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Srivastava A, Wang Q, Orrù CD, Fernandez M, Compta Y, Ghetti B, Zanusso G, Zou WQ, Caughey B, Beauchemin CAA. Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. PLoS Pathog 2024; 20:e1012554. [PMID: 39302978 DOI: 10.1371/journal.ppat.1012554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 08/30/2024] [Indexed: 09/22/2024] Open
Abstract
Disease associated pathological aggregates of alpha-synuclein (αSynD) exhibit prion-like spreading in synucleinopathies such as Parkinson's disease (PD) and dementia with Lewy bodies (DLB). Seed amplification assays (SAAs) such as real-time quaking-induced conversion (RT-QuIC) have shown high diagnostic sensitivity and specificity for detecting proteopathic αSynD seeds in a variety of biospecimens from PD and DLB patients. However, the extent to which relative proteopathic seed concentrations are useful as indices of a patient's disease stage or prognosis remains unresolved. One feature of current SAAs that complicates attempts to correlate SAA results with patients' clinical and other laboratory findings is their quantitative imprecision, which has typically been limited to discriminating large differences (e.g. 5-10 fold) in seed concentration. We used end-point dilution (ED) RT-QuIC assays to determine αSynD seed concentrations in patient biospecimens and tested the influence of various assay variables such as serial dilution factor, replicate number and data processing methods. The use of 2-fold versus 10-fold dilution factors and 12 versus 4 replicate reactions per dilution reduced ED-RT-QuIC assay error by as much as 70%. This enhanced assay format discriminated as little as 2-fold differences in αSynD seed concentration besides detecting ~2-16-fold seed reductions caused by inactivation treatments. In some scenarios, analysis of the data using Poisson and midSIN algorithms provided more consistent and statistically significant discrimination of different seed concentrations. We applied our improved assay strategies to multiple diagnostically relevant PD and DLB antemortem patient biospecimens, including cerebrospinal fluid, skin, and brushings of the olfactory mucosa. Using ED αSyn RT-QuIC as a model SAA, we show how to markedly improve the inter-assay reproducibility and quantitative accuracy. Enhanced quantitative SAA accuracy should facilitate assessments of pathological seeding activities as biomarkers in proteinopathy diagnostics and prognostics, as well as in patient cohort selection and assessments of pharmacodynamics and target engagement in drug trials.
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Affiliation(s)
- Ankit Srivastava
- Laboratory of Neurological Infections and Immunity, Rocky Mountain Laboratories, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, Montana, United States of America
| | - Qinlu Wang
- Bioinformatics and Computational Biosciences Branch, National Institute of Allergy, and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
| | - Christina D Orrù
- Laboratory of Neurological Infections and Immunity, Rocky Mountain Laboratories, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, Montana, United States of America
| | - Manel Fernandez
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic I Universitari de Barcelona; IDIBAPS, CIBERNED (CB06/05/0018-ISCIII), ERN- RND, Institut Clínic de Neurociències (Maria de Maeztu Excellence Centre), Universitat de Barcelona. Barcelona, Catalonia, Spain
| | - Yaroslau Compta
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic I Universitari de Barcelona; IDIBAPS, CIBERNED (CB06/05/0018-ISCIII), ERN- RND, Institut Clínic de Neurociències (Maria de Maeztu Excellence Centre), Universitat de Barcelona. Barcelona, Catalonia, Spain
| | - Bernardino Ghetti
- Indiana University School of Medicine, Indianapolis, Indiana, United States of America
| | - Gianluigi Zanusso
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Wen-Quan Zou
- Departments of Pathology and Neurology, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
- Institute of Neurology, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Byron Caughey
- Laboratory of Neurological Infections and Immunity, Rocky Mountain Laboratories, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, Montana, United States of America
| | - Catherine A A Beauchemin
- Department of Physics, Toronto Metropolitan University, Toronto, Canada
- Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) at RIKEN, Wako, Japan
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Zhang Y, Wang Z, Wei H, Chen M. Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning. BMC Med Inform Decis Mak 2024; 24:159. [PMID: 38844961 PMCID: PMC11157868 DOI: 10.1186/s12911-024-02564-6] [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: 02/10/2024] [Accepted: 06/04/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Compared with the time-consuming and labor-intensive for biological validation in vitro or in vivo, the computational models can provide high-quality and purposeful candidates in an instant. Existing computational models face limitations in effectively utilizing sparse local structural information for accurate predictions in circRNA-disease associations. This study addresses this challenge with a proposed method, CDA-DGRL (Prediction of CircRNA-Disease Association based on Double-line Graph Representation Learning), which employs a deep learning framework leveraging graph networks and a dual-line representation model integrating graph node features. METHOD CDA-DGRL comprises several key steps: initially, the integration of diverse biological information to compute integrated similarities among circRNAs and diseases, leading to the construction of a heterogeneous network specific to circRNA-disease associations. Subsequently, circRNA and disease node features are derived using sparse autoencoders. Thirdly, a graph convolutional neural network is employed to capture the local graph network structure by inputting the circRNA-disease heterogeneous network alongside node features. Fourthly, the utilization of node2vec facilitates depth-first sampling of the circRNA-disease heterogeneous network to grasp the global graph network structure, addressing issues associated with sparse raw data. Finally, the fusion of local and global graph network structures is inputted into an extra trees classifier to identify potential circRNA-disease associations. RESULTS The results, obtained through a rigorous five-fold cross-validation on the circR2Disease dataset, demonstrate the superiority of CDA-DGRL with an AUC value of 0.9866 and an AUPR value of 0.9897 compared to existing state-of-the-art models. Notably, the hyper-random tree classifier employed in this model outperforms other machine learning classifiers. CONCLUSION Thus, CDA-DGRL stands as a promising methodology for reliably identifying circRNA-disease associations, offering potential avenues to alleviate the necessity for extensive traditional biological experiments. The source code and data for this study are available at https://github.com/zywait/CDA-DGRL .
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Affiliation(s)
- Yi Zhang
- School of Computer Science and Engineering, Guilin University of Technology, Guilin, 541004, China
- Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, 541004, China
| | - ZhenMei Wang
- School of Big Data, Guangxi Vocational and Technical College, Nanning, 530003, China.
| | - Hanyan Wei
- Pharmacy School, Guilin Medical University, Guilin, 541004, China
| | - Min Chen
- School of Computer Science and Technology, Hunan Institute of Technology, Hengyang, 421010, China
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Abdul‐Rahman T, Herrera‐Calderón RE, Ahluwalia A, Wireko AA, Ferreira T, Tan JK, Wolfson M, Ghosh S, Horbas V, Garg V, Perveen A, Papadakis M, Ashraf GM, Alexiou A. The potential of phosphorylated α-synuclein as a biomarker for the diagnosis and monitoring of multiple system atrophy. CNS Neurosci Ther 2024; 30:e14678. [PMID: 38572788 PMCID: PMC10993367 DOI: 10.1111/cns.14678] [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: 09/01/2023] [Revised: 02/29/2024] [Accepted: 03/03/2024] [Indexed: 04/05/2024] Open
Abstract
INTRODUCTION Multiple system atrophy (MSA) is a rapidly progressive neurodegenerative disorder characterized by the presence of glial cytoplasmic inclusions (GCIs) containing aggregated α-synuclein (α-Syn). Accurate diagnosis and monitoring of MSA present significant challenges, which can lead to potential misdiagnosis and inappropriate treatment. Biomarkers play a crucial role in improving the accuracy of MSA diagnosis, and phosphorylated α-synuclein (p-syn) has emerged as a promising biomarker for aiding in diagnosis and disease monitoring. METHODS A literature search was conducted on PubMed, Scopus, and Google Scholar using specific keywords and MeSH terms without imposing a time limit. Inclusion criteria comprised various study designs including experimental studies, case-control studies, and cohort studies published only in English, while conference abstracts and unpublished sources were excluded. RESULTS Increased levels of p-syn have been observed in various samples from MSA patients, such as red blood cells, cerebrospinal fluid, oral mucosal cells, skin, and colon biopsies, highlighting their diagnostic potential. The α-Syn RT-QuIC assay has shown sensitivity in diagnosing MSA and tracking its progression. Meta-analyses and multicenter investigations have confirmed the diagnostic value of p-syn in cerebrospinal fluid, demonstrating high specificity and sensitivity in distinguishing MSA from other neurodegenerative diseases. Moreover, combining p-syn with other biomarkers has further improved the diagnostic accuracy of MSA. CONCLUSION The p-syn stands out as a promising biomarker for MSA. It is found in oligodendrocytes and shows a correlation with disease severity and progression. However, further research and validation studies are necessary to establish p-syn as a reliable biomarker for MSA. If proven, p-syn could significantly contribute to early diagnosis, disease monitoring, and assessing treatment response.
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Affiliation(s)
| | | | | | | | - Tomas Ferreira
- Department of Clinical Neurosciences, School of Clinical MedicineUniversity of CambridgeCambridgeUK
| | | | | | - Shankhaneel Ghosh
- Institute of Medical Sciences and SUM Hospital, Siksha 'O' AnusandhanBhubaneswarIndia
| | | | - Vandana Garg
- Department of Pharmaceutical SciencesMaharshi Dayanand UniversityRohtakHaryanaIndia
| | - Asma Perveen
- Glocal School of Life SciencesGlocal UniversitySaharanpurUttar PradeshIndia
- Princess Dr. Najla Bint Saud Al‐Saud Center for Excellence Research in BiotechnologyKing Abdulaziz UniversityJeddahSaudi Arabia
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten‐HerdeckeUniversity of Witten‐HerdeckeWuppertalGermany
| | - Ghulam Md Ashraf
- Department of Medical Laboratory SciencesUniversity of Sharjah, College of Health Sciences, and Research Institute for Medical and Health SciencesSharjahUAE
| | - Athanasios Alexiou
- University Centre for Research & DevelopmentChandigarh UniversityMohaliPunjabIndia
- Department of Research & DevelopmentAthensGreece
- Department of Research & DevelopmentAFNP MedWienAustria
- Department of Science and EngineeringNovel Global Community Educational FoundationNew South WalesAustralia
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Niu X, Yin P, Guan C, Shao Q, Cui G, Zan K, Xu C. Corneal confocal microscopy may help to distinguish Multiple System Atrophy from Parkinson's disease. NPJ Parkinsons Dis 2024; 10:63. [PMID: 38493181 PMCID: PMC10944503 DOI: 10.1038/s41531-024-00680-8] [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] [Received: 11/06/2023] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Abstract
Multiple system atrophy (MSA) and Parkinson's disease (PD) have clinical overlapping symptoms, which makes differential diagnosis difficult. Our research aimed to distinguish MSA from PD using corneal confocal microscopy (CCM), a noninvasive and objective test. The study included 63 PD patients, 30 MSA patients, and 31 healthy controls (HC). When recruiting PD and MSA, questionnaires were conducted on motor and non-motor functions, such as autonomic and cognitive functions. Participants underwent CCM to quantify the corneal nerve fibers. Corneal nerve fiber density (CNFD) and corneal nerve fiber length (CNFL) values in MSA are lower than PD (MSA vs. PD: CNFD, 20.68 ± 6.70 vs. 24.64 ± 6.43 no./mm2, p < 0.05; CNFL, 12.01 ± 3.25 vs. 14.17 ± 3.52 no./mm2, p < 0.05). In MSA + PD (combined), there is a negative correlation between CNFD and the Orthostatic Grading Scale (OGS) (r = -0.284, p = 0.007). Similarly, CNFD in the only MSA group was negatively correlated with the Unified Multiple System Atrophy Rating Scale I and II (r = -0.391, p = 0.044; r = -0.382, p = 0.049). CNFD and CNFL were inversely associated with MSA (CNFD: β = -0.071; OR, 0.932; 95% CI, 0.872 ~ 0.996; p = 0.038; CNFL: β = -0.135; OR, 0.874; 95% CI, 0.768-0.994; p = 0.040). Furthermore, we found the area under the receiver operating characteristic curve (ROC) of CNFL was the largest, 72.01%. The CCM could be an objective and sensitive biomarker to distinguish MSA from PD. It visually reflects a more severe degeneration in MSA compared to PD.
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Affiliation(s)
- Xuebin Niu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Peixiao Yin
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chenyang Guan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qiuyue Shao
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Kun Zan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China.
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China.
