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Sian-Hulsmann J, Riederer P. The 'α-synucleinopathy syndicate': multiple system atrophy and Parkinson's disease. J Neural Transm (Vienna) 2024; 131:585-595. [PMID: 37227594 PMCID: PMC11192696 DOI: 10.1007/s00702-023-02653-2] [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: 03/17/2023] [Accepted: 05/12/2023] [Indexed: 05/26/2023]
Abstract
Multiple System Atrophy (MSA) and Parkinson's diseases (PD) are elite members of the α-synucleinopathy organization. Aberrant accumulations of the protein α-synuclein characterize them. A plethora of evidence indicates the involvement of these rogue inclusions in a cascade of events that disturb cellular homeostasis resulting in neuronal dysfunction. These two neurodegenerative diseases share many features both clinically and pathologically. Cytotoxic processes commonly induced by reactive free radical species have been associated with oxidative stress and neuroinflammation, frequently reported in both diseases. However, it appears they have characteristic and distinct α-synuclein inclusions. It is glial cytoplasmic inclusions in the case of MSA while Lewy bodies manifest in PD. This is probably related to the etiology of the illness. At present, precise mechanism(s) underlying the characteristic configuration of neurodegeneration are unclear. Furthermore, the "prion-like" transmission from cell to cell prompts the suggestion that perhaps these α-synucleinopathies are prion-like diseases. The possibility of some underlying genetic foul play remains controversial. But as major culprits of pathological processes or even single triggers of PD and MSA are the same-like oxidative stress, iron-induced pathology, mitochondriopathy, loss of respiratory activity, loss of proteasomal function, microglial activation, neuroinflammation-it is not farfetched to assume that in sporadic PD and also in MSA a variety of combinations of susceptibility genes contribute to the regional specificity of pathological onset. These players of pathology, as mentioned above, in a synergistic combination, are responsible for driving the progression of PD, MSA and other neurodegenerative disorders. Elucidating the triggers and progression factors is vital for advocating disease modification or halting its progression in both, MSA and PD.
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Affiliation(s)
| | - Peter Riederer
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany.
- Department of Psychiatry, University of Southern Denmark Odense, J.B. Winslows Vey 18, 5000, Odense, Denmark.
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Carmona-Abellan M, Del Pino R, Murueta-Goyena A, Acera M, Tijero B, Berganzo K, Gabilondo I, Gómez-Esteban JC. Multiple system atrophy: Clinical, evolutive and histopathological characteristics of a series of cases. Neurologia 2023; 38:609-616. [PMID: 37996211 DOI: 10.1016/j.nrleng.2021.04.008] [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: 12/02/2020] [Accepted: 04/06/2021] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Multiple system atrophy is a rare and fatal neurodegenerative disorder, characterized by autonomic dysfunction in association with either parkinsonism or cerebellar signs. The pathologic hallmark is the presence of alpha-synuclein aggregates in oligodendrocytes, forming glial cytoplasmic inclusions. Clinically, it may be difficult to distinguish form other parkinsonisms or ataxias, particularly in the early stages of the disease. In this case series we aim to describe in detail the features of MSA patients. MATERIAL AND METHODS Unified MSA Rating Scale (UMSARS) score, structural and functional imaging and cardiovascular autonomic testing, are summarized since early stages of the disease. RESULTS UMSARS proved to be useful to perform a follow-up being longitudinal examination essential to stratify risk of poor outcome. Neuropathological diagnosis showed an overlap between parkinsonian and cerebellar subtypes, with some peculiarities that could help to distinguish from other subtypes. CONCLUSION A better description of MSA features with standardized test confirmed by means of neuropathological studies could help to increase sensitivity.
