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Chen X, Chen Y, Ni B, Huang C. Research trends and hotspots for frontotemporal dementia from 2000 to 2022: a bibliometric analysis. Front Neurol 2024; 15:1399600. [PMID: 39087008 PMCID: PMC11288951 DOI: 10.3389/fneur.2024.1399600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/26/2024] [Indexed: 08/02/2024] Open
Abstract
Background Frontotemporal dementia (FTD) is a neurodegenerative disease with clinical, pathological, and genetic heterogeneity. FTD is receiving increasing attention because it is the second leading cause of early-onset dementia after Alzheimer's disease. This study aimed to analyse the research trends and hotspots of FTD from 2000 to 2022 using bibliometrics. Methods Papers related to FTD from 2000 to 2020 were systematically searched through the Web of Science Core Collection (WOSCC). Citespace and Vosviewer software were used to visually analyse the retrieved data of countries/regions, institutions, journals, authors, references, and keywords. Microsoft Excel was used to generate the annual publications and growth trends. Results There were 10,227 papers included in the bibliometric analysis. The annual publication output on FTD has increased significantly from 2000 to 2022, with papers published in 934 academic journals and 87 countries/regions. The Journal of Alzheimer's Disease was the most popular, with 488 papers about FTD. The most productive countries/regions, institutions, and authors are the United States (n = 4,037), the University of California San Francisco (n = 687), and Miller, Bruce L. (n = 427), respectively. The article by Katya Rascovsky and her colleagues published on Brain in 2011 was the most cocited paper, with 625 citations. The research hotspots in this field were the clinical diagnostic criteria, subdivision, and pathological mechanism of FTD, such as tau protein, chromosome 17, progranulin, TDP-43, and C9orf72. Conclusion The future research direction is based on biomarkers and pathological mechanisms to diagnose and differential diagnose FTD from the aspects of behavior, neuropathology, neuroimaging, and serum markers.
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Affiliation(s)
- Xinxin Chen
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yin Chen
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Biyu Ni
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Cheng Huang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Clayton EL, Huggon L, Cousin MA, Mizielinska S. Synaptopathy: presynaptic convergence in frontotemporal dementia and amyotrophic lateral sclerosis. Brain 2024; 147:2289-2307. [PMID: 38451707 PMCID: PMC11224618 DOI: 10.1093/brain/awae074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/02/2024] [Accepted: 02/12/2024] [Indexed: 03/09/2024] Open
Abstract
Frontotemporal dementia and amyotrophic lateral sclerosis are common forms of neurodegenerative disease that share overlapping genetics and pathologies. Crucially, no significantly disease-modifying treatments are available for either disease. Identifying the earliest changes that initiate neuronal dysfunction is important for designing effective intervention therapeutics. The genes mutated in genetic forms of frontotemporal dementia and amyotrophic lateral sclerosis have diverse cellular functions, and multiple disease mechanisms have been proposed for both. Identification of a convergent disease mechanism in frontotemporal dementia and amyotrophic lateral sclerosis would focus research for a targetable pathway, which could potentially effectively treat all forms of frontotemporal dementia and amyotrophic lateral sclerosis (both familial and sporadic). Synaptopathies are diseases resulting from physiological dysfunction of synapses, and define the earliest stages in multiple neuronal diseases, with synapse loss a key feature in dementia. At the presynapse, the process of synaptic vesicle recruitment, fusion and recycling is necessary for activity-dependent neurotransmitter release. The unique distal location of the presynaptic terminal means the tight spatio-temporal control of presynaptic homeostasis is dependent on efficient local protein translation and degradation. Recently, numerous publications have shown that mutations associated with frontotemporal dementia and amyotrophic lateral sclerosis present with synaptopathy characterized by presynaptic dysfunction. This review will describe the complex local signalling and membrane trafficking events that occur at the presynapse to facilitate neurotransmission and will summarize recent publications linking frontotemporal dementia/amyotrophic lateral sclerosis genetic mutations to presynaptic function. This evidence indicates that presynaptic synaptopathy is an early and convergent event in frontotemporal dementia and amyotrophic lateral sclerosis and illustrates the need for further research in this area, to identify potential therapeutic targets with the ability to impact this convergent pathomechanism.
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Affiliation(s)
- Emma L Clayton
- UK Dementia Research Institute at King’s College London, London SE5 9RT, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London SE5 9RT, UK
| | - Laura Huggon
- UK Dementia Research Institute at King’s College London, London SE5 9RT, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London SE5 9RT, UK
| | - Michael A Cousin
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK
- Muir Maxwell Epilepsy Centre, University of Edinburgh, Edinburgh EH8 9XD, UK
- Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh EH8 9XD, UK
| | - Sarah Mizielinska
- UK Dementia Research Institute at King’s College London, London SE5 9RT, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London SE5 9RT, UK
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Firdaus Z, Li X. Unraveling the Genetic Landscape of Neurological Disorders: Insights into Pathogenesis, Techniques for Variant Identification, and Therapeutic Approaches. Int J Mol Sci 2024; 25:2320. [PMID: 38396996 PMCID: PMC10889342 DOI: 10.3390/ijms25042320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Genetic abnormalities play a crucial role in the development of neurodegenerative disorders (NDDs). Genetic exploration has indeed contributed to unraveling the molecular complexities responsible for the etiology and progression of various NDDs. The intricate nature of rare and common variants in NDDs contributes to a limited understanding of the genetic risk factors associated with them. Advancements in next-generation sequencing have made whole-genome sequencing and whole-exome sequencing possible, allowing the identification of rare variants with substantial effects, and improving the understanding of both Mendelian and complex neurological conditions. The resurgence of gene therapy holds the promise of targeting the etiology of diseases and ensuring a sustained correction. This approach is particularly enticing for neurodegenerative diseases, where traditional pharmacological methods have fallen short. In the context of our exploration of the genetic epidemiology of the three most prevalent NDDs-amyotrophic lateral sclerosis, Alzheimer's disease, and Parkinson's disease, our primary goal is to underscore the progress made in the development of next-generation sequencing. This progress aims to enhance our understanding of the disease mechanisms and explore gene-based therapies for NDDs. Throughout this review, we focus on genetic variations, methodologies for their identification, the associated pathophysiology, and the promising potential of gene therapy. Ultimately, our objective is to provide a comprehensive and forward-looking perspective on the emerging research arena of NDDs.
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Affiliation(s)
- Zeba Firdaus
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
| | - Xiaogang Li
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
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Linnemann C, Wilke C, Mengel D, Zetterberg H, Heller C, Kuhle J, Bouzigues A, Russell LL, Foster PH, Ferry-Bolder E, Van Swieten JC, Jiskoot LC, Seelaar H, Moreno F, Borroni B, Sánchez-Valle R, Galimberti D, Laforce R, Graff C, Masellis M, Tartaglia MC, Rowe JB, Finger E, Vandenberghe R, de Mendonca A, Butler CR, Gerhard A, Ducharme S, Ber ILE, Tiraboschi P, Santana I, Pasquier F, Levin J, Otto M, Sorbi S, Rohrer JD, Synofzik M. NfL reliability across laboratories, stage-dependent diagnostic performance and matrix comparability in genetic FTD: a large GENFI study. J Neurol Neurosurg Psychiatry 2024:jnnp-2023-332464. [PMID: 38253362 DOI: 10.1136/jnnp-2023-332464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/31/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND Blood neurofilament light chain (NfL) is increasingly considered as a key trial biomarker in genetic frontotemporal dementia (gFTD). We aimed to facilitate the use of NfL in gFTD multicentre trials by testing its (1) reliability across labs; (2) reliability to stratify gFTD disease stages; (3) comparability between blood matrices and (4) stability across recruiting sites. METHODS Comparative analysis of blood NfL levels in a large gFTD cohort (GENFI) for (1)-(4), with n=344 samples (n=148 presymptomatic, n=11 converter, n=46 symptomatic subjects, with mutations in C9orf72, GRN or MAPT; and n=139 within-family controls), each measured in three different international labs by Simoa HD-1 analyzer. RESULTS NfL revealed an excellent consistency (intraclass correlation coefficient (ICC) 0.964) and high reliability across the three labs (maximal bias (pg/mL) in Bland-Altman analysis: 1.12±1.20). High concordance of NfL across laboratories was moreover reflected by high areas under the curve for discriminating conversion stage against the (non-converting) presymptomatic stage across all three labs. Serum and plasma NfL were largely comparable (ICC 0.967). The robustness of NfL across 13 recruiting sites was demonstrated by a linear mixed effect model. CONCLUSIONS Our results underline the suitability of blood NfL in gFTD multicentre trials, including cross-lab reliable stratification of the highly trial-relevant conversion stage, matrix comparability and cross-site robustness.
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Affiliation(s)
- Christoph Linnemann
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center of Old Age Psychiatry, Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Carlo Wilke
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - David Mengel
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Carolin Heller
- UK Dementia Research Institute at UCL, London, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Phoebe H Foster
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Eve Ferry-Bolder
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia Universitary Hospital, San Sebastian, Spain
- Biodonostia Health Research Institute, Neuroscience Area, San Sebastian, Spain
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Daniela Galimberti
- IRCCS Ospedale Policlinico, Fondazione Ca' Granda, Milan, Italy
- Centro Dino Ferrari, University of Milan, Milan, Italy
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Québec, Alberta, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - James Benedict Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, Leuven, Belgium
| | | | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
- Department of Brain Sciences, Imperial College, London, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Department of Geriatric Medicine, Klinikum Hochsauerland, Arnsberg, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Isabelle L E Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | | | - Isabel Santana
- Neurology Service, Faculty of Medicine, University Hospital of Coimbra (HUC), University of Coimbra, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | | | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Firenze, Italy
- Don Carlo Gnocchi, IRCCS Fondazione, Firenze, Italy
| | - Jonathan Daniel Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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Kahriman A, Bouley J, Tuncali I, Dogan EO, Pereira M, Luu T, Bosco DA, Jaber S, Peters OM, Brown RH, Henninger N. Repeated mild traumatic brain injury triggers pathology in asymptomatic C9ORF72 transgenic mice. Brain 2023; 146:5139-5152. [PMID: 37527465 PMCID: PMC11046056 DOI: 10.1093/brain/awad264] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023] Open
Abstract
Frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) are fatal neurodegenerative diseases that represent ends of the spectrum of a single disease. The most common genetic cause of FTD and ALS is a hexanucleotide repeat expansion in the C9orf72 gene. Although epidemiological data suggest that traumatic brain injury (TBI) represents a risk factor for FTD and ALS, its role in exacerbating disease onset and course remains unclear. To explore the interplay between traumatic brain injury and genetic risk in the induction of FTD/ALS pathology we combined a mild repetitive traumatic brain injury paradigm with an established bacterial artificial chromosome transgenic C9orf72 (C9BAC) mouse model without an overt motor phenotype or neurodegeneration. We assessed 8-10 week-old littermate C9BACtg/tg (n = 21), C9BACtg/- (n = 20) and non-transgenic (n = 21) mice of both sexes for the presence of behavioural deficits and cerebral histopathology at 12 months after repetitive TBI. Repetitive TBI did not affect body weight gain, general neurological deficit severity, nor survival over the 12-month observation period and there was no difference in rotarod performance, object recognition, social interaction and acoustic characteristics of ultrasonic vocalizations of C9BAC mice subjected to repetitive TBI versus sham injury. However, we found that repetitive TBI increased the time to the return of the righting reflex, reduced grip force, altered sociability behaviours and attenuated ultrasonic call emissions during social interactions in C9BAC mice. Strikingly, we found that repetitive TBI caused widespread microglial activation and reduced neuronal density that was associated with loss of histological markers of axonal and synaptic integrity as well as profound neuronal transactive response DNA binding protein 43 kDa mislocalization in the cerebral cortex of C9BAC mice at 12 months; this was not observed in non-transgenic repetitive TBI and C9BAC sham mice. Our data indicate that repetitive TBI can be an environmental risk factor that is sufficient to trigger FTD/ALS-associated neuropathology and behavioural deficits, but not paralysis, in mice carrying a C9orf72 hexanucleotide repeat expansion.
