology in Parkinson's disease and the mechanisms underlying hallucinations.
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Affiliation(s)
- Tomoko Komagamine
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
- Department of Internal Medicine, National Hospital Organization Tochigi Medical Center, Tochigi, Japan
- * E-mail:
| | - Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Norito Kokubun
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Junpei Komagamine
- Department of Internal Medicine, National Hospital Organization Tochigi Medical Center, Tochigi, Japan
| | - Akiko Kawasaki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Kei Funakoshi
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Koichi Hirata
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
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Lageman SK, Donovan EK, Villaseñor T, Perrin PB. Exploration of Parkinson's Disease Symptomatology Subtypes From the Caregiver Perspective: Implications for Caregiver Burden, Depression, and Anxiety. J Geriatr Psychiatry Neurol 2022; 35:663-670. [PMID: 34587822 DOI: 10.1177/08919887211049146] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND While research has demonstrated associations between Parkinson's disease (PD) severity and caregiver burden and emotional functioning, less is known about the associations between specific PD symptom patterns and caregiver functioning. OBJECTIVE The purpose of the current study was to explore symptomatology subtypes in PD from the caregiver perspective in the U.S. and Mexico and to determine whether caregiver burden, depression, or anxiety differed by PD symptomatology subtype. METHODS Two hundred fifty-three caregivers (M age = 59.9) completed Parts I and II of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS), the Zarit Burden Interview, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7 scales. RESULTS Cluster analysis using domains from the MDS-UPDRS revealed 5 symptomatology subtypes: pain/motor predominant, low symptoms, severe diffuse symptoms, moderate restricted symptoms with speech/oral predominant, and mood predominant. Caregiver burden was greatest for caregivers of individuals in the severe diffuse symptom and moderate restricted symptoms with speech/oral predominant clusters. High caregiver depression and caregiver anxiety were observed in all clusters other than the low symptoms cluster. There were no site by cluster interactions, suggesting that symptom patterns contribute to caregiver functioning in similar ways in the U.S. and Mexico. CONCLUSIONS This data-driven analysis revealed 5 symptomatology subtypes of PD from caregivers' perspectives and highlighted the need for treatments and interventions based on predominant PD symptom expression. Importance of caregiver support across various symptomatology expressions, and particularly on specialist treatment for predominant speech/oral difficulties was recommended.
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Affiliation(s)
- Sarah K Lageman
- Department of Neurology, Parkinson's and Movement Disorders Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Emily K Donovan
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Paul B Perrin
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA.,Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USA
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Dou K, Ma J, Zhang X, Shi W, Tao M, Xie A. Multi-predictor modeling for predicting early Parkinson’s disease and non-motor symptoms progression. Front Aging Neurosci 2022; 14:977985. [PMID: 36092799 PMCID: PMC9459236 DOI: 10.3389/fnagi.2022.977985] [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: 06/25/2022] [Accepted: 08/10/2022] [Indexed: 11/29/2022] Open
Abstract
Background Identifying individuals with high-risk Parkinson’s disease (PD) at earlier stages is an urgent priority to delay disease onset and progression. In the present study, we aimed to develop and validate clinical risk models using non-motor predictors to distinguish between early PD and healthy individuals. In addition, we constructed prognostic models for predicting the progression of non-motor symptoms [cognitive impairment, Rapid-eye-movement sleep Behavior Disorder (RBD), and depression] in de novo PD patients at 5 years of follow-up. Methods We retrieved the data from the Parkinson’s Progression Markers Initiative (PPMI) database. After a backward variable selection approach to identify predictors, logistic regression analyses were applied for diagnosis model construction, and cox proportional-hazards models were used to predict non-motor symptom progression. The predictive models were internally validated by correcting measures of predictive performance for “optimism” or overfitting with the bootstrap resampling approach. Results For constructing diagnostic models, the final model reached a high accuracy with an area under the curve (AUC) of 0.93 (95% CI: 0.91–0.96), which included eight variables (age, gender, family history, University of Pennsylvania Smell Inventory Test score, Montreal Cognitive Assessment score, RBD Screening Questionnaire score, levels of cerebrospinal fluid α-synuclein, and SNCA rs356181 polymorphism). For the construction of prognostic models, our results showed that the AUC of the three prognostic models improved slightly with increasing follow-up time. The overall AUCs fluctuated around 0.70. The model validation established good discrimination and calibration for predicting PD onset and progression of non-motor symptoms. Conclusion The findings of our study facilitate predicting the individual risk at an early stage based on the predictors derived from these models. These predictive models provide relatively reliable information to prevent PD onset and progression. However, future validation analysis is still needed to clarify these findings and provide more insight into the predictive models over more extended periods of disease progression in more diverse samples.