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Yu Y, Wang J, Si L, Sun H, Liu X, Li X, Yan W. Smooth Pursuit and Reflexive Saccade in Discriminating Multiple-System Atrophy With Predominant Parkinsonism From Parkinson's Disease. J Clin Neurol 2024; 20:194-200. [PMID: 38171500 PMCID: PMC10921038 DOI: 10.3988/jcn.2022.0413] [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] [Received: 10/24/2022] [Revised: 05/17/2023] [Accepted: 06/23/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND PURPOSE Performing the differential diagnosis of Parkinson's disease (PD) and multiple-system atrophy of parkinsonian type (MSA-P) is challenging. The oculomotor performances of patients with PD and MSA-P were investigated to explore their potential role as a biomarker for this differentiation. METHODS Reflexive saccades and smooth pursuit were examined in 56 patients with PD and 34 with MSA-P in the off-medication state. RESULTS Patients with PD and MSA-P had similar oculomotor abnormalities of prolonged and hypometric reflexive saccades. The incidence rates of decreased reflexive saccadic velocity and saccadic smooth pursuit were significantly higher in MSA-P than in PD (p<0.05 for both). Multiple logistic regression analysis indicated that slowed reflexive saccades (odds ratio [OR]=8.14, 95% confidence interval [CI]=1.45-45.5) and saccadic smooth pursuit (OR=5.27, 95% CI=1.24-22.43) were significantly related to MSA-P. CONCLUSIONS The distinctive oculomotor abnormalities of saccadic smooth pursuit and slowed reflexive saccades in MSA-P may serve as useful biomarkers for discriminating MSA-P from PD.
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Affiliation(s)
- Yaqin Yu
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinyu Wang
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lihong Si
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huanxin Sun
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaolei Liu
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinyi Li
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Weihong Yan
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Ying Y, Huang X, Song G, Zhao Y, Zhao X, Shi L, Gao Z, Li A, Gao T, Lu H, Fan G. 3D-CAM: a novel context-aware feature extraction framework for neurological disease classification. Front Neurosci 2024; 18:1364338. [PMID: 38486967 PMCID: PMC10938914 DOI: 10.3389/fnins.2024.1364338] [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: 01/02/2024] [Accepted: 02/16/2024] [Indexed: 03/17/2024] Open
Abstract
In clinical practice and research, the classification and diagnosis of neurological diseases such as Parkinson's Disease (PD) and Multiple System Atrophy (MSA) have long posed a significant challenge. Currently, deep learning, as a cutting-edge technology, has demonstrated immense potential in computer-aided diagnosis of PD and MSA. However, existing methods rely heavily on manually selecting key feature slices and segmenting regions of interest. This not only increases subjectivity and complexity in the classification process but also limits the model's comprehensive analysis of global data features. To address this issue, this paper proposes a novel 3D context-aware modeling framework, named 3D-CAM. It considers 3D contextual information based on an attention mechanism. The framework, utilizing a 2D slicing-based strategy, innovatively integrates a Contextual Information Module and a Location Filtering Module. The Contextual Information Module can be applied to feature maps at any layer, effectively combining features from adjacent slices and utilizing an attention mechanism to focus on crucial features. The Location Filtering Module, on the other hand, is employed in the post-processing phase to filter significant slice segments of classification features. By employing this method in the fully automated classification of PD and MSA, an accuracy of 85.71%, a recall rate of 86.36%, and a precision of 90.48% were achieved. These results not only demonstrates potential for clinical applications, but also provides a novel perspective for medical image diagnosis, thereby offering robust support for accurate diagnosis of neurological diseases.
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Affiliation(s)
- Yuhan Ying
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
- University of Chinese Academy of Sciences, Beiing, China
| | - Xin Huang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Guoli Song
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
| | - Yiwen Zhao
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
| | - XinGang Zhao
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
| | - Lin Shi
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ziqi Gao
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
- University of Chinese Academy of Sciences, Beiing, China
| | - Andi Li
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
- University of Chinese Academy of Sciences, Beiing, China
| | - Tian Gao
- Shenyang Ligong University, Shenyang, China
| | - Hua Lu
- Department of Neurosurgery, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
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Bartošová T, Klempíř J, Hansíková H. Coenzyme Q10: A Biomarker in the Differential Diagnosis of Parkinsonian Syndromes. Antioxidants (Basel) 2023; 12:2104. [PMID: 38136223 PMCID: PMC10740444 DOI: 10.3390/antiox12122104] [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] [Received: 11/06/2023] [Revised: 12/08/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023] Open
Abstract
Multiple system atrophy (MSA) is generally a sporadic neurodegenerative disease which ranks among atypical Parkinson's syndromes. The main clinical manifestation is a combination of autonomic dysfunction and parkinsonism and/or cerebellar disability. The disease may resemble other Parkinsonian syndromes, such as Parkinson's disease (PD) or progressive supranuclear palsy (PSP), from which MSA could be hardly distinguishable during the first years of progression. Due to the lack of a reliable and easily accessible biomarker, the diagnosis is still based primarily on the clinical picture. Recently, reduced levels of coenzyme Q10 (CoQ10) were described in MSA in various tissues, including the central nervous system. The aim of our study was to verify whether the level of CoQ10 in plasma and lymphocytes could serve as an easily available diagnostic biomarker of MSA. The study reported significantly lower levels of CoQ10 in the lymphocytes of patients with MSA compared to patients with PD and controls. The reduction in CoQ10 levels in lymphocytes correlated with the increasing degree of clinical involvement of patients with MSA. CoQ10 levels in lymphocytes seem to be a potential biomarker of disease progression.
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Affiliation(s)
- Tereza Bartošová
- Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic; (T.B.); (J.K.)
| | - Jiří Klempíř
- Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic; (T.B.); (J.K.)
| | - Hana Hansíková
- Laboratory for Study of Mitochondrial Disorders, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 08 Prague, Czech Republic
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Fernandes Gomes B, Farris CM, Ma Y, Concha-Marambio L, Lebovitz R, Nellgård B, Dalla K, Constantinescu J, Constantinescu R, Gobom J, Andreasson U, Zetterberg H, Blennow K. α-Synuclein seed amplification assay as a diagnostic tool for parkinsonian disorders. Parkinsonism Relat Disord 2023; 117:105807. [PMID: 37591709 DOI: 10.1016/j.parkreldis.2023.105807] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/09/2023] [Accepted: 08/13/2023] [Indexed: 08/19/2023]
Abstract
INTRODUCTION Synucleinopathies such as Parkinson's disease (PD) and multiple system atrophy (MSA) can be challenging to diagnose due to the symptom overlap with, for example, atypical parkinsonisms like progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). Seed amplification assays (SAA), developed for the detection of α-synuclein (αSyn) aggregates in CSF, have been successful when used as a biomarker evaluation for synucleinopathies. In this study, we investigated the potential of this assay to not only detect αSyn seeds in CSF, but also discriminate between movement disorders. METHODS The αSyn-SAA was tested in a Scandinavian cohort composed of 129 CSF samples from patients with PD (n = 55), MSA (n = 27), CBD (n = 7), and PSP (n = 16), as well as healthy controls (HC, n = 24). RESULTS The αSyn seed amplification assay (αSyn-SAA) was able to correctly identify all PD samples as positive (sensitivity of 100%) while also discriminating the PD group from HC (70.8% specificity, p < 0.0001) and tauopathies [CBD (71% specificity) and PSP (75% specificity), p < 0.0001)]. The αSyn-SAA was also able to identify almost all MSA samples as positive for αSyn aggregation (sensitivity of 92.6%). In general, this assay is able to discriminate between the synucleinopathies and tauopathies analyzed herein (p < 0.0001) despite the overlapping symptoms in these diseases. CONCLUSION These findings suggest the αSyn-SAA is a useful diagnostic tool for differentiating between different parkinsonian disorders, although further optimization may be needed.
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Affiliation(s)
- Bárbara Fernandes Gomes
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
| | | | - Yihua Ma
- R&D Unit, Amprion Inc., San Diego, CA, 92121, USA
| | | | | | - Bengt Nellgård
- Department of Anesthesiology and Intensive Care, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Keti Dalla
- Department of Anesthesiology and Intensive Care, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | | | - Radu Constantinescu
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Ulf Andreasson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Asakawa T, Ogino M, Tominaga N, Ozaki N, Kubo J, Kakuda W. Effects of Rehabilitative Intervention for Augmenting Cough Function in Patients with Multiple System Atrophy. Prog Rehabil Med 2023; 8:20230035. [PMID: 37790746 PMCID: PMC10542584 DOI: 10.2490/prm.20230035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 09/21/2023] [Indexed: 10/05/2023] Open
Abstract
Objectives One of the causes of death in patients with multiple system atrophy (MSA) is aspiration pneumonia caused by cough dysfunction. This study aimed to identify an effective approach to improve coughing and to explore the establishment of criteria for the use of gastrostomy based on cough and respiratory dysfunctions. Methods Eighteen probable MSA patients participated in the study. They were categorized into air stacking and non-air stacking groups. First, we investigated how the inspiration volume changes by applying maximum insufflation capacity (MIC). Second, peak cough flow (PCF) was measured by different cough augmentation methods: 1) spontaneous coughing (SpC); 2) SpC with MIC (SpC + MIC); 3) SpC with manually assisted cough (MAC) (SpC + MAC); and 4) SpC with MIC and MAC (SpC + MIC + MAC). Among these four conditions, PCF values were compared to determine the most effective approach for cough augmentation. Receiver operating characteristic analysis was performed on percent forced vital capacity (%FVC) to determine an index for discriminating PCF below160 L/min, which indicates a high risk of suffocation, involving SpC and SpC + MIC. Results Inspiration volume increased significantly with MIC in both groups (P < 0.05), and PCF increased significantly with MIC in the air stacking group (P < 0.01). PCF could not be maintained at 160 L/min when %FVC fell below 59%, even when MIC was applied. Conclusions PCF increases with MIC in patients with MSA. It may be meaningful to consider the timing of gastrostomy introduction based on the severity of cough and respiratory dysfunction.
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Affiliation(s)
- Takashi Asakawa
- Department of Clinical Medical Sciences, Rehabilitation
Medicine, International University of Health and Welfare Graduate School of Medicine,
Narita, Japan
- Department of Rehabilitation Division of Physiotherapy,
International University of Health and Welfare Ichikawa Hospital, Ichikawa, Japan
| | - Mieko Ogino
- Department of Neurology and Intractable Neurological Disease
Center, International University of Health and Welfare Ichikawa Hospital, Ichikawa,
Japan
| | - Naomi Tominaga
- Department of Neurology and Intractable Neurological Disease
Center, International University of Health and Welfare Ichikawa Hospital, Ichikawa,
Japan
| | - Naoto Ozaki
- Department of Rehabilitation Medicine, Jikei University
School of Medicine, Tokyo, Japan
| | - Jin Kubo
- Department of Rehabilitation Medicine, International
University of Health and Welfare School of Medicine, Narita, Japan
| | - Wataru Kakuda
- Department of Rehabilitation Medicine, International
University of Health and Welfare School of Medicine, Narita, Japan
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10
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Goolla M, Cheshire WP, Ross OA, Kondru N. Diagnosing multiple system atrophy: current clinical guidance and emerging molecular biomarkers. Front Neurol 2023; 14:1210220. [PMID: 37840912 PMCID: PMC10570409 DOI: 10.3389/fneur.2023.1210220] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
Multiple system atrophy (MSA) is a rare and progressive neurodegenerative disorder characterized by motor and autonomic dysfunction. Accurate and early diagnosis of MSA is challenging due to its clinical similarity with other neurodegenerative disorders, such as Parkinson's disease and atypical parkinsonian disorders. Currently, MSA diagnosis is based on clinical criteria drawing from the patient's symptoms, lack of response to levodopa therapy, neuroimaging studies, and exclusion of other diseases. However, these methods have limitations in sensitivity and specificity. Recent advances in molecular biomarker research, such as α-synuclein protein amplification assays (RT-QuIC) and other biomarkers in cerebrospinal fluid and blood, have shown promise in improving the diagnosis of MSA. Additionally, these biomarkers could also serve as targets for developing disease-modifying therapies and monitoring treatment response. In this review, we provide an overview of the clinical syndrome of MSA and discuss the current diagnostic criteria, limitations of current diagnostic methods, and emerging molecular biomarkers that offer hope for improving the accuracy and early detection of MSA.
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Affiliation(s)
- Meghana Goolla
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Department of Surgery, University of Illinois, Chicago, IL, United States
| | | | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, United States
- Department of Biology, University of North Florida, Jacksonville, FL, United States
| | - Naveen Kondru
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
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11
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Rostoka E, Shvirksts K, Salna E, Trapina I, Fedulovs A, Grube M, Sokolovska J. Prediction of type 1 diabetes with machine learning algorithms based on FTIR spectral data in peripheral blood mononuclear cells. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4926-4937. [PMID: 37721124 DOI: 10.1039/d3ay01080e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
The incidence of autoimmunity is increasing, to ensure timely and comprehensive treatment, there must be a diagnostic method or markers that would be available to the general public. Fourier-transform infrared spectroscopy (FTIR) is a relatively inexpensive and accurate method for determining metabolic fingerprint. The metabolism, molecular composition and function of blood cells vary according to individual physiological and pathological conditions. Thus, by obtaining autoimmune disease-specific metabolic fingerprint markers in peripheral blood mononuclear cells (PBMC) and subsequently using machine learning algorithms, it might be possible to create a tool that will allow the diagnosis of autoimmune diseases. In this preliminary study, it was found that the peak shift at 1545 cm-1 could be considered specific for autoimmune disease type 1 diabetes (T1D), while the shifts at 1070 and 1417 cm-1 could be more attributed to the autoimmune condition per se. The prediction of T1D, despite the small number of participants in the study, showed an inverse AUC = 0.33 ± 0.096, n = 15, indicating a stable trend in the prediction of T1D based on FTIR metabolic fingerprint data in the PBMC.
