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Kim YC, Jeong BH. In Silico Evaluation of Acetylation Mimics in the 27 Lysine Residues of Human Tau Protein. Curr Alzheimer Res 2020; 16:379-387. [PMID: 30907318 DOI: 10.2174/1567205016666190321161032] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/11/2019] [Accepted: 03/17/2019] [Indexed: 01/24/2023]
Abstract
BACKGROUND Various neurodegenerative diseases, including Alzheimer's disease (AD), are related to abnormal hyperphosphorylated microtubule-associated protein tau accumulation in brain lesions. Recent studies have focused on toxicity caused by another post-translational modification (PTM), acetylation of the lysine (K) residues of tau protein. Because there are numerous acetylation sites, several studies have introduced mimics of tau acetylation using amino acid substitutions from lysine to glutamine (Q). However, human tau protein contains over 20 acetylation sites; thus, investigation of the effects of an acetylated tau is difficult. OBJECTIVE Here, the authors in silico evaluated acetylation effects using SIFT, PolyPhen-2 and PROVEAN which can estimate the effects of amino acid substitutions based on the sequence homology or protein structure in tau isoforms. In addition, they also investigated 27 acetylation effects on the amyloid formation of tau proteins using Waltz. RESULTS 15 acetylation mimics were estimated to be the most detrimental, which indicates that there may be novel pathogenic acetylation sites in the human tau protein. Interestingly, the deleterious effect of acetylation mimics was different according to the type of isoforms. Furthermore, all acetylation mimics were predicted to be a region of amyloid formation at the codons 274-279 of human tau protein. Notably, acetylation mimic of codon 311 (K311Q) induced the formation of an additional amyloid region located on codons 306-311 of the human tau protein. CONCLUSION To the best of our knowledge, this is the first simultaneous in-silico evaluation of the acetylation state of 27 human tau protein residues.
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Affiliation(s)
- Yong-Chan Kim
- Korea Zoonosis Research Institute, Chonbuk National University, Iksan, Jeonbuk 570-390, Korea.,Department of Bioactive Material Sciences, Chonbuk National University, Jeonju, Jeonbuk 561-756, Korea
| | - Byung-Hoon Jeong
- Korea Zoonosis Research Institute, Chonbuk National University, Iksan, Jeonbuk 570-390, Korea.,Department of Bioactive Material Sciences, Chonbuk National University, Jeonju, Jeonbuk 561-756, Korea
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52
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Cornblath EJ, Robinson JL, Irwin DJ, Lee EB, Lee VMY, Trojanowski JQ, Bassett DS. Defining and predicting transdiagnostic categories of neurodegenerative disease. Nat Biomed Eng 2020; 4:787-800. [PMID: 32747831 PMCID: PMC7946378 DOI: 10.1038/s41551-020-0593-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 06/25/2020] [Indexed: 11/09/2022]
Abstract
The prevalence of concomitant proteinopathies and heterogeneous clinical symptoms in neurodegenerative diseases hinders the identification of individuals who might be candidates for a particular intervention. Here, by applying an unsupervised clustering algorithm to post-mortem histopathological data from 895 patients with degeneration in the central nervous system, we show that six non-overlapping disease clusters can simultaneously account for tau neurofibrillary tangles, α-synuclein inclusions, neuritic plaques, inclusions of the transcriptional repressor TDP-43, angiopathy, neuron loss and gliosis. We also show that membership to the six transdiagnostic disease clusters, which explains more variance in cognitive phenotypes than can be explained by individual diagnoses, can be accurately predicted from scores of the Mini-Mental Status Exam, protein levels in cerebrospinal fluid, and genotype at the APOE and MAPT loci, via cross-validated multiple logistic regression. This combination of unsupervised and supervised data-driven tools provides a framework that could be used to identify latent disease subtypes in other areas of medicine.
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Affiliation(s)
- Eli J Cornblath
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - John L Robinson
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Santa Fe Institute, Santa Fe, NM, USA.
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53
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Tang SJ, Fesharaki-Zadeh A, Takahashi H, Nies SH, Smith LM, Luo A, Chyung A, Chiasseu M, Strittmatter SM. Fyn kinase inhibition reduces protein aggregation, increases synapse density and improves memory in transgenic and traumatic Tauopathy. Acta Neuropathol Commun 2020; 8:96. [PMID: 32611392 PMCID: PMC7329553 DOI: 10.1186/s40478-020-00976-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 06/21/2020] [Indexed: 01/06/2023] Open
Abstract
Accumulation of misfolded phosphorylated Tau (Tauopathy) can be triggered by mutations or by trauma, and is associated with synapse loss, gliosis, neurodegeneration and memory deficits. Fyn kinase physically associates with Tau and regulates subcellular distribution. Here, we assessed whether pharmacological Fyn inhibition alters Tauopathy. In P301S transgenic mice, chronic Fyn inhibition prevented deficits in spatial memory and passive avoidance learning. The behavioral improvement was coupled with reduced accumulation of phospho-Tau in the hippocampus, with reductions in glial activation and with recovery of presynaptic markers. We extended this analysis to a trauma model in which very mild repetitive closed head injury was paired with chronic variable stress over 2 weeks to produce persistent memory deficits and Tau accumulation. In this model, Fyn inhibition beginning 24 h after the trauma ended rescued memory performance and reduced phospho-Tau accumulation. Thus, inhibition of Fyn kinase may have therapeutic benefit in clinical Tauopathies.
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54
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Chakravarthy M, Chen S, Wang T, Veedu RN. Development of Novel Chemically-Modified Nucleic Acid Molecules for Efficient Inhibition of Human MAPT Gene Expression. Genes (Basel) 2020; 11:genes11060667. [PMID: 32575375 PMCID: PMC7349501 DOI: 10.3390/genes11060667] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 12/20/2022] Open
Abstract
The hyperphosphorylation of the microtubule-associated protein tau (MAPT) has been implicated in various neurological diseases, including Alzheimer’s disease. It has been hypothesized that the reduction of MAPT would result in depolymerizing neurofibrillary tangles and could be a potential strategy for the treatment of Alzheimer’s disease and other tauopathies. In this study, we report the development of novel DNAzymes and splice-modulating antisense oligonucleotides (AOs) for the efficient inhibition of MAPT. We designed and synthesized a range of DNAzymes and 2ʹ-O-methyl (2’-OMe)-modified AOs on a phosphorothioate (PS) backbone targeting various exons across the MAPT gene transcript. Our results demonstrated that RNV563, an arm-loop-arm-type DNAzyme targeting exon 13, and an AO candidate AO4, targeting exon 4, efficiently downregulated MAPT RNA expression by 58% and 96%, respectively. In addition, AO4 also reduced the MAPT protein level by 74%. In line with our results, we believe that AO4 could be used as a potential therapeutic molecule for Alzheimer’s disease and other tauopathies.
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Affiliation(s)
- Madhuri Chakravarthy
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth 6150, Australia; (M.C.); (S.C.); (T.W.)
- Perron Institute for Neurological and Translational Science, Perth 6150, Australia
| | - Suxiang Chen
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth 6150, Australia; (M.C.); (S.C.); (T.W.)
- Perron Institute for Neurological and Translational Science, Perth 6150, Australia
| | - Tao Wang
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth 6150, Australia; (M.C.); (S.C.); (T.W.)
- Perron Institute for Neurological and Translational Science, Perth 6150, Australia
| | - Rakesh N. Veedu
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth 6150, Australia; (M.C.); (S.C.); (T.W.)
- Perron Institute for Neurological and Translational Science, Perth 6150, Australia
- Correspondence:
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55
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Iverson GL, Gardner AJ, Shultz SR, Solomon GS, McCrory P, Zafonte R, Perry G, Hazrati LN, Keene CD, Castellani RJ. Chronic traumatic encephalopathy neuropathology might not be inexorably progressive or unique to repetitive neurotrauma. Brain 2020; 142:3672-3693. [PMID: 31670780 PMCID: PMC6906593 DOI: 10.1093/brain/awz286] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 07/01/2019] [Accepted: 07/15/2019] [Indexed: 12/11/2022] Open
Abstract
In the 20th century, chronic traumatic encephalopathy (CTE) was conceptualized as a neurological disorder affecting some active and retired boxers who had tremendous exposure to neurotrauma. In recent years, the two research groups in the USA who have led the field have asserted definitively that CTE is a delayed-onset and progressive neurodegenerative disease, with symptoms appearing in midlife or decades after exposure. Between 2005 and 2012 autopsy cases of former boxers and American football players described neuropathology attributed to CTE that was broad and diverse. This pathology, resulting from multiple causes, was aggregated and referred to, in toto, as the pathology ‘characteristic’ of CTE. Preliminary consensus criteria for defining the neuropathology of CTE were forged in 2015 and published in 2016. Most of the macroscopic and microscopic neuropathological findings described as characteristic of CTE, in studies published before 2016, were not included in the new criteria for defining the pathology. In the past few years, there has been steadily emerging evidence that the neuropathology described as unique to CTE may not be unique. CTE pathology has been described in individuals with no known participation in collision or contact sports and no known exposure to repetitive neurotrauma. This pathology has been reported in individuals with substance abuse, temporal lobe epilepsy, amyotrophic lateral sclerosis, multiple system atrophy, and other neurodegenerative diseases. Moreover, throughout history, some clinical cases have been described as not being progressive, and there is now evidence that CTE neuropathology might not be progressive in some individuals. Considering the current state of knowledge, including the absence of a series of validated sensitive and specific biomarkers, CTE pathology might not be inexorably progressive or specific to those who have experienced repetitive neurotrauma.
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Affiliation(s)
- Grant L Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.,Spaulding Rehabilitation Hospital and Spaulding Research Institute, Boston, Massachusetts, USA.,MassGeneral Hospital for Children™ Sports Concussion Program, Boston, Massachusetts, USA.,Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, Massachusetts, USA
| | - Andrew J Gardner
- Hunter New England Local Health District, Sports Concussion Program, University of Newcastle, Callaghan, NSW, Australia.,Centre for Stroke and Brain Injury, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Gary S Solomon
- Department of Neurological Surgery, Orthopaedic Surgery and Rehabilitation, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.,Vanderbilt Sports Concussion Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Paul McCrory
- The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre - Austin Campus, Heidelberg, Victoria Australia
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.,Spaulding Rehabilitation Hospital and Spaulding Research Institute, Boston, Massachusetts, USA.,Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, Massachusetts, USA
| | - George Perry
- College of Sciences, University of Texas, San Antonio; San Antonio, Texas, USA
| | - Lili-Naz Hazrati
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - C Dirk Keene
- Department of Pathology, Division of Neuropathology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Rudolph J Castellani
- Department of Pathology, Anatomy and Laboratory Medicine, West Virginia University School of Medicine, Morgantown, USA.,Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University School of Medicine, Morgantown, USA
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Fischer I, Baas PW. Resurrecting the Mysteries of Big Tau. Trends Neurosci 2020; 43:493-504. [PMID: 32434664 DOI: 10.1016/j.tins.2020.04.007] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 03/28/2020] [Accepted: 04/20/2020] [Indexed: 12/16/2022]
Abstract
Tau, a microtubule-associated protein that modifies the dynamic properties and organization of microtubules in neurons and affects axonal transport, shows remarkable heterogeneity, with multiple isoforms (45-65 kDa) generated by alternative splicing. A high-molecular-weight (HMW) isoform (110 kDa) that contains an additional large exon termed 4a was discovered more than 25 years ago. This isoform, called Big tau, is expressed mainly in the adult peripheral nervous system (PNS), but also in adult neurons of the central nervous system (CNS) that extend processes into the periphery. Surprisingly little has been learned about Big tau since its initial characterization, leaving a significant gap in knowledge about how the dramatic switch to Big tau affects the properties of neurons in the context of development, disease, or injury. Here we review what was learned about the structure and distribution of Big tau in those earlier studies, and add contemporary insights to resurrect interest in the mysteries of Big tau and thereby set a path for future studies.
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Affiliation(s)
- Itzhak Fischer
- Drexel University College of Medicine, Department of Neurobiology and Anatomy, 2900 Queen Lane, Philadelphia, PA 19129, USA.
| | - Peter W Baas
- Drexel University College of Medicine, Department of Neurobiology and Anatomy, 2900 Queen Lane, Philadelphia, PA 19129, USA.
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57
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Sinsky J, Majerova P, Kovac A, Kotlyar M, Jurisica I, Hanes J. Physiological Tau Interactome in Brain and Its Link to Tauopathies. J Proteome Res 2020; 19:2429-2442. [PMID: 32357304 DOI: 10.1021/acs.jproteome.0c00137] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Alzheimer's disease (AD) and most of the other tauopathies are incurable neurodegenerative diseases with unpleasant symptoms and consequences. The common hallmark of all of these diseases is tau pathology, but its connection with disease progress has not been completely understood so far. Therefore, uncovering novel tau-interacting partners and pathology affected molecular pathways can reveal the causes of diseases as well as potential targets for the development of AD treatment. Despite the large number of known tau-interacting partners, a limited number of studies focused on in vivo tau interactions in disease or healthy conditions are available. Here, we applied an in vivo cross-linking approach, capable of capturing weak and transient protein-protein interactions, to a unique transgenic rat model of progressive tau pathology similar to human AD. We have identified 175 potential novel and known tau-interacting proteins by MALDI-TOF mass spectrometry. Several of the most promising candidates for possible drug development were selected for validation by coimmunoprecipitation and colocalization experiments in animal and cellular models. Three proteins, Baiap2, Gpr37l1, and Nptx1, were confirmed as novel tau-interacting partners, and on the basis of their known functions and implications in neurodegenerative or psychiatric disorders, we proposed their potential role in tau pathology.