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A review on pathology, mechanism, and therapy for cerebellum and tremor in Parkinson's disease. NPJ Parkinsons Dis 2022; 8:82. [PMID: 35750692 PMCID: PMC9232614 DOI: 10.1038/s41531-022-00347-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 05/30/2022] [Indexed: 12/16/2022] Open
Abstract
Tremor is one of the core symptoms of Parkinson’s disease (PD), but its mechanism is poorly understood. The cerebellum is a growing focus in PD-related researches and is reported to play an important role in tremor in PD. The cerebellum may participate in the modulation of tremor amplitude via cerebello-thalamo-cortical circuits. The cerebellar excitatory projections to the ventral intermediate nucleus of the thalamus may be enhanced due to PD-related changes, including dopaminergic/non-dopaminergic system abnormality, white matter damage, and deep nuclei impairment, which may contribute to dysregulation and resistance to levodopa of tremor. This review summarized the pathological, structural, and functional changes of the cerebellum in PD and discussed the role of the cerebellum in PD-related tremor, aiming to provide an overview of the cerebellum-related mechanism of tremor in PD.
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Chen J, Jiang X, Wu J, Wu H, Zhou C, Guo T, Bai X, Liu X, Wen J, Cao Z, Gu L, Yang W, Pu J, Guan X, Xu X, Zhang B, Zhang M. Gray and white matter alterations in different predominant side and type of motor symptom in Parkinson's disease. CNS Neurosci Ther 2022; 28:1372-1379. [PMID: 35673762 PMCID: PMC9344082 DOI: 10.1111/cns.13877] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/12/2022] [Accepted: 05/20/2022] [Indexed: 11/29/2022] Open
Abstract
Background Parkinson's disease (PD) is highly heterogeneous reflected by different affected side of body and type of motor symptom. We aim to explore clinical characteristics and underlying brain structure alterations in PD with different predominant sides and motor types. Methods We recruited 161 PD patients and 50 healthy controls (HC). Patients were classified into four subtypes according to their predominant side and motor type: left akinetic/rigid‐dominant (LAR), left tremor‐dominant (LTD), right akinetic/rigid‐dominant (RAR), and right tremor‐dominant (RTD). All participants assessed motor and cognitive performances, then underwent T1‐weighted and diffusion tensor imaging scanning. A general linear model was used to compare neuroimaging parameters among five groups. Results Among four PD subtypes, patients of LAR subtype experienced the worst motor impairment, and only this subtype showed worse cognitive performance compared with HC. Compared with HC and other subtypes, LAR subtype showed a significant reduction in cortical thickness of the right caudal‐anterior‐cingulate gyrus and fractional anisotropy of the right cingulum bundle. Conclusions We demonstrated that LAR subtype had the worst clinical performance, which the severer damage in the right cingulate region might be the underlying mechanism. This study underscores the importance of classifying PD subtypes based on both the side and type of motor symptom for clinical intervention and research to optimize behavioral outcomes in the future.