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Affiliation(s)
- Aydan Kahriman
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - James Bouley
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Idil Tuncali
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Elif O Dogan
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Mariana Pereira
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Thuyvan Luu
- Department of Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Daryl A Bosco
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Samer Jaber
- Department of Pathology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Owen M Peters
- School of Biosciences, UK Dementia Research Institute, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Robert H Brown
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
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Calikusu FZ, Akkus S, Kochan Kizilkilic E, Poyraz BC, Altunç AT, Kiziltan G, Gunduz A. Atypical findings: Atypical parkinsonian syndromes or Atypical parkinsonian syndromes look-alikes. Clin Neurol Neurosurg 2023; 233:107975. [PMID: 37734268 DOI: 10.1016/j.clineuro.2023.107975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/09/2023] [Accepted: 09/09/2023] [Indexed: 09/23/2023]
Abstract
OBJECTIVE In parkinsonian syndromes, presentations other than current diagnostic criteria are considered atypical findings. Our goal was to identify and describe the frequency and features of uncommon manifestations of atypical parkinsonian syndromes within our group. METHODS We retrospectively retrieved the medical records of all patients admitted to our clinic with parkinsonism between January 2011 and January 2022. We only included patients with atypical parkinsonian syndromes, in which the diagnosis was based on current clinical criteria. We retrospectively analyzed neurological, psychiatric, radiological, and electrophysiological characteristics. Typical and atypical features were classified according to the current clinical criteria and previous reports. RESULTS We determined 51 patients with atypical parkinsonian syndromes; 46 were included, whereas five were excluded due to insufficient follow-up. The probable diagnoses were multiple system atrophy (MSA, n = 19), dementia with Lewy bodies (DLB, n = 10), frontotemporal dementia (FTD, n = 10), corticobasal syndrome (CBS, n = 3), progressive supranuclear palsy (PSP, n = 4). The prevalence of atypical findings was similar among different types of atypical parkinsonian syndromes (p = 0.847). Atypical findings were eyelid myoclonus, double vision in MSA; ataxia, myoclonus, and a typical hummingbird sign on MRI in DLB; pyramidal findings and family history in FTD; early onset, family history, and onset with psychiatric findings in PSP-like phenotype. Genetic causes were identified in the FTD-like phenotype with pyramidal findings, whereas symptom onset was early with myoclonus in the PSP-like phenotype. CONCLUSION Atypical findings such as abnormal saccades, myoclonus, and ataxia may be a part of degenerative syndromes. However, family history, onset at an earlier age, and specific neurological findings suggest genetic syndromes.
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Affiliation(s)
- Fatma Zehra Calikusu
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Neurology, Istanbul, Turkey
| | - Sema Akkus
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Neurology, Istanbul, Turkey
| | - Esra Kochan Kizilkilic
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Neurology, Istanbul, Turkey
| | - Burc Cagri Poyraz
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Psychiatry, Istanbul, Turkey
| | - Ali Tarik Altunç
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Psychiatry, Istanbul, Turkey
| | - Gunes Kiziltan
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Neurology, Istanbul, Turkey
| | - Aysegul Gunduz
- Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Neurology, Istanbul, Turkey.
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Diehl-Schmid J. [Rare Dementias: Frontotemporal Dementia]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2023; 91:262-274. [PMID: 37336209 DOI: 10.1055/a-2055-4496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
AbstractFrontotemporal dementias (FTD) are among the rare dementias. Their symptomatology is
- compared to the common Alzheimer’s disease - atypical, so that in many
cases it takes a long time until a correct diagnosis is made. The following article
gives an overview of the clinical symptoms, genetic and neuropathological basis,
diagnostics and differential diagnostics and therapy.
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Nilsson J, Cousins KAQ, Gobom J, Portelius E, Chen-Plotkin A, Shaw LM, Grossman M, Irwin DJ, Trojanowski JQ, Zetterberg H, Blennow K, Brinkmalm A. Cerebrospinal fluid biomarker panel of synaptic dysfunction in Alzheimer's disease and other neurodegenerative disorders. Alzheimers Dement 2023; 19:1775-1784. [PMID: 36239248 PMCID: PMC10102247 DOI: 10.1002/alz.12809] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/21/2022] [Accepted: 09/02/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Synaptic degeneration is a key part of the pathophysiology of neurodegenerative diseases, and biomarkers reflecting the pathological alterations are greatly needed. METHOD Seventeen synaptic proteins were quantified in a pathology-confirmed cerebrospinal fluid cohort of patients with Alzheimer's disease (AD; n = 63), frontotemporal lobar degeneration (FTLD; n = 53), and Lewy body spectrum of disorders (LBD; n = 21), as well as healthy controls (HC; n = 48). RESULTS Comparisons revealed four distinct patterns: markers decreased across all neurodegenerative conditions compared to HC (the neuronal pentraxins), markers increased across all neurodegenerative conditions (14-3-3 zeta/delta), markers selectively increased in AD compared to other neurodegenerative conditions (neurogranin and beta-synuclein), and markers selectively decreased in LBD and FTLD compared to HC and AD (AP2B1 and syntaxin-1B). DISCUSSION Several of the synaptic proteins may serve as biomarkers for synaptic dysfunction in AD, LBD, and FTLD. Additionally, differential patterns of synaptic protein alterations seem to be present across neurodegenerative diseases. HIGHLIGHTS A panel of synaptic proteins were quantified in the cerebrospinal fluid using mass spectrometry. We compared Alzheimer's disease, frontotemporal degeneration, and Lewy body spectrum of disorders. Pathology was confirmed by autopsy or familial mutations. We discovered synaptic biomarkers for synaptic degeneration and cognitive decline. We found differential patterns of synaptic proteins across neurodegenerative diseases.
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Affiliation(s)
- Johanna Nilsson
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, SE-43180 Mölndal, Sweden
| | - Katheryn AQ Cousins
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Johan Gobom
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, SE-43180 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180 Mölndal, Sweden
| | - Erik Portelius
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180 Mölndal, Sweden
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - David J. Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, SE-43180 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180 Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, United Kingdom
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, SE-43180 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180 Mölndal, Sweden
| | - Ann Brinkmalm
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, SE-43180 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180 Mölndal, Sweden
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Semenkova A, Piguet O, Johnen A, Schroeter ML, Godulla J, Linnemann C, Mühlhauser M, Sauer T, Baumgartner M, Anderl-Straub S, Otto M, Felbecker A, Kressig RW, Berres M, Sollberger M. The Behavioural Dysfunction Questionnaire discriminates behavioural variant frontotemporal dementia from Alzheimer's disease dementia and major depressive disorder. J Neurol 2023:10.1007/s00415-023-11666-6. [PMID: 36952011 DOI: 10.1007/s00415-023-11666-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/22/2023] [Accepted: 03/12/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND AND OBJECTIVES Early-stage behavioural variant frontotemporal dementia (bvFTD) is often misdiagnosed, highlighting the need for new diagnostic instruments. Based on the revised diagnostic criteria for bvFTD, we developed the Behavioural Dysfunction Questionnaire (BDQ). In this explorative study, we aimed to determine the best scoring and analytical method for the BDQ to discriminate between bvFTD and non-bvFTD patients. MATERIALS AND METHODS 34 patients with early-stage bvFTD, 56 with early-stage Alzheimer's disease dementia (ADD) and 41 with major depressive disorder (MDD) were recruited. We calculated BDQ-items with or without inclusion of a time criterion: (a) without time criterion, (b) with 10 years' time criterion (symptom presence less than 10 years), and (c) with 3 years' time criterion (symptom presentation within the first 3 years). Using these three differently calculated items, we generated six variables, i.e. 3*2 [BDQ-Global Score (BDQ-GS; domains average score); BDQ-Global Domain Score (BDQ-GDS; domains categorical score)]. Then, we performed univariate and bivariate (BDQ-GS and BDQ-GDS combined) ROC analyses. RESULTS Models including BDQ-GS, BDQ-GDS or both variables combined discriminated similarly between groups. In contrast, models without time criterion or with 10 years' time criterion discriminated better than models including variables with 3 years' time criterion. These models discriminated highly (AUC = 85.98-87.78) between bvFTD and MDD and bvFTD and ADD, respectively. CONCLUSION BDQ-scores without any time criterion discriminated highly between early-stage bvFTD and non-bvFTD groups, which could improve the early diagnosis of bvFTD. With its standardised procedure, the BDQ is also appropriate for repeated assessments.
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Affiliation(s)
- Anna Semenkova
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
- Faculty of Psychology, University of Basel, Basel, Switzerland
| | - Olivier Piguet
- School of Psychology and Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Andreas Johnen
- Clinic for Neurology, Münster University Hospital, Münster, Germany
| | - Matthias L Schroeter
- Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Jannis Godulla
- Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | | | | | - Thomas Sauer
- University Psychiatric Clinic, Basel, Switzerland
| | | | | | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
- Department of Neurology, University Hospital Halle, Halle, Germany
| | - Ansgar Felbecker
- Clinic of Neurology und Neurophysiology, Canton Hospital St. Gallen, St. Gallen, Switzerland
| | - Reto W Kressig
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
| | - Manfred Berres
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Koblenz, Germany
| | - Marc Sollberger
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland.
- Department of Neurology, University Hospital Basel, Basel, Switzerland.
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10
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Lim SM, Nahm M, Kim SH. Proteostasis and Ribostasis Impairment as Common Cell Death Mechanisms in Neurodegenerative Diseases. J Clin Neurol 2023; 19:101-114. [PMID: 36854331 PMCID: PMC9982182 DOI: 10.3988/jcn.2022.0379] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 03/02/2023] Open
Abstract
The cellular homeostasis of proteins (proteostasis) and RNA metabolism (ribostasis) are essential for maintaining both the structure and function of the brain. However, aging, cellular stress conditions, and genetic contributions cause disturbances in proteostasis and ribostasis that lead to protein misfolding, insoluble aggregate deposition, and abnormal ribonucleoprotein granule dynamics. In addition to neurons being primarily postmitotic, nondividing cells, they are more susceptible to the persistent accumulation of abnormal aggregates. Indeed, defects associated with the failure to maintain proteostasis and ribostasis are common pathogenic components of age-related neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. Furthermore, the neuronal deposition of misfolded and aggregated proteins can cause both increased toxicity and impaired physiological function, which lead to neuronal dysfunction and cell death. There is recent evidence that irreversible liquid-liquid phase separation (LLPS) is responsible for the pathogenic aggregate formation of disease-related proteins, including tau, α-synuclein, and RNA-binding proteins, including transactive response DNA-binding protein 43, fused in sarcoma, and heterogeneous nuclear ribonucleoprotein A1. Investigations of LLPS and its control therefore suggest that chaperone/disaggregase, which reverse protein aggregation, are valuable therapeutic targets for effective treatments for neurological diseases. Here we review and discuss recent studies to highlight the importance of understanding the common cell death mechanisms of proteostasis and ribostasis in neurodegenerative diseases.
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Affiliation(s)
- Su Min Lim
- Cell Therapy Center and Department of Neurology, College of Medicine, Hanyang University, Seoul, Korea
| | - Minyeop Nahm
- Dementia Research Group, Korea Brain Research Institute, Daegu, Korea
| | - Seung Hyun Kim
- Cell Therapy Center and Department of Neurology, College of Medicine, Hanyang University, Seoul, Korea.