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Affiliation(s)
- Jakub Sinsky
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava 84510, Slovakia
| | - Petra Majerova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava 84510, Slovakia.,AXON Neuroscience R&D Services SE, Dvorakovo nabrezie 10, Bratislava 811 02, Slovakia
| | - Andrej Kovac
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava 84510, Slovakia.,AXON Neuroscience R&D Services SE, Dvorakovo nabrezie 10, Bratislava 811 02, Slovakia
| | - Max Kotlyar
- Krembil Research Institute, UHN, 60 Leonard Avenue, Toronto, Ontario M5T 0S8, Canada
| | - Igor Jurisica
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava 84510, Slovakia.,Krembil Research Institute, UHN, 60 Leonard Avenue, Toronto, Ontario M5T 0S8, Canada.,Departments of Medical Biophysics and Computer Science, University of Toronto, 27 King's College Circle, Toronto, Ontario ON M5S, Canada
| | - Jozef Hanes
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava 84510, Slovakia.,AXON Neuroscience R&D Services SE, Dvorakovo nabrezie 10, Bratislava 811 02, Slovakia
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58
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Kaeser GE, Chun J. Mosaic Somatic Gene Recombination as a Potentially Unifying Hypothesis for Alzheimer's Disease. Front Genet 2020; 11:390. [PMID: 32457796 PMCID: PMC7221065 DOI: 10.3389/fgene.2020.00390] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 03/27/2020] [Indexed: 12/11/2022] Open
Abstract
The recent identification of somatic gene recombination(SGR) in human neurons affecting the well-known Alzheimer's disease (AD) pathogenic gene, amyloid precursor protein (APP), has implications for the normal and the diseased human brain. The amyloid hypothesis has been the prevailing theory for sporadic AD (SAD) pathogenesis since the discovery of APP gene involvement in familial AD and Down syndrome. Yet, despite enormous scientific and clinical effort, no disease-modifying therapy has emerged. SGR offers a novel mechanism to explain AD pathogenesis and the failures of amyloid-related clinical trials, while maintaining consistency with most aspects of the amyloid hypothesis and additionally supporting possible roles for tau, oxidative stress, inflammation, infection, and prions. SGR retro-inserts novel "genomic complementary DNAs" (gencDNAs) into neuronal genomes and becomes dysregulated in SAD, producing numerous mosaic APP variants, including DNA mutations observed in familial AD. Notably, SGR requires gene transcription, DNA strand-breaks, and reverse transcriptase (RT) activity, all of which may be promoted by well-known AD risk factors and provide a framework for the pursuit of new SGR-based therapeutics. In this perspective, we review evidence for APP SGR in AD pathogenesis and discuss its possible relevance to other AD-related dementias. Further, SGR's requirement for RT activity and the relative absence of AD in aged HIV -infected patients exposed to RT inhibitors suggest that these Food and Drug Administration (FDA)-approved drugs may represent a near-term disease-modifying therapy for AD.
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Affiliation(s)
| | - Jerold Chun
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States
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59
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60
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Jonsson BA, Bjornsdottir G, Thorgeirsson TE, Ellingsen LM, Walters GB, Gudbjartsson DF, Stefansson H, Stefansson K, Ulfarsson MO. Brain age prediction using deep learning uncovers associated sequence variants. Nat Commun 2019; 10:5409. [PMID: 31776335 PMCID: PMC6881321 DOI: 10.1038/s41467-019-13163-9] [Citation(s) in RCA: 163] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 10/21/2019] [Indexed: 02/08/2023] Open
Abstract
Machine learning algorithms can be trained to estimate age from brain structural MRI. The difference between an individual’s predicted and chronological age, predicted age difference (PAD), is a phenotype of relevance to aging and brain disease. Here, we present a new deep learning approach to predict brain age from a T1-weighted MRI. The method was trained on a dataset of healthy Icelanders and tested on two datasets, IXI and UK Biobank, utilizing transfer learning to improve accuracy on new sites. A genome-wide association study (GWAS) of PAD in the UK Biobank data (discovery set: \documentclass[12pt]{minimal}
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\begin{document}$$N=4456$$\end{document}N=4456) yielded two sequence variants, rs1452628-T (\documentclass[12pt]{minimal}
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\begin{document}$$P=1.15\times{10}^{-9}$$\end{document}P=1.15×10−9) and rs2435204-G (\documentclass[12pt]{minimal}
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\begin{document}$$P=9.73\times 1{0}^{-12}$$\end{document}P=9.73×10−12). The former is near KCNK2 and correlates with reduced sulcal width, whereas the latter correlates with reduced white matter surface area and tags a well-known inversion at 17q21.31 (H2). Machine learning algorithms can be trained to estimate age from brain structural MRI. Here, the authors introduce a new deep-learning-based age prediction approach, and then carry out a GWAS of the difference between predicted and chronological age, revealing two associated variants.
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Affiliation(s)
- B A Jonsson
- deCODE Genetics/Amgen, Inc., 101, Reykjavik, Iceland.,University of Iceland, 101, Reykjavik, Iceland
| | | | | | | | - G Bragi Walters
- deCODE Genetics/Amgen, Inc., 101, Reykjavik, Iceland.,University of Iceland, 101, Reykjavik, Iceland
| | - D F Gudbjartsson
- deCODE Genetics/Amgen, Inc., 101, Reykjavik, Iceland.,University of Iceland, 101, Reykjavik, Iceland
| | - H Stefansson
- deCODE Genetics/Amgen, Inc., 101, Reykjavik, Iceland
| | - K Stefansson
- deCODE Genetics/Amgen, Inc., 101, Reykjavik, Iceland. .,University of Iceland, 101, Reykjavik, Iceland.
| | - M O Ulfarsson
- deCODE Genetics/Amgen, Inc., 101, Reykjavik, Iceland. .,University of Iceland, 101, Reykjavik, Iceland.
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Rush T, Roth JR, Thompson SJ, Aldaher AR, Cochran JN, Roberson ED. A peptide inhibitor of Tau-SH3 interactions ameliorates amyloid-β toxicity. Neurobiol Dis 2019; 134:104668. [PMID: 31698056 PMCID: PMC7877553 DOI: 10.1016/j.nbd.2019.104668] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 10/27/2019] [Accepted: 11/02/2019] [Indexed: 01/08/2023] Open
Abstract
The microtubule-associated protein Tau is strongly implicated in Alzheimer’s disease (AD) and aggregates into neurofibrillary tangles in AD. Genetic reduction of Tau is protective in several animal models of AD and cell culture models of amyloid-β (Aβ) toxicity, making it an exciting therapeutic target for treating AD. A variety of evidence indicates that Tau’s interactions with Fyn kinase and other SH3 domain–containing proteins, which bind to PxxP motifs in Tau’s proline-rich domain, may contribute to AD deficits and Aβ toxicity. Thus, we sought to determine if inhibiting Tau-SH3 interactions ameliorates Aβ toxicity. We developed a peptide inhibitor of Tau-SH3 interactions and a proximity ligation assay (PLA)-based target engagement assay. Then, we used membrane trafficking and neurite degeneration assays to determine if inhibiting Tau-SH3 interactions ameliorated Aβ oligomer (Aβo)-induced toxicity in primary hippocampal neurons from rats. We verified that Tau reduction ameliorated Aβo toxicity in neurons. Using PLA, we identified a peptide inhibitor that reduced Tau-SH3 interactions in HEK-293 cells and primary neurons. This peptide reduced Tau phosphorylation by Fyn without affecting Fyn’s kinase activity state. In primary neurons, endogenous Tau-Fyn interaction was present primarily in neurites and was reduced by the peptide inhibitor, from which we inferred target engagement. Reducing Tau-SH3 interactions in neurons ameliorated Aβo toxicity by multiple outcome measures, namely Aβo-induced membrane trafficking abnormalities and neurite degeneration. Our results indicate that Tau-SH3 interactions are critical for Aβo toxicity and that inhibiting them is a promising therapeutic target for AD.
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Affiliation(s)
- Travis Rush
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Evelyn F. McKnight Brain Institute, Departments of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jonathan R Roth
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Evelyn F. McKnight Brain Institute, Departments of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Samantha J Thompson
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Evelyn F. McKnight Brain Institute, Departments of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Adam R Aldaher
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Evelyn F. McKnight Brain Institute, Departments of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - J Nicholas Cochran
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Evelyn F. McKnight Brain Institute, Departments of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Erik D Roberson
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Evelyn F. McKnight Brain Institute, Departments of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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Evangelou E, Gao H, Chu C, Ntritsos G, Blakeley P, Butts AR, Pazoki R, Suzuki H, Koskeridis F, Yiorkas AM, Karaman I, Elliott J, Luo Q, Aeschbacher S, Bartz TM, Baumeister SE, Braund PS, Brown MR, Brody JA, Clarke TK, Dimou N, Faul JD, Homuth G, Jackson AU, Kentistou KA, Joshi PK, Lemaitre RN, Lind PA, Lyytikäinen LP, Mangino M, Milaneschi Y, Nelson CP, Nolte IM, Perälä MM, Polasek O, Porteous D, Ratliff SM, Smith JA, Stančáková A, Teumer A, Tuominen S, Thériault S, Vangipurapu J, Whitfield JB, Wood A, Yao J, Yu B, Zhao W, Arking DE, Auvinen J, Liu C, Männikkö M, Risch L, Rotter JI, Snieder H, Veijola J, Blakemore AI, Boehnke M, Campbell H, Conen D, Eriksson JG, Grabe HJ, Guo X, van der Harst P, Hartman CA, Hayward C, Heath AC, Jarvelin MR, Kähönen M, Kardia SLR, Kühne M, Kuusisto J, Laakso M, Lahti J, Lehtimäki T, McIntosh AM, Mohlke KL, Morrison AC, Martin NG, Oldehinkel AJ, Penninx BWJH, Psaty BM, Raitakari OT, Rudan I, Samani NJ, Scott LJ, Spector TD, Verweij N, Weir DR, Wilson JF, Levy D, Tzoulaki I, Bell JD, Matthews PM, Rothenfluh A, Desrivières S, Schumann G, Elliott P. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav 2019; 3:950-961. [PMID: 31358974 PMCID: PMC7711277 DOI: 10.1038/s41562-019-0653-z] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 06/11/2019] [Indexed: 12/19/2022]
Abstract
Excessive alcohol consumption is one of the main causes of death and disability worldwide. Alcohol consumption is a heritable complex trait. Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d-1) from the UK Biobank, the Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, collecting data from 480,842 people of European descent to decipher the genetic architecture of alcohol intake. We identified 46 new common loci and investigated their potential functional importance using magnetic resonance imaging data and gene expression studies. We identify genetic pathways associated with alcohol consumption and suggest genetic mechanisms that are shared with neuropsychiatric disorders such as schizophrenia.
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Affiliation(s)
- Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - He Gao
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Congying Chu
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Georgios Ntritsos
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Paul Blakeley
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- NIHR Imperial Biomedical Research Centre, ITMAT Data Science Group, Imperial College London, London, UK
| | - Andrew R Butts
- Molecular Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Raha Pazoki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Hideaki Suzuki
- Centre for Restorative Neurosciences, Division of Brain Sciences, Department of Medicine, Hammersmith Campus, Imperial College London, London, UK
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fotios Koskeridis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Andrianos M Yiorkas
- Department of Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Ibrahim Karaman
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Joshua Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Qiang Luo
- Institute of Science and Technology for Brain-Inspired Intelligence, MOE-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychology and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | | | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sebastian E Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universitat Munchen, UNIKA-T Augsburg, Augsburg, Germany
| | - Peter S Braund
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Toni-Kim Clarke
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Niki Dimou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and LHealth Technology, Tampere University, Tampere, Finland
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre, Guy's and St Thomas Foundation Trust, London, UK
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mia-Maria Perälä
- Folkhälsan Research Center, Helsinki, Finland
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split, Croatia
| | - David Porteous
- Generation Scotland, Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK
| | - Scott M Ratliff
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Samuli Tuominen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sébastien Thériault
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Department of Molecular Biology, Medical Biochemistry and Pathology, Laval University, Quebec City, Quebec, Canada
| | - Jagadish Vangipurapu
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Alexis Wood
- Department of Pediatrics/Nutrition, Baylor College of Medicine, Houston, TX, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Juha Auvinen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Oulunkaari Health Center, Ii, Finland
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Minna Männikkö
- Northern Finland Birth Cohorts, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Lorenz Risch
- Institute of Clinical Chemistry, Inselspital Bern, University Hospital, University of Bern, Bern, Switzerland
- Labormedizinisches Zentrum Dr. Risch, Vaduz, Liechtenstein
- Private University of the Principality of Liechtenstein, Triesen, Liechtenstein
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
- Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
- Medical research Center Oulu, University and University Hospital of Oulu, Oulu, Finland
| | - Alexandra I Blakemore
- Department of Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, the Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Andrew C Heath
- Department of Psychiatry, School of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Michael Kühne
- Cardiology Division, University Hospital Basel, Basel, Switzerland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and LHealth Technology, Tampere University, Tampere, Finland
| | - Andrew M McIntosh
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Albertine J Oldehinkel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Laura J Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Jimmy D Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Paul M Matthews
- Centre for Restorative Neurosciences, Division of Brain Sciences, Department of Medicine, Hammersmith Campus, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Adrian Rothenfluh
- Molecular Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
- Departments of Psychiatry, Neurobiology & Anatomy, Human Genetics, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin, Germany and Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P.R. China.
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
- UK Dementia Research Institute, Imperial College London, London, UK.
- National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare NHS Trust and Imperial College London, London, UK.
- Health Data Research UK London Substantive Site, London, UK.