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Affiliation(s)
- Jingwen Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Xianchen Jiang
- Quzhou Center for Disease Control and Prevention, Quzhou, China
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Haoting Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Xueqin Bai
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Zhengye Cao
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Luyan Gu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Wenyi Yang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Jiali Pu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University of Medicine, Hangzhou, China
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Hampsey E, Meszaros M, Skirrow C, Strawbridge R, Taylor RH, Chok L, Aarsland D, Al-Chalabi A, Chaudhuri R, Weston J, Fristed E, Podlewska A, Awogbemila O, Young AH. Protocol for Rhapsody: a longitudinal observational study examining the feasibility of speech phenotyping for remote assessment of neurodegenerative and psychiatric disorders. BMJ Open 2022; 12:e061193. [PMID: 35667724 PMCID: PMC9171270 DOI: 10.1136/bmjopen-2022-061193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Neurodegenerative and psychiatric disorders (NPDs) confer a huge health burden, which is set to increase as populations age. New, remotely delivered diagnostic assessments that can detect early stage NPDs by profiling speech could enable earlier intervention and fewer missed diagnoses. The feasibility of collecting speech data remotely in those with NPDs should be established. METHODS AND ANALYSIS The present study will assess the feasibility of obtaining speech data, collected remotely using a smartphone app, from individuals across three NPD cohorts: neurodegenerative cognitive diseases (n=50), other neurodegenerative diseases (n=50) and affective disorders (n=50), in addition to matched controls (n=75). Participants will complete audio-recorded speech tasks and both general and cohort-specific symptom scales. The battery of speech tasks will serve several purposes, such as measuring various elements of executive control (eg, attention and short-term memory), as well as measures of voice quality. Participants will then remotely self-administer speech tasks and follow-up symptom scales over a 4-week period. The primary objective is to assess the feasibility of remote collection of continuous narrative speech across a wide range of NPDs using self-administered speech tasks. Additionally, the study evaluates if acoustic and linguistic patterns can predict diagnostic group, as measured by the sensitivity, specificity, Cohen's kappa and area under the receiver operating characteristic curve of the binary classifiers distinguishing each diagnostic group from each other. Acoustic features analysed include mel-frequency cepstrum coefficients, formant frequencies, intensity and loudness, whereas text-based features such as number of words, noun and pronoun rate and idea density will also be used. ETHICS AND DISSEMINATION The study received ethical approval from the Health Research Authority and Health and Care Research Wales (REC reference: 21/PR/0070). Results will be disseminated through open access publication in academic journals, relevant conferences and other publicly accessible channels. Results will be made available to participants on request. TRIAL REGISTRATION NUMBER NCT04939818.
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Affiliation(s)
- Elliot Hampsey
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | | | | | - Rebecca Strawbridge
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Rosie H Taylor
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | | | - Dag Aarsland
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Ammar Al-Chalabi
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Ray Chaudhuri
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | | | | | - Aleksandra Podlewska
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Olabisi Awogbemila
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Allan H Young
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
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Wang XL, Feng ST, Wang YT, Chen B, Wang ZZ, Chen NH, Zhang Y. Comparative efficacy and acceptability of drug treatments for Parkinson's disease with depression: A systematic review with network meta-analysis. Eur J Pharmacol 2022; 927:175070. [PMID: 35659968 DOI: 10.1016/j.ejphar.2022.175070] [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] [Received: 11/26/2021] [Revised: 05/15/2022] [Accepted: 05/24/2022] [Indexed: 11/17/2022]
Abstract
Depressive symptom is the prevailing non-motor symptom of Parkinson's disease (PD). Drug treatments for depressed PD (dPD) can mitigate the symptoms of patients. However, the results are discordant and need further analysis. This systematic review with network meta-analysis aims to evaluate the drug treatments for dPD. We included double-blind, randomized controlled trials to compare antidepressants with placebo or other antidepressants in dPD. We performed traditional pairwise analysis and network meta-analysis concerning the efficacy, acceptability, depression score, and adverse effect. The surface under the cumulative ranking curve was to assess the ranking probabilities of the enrolled agents. We enrolled 62 studies, including 12,353 subjects, to analyze these estimates. For the traditional pairwise meta-analysis, dopamine agonist (DOP; OR = 2.20 [95% CI, 1.46 to 3.33]) and selective serotonin reuptake inhibitor (SSRI; OR = 2.30 [95% CI, 1.15 to 4.60]) were observed to improve the efficacy compared with placebo. For network meta-analysis, DOP was observed to improve the efficacy compared with placebo (OR = -0.84 [95% CI, -1.20 to -0.48]). Both direct and indirect evidence showed that several treatments, e.g., DOP, monoamine-oxidase inhibitor, serotonin-norepinephrine reuptake inhibitors, SSRI, and tricyclic antidepressants, significantly improved depressive symptoms. DOP and SSRI had good efficacy and improved symptoms considerably in dPD, but the adverse effect of these agents was needed to follow closely.