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11
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Cousins KAQ, Shaw LM, Chen-Plotkin A, Wolk DA, Van Deerlin VM, Lee EB, McMillan CT, Grossman M, Irwin DJ. Distinguishing Frontotemporal Lobar Degeneration Tau From TDP-43 Using Plasma Biomarkers. JAMA Neurol 2022; 79:1155-1164. [PMID: 36215050 PMCID: PMC9552044 DOI: 10.1001/jamaneurol.2022.3265] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 08/05/2022] [Indexed: 01/14/2023]
Abstract
Importance Biomarkers are lacking that can discriminate frontotemporal lobar degeneration (FTLD) associated with tau (FTLD-tau) or TDP-43 (FTLD-TDP). Objective To test whether plasma biomarkers glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), or their ratio (GFAP/NfL) differ between FTLD-tau and FTLD-TDP. Design, Setting, and Participants This retrospective cross-sectional study included data from 2009 to 2020 from the University of Pennsylvania Integrated Neurodegenerative Disease Database, with a median (IQR) follow-up duration of 2 (0.3-4.2) years. The training sample was composed of patients with autopsy-confirmed and familial FTLD; nonimpaired controls were included as a reference group. The independent validation sample included patients with FTD with a clinical diagnosis of progressive supranuclear palsy syndrome (PSPS) associated with tau (PSPS-tau) or amytrophic lateral sclerosis (ALS) associated with TDP-43 (ALS-TDP). In patients with FTLD with autopsy-confirmed or variant-confirmed pathology, receiver operating characteristic (ROC) curves tested the GFAP/NfL ratio and established a pathology-confirmed cut point. The cut point was validated in an independent sample of patients with clinical frontotemporal dementia (FTD). Data were analyzed from February to July 2022. Exposures Clinical, postmortem histopathological assessments, and plasma collection. Main Outcomes and Measures ROC and area under the ROC curve (AUC) with 90% CIs evaluated discrimination of pure FTLD-tau from pure FTLD-TDP using plasma GFAP/NfL ratio; the Youden index established optimal cut points. Sensitivity and specificity of cut points were assessed in an independent validation sample. Results Of 349 participants with available plasma data, 234 met inclusion criteria (31 controls, 141 in the training sample, and 62 in the validation sample). In the training sample, patients with FTLD-tau were older than patients with FTLD-TDP (FTLD-tau: n = 46; mean [SD] age, 65.8 [8.29] years; FTLD-TDP: n = 95; mean [SD] age, 62.3 [7.82] years; t84.6 = 2.45; mean difference, 3.57; 95% CI, 0.67-6.48; P = .02) but with similar sex distribution (FTLD-tau: 27 of 46 [59%] were male; FTLD-TDP: 51 of 95 [54%] were male; χ21 = 0.14; P = .70). In the validation sample, patients with PSPS-tau were older than those with ALS-TDP (PSPS-tau: n = 31; mean [SD] age, 69.3 [7.35] years; ALS-TDP: n = 31; mean [SD] age, 54.6 [10.17] years; t54.6 = 6.53; mean difference, 14.71; 95% CI, 10.19-19.23; P < .001) and had fewer patients who were male (PSPS-tau: 9 of 31 [29%] were male; ALS-TDP: 22 of 31 [71%] were male; χ21 = 9.3; P = .002). ROC revealed excellent discrimination of FTLD-tau from FTLD-TDP by plasma GFAP/NfL ratio (AUC = 0.89; 90% CI, 0.82-0.95; sensitivity = 0.73; 90% CI, 0.65-0.89; specificity = 0.89; 90% CI, 0.78-0.98), which was higher than either GFAP level alone (AUC = 0.65; 90% CI, 0.54-0.76) or NfL levels alone (AUC = 0.75; 90% CI, 0.64-0.85). In the validation sample, there was sensitivity of 0.84 (90% CI, 0.66-0.94) and specificity of 0.81 (90% CI, 0.62-0.91) when applying the autopsy-derived plasma GFAP/NfL threshold. Conclusions and Relevance The plasma ratio of GFAP/NfL may discriminate FTLD-tau from FTLD-TDP.
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Affiliation(s)
- Katheryn A. Q. Cousins
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David A. Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - Edward B. Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
| | - Corey T. McMillan
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David J. Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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12
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Abstract
The current understanding of neurological diseases is derived mostly from direct analysis of patients and from animal models of disease. However, most patient studies do not capture the earliest stages of disease development and offer limited opportunities for experimental intervention, so rarely yield complete mechanistic insights. The use of animal models relies on evolutionary conservation of pathways involved in disease and is limited by an inability to recreate human-specific processes. In vitro models that are derived from human pluripotent stem cells cultured in 3D have emerged as a new model system that could bridge the gap between patient studies and animal models. In this Review, we summarize how such organoid models can complement classical approaches to accelerate neurological research. We describe our current understanding of neurodevelopment and how this process differs between humans and other animals, making human-derived models of disease essential. We discuss different methodologies for producing organoids and how organoids can be and have been used to model neurological disorders, including microcephaly, Zika virus infection, Alzheimer disease and other neurodegenerative disorders, and neurodevelopmental diseases, such as Timothy syndrome, Angelman syndrome and tuberous sclerosis. We also discuss the current limitations of organoid models and outline how organoids can be used to revolutionize research into the human brain and neurological diseases. In this Review, Eichmüller and Knoblich discuss how human brain organoids can recapitulate the unique processes that occur in human brain development and how they can complement classical approaches to revolutionize research into neurological diseases. Development of the human brain involves unique processes that are relevant to neurological disease but cannot be studied in animal models, so alternative model systems are required. Organoids are 3D human cell culture models that originate from pluripotent stem cells and recapitulate the hallmarks of human neurodevelopment, enabling studies of human brain development in vitro. Specific mutations can be introduced into organoids to study their effects on neurodevelopment; combined with high-throughput screening methods, this approach can determine the disease relevance of mutations in human tissue. To study specific diseases, brain organoids can be generated from induced pluripotent stem cells from individual patients, thereby preserving the specific genetic background of the individual and generating an insightful model. Through recapitulation of previously inaccessible periods of human brain development, brain organoids have enabled identification of novel mechanisms that underlie neurodevelopmental, neurodegenerative and infectious diseases. Combining organoids, patient research and animal models enables us to take full advantage of each of these systems and will provide unprecedented insights into neurodevelopment and neurological diseases.
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13
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Neurovascular dysfunction in GRN-associated frontotemporal dementia identified by single-nucleus RNA sequencing of human cerebral cortex. Nat Neurosci 2022; 25:1034-1048. [PMID: 35879464 DOI: 10.1038/s41593-022-01124-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/16/2022] [Indexed: 12/13/2022]
Abstract
Frontotemporal dementia (FTD) is the second most prevalent form of early-onset dementia, affecting predominantly frontal and temporal cerebral lobes. Heterozygous mutations in the progranulin gene (GRN) cause autosomal-dominant FTD (FTD-GRN), associated with TDP-43 inclusions, neuronal loss, axonal degeneration and gliosis, but FTD-GRN pathogenesis is largely unresolved. Here we report single-nucleus RNA sequencing of microglia, astrocytes and the neurovasculature from frontal, temporal and occipital cortical tissue from control and FTD-GRN brains. We show that fibroblast and mesenchymal cell numbers were enriched in FTD-GRN, and we identified disease-associated subtypes of astrocytes and endothelial cells. Expression of gene modules associated with blood-brain barrier (BBB) dysfunction was significantly enriched in FTD-GRN endothelial cells. The vasculature supportive function and capillary coverage by pericytes was reduced in FTD-GRN tissue, with increased and hypertrophic vascularization and an enrichment of perivascular T cells. Our results indicate a perturbed BBB and suggest that the neurovascular unit is severely affected in FTD-GRN.
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14
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Degenerative dementias: a question of syndrome or disease? NEUROLOGÍA (ENGLISH EDITION) 2022; 37:480-491. [DOI: 10.1016/j.nrleng.2019.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 03/07/2019] [Indexed: 11/20/2022] Open
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15
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Robles Bayón A. Degenerative dementias: A question of syndrome or disease? Neurologia 2022; 37:480-491. [PMID: 31331676 DOI: 10.1016/j.nrl.2019.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 03/07/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Neurologists refer to numerous "syndromes,‿ consisting of specific combinations of clinical manifestations, following a specific progression pattern, and with the support of blood analysis (without genomic-proteomic parameters) and neuroimaging findings (MRI, CT, perfusion SPECT, or 18F-FDG-PET scans). Neurodegenerative "diseases,‿ on the other hand, are defined by specific combinations of clinical signs and histopathological findings; these must be confirmed by a clinical examination and a histology study or evidence of markers of a specific disorder for the diagnosis to be made. However, we currently know that most genetic and histopathological alterations can result in diverse syndromes. The genetic or histopathological aetiology of each syndrome is also heterogeneous, and we may encounter situations with pathophysiological alterations characterising more than one neurodegenerative disease. Sometimes, specific biomarkers are detected in the preclinical stage. DEVELOPMENT We performed a literature review to identify patients whose histopathological or genetic disorder was discordant with that expected for the clinical syndrome observed, as well as patients presenting multiple neurodegenerative diseases, confirming the heterogeneity and overlap between syndromes and diseases. We also observed that the treatments currently prescribed to patients with neurodegenerative diseases are symptomatic. CONCLUSIONS Our findings show that the search for disease biomarkers should be restricted to research centres, given the lack of disease-modifying drugs or treatments improving survival. Moreover, syndromes and specific molecular or histopathological alterations should be managed independently of one another, and new "diseases‿ should be defined and adapted to current knowledge and practice.
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Affiliation(s)
- A Robles Bayón
- Unidad de Neurología Cognitiva, Hospital HM Rosaleda, Santiago de Compostela, La Coruña, España.
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16
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Recent Advances in Frontotemporal Dementia. Neurol Sci 2022:1-10. [DOI: 10.1017/cjn.2022.69] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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17
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Nelson A, Russell LL, Peakman G, Convery RS, Bouzigues A, Greaves CV, Bocchetta M, Cash DM, van Swieten JC, Jiskoot L, Moreno F, Sanchez-Valle R, Laforce R, Graff C, Masellis M, Tartaglia MC, Rowe JB, Borroni B, Finger E, Synofzik M, Galimberti D, Vandenberghe R, de Mendonça A, Butler CR, Gerhard A, Ducharme S, Le Ber I, Santana I, Pasquier F, Levin J, Otto M, Sorbi S, Rohrer JD, Almeida MR, Anderl‐Straub S, Andersson C, Antonell A, Archetti S, Arighi A, Balasa M, Barandiaran M, Bargalló N, Bartha R, Bender B, Benussi A, Bertoux M, Bertrand A, Bessi V, Black S, Bocchetta M, Borrego‐Ecija S, Bras J, Brice A, Bruffaerts R, Camuzat A, Cañada M, Cantoni V, Caroppo P, Cash D, Castelo‐Branco M, Colliot O, Cope T, Deramecourt V, Arriba M, Di Fede G, Díez A, Duro D, Fenoglio C, Ferrari C, Ferreira CB, Fox N, Freedman M, Fumagalli G, Funkiewiez A, Gabilondo A, Gasparotti R, Gauthier S, Gazzina S, Giaccone G, Gorostidi A, Greaves C, Guerreiro R, Heller C, Hoegen T, Indakoetxea B, Jelic V, Karnath H, Keren R, Kuchcinski G, Langheinrich T, Lebouvier T, Leitão MJ, Lladó A, Lombardi G, Loosli S, Maruta C, Mead S, Meeter L, Miltenberger G, Minkelen R, Mitchell S, Moore K, Nacmias B, Nelson A, Öijerstedt L, Olives J, Ourselin S, Padovani A, Panman J, Papma JM, Pijnenburg Y, Polito C, Premi E, Prioni S, Prix C, Rademakers R, Redaelli V, Rinaldi D, Rittman T, Rogaeva E, Rollin A, Rosa‐Neto P, Rossi G, Rossor M, Santiago B, Saracino D, Sayah S, Scarpini E, Schönecker S, Seelaar H, Semler E, Shafei R, Shoesmith C, Swift I, Tábuas‐Pereira M, Tainta M, Taipa R, Tang‐Wai D, Thomas DL, Thompson P, Thonberg H, Timberlake C, Tiraboschi P, Todd E, Van Damme P, Vandenbulcke M, Veldsman M, Verdelho A, Villanua J, Warren J, Wilke C, Wlasich E, Zetterberg H, Zulaica M. The CBI-R detects early behavioural impairment in genetic frontotemporal dementia. Ann Clin Transl Neurol 2022; 9:644-658. [PMID: 35950369 PMCID: PMC9082390 DOI: 10.1002/acn3.51544] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/23/2022] [Accepted: 02/25/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Behavioural dysfunction is a key feature of genetic frontotemporal dementia (FTD) but validated clinical scales measuring behaviour are lacking at present. METHODS We assessed behaviour using the revised version of the Cambridge Behavioural Inventory (CBI-R) in 733 participants from the Genetic FTD Initiative study: 466 mutation carriers (195 C9orf72, 76 MAPT, 195 GRN) and 267 non-mutation carriers (controls). All mutation carriers were stratified according to their global CDR plus NACC FTLD score into three groups: asymptomatic (CDR = 0), prodromal (CDR = 0.5) and symptomatic (CDR = 1+). Mixed-effects models adjusted for age, education, sex and family clustering were used to compare between the groups. Neuroanatomical correlates of the individual domains were assessed within each genetic group. RESULTS CBI-R total scores were significantly higher in all CDR 1+ mutation carrier groups compared with controls [C9orf72 mean 70.5 (standard deviation 27.8), GRN 56.2 (33.5), MAPT 62.1 (36.9)] as well as their respective CDR 0.5 groups [C9orf72 13.5 (14.4), GRN 13.3 (13.5), MAPT 9.4 (10.4)] and CDR 0 groups [C9orf72 6.0 (7.9), GRN 3.6 (6.0), MAPT 8.5 (13.3)]. The C9orf72 and GRN 0.5 groups scored significantly higher than the controls. The greatest impairment was seen in the Motivation domain for the C9orf72 and GRN symptomatic groups, whilst in the symptomatic MAPTgroup, the highest-scoring domains were Stereotypic and Motor Behaviours and Memory and Orientation. Neural correlates of each CBI-R domain largely overlapped across the different mutation carrier groups. CONCLUSIONS The CBI-R detects early behavioural change in genetic FTD, suggesting that it could be a useful measure within future clinical trials.
