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Yusipov I, Kalyakulina A, Trukhanov A, Franceschi C, Ivanchenko M. Map of epigenetic age acceleration: A worldwide analysis. Ageing Res Rev 2024; 100:102418. [PMID: 39002646 DOI: 10.1016/j.arr.2024.102418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/15/2024]
Abstract
We present a systematic analysis of epigenetic age acceleration based on by far the largest collection of publicly available DNA methylation data for healthy samples (93 datasets, 23 K samples), focusing on the geographic (25 countries) and ethnic (31 ethnicities) aspects around the world. We employed the most popular epigenetic tools for assessing age acceleration and examined their quality metrics and ability to extrapolate to epigenetic data from different tissue types and age ranges different from the training data of these models. In most cases, the models proved to be inconsistent with each other and showed different signs of age acceleration, with the PhenoAge model tending to systematically underestimate and different versions of the GrimAge model tending to systematically overestimate the age prediction of healthy subjects. Referring to data availability and consistency, most countries and populations are still not represented in GEO, moreover, different datasets use different criteria for determining healthy controls. Because of this, it is difficult to fully isolate the contribution of "geography/environment", "ethnicity" and "healthiness" to epigenetic age acceleration. Among the explored metrics, only the DunedinPACE, which measures aging rate, appears to adequately reflect the standard of living and socioeconomic indicators in countries, although it has a limited application to blood methylation data only. Invariably, by epigenetic age acceleration, males age faster than females in most of the studied countries and populations.
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Affiliation(s)
- Igor Yusipov
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Alena Kalyakulina
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Arseniy Trukhanov
- Mriya Life Institute, National Academy of Active Longevity, Moscow 124489, Russia.
| | - Claudio Franceschi
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Mikhail Ivanchenko
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
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Murthy M, Fodder K, Miki Y, Rambarack N, De Pablo Fernandez E, Pihlstrøm L, Mill J, Warner TT, Lashley T, Bettencourt C. DNA methylation patterns in the frontal lobe white matter of multiple system atrophy, Parkinson's disease, and progressive supranuclear palsy: a cross-comparative investigation. Acta Neuropathol 2024; 148:4. [PMID: 38995454 PMCID: PMC11245434 DOI: 10.1007/s00401-024-02764-4] [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: 04/22/2024] [Revised: 07/04/2024] [Accepted: 07/04/2024] [Indexed: 07/13/2024]
Abstract
Multiple system atrophy (MSA) is a rare neurodegenerative disease characterized by neuronal loss and gliosis, with oligodendroglial cytoplasmic inclusions (GCIs) containing α-synuclein being the primary pathological hallmark. Clinical presentations of MSA overlap with other parkinsonian disorders, such as Parkinson's disease (PD), dementia with Lewy bodies (DLB), and progressive supranuclear palsy (PSP), posing challenges in early diagnosis. Numerous studies have reported alterations in DNA methylation in neurodegenerative diseases, with candidate loci being identified in various parkinsonian disorders including MSA, PD, and PSP. Although MSA and PSP present with substantial white matter pathology, alterations in white matter have also been reported in PD. However, studies comparing the DNA methylation architectures of white matter in these diseases are lacking. We therefore aimed to investigate genome-wide DNA methylation patterns in the frontal lobe white matter of individuals with MSA (n = 17), PD (n = 17), and PSP (n = 16) along with controls (n = 15) using the Illumina EPIC array, to identify shared and disease-specific DNA methylation alterations. Genome-wide DNA methylation profiling of frontal lobe white matter in the three parkinsonian disorders revealed substantial commonalities in DNA methylation alterations in MSA, PD, and PSP. We further used weighted gene correlation network analysis to identify disease-associated co-methylation signatures and identified dysregulation in processes relating to Wnt signaling, signal transduction, endoplasmic reticulum stress, mitochondrial processes, RNA interference, and endosomal transport to be shared between these parkinsonian disorders. Our overall analysis points toward more similarities in DNA methylation patterns between MSA and PD, both synucleinopathies, compared to that between MSA and PD with PSP, which is a tauopathy. Our results also highlight several shared DNA methylation changes and pathways indicative of converging molecular mechanisms in the white matter contributing toward neurodegeneration in all three parkinsonian disorders.
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Affiliation(s)
- Megha Murthy
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Katherine Fodder
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Yasuo Miki
- Department of Neuropathology, Institute of Brain Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Naiomi Rambarack
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Eduardo De Pablo Fernandez
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, London, UK
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Jonathan Mill
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Thomas T Warner
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, London, UK
| | - Tammaryn Lashley
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Conceição Bettencourt
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
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Derbala D, Garnier A, Bonnet E, Deleuze JF, Tost J. Whole-Genome Bisulfite Sequencing Protocol for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution. Methods Mol Biol 2024; 2842:353-382. [PMID: 39012605 DOI: 10.1007/978-1-0716-4051-7_18] [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: 07/17/2024]
Abstract
The analysis of genome-wide epigenomic alterations including DNA methylation and hydroxymethylation has become a subject of intensive research for many biological and clinical questions. DNA methylation analysis bears the particular promise to supplement or replace biochemical and imaging-based tests for the next generation of personalized medicine. Whole-genome bisulfite sequencing (WGBS) using next-generation sequencing technologies is currently considered the gold standard for a comprehensive and quantitative analysis of DNA methylation throughout the genome. However, bisulfite conversion does not allow distinguishing between cytosine methylation and hydroxymethylation requiring an additional chemical or enzymatic step to identify hydroxymethylated cytosines. Here, we provide a detailed protocol based on a commercial kit for the preparation of sequencing libraries for the comprehensive whole-genome analysis of DNA methylation and/or hydroxymethylation. The protocol is based on the construction of sequencing libraries from limited amounts of input DNA by ligation of methylated adaptors to the fragmented DNA prior to bisulfite conversion. For analyses requiring a quantitative distinction between 5-methylcytosine and 5-hydroxymethylcytosines levels, an oxidation step is included in the same workflow to perform oxidative bisulfite sequencing (OxBs-Seq). In this case, two sequencing libraries will be generated and sequenced: a classic methylome following bisulfite conversion and analyzing modified cytosines (not distinguishing between methylated and hydroxymethylated cytosines) and a methylome analyzing only methylated cytosines, respectively. Hydroxymethylation levels are deduced from the differences between the two reactions. We also provide a step-by-step description of the data analysis using publicly available bioinformatic tools. The described protocol has been successfully applied to different human and plant samples and yields robust and reproducible results.