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Affiliation(s)
- Xiao-Le Wang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Si-Tong Feng
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ya-Ting Wang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Bin Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zhen-Zhen Wang
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica & Neuroscience Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nai-Hong Chen
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica & Neuroscience Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yi Zhang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
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Shakya S, Prevett J, Hu X, Xiao R. Characterization of Parkinson's Disease Subtypes and Related Attributes. Front Neurol 2022; 13:810038. [PMID: 35677337 PMCID: PMC9167933 DOI: 10.3389/fneur.2022.810038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 05/04/2022] [Indexed: 11/13/2022] Open
Abstract
Parkinson's disease is a progressive neurodegenerative disease with complex, heterogeneous motor and non-motor symptoms. The current evidence shows that there is still a marked heterogeneity in the subtyping of Parkinson's disease using both clinical and data-driven approaches. Another challenge posed in PD subtyping is the reproducibility of previously identified PD subtypes. These issues require additional results to confirm previous findings and help reconcile discrepancies, as well as establish a standardized application of cluster analysis to facilitate comparison and reproducibility of identified PD subtypes. Our study aimed to address this gap by investigating subtypes of Parkinson's disease using comprehensive clinical (motor and non-motor features) data retrieved from 408 de novo Parkinson's disease patients with the complete clinical data in the Parkinson's Progressive Marker Initiative database. A standardized k-means cluster analysis approach was developed by taking into consideration of common practice and recommendations from previous studies. All data analysis codes were made available online to promote data comparison and validation of reproducibility across research groups. We identified two distinct PD subtypes, termed the severe motor-non-motor subtype (SMNS) and the mild motor- non-motor subtype (MMNS). SMNS experienced symptom onset at an older age and manifested more intense motor and non-motor symptoms than MMNS, who experienced symptom onset at a younger age and manifested milder forms of Parkinson's symptoms. The SPECT imaging makers supported clinical findings such that the severe motor-non-motor subtype showed lower binding values than the mild motor- non-motor subtype, indicating more significant neural damage at the nigral pathway. In addition, SMNS and MMNS show distinct motor (ANCOVA test: F = 47.35, p< 0.001) and cognitive functioning (F = 33.93, p< 0.001) progression trends. Such contrast between SMNS and MMNS in both motor and cognitive functioning can be consistently observed up to 3 years following the baseline visit, demonstrating the potential prognostic value of identified PD subtypes.
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Affiliation(s)
| | - Julia Prevett
- School of Nursing, Duke University, Durham, NC, United States
| | - Xiao Hu
- School of Nursing, Emory University, Atlanta, GA, United States
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States
- Department of Computer Science, College of Arts and Sciences, Emory University, Atlanta, GA, United States
| | - Ran Xiao
- School of Nursing, Duke University, Durham, NC, United States
- *Correspondence: Ran Xiao
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Lau J, Regis C, Burke C, Kaleda M, McKenna R, Muratori LM. Immersive Technology for Cognitive-Motor Training in Parkinson’s Disease. Front Hum Neurosci 2022; 16:863930. [PMID: 35615742 PMCID: PMC9124833 DOI: 10.3389/fnhum.2022.863930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/29/2022] [Indexed: 12/02/2022] Open
Abstract
Background: Parkinson’s disease (PD) is a neurodegenerative disease in which the progressive loss of dopaminergic neurons (DA) leads to initially sporadic and eventually widespread damage of the nervous system resulting in significant musculoskeletal and cognitive deterioration. Loss of motor function alongside increasing cognitive impairment is part of the natural disease progression. Gait is often considered an automatic activity; however, walking is the result of a delicate balance of multiple systems which maintain the body’s center of mass over an ever-changing base of support. It is a complex motor behavior that requires components of attention and memory to prevent falls and injury. In addition, evidence points to the critical role of salient visual information to gait adaptability. There is a growing understanding that treatment for PD needs to address movement as it occurs naturally and walking needs to be practiced in more complex environments than traditional therapy has provided.