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63
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Palencia-Madrid L, Sánchez-Valle R, Fernández de Retana I, Borrego S, Grau-Rivera O, Reñé R, Hernández I, Almenar C, Rossi G, Caroppo P, Redaelli V, Le Ber I, Camuzat A, Brice A, Antonell A, Balasa M, Gelpi E, Lladó A, de Pancorbo MM. A unique common ancestor introduced P301L mutation in MAPT gene in frontotemporal dementia patients from Barcelona (Baix Llobregat, Spain). Neurobiol Aging 2019; 84:236.e9-236.e15. [PMID: 31537395 DOI: 10.1016/j.neurobiolaging.2019.08.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 05/12/2019] [Accepted: 08/14/2019] [Indexed: 11/16/2022]
Abstract
The County of Baix Llobregat (Barcelona, Catalonia, Spain) presents a high prevalence of familial frontotemporal dementia (FTD) in the presence of P301L mutation in the MAPT gene. To evaluate a possible unique founder effect of P301L, and its age, the analysis of 20 single-nucleotide polymorphisms covering 50 kb and 12 single-nucleotide polymorphisms located along 30 Mb around the mutation was performed by developing 2 multiplex single-base extension reactions. In addition, families with affected and healthy individuals from France and Italy were analyzed. The FTD-affected individuals from Barcelona carried the same 50-kb haplotype linked to P301L mutation, suggesting a unique common ancestor, as opposed to French patients. Italian patients are also probably descendants of a unique ancestor, which would be different from that of Barcelona. Diversity of 30-Mb haplotypes found in Barcelona and the inference of the mutation age in these populations, among other reasons, suggest that prevalence of FTD linked to P301L MAPT mutation is the result of a locally originated mutation.
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Affiliation(s)
- Leire Palencia-Madrid
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Raquel Sánchez-Valle
- Neurology Department, Alzheimer's Disease and other Cognitive Disorders Unit, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Ierai Fernández de Retana
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Sergi Borrego
- Neurology Department, Alzheimer's Disease and other Cognitive Disorders Unit, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Oriol Grau-Rivera
- Neurological Tissue Bank of the Biobanc, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Ramón Reñé
- Neurology Department, Hospital Universitario de Bellvitge, Barcelona, Spain
| | - Isabel Hernández
- Memory Clinic of Fundació ACE, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Consuelo Almenar
- Department of Neurology, Hospital Benito Menni, Sant Boi de Llobregat, Barcelona, Spain
| | - Giacomina Rossi
- Unit of Neurology V and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Paola Caroppo
- Unit of Neurology V and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Veronica Redaelli
- Unit of Neurology V and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Isabelle Le Ber
- Département de Neurologie, Centre de Référence des Démences Rares ou Précoces, Institute of Memory and Alzheimer's Disease, APHP, Centre Référent SLA, Hôpital Pitié-Salpêtrière, Paris, France; Institut du Cerveau et de la Moelle Épinière, Sorbonne Université, INSERM U1127, CNRS UMR 7225, Hôpital Pitié-Salpêtrière, Paris, France
| | - Agnès Camuzat
- Département de Neurologie, Centre de Référence des Démences Rares ou Précoces, Institute of Memory and Alzheimer's Disease, APHP, Centre Référent SLA, Hôpital Pitié-Salpêtrière, Paris, France
| | - Alexis Brice
- Département de Neurologie, Centre de Référence des Démences Rares ou Précoces, Institute of Memory and Alzheimer's Disease, APHP, Centre Référent SLA, Hôpital Pitié-Salpêtrière, Paris, France
| | - Anna Antonell
- Neurology Department, Alzheimer's Disease and other Cognitive Disorders Unit, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Mircea Balasa
- Neurology Department, Alzheimer's Disease and other Cognitive Disorders Unit, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Ellen Gelpi
- Neurological Tissue Bank of the Biobanc, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Albert Lladó
- Neurology Department, Alzheimer's Disease and other Cognitive Disorders Unit, Hospital Clínic-IDIBAPS, Barcelona, Spain
| | - Marian M de Pancorbo
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain.
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64
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Gossye H, Van Broeckhoven C, Engelborghs S. The Use of Biomarkers and Genetic Screening to Diagnose Frontotemporal Dementia: Evidence and Clinical Implications. Front Neurosci 2019; 13:757. [PMID: 31447625 PMCID: PMC6691066 DOI: 10.3389/fnins.2019.00757] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 07/08/2019] [Indexed: 12/12/2022] Open
Abstract
Within the wide range of neurodegenerative brain diseases, the differential diagnosis of frontotemporal dementia (FTD) frequently poses a challenge. Often, signs and symptoms are not characteristic of the disease and may instead reflect atypical presentations. Consequently, the use of disease biomarkers is of importance to correctly identify the patients. Here, we describe how neuropsychological characteristics, neuroimaging and neurochemical biomarkers and screening for causal gene mutations can be used to differentiate FTD from other neurodegenerative diseases as well as to distinguish between FTD subtypes. Summarizing current evidence, we propose a stepwise approach in the diagnostic evaluation. Clinical consensus criteria that take into account a full neuropsychological examination have relatively good accuracy (sensitivity [se] 75–95%, specificity [sp] 82–95%) to diagnose FTD, although misdiagnosis (mostly AD) is common. Structural brain MRI (se 70–94%, sp 89–99%) and FDG PET (se 47–90%, sp 68–98%) or SPECT (se 36–100%, sp 41–100%) brain scans greatly increase diagnostic accuracy, showing greater involvement of frontal and anterior temporal lobes, with sparing of hippocampi and medial temporal lobes. If these results are inconclusive, we suggest detecting amyloid and tau cerebrospinal fluid (CSF) biomarkers that can indicate the presence of AD with good accuracy (se 74–100%, sp 82–97%). The use of P-tau181 and the Aβ1–42/Aβ1–40 ratio significantly increases the accuracy of correctly identifying FTD vs. AD. Alternatively, an amyloid brain PET scan can be performed to differentiate FTD from AD. When autosomal dominant inheritance is suspected, or in early onset dementia, mutation screening of causal genes is indicated and may also be offered to at-risk family members. We have summarized genotype–phenotype correlations for several genes that are known to cause familial frontotemporal lobar degeneration, which is the neuropathological substrate of FTD. The genes most commonly associated with this disease (C9orf72, MAPT, GRN, TBK1) are discussed, as well as some less frequent ones (CHMP2B, VCP). Several other techniques, such as diffusion tensor imaging, tau PET imaging and measuring serum neurofilament levels, show promise for future implementation as diagnostic biomarkers.
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Affiliation(s)
- Helena Gossye
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Institute Born - Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Center for Neurosciences, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Institute Born - Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Institute Born - Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Center for Neurosciences, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
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65
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Piatnitskaia S, Takahashi M, Kitaura H, Katsuragi Y, Kakihana T, Zhang L, Kakita A, Iwakura Y, Nawa H, Miura T, Ikeuchi T, Hara T, Fujii M. USP10 is a critical factor for Tau-positive stress granule formation in neuronal cells. Sci Rep 2019; 9:10591. [PMID: 31332267 PMCID: PMC6646309 DOI: 10.1038/s41598-019-47033-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 07/08/2019] [Indexed: 12/31/2022] Open
Abstract
Tau aggregates in neurons of brain lesions is a hallmark pathology of tauopathies, including Alzheimer’s disease (AD). Recent studies suggest that the RNA-binding protein TIA1 initiates Tau aggregation by inducing the formation of stress granules (SGs) containing Tau. SGs are stress-inducible cytoplasmic protein aggregates containing many RNA-binding proteins that has been implicated as an initial site of multiple pathogenic protein aggregates in several neurodegenerative diseases. In this study, we found that ubiquitin-specific protease 10 (USP10) is a critical factor for the formation of Tau/TIA1/USP10-positive SGs. Proteasome inhibition or TIA1-overexpression in HT22 neuronal cells induced the formation of TIA1/Tau-positive SGs, and the formations were severely attenuated by depletion of USP10. In addition, the overexpression of USP10 without stress stimuli in HT22 cells induced TIA1/Tau/USP10-positive SGs in a deubiquitinase-independent manner. In AD brain lesions, USP10 was colocalized with Tau aggregates in the cell body of neurons. The present findings suggest that USP10 plays a key role in the initiation of pathogenic Tau aggregation in AD through SG formation.
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Affiliation(s)
- Svetlana Piatnitskaia
- Division of Virology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8510, Japan
| | - Masahiko Takahashi
- Division of Virology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8510, Japan
| | - Hiroki Kitaura
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Yoshinori Katsuragi
- Division of Virology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8510, Japan
| | - Taichi Kakihana
- Division of Virology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8510, Japan
| | - Lu Zhang
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Yuriko Iwakura
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Hiroyuki Nawa
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Takeshi Miura
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Toshifumi Hara
- Department of Medicinal Biochemistry, School of Pharmacy, Aichi Gakuin University, Nagoya, Japan
| | - Masahiro Fujii
- Division of Virology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8510, Japan.
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Hedl TJ, San Gil R, Cheng F, Rayner SL, Davidson JM, De Luca A, Villalva MD, Ecroyd H, Walker AK, Lee A. Proteomics Approaches for Biomarker and Drug Target Discovery in ALS and FTD. Front Neurosci 2019; 13:548. [PMID: 31244593 PMCID: PMC6579929 DOI: 10.3389/fnins.2019.00548] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 05/13/2019] [Indexed: 12/11/2022] Open
Abstract
Neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are increasing in prevalence but lack targeted therapeutics. Although the pathological mechanisms behind these diseases remain unclear, both ALS and FTD are characterized pathologically by aberrant protein aggregation and inclusion formation within neurons, which correlates with neurodegeneration. Notably, aggregation of several key proteins, including TAR DNA binding protein of 43 kDa (TDP-43), superoxide dismutase 1 (SOD1), and tau, have been implicated in these diseases. Proteomics methods are being increasingly applied to better understand disease-related mechanisms and to identify biomarkers of disease, using model systems as well as human samples. Proteomics-based approaches offer unbiased, high-throughput, and quantitative results with numerous applications for investigating proteins of interest. Here, we review recent advances in the understanding of ALS and FTD pathophysiology obtained using proteomics approaches, and we assess technical and experimental limitations. We compare findings from various mass spectrometry (MS) approaches including quantitative proteomics methods such as stable isotope labeling by amino acids in cell culture (SILAC) and tandem mass tagging (TMT) to approaches such as label-free quantitation (LFQ) and sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS) in studies of ALS and FTD. Similarly, we describe disease-related protein-protein interaction (PPI) studies using approaches including immunoprecipitation mass spectrometry (IP-MS) and proximity-dependent biotin identification (BioID) and discuss future application of new techniques including proximity-dependent ascorbic acid peroxidase labeling (APEX), and biotinylation by antibody recognition (BAR). Furthermore, we explore the use of MS to detect post-translational modifications (PTMs), such as ubiquitination and phosphorylation, of disease-relevant proteins in ALS and FTD. We also discuss upstream technologies that enable enrichment of proteins of interest, highlighting the contributions of new techniques to isolate disease-relevant protein inclusions including flow cytometric analysis of inclusions and trafficking (FloIT). These recently developed approaches, as well as related advances yet to be applied to studies of these neurodegenerative diseases, offer numerous opportunities for discovery of potential therapeutic targets and biomarkers for ALS and FTD.
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Affiliation(s)
- Thomas J Hedl
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Rebecca San Gil
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Flora Cheng
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Stephanie L Rayner
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Jennilee M Davidson
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Alana De Luca
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Maria D Villalva
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Heath Ecroyd
- School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, NSW, Australia.,Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia
| | - Adam K Walker
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia.,Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Albert Lee
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
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67
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Vasili E, Dominguez-Meijide A, Outeiro TF. Spreading of α-Synuclein and Tau: A Systematic Comparison of the Mechanisms Involved. Front Mol Neurosci 2019; 12:107. [PMID: 31105524 PMCID: PMC6494944 DOI: 10.3389/fnmol.2019.00107] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 04/09/2019] [Indexed: 01/01/2023] Open
Abstract
Alzheimer's disease (AD) and Parkinson's disease (PD) are age-associated neurodegenerative disorders characterized by the misfolding and aggregation of alpha-synuclein (aSyn) and tau, respectively. The coexistence of aSyn and tau aggregates suggests a strong overlap between tauopathies and synucleinopathies. Interestingly, misfolded forms of aSyn and tau can propagate from cell to cell, and throughout the brain, thereby templating the misfolding of native forms of the proteins. The exact mechanisms involved in the propagation of the two proteins show similarities, and are reminiscent of the spreading characteristic of prion diseases. Recently, several models were developed to study the spreading of aSyn and tau. Here, we discuss the mechanisms involved, the similarities and differences between the spreading of the two proteins and that of the prion protein, and the different cell and animal models used for studying these processes. Ultimately, a deeper understanding of the molecular mechanisms involved may lead to the identification of novel targets for therapeutic intervention in a variety of devastating neurodegenerative diseases.
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Affiliation(s)
- Eftychia Vasili
- Department of Experimental Neurodegeneration, Center for Nanoscale Microscopy and Molecular Physiology of the Brain, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Goettingen, Germany
| | - Antonio Dominguez-Meijide
- Department of Experimental Neurodegeneration, Center for Nanoscale Microscopy and Molecular Physiology of the Brain, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Goettingen, Germany
| | - Tiago Fleming Outeiro
- Department of Experimental Neurodegeneration, Center for Nanoscale Microscopy and Molecular Physiology of the Brain, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Goettingen, Germany.,Max Planck Institute for Experimental Medicine, Goettingen, Germany.,The Medical School, Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, United Kingdom
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68
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Fenoglio C, Scarpini E, Serpente M, Galimberti D. Role of Genetics and Epigenetics in the Pathogenesis of Alzheimer's Disease and Frontotemporal Dementia. J Alzheimers Dis 2019; 62:913-932. [PMID: 29562532 PMCID: PMC5870004 DOI: 10.3233/jad-170702] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Alzheimer’s disease (AD) and frontotemporal dementia (FTD) represent the first cause of dementia in senile and pre-senile population, respectively. A percentage of cases have a genetic cause, inherited with an autosomal dominant pattern of transmission. The majority of cases, however, derive from complex interactions between a number of genetic and environmental factors. Gene variants may act as risk or protective factors. Their combination with a variety of environmental exposures may result in increased susceptibility to these diseases or may influence their course. The scenario is even more complicated considering the effect of epigenetics, which encompasses mechanisms able to alter the expression of genes without altering the DNA sequence. In this review, an overview of the current genetic and epigenetic progresses in AD and FTD will be provided, with particular focus on 1) causative genes, 2) genetic risk factors and disease modifiers, and 3) epigenetics, including methylation, non-coding RNAs and chromatin remodeling.