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Affiliation(s)
- David Derbala
- Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris -Saclay, Evry, France
| | - Abel Garnier
- Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris -Saclay, Evry, France
| | - Eric Bonnet
- Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris -Saclay, Evry, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris -Saclay, Evry, France
| | - Jörg Tost
- Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris -Saclay, Evry, France.
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Fan CC, Han C, Wang XM, Chhetri JK, Mao W, Xu EH, Liu SY, Chan P. Data-Driven Subtypes of Multiple System Atrophy and Their Implications for Prognosis. JOURNAL OF PARKINSON'S DISEASE 2024; 14:1211-1223. [PMID: 39031382 PMCID: PMC11380245 DOI: 10.3233/jpd-240040] [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: 07/22/2024]
Abstract
Background While multiple system atrophy (MSA) presents with high heterogeneous motor and nonmotor symptoms, the associations between clinical phenotypes and prognosis are unclear. Objective We aimed to evaluate clinical phenotypes of MSA using data-driven approach and measure the impact of phenotypes on survival and bedbound status. Methods 193 MSA patients were recruited from Xuanwu Hospital Capital Medical University, whose history, motor and non-motor symptoms were examined using cluster analysis. Ninety-five participants were followed-up via telephone after a mean of 31.87 months. We employed Kaplan- Meier analysis to examine survival and performed Cox and logistic regression analyses to identify factors associated with survival and bedbound status. Results We identified four clinical profiles of MSA: cerebellar symptom-dominant, sleep and mood disorder-dominant, rigid akinetic-dominant, and malignant diffuse. The overall median survival was 7.75 years (95% CI 7.19-8.31). After adjusting for years from symptom onset to diagnosis, age and sex, patients in the malignant diffuse and rigid akinetic-dominant clusters had greater risk of death than sleep and mood disorder-dominant cluster. Furthermore, patients in the malignant diffuse and rigid akinetic-dominant clusters had higher risk of being bedbound than cerebellar symptom-dominant cluster. Conclusions The malignant diffuse and sleep and mood disorder-dominant were identified besides the two classical subtypes, parkinsonism, and cerebellar symptom-variant. Patients with rigid-akinetic motor profiles have a worse prognosis than cerebellar symptom-dominant profiles in general. Diffuse symptoms, especially postural instability, and cognitive alterations at diagnosis, indicate rapid functional loss and disease progression. The different profiles and prognoses might indicate varied underlying pathological mechanisms.
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Affiliation(s)
- Cheng-Cheng Fan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chao Han
- National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Xue-Mei Wang
- Department of Neurology, Luhe Hospital, Capital Medical University, Beijing, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Wei Mao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Er-He Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shu-Ying Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Chinese Institute for Brain Research (CIBR), Beijing, China
| | - Piu Chan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Beijing, China
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Li Y, Song Y, Liang Y. AREL1 resists the apoptosis induced by TGF-β by inhibiting SMAC in vascular endothelial cells. J Biochem Mol Toxicol 2023; 37:e23439. [PMID: 37522329 DOI: 10.1002/jbt.23439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 03/27/2023] [Accepted: 06/14/2023] [Indexed: 08/01/2023]
Abstract
Abnormal apoptosis of vascular endothelial cells is an important feature of arteriosclerosis (AS). Here, we induced apoptosis in human umbilical vein endothelial cells (HUVECs) using transforming growth factor-β (TGF-β), and investigated the role of antiapoptotic E3 ubiquitin ligase (AREL1) in the apoptosis of vascular endothelial cells. We proved that AREL1 is downregulated in TGF-β treated HUVECs. The overexpression of AREL1 inhibits the activation of Caspase-3 and Caspase-9 and attenuates cell apoptosis induced by TGF-β. According to the result of coimmunoprecipitation, AREL1 interacts with the proapoptotic proteins the second mitochondria-derived activator of caspases (SMAC) in TGF-β treated HUVECs. In addition, miR-320b inhibits the expression of AREL1, and the overexpression of AREL1 attenuates the apoptosis induced by miR-320b mimics in HUVECs. In conclusion, AREL1 is downregulated by miR-320b. AREL1 overexpression inhibits TGF-β induced apoptosis through downregulating SMAC in vascular endothelial cells. Our study explores pathogenesis regulation mechanism and new biological therapeutic targets for vascular disease.
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Affiliation(s)
- Yun Li
- Department of Medicine, Jinan Maternity and Child Care Hospital, Jinan, Shandong, China
| | - Yunhong Song
- Department of Medicine, Jinan Maternity and Child Care Hospital, Jinan, Shandong, China
| | - Yulian Liang
- Department of Medicine, Jinan Maternity and Child Care Hospital, Jinan, Shandong, China
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Role of Oligodendrocyte Lineage Cells in Multiple System Atrophy. Cells 2023; 12:cells12050739. [PMID: 36899876 PMCID: PMC10001068 DOI: 10.3390/cells12050739] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 03/03/2023] Open
Abstract
Multiple system atrophy (MSA) is a debilitating movement disorder with unknown etiology. Patients present characteristic parkinsonism and/or cerebellar dysfunction in the clinical phase, resulting from progressive deterioration in the nigrostriatal and olivopontocerebellar regions. MSA patients have a prodromal phase subsequent to the insidious onset of neuropathology. Therefore, understanding the early pathological events is important in determining the pathogenesis, which will assist with developing disease-modifying therapy. Although the definite diagnosis of MSA relies on the positive post-mortem finding of oligodendroglial inclusions composed of α-synuclein, only recently has MSA been verified as an oligodendrogliopathy with secondary neuronal degeneration. We review up-to-date knowledge of human oligodendrocyte lineage cells and their association with α-synuclein, and discuss the postulated mechanisms of how oligodendrogliopathy develops, oligodendrocyte progenitor cells as the potential origins of the toxic seeds of α-synuclein, and the possible networks through which oligodendrogliopathy induces neuronal loss. Our insights will shed new light on the research directions for future MSA studies.