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Affiliation(s)
- M Carmona-Abellan
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain.
| | - R Del Pino
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain
| | - A Murueta-Goyena
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain
| | - M Acera
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain
| | - B Tijero
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain; Hospital Universitario de Cruces, Barakaldo, Bizkaia, Spain
| | - K Berganzo
- Hospital Universitario de Basurto, Bilbao, Bizkaia, Spain
| | - I Gabilondo
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain; Hospital Universitario de Cruces, Barakaldo, Bizkaia, Spain; Ikerbasque, The Basque Foundation for Science, Spain
| | - J C Gómez-Esteban
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain; Hospital Universitario de Cruces, Barakaldo, Bizkaia, Spain
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3
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Jellinger KA. Mild cognitive impairment in multiple system atrophy: a brain network disorder. J Neural Transm (Vienna) 2023; 130:1231-1240. [PMID: 37581647 DOI: 10.1007/s00702-023-02682-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: 06/23/2023] [Accepted: 08/02/2023] [Indexed: 08/16/2023]
Abstract
Cognitive impairment (CI), previously considered as a non-supporting feature of multiple system atrophy (MSA), according to the second consensus criteria, is not uncommon in this neurodegenerative disorder that is clinically characterized by a variable combination of autonomic failure, levodopa-unresponsive parkinsonism, motor and cerebellar signs. Mild cognitive impairment (MCI), a risk factor for dementia, has been reported in up to 44% of MSA patients, with predominant impairment of executive functions/attention, visuospatial and verbal deficits, and a variety of non-cognitive and neuropsychiatric symptoms. Despite changing concept of CI in this synucleinopathy, the underlying pathophysiological mechanisms remain controversial. Recent neuroimaging studies revealed volume reduction in the left temporal gyrus, and in the dopaminergic nucleus accumbens, while other morphometric studies did not find any gray matter atrophy, in particular in the frontal cortex. Functional analyses detected decreased functional connectivity in the left parietal lobe, bilateral cuneus, left precuneus, limbic structures, and cerebello-cerebral circuit, suggesting that structural and functional changes in the subcortical limbic structures and disrupted cerebello-cerebral networks may be associated with early cognitive decline in MSA. Whereas moderate to severe CI in MSA in addition to prefrontal-striatal degeneration is frequently associated with cortical Alzheimer and Lewy co-pathologies, neuropathological studies of the MCI stage of MSA are unfortunately not available. In view of the limited structural and functional findings in MSA cases with MCI, further neuroimaging and neuropathological studies are warranted in order to better elucidate its pathophysiological mechanisms and to develop validated biomarkers as basis for early diagnosis and future adequate treatment modalities in order to prevent progression of this debilitating disorder.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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4
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Feng X, Zhao L, Chen Y, Wang Z, Lu H, Wang C. Optimal type and dose of hypoxic training for improving maximal aerobic capacity in athletes: a systematic review and Bayesian model-based network meta-analysis. Front Physiol 2023; 14:1223037. [PMID: 37745240 PMCID: PMC10513096 DOI: 10.3389/fphys.2023.1223037] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/17/2023] [Indexed: 09/26/2023] Open
Abstract
Objective: This study aimed to compare and rank the effect of hypoxic practices on maximum oxygen consumption (VO2max) in athletes and determine the hypoxic dose-response correlation using network meta-analysis. Methods: The Web of Science, PubMed, EMBASE, and EBSCO databases were systematically search for randomized controlled trials on the effect of hypoxc interventions on the VO2max of athletes published from inception until 21 February 2023. Studies that used live-high train-high (LHTH), live-high train-low (LHTL), live-high, train-high/low (HHL), intermittent hypoxic training (IHT), and intermittent hypoxic exposure (IHE) interventions were primarily included. LHTL was further defined according to the type of hypoxic environment (natural and simulated) and the altitude of the training site (low altitude and sea level). A meta-analysis was conducted to determine the standardized mean difference between the effects of various hypoxic interventions on VO2max and dose-response correlation. Furthermore, the hypoxic dosage of the different interventions were coordinated using the "kilometer hour" model. Results: From 2,072 originally identified titles, 59 studies were finally included in this study. After data pooling, LHTL, LHTH, and IHT outperformed normoxic training in improving the VO2max of athletes. According to the P-scores, LHTL combined with low altitude training was the most effective intervention for improving VO2max (natural: 0.92 and simulated: 0.86) and was better than LHTL combined with sea level training (0.56). A reasonable hypoxic dose range for LHTH (470-1,130 kmh) and HL (500-1,415 kmh) was reported with an inverted U-shaped curve relationship. Conclusion: Different types of hypoxic training compared with normoxic training serve as significant approaches for improving aerobic capacity in athletes. Regardless of the type of hypoxic training and the residential condition, LHTL with low altitude training was the most effective intervention. The characteristics of the dose-effect correlation of LHTH and LHTL may be associated with the negative effects of chronic hypoxia.