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Affiliation(s)
- Chiara Fenoglio
- Department of Pathophysiology and Transplantation, University of Milan, Centro Dino Ferrari, Fondazione Cá Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Elio Scarpini
- Department of Pathophysiology and Transplantation, University of Milan, Centro Dino Ferrari, Fondazione Cá Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Maria Serpente
- Department of Pathophysiology and Transplantation, University of Milan, Centro Dino Ferrari, Fondazione Cá Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Galimberti
- Department of Pathophysiology and Transplantation, University of Milan, Centro Dino Ferrari, Fondazione Cá Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
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69
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Croft CL, Cruz PE, Ryu DH, Ceballos-Diaz C, Strang KH, Woody BM, Lin WL, Deture M, Rodríguez-Lebrón E, Dickson DW, Chakrabarty P, Levites Y, Giasson BI, Golde TE. rAAV-based brain slice culture models of Alzheimer's and Parkinson's disease inclusion pathologies. J Exp Med 2019; 216:539-555. [PMID: 30770411 PMCID: PMC6400529 DOI: 10.1084/jem.20182184] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 01/09/2019] [Accepted: 01/10/2019] [Indexed: 01/15/2023] Open
Abstract
It has been challenging to produce ex vivo models of the inclusion pathologies that are hallmark pathologies of many neurodegenerative diseases. Using three-dimensional mouse brain slice cultures (BSCs), we have developed a paradigm that rapidly and robustly recapitulates mature neurofibrillary inclusion and Lewy body formation found in Alzheimer's and Parkinson's disease, respectively. This was achieved by transducing the BSCs with recombinant adeno-associated viruses (rAAVs) that express α-synuclein or variants of tau. Notably, the tauopathy BSC model enables screening of small molecule therapeutics and tracking of neurodegeneration. More generally, the rAAV BSC "toolkit" enables efficient transduction and transgene expression from neurons, microglia, astrocytes, and oligodendrocytes, alone or in combination, with transgene expression lasting for many months. These rAAV-based BSC models provide a cost-effective and facile alternative to in vivo studies, and in the future can become a widely adopted methodology to explore physiological and pathological mechanisms related to brain function and dysfunction.
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Affiliation(s)
- Cara L Croft
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL
| | - Pedro E Cruz
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL
| | - Daniel H Ryu
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL
| | - Carolina Ceballos-Diaz
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL
| | - Kevin H Strang
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL
| | - Brittany M Woody
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL
| | - Wen-Lang Lin
- Department of Neuroscience, Mayo Clinic Jacksonville, Jacksonville, FL
| | - Michael Deture
- Department of Neuroscience, Mayo Clinic Jacksonville, Jacksonville, FL
| | - Edgardo Rodríguez-Lebrón
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL.,Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic Jacksonville, Jacksonville, FL
| | - Paramita Chakrabarty
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL.,McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL
| | - Yona Levites
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL.,McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL
| | - Benoit I Giasson
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL.,McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL
| | - Todd E Golde
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL.,McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL
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Harrison IF, Whitaker R, Bertelli PM, O’Callaghan JM, Csincsik L, Bocchetta M, Ma D, Fisher A, Ahmed Z, Murray TK, O’Neill MJ, Rohrer JD, Lythgoe MF, Lengyel I. Optic nerve thinning and neurosensory retinal degeneration in the rTg4510 mouse model of frontotemporal dementia. Acta Neuropathol Commun 2019; 7:4. [PMID: 30616676 PMCID: PMC6322294 DOI: 10.1186/s40478-018-0654-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 12/20/2018] [Indexed: 01/09/2023] Open
Abstract
Visual impairments, such as difficulties in reading and finding objects, perceiving depth and structure from motion, and impaired stereopsis, have been reported in tauopathy disorders, such as frontotemporal dementia (FTD). These impairments however have been previously attributed to cortical pathologies rather than changes in the neurosensory retina or the optic nerve. Here, we examined tau pathology in the neurosensory retina of the rTg(tauP301L)4510 mouse model of FTD. Optic nerve pathology in mice was also assessed using MRI, and corresponding measurements taken in a cohort of five FTD sufferers and five healthy controls. rTg(tauP301L)4510 mice were imaged (T2-weighted MRI) prior to being terminally anesthetized and eyes and brains removed for immunohistochemical and histological analysis. Central and peripheral retinal labelling of tau and phosphorylated tau (pTau) was quantified and retinal layer thicknesses and cell numbers assessed. MR volumetric changes of specific brain regions and the optic nerve were compared to tau accumulation and cell loss in the visual pathway. In addition, the optic nerves of a cohort of healthy controls and behavioural variant FTD patients, were segmented from T1- and T2-weighted images for volumetric study. Accumulation of tau and pTau were observed in both the central and peripheral retinal ganglion cell (RGC), inner plexiform and inner nuclear layers of the neurosensory retina of rTg(tauP301L)4510 mice. This pathology was associated with reduced nuclear density (− 24.9 ± 3.4%) of the central RGC layer, and a reduced volume (− 19.3 ± 4.6%) and elevated T2 signal (+ 27.1 ± 1.8%) in the optic nerve of the transgenic mice. Significant atrophy of the cortex (containing the visual cortex) was observed but not in other area associated with visual processing, e.g. the lateral geniculate nucleus or superior colliculus. Atrophic changes in optic nerve volume were similarly observed in FTD patients (− 36.6 ± 2.6%). The association between tau-induced changes in the neurosensory retina and reduced optic nerve volume in mice, combined with the observation of optic nerve atrophy in clinical FTD suggests that ophthalmic tau pathology may also exist in the eyes of FTD patients. If tau pathology and neurodegeneration in the retina were to reflect the degree of cortical tau burden, then cost-effective and non-invasive imaging of the neurosensory retina could provide valuable biomarkers in tauopathy. Further work should aim to validate whether these observations are fully translatable to a clinical scenario, which would recommend follow-up retinal and optic nerve examination in FTD.
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71
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Ma L, Zhang J, Shi Y, Wang W, Ren Z, Xia M, Zhang Y, Yang M. Gene mutations in a Han Chinese Alzheimer's disease cohort. Brain Behav 2019; 9:e01180. [PMID: 30549411 PMCID: PMC6346667 DOI: 10.1002/brb3.1180] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 10/12/2018] [Accepted: 10/21/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Alzheimer's disease (AD) is the most common form of dementia characterized by memory loss at disease onset. The gene mutations in the amyloid precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) are the frequent causes of AD. However, the clinical and genetic features of AD overlap with other neurodegenerative diseases. The present study aimed to identify the clinical and genetic characteristics in a Han Chinese AD cohort. METHODS Detailed clinical assessment was applied to all the patients. We screened amyloid precursor protein (APP), PSEN1, PSEN2, and microtubule-associated protein tau (MAPT) genes were assessed in 83 sporadic AD patients by Sanger sequencing. A total of 25 probands from families with AD were subjected to next-generation sequencing on 53 dementia-associated genes to capture the target region, and Sanger sequencing was used to detect the variants in the DNA sequence. RESULTS PSEN1 p.L226R was found in an early-onset AD (EOAD) family characterized by language impairment at disease onset, a novel probably pathogenetic variant (p.D534H) was identified in a frontal-temporal dementia gene, TANK-binding kinase 1 (TBK1) with a typical AD phenotype in a late-onset AD (LOAD) family, and a PSEN2p.H169N mutation and two benign MAPT (p.Q230R and p.V48L) mutations were detected in three EOAD patients. CONCLUSIONS Thus, five variants were identified in a Han Chinese cohort. In the present study, a novel, probably damaging FTLD gene TBK1variant with a typical AD phenotype was detected. Also, the phenotypic characteristics of PSEN1 p.L226R, a PSEN2pathogenic mutation, and two likely benign MAPT variants were described. Hence, screening for mutations in other dementia genes could be further explored in clinically diagnosed AD patients.
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Affiliation(s)
- Limin Ma
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiewen Zhang
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Yingying Shi
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Wan Wang
- Department of Neurology, Xinxiang Medical University, Xinxiang, China
| | - Zhixia Ren
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Mingrong Xia
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Yuanxing Zhang
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Miaomiao Yang
- Department of Neurology, Xinxiang Medical University, Xinxiang, China
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Cobos SN, Bennett SA, Torrente MP. The impact of histone post-translational modifications in neurodegenerative diseases. Biochim Biophys Acta Mol Basis Dis 2018; 1865:1982-1991. [PMID: 30352259 DOI: 10.1016/j.bbadis.2018.10.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/05/2018] [Accepted: 10/11/2018] [Indexed: 02/08/2023]
Abstract
Every year, neurodegenerative disorders take more than 5000 lives in the US alone. Cures have not yet been found for many of the multitude of neuropathies. The majority of amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Parkinson's disease (PD) cases have no known genetic basis. Thus, it is evident that contemporary genetic approaches have failed to explain the etiology or etiologies of ALS/FTD and PD. Recent investigations have explored the potential role of epigenetic mechanisms in disease development. Epigenetics comprises heritable changes in gene utilization that are not derived from changes in the genome. A main epigenetic mechanism involves the post-translational modification of histones. Increased knowledge of the epigenomic landscape of neurodegenerative diseases would not only further our understanding of the disease pathologies, but also lead to the development of treatments able to halt their progress. Here, we review recent advances on the association of histone post-translational modifications with ALS, FTD, PD and several ataxias.
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Affiliation(s)
- Samantha N Cobos
- Chemistry Department of Brooklyn College, Brooklyn, New York 11210, United States; Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, NY 10016, United States
| | - Seth A Bennett
- Chemistry Department of Brooklyn College, Brooklyn, New York 11210, United States; Ph.D. Program in Biochemistry, The Graduate Center of the City University of New York, New York, NY 10016, United States
| | - Mariana P Torrente
- Chemistry Department of Brooklyn College, Brooklyn, New York 11210, United States; Ph.D. Programs in Chemistry, Biochemistry, and Biology, The Graduate Center of the City University of New York, New York 10016, United States.
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73
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Perrone F, Cacace R, Van Mossevelde S, Van den Bossche T, De Deyn PP, Cras P, Engelborghs S, van der Zee J, Van Broeckhoven C. Genetic screening in early-onset dementia patients with unclear phenotype: relevance for clinical diagnosis. Neurobiol Aging 2018; 69:292.e7-292.e14. [DOI: 10.1016/j.neurobiolaging.2018.04.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 04/08/2018] [Accepted: 04/27/2018] [Indexed: 12/12/2022]
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74
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Seynnaeve D, Vecchio MD, Fruhmann G, Verelst J, Cools M, Beckers J, Mulvihill DP, Winderickx J, Franssens V. Recent Insights on Alzheimer's Disease Originating from Yeast Models. Int J Mol Sci 2018; 19:E1947. [PMID: 29970827 PMCID: PMC6073265 DOI: 10.3390/ijms19071947] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 06/29/2018] [Accepted: 06/30/2018] [Indexed: 01/28/2023] Open
Abstract
In this review article, yeast model-based research advances regarding the role of Amyloid-β (Aβ), Tau and frameshift Ubiquitin UBB+1 in Alzheimer’s disease (AD) are discussed. Despite having limitations with regard to intercellular and cognitive AD aspects, these models have clearly shown their added value as complementary models for the study of the molecular aspects of these proteins, including their interplay with AD-related cellular processes such as mitochondrial dysfunction and altered proteostasis. Moreover, these yeast models have also shown their importance in translational research, e.g., in compound screenings and for AD diagnostics development. In addition to well-established Saccharomyces cerevisiae models, new upcoming Schizosaccharomyces pombe, Candida glabrata and Kluyveromyces lactis yeast models for Aβ and Tau are briefly described. Finally, traditional and more innovative research methodologies, e.g., for studying protein oligomerization/aggregation, are highlighted.
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Affiliation(s)
- David Seynnaeve
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Mara Del Vecchio
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Gernot Fruhmann
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Joke Verelst
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Melody Cools
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Jimmy Beckers
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Daniel P Mulvihill
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, Kent, UK.
| | - Joris Winderickx
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
| | - Vanessa Franssens
- Functional Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium.
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Vandal SE, Zheng X, Ahmad ST. Molecular Genetics of Frontotemporal Dementia Elucidated by Drosophila Models-Defects in Endosomal⁻Lysosomal Pathway. Int J Mol Sci 2018; 19:ijms19061714. [PMID: 29890743 PMCID: PMC6032313 DOI: 10.3390/ijms19061714] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 06/06/2018] [Accepted: 06/07/2018] [Indexed: 01/31/2023] Open
Abstract
Frontotemporal dementia (FTD) is the second most common senile neurodegenerative disease. FTD is a heterogeneous disease that can be classified into several subtypes. A mutation in CHMP2B locus (CHMP2Bintron5), which encodes a component of endosomal sorting complex required for transport-III (ESCRT-III), is associated with a rare hereditary subtype of FTD linked to chromosome 3 (FTD-3). ESCRT is involved in critical cellular processes such as multivesicular body (MVB) formation during endosomal–lysosomal pathway and autophagy. ESCRT mutants causes diverse physiological defects primarily due to accumulation of endosomes and defective MVBs resulting in misregulation of signaling pathways. Charged multivesicular body protein 2B (CHMP2B) is important for neuronal physiology which especially rely on precise regulation of protein homeostasis due to their post-mitotic status. Drosophila has proven to be an excellent model for charaterization of mechanistic underpinning of neurodegenerative disorders including FTD. In this review, current understanding of various FTD-related mutations is discussed with a focus on Drosophila models of CHMP2Bintron5-associated FTD.