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Tseng FS, Foo JQX, Mai AS, Tan EK. The genetic basis of multiple system atrophy. J Transl Med 2023; 21:104. [PMID: 36765380 PMCID: PMC9912584 DOI: 10.1186/s12967-023-03905-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/19/2023] [Indexed: 02/12/2023] Open
Abstract
Multiple system atrophy (MSA) is a heterogenous, uniformly fatal neurodegenerative ɑ-synucleinopathy. Patients present with varying degrees of dysautonomia, parkinsonism, cerebellar dysfunction, and corticospinal degeneration. The underlying pathophysiology is postulated to arise from aberrant ɑ-synuclein deposition, mitochondrial dysfunction, oxidative stress and neuroinflammation. Although MSA is regarded as a primarily sporadic disease, there is a possible genetic component that is poorly understood. This review summarizes current literature on genetic risk factors and potential pathogenic genes and loci linked to both sporadic and familial MSA, and underlines the biological mechanisms that support the role of genetics in MSA. We discuss a broad range of genes that have been associated with MSA including genes related to Parkinson's disease (PD), oxidative stress, inflammation, and tandem gene repeat expansions, among several others. Furthermore, we highlight various genetic polymorphisms that modulate MSA risk, including complex gene-gene and gene-environment interactions, which influence the disease phenotype and have clinical significance in both presentation and prognosis. Deciphering the exact mechanism of how MSA can result from genetic aberrations in both experimental and clinical models will facilitate the identification of novel pathophysiologic clues, and pave the way for translational research into the development of disease-modifying therapeutic targets.
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Affiliation(s)
- Fan Shuen Tseng
- grid.163555.10000 0000 9486 5048Division of Medicine, Singapore General Hospital, Singapore, Singapore
| | - Joel Qi Xuan Foo
- grid.276809.20000 0004 0636 696XDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | - Aaron Shengting Mai
- grid.4280.e0000 0001 2180 6431Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore, 169856, Singapore. .,Duke-NUS Medical School, Singapore, Singapore.
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Gong Z, Gao R, Ba L, Liu Y, Hou H, Zhang M. The Peripheral Immune Traits Changed in Patients with Multiple System Atrophy. Brain Sci 2023; 13:brainsci13020205. [PMID: 36831748 PMCID: PMC9953988 DOI: 10.3390/brainsci13020205] [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: 12/09/2022] [Revised: 01/11/2023] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open
Abstract
A growing body of evidence suggests immune involvement in the pathology of multiple system atrophy (MSA). Research on detailed peripheral immune indices, however, is relatively sparse, and is one of the intriguing aspects of MSA yet to be elucidated. A total of 26 MSA patients and 56 age-and sex-matched healthy controls (HC) were enrolled in the current case-control study to delineate the peripheral immune traits of MSA patients. The ratio of CD4+/CD8+ T cells, natural killer cells, CD28 expression on both CD4+ T cells and CD8+ T cells increased in MSA patients compared to HC, but CD8+ T cells and active marker (HLA-DR) expression on total T cells decreased (p < 0.05). This study sheds light on the dysregulation of cellular immunity in MSA, pointing to future mechanistic research.
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Affiliation(s)
- Zhenxiang Gong
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Rong Gao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Ba
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yang Liu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence: (H.H.); (M.Z.)
| | - Min Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence: (H.H.); (M.Z.)
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Battis K, Florio JB, Mante M, Lana A, Naumann I, Gauer C, Lambrecht V, Müller SJ, Cobo I, Fixsen B, Kim HY, Masliah E, Glass CK, Schlachetzki JCM, Rissman RA, Winkler J, Hoffmann A. CSF1R-Mediated Myeloid Cell Depletion Prolongs Lifespan But Aggravates Distinct Motor Symptoms in a Model of Multiple System Atrophy. J Neurosci 2022; 42:7673-7688. [PMID: 36333098 PMCID: PMC9546481 DOI: 10.1523/jneurosci.0417-22.2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 08/03/2022] [Accepted: 08/15/2022] [Indexed: 01/21/2023] Open
Abstract
As the CNS-resident macrophages and member of the myeloid lineage, microglia fulfill manifold functions important for brain development and homeostasis. In the context of neurodegenerative diseases, they have been implicated in degenerative and regenerative processes. The discovery of distinct activation patterns, including increased phagocytosis, indicated a damaging role of myeloid cells in multiple system atrophy (MSA), a devastating, rapidly progressing atypical parkinsonian disorder. Here, we analyzed the gene expression profile of microglia in a mouse model of MSA (MBP29-hα-syn) and identified a disease-associated expression profile and upregulation of the colony-stimulating factor 1 (Csf1). Thus, we hypothesized that CSF1 receptor-mediated depletion of myeloid cells using PLX5622 modifies the disease progression and neuropathological phenotype in this mouse model. Intriguingly, sex-balanced analysis of myeloid cell depletion in MBP29-hα-syn mice revealed a two-faced outcome comprising an improved survival rate accompanied by a delayed onset of neurological symptoms in contrast to severely impaired motor functions. Furthermore, PLX5622 reversed gene expression profiles related to myeloid cell activation but reduced gene expression associated with transsynaptic signaling and signal release. While transcriptional changes were accompanied by a reduction of dopaminergic neurons in the SNpc, striatal neuritic density was increased upon myeloid cell depletion in MBP29-hα-syn mice. Together, our findings provide insight into the complex, two-faced role of myeloid cells in the context of MSA emphasizing the importance to carefully balance the beneficial and adverse effects of CSF1R inhibition in different models of neurodegenerative disorders before its clinical translation.SIGNIFICANCE STATEMENT Myeloid cells have been implicated as detrimental in the disease pathogenesis of multiple system atrophy. However, long-term CSF1R-dependent depletion of these cells in a mouse model of multiple system atrophy demonstrates a two-faced effect involving an improved survival associated with a delayed onset of disease and reduced inflammation which was contrasted by severely impaired motor functions, synaptic signaling, and neuronal circuitries. Thus, this study unraveled a complex role of myeloid cells in multiple system atrophy, which indicates important functions beyond the previously described disease-associated, destructive phenotype and emphasized the need of further investigation to carefully and individually fine-tune immunologic processes in different neurodegenerative diseases.