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Affiliation(s)
- Xinmiao Feng
- Sports Coaching College, Beijing Sports University, Beijing, China
| | - Linlin Zhao
- Sports Coaching College, Beijing Sports University, Beijing, China
| | | | - Zihao Wang
- Capital Institute of Physical Education and Sports, Beijing, Beijing, China
| | - Hongyuan Lu
- Sports Coaching College, Beijing Sports University, Beijing, China
| | - Chuangang Wang
- Sports Coaching College, Beijing Sports University, Beijing, China
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Guo Y, Shen XN, Huang SY, Chen SF, Wang HF, Zhang W, Zhang YR, Cheng W, Cui M, Dong Q, Yu JT. Head-to-head comparison of 6 plasma biomarkers in early multiple system atrophy. NPJ Parkinsons Dis 2023; 9:40. [PMID: 36922526 PMCID: PMC10017699 DOI: 10.1038/s41531-023-00481-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
There is a dire need for reliable biomarkers to solidify an early and accurate diagnosis of multiple system atrophy (MSA). We sought to compare the ability of emerging plasma markers in distinguishing MSA from its mimics and healthy controls in early disease stages, and to evaluate their performance in detecting disease severity and brain atrophy. Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), phosphorylated tau181, amyloid-β (Aβ)42, and Aβ40 were measured using ultrasensitive Simoa in early-stage patients with MSA (n = 73), spinocerebellar ataxia (SCA, n = 29), Parkinson's disease (PD, n = 28), and healthy controls (n = 100). We observed that elevated NfL outperformed other biomarkers in distinguishing MSA and its subtypes (AUC = 0.9) versus controls. Intriguingly, when separating MSA from its mimics, increased GFAP (AUC = 0.717) in MSA-C and decreased Aβ40 (AUC = 0.807) in MSA-P best discriminated from SCA and PD respectively. Plasma levels were comparable between MSA-C and MSA-P and the differentiation by plasma index alone was poor. Combining plasma markers noticeably improved the discriminatory efficacy. Of note, among MSA patients, higher GFAP and NfL were correlated with the atrophy of brain regions vulnerable to MSA (e.g., cerebellum, pons, or putamen). They could also aggravate the severity of MSA, and this association was partially mediated by cerebral volumes. In contrast, no obvious associations of phosphorylated tau and Aβ with disease severity were observed. Collectively, plasma biomarkers, especially in combination, are useful to facilitate the discriminatory work-up of MSA at early stages. Moreover, NfL and GFAP may be promising biomarkers to monitor the disease severity of MSA.
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Affiliation(s)
- Yu Guo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xue-Ning Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shu-Yi Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shu-Fen Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hui-Fu Wang
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Wei Zhang
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.,The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.,Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China
| | - Mei Cui
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
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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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Jellinger KA. Morphological differences between the two major subtypes of multiple system atrophy with cognitive impairment. Parkinsonism Relat Disord 2023; 107:105273. [PMID: 36603328 DOI: 10.1016/j.parkreldis.2022.105273] [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: 08/23/2022] [Revised: 11/17/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To compare the neuropathology between two types of multiple system atrophy - parkinsonism-predominant (MSA-P) and cerebellar ataxia-predominant (MSA-C) with cognitive impairment. MATERIAL & METHODS 35 cases of MSA-P (mean age at death 60.5 ± 7.8 years) and 15 cases of MSA-C (mean age at death 61.3 ± 6.8 years), 35.% of which associated with mild to moderate cognitive impairment and one with severe dementia, were examined neuropathologically with semiquantitative evaluation of both α-synuclein and Alzheimer pathologies, including cerebral amyloid angiopathy (CAA) and other co-pathologies. RESULTS While the mean age at death of both MSA subgroups was similar, the age at onset and duration of disease were slightly higher in the MSA-C group. In line with the classification, the αSyn pathology glial and neuronal inclusions in both the cortex and brainstem were significantly higher in the MSA-P group. With regard to the Alzheimer disease pathology, tau load in cases with mild to moderate cognitive impairment was slightly but not significantly higher in the MSA-P group, one with severe dementia showing fully developed Alzheimer co-pathology, while the amyloid-β (Aβ) load including the CAA was higher in the MSA-C group. The presence of Lewy co-pathology in this series (20%), being similar to that of other MSA cohorts, was more frequent in MSA cases with mild to severe cognitive impairment, but did not differ between the two subgroups and seems not essentially important for MCI in MSA. CONCLUSIONS In agreement with previous clinical studies that reported more severe cognitive dysfunction in patients with MSA-P, the present neuropathological study showed increased tau pathology in MSA-P and one with severe Alzheimer co-pathology, but only slightly increased amyloid pathology in the MSA-C group. Lewy co-pathology was more frequent in MSA-P cases with cognitive decline. In view of the limited data about the pathobiological basis of cognitive impairment in MSA, further studies to elucidate the differences between the two phenotypes are urgently needed.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150, Vienna, Austria.