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Affiliation(s)
- Evita Rostoka
- Faculty of Medicine, University of Latvia, Jelgavas iela 3, LV 1004, Riga, Latvia.
| | - Karlis Shvirksts
- Institute of Microbiology and Biotechnology, University of Latvia, Jelgavas iela 1, LV1004, Riga, Latvia
| | - Edgars Salna
- Faculty of Medicine, University of Latvia, Jelgavas iela 3, LV 1004, Riga, Latvia.
| | - Ilva Trapina
- Institute of Biology, University of Latvia, Jelgavas iela 1, LV1004 Riga, Latvia
| | - Aleksejs Fedulovs
- Faculty of Medicine, University of Latvia, Jelgavas iela 3, LV 1004, Riga, Latvia.
| | - Mara Grube
- Institute of Microbiology and Biotechnology, University of Latvia, Jelgavas iela 1, LV1004, Riga, Latvia
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12
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Anghel L, Ciubară A, Nechita A, Nechita L, Manole C, Baroiu L, Ciubară AB, Mușat CL. Sleep Disorders Associated with Neurodegenerative Diseases. Diagnostics (Basel) 2023; 13:2898. [PMID: 37761265 PMCID: PMC10527657 DOI: 10.3390/diagnostics13182898] [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: 07/21/2023] [Revised: 08/30/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Sleep disturbances are common in various neurological pathologies, including amyotrophic lateral sclerosis (ALS), multiple system atrophy (MSA), hereditary ataxias, Huntington's disease (HD), progressive supranuclear palsy (PSP), and dementia with Lewy bodies (DLB). This article reviews the prevalence and characteristics of sleep disorders in these conditions, highlighting their impact on patients' quality of life and disease progression. Sleep-related breathing disorders, insomnia, restless legs syndrome (RLS), periodic limb movement syndrome (PLMS), and rapid eye movement sleep behavior disorder (RBD) are among the common sleep disturbances reported. Both pharmacological and non-pharmacological interventions play crucial roles in managing sleep disturbances and enhancing overall patient care.
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Affiliation(s)
- Lucreția Anghel
- Clinical Medical Department, Faculty of Medicine and Pharmacy, ‘Dunarea de Jos’ University, 800008 Galati, Romania; (L.A.); (A.C.); (A.N.); (L.N.); (L.B.)
- ‘Sf. Apostol Andrei’ Clinical Emergency County Hospital, 800578 Galati, Romania;
| | - Anamaria Ciubară
- Clinical Medical Department, Faculty of Medicine and Pharmacy, ‘Dunarea de Jos’ University, 800008 Galati, Romania; (L.A.); (A.C.); (A.N.); (L.N.); (L.B.)
| | - Aurel Nechita
- Clinical Medical Department, Faculty of Medicine and Pharmacy, ‘Dunarea de Jos’ University, 800008 Galati, Romania; (L.A.); (A.C.); (A.N.); (L.N.); (L.B.)
- ‘Sf. Ioan’ Clinical Hospital for Children, 800487 Galati, Romania
| | - Luiza Nechita
- Clinical Medical Department, Faculty of Medicine and Pharmacy, ‘Dunarea de Jos’ University, 800008 Galati, Romania; (L.A.); (A.C.); (A.N.); (L.N.); (L.B.)
- ‘Sf. Apostol Andrei’ Clinical Emergency County Hospital, 800578 Galati, Romania;
| | - Corina Manole
- Clinical Medical Department, Faculty of Medicine and Pharmacy, ‘Dunarea de Jos’ University, 800008 Galati, Romania; (L.A.); (A.C.); (A.N.); (L.N.); (L.B.)
- ‘Sf. Apostol Andrei’ Clinical Emergency County Hospital, 800578 Galati, Romania;
| | - Liliana Baroiu
- Clinical Medical Department, Faculty of Medicine and Pharmacy, ‘Dunarea de Jos’ University, 800008 Galati, Romania; (L.A.); (A.C.); (A.N.); (L.N.); (L.B.)
- ‘Sf. Cuv. Parascheva’ Clinical Hospital of Infectious Diseases, 800179 Galati, Romania
| | - Alexandru Bogdan Ciubară
- Department of Morphological and Functional Sciences, Faculty of Medicine and Pharmacy, Dunarea de Jos’ University, 800008 Galati, Romania;
| | - Carmina Liana Mușat
- ‘Sf. Apostol Andrei’ Clinical Emergency County Hospital, 800578 Galati, Romania;
- Department of Morphological and Functional Sciences, Faculty of Medicine and Pharmacy, Dunarea de Jos’ University, 800008 Galati, Romania;
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Arora A, Hooda N, Channa JS, Negi M. A Rare Case of Cerebellar Ataxia. Neurol India 2023; 71:1031. [PMID: 37929456 DOI: 10.4103/0028-3886.388054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Affiliation(s)
- Aanchal Arora
- Department of Medicine, ABVIMS and Dr. RML Hospital, New Delhi, India
| | - Nidhi Hooda
- Department of Medicine, ABVIMS and Dr. RML Hospital, New Delhi, India
| | | | - Motilal Negi
- Department of Medicine, ABVIMS and Dr. RML Hospital, New Delhi, India
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14
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Moturu A, Welch W. Primary lateral sclerosis plus parkinsonism: a case report. BMC Neurol 2023; 23:312. [PMID: 37644413 PMCID: PMC10463512 DOI: 10.1186/s12883-023-03360-x] [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: 09/30/2022] [Accepted: 07/25/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND The standard of diagnosing primary lateral sclerosis, the Pringle criteria, requires three years of purely upper motor neuron symptom presentation before confirming diagnosis. This classic standard has been questioned on occasion due to its restrictive range of both time period and symptomatic exhibition. CASE PRESENTATION This case report will review a 57-year-old Caucasian female who presented with pyramidal and extrapyramidal features suggestive of the exceedingly rare disease primary lateral sclerosis plus parkinsonism. We will describe the mixture of upper motor neuron signs and striking parkinsonian symptoms experienced by the patient, as well as the full diagnostic workup leading to her preliminary diagnosis. The details of this case will then be utilized to explore the diagnostic criteria of primary lateral sclerosis, as well as to work through the differential of conditions resembling Parkinson's disease. CONCLUSIONS The current criteria to diagnose primary lateral sclerosis may be excluding patients with the disease and is an ongoing area of investigation. A thorough differential including other neurodegenerative conditions is necessary to consider and requires long-term follow-up.
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Affiliation(s)
- Abhaya Moturu
- Department of Neurology, University of Kansas St. Francis Health System, Topeka, KS, USA.
- Kansas City University, Kansas City, MO, USA.
| | - Wade Welch
- Department of Neurology, University of Kansas St. Francis Health System, Topeka, KS, USA
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15
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Wang P, Lan G, Xu B, Yu Z, Tian C, Lei X, Meissner WG, Feng T, Yang Y, Zhang J. α-Synuclein-carrying astrocytic extracellular vesicles in Parkinson pathogenesis and diagnosis. Transl Neurodegener 2023; 12:40. [PMID: 37620916 PMCID: PMC10463943 DOI: 10.1186/s40035-023-00372-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND The accumulation of α-synuclein (α-syn), an essential step in PD development and progression, is observed not only in neurons but also in glia, including astrocytes. The mechanisms regulating astrocytic α-syn level and aggregation remain unclear. More recently, it has been demonstrated that a part of α-syn spreading occurs through extracellular vesicles (EVs), although it is unknown whether this process is involved in astrocytes of PD. It is known, however, that EVs derived from the central nervous system exist in the blood and are extensively explored as biomarkers for PD and other neurodegenerative disorders. METHODS Primary astrocytes were transfected with A53T α-syn plasmid or exposed to α-syn aggregates. The level of astrocyte-derived EVs (AEVs) was assessed by nanoparticle tracking analysis and immunofluorescence. The lysosomal function was evaluated by Cathepsin assays, immunofluorescence for levels of Lamp1 and Lamp2, and LysoTracker Red staining. The Apogee assays were optimized to measure the GLT-1+ AEVs in clinical cohorts of 106 PD, 47 multiple system atrophy (MSA), and 103 healthy control (HC) to test the potential of plasma AEVs as a biomarker to differentiate PD from other forms of parkinsonism. RESULTS The number of AEVs significantly increased in primary astrocytes with α-syn deposition. The mechanism of increased AEVs was partially attributed to lysosomal dysfunction. The number of α-syn-carrying AEVs was significantly higher in patients with PD than in HC and MSA. The integrative model combining AEVs with total and aggregated α-syn exhibited efficient diagnostic power in differentiating PD from HC with an AUC of 0.915, and from MSA with an AUC of 0.877. CONCLUSIONS Pathological α-syn deposition could increase the astrocytic secretion of EVs, possibly through α-syn-induced lysosomal dysfunction. The α-syn-containing AEVs in the peripheral blood may be an effective biomarker for clinical diagnosis or differential diagnosis of PD.
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Affiliation(s)
- Pan Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- National Human Brain Bank for Health and Disease, Zhejiang University, Hangzhou, 310002, China
| | - Guoyu Lan
- Department of Pathology, Peking University Health Science Center, Beijing, 100191, China
| | - Bin Xu
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Zhenwei Yu
- Department of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Chen Tian
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Xia Lei
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Wassilios G Meissner
- CNRS, IMN, UMR 5293, University of Bordeaux, 33000, Bordeaux, France
- CHU Bordeaux, Service de Neurologie des Maladies Neurodégénératives, IMNc, 33000, Bordeaux, France
- Department of Medicine, New Zealand Brain Research Institute, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tao Feng
- Department of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
| | - Ying Yang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China.
- Department of Pathology, Peking University Health Science Center, Beijing, 100191, China.
| | - Jing Zhang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China.
- National Human Brain Bank for Health and Disease, Zhejiang University, Hangzhou, 310002, China.
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16
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Peelaerts W, Mercado G, George S, Villumsen M, Kasen A, Aguileta M, Linstow C, Sutter AB, Kuhn E, Stetzik L, Sheridan R, Bergkvist L, Meyerdirk L, Lindqvist A, Gavis MLE, Van den Haute C, Hultgren SJ, Baekelandt V, Pospisilik JA, Brudek T, Aznar S, Steiner JA, Henderson MX, Brundin L, Ivanova MI, Hannan TJ, Brundin P. Urinary tract infections trigger synucleinopathy via the innate immune response. Acta Neuropathol 2023; 145:541-559. [PMID: 36991261 PMCID: PMC10119259 DOI: 10.1007/s00401-023-02562-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/28/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
Symptoms in the urogenital organs are common in multiple system atrophy (MSA), also in the years preceding the MSA diagnosis. It is unknown how MSA is triggered and these observations in prodromal MSA led us to hypothesize that synucleinopathy could be triggered by infection of the genitourinary tract causing ɑ-synuclein (ɑSyn) to aggregate in peripheral nerves innervating these organs. As a first proof that peripheral infections could act as a trigger in MSA, this study focused on lower urinary tract infections (UTIs), given the relevance and high frequency of UTIs in prodromal MSA, although other types of infection might also be important triggers of MSA. We performed an epidemiological nested-case control study in the Danish population showing that UTIs are associated with future diagnosis of MSA several years after infection and that it impacts risk in both men and women. Bacterial infection of the urinary bladder triggers synucleinopathy in mice and we propose a novel role of ɑSyn in the innate immune system response to bacteria. Urinary tract infection with uropathogenic E. coli results in the de novo aggregation of ɑSyn during neutrophil infiltration. During the infection, ɑSyn is released extracellularly from neutrophils as part of their extracellular traps. Injection of MSA aggregates into the urinary bladder leads to motor deficits and propagation of ɑSyn pathology to the central nervous system in mice overexpressing oligodendroglial ɑSyn. Repeated UTIs lead to progressive development of synucleinopathy with oligodendroglial involvement in vivo. Our results link bacterial infections with synucleinopathy and show that a host response to environmental triggers can result in ɑSyn pathology that bears semblance to MSA.