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Affiliation(s)
- Annabel Nelson
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Georgia Peakman
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Rhian S Convery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Lize Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia Universitary Hospital, San Sebastian, Spain.,Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Québec, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden.,Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE, Tübingen, Germany
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,University of Milan, Centro Dino Ferrari, Milan, Italy
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium.,Neurology Service, University Hospitals Leuven, Leuven, Belgium.,Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK.,Department of Brain Sciences, Imperial College London, London, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.,Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Duisburg, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, QC, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Département de Neurologie, Centre de référence des démences rares ou précoces, IM2A, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Network for Rare Neurological Diseases (ERN-RND), European Union
| | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Florence Pasquier
- Univ Lille, Lille, France.,Inserm 1172, Lille, France.,CHU, CNR-MAJ, Labex Distalz, LiCEND Lille, Lille, France
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
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Foster PH, Russell LL, Peakman G, Convery RS, Bouzigues A, Greaves CV, Bocchetta M, Cash DM, van Swieten JC, Jiskoot LC, Moreno F, Sanchez-Valle R, Laforce R, Graff C, Masellis M, Tartaglia C, Rowe JB, Borroni B, Finger E, Synofzik M, Galimberti D, Vandenberghe R, de Mendonça A, Butler CR, Gerhard A, Ducharme S, Le Ber I, Tagliavini F, Santana I, Pasquier F, Levin J, Danek A, Otto M, Sorbi S, Rohrer JD. Examining empathy deficits across familial forms of frontotemporal dementia within the GENFI cohort. Cortex 2022; 150:12-28. [PMID: 35325762 PMCID: PMC9067453 DOI: 10.1016/j.cortex.2022.01.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 12/14/2021] [Accepted: 01/09/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Reduced empathy is a common symptom in frontotemporal dementia (FTD). Although empathy deficits have been extensively researched in sporadic cases, few studies have explored the differences in familial forms of FTD. METHODS Empathy was examined using a modified version of the Interpersonal Reactivity Index (mIRI) in 676 participants from the Genetic FTD Initiative: 216 mutation-negative controls, 192 C9orf72 expansion carriers, 193 GRN mutation carriers and 75 MAPT mutation carriers. Using global scores from the CDR® plus NACC FTLD, mutation carriers were divided into three groups, asymptomatic (0), very mildly symptomatic/prodromal (.5), or fully symptomatic (1 or more). The mIRI Total score, as well as the subscores of Empathic Concern (EC) and Perspective Taking (PT) were assessed. Linear regression models with bootstrapping were used to assess empathy ratings across genetic groups, as well as across phenotypes in the symptomatic carriers. Neural correlates of empathy deficits were examined using a voxel-based morphometry (VBM) analysis. RESULTS All fully symptomatic groups scored lower on the mIRI Total, EC, and PT when compared to controls and their asymptomatic or prodromal counterparts (all p < .001). Prodromal C9orf72 expansion carriers also scored significantly lower than controls on the mIRI Total score (p = .046). In the phenotype analysis, all groups (behavioural variant FTD, primary progressive aphasia and FTD with amyotrophic lateral sclerosis) scored significantly lower than controls (all p < .007). VBM revealed an overlapping neural correlate of the mIRI Total score across genetic groups in the orbitofrontal lobe but with additional involvement in the temporal lobe, insula and basal ganglia in both the GRN and MAPT groups, and uniquely more posterior regions such as the parietal lobe and thalamus in the GRN group, and medial temporal structures in the MAPT group. CONCLUSIONS Significant empathy deficits present in genetic FTD, particularly in symptomatic individuals and those with a bvFTD phenotype, while prodromal deficits are only seen using the mIRI in C9orf72 expansion carriers.
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Affiliation(s)
- Phoebe H Foster
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Georgia Peakman
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Rhian S Convery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Centre for Medical Image Computing, University College London, London, UK
| | | | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia Universitary Hospital, San Sebastian, Spain; Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, QC, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden; Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - James B Rowe
- University of Cambridge Department of Clinical Neurosciences, and University of Cambridge Hospitals NHS Trust, University of Cambridge, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany; Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy; University of Milan, Centro Dino Ferrari, Milan, Italy
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium; Neurology Service, University Hospitals Leuven, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK; Department of Brain Sciences, Imperial College London, UK
| | - Alex Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK; Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Reference Network for Rare Neurological Diseases (ERN-RND)
| | | | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Florence Pasquier
- Univ Lille, France; Inserm 1172, Lille, France; CHU, CNR-MAJ, Labex Distalz, LiCEND Lille, France
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
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19
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Johnson AG, Webster JA, Hales CM. Glial profiling of human tauopathy brain demonstrates enrichment of astrocytic transcripts in tau-related frontotemporal degeneration. Neurobiol Aging 2022; 112:55-73. [PMID: 35051675 PMCID: PMC8976718 DOI: 10.1016/j.neurobiolaging.2021.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/10/2021] [Accepted: 12/17/2021] [Indexed: 01/17/2023]
Abstract
To understand how glia may be altered in frontotemporal degeneration with tau pathology (FTD-tau), we used a NanoString glial profiling panel to measure 770 transcripts related to glial biology in human control (n = 8), Alzheimer's disease (AD) (n = 8), and FTD-tau (n = 8) dorsolateral prefrontal cortex. Compared to control, 43 genes were upregulated and 86 genes were downregulated in the FTD-tau samples. Only 3 genes were upregulated and 2 were downregulated in AD. Pathway analysis revealed many astrocyte-, microglia-, and oligodendrocyte-related pathway scores increased in FTD-tau, while neuron-related pathway scores decreased. We compared these results to a previously published proteomic dataset containing many of the same samples and found that the targeted panel approach obtained measurements for genes whose proteins were not measured in the proteomics. Our results point to the utility of multiomic approaches and marked dysregulation of glia in FTD-tau.
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Affiliation(s)
- Ashlyn G Johnson
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Neuroscience Graduate Program, Emory University, Atlanta, GA, USA
| | - James A Webster
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Chadwick M Hales
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Neuroscience Graduate Program, Emory University, Atlanta, GA, USA.
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20
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Katzeff JS, Bright F, Phan K, Kril JJ, Ittner LM, Kassiou M, Hodges JR, Piguet O, Kiernan MC, Halliday GM, Kim WS. Biomarker discovery and development for frontotemporal dementia and amyotrophic lateral sclerosis. Brain 2022; 145:1598-1609. [PMID: 35202463 PMCID: PMC9166557 DOI: 10.1093/brain/awac077] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/08/2022] [Accepted: 02/13/2022] [Indexed: 11/12/2022] Open
Abstract
Frontotemporal dementia refers to a group of neurodegenerative disorders characterized by behaviour and language alterations and focal brain atrophy. Amyotrophic lateral sclerosis is a rapidly progressing neurodegenerative disease characterized by loss of motor neurons resulting in muscle wasting and paralysis. Frontotemporal dementia and amyotrophic lateral sclerosis are considered to exist on a disease spectrum given substantial overlap of genetic and molecular signatures. The predominant genetic abnormality in both frontotemporal dementia and amyotrophic lateral sclerosis is an expanded hexanucleotide repeat sequence in the C9orf72 gene. In terms of brain pathology, abnormal aggregates of TAR-DNA-binding protein-43 are predominantly present in frontotemporal dementia and amyotrophic lateral sclerosis patients. Currently, sensitive and specific diagnostic and disease surveillance biomarkers are lacking for both diseases. This has impeded the capacity to monitor disease progression during life and the development of targeted drug therapies for the two diseases. The purpose of this review is to examine the status of current biofluid biomarker discovery and development in frontotemporal dementia and amyotrophic lateral sclerosis. The major pathogenic proteins implicated in different frontotemporal dementia and amyotrophic lateral sclerosis molecular subtypes and proteins associated with neurodegeneration and the immune system will be discussed. Furthermore, the use of mass spectrometry-based proteomics as an emerging tool to identify new biomarkers in frontotemporal dementia and amyotrophic lateral sclerosis will be summarized.
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Affiliation(s)
- Jared S Katzeff
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia.,The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia
| | - Fiona Bright
- The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia.,Dementia Research Centre and Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
| | - Katherine Phan
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia.,The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia
| | - Jillian J Kril
- The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia.,Dementia Research Centre and Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
| | - Lars M Ittner
- Dementia Research Centre and Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
| | - Michael Kassiou
- The University of Sydney, School of Chemistry, Sydney, NSW, Australia
| | - John R Hodges
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
| | - Olivier Piguet
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia.,The University of Sydney, School of Psychology, Sydney, NSW, Australia
| | - Matthew C Kiernan
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia.,Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Glenda M Halliday
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia.,The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia
| | - Woojin Scott Kim
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia.,The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia
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21
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Shapiro NL, Todd EG, Billot B, Cash DM, Iglesias JE, Warren JD, Rohrer JD, Bocchetta M. In vivo hypothalamic regional volumetry across the frontotemporal dementia spectrum. Neuroimage Clin 2022; 35:103084. [PMID: 35717886 PMCID: PMC9218583 DOI: 10.1016/j.nicl.2022.103084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/07/2022] [Accepted: 06/11/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Frontotemporal dementia (FTD) is a spectrum of diseases characterised by language, behavioural and motor symptoms. Among the different subcortical regions implicated in the FTD symptomatology, the hypothalamus regulates various bodily functions, including eating behaviours which are commonly present across the FTD spectrum. The pattern of specific hypothalamic involvement across the clinical, pathological, and genetic forms of FTD has yet to be fully investigated, and its possible associations with abnormal eating behaviours have yet to be fully explored. METHODS Using an automated segmentation tool for volumetric T1-weighted MR images, we measured hypothalamic regional volumes in a cohort of 439 patients with FTD (197 behavioural variant FTD [bvFTD]; 7 FTD with associated motor neurone disease [FTD-MND]; 99 semantic variant primary progressive aphasia [svPPA]; 117 non-fluent variant PPA [nfvPPA]; 19 PPA not otherwise specified [PPA-NOS]) and 118 age-matched controls. We compared volumes across the clinical, genetic (29 MAPT, 32 C9orf72, 23 GRN), and pathological diagnoses (61 tauopathy, 40 TDP-43opathy, 4 FUSopathy). We correlated the volumes with presence of abnormal eating behaviours assessed with the revised version of the Cambridge Behavioural Inventory (CBI-R). RESULTS On average, FTD patients showed 14% smaller hypothalamic volumes than controls. The groups with the smallest hypothalamic regions were FTD-MND (20%), MAPT (25%) and FUS (33%), with differences mainly localised in the anterior and posterior regions. The inferior tuberal region was only significantly smaller in tauopathies (MAPT and Pick's disease) and in TDP-43 type C compared to controls and was the only regions that did not correlate with eating symptoms. PPA-NOS and nfvPPA were the groups with the least frequent eating behaviours and the least hypothalamic involvement. CONCLUSIONS Abnormal hypothalamic volumes are present in all the FTD forms, but different hypothalamic regions might play a different role in the development of abnormal eating behavioural and metabolic symptoms. These findings might therefore help in the identification of different underlying pathological mechanisms, suggesting the potential use of hypothalamic imaging biomarkers and the research of potential therapeutic targets within the hypothalamic neuropeptides.
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Affiliation(s)
- Noah L Shapiro
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, UK
| | - Emily G Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, UK
| | - Benjamin Billot
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, UK; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK; UK Dementia Research Institute at UCL, UCL, London, UK
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA
| | - Jason D Warren
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, UK.