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COVID-19 pandemic and the international classification of functioning in multiple system atrophy: a cross-sectional, nationwide survey in Japan. Sci Rep 2022; 12:14163. [PMID: 35986084 PMCID: PMC9389480 DOI: 10.1038/s41598-022-18533-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 08/16/2022] [Indexed: 02/08/2023] Open
Abstract
AbstractThe present study aimed to determine the magnitude of and risk factors for the effects of the COVID-19 pandemic on the international classification of functioning, disability and health (ICF) in patients with multiple system atrophy (PwMSA). The study was part of a cross-sectional, nationwide, multipurpose mail survey for Japanese PwMSA from October to December, 2020. The primary outcome was the impact of the early COVID-19 pandemic on ICF functioning, consisting of body function, activity, and participation. Age, sex, disease type, disease duration, and dwelling place were asked as participants’ characteristics, and the multiple system impairment questionnaire (MSIQ), patient health questionnaire-2, modified rankin scale, barthel index, life-space assessment (LSA), and EuroQoL were examined. Multivariate logistic regression analyses were performed to identify independent risk factors for a worse function score due to the COVID-19 pandemic for each ICF functioning domain. A total of 155 patients (mean age 65.6 [SD 8.1] years; 43.9% women; mean disease duration 8.0 [SD 6.2] years; 65% MSA with cerebellar ataxia, 13% MSA with parkinsonism, 9% MSA with predominant autonomic features) were analyzed. Of the ICF functioning domains, the respondents reported that the early COVID-19 pandemic affected body function in 17.4%, activity in 17.6%, and participation in 46.0%. The adjusted multivariate model identified MSIQ and LSA as the two variables that independently contributed to all domains. The COVID-19 pandemic affected ICF functioning of PwMSA in Japan, and the severity of disease-related impairments and a large daily living space were common risk factors. These results help support the focus on patient characteristics for medical and social welfare support.
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Heterogeneity of Multiple System Atrophy: An Update. Biomedicines 2022; 10:biomedicines10030599. [PMID: 35327402 PMCID: PMC8945102 DOI: 10.3390/biomedicines10030599] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [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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10
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Carmona-Abellan M, Del Pino R, Murueta-Goyena A, Acera M, Tijero B, Berganzo K, Gabilondo I, Gómez-Esteban JC. Multiple system atrophy: Clinical, evolutive and histopathological characteristics of a series of cases. Neurologia 2021; 38:S0213-4853(21)00073-6. [PMID: 34052041 DOI: 10.1016/j.nrl.2021.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/12/2021] [Accepted: 04/06/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Multiple system atrophy is a rare and fatal neurodegenerative disorder, characterized by autonomic dysfunction in association with either parkinsonism or cerebellar signs. The pathologic hallmark is the presence of alpha-synuclein aggregates in oligodendrocytes, forming glial cytoplasmic inclusions. Clinically, it may be difficult to distinguish form other parkinsonisms or ataxias, particularly in the early stages of the disease. In this case series we aim to describe in detail the features of MSA patients. MATERIAL AND METHODS Unified MSA Rating Scale (UMSARS) score, structural and functional imaging and cardiovascular autonomic testing, are summarized since early stages of the disease. RESULTS UMSARS proved to be useful to perform a follow-up being longitudinal examination essential to stratify risk of poor outcome. Neuropathological diagnosis showed an overlap between parkinsonian and cerebellar subtypes, with some peculiarities that could help to distinguish from other subtypes. CONCLUSION A better description of MSA features with standardized test confirmed by means of neuropathological studies could help to increase sensitivity.