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Affiliation(s)
- Wouter Peelaerts
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
- Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, KU Leuven, Louvain, Belgium
- Laboratory for Virology and Gene Therapy, Department of Pharmacy and Pharmaceutical Sciences, KU Leuven, Louvain, Belgium
| | - Gabriela Mercado
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Sonia George
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Marie Villumsen
- Center for Clinical Research and Disease Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Alysa Kasen
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Miguel Aguileta
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Christian Linstow
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Alexandra B Sutter
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Neuroscience Graduate Program, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily Kuhn
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Lucas Stetzik
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Rachel Sheridan
- Flow Cytometry Core Facility, Van Andel Institute, Grand Rapids, MI, USA
| | - Liza Bergkvist
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Lindsay Meyerdirk
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Allison Lindqvist
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Martha L Escobar Gavis
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Chris Van den Haute
- Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, KU Leuven, Louvain, Belgium
- Leuven Viral Vector Core, Department of Neurosciences, KU Leuven, Louvain, Belgium
| | - Scott J Hultgren
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Veerle Baekelandt
- Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, KU Leuven, Louvain, Belgium
- Leuven Viral Vector Core, Department of Neurosciences, KU Leuven, Louvain, Belgium
| | | | - Tomasz Brudek
- Centre for Neuroscience and Stereology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Susana Aznar
- Centre for Neuroscience and Stereology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Jennifer A Steiner
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Michael X Henderson
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Lena Brundin
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA
| | - Magdalena I Ivanova
- Neuroscience Graduate Program, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Biophysics Program, University of Michigan, Ann Arbor, MI, USA
| | - Tom J Hannan
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Patrik Brundin
- Department of Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, MI, USA.
- Pharma Research and Early Development (pRED), F. Hoffmann-La Roche, Basel, Switzerland.
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17
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Cockx H, Nonnekes J, Bloem B, van Wezel R, Cameron I, Wang Y. Dealing with the heterogeneous presentations of freezing of gait: how reliable are the freezing index and heart rate for freezing detection? J Neuroeng Rehabil 2023; 20:53. [PMID: 37106388 PMCID: PMC10134593 DOI: 10.1186/s12984-023-01175-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Freezing of gait (FOG) is an unpredictable gait arrest that hampers the lives of 40% of people with Parkinson's disease. Because the symptom is heterogeneous in phenotypical presentation (it can present as trembling/shuffling, or akinesia) and manifests during various circumstances (it can be triggered by e.g. turning, passing doors, and dual-tasking), it is particularly difficult to detect with motion sensors. The freezing index (FI) is one of the most frequently used accelerometer-based methods for FOG detection. However, it might not adequately distinguish FOG from voluntary stops, certainly for the akinetic type of FOG. Interestingly, a previous study showed that heart rate signals could distinguish FOG from stopping and turning movements. This study aimed to investigate for which phenotypes and evoking circumstances the FI and heart rate might provide reliable signals for FOG detection. METHODS Sixteen people with Parkinson's disease and daily freezing completed a gait trajectory designed to provoke FOG including turns, narrow passages, starting, and stopping, with and without a cognitive or motor dual-task. We compared the FI and heart rate of 378 FOG events to baseline levels, and to stopping and normal gait events (i.e. turns and narrow passages without FOG) using mixed-effects models. We specifically evaluated the influence of different types of FOG (trembling vs akinesia) and triggering situations (turning vs narrow passages; no dual-task vs cognitive dual-task vs motor dual-task) on both outcome measures. RESULTS The FI increased significantly during trembling and akinetic FOG, but increased similarly during stopping and was therefore not significantly different from FOG. In contrast, heart rate change during FOG was for all types and during all triggering situations statistically different from stopping, but not from normal gait events. CONCLUSION When the power in the locomotion band (0.5-3 Hz) decreases, the FI increases and is unable to specify whether a stop is voluntary or involuntary (i.e. trembling or akinetic FOG). In contrast, the heart rate can reveal whether there is the intention to move, thus distinguishing FOG from stopping. We suggest that the combination of a motion sensor and a heart rate monitor may be promising for future FOG detection.
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Affiliation(s)
- Helena Cockx
- Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Heyendaalseweg 135, P.O. Box 9102, 6525AJ, Nijmegen, The Netherlands.
| | - Jorik Nonnekes
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Rehabilitation, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - Bastiaan Bloem
- Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Richard van Wezel
- Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Heyendaalseweg 135, P.O. Box 9102, 6525AJ, Nijmegen, The Netherlands
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands
| | - Ian Cameron
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands
- OnePlanet Research Center, Nijmegen, The Netherlands
| | - Ying Wang
- Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Heyendaalseweg 135, P.O. Box 9102, 6525AJ, Nijmegen, The Netherlands
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands
- ZGT Academy, Ziekenhuisgroep Twente, Almelo, The Netherlands
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18
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Chen B, Cui W, Wang S, Sun A, Yu H, Liu Y, He J, Fan G. Functional connectome automatically differentiates multiple system atrophy (parkinsonian type) from idiopathic Parkinson's disease at early stages. Hum Brain Mapp 2023; 44:2176-2190. [PMID: 36661217 PMCID: PMC10028675 DOI: 10.1002/hbm.26201] [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] [Received: 06/21/2022] [Revised: 12/08/2022] [Accepted: 12/30/2022] [Indexed: 01/21/2023] Open
Abstract
Differentiating the parkinsonian variant of multiple system atrophy (MSA-P) from idiopathic Parkinson's disease (IPD) is challenging, especially in the early stages. This study aimed to investigate differences and similarities in the brain functional connectomes of IPD and MSA-P patients and use machine learning methods to explore the diagnostic utility of these features. Resting-state fMRI data were acquired from 88 healthy controls, 76 MSA-P patients, and 53 IPD patients using a 3.0 T scanner. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 116 regions, and topological properties were evaluated through graph theory approaches. Connectome measurements were used as features in machine learning models (random forest [RF]/logistic regression [LR]/support vector machine) to distinguish IPD and MSA-P patients. Regarding graph metrics, early IPD and MSA-P patients shared network topological properties. Both patient groups showed functional connectivity disruptions within the cerebellum-basal ganglia-cortical network, but these disconnections were mainly in the cortico-thalamo-cerebellar circuits in MSA-P patients and the basal ganglia-thalamo-cortical circuits in IPD patients. Among the connectome parameters, t tests combined with the RF method identified 15 features, from which the LR classifier achieved the best diagnostic performance on the validation set (accuracy = 92.31%, sensitivity = 90.91%, specificity = 93.33%, area under the receiver operating characteristic curve = 0.89). MSA-P and IPD patients show similar whole-brain network topological alterations. MSA-P primarily affects cerebellar nodes, and IPD primarily affects basal ganglia nodes; both conditions disrupt the cerebellum-basal ganglia-cortical network. Moreover, functional connectome parameters showed outstanding value in the differential diagnosis of early MSA-P and IPD.
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Affiliation(s)
- Boyu Chen
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Wenzhuo Cui
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Shanshan Wang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Anlan Sun
- Yizhun Medical AI Co. Ltd, Beijing, People's Republic of China
| | - Hongmei Yu
- Department of Neurology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Yu Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Jiachuan He
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
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Bougea A, Stefanis L. microRNA and circRNA in Parkinson's Disease and atypical parkinsonian syndromes. Adv Clin Chem 2023; 115:83-133. [PMID: 37673523 DOI: 10.1016/bs.acc.2023.03.002] [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] [Indexed: 03/30/2023]
Abstract
Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP) are atypical parkinsonian syndromes (APS) with various clinical phenotypes and considerable clinical overlap with idiopathic Parkinson's disease (iPD). This disease heterogeneity makes ante-mortem diagnosis extremely challenging with up to 24% of patients misdiagnosed. Because diagnosis is predominantly clinical, there is great interest in identifying biomarkers for early diagnosis and differentiation of the different types of parkinsonism. Compared to protein biomarkers, microRNAs (miRNAs) and circularRNAs (circRNAs) are stable tissue-specific molecules that can be accurately measured by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). This chapter critically reviews miRNAs and circRNAs as diagnostic biomarkers and therapeutics to differentiate atypical parkinsonian disorders and their role in disease pathogenesis.
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Affiliation(s)
- Anastasia Bougea
- 1st Department of Neurology, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece.
| | - Leonidas Stefanis
- 1st Department of Neurology, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
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20
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Genetics of Multiple System Atrophy and Progressive Supranuclear Palsy: A Systemized Review of the Literature. Int J Mol Sci 2023; 24:ijms24065281. [PMID: 36982356 PMCID: PMC10048872 DOI: 10.3390/ijms24065281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/25/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
Multiple system atrophy (MSA) and progressive supranuclear palsy (PSP) are uncommon multifactorial atypical Parkinsonian syndromes, expressed by various clinical features. MSA and PSP are commonly considered sporadic neurodegenerative disorders; however, our understanding is improving of their genetic framework. The purpose of this study was to critically review the genetics of MSA and PSP and their involvement in the pathogenesis. A systemized literature search of PubMed and MEDLINE was performed up to 1 January 2023. Narrative synthesis of the results was undertaken. In total, 43 studies were analyzed. Although familial MSA cases have been reported, the hereditary nature could not be demonstrated. COQ2 mutations were involved in familial and sporadic MSA, without being reproduced in various clinical populations. In terms of the genetics of the cohort, synuclein alpha (SNCA) polymorphisms were correlated with an elevated likelihood of manifesting MSA in Caucasians, but a causal effect relationship could not be demonstrated. Fifteen MAPT mutations were linked with PSP. Leucine-rich repeat kinase 2 (LRRK2) is an infrequent monogenic mutation of PSP. Dynactin subunit 1 (DCTN1) mutations may imitate the PSP phenotype. GWAS have noted many risk loci of PSP (STX6 and EIF2AK3), suggesting pathogenetic mechanisms related to PSP. Despite the limited evidence, it seems that genetics influence the susceptibility to MSA and PSP. MAPT mutations result in the MSA and PSP pathologies. Further studies are crucial to elucidate the pathogeneses of MSA and PSP, which will support efforts to develop novel drug options.
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21
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Hu W, Cheng Y, Pan J, Wang X, Li S, Fan Z, Shao B, Niu X. Value of electrophysiological indicators in differential diagnosis of parkinson's disease and multiple system atrophy. BMC Neurol 2023; 23:94. [PMID: 36864385 PMCID: PMC9979443 DOI: 10.1186/s12883-023-03131-8] [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: 10/21/2022] [Accepted: 02/20/2023] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND We evaluated the value of electrophysiological indicators by external anal sphincter electromyography (EAS-EMG), sympathetic skin response (SSR), R-R interval variation (RRIV), and Bulbocavernosus Reflex (BCR) in differential diagnosis of multiple system atrophy (MSA) and Parkinson's disease (PD). METHODS A total of 41 patients with MSA and 32 patients with PD were enrolled. The electrophysiological changes of autonomic dysfunction were assessed with BCR, EAS-EMG, SSR, and RRIV, and the abnormal rate of each indicator was calculated. The diagnostic value of each indicator was analyzed with ROC curve. RESULTS The incidence rate of autonomic dysfunction in MSA group was significantly higher than that in PD group (p < 0.05). The abnormal rates of BCR and EAS-EMG indicators in MSA group were higher than those in PD group (p < 0.05). The abnormal rates of SSR and RRIV indicators in MSA group and PD group were high; however, there was no significant difference between MSA and PD groups (p > 0.05). The sensitivity of BCR combined with EAS-EMG indicators in differential diagnosis of MSA and PD were 92.3% in males and 86.7% in females, respectively, and the specificity was 72.7% in males and 90% in females, respectively. CONCLUSIONS Combined analysis of BCR and EAS-EMG has high sensitivity and specificity for differential diagnosis of MSA and PD.