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Affiliation(s)
- Kristina Battis
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Jazmin B Florio
- Department of Neurosciences, University of California-San Diego, La Jolla, California 92093
| | - Michael Mante
- Department of Neurosciences, University of California-San Diego, La Jolla, California 92093
| | - Addison Lana
- Department of Cellular and Molecular Medicine, University of California-San Diego, La Jolla, California 92093
| | - Isabel Naumann
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Carina Gauer
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Vera Lambrecht
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
- Center of Rare Diseases Erlangen (ZSEER), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Simon Julian Müller
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Isidoro Cobo
- Department of Cellular and Molecular Medicine, University of California-San Diego, La Jolla, California 92093
| | - Bethany Fixsen
- Department of Cellular and Molecular Medicine, University of California-San Diego, La Jolla, California 92093
| | - Ha Yeon Kim
- Department of Neurosciences, University of California-San Diego, La Jolla, California 92093
| | - Eliezer Masliah
- Division of Neuroscience, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892
| | - Christopher K Glass
- Department of Cellular and Molecular Medicine, University of California-San Diego, La Jolla, California 92093
| | - Johannes C M Schlachetzki
- Department of Cellular and Molecular Medicine, University of California-San Diego, La Jolla, California 92093
| | - Robert A Rissman
- Department of Neurosciences, University of California-San Diego, La Jolla, California 92093
| | - Jürgen Winkler
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
- Center of Rare Diseases Erlangen (ZSEER), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Alana Hoffmann
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
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Hopfner F, Tietz AK, Ruf VC, Ross OA, Koga S, Dickson D, Aguzzi A, Attems J, Beach T, Beller A, Cheshire WP, van Deerlin V, Desplats P, Deuschl G, Duyckaerts C, Ellinghaus D, Evsyukov V, Flanagan ME, Franke A, Frosch MP, Gearing M, Gelpi E, van Gerpen JA, Ghetti B, Glass JD, Grinberg LT, Halliday G, Helbig I, Höllerhage M, Huitinga I, Irwin DJ, Keene DC, Kovacs GG, Lee EB, Levin J, Martí MJ, Mackenzie I, McKeith I, Mclean C, Mollenhauer B, Neumann M, Newell KL, Pantelyat A, Pendziwiat M, Peters A, Porcel LM, Rabano A, Matěj R, Rajput A, Rajput A, Reimann R, Scott WK, Seeley W, Selvackadunco S, Simuni T, Stadelmann C, Svenningsson P, Thomas A, Trenkwalder C, Troakes C, Trojanowski JQ, Uitti RJ, White CL, Wszolek ZK, Xie T, Ximelis T, Justo Y, Müller U, Schellenberg GD, Herms J, Kuhlenbäumer G, Höglinger G. Common Variants Near ZIC1 and ZIC4 in Autopsy-Confirmed Multiple System Atrophy. Mov Disord 2022; 37:2110-2121. [PMID: 35997131 PMCID: PMC10052809 DOI: 10.1002/mds.29164] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/04/2022] [Accepted: 05/02/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Multiple System Atrophy is a rare neurodegenerative disease with alpha-synuclein aggregation in glial cytoplasmic inclusions and either predominant olivopontocerebellar atrophy or striatonigral degeneration, leading to dysautonomia, parkinsonism, and cerebellar ataxia. One prior genome-wide association study in mainly clinically diagnosed patients with Multiple System Atrophy failed to identify genetic variants predisposing for the disease. OBJECTIVE Since the clinical diagnosis of Multiple System Atrophy yields a high rate of misdiagnosis when compared to the neuropathological gold standard, we studied only autopsy-confirmed cases. METHODS We studied common genetic variations in Multiple System Atrophy cases (N = 731) and controls (N = 2898). RESULTS The most strongly disease-associated markers were rs16859966 on chromosome 3, rs7013955 on chromosome 8, and rs116607983 on chromosome 4 with P-values below 5 × 10-6 , all of which were supported by at least one additional genotyped and several imputed single nucleotide polymorphisms. The genes closest to the chromosome 3 locus are ZIC1 and ZIC4 encoding the zinc finger proteins of cerebellum 1 and 4 (ZIC1 and ZIC4). INTERPRETATION Since mutations of ZIC1 and ZIC4 and paraneoplastic autoantibodies directed against ZIC4 are associated with severe cerebellar dysfunction, we conducted immunohistochemical analyses in brain tissue of the frontal cortex and the cerebellum from 24 Multiple System Atrophy patients. Strong immunohistochemical expression of ZIC4 was detected in a subset of neurons of the dentate nucleus in all healthy controls and in patients with striatonigral degeneration, whereas ZIC4-immunoreactive neurons were significantly reduced inpatients with olivopontocerebellar atrophy. These findings point to a potential ZIC4-mediated vulnerability of neurons in Multiple System Atrophy. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Anja K. Tietz
- Department of Neurology, Kiel University, Kiel, Germany
| | - Viktoria C. Ruf
- Center for Neuropathology and Prion Research, Ludwig-Maximilians-Universität, Munich, Germany
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, Florida, USA
| | - Shunsuke Koga
- 6Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, Florida, USA
| | - Dennis Dickson
- 6Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, Florida, USA
| | - Adriano Aguzzi
- Institute of Neuropathology, University Hospital Zürich, Zürich, Switzerland
| | - Johannes Attems
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Thomas Beach
- Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Allison Beller
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | | | - Vivianna van Deerlin
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Paula Desplats
- Department of Neurosciences, School of Medicine University of California San Diego, La Jolla, California, USA
- Department of Pathology, School of Medicine University of California San Diego, La Jolla, California, USA
| | | | - Charles Duyckaerts
- Institut du Cerveau, UMR 7225, Sorbonne Université, Paris Brain Institute-ICM, CNRS, AP-HP, Hôpital de la Pitié Salpêtrière, Inserm U1127 DMU Neurosciences, Paris, France
- Brainbank NeuroCEB Neuropathology Network: Plateforme de Ressources Biologiques, Hôpital de La Pitié-Salpêtrière, Bâtiment Roger Baillet, Paris Cedex, France
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel & University Hospital Schleswig-Holstein, Kiel, Germany
| | | | - Margaret Ellen Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Pathology, Northwestern University, Chicago, Illinois, USA
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel & University Hospital Schleswig-Holstein, Kiel, Germany
| | - Matthew P. Frosch
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Marla Gearing