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Affiliation(s)
- M Carmona-Abellan
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain.
| | - R Del Pino
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain
| | - A Murueta-Goyena
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain
| | - M Acera
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain
| | - B Tijero
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain; Hospital Universitario de Cruces, Barakaldo, Bizkaia, Spain
| | - K Berganzo
- Hospital Universitario de Basurto, Bilbao, Bizkaia, Spain
| | - I Gabilondo
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain; Hospital Universitario de Cruces, Barakaldo, Bizkaia, Spain; Ikerbasque, The Basque Foundation for Science, Spain
| | - J C Gómez-Esteban
- Neurodegenerative Diseases Division, Health Research Institute Biocruces, Barakaldo, Bizkaia, Spain; Hospital Universitario de Cruces, Barakaldo, Bizkaia, Spain
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Mood and emotional disorders associated with parkinsonism, Huntington disease, and other movement disorders. HANDBOOK OF CLINICAL NEUROLOGY 2021; 183:175-196. [PMID: 34389117 DOI: 10.1016/b978-0-12-822290-4.00015-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
This chapter provides a review of mood, emotional disorders, and emotion processing deficits associated with diseases that cause movement disorders, including Parkinson's disease, Lewy body dementia, multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, frontotemporal dementia with parkinsonism, Huntington's disease, essential tremor, dystonia, and tardive dyskinesia. For each disorder, a clinical description of the common signs and symptoms, disease progression, and epidemiology is provided. Then the mood and emotional disorders associated with each of these diseases are described and discussed in terms of clinical presentation, incidence, prevalence, and alterations in quality of life. Alterations of emotion communication, such as affective speech prosody and facial emotional expression, associated with these disorders are also discussed. In addition, if applicable, deficits in gestural and lexical/verbal emotion are reviewed. Throughout the chapter, the relationships among mood and emotional disorders, alterations of emotional experiences, social communication, and quality of life, as well as treatment, are emphasized.
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Chelban V, Catereniuc D, Aftene D, Gasnas A, Vichayanrat E, Iodice V, Groppa S, Houlden H. An update on MSA: premotor and non-motor features open a window of opportunities for early diagnosis and intervention. J Neurol 2020; 267:2754-2770. [PMID: 32436100 PMCID: PMC7419367 DOI: 10.1007/s00415-020-09881-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 04/29/2020] [Accepted: 04/30/2020] [Indexed: 01/27/2023]
Abstract
In this review, we describe the wide clinical spectrum of features that can be seen in multiple system atrophy (MSA) with a focus on the premotor phase and the non-motor symptoms providing an up-to-date overview of the current understanding in this fast-growing field. First, we highlight the non-motor features at disease onset when MSA can be indistinguishable from pure autonomic failure or other chronic neurodegenerative conditions. We describe the progression of clinical features to aid the diagnosis of MSA early in the disease course. We go on to describe the levels of diagnostic certainty and we discuss MSA subtypes that do not fit into the current diagnostic criteria, highlighting the complexity of the disease as well as the need for revised diagnostic tools. Second, we describe the pathology, clinical description, and investigations of cardiovascular autonomic failure, urogenital and sexual dysfunction, orthostatic hypotension, and respiratory and REM-sleep behavior disorders, which may precede the motor presentation by months or years. Their presence at presentation, even in the absence of ataxia and parkinsonism, should be regarded as highly suggestive of the premotor phase of MSA. Finally, we discuss how the recognition of the broader spectrum of clinical features of MSA and especially the non-motor features at disease onset represent a window of opportunity for disease-modifying interventions.