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Affiliation(s)
- Sarah E Vandal
- Department of Biology, Colby College, 5720 Mayflower Hill, Waterville, ME 04901, USA.
| | - Xiaoyue Zheng
- Department of Biology, Colby College, 5720 Mayflower Hill, Waterville, ME 04901, USA.
| | - S Tariq Ahmad
- Department of Biology, Colby College, 5720 Mayflower Hill, Waterville, ME 04901, USA.
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Ferrero H, Larrayoz IM, Solas M, Martínez A, Ramírez MJ, Gil-Bea FJ. Reduced Adrenomedullin Parallels Microtubule Dismantlement in Frontotemporal Lobar Degeneration. Mol Neurobiol 2018; 55:9328-9333. [PMID: 29671277 DOI: 10.1007/s12035-018-1079-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 04/10/2018] [Indexed: 11/30/2022]
Abstract
Tau is a microtubule-associated protein highly expressed in neurons with a chief role in microtubule dynamics and axonal maintenance. Adrenomedullin gene (ADM) codifies for various peptides that exert broad range of actions in the body. Previous works in our groups have shown that increased ADM products are positively correlated to microtubule disruption and tau pathology in Alzheimer's disease brains. In the present study, we explore the involvement of ADM in the neuropathology of frontotemporal lobar degeneration that presents with primary tauopathy (FTLD-tau). Proteins from frontal cortices of FTLD-tau patients and age- and sex-matched non-demented controls were analyzed with antibodies against different microtubule components, including adrenomedullin, and synaptic markers. Tau pathology in frontal cortex from FTLD patients was confirmed. Levels of total βIII-tubulin as well as acetylated and detyrosinated tubulins, two markers of stabilized and aged microtubules, were significantly reduced and directly correlated with PSD95 and proBDNF in FTLD-tau patients when compared to non-demented controls. In contrast, no change in actin cytoskeleton was found. Interestingly, changes in microtubule elements, indicators of disturbed axonal preservation, were accompanied by decreased levels of free adrenomedullin, although no association was found. Altogether, reduced levels of adrenomedullin might not be directly linked to the microtubule pathology of FTLD-tau, but based on previous works, it is suggested that downregulation of ADM might be an adaptive attempt of neurons to mitigate microtubule disruption.
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Affiliation(s)
- Hilda Ferrero
- Department of Pharmacology and Toxicology, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Ignacio M Larrayoz
- Biomarkers and Molecular Signaling, Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - Maite Solas
- Department of Pharmacology and Toxicology, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Alfredo Martínez
- Oncology Area, Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain
| | - María J Ramírez
- Department of Pharmacology and Toxicology, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Francisco J Gil-Bea
- Neurosciences Area, Biodonostia Health Research Institute, Donostia University Hospital, San Sebastian, Spain. .,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Health Institute Carlos III, Ministry of Economy and Competitiveness, Madrid, Spain.
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77
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Serpente M, Galimberti D. Autosomal Dominant Frontotemporal Lobar Degeneration: From Genotype to Phenotype. NEURODEGENER DIS 2018. [DOI: 10.1007/978-3-319-72938-1_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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78
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Abstract
The online AD&FTD Mutation Database ( http://www.molgen.vib-ua.be/FTDmutations ) was conceived to meet the needs of a comprehensive knowledge base of genetic variations in genes associated with monogenic forms of Alzheimer's disease (AD) and frontotemporal dementia (FTD). Today, the AD&FTD Mutation Database provides curated, referenced information of 764 genetic variants in APP, PSEN1, and PSEN2 associated with AD and GRN, C9orf72, TBK1, MAPT, VCP, CHMP2B, TARDBP, and FUS associated with FTD and related diseases. In addition, the database stores demographic and clinicogenetic data of 1646 dementia families associated with these mutations. In FTD, the granulin (GRN) gene has the highest number of different mutations (79/231 = 34%) and the second highest number of associated FTD families after C9orf72. In addition to the detailed mutation and patient information, summary reports in tabular and graphical formats can be consulted. Further, all variants can be uploaded to the human genome browser for custom-designed analyses.
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Young JJ, Lavakumar M, Tampi D, Balachandran S, Tampi RR. Frontotemporal dementia: latest evidence and clinical implications. Ther Adv Psychopharmacol 2018; 8:33-48. [PMID: 29344342 PMCID: PMC5761910 DOI: 10.1177/2045125317739818] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 09/26/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Frontotemporal dementia (FTD) describes a cluster of neurocognitive syndromes that present with impairment of executive functioning, changes in behavior, and a decrease in language proficiency. FTD is the second most common form of dementia in those younger than 65 years and is expected to increase in prevalence as the population ages. This goal in our review is to describe advances in the understanding of neurobiological pathology, classification, assessment, and treatment of FTD syndromes. METHODS PubMed was searched to obtain reviews and studies that pertain to advancements in genetics, neurobiology, neuroimaging, classification, and treatment of FTD syndromes. Articles were chosen with a predilection to more recent preclinical/clinical trials and systematic reviews. RESULTS Recent reviews and trials indicate a significant advancement in the understanding of molecular and neurobiological clinical correlates to variants of FTD. Genetic and histopathologic markers have only recently been discovered in the past decade. Current therapeutic modalities are limited, with most studies reporting improvement in symptoms with nonpharmacological interventions. However, a small number of studies have reported improvement of behavioral symptoms with selective serotonin reuptake inhibitor (SSRI) treatment. Stimulants may help with disinhibition, apathy, and risk-taking behavior. Memantine and cholinesterase inhibitors have not demonstrated efficacy in ameliorating FTD symptoms. Antipsychotics have been used to treat agitation and psychosis, but safety concerns and side effect profiles limit utilization in the general FTD population. Nevertheless, recent breakthroughs in the understanding of FTD pathology have led to developments in pharmacological interventions that focus on producing treatments with autoimmune, genetic, and molecular targets. CONCLUSION FTD is an underdiagnosed group of neurological syndromes comprising multiple variants with distinct neurobiological profiles and presentations. Recent advances suggest there is an array of potential novel therapeutic targets, although data concerning their effectiveness are still preliminary or preclinical. Further studies are required to develop pharmacological interventions, as there are currently no US Food and Drug administration approved treatments to manage FTD syndromes.
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Affiliation(s)
- Juan Joseph Young
- Department of Psychiatry, MetroHealth Medical Center, Cleveland, OH, USA Case Western Reserve University, Cleveland, OH, USA
| | - Mallika Lavakumar
- Department of Psychiatry, MetroHealth Medical Center, Cleveland, OH, USA Case Western Reserve University, Cleveland, OH, USA
| | - Deena Tampi
- Mercy Regional Medical Center, 3700 Kolbe Rd, Lorain, OH 44053, USA
| | - Silpa Balachandran
- Department of Psychiatry, MetroHealth Medical Center, Cleveland, OH, USA Case Western Reserve University, Cleveland, OH, USA
| | - Rajesh R Tampi
- MetroHealth Medical Center, Case Western Reserve University School of Medicine, 2500 MetroHealth Drive, Cleveland, OH 44109, USA
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80
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Tilgner H, Jahanbani F, Gupta I, Collier P, Wei E, Rasmussen M, Snyder M. Microfluidic isoform sequencing shows widespread splicing coordination in the human transcriptome. Genome Res 2017; 28:231-242. [PMID: 29196558 PMCID: PMC5793787 DOI: 10.1101/gr.230516.117] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 11/30/2017] [Indexed: 12/21/2022]
Abstract
Understanding transcriptome complexity is crucial for understanding human biology and disease. Technologies such as Synthetic long-read RNA sequencing (SLR-RNA-seq) delivered 5 million isoforms and allowed assessing splicing coordination. Pacific Biosciences and Oxford Nanopore increase throughput also but require high input amounts or amplification. Our new droplet-based method, sparse isoform sequencing (spISO-seq), sequences 100k–200k partitions of 10–200 molecules at a time, enabling analysis of 10–100 million RNA molecules. SpISO-seq requires less than 1 ng of input cDNA, limiting or removing the need for prior amplification with its associated biases. Adjusting the number of reads devoted to each molecule reduces sequencing lanes and cost, with little loss in detection power. The increased number of molecules expands our understanding of isoform complexity. In addition to confirming our previously published cases of splicing coordination (e.g., BIN1), the greater depth reveals many new cases, such as MAPT. Coordination of internal exons is found to be extensive among protein coding genes: 23.5%–59.3% (95% confidence interval) of highly expressed genes with distant alternative exons exhibit coordination, showcasing the need for long-read transcriptomics. However, coordination is less frequent for noncoding sequences, suggesting a larger role of splicing coordination in shaping proteins. Groups of genes with coordination are involved in protein–protein interactions with each other, raising the possibility that coordination facilitates complex formation and/or function. We also find new splicing coordination types, involving initial and terminal exons. Our results provide a more comprehensive understanding of the human transcriptome and a general, cost-effective method to analyze it.
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Affiliation(s)
- Hagen Tilgner
- Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York 10021, USA
| | - Fereshteh Jahanbani
- Department of Genetics, Stanford University, Stanford, California 94304, USA
| | - Ishaan Gupta
- Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York 10021, USA
| | - Paul Collier
- Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York 10021, USA
| | - Eric Wei
- Department of Genetics, Stanford University, Stanford, California 94304, USA
| | | | - Michael Snyder
- Department of Genetics, Stanford University, Stanford, California 94304, USA
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81
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Fernández MV, Kim JH, Budde JP, Black K, Medvedeva A, Saef B, Deming Y, Del-Aguila J, Ibañez L, Dube U, Harari O, Norton J, Chasse R, Morris JC, Goate A, Cruchaga C. Analysis of neurodegenerative Mendelian genes in clinically diagnosed Alzheimer Disease. PLoS Genet 2017; 13:e1007045. [PMID: 29091718 PMCID: PMC5683650 DOI: 10.1371/journal.pgen.1007045] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 11/13/2017] [Accepted: 09/27/2017] [Indexed: 12/12/2022] Open
Abstract
Alzheimer disease (AD), Frontotemporal lobar degeneration (FTD), Amyotrophic lateral sclerosis (ALS) and Parkinson disease (PD) have a certain degree of clinical, pathological and molecular overlap. Previous studies indicate that causative mutations in AD and FTD/ALS genes can be found in clinical familial AD. We examined the presence of causative and low frequency coding variants in the AD, FTD, ALS and PD Mendelian genes, in over 450 families with clinical history of AD and over 11,710 sporadic cases and cognitive normal participants from North America. Known pathogenic mutations were found in 1.05% of the sporadic cases, in 0.69% of the cognitively normal participants and in 4.22% of the families. A trend towards enrichment, albeit non-significant, was observed for most AD, FTD and PD genes. Only PSEN1 and PINK1 showed consistent association with AD cases when we used ExAC as the control population. These results suggest that current study designs may contain heterogeneity and contamination of the control population, and that current statistical methods for the discovery of novel genes with real pathogenic variants in complex late onset diseases may be inadequate or underpowered to identify genes carrying pathogenic mutations.
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Affiliation(s)
- Maria Victoria Fernández
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Jong Hun Kim
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
- Department of Neurology, Dementia Center, Ilsan hospital, National Health Insurance Service, Goyang, South Korea
| | - John P. Budde
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Kathleen Black
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Alexandra Medvedeva
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Ben Saef
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Yuetiva Deming
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Jorge Del-Aguila
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Laura Ibañez
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Umber Dube
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
- Medical Scientist Training Program, Division of Biology and Biomedical sciences, School of Medicine, Washington University in Saint Louis, St. Louis, MO, United States of America
| | - Oscar Harari
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Joanne Norton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Rachel Chasse
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
| | - John C. Morris
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Alison Goate
- Ronald M. Loeb Center for Alzheimer’s disease, Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, ICAHN 10–52, New York, NY, United States of America
| | | | | | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States of America
- * E-mail:
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82
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Boselli M, Lee BH, Robert J, Prado MA, Min SW, Cheng C, Silva MC, Seong C, Elsasser S, Hatle KM, Gahman TC, Gygi SP, Haggarty SJ, Gan L, King RW, Finley D. An inhibitor of the proteasomal deubiquitinating enzyme USP14 induces tau elimination in cultured neurons. J Biol Chem 2017; 292:19209-19225. [PMID: 28972160 DOI: 10.1074/jbc.m117.815126] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Indexed: 11/06/2022] Open
Abstract
The ubiquitin-proteasome system (UPS) is responsible for most selective protein degradation in eukaryotes and regulates numerous cellular processes, including cell cycle control and protein quality control. A component of this system, the deubiquitinating enzyme USP14, associates with the proteasome where it can rescue substrates from degradation by removal of the ubiquitin tag. We previously found that a small-molecule inhibitor of USP14, known as IU1, can increase the rate of degradation of a subset of proteasome substrates. We report here the synthesis and characterization of 87 variants of IU1, which resulted in the identification of a 10-fold more potent USP14 inhibitor that retains specificity for USP14. The capacity of this compound, IU1-47, to enhance protein degradation in cells was tested using as a reporter the microtubule-associated protein tau, which has been implicated in many neurodegenerative diseases. Using primary neuronal cultures, IU1-47 was found to accelerate the rate of degradation of wild-type tau, the pathological tau mutants P301L and P301S, and the A152T tau variant. We also report that a specific residue in tau, lysine 174, is critical for the IU1-47-mediated tau degradation by the proteasome. Finally, we show that IU1-47 stimulates autophagic flux in primary neurons. In summary, these findings provide a powerful research tool for investigating the complex biology of USP14.