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Affiliation(s)
- Wangwang Hu
- Department of Rehabilitation Medicine, Ningbo Medical Center Li Huili Hospital, Zhejiang 315000 Ningbo, China
| | - Yifan Cheng
- grid.417401.70000 0004 1798 6507Center for Rehabilitation Medicine, Department of Neurology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou, 310014 Zhejiang China
| | - Jie Pan
- grid.414906.e0000 0004 1808 0918Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 Zhejiang China
| | - Xun Wang
- grid.414906.e0000 0004 1808 0918Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 Zhejiang China
| | - Shaojing Li
- grid.414906.e0000 0004 1808 0918Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 Zhejiang China
| | - Zijian Fan
- grid.452858.60000 0005 0368 2155Department of Neurology, Taizhou Central Hospital, Taizhou, 317700 Zhejiang China
| | - Bei Shao
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
| | - Xiaoting Niu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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22
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Zhang J, Han J, Shi Z, Zhang J, Zhou Z, Liu J, Yang G, Sun Y, Gu P, Zhao P, Ma L, Gong Z, Zhao J, Liu S, Liu C, Zhai X, Shang W, Chen Z, Gan J, Ma L, Hu W, Zhu H, Ji Y. The characteristic of nonmotor symptoms with different phenotypes and onsets in multiple system atrophy patients. J Clin Neurosci 2023; 109:1-5. [PMID: 36634471 DOI: 10.1016/j.jocn.2022.12.012] [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: 08/27/2022] [Revised: 11/26/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVES The characteristic of nonmotor symptoms in patients with multiple system atrophy (MSA) has varied among previous studies. The objective was to investigatethe nonmotor characteristics in MSA patients with different phenotypes, sex and different onset patterns. METHODS We performed a retrospective review of 1492 MSA patients. All cases were evaluatedby neurologists and assessed with motormanifestations, nonmotor symptoms, auxiliary examinationand brain MRI scans. RESULTS Multiple system atrophy-cerebellar ataxia (MSA-C) was the predominant phenotype in 998 patients. Average age of onset (56.8 ± 9.2 years) was earlier, the disease duration (2.4 ± 2.2 year) was shorter and brain MRI abnormalities (49.2 %) were more frequently in MSA-C (P < 0.001). Multiple system atrophy-parkinsonism (MSA-P) patients were more likely to have nonmotor symptoms. After adjusted significant parameters, urinary dysfunction (OR 1.441, 95 %CI = 1.067-1.946, P = 0.017), constipation (OR 1.482, 95 %CI = 1.113-1.973, P = 0.007), cognitive impairment (OR 1.509, 95 %CI = 1.074-2.121, P = 0.018) and drooling (OR 2.095, 95 %CI = 1.248-3.518, P = 0.005) were associated with the MSA-P phenotype. Males were more likely to have orthostatic hypotension, urinary dysfunction, sexual dysfunction, drooling and females in constipation and probable RBD. In different onset patterns, constipation (59.2 %) and probable RBD (28.4 %) were more frequently in autonomiconset pattern. CONCLUSIONS MSA-C is the predominant phenotype in Chinese patients, while many nonmotor symptoms are more common in MSA-P phenotype. Patients with different sex and onset patterns have different nonmotor characteristics. The different clinical features identified could help the physician counseling of MSA patients more easily and more accurately.
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Affiliation(s)
- Jinhong Zhang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin 300070, China; Department of Neurology, Cangzhou People's Hospital, Cangzhou, Hebei 061000, China
| | - Jiuyan Han
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zhihong Shi
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin 300350, China; Tianjin Dementia Institute, Department of Neurology, Tianjin Huan hu Hospital, Tianjin 300350, China
| | - Jiewen Zhang
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - Zhi Zhou
- Department of Neurology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Junyan Liu
- Department of Neurology, Hebei Medical University Third Affiliated Hospital, Shijiazhuang, Hebei 050051, China
| | - Gaiqing Yang
- Department of Neurology, Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan 450007, China
| | - Yongan Sun
- Department of Neurology, Peking University First Hospital, Beijing 100034, China
| | - Ping Gu
- Department of Neurology, Hebei Medical University First Affiliated Hospital, Shijiazhuang, Hebei 050030, China
| | - Ping Zhao
- Department of Neurology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Lili Ma
- Department of Neurology Ward 3, Kaifeng Central Hospital, Kaifeng, Henan 475001, China
| | - Zhongying Gong
- Department of Neurology, Tianjin First Central Hospital, Tianjin 300190, China
| | - Jingxia Zhao
- Department of Neurology, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumor Hospital, Shijiazhuang, Hebei 050011, China
| | - Shuai Liu
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin 300350, China; Tianjin Dementia Institute, Department of Neurology, Tianjin Huan hu Hospital, Tianjin 300350, China
| | - Chunyan Liu
- Department of Neurology, Beijing Aerospace General Hospital, Beijing 100012, China
| | - Xiaoyan Zhai
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Wanyu Shang
- Department of Neurology, Second Affiliated Hospital of Hebei, Shi Jiazhuang, Hebei 050000, China
| | - Zhichao Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Lingyun Ma
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Wenzheng Hu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Hongcan Zhu
- Department of Neurology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan 450052, China.
| | - Yong Ji
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin 300070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Department of Neurology, Tianjin Huan hu Hospital, Tianjin 300350, China.
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23
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Topuzova MP, Ternovykh IK, Shustova TA, Mikheeva AY, Chistyakova AO, Pavlova TA, Dudnikova NE, Pospelova ML, Alekseeva TM. [Multiple system atrophy]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:144-150. [PMID: 36843472 DOI: 10.17116/jnevro2023123021144] [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: 02/28/2023]
Abstract
The article presents a progressive neurodegenerative disease - multisystem atrophy, characterized by a combination of autonomic failure and various motor disorders, including parkinsonism and/or cerebellar ataxia; etiopathogenetic factors and variants of the clinical picture are described. We describe own clinical observation of a 59-old patient with cerebellar and bulbar syndromes, parkinsonism, pyramidal insufficiency, cognitive deficits, and autonomic dysfunction. The differential diagnosis included a whole range of neurodegenerative and hereditary diseases: Parkinson's disease, vascular parkinsonism, progressive supranuclear palsy, spinocerebellar ataxia, FXTAS, mitochondrial encephalopathies. The moderate severity of parkinsonism and the significant predominance of cerebellar symptoms and autonomic dysfunction make this clinical case difficult to diagnose. However, based on the life and disease history, clinical picture and research methods, a diagnosis of multiple system atrophy, cerebellar type (cerebellar, autonomic, bulbar syndrome, parkinsonism, pyramidal insufficiency and moderate cognitive impairment) was established. Differential search in such patients is a difficult task and includes a whole range of neurodegenerative and hereditary diseases due to the similarity of individual clinical and neuroimaging features and, unfortunately, the limited availability of molecular genetic diagnostic methods. However, earlier diagnosis is necessary to focus in time on the development of a personalized approach to the management of each such patient, taking into account the rate of symptoms development and steady progression, in order to ensure the longest possible survival time with an acceptable level of quality of life.
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Affiliation(s)
- M P Topuzova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - I K Ternovykh
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - T A Shustova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - A Yu Mikheeva
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - A O Chistyakova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - T A Pavlova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - N E Dudnikova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - M L Pospelova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - T M Alekseeva
- Almazov National Medical Research Centre, St Petersburg, Russia
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Yang N, Qi X, Hu J, Teng J, Wang Y, Li C. Exploring the mechanism of astragalus membranaceus in the treatment of multiple system atrophy based on network pharmacology and molecular docking. Medicine (Baltimore) 2023; 102:e32523. [PMID: 36749251 PMCID: PMC9901982 DOI: 10.1097/md.0000000000032523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 12/09/2022] [Indexed: 02/08/2023] Open
Abstract
Multiple system atrophy (MSA) is a fatal neurodegenerative disease, it causes functional degradation of multiple organs and systems throughout the body. Astragalus membranaceus (AM), a well-known traditional Chinese medicine, has been used to improve muscle wasting-related disorders for a long history. In this study, we used network pharmacology and molecular docking to predict the mechanism underlying AM for the treatment of MSA. We screened the active compounds of AM and its related targets, as well as the target proteins of MSA. We made a Venn diagram to obtain the intersecting targets and then constructed a protein-protein interaction network to find the core targets and build an active ingredient-target network map. After subjecting the intersecting targets to gene ontology and Kyoto encyclopedia of genes and genomes analysis, the binding ability of core compounds and core target proteins were validated by molecular docking. A total of 20 eligible compounds and 274 intersecting targets were obtained. The core components of treatment are quercetin, kaempferol, and isorhamnetin, and the core targets are TP53, RELA, and TNF. The main biological processes are related to cellular responses and regulation. Molecular functions are mainly associated with apoptosis, inflammation, and tumorigenesis. Molecular docking results show good and standard binding abilities. This study illustrates that AM treats MSA through multiple targets and pathways, and provides a reference for subsequent research.
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Affiliation(s)
- Ni Yang
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xianghua Qi
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jing Hu
- Shandong Public Health Clinical Center, Jinan, China
| | - Jing Teng
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuangeng Wang
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Chunlin Li
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
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25
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Torre-Muruzabal T, Van der Perren A, Coens A, Gelders G, Janer AB, Camacho-Garcia S, Klingstedt T, Nilsson P, Stefanova N, Melki R, Baekelandt V, Peelaerts W. Host oligodendrogliopathy and α-synuclein strains dictate disease severity in multiple system atrophy. Brain 2023; 146:237-251. [PMID: 35170728 DOI: 10.1093/brain/awac061] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/18/2022] [Accepted: 01/24/2022] [Indexed: 01/11/2023] Open
Abstract
Multiple system atrophy is a progressive neurodegenerative disease with prominent autonomic and motor features. During early stages, different subtypes of the disease are distinguished by their predominant parkinsonian or cerebellar symptoms, reflecting its heterogeneous nature. The pathognomonic feature of multiple system atrophy is the presence of α-synuclein (αSyn) protein deposits in oligodendroglial cells. αSyn can assemble in specific cellular or disease environments and form αSyn strains with unique structural features, but the ability of αSyn strains to propagate in oligodendrocytes remains elusive. Recently, it was shown that αSyn strains with related conformations exist in the brains of patients. Here, we investigated whether different αSyn strains can influence multiple system atrophy progression in a strain-dependent manner. To this aim, we injected two recombinant αSyn strains (fibrils and ribbons) in multiple system atrophy transgenic mice and found that they determined disease severity in multiple system atrophy via host-restricted and cell-specific pathology in vivo. αSyn strains significantly impact disease progression in a strain-dependent way via oligodendroglial, neurotoxic and immune-related mechanisms. Neurodegeneration and brain atrophy were accompanied by unique microglial and astroglial responses and the recruitment of central and peripheral immune cells. The differential activation of microglial cells correlated with the structural features of αSyn strains both in vitro and in vivo. Spectral analysis showed that ribbons propagated oligodendroglial inclusions that were structurally distinct from those of fibrils, with resemblance to oligodendroglial inclusions, in the brains of patients with multiple system atrophy. This study, therefore, shows that the multiple system atrophy phenotype is governed by both the nature of the αSyn strain and the host environment and that by injecting αSyn strains into an animal model of the disease, a more comprehensive phenotype can be established.
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Affiliation(s)
- Teresa Torre-Muruzabal
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
| | - Anke Van der Perren
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
| | - Audrey Coens
- Institut François Jacob (MIRCen), CEA, and Laboratory of Neurodegenerative Diseases, CNRS, Fontenay-aux-Roses, France
| | - Géraldine Gelders
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
| | - Anna Barber Janer
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
| | - Sara Camacho-Garcia
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
| | - Therése Klingstedt
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Peter Nilsson
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Nadia Stefanova
- Division of Neurobiology, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ronald Melki
- Institut François Jacob (MIRCen), CEA, and Laboratory of Neurodegenerative Diseases, CNRS, Fontenay-aux-Roses, France
| | - Veerle Baekelandt
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
| | - Wouter Peelaerts
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven, Belgium
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Frank C, Chiu R, Lee J. Parkinson disease primer, part 1: diagnosis. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2023; 69:20-24. [PMID: 36693741 PMCID: PMC9873290 DOI: 10.46747/cfp.690120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVE To provide family physicians an updated approach to the diagnosis of Parkinson disease (PD). SOURCES OF INFORMATION Published guidelines on the diagnosis and management of PD were reviewed. Database searches were conducted to retrieve relevant research articles published between 2011 and 2021. Evidence levels ranged from I to III. MAIN MESSAGE Diagnosis of PD is predominantly clinical. Family physicians should evaluate patients for specific features of parkinsonism, then determine whether symptoms are attributable to PD. Levodopa trials can be used to help confirm the diagnosis and alleviate motor symptoms of PD. "Red flag" features and absence of response to levodopa may point to other causes of parkinsonism and prompt more urgent referral. CONCLUSION Access to neurologists and specialized clinics varies, and Canadian family physicians can be important players in facilitating early and accurate diagnosis of PD. Applying an organized approach to diagnosis and considering motor and nonmotor symptoms can greatly benefit patients with PD. Part 2 in this series will review management of PD.