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Affiliation(s)
- Viorica Chelban
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
- Neurobiology and Medical Genetics Laboratory, "Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova.
| | - Daniela Catereniuc
- Neurobiology and Medical Genetics Laboratory, "Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova
- Department of Neurology, Epileptology and Internal Diseases, Institute of Emergency Medicine, 1, Toma Ciorba Street, 2004, Chişinău, Republic of Moldova
- Department of Neurology nr. 2, Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova
| | - Daniela Aftene
- Department of Neurology, Epileptology and Internal Diseases, Institute of Emergency Medicine, 1, Toma Ciorba Street, 2004, Chişinău, Republic of Moldova
- Department of Neurology nr. 2, Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova
| | - Alexandru Gasnas
- Department of Neurology, Epileptology and Internal Diseases, Institute of Emergency Medicine, 1, Toma Ciorba Street, 2004, Chişinău, Republic of Moldova
- Department of Neurology nr. 2, Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova
- Cerebrovascular Diseases and Epilepsy Laboratory, Institute of Emergency Medicine, 1, Toma Ciorba Street, 2004, Chişinău, Republic of Moldova
| | - Ekawat Vichayanrat
- Autonomic Unit, National Hospital for Neurology and Neurosurgery, UCL NHS Trust, London, WC1N 3BG, UK
| | - Valeria Iodice
- Autonomic Unit, National Hospital for Neurology and Neurosurgery, UCL NHS Trust, London, WC1N 3BG, UK
| | - Stanislav Groppa
- Neurobiology and Medical Genetics Laboratory, "Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova
- Department of Neurology, Epileptology and Internal Diseases, Institute of Emergency Medicine, 1, Toma Ciorba Street, 2004, Chişinău, Republic of Moldova
- Department of Neurology nr. 2, Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, 2004, Chişinău, Republic of Moldova
| | - Henry Houlden
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- Neurogenetics Laboratory, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
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Jellinger KA. Neuropathological findings in multiple system atrophy with cognitive impairment. J Neural Transm (Vienna) 2020; 127:1031-1039. [PMID: 32367182 DOI: 10.1007/s00702-020-02201-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 04/26/2020] [Indexed: 01/10/2023]
Abstract
Cognitive impairment (CI), previously considered an exclusion criterium for the diagnosis of multiple system atrophy (MSA) according to the second consensus criteria, is not uncommon in MSA. Mild cognitive impairment (MCI) has been reported in up to 47% of MSA patients, while severe dementia is rare. We related clinical CI with neuropathological findings in 48 autopsy-proven cases of MSA. This retrospective study included 33 parkinsonism predominant MSA (MSA-P), and 15 cerebellar ataxia-predominant MSA (MSA-C) cases (mean age at death 60.5 ± 7.8; range 46-82 years). Cognitive state was assessed from hospital charts, however, without comprehensive neuropsychological testing. Neuropathological examination, in addition to grading of the MSA pathologies, included semiquantitative assessment of Lewy and Alzheimer-related co-pathologies. Their incidence was compared with 143 age-matched controls (mean age 60.5 ± 7.6 years). MCI reported in ten cases (20.8%) was associated with moderate cortical tau pathology in only three; moderate CI in seven patients (14.5%) was associated with cortical amyloid plaques and moderate cortical tau pathology in six each, and one with probable primary age-related tauopathy (PART); a female aged 82 years with severe dementia showed fully developed Alzheimer disease. Cortical amyloid plaques, observed in eight cases, three of them without tau pathology, were associated with clinical MCI, as was cortical Lewy pathology in five. Two cases with cortical Lewy pathology and neuritic Braak stages II and III, and three with Braak stage IV, without cortical Lewy bodies, had shown moderate CI. Cortical Lewy pathology observed in four cases was not associated with clinical CI. 77.1% of the MSA cases were free of Alzheimer-type lesions, compared to 42% of controls; while Lewy pathology in the MSA cohort (22.9%) was significantly higher than in the control group (8.4%) both p < 0.001. Mild-to-moderate CI, reported in 35.3% of MSA patients, being significantly older than those without CI, were frequently associated with cortical Alzheimer (Braak stages III and IV) and Lewy pathologies, while only one with severe dementia had fully developed Alzheimer disease. In view of these findings in a limited series of MSA patients, further studies to elucidate the pathological basis of cognitive impairment in MSA are warranted.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Heras-Garvin A, Stefanova N. MSA: From basic mechanisms to experimental therapeutics. Parkinsonism Relat Disord 2020; 73:94-104. [PMID: 32005598 DOI: 10.1016/j.parkreldis.2020.01.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 01/14/2020] [Accepted: 01/19/2020] [Indexed: 01/16/2023]
Abstract
Multiple system atrophy (MSA) is a rare and fatal neurodegenerative disorder characterized by rapidly progressive autonomic and motor dysfunction. Pathologically, MSA is mainly characterized by the abnormal accumulation of misfolded α-synuclein in the cytoplasm of oligodendrocytes, which plays a major role in the pathogenesis of the disease. Striatonigral degeneration and olivopontecerebellar atrophy underlie the motor syndrome, while degeneration of autonomic centers defines the autonomic failure in MSA. At present, there is no treatment that can halt or reverse its progression. However, over the last decade several studies in preclinical models and patients have helped to better understand the pathophysiological events underlying MSA. The etiology of this fatal disorder remains unclear and may be multifactorial, caused by a combination of factors which may serve as targets for novel therapeutic approaches. In this review, we summarize the current knowledge about the etiopathogenesis and neuropathology of MSA, its different preclinical models, and the main disease modifying therapies that have been used so far or that are planned for future clinical trials.