- Departments of Pathology and Laboratory Medicine and Neurology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
- Medical University of Vienna, Austrian Reference Center for Human Prion Diseases (OERPE), Vienna, Austria
| | | | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Lea T. Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, California, USA
- Global Health Institute, University of California, San Francisco, California, USA
- Department of Pathology, University of California, San Francisco, California, USA
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Glenda Halliday
- The University of Sydney, School of Medical Sciences, and Brain & Mind Centre, Sydney, New South Wales, Australia
| | - Ingo Helbig
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- The Epilepsy NeuroGenetics Initiative (ENGIN), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Inge Huitinga
- Department of Neuroimmunology, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands
- Brain Plasticity Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands
| | - David John Irwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Dirk C. Keene
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - Gabor G. Kovacs
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
- Department of Laboratory Medicine and Pathobiology and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Edward B. Lee
- Department of Pathology and Laboratory Medicine, Translational Neuropathology Research Laboratory Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Johannes Levin
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Maria J. Martí
- Parkinson’s Disease and Movement Disorders Unit, Department of Neurology, Hospital Clinic of Barcelona, Barcelona, Spain
- Institut de Neurociències, Maeztu Center, University of Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigacion Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Ian Mackenzie
- Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pathology, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Ian McKeith
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Catriona Mclean
- Department of Anatomical Pathology, Alfred Health, Melbourne, Victoria, Australia
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurology, University Medical Center Goettingen, Gottingen, Germany
| | - Manuela Neumann
- Molecular Neuropathology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases, Tübingen, Germany
- Department of Neuropathology, University Hospital of Tübingen, Tübingen, Germany
| | - Kathy L. Newell
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Alex Pantelyat
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Manuela Pendziwiat
- Department of Neuropediatrics, Children’s Hospital, University Medical Center Schleswig-Holstein, University of Kiel, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Alberto Rabano
- Neuropathology Department, CIEN Foundation, Alzheimer’s Centre Queen Sofía Foundation, Madrid, Spain
| | - Radoslav Matěj
- Department of Pathology, 3rd Faculty of Medicine, Charles University, University Hospital Kralovske Vinohrady, Prague, Czech Republic
- Department of Pathology and Molecular Medicine, 3rd Faculty of Medicine, Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Alex Rajput
- Division of Neurology, Royal University Hospital, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Ali Rajput
- Saskatchewan Movement Disorders Program, Saskatchewan Health Authority/University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Regina Reimann
- Institute of Neuropathology, University Hospital Zürich, Zürich, Switzerland
| | - William K. Scott
- John P. Hussman Institute for Human Genomics and Dr. John T. Macdonald Department of Human Genetics, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - William Seeley
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, California, USA
- Global Health Institute, University of California, San Francisco, California, USA
- Department of Pathology, University of California, San Francisco, California, USA
| | - Sashika Selvackadunco
- Basic and Clinical Neuroscience Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christine Stadelmann
- Institute for Neuropathology, University Medical Centre Göttingen, Göttingen, Germany
| | - Per Svenningsson
- Section of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Alan Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Goettingen, Goettingen, Germany
| | - Claire Troakes
- Basic and Clinical Neuroscience Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ryan J. Uitti
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Charles L. White
- Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Tao Xie
- Department of Neurology, University of Chicago Medicine, Chicago, Illinois, USA
| | - Teresa Ximelis
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Yebenes Justo
- Neurological Tissue Bank, Biobanc-Hospital Clínic-IDIBAPS, Barcelona, Spain
- Servicio de Neurología, Hospital Ramón y Cajal de Madrid, Madrid, Spain
| | | | - Ulrich Müller
- Institute of Human Genetics, JLU-Gießen, Giessen, Germany
| | - Gerard D. Schellenberg
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jochen Herms
- Center for Neuropathology and Prion Research, Ludwig-Maximilians-Universität, Munich, Germany
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Günter Höglinger
- Department of Neurology Hannover Medical School, Hannover, Germany
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- Zentrum für Systemische Neurowissenschaften, Hannover, Germany
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Abstract
Multiple system atrophy (MSA) is a rare neurodegenerative disease that is characterized by neuronal loss and gliosis in multiple areas of the central nervous system including striatonigral, olivopontocerebellar and central autonomic structures. Oligodendroglial cytoplasmic inclusions containing misfolded and aggregated α-synuclein are the histopathological hallmark of MSA. A firm clinical diagnosis requires the presence of autonomic dysfunction in combination with parkinsonism that responds poorly to levodopa and/or cerebellar ataxia. Clinical diagnostic accuracy is suboptimal in early disease because of phenotypic overlaps with Parkinson disease or other types of degenerative parkinsonism as well as with other cerebellar disorders. The symptomatic management of MSA requires a complex multimodal approach to compensate for autonomic failure, alleviate parkinsonism and cerebellar ataxia and associated disabilities. None of the available treatments significantly slows the aggressive course of MSA. Despite several failed trials in the past, a robust pipeline of putative disease-modifying agents, along with progress towards early diagnosis and the development of sensitive diagnostic and progression biomarkers for MSA, offer new hope for patients.