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Affiliation(s)
- Monica Boselli
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115
| | - Byung-Hoon Lee
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115.,the Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology, 42988 Daegu, Korea
| | - Jessica Robert
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115
| | - Miguel A Prado
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115
| | - Sang-Won Min
- the Department of Neurology, Gladstone Institute of Neurological Diseases, University of California, San Francisco, California 94158
| | - Chialin Cheng
- Chemical Neurobiology Laboratory, Center for Genomic Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114
| | - M Catarina Silva
- Chemical Neurobiology Laboratory, Center for Genomic Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114
| | - Changhyun Seong
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115.,Regeneron Pharmaceuticals, Tarrytown, New York 10591, and
| | - Suzanne Elsasser
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115
| | - Ketki M Hatle
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115
| | - Timothy C Gahman
- Small Molecule Discovery Program, Ludwig Institute for Cancer Research, La Jolla, California 92093
| | - Steven P Gygi
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115
| | - Stephen J Haggarty
- Chemical Neurobiology Laboratory, Center for Genomic Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114
| | - Li Gan
- the Department of Neurology, Gladstone Institute of Neurological Diseases, University of California, San Francisco, California 94158
| | - Randall W King
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115,
| | - Daniel Finley
- From the Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115,
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83
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Curtis AF, Masellis M, Hsiung GYR, Moineddin R, Zhang K, Au B, Millett G, Mackenzie I, Rogaeva E, Tierney MC. Sex differences in the prevalence of genetic mutations in FTD and ALS: A meta-analysis. Neurology 2017; 89:1633-1642. [PMID: 28916533 DOI: 10.1212/wnl.0000000000004494] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 07/18/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To conduct a meta-analysis that investigates sex differences in the prevalence of mutations in the 3 most common genes that cause amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD)-chromosome 9 open reading frame 72 (C9orf72), progranulin (GRN), or microtubule-associated protein tau (MAPT)-in patients clinically diagnosed with these conditions. METHODS MEDLINE, EMBASE, and PsycINFO databases were searched (inception to June 30, 2016). Studies of patients with FTD or ALS that reported the number of men and women with and without mutations of interest were selected. Female to male pooled risk ratios (RR) and 95% confidence intervals (CI) for each mutation were calculated using random-effects models. RESULTS Thirty-two articles reporting 12,784 patients with ALS (including 1,244 C9orf72 mutation carriers) revealed a higher prevalence of female patients with C9orf72-related ALS (RR 1.16, 95% CI 1.04-1.29). Twenty-three articles reporting 5,320 patients with FTD (including 488 C9orf72 mutation carriers) revealed no sex differences in C9orf72-related FTD (RR 0.95, 95% CI 0.81-1.12). Thirty-six articles reporting 3,857 patients with FTD (including 369 GRN mutation carriers) revealed a higher prevalence of female patients with GRN-related FTD (RR 1.33, 95% CI 1.09-1.62). Finally, 21 articles reporting 2,377 patients with FTD (including 215 MAPT mutation carriers) revealed no sex difference in MAPT-related FTD (RR 1.21, 95% CI 0.95-1.55). CONCLUSIONS Higher female prevalence of C9orf72 hexanucleotide repeat expansions in ALS and GRN mutations in FTD suggest that sex-related risk factors might moderate C9orf72 and GRN-mediated phenotypic expression.
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Affiliation(s)
- Ashley F Curtis
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Mario Masellis
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Ging-Yuek Robin Hsiung
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Rahim Moineddin
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Kathy Zhang
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Bonnie Au
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Geneva Millett
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Ian Mackenzie
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Ekaterina Rogaeva
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada
| | - Mary C Tierney
- From the Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (A.F.C., M.M., K.Z., M.C.T.), Primary Care Research Unit (A.F.C., K.Z., B.A., G.M., M.C.T.), and Cognitive & Movement Disorders Clinic (M.M.), Sunnybrook Health Sciences Center, Toronto; Division of Neurology (G.-Y.R.H.) and Department of Pathology and Laboratory Medicine (I.M.), University of British Columbia, Vancouver; Departments of Family and Community Medicine (R.M., M.C.T.) and Medicine (E.R.) and Tanz Centre for Research in Neurodegenerative Diseases (E.R.), University of Toronto; and Department of Neuropathology (I.M.), Vancouver General Hospital, Canada.
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84
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Hall B, Mak E, Cervenka S, Aigbirhio FI, Rowe JB, O’Brien JT. In vivo tau PET imaging in dementia: Pathophysiology, radiotracer quantification, and a systematic review of clinical findings. Ageing Res Rev 2017; 36:50-63. [PMID: 28315409 DOI: 10.1016/j.arr.2017.03.002] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 02/15/2017] [Accepted: 03/06/2017] [Indexed: 12/14/2022]
Abstract
In addition to the deposition of β-amyloid plaques, neurofibrillary tangles composed of aggregated hyperphosphorylated tau are one of the pathological hallmarks of Alzheimer's disease and other neurodegenerative disorders. Until now, our understanding about the natural history and topography of tau deposition has only been based on post-mortem and cerebrospinal fluid studies, and evidence continues to implicate tau as a central driver of downstream neurodegenerative processes and cognitive decline. Recently, it has become possible to assess the regional distribution and severity of tau burden in vivo with the development of novel radiotracers for positron emission tomography (PET) imaging. In this article, we provide a comprehensive discussion of tau pathophysiology, its quantification with novel PET radiotracers, as well as a systematic review of tau PET imaging in normal aging and various dementia conditions: mild cognitive impairment, Alzheimer's disease, frontotemporal dementia, progressive supranuclear palsy, and Lewy body dementia. We discuss the main findings in relation to group differences, clinical-cognitive correlations of tau PET, and multi-modal relationships among tau PET and other pathological markers. Collectively, the small but growing literature of tau PET has yielded consistent anatomical patterns of tau accumulation that recapitulate post-mortem distribution of neurofibrillary tangles which correlate with cognitive functions and other markers of pathology. In general, AD is characterised by increased tracer retention in the inferior temporal lobe, extending into the frontal and parietal regions in more severe cases. It is also noted that the spatial topography of tau accumulation is markedly distinct to that of amyloid burden in aging and AD. Tau PET imaging has also revealed characteristic spatial patterns among various non-AD tauopathies, supporting its potential role for differential diagnosis. Finally, we propose novel directions for future tau research, including (a) longitudinal imaging in preclinical dementia, (b) multi-modal mapping of tau pathology onto other pathological processes such as neuroinflammation, and (c) the need for more validation studies against post-mortem samples of the same subjects.
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85
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Poon A, Zhang Y, Chandrasekaran A, Phanthong P, Schmid B, Nielsen TT, Freude KK. Modeling neurodegenerative diseases with patient-derived induced pluripotent cells: Possibilities and challenges. N Biotechnol 2017; 39:190-198. [PMID: 28579476 DOI: 10.1016/j.nbt.2017.05.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 04/21/2017] [Accepted: 05/29/2017] [Indexed: 02/06/2023]
Abstract
The rising prevalence of progressive neurodegenerative diseases coupled with increasing longevity poses an economic burden at individual and societal levels. There is currently no effective cure for the majority of neurodegenerative diseases and disease-affected tissues from patients have been difficult to obtain for research and drug discovery in pre-clinical settings. While the use of animal models has contributed invaluable mechanistic insights and potential therapeutic targets, the translational value of animal models could be further enhanced when combined with in vitro models derived from patient-specific induced pluripotent stem cells (iPSCs) and isogenic controls generated using CRISPR-Cas9 mediated genome editing. The iPSCs are self-renewable and capable of being differentiated into the cell types affected by the diseases. These in vitro models based on patient-derived iPSCs provide the opportunity to model disease development, uncover novel mechanisms and test potential therapeutics. Here we review findings from iPSC-based modeling of selected neurodegenerative diseases, including Alzheimer's disease, frontotemporal dementia and spinocerebellar ataxia. Furthermore, we discuss the possibilities of generating three-dimensional (3D) models using the iPSCs-derived cells and compare their advantages and disadvantages to conventional two-dimensional (2D) models.
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Affiliation(s)
- Anna Poon
- Faculty of Health and Medical Sciences, University of Copenhagen, Gronnegaardsvej 7, 1870 Frederiksberg C, Denmark
| | - Yu Zhang
- Faculty of Health and Medical Sciences, University of Copenhagen, Gronnegaardsvej 7, 1870 Frederiksberg C, Denmark
| | | | - Phetcharat Phanthong
- Stem Cell Research Group, Institute of Molecular Biosciences and Deparment of Anatomy, Faculty of Science, Bangkok, Mahidol University, 10400, Thailand
| | | | - Troels T Nielsen
- Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark
| | - Kristine K Freude
- Faculty of Health and Medical Sciences, University of Copenhagen, Gronnegaardsvej 7, 1870 Frederiksberg C, Denmark.
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86
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Rainero I, Rubino E, Michelerio A, D’Agata F, Gentile S, Pinessi L. Recent advances in the molecular genetics of frontotemporal lobar degeneration. FUNCTIONAL NEUROLOGY 2017; 32:7-16. [PMID: 28380318 PMCID: PMC5505533 DOI: 10.11138/fneur/2017.32.1.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The term frontotemporal lobar degeneration (FTLD) describes a spectrum of neurodegenerative disorders associated with deposition of misfolded proteins in the frontal and temporal lobes. Up to 40% of FTLD patients reports a family history of neurodegeneration, and approximately 1/3 of familial cases shows an autosomal dominant pattern of inheritance of the phenotype. Over the past two decades, several causative and susceptibility genes for FTLD have been discovered, supporting the notion that genetic factors are important contributors to the disease processes. Genetic variants in three genes, MAPT, GRN and C9orf72, account for about half of familial FTLD cases. In addition, rare defects in the CHMP2B, VCP, TARDBP, SQSTM1, FUS, UBQLN, OPTN, TREM2, CHCHD10 and TBK1 genes have been described. Additional genes are expected to be found in near future. The purpose of this review is to describe recent advances in the molecular genetics of the FTLD spectrum and to discuss implications for genetic counseling.
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Affiliation(s)
- Innocenzo Rainero
- Neurology I, Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Italy
- Department of Neuroscience and Mental Health, AOU Città della Salute e della Scienza, Torino, Italy
| | - Elisa Rubino
- Neurology I, Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Italy
| | - Andrea Michelerio
- Neurology I, Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Italy
| | - Federico D’Agata
- Neurology I, Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Italy
| | - Salvatore Gentile
- Department of Neuroscience and Mental Health, AOU Città della Salute e della Scienza, Torino, Italy
| | - Lorenzo Pinessi
- Neurology I, Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Italy
- Department of Neuroscience and Mental Health, AOU Città della Salute e della Scienza, Torino, Italy
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87
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Hinz FI, Geschwind DH. Molecular Genetics of Neurodegenerative Dementias. Cold Spring Harb Perspect Biol 2017; 9:cshperspect.a023705. [PMID: 27940516 DOI: 10.1101/cshperspect.a023705] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Neurodegenerative dementias are clinically heterogeneous, progressive diseases with frequently overlapping symptoms, such as cognitive impairments and behavior and movement deficits. Although a majority of cases appear to be sporadic, there is a large genetic component that has yet to be fully explained. Here, we review the recent genetic and genomic findings pertaining to Alzheimer's disease, frontotemporal dementia, Lewy body dementia, and prion dementia. In this review, we describe causal and susceptibility genes identified for these dementias and discuss recent research pertaining to the molecular function of these genes. Of particular interest, there is a large overlap in clinical phenotypes, genes, and/or aggregating protein products involved in these diseases, as well as frequent comorbid presentation, indicating that these dementias may represent a continuum of syndromes rather than individual diseases.
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Affiliation(s)
- Flora I Hinz
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095
| | - Daniel H Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095.,Center for Autism Research and Treatment and Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California 90024
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88
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Rodriguez L, Mohamed NV, Desjardins A, Lippé R, Fon EA, Leclerc N. Rab7A regulates tau secretion. J Neurochem 2017; 141:592-605. [PMID: 28222213 DOI: 10.1111/jnc.13994] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 02/10/2017] [Accepted: 02/16/2017] [Indexed: 12/20/2022]
Abstract
The axonal microtubule-associated protein TAU, involved in Alzheimer's disease (AD), can be found in the extracellular space where it could be taken up by neurons, an event that is believed to contribute to the propagation of tau pathology in the brain. Since the small GTPase Rab7A is involved in the trafficking of endosomes, autophagosomes, and lysosomes, and RAB7A gene expression and protein levels are up-regulated in AD patients, we tested the hypothesis that Rab7A was involved in tau secretion. We previously reported that both primary cortical neurons and HeLa cells over-expressing human TAU can release tau. Using these two cellular systems, we demonstrated that Rab7A regulates tau secretion. Upon Rab7A deletion, tau secretion was decreased. Consistent with this, the over-expression of a dominant negative and a constitutively active form of Rab7A decreased and increased tau secretion, respectively. A partial co-localization of tau and Rab7-positive structures in both neurons and HeLa cells indicated that a late endosomal compartment could be involved in its secretion. Collectively, the present data indicate that Rab7A regulates tau secretion and therefore the up-regulation of RAB7A reported in AD, could contribute to the extracellular accumulation of pathological TAU species that could result in the propagation of tau pathology in the AD brain.