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22
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Dong T, Tejwani L, Jung Y, Kokubu H, Luttik K, Driessen TM, Lim J. Microglia regulate brain progranulin levels through the endocytosis/lysosomal pathway. JCI Insight 2021; 6:e136147. [PMID: 34618685 PMCID: PMC8663778 DOI: 10.1172/jci.insight.136147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 10/06/2021] [Indexed: 01/01/2023] Open
Abstract
Genetic variants in Granulin (GRN), which encodes the secreted glycoprotein progranulin (PGRN), are associated with several neurodegenerative diseases, including frontotemporal lobar degeneration, neuronal ceroid lipofuscinosis, and Alzheimer's disease. These genetic alterations manifest in pathological changes due to a reduction of PGRN expression; therefore, identifying factors that can modulate PGRN levels in vivo would enhance our understanding of PGRN in neurodegeneration and could reveal novel potential therapeutic targets. Here, we report that modulation of the endocytosis/lysosomal pathway via reduction of Nemo-like kinase (Nlk) in microglia, but not in neurons, can alter total brain Pgrn levels in mice. We demonstrate that Nlk reduction promotes Pgrn degradation by enhancing its trafficking through the endocytosis/lysosomal pathway, specifically in microglia. Furthermore, genetic interaction studies in mice showed that Nlk heterozygosity in Grn haploinsufficient mice further reduces Pgrn levels and induces neuropathological phenotypes associated with PGRN deficiency. Our results reveal a mechanism for Pgrn level regulation in the brain through the active catabolism by microglia and provide insights into the pathophysiology of PGRN-associated diseases.
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Affiliation(s)
- Tingting Dong
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Leon Tejwani
- Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA
- Department of Neuroscience
| | - Youngseob Jung
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Hiroshi Kokubu
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Kimberly Luttik
- Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA
- Department of Neuroscience
| | - Terri M. Driessen
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Janghoo Lim
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA
- Department of Neuroscience
- Program in Cellular Neuroscience, Neurodegeneration and Repair, and
- Yale Stem Cell Center, Yale School of Medicine, New Haven, Connecticut, USA
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23
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Bottero V, Alrafati F, Santiago JA, Potashkin JA. Transcriptomic and Network Meta-Analysis of Frontotemporal Dementias. Front Mol Neurosci 2021; 14:747798. [PMID: 34720873 PMCID: PMC8554122 DOI: 10.3389/fnmol.2021.747798] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/28/2021] [Indexed: 11/30/2022] Open
Abstract
Frontotemporal lobar degeneration (FTLD), also known as frontotemporal dementia (FTD), results in a progressive decline in executive function, leading to behavioral changes, speech problems, and movement disorders. FTD is the second most common cause of young-onset dementia affecting approximately 50–60,000 Americans. FTD exists in familial and sporadic forms, with GRN progranulin and C9orf72 mutations being the most common causes. In this study, we compared the sporadic and familial transcriptome within the cerebellum, frontal cortex, hippocampus, and Brodmann’s area 8 of patients with FTD to determine genes and pathways involved in the disease process. Most dysregulated genes expression occurred in the frontal cortex and Brodmann’s area 8 for genetic and sporadic forms of FTD, respectively. A meta-analysis revealed 50 genes and 95 genes are dysregulated in at least three brain regions in patients with familial mutations and sporadic FTD patients, respectively. Familial FTD genes centered on the Wnt signaling pathway, whereas genes associated with the sporadic form of FTD centered on MAPK signaling. The results reveal the similarities and differences between sporadic and familial FTD. In addition, valproic acid and additional therapeutic agents may be beneficial in treating patients with FTD.
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Affiliation(s)
- Virginie Bottero
- Center for Neurodegenerative Diseases and Therapeutics, Chicago Medical School, Discipline of Cellular and Molecular Pharmacology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
| | - Fahed Alrafati
- Center for Neurodegenerative Diseases and Therapeutics, Chicago Medical School, Discipline of Cellular and Molecular Pharmacology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
| | | | - Judith A Potashkin
- Center for Neurodegenerative Diseases and Therapeutics, Chicago Medical School, Discipline of Cellular and Molecular Pharmacology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
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24
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Anderl-Straub S, Schuster J, Dorst J, Ludolph AC. [Amyotrophic lateral sclerosis and frontotemporal dementia-On the way to common gene-specific treatment approaches]. DER NERVENARZT 2021; 92:1219-1226. [PMID: 34704111 DOI: 10.1007/s00115-021-01209-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/20/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) share common neuropathological features and in the case of a gene mutation, also a genetic cause. To date five ALS-FTD genes are described in the literature in addition to other rare variants. OBJECTIVE The current state of research on treatment options for ALS and FTD is presented and an outlook on possible gene-specific approaches for ALS-FTD is provided. MATERIAL AND METHODS Analysis of the progression of ALS and FTD research by considering the increasing state of knowledge on the underlying pathomechanisms of the diseases. RESULTS In addition to anti-inflammatory approaches and stabilization of protein folding, promising gene-specific treatment approaches are currently being developed, which target common causes of ALS and FTD and therefore have an effect on both diseases. CONCLUSION So far there are no causal treatment options for ALS and FTD. The increasing importance of genetic causes directs the focus to the development of gene-specific treatment.
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Affiliation(s)
- Sarah Anderl-Straub
- Klinik für Neurologie, RKU, Universität Ulm, Oberer Eselsberg 45, 89081, Ulm, Deutschland
| | - Joachim Schuster
- Klinik für Neurologie, RKU, Universität Ulm, Oberer Eselsberg 45, 89081, Ulm, Deutschland
| | - Johannes Dorst
- Klinik für Neurologie, RKU, Universität Ulm, Oberer Eselsberg 45, 89081, Ulm, Deutschland
| | - Albert C Ludolph
- Klinik für Neurologie, RKU, Universität Ulm, Oberer Eselsberg 45, 89081, Ulm, Deutschland.
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25
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De Palma A, Agresta AM, Viglio S, Rossi R, D’Amato M, Di Silvestre D, Mauri P, Iadarola P. A Shotgun Proteomic Platform for a Global Mapping of Lymphoblastoid Cells to Gain Insight into Nasu-Hakola Disease. Int J Mol Sci 2021; 22:9959. [PMID: 34576123 PMCID: PMC8472724 DOI: 10.3390/ijms22189959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 08/13/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022] Open
Abstract
Nasu-Hakola Disease (NHD) is a recessively inherited systemic leukodystrophy disorder characterized by a combination of frontotemporal presenile dementia and lytic bone lesions. NHD is known to be genetically related to a structural defect of TREM2 and DAP12, two genes that encode for different subunits of the membrane receptor signaling complex expressed by microglia and osteoclast cells. Because of its rarity, molecular or proteomic studies on this disorder are absent or scarce, only case reports based on neuropsychological and genetic tests being reported. In light of this, the aim of this paper is to provide evidence on the potential of a label-free proteomic platform based on the Multidimensional Protein Identification Technology (MudPIT), combined with in-house software and on-line bioinformatics tools, to characterize the protein expression trends and the most involved pathways in NHD. The application of this approach on the Lymphoblastoid cells from a family composed of individuals affected by NHD, healthy carriers and control subjects allowed for the identification of about 3000 distinct proteins within the three analyzed groups, among which proteins anomalous to each category were identified. Of note, several differentially expressed proteins were associated with neurodegenerative processes. Moreover, the protein networks highlighted some molecular pathways that may be involved in the onset or progression of this rare frontotemporal disorder. Therefore, this fully automated MudPIT platform which allowed, for the first time, the generation of the whole protein profile of Lymphoblastoid cells from Nasu-Hakola subjects, could be a valid approach for the investigation of similar neurodegenerative diseases.
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Affiliation(s)
- Antonella De Palma
- Proteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20054 Milan, Italy; (A.M.A.); (R.R.); (D.D.S.)
| | - Anna Maria Agresta
- Proteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20054 Milan, Italy; (A.M.A.); (R.R.); (D.D.S.)
| | - Simona Viglio
- Biochemistry Unit, Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; (S.V.); (M.D.)
| | - Rossana Rossi
- Proteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20054 Milan, Italy; (A.M.A.); (R.R.); (D.D.S.)
| | - Maura D’Amato
- Biochemistry Unit, Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; (S.V.); (M.D.)
| | - Dario Di Silvestre
- Proteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20054 Milan, Italy; (A.M.A.); (R.R.); (D.D.S.)
| | - Pierluigi Mauri
- Proteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20054 Milan, Italy; (A.M.A.); (R.R.); (D.D.S.)
| | - Paolo Iadarola
- Biochemistry Unit, Department of Biology and Biotechnologies “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy;
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26
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Bocchetta M, Malpetti M, Todd EG, Rowe JB, Rohrer JD. Looking beneath the surface: the importance of subcortical structures in frontotemporal dementia. Brain Commun 2021; 3:fcab158. [PMID: 34458729 PMCID: PMC8390477 DOI: 10.1093/braincomms/fcab158] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2021] [Indexed: 12/15/2022] Open
Abstract
Whilst initial anatomical studies of frontotemporal dementia focussed on cortical involvement, the relevance of subcortical structures to the pathophysiology of frontotemporal dementia has been increasingly recognized over recent years. Key structures affected include the caudate, putamen, nucleus accumbens, and globus pallidus within the basal ganglia, the hippocampus and amygdala within the medial temporal lobe, the basal forebrain, and the diencephalon structures of the thalamus, hypothalamus and habenula. At the most posterior aspect of the brain, focal involvement of brainstem and cerebellum has recently also been shown in certain subtypes of frontotemporal dementia. Many of the neuroimaging studies on subcortical structures in frontotemporal dementia have been performed in clinically defined sporadic cases. However, investigations of genetically- and pathologically-confirmed forms of frontotemporal dementia are increasingly common and provide molecular specificity to the changes observed. Furthermore, detailed analyses of sub-nuclei and subregions within each subcortical structure are being added to the literature, allowing refinement of the patterns of subcortical involvement. This review focuses on the existing literature on structural imaging and neuropathological studies of subcortical anatomy across the spectrum of frontotemporal dementia, along with investigations of brain–behaviour correlates that examine the cognitive sequelae of specific subcortical involvement: it aims to ‘look beneath the surface’ and summarize the patterns of subcortical involvement have been described in frontotemporal dementia.
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Affiliation(s)
- Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Maura Malpetti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Emily G Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
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27
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Abstract
Greater understanding of the events preceding neurodegeneration is needed to design effective preventive and therapeutic strategies. In this issue of Cell, Bowles et al. (2021) report cerebral organoids that reveal early events in frontotemporal dementia pathogenesis due to mutations in microtubule-associated protein tau (MAPT), shedding light on a novel mechanism involving abnormal splicing and glutamate signaling.
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Affiliation(s)
- Laura Pellegrini
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
| | - Madeline A Lancaster
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
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28
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Ulugut H, Dijkstra AA, Scarioni M, Barkhof F, Scheltens P, Rozemuller AJM, Pijnenburg YAL. Right temporal variant frontotemporal dementia is pathologically heterogeneous: a case-series and a systematic review. Acta Neuropathol Commun 2021; 9:131. [PMID: 34344452 PMCID: PMC8330072 DOI: 10.1186/s40478-021-01229-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/12/2021] [Indexed: 12/11/2022] Open
Abstract
Although the right temporal variant frontotemporal dementia (rtvFTD) is characterised by distinct clinical and radiological features, its underlying histopathology remains elusive. Being considered a right-sided variant of semantic variant primary progressive aphasia (svPPA), TDP-43 type C pathology has been linked to the syndrome, but this has not been studied in detail in large cohorts. In this case report and systematic review, we report the autopsy results of five subjects diagnosed with rtvFTD from our cohort and 44 single rtvFTD subjects from the literature. Macroscopic pathological evaluation of the combined results revealed that rtvFTD demonstrated either a frontotemporal or temporal evolution, even if the degeneration started in the right temporal lobe initially. FTLD-TDP type C was the most common underlying pathology in rtvFTD, however, in 64% of rtvFTD, other underlying pathologies than FTLD-TDP type C were present, such as Tau-MAPT and FTLD-TDP type A and B. Additionally, accompanying motor neuron or corticospinal tract degeneration was observed in 28% of rtvFTD patients. Our results show that in contrast to the general assumption, rtvFTD might not be a pure FTLD-TDP type C disorder, unlike its left temporal counterpart svPPA. Large sample size pathological studies are warranted to understand the diverse pathologies of the right and left temporal variants of frontotemporal dementia.