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Affiliation(s)
- Chris Frank
- Family physician focusing on care of the elderly and palliative care and Professor in the Department of Medicine at Queen's University in Kingston, Ont.
| | - Ruth Chiu
- Family physician specializing in care of the elderly at North York General Hospital in Toronto, Ont, and Adjunct Lecturer in the Department of Family and Community Medicine at the University of Toronto
| | - Joyce Lee
- Clinical Associate Professor in the Department of Family Medicine and Physician Lead of the Geriatric Parkinson's Assessment Program at the Kaye Edmonton Clinic at the University of Alberta in Edmonton
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Comparison of the second consensus statement with the movement disorder society criteria for multiple system atrophy: A single-center analysis. Parkinsonism Relat Disord 2023; 106:105242. [PMID: 36529110 DOI: 10.1016/j.parkreldis.2022.105242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/17/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION This study aimed at comparing the differences between the second consensus statement and Movement Disorder Society (MDS) criteria for Multiple System Atrophy (MSA) in a single Chinese cohort. METHODS We retrospectively reviewed 73 patients with MSA over the past five years. They were categorized as patients with probable and possible MSA according to the second consensus statement in addition to clinically established and clinically probable MSA according to the MDS criteria. The core clinical, supportive clinical, and imaging features were analyzed and compared between the two MSA subtypes. RESULTS A total of 40 patients with MSA-P and 33 patients with MSA-C were included in this study. Approximately 78.7% of the category of probable patients in the second consensus statement can be categorized as clinically established MSA in the MDS criteria and five patients with non-supporting features in the second consensus statement criteria can be diagnosed as clinically probable MSA in the MDS criteria. "Rapid progression" and "moderate to severe postural instability" within three years of motor onset dominated among the supportive features. Approximately 78.9% of patients possessed at least one imaging marker with predominant signal decrease of putamen on iron-sensitive sequences (38.0% of patients). Twenty-two patients could not be diagnosed as clinically established MSA mainly due to the lack of supportive or imaging features. CONCLUSIONS A high degree of agreement was noticed between the two criteria sets. The supportive and imaging features played important role in the diagnosis of MSA and affected the diagnostic level in the current criteria.
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28
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Frank C, Chiu R, Lee J. Abécédaire de la maladie de Parkinson, partie 1 : le diagnostic. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2023; 69:e8-e13. [PMID: 36693748 PMCID: PMC9873293 DOI: 10.46747/cfp.6901e8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Objectif Présenter aux médecins de famille une approche actualisée du diagnostic de la maladie de Parkinson (MP). Sources de l’information Les lignes directrices sur le diagnostic et la prise en charge de la MP ont été passées en revue. Des recensions dans les bases de données ont été effectuées pour en extraire les articles de recherche publiés entre 2011 et 2021. Le niveau des données probantes varie entre I et III. Message principal Le diagnostic de la MP est principalement d’ordre clinique. Les médecins de famille devraient évaluer les patients en fonction des caractéristiques particulières du parkinsonisme et déterminer ensuite si les symptômes sont attribuables à la MP. Des essais à la lévodopa peuvent servir à confirmer le diagnostic et à atténuer les symptômes moteurs de la MP. Des « signaux d’alerte » et l’absence de réponse à la lévodopa pourraient indiquer d’autres causes du parkinsonisme et inciter à faire une demande de consultation plus urgente. Conclusion L’accès à des neurologues et à des cliniques spécialisées est variable, et les médecins de famille canadiens peuvent être des acteurs importants pour faciliter un diagnostic précoce et exact de la MP. La mise en application d’une approche structurée du diagnostic, et la prise en compte des symptômes moteurs et non moteurs peuvent être grandement bénéfiques pour les patients atteints de la MP. La partie 2 de cette série portera sur la prise en charge de la MP.
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Affiliation(s)
- Chris Frank
- Médecin de famille; il se concentre sur les soins palliatifs et aux personnes âgées et est professeur au Département de médecine de l'Université Queen's à Kingston (Ontario).
| | - Ruth Chiu
- Médecin de famille spécialisée en soins aux personnes âgées à l'Hôpital North York General à Toronto (Ontario) et chargée de cours adjointe au Département de médecine familiale et communautaire de l'Université de Toronto
| | - Joyce Lee
- Professeure agrégée de clinique au Département de médecine familiale et médecin responsable du programme d'évaluation gériatrique de la maladie de Parkinson à la Kaye Edmonton Clinic de l'Université de l'Alberta à Edmonton
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Lamotte G, Singer W. Synucleinopathies. HANDBOOK OF CLINICAL NEUROLOGY 2023; 196:175-202. [PMID: 37620069 DOI: 10.1016/b978-0-323-98817-9.00032-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
The α-synucleinopathies include pure autonomic failure, multiple system atrophy, dementia with Lewy bodies, and Parkinson disease. The past two decades have witnessed significant advances in the diagnostic strategies and symptomatic treatment of motor and nonmotor symptoms of the synucleinopathies. This chapter provides an in-depth review of the pathophysiology, pathology, genetic, epidemiology, and clinical and laboratory autonomic features that distinguish the different synucleinopathies with an emphasis on autonomic failure as a common feature. The treatment of the different synucleinopathies is discussed along with the proposal for multidisciplinary, individualized care models that optimally address the various symptoms. There is an urgent need for clinical scientific studies addressing patients at risk of developing synucleinopathies and the investigation of disease mechanisms, biomarkers, potential disease-modifying therapies, and further advancement of symptomatic treatments for motor and nonmotor symptoms.
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Affiliation(s)
- Guillaume Lamotte
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
| | - Wolfgang Singer
- Department of Neurology, Mayo Clinic, Rochester, MN, United States.
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Weston LJ, Bowman AM, Osterberg VR, Meshul CK, Woltjer RL, Unni VK. Aggregated Alpha-Synuclein Inclusions within the Nucleus Predict Impending Neuronal Cell Death in a Mouse Model of Parkinsonism. Int J Mol Sci 2022; 23:ijms232315294. [PMID: 36499619 PMCID: PMC9736441 DOI: 10.3390/ijms232315294] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/28/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Alpha-synuclein (aSyn) is a 14 kD protein encoded by the SNCA gene that is expressed in vertebrates and normally localizes to presynaptic terminals and the nucleus. aSyn forms pathological intracellular aggregates that typify a group of important neurodegenerative diseases called synucleinopathies. Previous work in human tissue and model systems indicates that some of these aggregates can be intranuclear, but the significance of aSyn aggregation within the nucleus is not clear. We used a mouse model that develops aggregated aSyn nuclear inclusions. Using aSyn preformed fibril injections in GFP-tagged aSyn transgenic mice, we were able to induce the formation of nuclear aSyn inclusions and study their properties in fixed tissue and in vivo using multiphoton microscopy. In addition, we analyzed human synucleinopathy patient tissue to better understand this pathology. Our data demonstrate that nuclear aSyn inclusions may form through the transmission of aSyn between neurons, and these intranuclear aggregates bear the hallmarks of cytoplasmic Lewy pathology. Neuronal nuclear aSyn inclusions can form rod-like structures that do not contain actin, excluding them from being previously described nuclear actin rods. Longitudinal, in vivo multiphoton imaging indicates that certain morphologies of neuronal nuclear aSyn inclusions predict cell death within 14 days. Human multiple system atrophy cases contain neurons and glia with similar nuclear inclusions, but we were unable to detect such inclusions in Lewy body dementia cases. This study suggests that the dysregulation of a nuclear aSyn function associated with nuclear inclusion formation could play a role in the forms of neurodegeneration associated with synucleinopathy.
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Affiliation(s)
- Leah J. Weston
- Department of Neurology & Jungers Center for Neurosciences Research, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anna M. Bowman
- Department of Neurology & Jungers Center for Neurosciences Research, Oregon Health & Science University, Portland, OR 97239, USA
| | - Valerie R. Osterberg
- Department of Neurology & Jungers Center for Neurosciences Research, Oregon Health & Science University, Portland, OR 97239, USA
| | - Charles K. Meshul
- Research Services, Neurocytology Laboratory, Veterans Affairs Medical Center, Portland, OR 97239, USA
- Departments of Behavioral Neuroscience and Pathology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Randall L. Woltjer
- Department of Pathology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Vivek K. Unni
- Department of Neurology & Jungers Center for Neurosciences Research, Oregon Health & Science University, Portland, OR 97239, USA
- OHSU Parkinson Center, Oregon Health & Science University, Portland, OR 97239, USA
- Correspondence:
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Jia P, Zhang J, Han J, Ji Y. Clinical outcomes and cognitive impairments between progressive supranuclear palsy and multiple system atrophy. Brain Behav 2022; 12:e2827. [PMID: 36409061 PMCID: PMC9759125 DOI: 10.1002/brb3.2827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/14/2022] [Accepted: 11/01/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Both progressive supranuclear palsy (PSP) and multiple system atrophy (MSA) belong to atypical parkinsonian syndromes. It is important to differentiate these diseases accurately. We compared clinical outcomes and cognitive impairments between PSP and MSA. METHODS Eighty-five MSA parkinsonism type (MSA-P) patients and 76 PSP patients participated in this research. The Montreal Cognitive Assessment (MoCA) and the mini-mental state examination (MMSE) evaluated cognitive function. RESULTS MSA-P patients had a significantly higher incidence of dyskinesia, fall, urinary symptoms, and constipation, whereas patients with PSP had a higher incidence of tremor and salivation. MSA-P patients had higher MMSE and MoCA scores than PSP patients. The MMSE score showed a diagnostic cut-off score of 24.5 in PSP versus MSA-P. The MoCA score showed a diagnostic cut-off score of 20.5 in PSP versus MSA-P. CONCLUSION In conclusion, patients with PSP had differences in the clinical outcomes and cognitive impairments compared with MSA-P patients. PSP patients had more severe cognitive deficits. The score of MMSE and MoCA could be used in distinguishing MSA-P from PSP.
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Affiliation(s)
- Peifei Jia
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.,Department of Neurology, The Second Affiliated Hospital of Baotou Medical College, Baotou, China
| | - Jinhong Zhang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.,Department of Neurology, Cangzhou People's Hospital, Cangzhou, Hebei, China
| | - Jiuyan Han
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong Ji
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
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Kinoshita C, Kubota N, Aoyama K. Glutathione Depletion and MicroRNA Dysregulation in Multiple System Atrophy: A Review. Int J Mol Sci 2022; 23:15076. [PMID: 36499400 PMCID: PMC9740333 DOI: 10.3390/ijms232315076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/25/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022] Open
Abstract
Multiple system atrophy (MSA) is a rare neurodegenerative disease characterized by parkinsonism, cerebellar impairment, and autonomic failure. Although the causes of MSA onset and progression remain uncertain, its pathogenesis may involve oxidative stress via the generation of excess reactive oxygen species and/or destruction of the antioxidant system. One of the most powerful antioxidants is glutathione, which plays essential roles as an antioxidant enzyme cofactor, cysteine-storage molecule, major redox buffer, and neuromodulator, in addition to being a key antioxidant in the central nervous system. Glutathione levels are known to be reduced in neurodegenerative diseases. In addition, genes regulating redox states have been shown to be post-transcriptionally modified by microRNA (miRNA), one of the most important types of non-coding RNA. miRNAs have been reported to be dysregulated in several diseases, including MSA. In this review, we focused on the relation between glutathione deficiency, miRNA dysregulation and oxidative stress and their close relation with MSA pathology.
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Affiliation(s)
- Chisato Kinoshita
- Department of Pharmacology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan
| | - Noriko Kubota
- Department of Pharmacology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan
- Teikyo University Support Center for Women Physicians and Researchers, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan
| | - Koji Aoyama
- Department of Pharmacology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan
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Reddy K, Dieriks BV. Multiple system atrophy: α-Synuclein strains at the neuron-oligodendrocyte crossroad. Mol Neurodegener 2022; 17:77. [DOI: 10.1186/s13024-022-00579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/31/2022] [Indexed: 11/28/2022] Open
Abstract
AbstractThe aberrant accumulation of α-Synuclein within oligodendrocytes is an enigmatic, pathological feature specific to Multiple system atrophy (MSA). Since the characterization of the disease in 1969, decades of research have focused on unravelling the pathogenic processes that lead to the formation of oligodendroglial cytoplasmic inclusions. The discovery of aggregated α-Synuclein (α-Syn) being the primary constituent of glial cytoplasmic inclusions has spurred several lines of research investigating the relationship between the pathogenic accumulation of the protein and oligodendrocytes. Recent developments have identified the ability of α-Syn to form conformationally distinct “strains” with varying behavioral characteristics and toxicities. Such “strains” are potentially disease-specific, providing insight into the enigmatic nature of MSA. This review discusses the evidence for MSA-specific α-Syn strains, highlighting the current methods for detecting and characterizing MSA patient-derived α-Syn. Given the differing behaviors of α-Syn strains, we explore the seeding and spreading capabilities of MSA-specific strains, postulating their influence on the aggressive nature of the disease. These ideas culminate into one key question: What causes MSA–specific strain formation? To answer this, we discuss the interplay between oligodendrocytes, neurons and α-Syn, exploring the ability of each cell type to contribute to the aggregate formation while postulating the effect of additional variables such as protein interactions, host characteristics and environmental factors. Thus, we propose the idea that MSA strain formation results from the intricate interrelation between neurons and oligodendrocytes, with deficits in each cell type required to initiate α-Syn aggregation and MSA pathogenesis.
