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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studies, case-control studies, and cohort studies published only in English, while conference abstracts and unpublished sources were excluded.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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Schneider Y, Gauer C, Andert M, Hoffmann A, Riemenschneider MJ, Krebs W, Chalmers N, Lötzsch C, Naumann UJ, Xiang W, Rothhammer V, Beckervordersandforth R, Schlachetzki JCM, Winkler J. Distinct forebrain regions define a dichotomous astrocytic profile in multiple system atrophy. Acta Neuropathol Commun 2024; 12:1. [PMID: 38167307 PMCID: PMC10759635 DOI: 10.1186/s40478-023-01699-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
The growing recognition of a dichotomous role of astrocytes in neurodegenerative processes has heightened the need for unraveling distinct astrocytic subtypes in neurological disorders. In multiple system atrophy (MSA), a rare, rapidly progressing atypical Parkinsonian disease characterized by increased astrocyte reactivity. However the specific contribution of astrocyte subtypes to neuropathology remains elusive. Hence, we first set out to profile glial fibrillary acidic protein levels in astrocytes across the human post mortem motor cortex, putamen, and substantia nigra of MSA patients and observed an overall profound astrocytic response. Matching the post mortem human findings, a similar astrocytic phenotype was present in a transgenic MSA mouse model. Notably, MSA mice exhibited a decreased expression of the glutamate transporter 1 and glutamate aspartate transporter in the basal ganglia, but not the motor cortex. We developed an optimized astrocyte isolation protocol based on magnetic-activated cell sorting via ATPase Na+/K+ transporting subunit beta 2 and profiled the transcriptomic landscape of striatal and cortical astrocytes in transgenic MSA mice. The gene expression profile of astrocytes in the motor cortex displayed an anti-inflammatory signature with increased oligodendroglial and pro-myelinogenic expression pattern. In contrast, striatal astrocytes were defined by elevated pro-inflammatory transcripts accompanied by dysregulated genes involved in homeostatic functions for lipid and calcium metabolism. These findings provide new insights into a region-dependent, dichotomous astrocytic response-potentially beneficial in the cortex and harmful in the striatum-in MSA suggesting a differential role of astrocytes in MSA-related neurodegenerative processes.
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Affiliation(s)
- Y Schneider
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - C Gauer
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - M Andert
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - A Hoffmann
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
- Keenan Research Centre for Biomedical Science, St Michael's Hospital, Toronto, ON, Canada
- Department of Immunology, The University of Toronto, Toronto, ON, Canada
| | - M J Riemenschneider
- Department of Neuropathology, Regensburg University Hospital, 93053, Regensburg, Germany
| | - W Krebs
- Core Unit Bioinformatics, Data Integration and Analysis (CUBiDA), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - N Chalmers
- Institute of Biochemistry, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - C Lötzsch
- Institute of Biochemistry, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - U J Naumann
- Department of Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - W Xiang
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - V Rothhammer
- Department of Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - R Beckervordersandforth
- Institute of Biochemistry, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - J C M Schlachetzki
- Department of Cellular and Molecular Medicine, University of California-San Diego, La Jolla, CA, 92093, USA
| | - J Winkler
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
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Singer W, Schmeichel AM, Sletten DM, Gehrking TL, Gehrking JA, Trejo-Lopez J, Suarez MD, Anderson JK, Bass PH, Lesnick TG, Low PA. Neurofilament light chain in spinal fluid and plasma in multiple system atrophy: a prospective, longitudinal biomarker study. Clin Auton Res 2023; 33:635-645. [PMID: 37603107 PMCID: PMC10840936 DOI: 10.1007/s10286-023-00974-6] [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: 07/25/2023] [Accepted: 08/10/2023] [Indexed: 08/22/2023]
Abstract
PURPOSE There is a critical need for reliable diagnostic biomarkers as well as surrogate markers of disease progression in multiple system atrophy (MSA). Neurofilament light chain (NfL) has been reported to potentially meet those needs. We therefore sought to explore the value of NfL in plasma (NfL-p) in contrast to cerebrospinal fluid (NfL-c) as a diagnostic marker of MSA, and to assess NfL-p and NfL-c as markers of clinical disease progression. METHODS Well-characterized patients with early MSA (n = 32), Parkinson's disease (PD; n = 21), and matched controls (CON; n = 15) were enrolled in a prospective, longitudinal study of synucleinopathies with serial annual evaluations. NfL was measured using a high-sensitivity immunoassay, and findings were assessed by disease category and relationship with clinical measures of disease progression. RESULTS Measurements of NfL-c were highly reproducible across immunoassay platforms (Pearson, r = 0.99), while correlation between NfL-c and -p was only moderate (r = 0.66). NfL was significantly higher in MSA compared with CON and PD; the separation was essentially perfect for NfL-c, but there was overlap, particularly with PD, for NfL-p. While clinical measures of disease severity progressively increased over time, NfL-c and -p remained at stable elevated levels within subjects across serial measurements. Neither change in NfL nor baseline NfL were significantly associated with changes in clinical markers of disease severity. CONCLUSIONS These findings confirm NfL-c as a faithful diagnostic marker of MSA, while NfL-p showed less robust diagnostic value. The significant NfL elevation in MSA was found to be remarkably stable over time and was not predictive of clinical disease progression.
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Affiliation(s)
- Wolfgang Singer
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Ann M Schmeichel
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David M Sletten
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Tonette L Gehrking
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jade A Gehrking
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jorge Trejo-Lopez
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Mariana D Suarez
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jennifer K Anderson
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Pamela H Bass
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Timothy G Lesnick
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Phillip A Low
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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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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Lee RMQ, Koh TW. Genetic modifiers of synucleinopathies-lessons from experimental models. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad001. [PMID: 38596238 PMCID: PMC10913850 DOI: 10.1093/oons/kvad001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/04/2023] [Accepted: 03/07/2023] [Indexed: 04/11/2024]
Abstract
α-Synuclein is a pleiotropic protein underlying a group of progressive neurodegenerative diseases, including Parkinson's disease and dementia with Lewy bodies. Together, these are known as synucleinopathies. Like all neurological diseases, understanding of disease mechanisms is hampered by the lack of access to biopsy tissues, precluding a real-time view of disease progression in the human body. This has driven researchers to devise various experimental models ranging from yeast to flies to human brain organoids, aiming to recapitulate aspects of synucleinopathies. Studies of these models have uncovered numerous genetic modifiers of α-synuclein, most of which are evolutionarily conserved. This review discusses what we have learned about disease mechanisms from these modifiers, and ways in which the study of modifiers have supported ongoing efforts to engineer disease-modifying interventions for synucleinopathies.
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Affiliation(s)
- Rachel Min Qi Lee
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore
| | - Tong-Wey Koh
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore
- Department of Biological Sciences, National University of Singapore, Block S3 #05-01, 16 Science Drive 4, Singapore, 117558, Singapore
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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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