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Affiliation(s)
- Antonio Heras-Garvin
- Division of Neurobiology, Department of Neurology, Medical University of Innsbruck, Austria.
| | - Nadia Stefanova
- Division of Neurobiology, Department of Neurology, Medical University of Innsbruck, Austria.
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Jellinger KA. Animal models of synucleinopathies and how they could impact future drug discovery and delivery efforts. Expert Opin Drug Discov 2019; 14:969-982. [DOI: 10.1080/17460441.2019.1638908] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Jellinger KA. Neuropathology and pathogenesis of extrapyramidal movement disorders: a critical update-I. Hypokinetic-rigid movement disorders. J Neural Transm (Vienna) 2019; 126:933-995. [PMID: 31214855 DOI: 10.1007/s00702-019-02028-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 06/05/2019] [Indexed: 02/06/2023]
Abstract
Extrapyramidal movement disorders include hypokinetic rigid and hyperkinetic or mixed forms, most of them originating from dysfunction of the basal ganglia (BG) and their information circuits. The functional anatomy of the BG, the cortico-BG-thalamocortical, and BG-cerebellar circuit connections are briefly reviewed. Pathophysiologic classification of extrapyramidal movement disorder mechanisms distinguish (1) parkinsonian syndromes, (2) chorea and related syndromes, (3) dystonias, (4) myoclonic syndromes, (5) ballism, (6) tics, and (7) tremor syndromes. Recent genetic and molecular-biologic classifications distinguish (1) synucleinopathies (Parkinson's disease, dementia with Lewy bodies, Parkinson's disease-dementia, and multiple system atrophy); (2) tauopathies (progressive supranuclear palsy, corticobasal degeneration, FTLD-17; Guamian Parkinson-dementia; Pick's disease, and others); (3) polyglutamine disorders (Huntington's disease and related disorders); (4) pantothenate kinase-associated neurodegeneration; (5) Wilson's disease; and (6) other hereditary neurodegenerations without hitherto detected genetic or specific markers. The diversity of phenotypes is related to the deposition of pathologic proteins in distinct cell populations, causing neurodegeneration due to genetic and environmental factors, but there is frequent overlap between various disorders. Their etiopathogenesis is still poorly understood, but is suggested to result from an interaction between genetic and environmental factors. Multiple etiologies and noxious factors (protein mishandling, mitochondrial dysfunction, oxidative stress, excitotoxicity, energy failure, and chronic neuroinflammation) are more likely than a single factor. Current clinical consensus criteria have increased the diagnostic accuracy of most neurodegenerative movement disorders, but for their definite diagnosis, histopathological confirmation is required. We present a timely overview of the neuropathology and pathogenesis of the major extrapyramidal movement disorders in two parts, the first one dedicated to hypokinetic-rigid forms and the second to hyperkinetic disorders.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Du JJ, Wang T, Huang P, Cui S, Gao C, Lin Y, Fu R, Zhou H, Chen S. Clinical characteristics and quality of life in Chinese patients with multiple system atrophy. Brain Behav 2018; 8:e01135. [PMID: 30378279 PMCID: PMC6305933 DOI: 10.1002/brb3.1135] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Revised: 09/14/2018] [Accepted: 09/17/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Multiple system atrophy (MSA) is a progressive neurodegenerative disorder that causes early sustained disability and poor health-related quality of life (HrQoL). The clinical features and their effects on the HrQoL of patients in China have received little attention in the research literature. We evaluated the clinical characteristics and HrQoL of Chinese patients with MSA. MATERIALS AND METHODS A total of 143 patients with MSA from the Department of Neurology, Shanghai Ruijin Hospital, were enrolled in the study from March 2014 to May 2017. Basic demographic data, motor symptoms, non-motor symptoms, and HrQoL were assessed and compared with data from 198 patients with idiopathic Parkinson's disease (PD) who were matched by age, gender, and disease