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29
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Evans HT, Taylor D, Kneynsberg A, Bodea LG, Götz J. Altered ribosomal function and protein synthesis caused by tau. Acta Neuropathol Commun 2021; 9:110. [PMID: 34147135 PMCID: PMC8214309 DOI: 10.1186/s40478-021-01208-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 05/29/2021] [Indexed: 12/22/2022] Open
Abstract
The synthesis of new proteins is a fundamental aspect of cellular life and is required for many neurological processes, including the formation, updating and extinction of long-term memories. Protein synthesis is impaired in neurodegenerative diseases including tauopathies, in which pathology is caused by aberrant changes to the microtubule-associated protein tau. We recently showed that both global de novo protein synthesis and the synthesis of select ribosomal proteins (RPs) are decreased in mouse models of frontotemporal dementia (FTD) which express mutant forms of tau. However, a comprehensive analysis of the effect of FTD-mutant tau on ribosomes is lacking. Here we used polysome profiling, de novo protein labelling and mass spectrometry-based proteomics to examine how ribosomes are altered in models of FTD. We identified 10 RPs which were decreased in abundance in primary neurons taken from the K3 mouse model of FTD. We further demonstrate that expression of human tau (hTau) decreases both protein synthesis and biogenesis of the 60S ribosomal subunit, with these effects being exacerbated in the presence of FTD-associated tau mutations. Lastly, we demonstrate that expression of the amino-terminal projection domain of hTau is sufficient to reduce protein synthesis and ribosomal biogenesis. Together, these data reinforce a role for tau in impairing ribosomal function.
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30
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Lanter JC, Chen AYP, Williamson T, Koenig G, Blain JF, Burnett DA. Discovery of quinuclidine modulators of cellular progranulin. Bioorg Med Chem Lett 2021; 47:128209. [PMID: 34153473 DOI: 10.1016/j.bmcl.2021.128209] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/10/2021] [Accepted: 06/14/2021] [Indexed: 11/16/2022]
Abstract
Phenotypic screening of an annotated small molecule library identified the quinuclidine tetrahydroisoquinoline solifenacin (1) as a robust enhancer of progranulin secretion with single digit micromolar potency in a murine microglial (BV-2) cell line. Subsequent SAR development led to the identification of 29 with a 38-fold decrease in muscarinic receptor antagonist activity and a 10-fold improvement in BV-2 potency.
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Affiliation(s)
- James C Lanter
- Arkuda Therapeutics, 200 Arsenal Yards Blvd Suite 220, Watertown, MA 02472, USA
| | - Angela Y-P Chen
- Arkuda Therapeutics, 200 Arsenal Yards Blvd Suite 220, Watertown, MA 02472, USA
| | - Toni Williamson
- Arkuda Therapeutics, 200 Arsenal Yards Blvd Suite 220, Watertown, MA 02472, USA
| | - Gerhard Koenig
- Arkuda Therapeutics, 200 Arsenal Yards Blvd Suite 220, Watertown, MA 02472, USA
| | - Jean-François Blain
- Arkuda Therapeutics, 200 Arsenal Yards Blvd Suite 220, Watertown, MA 02472, USA
| | - Duane A Burnett
- Arkuda Therapeutics, 200 Arsenal Yards Blvd Suite 220, Watertown, MA 02472, USA
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31
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Dominguez J, Yu JT, Tan YJ, Ng A, De Guzman MF, Natividad B, Daroy ML, Cano J, Yu J, Lian MM, Zeng L, Lim WK, Foo JN, Ng ASL. Novel Optineurin Frameshift Insertion in a Family With Frontotemporal Dementia and Parkinsonism Without Amyotrophic Lateral Sclerosis. Front Neurol 2021; 12:645913. [PMID: 34093394 PMCID: PMC8170397 DOI: 10.3389/fneur.2021.645913] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 04/12/2021] [Indexed: 12/30/2022] Open
Abstract
Frontotemporal Dementia (FTD) is a common cause of Young Onset Dementia and has diverse clinical manifestations involving behavior, executive function, language and motor function, including parkinsonism. Up to 50% of FTD patients report a positive family history, supporting a strong genetic basis, particularly in cases with both FTD and amyotrophic lateral sclerosis (FTD-ALS). Mutations in three genes are associated with the majority of familial FTD (fFTD) cases - microtubule associated protein tau gene (MAPT), granulin precursor (GRN), and hexanucleotide repeat expansions in chromosome 9 open reading frame 72- SMCR8complex subunit (C9orf72) while mutations in other genes such as optineurin (OPTN) have rarely been reported. Mutations in OPTN have been reported mostly in familial and sporadic cases of ALS, or in rare cases of FTD-ALS, but not in association with pure or predominant FTD and/or parkinsonian phenotype. Here, we report for the first time, a family from the Philippines with four members harboring a novel frameshift insertion at OPTN (Chr 10:13166090 G>GA) p.Lys328GluTer11, three of whom presented with FTD-related phenotypes. Additionally, one sibling heterozygous for the frameshift insertion had a predominantly parkinsonian phenotype resembling corticobasal syndrome, but it remains to be determined if this phenotype is related to the frameshift insertion. Notably, none of the affected members showed any evidence of motor neuron disease or ALS at the time of writing, both clinically and on electrophysiological testing, expanding the phenotypic spectrum of OPTN mutations. Close follow-up of mutation carriers for the development of new clinical features and wider investigation of additional family members with further genetic analyses will be conducted to investigate the possibility of other genetic modifiers in this family which could explain phenotypic heterogeneity.
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Affiliation(s)
- Jacqueline Dominguez
- Institute for Neurosciences, St. Luke's Medical Center, Quezon City, Philippines
| | - Jeryl Tan Yu
- Institute for Neurosciences, St. Luke's Medical Center, Quezon City, Philippines
| | - Yi Jayne Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Arlene Ng
- Institute for Neurosciences, St. Luke's Medical Center, Quezon City, Philippines
| | - Ma Fe De Guzman
- Research and Biotechnology Division, St Luke's Medical Centre, Quezon, Philippines
| | - Boots Natividad
- Research and Biotechnology Division, St Luke's Medical Centre, Quezon, Philippines
| | - Ma Luisa Daroy
- Research and Biotechnology Division, St Luke's Medical Centre, Quezon, Philippines
| | - Jemellee Cano
- Institute for Neurosciences, St. Luke's Medical Center, Quezon City, Philippines
| | - Justine Yu
- Institute for Neurosciences, St. Luke's Medical Center, Quezon City, Philippines
| | - Michelle M Lian
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Li Zeng
- Neural Stem Cell Research Lab, Research Department, National Neuroscience Institute, Singapore, Singapore.,Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Weng Khong Lim
- Singhealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
| | - Jia Nee Foo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.,Human Genetics, Genome Institute of Singapore, ASTAR, Singapore, Singapore
| | - Adeline S L Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
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32
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Goodwill V, Coughlin D, Pizzo D, Galasko D, Hansen LA, Yuan SH, Hiniker A. A Case of Frontotemporal Lobar Degeneration With FUS-Positive Pathology (FTLD-FET) With Corticobasal Features and Language Deficits. J Neuropathol Exp Neurol 2021; 80:890-892. [PMID: 33969424 DOI: 10.1093/jnen/nlab034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Vanessa Goodwill
- Department of Pathology, University of California, San Diego, La Jolla, California, USA
| | - David Coughlin
- Department of Neuroscience, University of California, San Diego, La Jolla, California, USA
| | - Donald Pizzo
- Department of Pathology, University of California, San Diego, La Jolla, California, USA
| | - Douglas Galasko
- Department of Neuroscience, University of California, San Diego, La Jolla, California, USA
| | - Lawrence A Hansen
- Department of Pathology, University of California, San Diego, La Jolla, California, USA
| | - Shauna H Yuan
- Department of Neurology, University of Minnesota, Minneapolis, Minnesota, USA.,Geriatrics Research, Education and Clinical Center, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
| | - Annie Hiniker
- Department of Pathology, University of California, San Diego, La Jolla, California, USA
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33
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Panman JL, Venkatraghavan V, van der Ende EL, Steketee RME, Jiskoot LC, Poos JM, Dopper EGP, Meeter LHH, Donker Kaat L, Rombouts SARB, Vernooij MW, Kievit AJA, Premi E, Cosseddu M, Bonomi E, Olives J, Rohrer JD, Sánchez-Valle R, Borroni B, Bron EE, Van Swieten JC, Papma JM, Klein S. Modelling the cascade of biomarker changes in GRN-related frontotemporal dementia. J Neurol Neurosurg Psychiatry 2021; 92:494-501. [PMID: 33452053 PMCID: PMC8053353 DOI: 10.1136/jnnp-2020-323541] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 10/19/2020] [Accepted: 11/24/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Progranulin-related frontotemporal dementia (FTD-GRN) is a fast progressive disease. Modelling the cascade of multimodal biomarker changes aids in understanding the aetiology of this disease and enables monitoring of individual mutation carriers. In this cross-sectional study, we estimated the temporal cascade of biomarker changes for FTD-GRN, in a data-driven way. METHODS We included 56 presymptomatic and 35 symptomatic GRN mutation carriers, and 35 healthy non-carriers. Selected biomarkers were neurofilament light chain (NfL), grey matter volume, white matter microstructure and cognitive domains. We used discriminative event-based modelling to infer the cascade of biomarker changes in FTD-GRN and estimated individual disease severity through cross-validation. We derived the biomarker cascades in non-fluent variant primary progressive aphasia (nfvPPA) and behavioural variant FTD (bvFTD) to understand the differences between these phenotypes. RESULTS Language functioning and NfL were the earliest abnormal biomarkers in FTD-GRN. White matter tracts were affected before grey matter volume, and the left hemisphere degenerated before the right. Based on individual disease severities, presymptomatic carriers could be delineated from symptomatic carriers with a sensitivity of 100% and specificity of 96.1%. The estimated disease severity strongly correlated with functional severity in nfvPPA, but not in bvFTD. In addition, the biomarker cascade in bvFTD showed more uncertainty than nfvPPA. CONCLUSION Degeneration of axons and language deficits are indicated to be the earliest biomarkers in FTD-GRN, with bvFTD being more heterogeneous in disease progression than nfvPPA. Our data-driven model could help identify presymptomatic GRN mutation carriers at risk of conversion to the clinical stage.