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Rydbirk R, Østergaard O, Folke J, Hempel C, DellaValle B, Andresen TL, Løkkegaard A, Hejl AM, Bode M, Blaabjerg M, Møller M, Danielsen EH, Salvesen L, Starhof CC, Bech S, Winge K, Rungby J, Pakkenberg B, Brudek T, Olsen JV, Aznar S. Brain proteome profiling implicates the complement and coagulation cascade in multiple system atrophy brain pathology. Cell Mol Life Sci 2022; 79:336. [PMID: 35657417 PMCID: PMC9164190 DOI: 10.1007/s00018-022-04378-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/12/2022] [Accepted: 05/12/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Multiple system atrophy (MSA) is a rare, progressive, neurodegenerative disorder presenting glia pathology. Still, disease etiology and pathophysiology are unknown, but neuro-inflammation and vascular disruption may be contributing factors to the disease progression. Here, we performed an ex vivo deep proteome profiling of the prefrontal cortex of MSA patients to reveal disease-relevant molecular neuropathological processes. Observations were validated in plasma and cerebrospinal fluid (CSF) of novel cross-sectional patient cohorts. METHODS Brains from 45 MSA patients and 30 normal controls (CTRLs) were included. Brain samples were homogenized and trypsinized for peptide formation and analyzed by high-performance liquid chromatography tandem mass spectrometry (LC-MS/MS). Results were supplemented by western blotting, immuno-capture, tissue clearing and 3D imaging, immunohistochemistry and immunofluorescence. Subsequent measurements of glial fibrillary acid protein (GFAP) and neuro-filament light chain (NFL) levels were performed by immunoblotting in plasma of 20 MSA patients and 20 CTRLs. Finally, we performed a proteome profiling of 144 CSF samples from MSA and CTRLs, as well as other parkinsonian disorders. Data were analyzed using relevant parametric and non-parametric two-sample tests or linear regression tests followed by post hoc tests corrected for multiple testing. Additionally, high-throughput bioinformatic analyses were applied. RESULTS We quantified more than 4,000 proteins across samples and identified 49 differentially expressed proteins with significantly different abundances in MSA patients compared with CTRLs. Pathway analyses showed enrichment of processes related to fibrinolysis and complement cascade activation. Increased fibrinogen subunit β (FGB) protein levels were further verified, and we identified an enriched recognition of FGB by IgGs as well as intra-parenchymal accumulation around blood vessels. We corroborated blood-brain barrier leakage by a significant increase in GFAP and NFL plasma levels in MSA patients that correlated to disease severity and/or duration. Proteome profiling of CSF samples acquired during the disease course, confirmed increased total fibrinogen levels and immune-related components in the soluble fraction of MSA patients. This was also true for the other atypical parkinsonian disorders, dementia with Lewy bodies and progressive supra-nuclear palsy, but not for Parkinson's disease patients. CONCLUSION Our results implicate activation of the fibrinolytic cascade and immune system in the brain as contributing factors in MSA associated with a more severe disease course.
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Affiliation(s)
- Rasmus Rydbirk
- Centre for Neuroscience and Stereology, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- Biotech Research and Innovation Centre, Faculty of Health, University of Copenhagen, Copenhagen, Denmark
| | - Ole Østergaard
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark
| | - Jonas Folke
- Centre for Neuroscience and Stereology, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
| | - Casper Hempel
- Department of Health Technology, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
- GLX Analytix ApS, 2200, Copenhagen N, Denmark
| | - Brian DellaValle
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- GLX Analytix ApS, 2200, Copenhagen N, Denmark
| | - Thomas L Andresen
- Department of Health Technology, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
| | - Annemette Løkkegaard
- Department of Clinical Medicine, Faculty of Health, University of Copenhagen, 2200, Copenhagen N, Denmark
- Department of Neurology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, 2400, Copenhagen NW, Denmark
| | - Anne-Mette Hejl
- Department of Neurology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, 2400, Copenhagen NW, Denmark
| | - Matthias Bode
- Department of Neurology, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense, Denmark
| | - Morten Blaabjerg
- Department of Neurology, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense, Denmark
| | - Mette Møller
- Department of Neurology, Aarhus University Hospital, 8200, Aarhus, Denmark
| | - Erik H Danielsen
- Department of Neurology, Aarhus University Hospital, 8200, Aarhus, Denmark
| | - Lisette Salvesen
- Department of Neurology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, 2400, Copenhagen NW, Denmark
| | - Charlotte C Starhof
- Department of Neurology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, 2400, Copenhagen NW, Denmark
| | - Sara Bech
- Department of Neurology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, 2400, Copenhagen NW, Denmark
| | - Kristian Winge
- Department of Neurology, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, 2400, Copenhagen NW, Denmark
- Department of Neurology, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense, Denmark
| | - Jørgen Rungby
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- Department of Endocrinology, Copenhagen University Hospital, Bispebjerg-Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
| | - Bente Pakkenberg
- Centre for Neuroscience and Stereology, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- Department of Clinical Medicine, Faculty of Health, University of Copenhagen, 2200, Copenhagen N, Denmark
| | - Tomasz Brudek
- Centre for Neuroscience and Stereology, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark.
| | - Susana Aznar
- Centre for Neuroscience and Stereology, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark.
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, 2400, Copenhagen NW, Denmark.