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Affiliation(s)
- Justin Lau
- College of Arts and Sciences, Stony Brook University, Stony Brook, NY, United States
| | - Claude Regis
- College of Arts and Sciences, Stony Brook University, Stony Brook, NY, United States
| | - Christina Burke
- Department of Physical Therapy, School of Health Professions, Stony Brook University, Stony Brook, NY, United States
| | - MaryJo Kaleda
- Department of Physical Therapy, School of Health Professions, Stony Brook University, Stony Brook, NY, United States
| | - Raymond McKenna
- Department of Physical Therapy, School of Health Professions, Stony Brook University, Stony Brook, NY, United States
| | - Lisa M. Muratori
- Department of Physical Therapy, School of Health Professions, Stony Brook University, Stony Brook, NY, United States
- *Correspondence: Lisa M. Muratori,
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Ebina J, Ebihara S, Kano O. Similarities, differences and overlaps between frailty and Parkinson's disease. Geriatr Gerontol Int 2022; 22:259-270. [PMID: 35243739 DOI: 10.1111/ggi.14362] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 12/07/2021] [Accepted: 01/27/2022] [Indexed: 12/12/2022]
Abstract
Parkinson's disease is a neurodegenerative disorder clinically characterized by bradykinesia, rest tremor, rigidity, and postural and gait disturbances, which are frequently observed in older people. It also shows non-motor symptoms, such as depression, anxiety, cognitive impairment and dementia. The number of patients is gradually increasing worldwide. Aging is a risk factor for the onset of Parkinson's disease, and various physiological effects of aging influence its progression. Frailty is a geriatric syndrome in which the reversible and vulnerable status between robustness and disability is affected by various physiological stressors with aging. Frailty consists of physical, psychological and social aspects. Furthermore, sarcopenia, a syndrome characterized by the loss of muscle mass, strength and function, is also significantly associated with frailty. To maintain the quality of life of older people, frailty, including sarcopenia, should be quickly and appropriately managed. Polypharmacy is an important factor causing the progression of frailty in geriatric syndrome. Although Parkinson's disease and frailty have similar symptoms, and are considered to affect each other, the clinical features and mechanisms of both largely remain unclear. Nevertheless, little literature on the relationship between frailty and Parkinson's disease is currently available. This narrative review aims to clarify the relationships between Parkinson's disease and frailty, not only on the physical, but also on the mental, cognitive, and social aspects and issues regarding polypharmacy in Parkinson's disease explored by previous studies. Geriatr Gerontol Int 2022; 22: 259-270.
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Affiliation(s)
- Junya Ebina
- Department of Neurology, Toho University Faculty of Medicine, Tokyo, Japan
| | - Satoru Ebihara
- Department of Rehabilitation Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Osamu Kano
- Department of Neurology, Toho University Faculty of Medicine, Tokyo, Japan
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El-Kattan MM, Rashed LA, Shazly SR, Ismail RS. Relation of serum level of tumor necrosis factor-alpha to cognitive functions in patients with Parkinson’s disease. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2022. [DOI: 10.1186/s41983-022-00460-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Inflammation is suggested to play a role in the development of non-motor Parkinson’s disease (PD) symptoms. We aimed to investigate the association between serum tumor necrosis factor-alpha (TNF-α) levels and cognition in PD patients. Thirty patients with PD and 30 healthy controls were included. Evaluation and staging of PD were done using Unified PD Rating Scale. Cognitive assessment was done using Addenbrooke’s Cognitive Examination (ACE-III) and trail making B tests. Measurement of serum levels of TNF-α was done.
Results
Patients had significantly worser cognitive scores than controls except for language subclass of ACE score. Mean serum TNF-α level was significantly greater in PD patients as compared to controls. TNF-α serum level was significantly negatively correlated with ACE visuospatial function. Sensitivity and specificity of TNF-α to detect cognitive dysfunction in PD using ACE III and trail making B tests were (73.1, 75%), (57.1, 56.2%), respectively, whereas sensitivity and specificity of TNF-α to detect severity of PD using H&Y staging in PD were 50%.
Conclusion
Patients with PD frequently have cognitive impairment. Elevated serum TNF-α levels in patients with PD, and association of this cytokine to visuospatial impairment, implicate this pro-inflammatory cytokine in the neurobiology of cognitive impairment in PD.
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