duration. Factors influencing the HrQoL of MSA patients were also analyzed. RESULTS The ratio of patients with predominant parkinsonism (MSA-P) and prominent cerebellar ataxia (MSA-C) was 95:48 among the 143 MSA patients. MSA-P patients had a longer disease duration (p = 0.002), higher levodopa equivalent daily dose (p < 0.001), higher scores on the Unified Multiple System Atrophy Rating Scale (UMSARS) I (p = 0.026), UMSARS II (p < 0.001), UMSARS IV (p = 0.019), the Hamilton Rating Scale for Depression (p = 0.001), the Hamilton Anxiety Scale (p = 0.013), and lower scores on measures of olfaction (p = 0.021) and cognitive function (p = 0.044) than the MSA-C patients. Stepwise regression analysis showed that depression, anxiety, degree of disability, and disease severity were independent predictors of decreased HrQoL. CONCLUSIONS The results indicate that MSA-P patients have more severe motor impairment, hyposmia, depression, anxiety, cognitive impairment, and lower HrQoL than MSA-C patients. Depression, anxiety, degree of disability, and disease severity are predictors of poor HrQoL among Chinese patients with MSA.
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Affiliation(s)
- Juan-Juan Du
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian Wang
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pei Huang
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shishuang Cui
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chao Gao
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiqi Lin
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rao Fu
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiyan Zhou
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengdi Chen
- Department of Neurology & The Collaborative Innovation Center for Brain Science, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
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Abstract
Multiple system atrophy (MSA) is an orphan, fatal, adult-onset neurodegenerative disorder of uncertain etiology that is clinically characterized by various combinations of parkinsonism, cerebellar, autonomic, and motor dysfunction. MSA is an α-synucleinopathy with specific glioneuronal degeneration involving striatonigral, olivopontocerebellar, and autonomic nervous systems but also other parts of the central and peripheral nervous systems. The major clinical variants correlate with the morphologic phenotypes of striatonigral degeneration (MSA-P) and olivopontocerebellar atrophy (MSA-C). While our knowledge of the molecular pathogenesis of this devastating disease is still incomplete, updated consensus criteria and combined fluid and imaging biomarkers have increased its diagnostic accuracy. The neuropathologic hallmark of this unique proteinopathy is the deposition of aberrant α-synuclein in both glia (mainly oligodendroglia) and neurons forming glial and neuronal cytoplasmic inclusions that cause cell dysfunction and demise. In addition, there is widespread demyelination, the pathogenesis of which is not fully understood. The pathogenesis of MSA is characterized by propagation of misfolded α-synuclein from neurons to oligodendroglia and cell-to-cell spreading in a "prion-like" manner, oxidative stress, proteasomal and mitochondrial dysfunction, dysregulation of myelin lipids, decreased neurotrophic factors, neuroinflammation, and energy failure. The combination of these mechanisms finally results in a system-specific pattern of neurodegeneration and a multisystem involvement that are specific for MSA. Despite several pharmacological approaches in MSA models, addressing these pathogenic mechanisms, no effective neuroprotective nor disease-modifying therapeutic strategies are currently available. Multidisciplinary research to elucidate the genetic and molecular background of the deleterious cycle of noxious processes, to develop reliable biomarkers and targets for effective treatment of this hitherto incurable disorder is urgently needed.
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Jellinger KA. Potential clinical utility of multiple system atrophy biomarkers. Expert Rev Neurother 2017; 17:1189-1208. [DOI: 10.1080/14737175.2017.1392239] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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