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Tost J. Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1389:395-469. [DOI: 10.1007/978-3-031-11454-0_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Epigenetic and gene expression changes of neuronal cells from MSA patients are pronounced in enzymes for cell metabolism and calcium-regulated protein kinases. Acta Neuropathol 2021; 142:781-783. [PMID: 34370068 PMCID: PMC8423633 DOI: 10.1007/s00401-021-02357-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 11/29/2022]
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Bettencourt C, Miki Y, Piras IS, de Silva R, Foti SC, Talboom JS, Revesz T, Lashley T, Balazs R, Viré E, Warner TT, Huentelman MJ, Holton JL. MOBP and HIP1 in multiple system atrophy: New α-synuclein partners in glial cytoplasmic inclusions implicated in the disease pathogenesis. Neuropathol Appl Neurobiol 2021; 47:640-652. [PMID: 33368549 PMCID: PMC8219819 DOI: 10.1111/nan.12688] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 11/16/2020] [Accepted: 12/14/2020] [Indexed: 01/02/2023]
Abstract
AIMS Multiple system atrophy (MSA) is a fatal neurodegenerative disease. Similar to Parkinson's disease (PD), MSA is an α-synucleinopathy, and its pathological hallmark consists of glial cytoplasmic inclusions (GCIs) containing α-synuclein (SNCA) in oligodendrocytes. We previously identified consistent changes in myelin-associated oligodendrocyte basic protein (MOBP) and huntingtin interacting protein 1 (HIP1) DNA methylation status in MSA. We hypothesized that if differential DNA methylation at these loci is mechanistically relevant for MSA, it should have downstream consequences on gene regulation. METHODS We investigated the relationship between MOBP and HIP1 DNA methylation and mRNA levels in cerebellar white matter from MSA and healthy controls. Additionally, we analysed protein expression using western blotting, immunohistochemistry and proximity ligation assays. RESULTS We found decreased MOBP mRNA levels significantly correlated with increased DNA methylation in MSA. For HIP1, we found a distinct relationship between DNA methylation and gene expression levels in MSA compared to healthy controls, suggesting this locus may be subjected to epigenetic remodelling in MSA. Although soluble protein levels for MOBP and HIP1 in cerebellar white matter were not significantly different between MSA cases and controls, we found striking differences between MSA and other neurodegenerative diseases, including PD and Huntington's disease. We also found that MOBP and HIP1 are mislocalized into the GCIs in MSA, where they appear to interact with SNCA. CONCLUSIONS This study supports a role for DNA methylation in downregulation of MOBP mRNA in MSA. Most importantly, the identification of MOBP and HIP1 as new constituents of GCIs emphasizes the relevance of these two loci to the pathogenesis of MSA.
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Affiliation(s)
- Conceição Bettencourt
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUK
| | - Yasuo Miki
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of NeuropathologyInstitute of Brain ScienceHirosaki University Graduate School of MedicineHirosakiJapan
| | - Ignazio S. Piras
- Neurogenomics DivisionTranslational Genomics Research InstitutePhoenixAZUSA
| | - Rohan de Silva
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUK
- Reta Lila Weston InstituteUCL Queen Square Institute of NeurologyLondonUK
| | - Sandrine C. Foti
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Joshua S. Talboom
- Neurogenomics DivisionTranslational Genomics Research InstitutePhoenixAZUSA
| | - Tamas Revesz
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Reta Lila Weston InstituteUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Robert Balazs
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | | | - Thomas T. Warner
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUK
- Reta Lila Weston InstituteUCL Queen Square Institute of NeurologyLondonUK
| | - Matt J. Huentelman
- Neurogenomics DivisionTranslational Genomics Research InstitutePhoenixAZUSA
| | - Janice L. Holton
- Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyLondonUK
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUK
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Murthy M, Cheng YY, Holton JL, Bettencourt C. Neurodegenerative movement disorders: An epigenetics perspective and promise for the future. Neuropathol Appl Neurobiol 2021; 47:897-909. [PMID: 34318515 PMCID: PMC9291277 DOI: 10.1111/nan.12757] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 07/12/2021] [Indexed: 02/02/2023]
Abstract
Neurodegenerative movement disorders (NMDs) are age‐dependent disorders that are characterised by the degeneration and loss of neurons, typically accompanied by pathological accumulation of different protein aggregates in the brain, which lead to motor symptoms. NMDs include Parkinson's disease, multiple system atrophy, progressive supranuclear palsy, and Huntington's disease, among others. Epigenetic modifications are responsible for functional gene regulation during development, adult life and ageing and have progressively been implicated in complex diseases such as cancer and more recently in neurodegenerative diseases, such as NMDs. DNA methylation is by far the most widely studied epigenetic modification and consists of the reversible addition of a methyl group to the DNA without changing the DNA sequence. Although this research field is still in its infancy in relation to NMDs, an increasing number of studies point towards a role for DNA methylation in disease processes. This review addresses recent advances in epigenetic and epigenomic research in NMDs, with a focus on human brain DNA methylation studies. We discuss the current understanding of the DNA methylation changes underlying these disorders, the potential for use of these DNA modifications in peripheral tissues as biomarkers in early disease detection, classification and progression as well as a promising role in future disease management and therapy.
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Affiliation(s)
- Megha Murthy
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.,Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Yun Yung Cheng
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Janice L Holton
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.,Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Conceição Bettencourt
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
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17
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Phytochemicals as Regulators of Genes Involved in Synucleinopathies. Biomolecules 2021; 11:biom11050624. [PMID: 33922207 PMCID: PMC8145209 DOI: 10.3390/biom11050624] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 12/13/2022] Open
Abstract
Synucleinopathies are a group of neurodegenerative diseases characterized by the accumulation of α-synuclein aggregates in neurons, nerve fibers or glial cells. Three main types of diseases belong to the synucleinopathies: Parkinson’s disease, dementia with Lewy bodies, and multiple system atrophy. All of them develop as a result of an interplay of genetic and environmental factors. Emerging evidence suggests that epigenetic mechanisms play an essential role in the development of synucleinopathies. Since there is no disease-modifying treatment for these disorders at this time, interest is growing in plant-derived chemicals as a potential treatment option. Phytochemicals are substances of plant origin that possess biological activity, which might have effects on human health. Phytochemicals with neuroprotective activity target different elements in pathogenic pathways due to their antioxidants, anti-inflammatory, and antiapoptotic properties, and ability to reduce cellular stress. Multiple recent studies demonstrate that the beneficial effects of phytochemicals may be explained by their ability to modulate the expression of genes implicated in synucleinopathies and other diseases. These substances may regulate transcription directly via transcription factors (TFs) or play the role of epigenetic regulators through their effect on histone modification, DNA methylation, and RNA-based mechanisms. Here, we summarize new data about the impact of phytochemicals on the pathogenesis of synucleinopathies through regulation of gene expression.