Graphical Abstract
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Hovaguimian A. Dysautonomia. Neurol Clin 2022; 41:193-213. [DOI: 10.1016/j.ncl.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Claassen DO. Multiple System Atrophy. Continuum (Minneap Minn) 2022; 28:1350-1363. [DOI: 10.1212/con.0000000000001154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Li J, Mei S, Zhang X, Wang Y, Jia X, Liu J, Xu E, Mao W, Zhang Y. Case report: Combined therapy of bilateral subthalamic nucleus deep brain stimulation and spinal cord stimulation significantly improves motor function in a patient with multiple system atrophy with predominant parkinsonism. Front Neurosci 2022; 16:929273. [PMID: 35979336 PMCID: PMC9376352 DOI: 10.3389/fnins.2022.929273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple system atrophy with predominant parkinsonism (MSA-P) is a highly incapacitating disease with a short life expectancy and symptomatic therapy is still limited. In this report, we presented the case of a 65-year-old woman with a 3-year history of severe rigidity, bradykinesia, and gait dysfunction alongside severe freezing of gait diagnosed with MSA-P. She underwent combined therapy of bilateral subthalamic nucleus deep brain stimulation (DBS) and low-thoracic spinal cord stimulation (SCS). The double-blind evaluation of the Movement Disorder Society Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III and 7-m Timed Up and Go at follow-ups showed her cardinal parkinsonian symptoms benefit significantly from DBS stimulation, while the improvement of SCS was mainly embodied in lower-limb symptoms. The combined stimulation achieved a better improvement of motor function than either DBS or SCS stimulation alone. Most notably, the improvement of lower-limb symptoms was significantly enhanced by the combined stimulation.
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Affiliation(s)
- Jiping Li
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shanshan Mei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaohua Zhang
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yunpeng Wang
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaofei Jia
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jinlong Liu
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Erhe Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wei Mao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuqing Zhang
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
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Yoo J, Cheon M. Differential diagnosis of patients with atypical Parkinsonian syndrome using 18F-FDG and 18F-FP CIT PET: A report of five cases. Radiol Case Rep 2022; 17:2765-2770. [PMID: 35677703 PMCID: PMC9167875 DOI: 10.1016/j.radcr.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/28/2022] [Accepted: 05/01/2022] [Indexed: 12/04/2022] Open
Abstract
We describe 5 cases of patients who presented atypical parkinsonian syndrome (APS), including gait disturbance, postural instability, decreasing facial expression, dyskinesia, and subjective cognitive impairment. The patients underwent 18F-FP-CIT PET and 18F-FDG PET consecutively for differential diagnosis of APS. Through PET imaging examination, it was possible to offer a suggestive diagnosis and determine individual strategic management for patients with APS.
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Affiliation(s)
- Jang Yoo
- Department of Nuclear Medicine, VHS Medical Center, Seoul 05368, Korea
| | - Miju Cheon
- Department of Nuclear Medicine, VHS Medical Center, Seoul 05368, Korea
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Bagchi AD. Multiple System Atrophy. J Nurse Pract 2022. [DOI: 10.1016/j.nurpra.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Caniça V, Bouça‐Machado R, Rosa MM, Ferreira JJ. Adverse Events of Physiotherapy Interventions in Parkinsonian Patients. Mov Disord Clin Pract 2022; 9:744-750. [PMID: 35937480 PMCID: PMC9346232 DOI: 10.1002/mdc3.13466] [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: 01/19/2022] [Revised: 04/10/2022] [Accepted: 04/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background Physiotherapists have an ethical, professional, and regulatory responsibility for safety in all aspects of patient care. Notwithstanding, the adverse events issue has been inadequately addressed in the rehabilitation research field. Objectives To determine the frequency and characterize the adverse events that occur during or in between physiotherapy sessions for parkinsonian syndromes. Methods An exploratory clinical study was conducted. Physiotherapists were asked to actively report the adverse events that occurred during or between sessions for parkinsonian syndromes. Results A total of 100 patients were enrolled in the study, which resulted in 1845 sessions. The most common adverse events reported were falls, pain/discomfort, and hypotension, with a total of 128 adverse events reported. Conclusions During the physiotherapy sessions, adverse events do occur. Future research should clarify the relationship between AE occurrence and the type of intervention as well as causality and risk-minimization strategies.
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Affiliation(s)
| | - Raquel Bouça‐Machado
- CNS–Campus NeurológicoTorres VedrasPortugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina de LisboaUniversidade de LisboaPortugal
| | - Mário Miguel Rosa
- Instituto de Medicina Molecular João Lobo AntunesLisbonPortugal
- Department of Neuroscience and Mental Health, NeurologyHospital de Santa Maria, Centro Hospitalar Universitário Lisboa NorteLisbonPortugal
| | - Joaquim J. Ferreira
- CNS–Campus NeurológicoTorres VedrasPortugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina de LisboaUniversidade de LisboaPortugal
- Instituto de Medicina Molecular João Lobo AntunesLisbonPortugal
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Just MK, Gram H, Theologidis V, Jensen PH, Nilsson KPR, Lindgren M, Knudsen K, Borghammer P, Van Den Berge N. Alpha-Synuclein Strain Variability in Body-First and Brain-First Synucleinopathies. Front Aging Neurosci 2022; 14:907293. [PMID: 35693346 PMCID: PMC9178288 DOI: 10.3389/fnagi.2022.907293] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/02/2022] [Indexed: 12/15/2022] Open
Abstract
Pathogenic alpha-synuclein (asyn) aggregates are a defining feature of neurodegenerative synucleinopathies, which include Parkinson's disease, Lewy body dementia, pure autonomic failure and multiple system atrophy. Early accurate differentiation between these synucleinopathies is challenging due to the highly heterogeneous clinical profile at early prodromal disease stages. Therefore, diagnosis is often made in late disease stages when a patient presents with a broad range of motor and non-motor symptoms easing the differentiation. Increasing data suggest the clinical heterogeneity seen in patients is explained by the presence of distinct asyn strains, which exhibit variable morphologies and pathological functions. Recently, asyn seed amplification assays (PMCA and RT-QuIC) and conformation-specific ligand assays have made promising progress in differentiating between synucleinopathies in prodromal and advanced disease stages. Importantly, the cellular environment is known to impact strain morphology. And, asyn aggregate pathology can propagate trans-synaptically along the brain-body axis, affecting multiple organs and propagating through multiple cell types. Here, we present our hypothesis that the changing cellular environments, an asyn seed may encounter during its brain-to-body or body-to-brain propagation, may influence the structure and thereby the function of the aggregate strains developing within the different cells. Additionally, we aim to review strain characteristics of the different synucleinopathies in clinical and preclinical studies. Future preclinical animal models of synucleinopathies should investigate if asyn strain morphology is altered during brain-to-body and body-to-brain spreading using these seeding amplification and conformation-specific assays. Such findings would greatly deepen our understanding of synucleinopathies and the potential link between strain and phenotypic variability, which may enable specific diagnosis of different synucleinopathies in the prodromal phase, creating a large therapeutic window with potential future applications in clinical trials and personalized therapeutics.
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Affiliation(s)
- Mie Kristine Just
- Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark
- Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Hjalte Gram
- Department of Biomedicine, DANDRITE-Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus, Denmark
| | - Vasileios Theologidis
- Department of Biomedicine, DANDRITE-Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus, Denmark
| | - Poul Henning Jensen
- Department of Biomedicine, DANDRITE-Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus, Denmark
| | - K. Peter R. Nilsson
- Division of Chemistry, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Mikael Lindgren
- Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway
| | - Karoline Knudsen
- Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark
- Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Per Borghammer
- Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark
- Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Nathalie Van Den Berge
- Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark
- Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
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Pani T, Nayak S. The Non-motor Symptoms, Disability Progression, and Survival Analysis of Atypical Parkinsonism: Case Series from Eastern India and Brief Review of Literature. J Neurosci Rural Pract 2022; 13:276-282. [PMID: 35694072 PMCID: PMC9187423 DOI: 10.1055/s-0042-1744120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
Abstract
Objective The objectives of this study are (1) to describe the non-motor profile, the motor disability progression, and survival analysis of atypical parkinsonism in a tertiary care hospital of eastern India and (2) to elucidate the neurocircuitry and the putative substrates responsible for non-motor manifestations.
Methods In this prospective observational study, patients were diagnosed based on Consensus Criteria for Progressive Supranuclear Palsy (PSP), The Fourth Consensus Report of the Dementia with Lewy Body (DLBD) Consortium 2017, The Autonomic Neuroscience 2018 Criteria for Multiple System Atrophy (MSA), and Armstrong 2013 Criteria for Corticobasal Degeneration (CBD). Disease severity was assessed at baseline and 6 months of follow-up using the Unified Parkinson's Disease Rating Scales (UPDRS). For PSP and MSA, the PSP-Clinical Deficits Scale (PSP-CDS) and the Unified MSA Rating Scale (UMSARS), respectively, were used. Cox regression analysis and the hazard ratio were calculated.
Results Out of 27 patients, the diagnosis was probable PSP in 12, probable MSA in 7, probable CBD in 5, and probable DLBD in 3. Non-motor symptoms were highly prevalent across all subtypes. Motor disability progression as assessed by UPDRS parts 2 and 3 showed significant deterioration over 6-month follow-up across all groups (p < 0.05). Disease progression assessed by PSP-CDS and UMSARS over 6 months was significant (p < 0.05). One PSP and two MSA patients died during a 6-month follow-up period. The hazard ratio in MSA was 3.5 (95% confidence interval: 0.31–0.38) with p = 0.306.
Conclusion Atypical parkinsonian disorders are rare, and usually more severe than idiopathic parkinsonism. As no definitive treatment is available, symptomatic management involving a multidisciplinary team approach must be prioritized.
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Affiliation(s)
- Tapas Pani
- Department of Neurology, SCB Medical College and Hospital, Cuttack, Odisha, India
| | - Soumyadarshan Nayak
- Department of Neurology, SCB Medical College and Hospital, Cuttack, Odisha, India
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Bougea A. MicroRNA as Candidate Biomarkers in Atypical Parkinsonian Syndromes: Systematic Literature Review. Medicina (B Aires) 2022; 58:medicina58040483. [PMID: 35454322 PMCID: PMC9025474 DOI: 10.3390/medicina58040483] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/18/2022] [Accepted: 03/24/2022] [Indexed: 02/06/2023] Open
Abstract
Background and Objectives: Multiple system atrophy (MSA) and progressive supranuclear palsy (PSP) are rare atypical parkinsonian syndromes, characterized by motor and cognitive symptoms. Their clinical diagnosis is challenging because there are no established biomarkers. Dysregulation of microRNAs (miRNAs/miRs) has been reported to serve an important role in neurodegenerative diseases. However, the miRNA profiles of MSA and PSP patients are rarely reported. The aim of this study was to critically review the role of miRNAs as diagnostic biomarkers to differentiate these atypical parkinsonian disorders and their role in disease pathogenesis. Materials and Methods: A systematic literature search of PubMed was conducted up to February 2022 according the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: A total of 15 studies were analyzed. Three studies have shown that miR-9-3p, miR-19a, miR-19b, and miR-24 are potential biomarkers for MSA. In two studies, miR-132 was downregulated, whereas miR-147a and miR-518e were upregulated in the brain tissue of PSP patients. Conclusions: The potential of miRNA is still uncertain as a potential differential diagnostic marker to identify these disorders. Pre-analytical and analytical factors of included studies were important limitations to justify the introduction of miRNAs into clinical practice.
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Affiliation(s)
- Anastasia Bougea
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 72-74 Vassilisis Sofia's Avenue, 11528 Athens, Greece
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Sekiya H, Koga S, Otsuka Y, Chihara N, Ueda T, Sekiguchi K, Yoneda Y, Kageyama Y, Matsumoto R, Dickson DW. Clinical and pathological characteristics of later onset multiple system atrophy. J Neurol 2022; 269:4310-4321. [PMID: 35305144 PMCID: PMC10315173 DOI: 10.1007/s00415-022-11067-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND In the current consensus criteria, onset after age 75 is considered as non-supporting for diagnosis of multiples system atrophy (MSA); however, some MSA patients present after age 75. Clinical and pathological characteristics of such later onset MSA (LO-MSA) compared to usual onset MSA (UO-MSA) remain poorly understood. METHODS The clinical cohort included patients from Kobe University Hospital and Amagasaki General Medical Center Hospital, while the autopsy cohort was from the brain bank at Mayo Clinic Florida. We identified 83 patients in the clinical cohort and 193 patients in the autopsy cohort. We divided MSA into two groups according to age at onset: UO-MSA (≤ 75) and LO-MSA (> 75). We compared clinical features and outcomes between the two groups in the clinical cohort and compared the findings to the autopsy cohort. RESULTS LO-MSA accounted for 8% in the clinical cohort and 5% in the autopsy cohort. The median time from onset to death or to life-saving tracheostomy was significantly shorter in LO-MSA than in UO-MSA in both cohorts (4.8 vs 7.9 years in the clinical cohort and 3.9 vs 7.5 years in the autopsy cohort; P = 0.043 and P < 0.0001, respectively). The median time from diagnosis to death was less than 3 years in LO-MSA in the clinical cohort. CONCLUSIONS Some MSA patients have late age of onset and short survival, limiting time for clinical decision making. MSA should be considered in the differential diagnosis of elderly patients with autonomic symptoms and extrapyramidal and/or cerebellar syndromes.