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Affiliation(s)
- Jessica L Panman
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands .,Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Vikram Venkatraghavan
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Rebecca M E Steketee
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jackie M Poos
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Elise G P Dopper
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lieke H H Meeter
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Laura Donker Kaat
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Serge A R B Rombouts
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.,Institute for Psychology, Leiden University, Leiden, The Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Anneke J A Kievit
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Enrico Premi
- Centre for Neurodegenerative Disorders, University of Brescia, Brescia, Italy
| | - Maura Cosseddu
- Centre for Neurodegenerative Disorders, University of Brescia, Brescia, Italy
| | - Elisa Bonomi
- Centre for Neurodegenerative Disorders, University of Brescia, Brescia, Italy
| | - Jaume Olives
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | | | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, University of Brescia, Brescia, Italy
| | - Esther E Bron
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John C Van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Janne M Papma
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefan Klein
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
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34
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Cheng F, De Luca A, Hogan AL, Rayner SL, Davidson JM, Watchon M, Stevens CH, Muñoz SS, Ooi L, Yerbury JJ, Don EK, Fifita JA, Villalva MD, Suddull H, Chapman TR, Hedl TJ, Walker AK, Yang S, Morsch M, Shi B, Blair IP, Laird AS, Chung RS, Lee A. Unbiased Label-Free Quantitative Proteomics of Cells Expressing Amyotrophic Lateral Sclerosis (ALS) Mutations in CCNF Reveals Activation of the Apoptosis Pathway: A Workflow to Screen Pathogenic Gene Mutations. Front Mol Neurosci 2021; 14:627740. [PMID: 33986643 PMCID: PMC8111008 DOI: 10.3389/fnmol.2021.627740] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 03/19/2021] [Indexed: 12/12/2022] Open
Abstract
The past decade has seen a rapid acceleration in the discovery of new genetic causes of ALS, with more than 20 putative ALS-causing genes now cited. These genes encode proteins that cover a diverse range of molecular functions, including free radical scavenging (e.g., SOD1), regulation of RNA homeostasis (e.g., TDP-43 and FUS), and protein degradation through the ubiquitin-proteasome system (e.g., ubiquilin-2 and cyclin F) and autophagy (TBK1 and sequestosome-1/p62). It is likely that the various initial triggers of disease (either genetic, environmental and/or gene-environment interaction) must converge upon a common set of molecular pathways that underlie ALS pathogenesis. Given the complexity, it is not surprising that a catalog of molecular pathways and proteostasis dysfunctions have been linked to ALS. One of the challenges in ALS research is determining, at the early stage of discovery, whether a new gene mutation is indeed disease-specific, and if it is linked to signaling pathways that trigger neuronal cell death. We have established a proof-of-concept proteogenomic workflow to assess new gene mutations, using CCNF (cyclin F) as an example, in cell culture models to screen whether potential gene candidates fit the criteria of activating apoptosis. This can provide an informative and time-efficient output that can be extended further for validation in a variety of in vitro and in vivo models and/or for mechanistic studies. As a proof-of-concept, we expressed cyclin F mutations (K97R, S195R, S509P, R574Q, S621G) in HEK293 cells for label-free quantitative proteomics that bioinformatically predicted activation of the neuronal cell death pathways, which was validated by immunoblot analysis. Proteomic analysis of induced pluripotent stem cells (iPSCs) derived from patient fibroblasts bearing the S621G mutation showed the same activation of these pathways providing compelling evidence for these candidate gene mutations to be strong candidates for further validation and mechanistic studies (such as E3 enzymatic activity assays, protein-protein and protein-substrate studies, and neuronal apoptosis and aberrant branching measurements in zebrafish). Our proteogenomics approach has great utility and provides a relatively high-throughput screening platform to explore candidate gene mutations for their propensity to cause neuronal cell death, which will guide a researcher for further experimental studies.
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Affiliation(s)
- Flora Cheng
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Alana De Luca
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Alison L Hogan
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Stephanie L Rayner
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Jennilee M Davidson
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Maxinne Watchon
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Claire H Stevens
- Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, NSW, Australia.,School of Chemistry and Molecular Bioscience and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Sonia Sanz Muñoz
- Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, NSW, Australia.,School of Chemistry and Molecular Bioscience and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Lezanne Ooi
- Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, NSW, Australia.,School of Chemistry and Molecular Bioscience and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Justin J Yerbury
- Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, NSW, Australia.,School of Chemistry and Molecular Bioscience and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Emily K Don
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Jennifer A Fifita
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Maria D Villalva
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Hannah Suddull
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Tyler R Chapman
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Thomas J Hedl
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Adam K Walker
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia.,Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Shu Yang
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Marco Morsch
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Bingyang Shi
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Ian P Blair
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Angela S Laird
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Roger S Chung
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Albert Lee
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia
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35
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Popuri K, Beg MF, Lee H, Balachandar R, Wang L, Sossi V, Jacova C, Baker M, Shahinfard E, Rademakers R, Mackenzie IRA, Hsiung GYR. FDG-PET in presymptomatic C9orf72 mutation carriers. Neuroimage Clin 2021; 31:102687. [PMID: 34049163 PMCID: PMC8170157 DOI: 10.1016/j.nicl.2021.102687] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Our aim is to investigate patterns of brain glucose metabolism using fluorodeoxyglucose positron emission tomography (FDG-PET) in presymptomatic carriers of the C9orf72 repeat expansion to better understand the early preclinical stages of frontotemporal dementia (FTD). METHODS Structural MRI and FDG-PET were performed on clinically asymptomatic members of families with FTD caused by the C9orf72 repeat expansion (15 presymptomatic mutation carriers, C9orf72+; 20 non-carriers, C9orf72-). Regional glucose metabolism in cerebral and cerebellar gray matter was compared between groups. RESULTS The mean age of the C9orf72+ and C9orf72- groups were 45.3 ± 10.6 and 56.0 ± 11.0 years respectively, and the mean age of FTD onset in their families was 56 ± 7 years. Compared to non-carrier controls, the C9orf72+ group exhibited regional hypometabolism, primarily involving the cingulate gyrus, frontal and temporal neocortices (left > right) and bilateral thalami. CONCLUSIONS The C9orf72 repeat expansion is associated with changes in brain glucose metabolism that are demonstrable up to 10 years prior to symptom onset and before changes in gray matter volume become significant. These findings indicate that FDG-PET may be a particularly sensitive and useful method for investigating and monitoring the earliest stages of FTD in individuals with this underlying genetic basis.
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Affiliation(s)
| | | | - Hyunwoo Lee
- Division of Neurology, Department of Medicine, University of British Columbia
| | | | - Lei Wang
- Departments of Psychiatry and Behavioral Sciences and Radiology, Feinberg School of Medicine, Northwestern University
| | - Vesna Sossi
- Department of Physics and Astronomy, University of British Columbia
| | | | | | - Elham Shahinfard
- Department of Physics and Astronomy, University of British Columbia
| | | | - Ian R A Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia
| | - Ging-Yuek R Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia.
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Expression of C9orf72 hexanucleotide repeat expansion leads to formation of RNA foci and dipeptide repeat proteins but does not influence autophagy or proteasomal function in neuronal cells. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2021; 1868:119021. [PMID: 33775797 DOI: 10.1016/j.bbamcr.2021.119021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 03/06/2021] [Accepted: 03/22/2021] [Indexed: 12/22/2022]
Abstract
C9orf72 hexanucleotide repeat expansion (HRE) is the major genetic cause underpinning frontotemporal lobar degeneration (FLTD) and amyotrophic lateral sclerosis (ALS). C9orf72 HRE-associated pathogenesis involves both loss-of-function, through reduced C9orf72 levels, and gain-of-function mechanisms, including formation of RNA foci and generation of dipeptide repeat (DPR) proteins. In addition, dysfunctional protein degradation pathways, i.e. autophagy and ubiquitin-proteasome system (UPS), are suggested. Our aim was to study the gain-of-function mechanisms in the context of the function of protein degradation pathways as well as the regulation of the DPR proteins through these pathways. To this end, we expressed the pathological HRE in neuronal N2a cells and mouse primary cortical neurons. Protein degradation pathways were modulated to induce or block autophagy or to inhibit UPS. In addition, proteasomal activity was assessed. The C9orf72 HRE-expressing N2a cells and neurons were confirmed to produce RNA foci and DPR proteins, predominantly the Poly-GP proteins. However, the presence of these pathological hallmarks did not result in alterations in autophagy or proteasomal activity in either of the studied cell types. In N2a cells, Poly-GP proteins appeared in soluble forms and Lactacystin-mediated UPS inhibition increased their levels, indicating proteasomal regulation. Similar effects were not observed in cortical neurons, where the Poly-GP proteins formed also higher molecular weight forms. These results suggest a cell type-specific morphology and regulation of the DPR proteins. Further studies in other model systems may shed additional light onto the effects of the C9orf72 HRE on cellular protein degradation pathways and the regulation of the DPR protein levels.
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Clarke MTM, St-Onge F, Beauregard JM, Bocchetta M, Todd E, Cash DM, Rohrer JD, Laforce R. Early anterior cingulate involvement is seen in presymptomatic MAPT P301L mutation carriers. ALZHEIMERS RESEARCH & THERAPY 2021; 13:42. [PMID: 33568215 PMCID: PMC7876816 DOI: 10.1186/s13195-021-00777-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 01/25/2021] [Indexed: 12/12/2022]
Abstract
Background PET imaging of glucose metabolism has revealed presymptomatic abnormalities in genetic FTD but has not been explored in MAPT P301L mutation carriers. This study aimed to explore the patterns of presymptomatic hypometabolism and atrophy in MAPT P301L mutation carriers. Methods Eighteen asymptomatic members from five families with a P301L MAPT mutation were recruited to the study, six mutation carriers, and twelve mutation-negative controls. All participants underwent standard behavioural and cognitive assessment as well as [18F]FDG-PET and 3D T1-weighted MRI brain scans. Regional standardised uptake value ratios (SUVR) for the PET scan and volumes calculated from an automated segmentation for the MRI were obtained and compared between the mutation carrier and control groups. Results The mean (standard deviation) estimated years from symptom onset was 12.5 (3.6) in the mutation carrier group with a range of 7 to 18 years. No differences in cognition were seen between the groups, and all mutation carriers had a global CDR plus NACC FTLD of 0. Significant reduction in [18F] FDG uptake in the anterior cingulate was seen in mutation carriers (mean 1.25 [standard deviation 0.07]) compared to controls (1.36 [0.09]). A similar significant reduction was also seen in grey matter volume in the anterior cingulate in mutation carriers (0.60% [0.06%]) compared to controls (0.68% [0.08%]). No other group differences were seen in other regions. Conclusions Anterior cingulate hypometabolism and atrophy are both apparent presymptomatically in a cohort of P301L MAPT mutation carriers. Such a specific marker may prove to be helpful in stratification of presymptomatic mutation carriers in future trials. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00777-9.
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Affiliation(s)
- Mica T M Clarke
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
| | - Frédéric St-Onge
- Centre de Recherche du CHU de Québec, Université Laval, Québec, QC, Canada.,Clinique Interdisciplinaire de Mémoire (CIME), Département des Sciences Neurologiques, CHU de Québec-Université Laval, Québec, QC, Canada.,Faculté de Médecine, Département de médecine, Université Laval, Québec, QC, Canada
| | | | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Emily Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Robert Laforce
- Centre de Recherche du CHU de Québec, Université Laval, Québec, QC, Canada.,Clinique Interdisciplinaire de Mémoire (CIME), Département des Sciences Neurologiques, CHU de Québec-Université Laval, Québec, QC, Canada.,Faculté de Médecine, Département de médecine, Université Laval, Québec, QC, Canada.,CHU de Québec, Québec, QC, Canada
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38
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Abstract
PURPOSE OF REVIEW Frontotemporal dementia (FTD) is a rare dementia, that accounts for about 15% of all dementia cases. Despite consensus diagnostic criteria, FTD remains difficult to diagnose in life because of its complex and variable clinical phenomenology and heterogeneous disorders. This review provides an update on the current knowledge of the main FTD syndromes -- the behavioural variant, semantic variant, and nonfluent/agrammatic variant-- their brain abnormalities and genetic profiles. RECENT FINDINGS The complexity of the clinical features in FTD has become increasingly apparent, particularly in the domain of behaviour. Such behaviour changes are now also being recognized in the language variants of FTD. Initial interest on emotion processing and social cognition is now complemented by studies on other behavioural disturbance, that spans gambling, antisocial behaviours, repetitive behaviours, and apathy. At a biological level, novel pathological subcategories continue to be identified. From a genetic viewpoint, abnormalities in three genes explain nearly three quarters of familial cases of FTD. SUMMARY In the absence of effective drug treatments, novel approaches are needed to target some of the most disabling features of FTD, such as language loss or behaviour disturbance. Recent interventions appear promising but will require confirmation.
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Riemslagh FW, van der Toorn EC, Verhagen RFM, Maas A, Bosman LWJ, Hukema RK, Willemsen R. Inducible expression of human C9ORF72 36x G 4C 2 hexanucleotide repeats is sufficient to cause RAN translation and rapid muscular atrophy in mice. Dis Model Mech 2021; 14:dmm.044842. [PMID: 33431483 PMCID: PMC7903916 DOI: 10.1242/dmm.044842] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 12/17/2020] [Indexed: 12/29/2022] Open
Abstract
The hexanucleotide G4C2 repeat expansion in the first intron of the C9ORF72 gene explains the majority of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) cases. Numerous studies have indicated the toxicity of dipeptide repeats (DPRs) which are produced via repeat-associated non-AUG (RAN) translation from the repeat expansion and accumulate in the brain of C9FTD/ALS patients. Mouse models expressing the human C9ORF72 repeat and/or DPRs show variable pathological, functional, and behavioral characteristics of FTD and ALS. Here, we report a new Tet-on inducible mouse model that expresses 36x pure G4C2 repeats with 100bp upstream and downstream human flanking regions. Brain specific expression causes the formation of sporadic sense DPRs aggregates upon 6 months dox induction but no apparent neurodegeneration. Expression in the rest of the body evokes abundant sense DPRs in multiple organs, leading to weight loss, neuromuscular junction disruption, myopathy, and a locomotor phenotype within the time frame of four weeks. We did not observe any RNA foci or pTDP-43 pathology. Accumulation of DPRs and the myopathy phenotype could be prevented when 36x G4C2 repeat expression was stopped after 1 week. After 2 weeks of expression, the phenotype could not be reversed, even though DPR levels were reduced. In conclusion, expression of 36x pure G4C2 repeats including 100bp human flanking regions is sufficient for RAN translation of sense DPRs and evokes a functional locomotor phenotype. Our inducible mouse model suggests early diagnosis and treatment are important for C9FTD/ALS patients.