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Affiliation(s)
- Lilia Rodriguez
- Research Center of the University of Montreal Hospital (CRCHUM), Montréal, Québec, Canada.,CNS Research Group (GRSNC), Montreal, Québec, Canada.,Département de Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Nguyen-Vi Mohamed
- Research Center of the University of Montreal Hospital (CRCHUM), Montréal, Québec, Canada.,CNS Research Group (GRSNC), Montreal, Québec, Canada.,Département de Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Alexandre Desjardins
- Research Center of the University of Montreal Hospital (CRCHUM), Montréal, Québec, Canada.,CNS Research Group (GRSNC), Montreal, Québec, Canada.,Département de Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Roger Lippé
- Département de pathologie et biologie cellulaire, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Edward A Fon
- McGill Parkinson Program, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Québec, Canada
| | - Nicole Leclerc
- Research Center of the University of Montreal Hospital (CRCHUM), Montréal, Québec, Canada.,CNS Research Group (GRSNC), Montreal, Québec, Canada.,Département de Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
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89
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Hagenaars SP, Hill WD, Harris SE, Ritchie SJ, Davies G, Liewald DC, Gale CR, Porteous DJ, Deary IJ, Marioni RE. Genetic prediction of male pattern baldness. PLoS Genet 2017; 13:e1006594. [PMID: 28196072 PMCID: PMC5308812 DOI: 10.1371/journal.pgen.1006594] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 01/21/2017] [Indexed: 01/26/2023] Open
Abstract
Male pattern baldness can have substantial psychosocial effects, and it has been phenotypically linked to adverse health outcomes such as prostate cancer and cardiovascular disease. We explored the genetic architecture of the trait using data from over 52,000 male participants of UK Biobank, aged 40-69 years. We identified over 250 independent genetic loci associated with severe hair loss (P<5x10-8). By splitting the cohort into a discovery sample of 40,000 and target sample of 12,000, we developed a prediction algorithm based entirely on common genetic variants that discriminated (AUC = 0.78, sensitivity = 0.74, specificity = 0.69, PPV = 59%, NPV = 82%) those with no hair loss from those with severe hair loss. The results of this study might help identify those at greatest risk of hair loss, and also potential genetic targets for intervention.
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Affiliation(s)
- Saskia P. Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - W. David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Stuart J. Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - David C. Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - Catharine R. Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - David J. Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Riccardo E. Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
- * E-mail:
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90
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Gatto EM, Allegri RF, Da Prat G, Chrem Mendez P, Hanna DS, Dorschner MO, Surace EI, Zabetian CP, Mata IF. Intrafamilial variable phenotype including corticobasal syndrome in a family with p.P301L mutation in the MAPT gene: first report in South America. Neurobiol Aging 2017; 53:195.e11-195.e17. [PMID: 28268100 DOI: 10.1016/j.neurobiolaging.2017.02.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 01/17/2017] [Accepted: 02/02/2017] [Indexed: 12/14/2022]
Abstract
Frontotemporal lobar degeneration is a neuropathological disorder that causes a variety of clinical syndromes including frontotemporal dementia (FTD), progressive supranuclear palsy, and corticobasal syndrome (CBS). FTD associated with parkinsonism occurs frequently as a result of mutations in the C9orf72 gene and also in the genes coding for the protein associated with microtubule tau (MAPT) and progranulin (GRN) on chromosome 17 (FTDP-17). Herein, we report an Argentinean family, of Basque ancestry, with an extensive family history of behavioral variant of FTD. Twenty-one members over 6 generations composed the pedigree. An extensive neurologic and neurocognitive examination was performed on 2 symptomatic individuals and 3 nonsymptomatic individuals. Two different phenotypes were identified among affected members, CBS in the proband and FTD in his brother. DNA was extracted from blood for these 5 individuals and whole-exome sequencing was performed on 3 of them followed by Sanger sequencing of candidate genes on the other 2. In both affected individuals, a missense mutation (p.P301L; rs63751273) in exon 10 of the MAPT gene (chr17q21.3) was identified. Among MAPT mutations, p.P301L is the most frequently associated to different phenotypes: (1) aggressive, symmetrical, and early-onset Parkinsonism; (2) late parkinsonism associated with FTD; and (3) progressive supranuclear palsy but only exceptionally it is reported associated to CBS. This is the first report of the occurrence of the p.P301L-MAPT mutation in South America and supports the marked phenotypic heterogeneity among members of the same family as previously reported.
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Affiliation(s)
- Emilia M Gatto
- Department of Movement Disorders, Fundación INEBA, Buenos Aires, Argentina; Department of Neurology, Sanatorio de la Trinidad Mitre, Buenos Aires, Argentina
| | - Ricardo F Allegri
- Department of Cognitive Neurology, Memory and Aging Center, Instituto de Investigaciones Neurológicas Dr. Raúl Carrea (FLENI), Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Investigator at CONICET the Argentine Research Council (CONICET), Cdad. Autónoma de Buenos Aires, Argentina; Universidad de la Costa (CUC), Barranquilla, Colombia
| | - Gustavo Da Prat
- Department of Neurology, Sanatorio de la Trinidad Mitre, Buenos Aires, Argentina
| | - Patricio Chrem Mendez
- Department of Cognitive Neurology, Memory and Aging Center, Instituto de Investigaciones Neurológicas Dr. Raúl Carrea (FLENI), Buenos Aires, Argentina
| | - David S Hanna
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA; Department of Pathology, University of Washington, Seattle, WA, USA
| | - Michael O Dorschner
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA; Department of Pathology, University of Washington, Seattle, WA, USA
| | - Ezequiel I Surace
- Department of Neuropathology, Laboratorio de Biología Molecular, Instituto de Investigaciones Neurológicas Dr. Raúl Carrea (FLENI), Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Investigator at CONICET the Argentine Research Council (CONICET), Cdad. Autónoma de Buenos Aires, Argentina
| | - Cyrus P Zabetian
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Seattle, WA, USA; Department of Neurology, University of Washington, Seattle, Seattle, WA, USA
| | - Ignacio F Mata
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Seattle, WA, USA; Department of Neurology, University of Washington, Seattle, Seattle, WA, USA.
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91
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Götzl JK, Lang CM, Haass C, Capell A. Impaired protein degradation in FTLD and related disorders. Ageing Res Rev 2016; 32:122-139. [PMID: 27166223 DOI: 10.1016/j.arr.2016.04.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Revised: 03/21/2016] [Accepted: 04/23/2016] [Indexed: 12/12/2022]
Abstract
Impaired protein degradation has been discussed as a cause or consequence of various neurodegenerative diseases, such as Alzheimer's, Parkinson's and Huntington's disease. More recently, evidence accumulated that dysfunctional protein degradation may play a role in frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). Since in almost all neurodegenerative diseases, protein aggregates are disease-defining hallmarks, it is most likely that impaired protein degradation contributes to disease onset and progression. In the majority of FTD cases, the pathological protein aggregates contain either microtubuleassociated protein tau or TAR DNA-binding protein (TDP)-43. Aggregates are also positive for ubiquitin and p62/sequestosome 1 (SQSTM1) indicating that these aggregates are targeted for degradation. FTD-linked mutations in genes encoding three autophagy adaptor proteins, p62/SQSTM1, ubiquilin 2 and optineurin, indicate that impaired autophagy might cause FTD. Furthermore, the strongest evidence for lysosomal impairment in FTD is provided by the progranulin (GRN) gene, which is linked to FTD and neuronal ceroid lipofuscinosis. In this review, we summarize the observations that have been made during the last years linking the accumulation of disease-associated proteins in FTD to impaired protein degradation pathways. In addition, we take resent findings for nucleocytoplasmic transport defects of TDP-43, as discussed for hexanucleotide repeat expansions in C9orf72 into account and provide a hypothesis how the interplay of altered nuclear transport and protein degradation leads to the accumulation of protein deposits.
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92
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Pastor P, Moreno F, Clarimón J, Ruiz A, Combarros O, Calero M, López de Munain A, Bullido MJ, de Pancorbo MM, Carro E, Antonell A, Coto E, Ortega-Cubero S, Hernandez I, Tárraga L, Boada M, Lleó A, Dols-Icardo O, Kulisevsky J, Vázquez-Higuera JL, Infante J, Rábano A, Fernández-Blázquez MÁ, Valentí M, Indakoetxea B, Barandiarán M, Gorostidi A, Frank-García A, Sastre I, Lorenzo E, Pastor MA, Elcoroaristizabal X, Lennarz M, Maier W, Rámirez A, Serrano-Ríos M, Lee SE, Sánchez-Juan P. MAPT H1 Haplotype is Associated with Late-Onset Alzheimer's Disease Risk in APOEɛ4 Noncarriers: Results from the Dementia Genetics Spanish Consortium. J Alzheimers Dis 2016; 49:343-52. [PMID: 26444794 DOI: 10.3233/jad-150555] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The MAPT H1 haplotype has been linked to several disorders, but its relationship with Alzheimer's disease (AD) remains controversial. A rare variant in MAPT (p.A152T) has been linked with frontotemporal dementia (FTD) and AD. We genotyped H1/H2 and p.A152T MAPT in 11,572 subjects from Spain (4,327 AD, 563 FTD, 648 Parkinson's disease (PD), 84 progressive supranuclear palsy (PSP), and 5,950 healthy controls). Additionally, we included 101 individuals from 21 families with genetic FTD. MAPT p.A152T was borderline significantly associated with FTD [odds ratio (OR) = 2.03; p = 0.063], but not with AD. MAPT H1 haplotype was associated with AD risk (OR = 1.12; p = 0.0005). Stratification analysis showed that this association was mainly driven by APOE ɛ4 noncarriers (OR = 1.14; p = 0.0025). MAPT H1 was also associated with risk for PD (OR = 1.30; p = 0.0003) and PSP (OR = 3.18; p = 8.59 × 10-8) but not FTD. Our results suggest that the MAPT H1 haplotype increases the risk of PD, PSP, and non-APOE ɛ4 AD.
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Affiliation(s)
- Pau Pastor
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research, University of Navarra (CIMA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neurology, Hospital Universitari Mutua de Terrassa, University of Barcelona School of Medicine, Barcelona, Spain
| | - Fermín Moreno
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neurology. Hospital Universitario Donostia. San Sebastián, Spain
| | - Jordi Clarimón
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Agustín Ruiz
- Memory Clinic of Fundaciò ACE, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Onofre Combarros
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Service, University Hospital Marqués de Valdecilla (University of Cantabria and IDIVAL), Santander, Spain
| | - Miguel Calero
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Memory Clinic of Fundaciò ACE, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Adolfo López de Munain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neurology. Hospital Universitario Donostia. San Sebastián, Spain.,Neurosciences Area, Institute Biodonostia and Department of Neurosciences, University of Basque Country, UPV-EHU San Sebastián, Spain
| | - Maria J Bullido
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.,Institute of Sanitary Research"Hospital la Paz" (IdIPaz), Madrid, Spain
| | - Marian M de Pancorbo
- BIOMICs Research Group, Centro de Investigación "Lascaray" Ikergunea, Universidad del País Vasco UPV/EHU, Vitoria-Gasteiz, Spain
| | - Eva Carro
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neuroscience Group, Instituto de Investigacion Hospital 12 de Octubre (i+12), Madrid, Spain
| | - Anna Antonell
- Alzheimer's disease and other cognitive disorders Unit, Neurology Department, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Eliecer Coto
- Molecular Genetics Laboratory, Genetics Unit, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Sara Ortega-Cubero
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research, University of Navarra (CIMA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain
| | - Isabel Hernandez
- Memory Clinic of Fundaciò ACE, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Lluís Tárraga
- Memory Clinic of Fundaciò ACE, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Mercè Boada
- Memory Clinic of Fundaciò ACE, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Alberto Lleó
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Oriol Dols-Icardo
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaime Kulisevsky
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain.,Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - José Luis Vázquez-Higuera
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Service, University Hospital Marqués de Valdecilla (University of Cantabria and IDIVAL), Santander, Spain
| | - Jon Infante
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Service, University Hospital Marqués de Valdecilla (University of Cantabria and IDIVAL), Santander, Spain
| | - Alberto Rábano
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neuropathology and Tissue Bank, Alzheimer Disease Research Unit, CIEN Foundation, Carlos III Institute of Health, Alzheimer Center Reina Sofia Foundation, Madrid, Spain
| | - Miguel Ángel Fernández-Blázquez
- Alzheimer Disease Research Unit, CIEN Foundation, Alzheimer Center Reina Sofia Foundation, Carlos III Institute of Health, Madrid, Spain
| | - Meritxell Valentí
- Alzheimer Disease Research Unit, CIEN Foundation, Alzheimer Center Reina Sofia Foundation, Carlos III Institute of Health, Madrid, Spain
| | - Begoña Indakoetxea
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neurology. Hospital Universitario Donostia. San Sebastián, Spain
| | - Myriam Barandiarán
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neurology. Hospital Universitario Donostia. San Sebastián, Spain
| | - Ana Gorostidi
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurosciences Area, Institute Biodonostia and Department of Neurosciences, University of Basque Country, UPV-EHU San Sebastián, Spain
| | - Ana Frank-García
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Institute of Sanitary Research"Hospital la Paz" (IdIPaz), Madrid, Spain.,NeurologyService, Hospital Universitario La Paz (UAM), Madrid, Spain
| | - Isabel Sastre
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.,Institute of Sanitary Research"Hospital la Paz" (IdIPaz), Madrid, Spain
| | - Elena Lorenzo
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research, University of Navarra (CIMA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain
| | - María A Pastor
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Department of Neurology, Clínica Universidad de Navarra, University of Navarra School of Medicine, Pamplona, Spain.,Neuroimaging Laboratory, Division of Neurosciences, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - Xabier Elcoroaristizabal
- BIOMICs Research Group, Centro de Investigación "Lascaray" Ikergunea, Universidad del País Vasco UPV/EHU, Vitoria-Gasteiz, Spain
| | - Martina Lennarz
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Wolfang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Alfredo Rámirez
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Manuel Serrano-Ríos
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Spain, Hospital Clínico San Carlos, Madrid, Spain
| | - Suzee E Lee
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Pascual Sánchez-Juan
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Neurology Service, University Hospital Marqués de Valdecilla (University of Cantabria and IDIVAL), Santander, Spain
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93
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Targeted Downregulation of dMyc Suppresses Pathogenesis of Human Neuronal Tauopathies in Drosophila by Limiting Heterochromatin Relaxation and Tau Hyperphosphorylation. Mol Neurobiol 2016; 54:2706-2719. [DOI: 10.1007/s12035-016-9858-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2016] [Accepted: 03/11/2016] [Indexed: 12/29/2022]
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94
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Medda X, Mertens L, Versweyveld S, Diels A, Barnham L, Bretteville A, Buist A, Verheyen A, Royaux I, Ebneth A, Cabrera-Socorro A. Development of a Scalable, High-Throughput-Compatible Assay to Detect Tau Aggregates Using iPSC-Derived Cortical Neurons Maintained in a Three-Dimensional Culture Format. ACTA ACUST UNITED AC 2016; 21:804-15. [PMID: 26984927 DOI: 10.1177/1087057116638029] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 02/15/2016] [Indexed: 01/14/2023]
Abstract
Tau aggregation is the pathological hallmark that best correlates with the progression of Alzheimer's disease (AD). The presence of neurofibrillary tangles (NFTs), formed of hyperphosphorylated tau, leads to neuronal dysfunction and loss, and is directly associated with the cognitive decline observed in AD patients. The limited success in targeting β-amyloid pathologies has reinforced the hypothesis of blocking tau phosphorylation, aggregation, and/or spreading as alternative therapeutic entry points to treat AD. Identification of novel therapies requires disease-relevant and scalable assays capable of reproducing key features of the pathology in an in vitro setting. Here we use induced pluripotent stem cells (iPSCs) as a virtually unlimited source of human cortical neurons to develop a robust and scalable tau aggregation model compatible with high-throughput screening (HTS). We downscaled cell culture conditions to 384-well plate format and used Matrigel to introduce an extra physical protection against cell detachment that reduces shearing stress and better recapitulates pathological conditions. We complemented the assay with AlphaLISA technology for the detection of tau aggregates in a high-throughput-compatible format. The assay is reproducible across users and works with different commercially available iPSC lines, representing a highly translational tool for the identification of novel treatments against tauopathies, including AD.