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Affiliation(s)
- Hiroaki Sekiya
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA. .,Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Yoshihisa Otsuka
- Department of Neurology, Hyogo Prefectural Amagasaki General Medical Center Hospital, Amagasaki, Hyogo, Japan
| | - Norio Chihara
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Takehiro Ueda
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Kenji Sekiguchi
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Yukihiro Yoneda
- Department of Neurology, Hyogo Prefectural Amagasaki General Medical Center Hospital, Amagasaki, Hyogo, Japan
| | - Yasufumi Kageyama
- Department of Neurology, Hyogo Prefectural Amagasaki General Medical Center Hospital, Amagasaki, Hyogo, Japan
| | - Riki Matsumoto
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
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Jellinger KA. Heterogeneity of Multiple System Atrophy: An Update. Biomedicines 2022; 10:599. [PMID: 35327402 PMCID: PMC8945102 DOI: 10.3390/biomedicines10030599] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 02/24/2022] [Accepted: 03/02/2022] [Indexed: 02/04/2023] Open
Abstract
Multiple system atrophy (MSA) is a fatal, rapidly progressing neurodegenerative disease of uncertain etiology, clinically characterized by various combinations of Levodopa unresponsive parkinsonism, cerebellar, autonomic and motor dysfunctions. The morphological hallmark of this α-synucleinopathy is the deposition of aberrant α-synuclein in both glia, mainly oligodendroglia (glial cytoplasmic inclusions /GCIs/) and neurons, associated with glioneuronal degeneration of the striatonigral, olivopontocerebellar and many other neuronal systems. Typical phenotypes are MSA with predominant parkinsonism (MSA-P) and a cerebellar variant (MSA-C) with olivocerebellar atrophy. However, MSA can present with a wider range of clinical and pathological features than previously thought. In addition to rare combined or "mixed" MSA, there is a broad spectrum of atypical MSA variants, such as those with a different age at onset and disease duration, "minimal change" or prodromal forms, MSA variants with Lewy body disease or severe hippocampal pathology, rare forms with an unusual tau pathology or spinal myoclonus, an increasing number of MSA cases with cognitive impairment/dementia, rare familial forms, and questionable conjugal MSA. These variants that do not fit into the current classification of MSA are a major challenge for the diagnosis of this unique proteinopathy. Although the clinical diagnostic accuracy and differential diagnosis of MSA have improved by using combined biomarkers, its distinction from clinically similar extrapyramidal disorders with other pathologies and etiologies may be difficult. These aspects should be taken into consideration when revising the current diagnostic criteria. This appears important given that disease-modifying treatment strategies for this hitherto incurable disorder are under investigation.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150 Vienna, Austria
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45
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Zeng Q, Cui M. Current Progress in the Development of Probes for Targeting α-Synuclein Aggregates. ACS Chem Neurosci 2022; 13:552-571. [PMID: 35167269 DOI: 10.1021/acschemneuro.1c00877] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
α-Synuclein aggregates abnormally into intracellular inclusions in Parkinson's disease (PD), dementia with Lewy bodies (DLB), multiple system atrophy (MSA), and many other neurological disorders, closely connecting with their pathogenesis. The accurate tracking of α-synuclein by targeting probes is of great significance for early diagnosis, disease monitoring, and drug development. However, there have been no promising α-synuclein targeting probes for clinical application reported so far. This overview focuses on various potential α-synuclein targeting probes reported in the past two decades, including small-molecule fluorescent probes and radiolabeled probes. We provide the current status of the development of the small molecular α-synuclein imaging probes, including properties of promising imaging molecules, strategies of processing new probes, limited progress, and growth prospects in this field, expecting to help in the further development of α-synuclein targeting probes.
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Affiliation(s)
- Qi Zeng
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, Beijing Normal University, Beijing 100875, China
| | - Mengchao Cui
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, Beijing Normal University, Beijing 100875, China
- Center for Advanced Materials Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai 519087, China
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Cheng A, Wang YF, Shinoda Y, Kawahata I, Yamamoto T, Jia WB, Yamamoto H, Mizobata T, Kawata Y, Fukunaga K. Fatty acid-binding protein 7 triggers α-synuclein oligomerization in glial cells and oligodendrocytes associated with oxidative stress. Acta Pharmacol Sin 2022; 43:552-562. [PMID: 33935286 PMCID: PMC8888578 DOI: 10.1038/s41401-021-00675-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/31/2021] [Indexed: 02/03/2023] Open
Abstract
We previously show that fatty acid-binding protein 3 (FABP3) triggers α-synuclein (Syn) accumulation and induces dopamine neuronal cell death in Parkinson disease mouse model. But the role of fatty acid-binding protein 7 (FABP7) in the brain remains unclear. In this study we investigated whether FABP7 was involved in synucleinopathies. We showed that FABP7 was co-localized and formed a complex with Syn in Syn-transfected U251 human glioblastoma cells, and treatment with arachidonic acid (100 M) significantly promoted FABP7-induced Syn aggregation, which was associated with cell death. We demonstrated that synthetic FABP7 ligand 6 displayed a high affinity against FABP7 with Kd value of 209 nM assessed in 8-anilinonaphthalene-1-sulfonic acid (ANS) assay; ligand 6 improved U251 cell survival via disrupting the FABP7-Syn interaction. We showed that activation of phospholipase A2 (PLA2) by psychosine (10 M) triggered oligomerization of endogenous Syn and FABP7, and induced cell death in both KG-1C human oligodendroglia cells and oligodendrocyte precursor cells (OPCs). FABP7 ligand 6 (1 M) significantly decreased Syn oligomerization and aggregation thereby prevented KG-1C and OPC cell death. This study demonstrates that FABP7 triggers α-synuclein oligomerization through oxidative stress, while FABP7 ligand 6 can inhibit FABP7-induced Syn oligomerization and aggregation, thereby rescuing glial cells and oligodendrocytes from cell death.
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Affiliation(s)
- An Cheng
- grid.69566.3a0000 0001 2248 6943Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Yi-fei Wang
- grid.69566.3a0000 0001 2248 6943Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Yasuharu Shinoda
- grid.69566.3a0000 0001 2248 6943Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Ichiro Kawahata
- grid.69566.3a0000 0001 2248 6943Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Tetsunori Yamamoto
- grid.69566.3a0000 0001 2248 6943Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Wen-bin Jia
- grid.69566.3a0000 0001 2248 6943Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Hanae Yamamoto
- grid.265107.70000 0001 0663 5064Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, Tottori, Japan
| | - Tomohiro Mizobata
- grid.265107.70000 0001 0663 5064Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, Tottori, Japan
| | - Yasushi Kawata
- grid.265107.70000 0001 0663 5064Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, Tottori, Japan
| | - Kohji Fukunaga
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
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Cedergren Weber G, Odin P. Diagnostic work up: Laboratory and biomarkers. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2022; 162:53-96. [PMID: 35397789 DOI: 10.1016/bs.irn.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This chapter will focus on the diagnostic work around sexual dysfunction in Parkinson's disease, especially laboratory tests and biomarkers. A number of methods to analyze if sexual dysfunction is caused by neural pathology, vascular dysfunction or other mechanisms are now available. Other methods can be used to differentiate between psychogenic/functional reasons behind sexual dysfunction and organic ones. The role of biomarkers for diagnosis, but also for understanding the reason behind and for counteracting sexual dysfunction is becoming more evident. There is also a rich and increasing number of scales and other instruments available for detecting and quantifying sexual hypo- and hyperactivity. When investigating the reason behind sexual dysfunction in patients with Parkinson's disease comorbidities should also be considered. Finally, early and pronounced sexual dysfunction might in some cases be an indication that differential diagnosis, like Multisystem Atrophy, should be thought about. All these aspects of the diagnostic procedures around sexual dysfunction in Parkinson's disease will be covered in this chapter.
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Affiliation(s)
- Gustav Cedergren Weber
- Division of Neurology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
| | - Per Odin
- Division of Neurology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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48
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Passive Immunization in Alpha-Synuclein Preclinical Animal Models. Biomolecules 2022; 12:biom12020168. [PMID: 35204668 PMCID: PMC8961624 DOI: 10.3390/biom12020168] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/07/2022] [Accepted: 01/15/2022] [Indexed: 12/20/2022] Open
Abstract
Alpha-synucleinopathies include Parkinson’s disease, dementia with Lewy bodies, pure autonomic failure and multiple system atrophy. These are all progressive neurodegenerative diseases that are characterized by pathological misfolding and accumulation of the protein alpha-synuclein (αsyn) in neurons, axons or glial cells in the brain, but also in other organs. The abnormal accumulation and propagation of pathogenic αsyn across the autonomic connectome is associated with progressive loss of neurons in the brain and peripheral organs, resulting in motor and non-motor symptoms. To date, no cure is available for synucleinopathies, and therapy is limited to symptomatic treatment of motor and non-motor symptoms upon diagnosis. Recent advances using passive immunization that target different αsyn structures show great potential to block disease progression in rodent studies of synucleinopathies. However, passive immunotherapy in clinical trials has been proven safe but less effective than in preclinical conditions. Here we review current achievements of passive immunotherapy in animal models of synucleinopathies. Furthermore, we propose new research strategies to increase translational outcome in patient studies, (1) by using antibodies against immature conformations of pathogenic αsyn (monomers, post-translationally modified monomers, oligomers and protofibrils) and (2) by focusing treatment on body-first synucleinopathies where damage in the brain is still limited and effective immunization could potentially stop disease progression by blocking the spread of pathogenic αsyn from peripheral organs to the brain.
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49
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Kauppila LA, Ten Holter SE, van de Warrenburg B, Bloem BR. A Guide for the Differential Diagnosis of Multiple System Atrophy in Clinical Practice. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2015-2027. [PMID: 36057832 PMCID: PMC9661336 DOI: 10.3233/jpd-223392] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
Multiple system atrophy (MSA) is a sporadic and progressive neurodegenerative disorder with a complex differential diagnosis. A range of disorders- also of nondegenerative etiology- can mimic MSA, expanding its differential diagnosis. Both misdiagnosis and diagnostic delays are relatively common in clinical practice. A correct diagnosis is vital for daily clinical practice, in order to facilitate proper counselling and to timely install therapies in treatable disorders that mimic MSA. A correct diagnosis is also essential for including properly classified individuals into research studies that aim to better understand the pathophysiology of MSA, to develop specific biomarkers or to evaluate novel symptomatic or disease-modifying therapies. Here, we offer some practical guidance to support the diagnostic process, by highlighting conditions that may be considered as MSA lookalikes, by emphasizing some key clinical aspects of these mimics, and by discussing several useful ancillary diagnostic tests.
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Affiliation(s)
- Linda Azevedo Kauppila
- CNS – Campus Neurológico, Lisbon, Portugal
- Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Susanne E.M. Ten Holter
- Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Bart van de Warrenburg
- Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Bastiaan R. Bloem
- Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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50
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Cheng A, Fukunaga K. [Role of fatty acid-binding protein 7 and novel therapeutic approach in synucleinopathies]. Nihon Yakurigaku Zasshi 2022; 157:396-400. [PMID: 36328545 DOI: 10.1254/fpj.22056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The synucleinopathies are neurodegenerative disease caused by abnormal accumulation of the 140-amino acid-containing protein α-synuclein (αSyn), including Parkinson's disease (PD), diffuse Lewy body dementia (DLBD), and multiple system atrophy (MSA). In patients with PD and DLBD, αSyn is misfolded in neurons, and its aggregation forms Lewy bodies (LB) and Lewy neurites (LN). On the other hand, in patients with MSA, αSyn accumulates primarily in oligodendrocytes (OLGs) and forms glial inclusion bodies (GCIs), a typical pathological feature of MSA. We recently demonstrated a making complex between αSyn and fatty acid-binding proteins (FABPs) in synucleinopathies and received wide attention. Fatty acid-binding protein 3 (FABP3) in dopamine nerves, and fatty acid-binding protein 7 (FABP7) in glial cells promoted αSyn accumulation and aggregation, respectively and caused cell death. Here, we introduced the current studies about the role of αSyn and FABP7 in MSA and novel therapeutic approach targeting for FABP7.
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Affiliation(s)
- An Cheng
- Department of CNS drug innovation, Graduate School of Pharmaceutical Sciences, Tohoku University
| | - Kohji Fukunaga
- Department of CNS drug innovation, Graduate School of Pharmaceutical Sciences, Tohoku University
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