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18
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Pérez-Soriano A, Martí MJ. Mini-Review: The MSA transcriptome. Neurosci Lett 2020; 743:135586. [PMID: 33352281 DOI: 10.1016/j.neulet.2020.135586] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 12/13/2020] [Indexed: 02/07/2023]
Abstract
Multiple system atrophy (MSA) is an atypical parkinsonism that rapidly affects motor ability and autonomic function, leaving patients wheelchair-bound and dependent for daily activities in 3-5 years. Differential diagnosis is challenging as cases may resemble Parkinson's disease or other ataxic syndromes depending on the clinical variant (MSA-P or MSA-C), especially in early stages. There are limited symptomatic treatments and no disease-modifying therapies. Pathologically, alpha-synuclein aggregates are found in glial cytoplasmic inclusions, among other proteins, as well as in neurons. The molecular pathogenesis of the disease, however, is widely unknown. Transcriptomic studies in MSA have tried to unravel the pathological mechanisms involved in the disease. Several biological and molecular processes have been described in the literature that associate disease pathogenesis with inflammation, mitochondrial, and autophagy related dysfunctions, as well as prion disease and Alzheimer disease associated pathways. These reports have also registered several differential diagnostic biomarker candidates. However, cross-validation between studies, in general, is poor, making clinical applicability and data reliability very challenging. This review will go over the main transcriptomic studies done in MSA, reporting on the most significant transcriptive and post-transcriptive changes described, and focusing on the main consensual findings.
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Affiliation(s)
- Alexandra Pérez-Soriano
- Parkinson's Disease & Movement Disorders Unit, Hospital Clínic / IDIBAPS / CIBERNED CB06/05/0018/ European Reference Network for Rare NeurologicalDiseases (ERN-RND Project ID: 739510) / Institut de Neurociències, University of Barcelona, Catalonia, Spain
| | - María J Martí
- Parkinson's Disease & Movement Disorders Unit, Hospital Clínic / IDIBAPS / CIBERNED CB06/05/0018/ European Reference Network for Rare NeurologicalDiseases (ERN-RND Project ID: 739510) / Institut de Neurociències, University of Barcelona, Catalonia, Spain.
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19
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Conway KS, Camelo-Piragua S, Fisher-Hubbard A, Perry WR, Shakkottai VG, Venneti S. Multiple system atrophy pathology is associated with primary Sjögren's syndrome. JCI Insight 2020; 5:138619. [PMID: 32644976 PMCID: PMC7455075 DOI: 10.1172/jci.insight.138619] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 07/01/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Our objective was to investigate whether primary Sjögren’s syndrome (pSS) is associated with multiple system atrophy (MSA). METHODS We performed a retrospective cohort study assessing (a) rates of MSA in a cohort of patients with pSS and (b) rates of pSS in a cohort of patients with MSA. These data were compared with rates in respective control groups. We additionally reviewed the neuropathologic findings in 2 patients with pSS, cerebellar degeneration, parkinsonism, and autonomic dysfunction. RESULTS Our cohort of 308 patients with pSS had a greater incidence of MSA compared with 4 large population-based studies and had a significantly higher prevalence of at least probable MSA (1% vs. 0%, P = 0.02) compared with 776 patients in a control cohort of patients with other autoimmune disorders. Our cohort of 26 autopsy-proven patients with MSA had a significantly higher prevalence of pSS compared with a cohort of 115 patients with other autopsy-proven neurodegenerative disorders (8% vs. 0%, P = 0.03). The 2 patients we described with pSS and progressive neurodegenerative disease showed classic MSA pathology at autopsy. CONCLUSION Our findings provide evidence for an association between MSA and pSS that is specific to both pSS, among autoimmune disorders, and MSA, among neurodegenerative disorders. The 2 cases we describe of autopsy-proven MSA support that MSA pathology can explain neurologic disease in a subset of patients with pSS. These findings together support the hypothesis that systemic autoimmune disease plays a role in neurodegeneration. FUNDING The Michigan Brain Bank is supported in part through NIH grant P30AG053760. This single-center retrospective cohort study shows an association between primary Sjogren’s syndrome and multiple system atrophy pathology.
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Affiliation(s)
- Kyle S Conway
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Sandra Camelo-Piragua
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Amanda Fisher-Hubbard
- Department of Pathology, Homer Stryker M.D. School of Medicine, Western Michigan University, Kalamazoo, Michigan, USA
| | - William R Perry
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Vikram G Shakkottai
- Department of Neurology, Department of Molecular and Integrative Physiology Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Sriram Venneti
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
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20
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Bettencourt C, Piras IS, Foti SC, Talboom J, Miki Y, Lashley T, Balazs R, Viré E, Warner TT, Huentelman MJ, Holton JL. Epigenomics and transcriptomics analyses of multiple system atrophy brain tissue supports a role for inflammatory processes in disease pathogenesis. Acta Neuropathol Commun 2020; 8:71. [PMID: 32410669 PMCID: PMC7227350 DOI: 10.1186/s40478-020-00946-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 05/07/2020] [Indexed: 12/17/2022] Open
Affiliation(s)
- Conceição Bettencourt
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, Queen Square Brain Bank for Neurological Disorders, 1 Wakefield street, London, WC1N 1PJ, UK.
| | - Ignazio S Piras
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Sandrine C Foti
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Joshua Talboom
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Yasuo Miki
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Neuropathology, Institute of Brain Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Robert Balazs
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Emmanuelle Viré
- Institute of Prion Diseases, MRC Prion Unit at UCL, Courtauld Building, 33 Cleveland Street, London, UK
| | - Thomas T Warner
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, Queen Square Brain Bank for Neurological Disorders, 1 Wakefield street, London, WC1N 1PJ, UK
- Reta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology, London, UK
| | - Matt J Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Janice L Holton
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, Queen Square Brain Bank for Neurological Disorders, 1 Wakefield street, London, WC1N 1PJ, UK
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