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Affiliation(s)
- X Medda
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium Bordeaux University, Bordeaux, France
| | - L Mertens
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - S Versweyveld
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - A Diels
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - L Barnham
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - A Bretteville
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - A Buist
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - A Verheyen
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - I Royaux
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - A Ebneth
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
| | - A Cabrera-Socorro
- Janssen Research & Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium
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95
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Krasniak CS, Ahmad ST. The role of CHMP2B Intron5 in autophagy and frontotemporal dementia. Brain Res 2016; 1649:151-157. [PMID: 26972529 DOI: 10.1016/j.brainres.2016.02.051] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Revised: 02/05/2016] [Accepted: 02/10/2016] [Indexed: 12/12/2022]
Abstract
Charged multivesicular body protein 2B (CHMP2B) - a component of the endosomal complex required for transport-III (ESCRT-III) - is responsible for the vital membrane deformation functions in autophagy and endolysosomal trafficking. A dominant mutation in CHMP2B (CHMP2BIntron5) is associated with a subset of heritable frontotemporal dementia - frontotemporal dementia linked to chromosome 3 (FTD-3). ESCRT-III recruits Vps4, an AAA-ATPase that abscises the membrane during various cellular processes including autophagy and intraluminal vesicle formation. CHMP2BIntron5 results in a C-terminus truncation removing an important Vps4 binding site as well as eliminating the normal autoinhibitory resting state of CHMP2B. CHMP2B is expressed in most cell types but seems to be especially vital for proper neuronal function. CHMP2BIntron5-mediated phenotypes include misregulation of transmembrane receptors, accumulation of multilamellar structures, abnormal lysosomal morphology, down regulation of a brain-specific micro RNA (miRNA-124), abnormal dendritic spine morphology, decrease in dendritic arborization, and cell death. Currently, transgenic-fly,-mouse, and -human cell lines are being used to better understand the diverse phenotypes and develop therapeutic approaches for the CHMP2BIntron5-induced FTD-3. This article is part of a Special Issue entitled SI:Autophagy.
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Affiliation(s)
| | - S Tariq Ahmad
- Department of Biology, Colby College, 5720 Mayflower Hill, Waterville, ME 04901, USA.
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96
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Galimberti D, Dell'Osso B, Altamura AC, Scarpini E. Psychiatric symptoms in frontotemporal dementia: epidemiology, phenotypes, and differential diagnosis. Biol Psychiatry 2015; 78:684-92. [PMID: 25958088 DOI: 10.1016/j.biopsych.2015.03.028] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Revised: 02/24/2015] [Accepted: 03/24/2015] [Indexed: 12/11/2022]
Abstract
Frontotemporal dementia (FTD) is the most frequently occurring dementia in the presenile population. Despite epidemiologic data showing that patients with FTD may have experienced previous psychiatric disorders and that patients with psychotic disorders may develop dementia more often than expected in the nonaffected population, the overlap between these two conditions has been underestimated. Nevertheless, the identification in recent years of several genetic causes of FTD associated with heterogeneous and atypical presentations, including pure psychiatric symptoms, has shifted scientific interest back to obtaining a better understanding of common mechanisms between FTD and psychotic disorders. We review the current knowledge of the FTD spectrum and common features shared by FTD and some psychiatric diseases, starting from Pick's clinical description of the disease, moving toward pathogenic aspects of the disease and genetic causes and associated phenotypes, and finishing with analysis of crossing borders between FTD and psychiatric disorders (mainly represented by schizophrenia and bipolar spectrum disorders) in clinical practice in terms of overlapping symptoms, differential diagnosis, comorbidity, and treatment issues.
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Affiliation(s)
- Daniela Galimberti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Bernardo Dell'Osso
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Bipolar Disorders Clinic, Stanford University, Stanford, California
| | - A Carlo Altamura
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Elio Scarpini
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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97
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Ng ASL, Sias AC, Pressman PS, Fong JC, Karydas AM, Zanto TP, De May M, Coppola G, Geschwind DH, Miller BL, Lee SE. Young-onset frontotemporal dementia in a homozygous tau R406W mutation carrier. Ann Clin Transl Neurol 2015; 2:1124-8. [PMID: 26734663 PMCID: PMC4693591 DOI: 10.1002/acn3.265] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 10/01/2015] [Accepted: 10/14/2015] [Indexed: 11/11/2022] Open
Abstract
Microtubule‐associated protein tau mutations result in 10–20% of cases of genetic frontotemporal lobar degeneration. Tau mutation carriers typically develop behavioral variant frontotemporal dementia with or without parkinsonism. Unlike most frontotemporal dementia gene mutations, heterozygous R406W tau mutation carriers most often develop clinical Alzheimer's disease. We report a homozygous tau R406W mutation carrier with behavioral variant frontotemporal dementia who developed symptoms 20 years before mean family symptom onset. Voxel‐based morphometry showed frontoinsular, frontal, and mesial temporal cortical atrophy. Homozygous tau R406W mutations appear to accelerate symptom onset and drive a behavioral variant frontotemporal dementia syndrome.
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Affiliation(s)
- Adeline S L Ng
- Department of Neurology National Neuroscience Institute Tan Tock Seng Hospital Novena Singapore 308433; Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Ana C Sias
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Peter S Pressman
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Jamie C Fong
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Anna M Karydas
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Theodore P Zanto
- Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Mary De May
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Giovanni Coppola
- David Geffen School of Medicine University of California, Los Angeles Los Angeles California 90095
| | - Daniel H Geschwind
- David Geffen School of Medicine University of California, Los Angeles Los Angeles California 90095
| | - Bruce L Miller
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
| | - Suzee E Lee
- Memory and Aging Centre Department of Neurology University of California, San Francisco San Francisco California 94158
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98
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Benussi A, Padovani A, Borroni B. Phenotypic Heterogeneity of Monogenic Frontotemporal Dementia. Front Aging Neurosci 2015; 7:171. [PMID: 26388768 PMCID: PMC4555036 DOI: 10.3389/fnagi.2015.00171] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 08/19/2015] [Indexed: 12/12/2022] Open
Abstract
Frontotemporal dementia (FTD) is a genetically and pathologically heterogeneous disorder characterized by personality changes, language impairment, and deficits of executive functions associated with frontal and temporal lobe degeneration. Different phenotypes have been defined on the basis of presenting clinical symptoms, i.e., the behavioral variant of FTD, the agrammatic variant of primary progressive aphasia, and the semantic variant of PPA. Some patients have an associated movement disorder, either parkinsonism, as in progressive supranuclear palsy and corticobasal syndrome, or motor neuron disease (FTD-MND). A family history of dementia is found in 40% of cases of FTD and about 10% have a clear autosomal-dominant inheritance. Genetic studies have identified several genes associated with monogenic FTD: microtubule-associated protein tau, progranulin, TAR DNA-binding protein 43, valosin-containing protein, charged multivesicular body protein 2B, fused in sarcoma, and the hexanucleotide repeat expansion in intron 1 of the chromosome 9 open reading frame 72. Patients often present with an extensive phenotypic variability, even among different members of the same kindred carrying an identical disease mutation. The objective of the present work is to review and evaluate available literature data in order to highlight recent advances in clinical, biological, and neuroimaging features of monogenic frontotemporal lobar degeneration and try to identify different mechanisms underlying the extreme phenotypic heterogeneity that characterizes this disease.
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Affiliation(s)
- Alberto Benussi
- Centre for Ageing Brain and Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Centre for Ageing Brain and Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Barbara Borroni
- Centre for Ageing Brain and Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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99
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Tacik P, DeTure M, Lin WL, Sanchez Contreras M, Wojtas A, Hinkle KM, Fujioka S, Baker MC, Walton RL, Carlomagno Y, Brown PH, Strongosky AJ, Kouri N, Murray ME, Petrucelli L, Josephs KA, Rademakers R, Ross OA, Wszolek ZK, Dickson DW. A novel tau mutation, p.K317N, causes globular glial tauopathy. Acta Neuropathol 2015; 130:199-214. [PMID: 25900293 DOI: 10.1007/s00401-015-1425-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Revised: 04/11/2015] [Accepted: 04/11/2015] [Indexed: 12/11/2022]
Abstract
Globular glial tauopathies (GGTs) are 4-repeat tauopathies neuropathologically characterized by tau-positive, globular glial inclusions, including both globular oligodendroglial inclusions and globular astrocytic inclusions. No mutations have been found in 25 of the 30 GGT cases reported in the literature who have been screened for mutations in microtubule associated protein tau (MAPT). In this report, six patients with GGT (four with subtype III and two with subtype I) were screened for MAPT mutations. They included 4 men and 2 women with a mean age at death of 73 years (55-83 years) and mean age at symptomatic onset of 66 years (50-77 years). Disease duration ranged from 5 to 14 years. All were homozygous for the MAPT H1 haplotype. Three patients had a positive family history of dementia, and a novel MAPT mutation (c.951G>C, p.K317N) was identified in one of them, a patient with subtype III. Recombinant tau protein bearing the lysine-to-asparagine substitution at amino acid residue 317 was used to assess functional significance of the variant on microtubule assembly and tau filament formation. Recombinant p.K317N tau had reduced ability to promote tubulin polymerization. Recombinant 3R and 4R tau bearing the p.K317N mutation showed decreased 3R tau and increased 4R tau filament assembly. These results strongly suggest that the p.K317N variant is pathogenic. Sequencing of MAPT should be considered in patients with GGT and a family history of dementia or movement disorder. Since several individuals in our series had a positive family history but no MAPT mutation, genetic factors other than MAPT may play a role in disease pathogenesis.
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Affiliation(s)
- Pawel Tacik
- Department of Neurology, Mayo Clinic, Jacksonville, USA
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100
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Gan-Or Z, Girard SL, Noreau A, Leblond CS, Gagnon JF, Arnulf I, Mirarchi C, Dauvilliers Y, Desautels A, Mitterling T, Cochen De Cock V, Frauscher B, Monaca C, Hogl B, Dion PA, Postuma RB, Montplaisir JY, Rouleau GA. Parkinson's Disease Genetic Loci in Rapid Eye Movement Sleep Behavior Disorder. J Mol Neurosci 2015; 56:617-22. [PMID: 25929833 DOI: 10.1007/s12031-015-0569-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 04/17/2015] [Indexed: 10/23/2022]
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is a prodromal condition for Parkinson's disease (PD) and other synucleinopathies, which often occurs many years before the onset of PD. We analyzed 261 RBD patients and 379 controls for nine PD-associated SNPs and examined their effects, first upon on RBD risk and second, on eventual progression to synucleinopathies in a prospective follow-up in a subset of patients. The SCARB2 rs6812193 (OR = 0.67, 95 % CI = 0.51-0.88, p = 0.004) and the MAPT rs12185268 (OR-0.43, 95 % CI-0.26-0.72, p = 0.001) were associated with RBD in different models. Kaplan-Meier survival analysis in a subset of RBD patients (n = 56), demonstrated that homozygous carriers of the USP25 rs2823357 SNP had progressed to synucleinopathies faster than others (log-rank p = 0.003, Breslow p = 0.005, Tarone-Ware p = 0.004). As a proof-of-concept study, these results suggest that RBD may be associated with at least a subset of PD-associated genes, and demonstrate that combining genetic and prodromal clinical data may help identifying individuals that are either more or less susceptible to develop synucleinopathies. More studies are necessary to replicate these results, and identify more genetic factors affecting progression from RBD to synucleinopathies.
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Affiliation(s)
- Z Gan-Or
- Montreal Neurological Institute and McGill University, Montréal, QC, Canada
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