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Affiliation(s)
- F W Riemslagh
- Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E C van der Toorn
- Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - R F M Verhagen
- Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - A Maas
- Department of Cell Biology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L W J Bosman
- Department of Neuroscience, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - R K Hukema
- Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - R Willemsen
- Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
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40
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Neumann M, Lee EB, Mackenzie IR. Frontotemporal Lobar Degeneration TDP-43-Immunoreactive Pathological Subtypes: Clinical and Mechanistic Significance. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:201-217. [PMID: 33433877 DOI: 10.1007/978-3-030-51140-1_13] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Frontotemporal lobar degeneration with TPD-43-immunoreactive pathology (FTLD-TDP) is subclassified based on the type and cortical laminar distribution of neuronal inclusions. The relevance of these pathological subtypes is supported by the presence of relatively specific clinical and genetic correlations. Recent evidence suggests that the different patterns of pathology are a reflection of biochemical differences in the pathological TDP-43 species, each of which is influenced by differing genetic factors. As a result, patient FTLD-TDP subtype may be an important factor to consider when developing biomarkers and targeted therapies for frontotemporal dementia. In this chapter, we first describe the pathological features, clinical and genetic correlations of the currently recognized FTLD-TDP subtypes. We then discuss a number of novel patterns of TDP-43 pathology. Finally, we provide an overview of what is currently known about the biochemical basis of the different FTLD-TDP subtypes and how this may explain the observed phenotypic and pathological heterogeneity.
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Affiliation(s)
- Manuela Neumann
- Department of Neuropathology, University of Tübingen, Tübingen, Germany.,DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Ian R Mackenzie
- Department of Pathology, University of British Columbia, Vancouver, BC, Canada. .,Department of Pathology, Vancouver General Hospital, Vancouver, BC, Canada.
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Malpetti M, Jones PS, Tsvetanov KA, Rittman T, van Swieten JC, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Synofzik M, Galimberti D, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, de Mendonça A, Tagliavini F, Santana I, Ducharme S, Butler CR, Gerhard A, Levin J, Danek A, Otto M, Frisoni GB, Ghidoni R, Sorbi S, Heller C, Todd EG, Bocchetta M, Cash DM, Convery RS, Peakman G, Moore KM, Rohrer JD, Kievit RA, Rowe JB, Genfi GFI. Apathy in presymptomatic genetic frontotemporal dementia predicts cognitive decline and is driven by structural brain changes. Alzheimers Dement 2020; 17:969-983. [PMID: 33316852 PMCID: PMC8247340 DOI: 10.1002/alz.12252] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/15/2020] [Accepted: 11/03/2020] [Indexed: 12/31/2022]
Abstract
Introduction Apathy adversely affects prognosis and survival of patients with frontotemporal dementia (FTD). We test whether apathy develops in presymptomatic genetic FTD, and is associated with cognitive decline and brain atrophy. Methods Presymptomatic carriers of MAPT, GRN or C9orf72 mutations (N = 304), and relatives without mutations (N = 296) underwent clinical assessments and MRI at baseline, and annually for 2 years. Longitudinal changes in apathy, cognition, gray matter volumes, and their relationships were analyzed with latent growth curve modeling. Results Apathy severity increased over time in presymptomatic carriers, but not in non‐carriers. In presymptomatic carriers, baseline apathy predicted cognitive decline over two years, but not vice versa. Apathy progression was associated with baseline low gray matter volume in frontal and cingulate regions. Discussion Apathy is an early marker of FTD‐related changes and predicts a subsequent subclinical deterioration of cognition before dementia onset. Apathy may be a modifiable factor in those at risk of FTD.
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Affiliation(s)
- Maura Malpetti
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - P Simon Jones
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Kamen A Tsvetanov
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | | | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Centre for Neurodegenerative Disorders, University of Brescia, Brescia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer's disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Fermin Moreno
- Department of Neurology, Cognitive Disorders Unit, Donostia Universitary Hospital, San Sebastian, Spain.,Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Faculté de Médecine, Université Laval, Québec, Canada
| | - Caroline Graff
- Department of Neurobiology Care Sciences and Society, Center for Alzheimer Research, Division of Neurogeriatrics, Bioclinicum, Karolinska Institutet, Solna, Sweden.,Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,Centro Dino Ferrari, University of Milan, Milan, Italy
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Rik Vandenberghe
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium.,Neurology Service, University Hospitals Leuven, Leuven, Belgium.,KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | | | | | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.,Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg- Essen, Duisburg, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Sandro Sorbi
- Department of Neuroscience Psychology Drug Research and Child Health, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Carolin Heller
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Emily G Todd
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rhian S Convery
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Georgia Peakman
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Katrina M Moore
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.,Cognitive Neuroscience Department, Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | - James B Rowe
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
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Chornenka K, Hirsch-Reinshagen V, Perez-Rosendahl M, Feldman H, Segal-Gidan F, Vinters HV, Mackenzie IR. Expanding the Phenotype of Frontotemporal Lobar Degeneration With FUS-Positive Pathology (FTLD-FUS). J Neuropathol Exp Neurol 2020; 79:809-812. [PMID: 32483606 DOI: 10.1093/jnen/nlaa045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 04/27/2020] [Indexed: 12/14/2022] Open
Abstract
Atypical frontotemporal lobar degeneration with ubiquitin-positive inclusions (aFTLD-U) is an uncommon cause of frontotemporal dementia characterized by fused in sarcoma-positive inclusions. It is classified as a subtype of frontotemporal lobar degeneration with FUS pathology. Cases with aFTLD-U pathology typically display an early onset of symptoms and severe psychobehavioral changes in the absence of significant aphasia, cognitive-intellectual dysfunction or motor features. This phenotype is regarded as being sufficiently unusual and consistent as to allow antemortem diagnosis with a high degree of accuracy. In this report, we describe 2 cases with aFTLD-U pathology that broaden the associated phenotype to include later age of onset, milder behavioral abnormalities and early memory and language impairment.
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Affiliation(s)
| | - Veronica Hirsch-Reinshagen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Howard Feldman
- Department of Neurosciences, University of California, San Diego
| | - Freddi Segal-Gidan
- Division of Neurology, Keck School of Medicine, University of Southern California, Los Angeles
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, California.,Department of Pathology and Laboratory Medicine, University of Alberta, Alberta, Canada
| | - Ian R Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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43
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Cousins KAQ, Phillips JS, Irwin DJ, Lee EB, Wolk DA, Shaw LM, Zetterberg H, Blennow K, Burke SE, Kinney NG, Gibbons GS, McMillan CT, Trojanowski JQ, Grossman M. ATN incorporating cerebrospinal fluid neurofilament light chain detects frontotemporal lobar degeneration. Alzheimers Dement 2020; 17:822-830. [PMID: 33226735 DOI: 10.1002/alz.12233] [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] [Received: 08/11/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION The ATN framework provides an in vivo diagnosis of Alzheimer's disease (AD) using cerebrospinal fluid (CSF) biomarkers of pathologic amyloid plaques (A), tangles (T), and neurodegeneration (N). ATN is rarely evaluated in pathologically confirmed patients and its poor sensitivity to suspected non-Alzheimer's pathophysiologies (SNAP), including frontotemporal lobar degeneration (FTLD), leads to misdiagnoses. We compared accuracy of ATN (ATNTAU ) using CSF total tau (t-tau) to a modified strategy (ATNNfL ) using CSF neurofilament light chain (NfL) in an autopsy cohort. METHODS ATNTAU and ATNNfL were trained in an independent sample and validated in autopsy-confirmed AD (n = 67) and FTLD (n = 27). RESULTS ATNNfL more accurately identified FTLD as SNAP (sensitivity = 0.93, specificity = 0.94) than ATNTAU (sensitivity = 0.44, specificity = 0.97), even in cases with co-occurring AD and FTLD. ATNNfL misclassified fewer AD and FTLD as "Normal" (2%) than ATNTAU (14%). DISCUSSION ATNNfL is a promising diagnostic strategy that may accurately identify both AD and FTLD, even when pathologies co-occur.
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Affiliation(s)
- Katheryn A Q Cousins
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeffrey S Phillips
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK.,UK Dementia Research Institute, University College London, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Sarah E Burke
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nikolas G Kinney
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Garrett S Gibbons
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Stalpaert J, Cocquyt EM, Criel Y, Segers L, Miatton M, Van Langenhove T, van Mierlo P, De Letter M. Language and Speech Markers of Primary Progressive Aphasia: A Systematic Review. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2020; 29:2206-2225. [PMID: 32810414 DOI: 10.1044/2020_ajslp-20-00008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Purpose This systematic review aimed to establish language and speech markers to support the clinical diagnosis of primary progressive aphasia (PPA) and its clinical phenotypes. Our first objective was to identify behavioral language and speech markers of early-stage PPA. Our second objective was to identify the electrophysiological correlates of the language and speech characteristics in PPA. Method The databases MEDLINE, Web of Science, and Embase were searched for relevant articles. To identify behavioral markers, the initial subjective complaints and the language and speech deficits detected during the initial diagnostic evaluation were summarized for PPA in general and each clinical variant according to the 2011 consensus diagnostic criteria (nonfluent variant [NFV], semantic variant, and logopenic variant [LV]). To identify electrophysiological markers, the studies in which event-related potentials (ERPs) were elicited by a language or speech paradigm in patients with PPA were included. Results In total, 114 relevant studies were identified, including 110 behavioral studies and only four electrophysiological studies. This review suggests that patients with the semantic variant could be accurately differentiated from the NFV and LV in the initial stages based on the consensus criteria. Nonetheless, the early differentiation between the NFV and LV is not straightforward. In the four electrophysiological studies, differences in the latency, amplitude, and topographical distribution of the semantic N400 component were found between patients with PPA and healthy controls. Conclusions To accurately differentiate the NFV from the LV, it could be important to assess the language and speech degeneration by more specific assessments and by more objective diagnostic methods that offer insights into the language-related processes. Electrophysiological markers of PPA were not identified in this review due to the low number of studies that investigated language-related ERPs. More controlled ERP studies in larger patient cohorts are needed to investigate the diagnostic applicability of language-related ERPs in PPA. Supplemental Material https://doi.org/10.23641/asha.12798080.
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Affiliation(s)
- Jara Stalpaert
- Department of Rehabilitation Sciences, Ghent University, Belgium
| | | | - Yana Criel
- Department of Rehabilitation Sciences, Ghent University, Belgium
| | - Lieselot Segers
- Department of Rehabilitation Sciences, Ghent University, Belgium
| | | | | | - Pieter van Mierlo
- Medical Image and Signal Processing Group, Department of Electronics and Information Systems, Ghent University, Belgium
| | - Miet De Letter
- Department of Rehabilitation Sciences, Ghent University, Belgium
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45
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Neumann M, Frick P, Paron F, Kosten J, Buratti E, Mackenzie IR. Antibody against TDP-43 phosphorylated at serine 375 suggests conformational differences of TDP-43 aggregates among FTLD-TDP subtypes. Acta Neuropathol 2020; 140:645-658. [PMID: 32778941 PMCID: PMC7547034 DOI: 10.1007/s00401-020-02207-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 07/28/2020] [Accepted: 08/01/2020] [Indexed: 12/11/2022]
Abstract
Aggregation of hyperphosphorylated TDP-43 is the hallmark pathological feature of the most common molecular form of frontotemporal lobar degeneration (FTLD-TDP) and in the vast majority of cases with amyotrophic lateral sclerosis (ALS-TDP). However, most of the specific phosphorylation sites remain to be determined, and their relevance regarding pathogenicity and clinical and pathological phenotypic diversity in FTLD-TDP and ALS-TDP remains to be identified. Here, we generated a novel antibody raised against TDP-43 phosphorylated at serine 375 (pTDP-43S375) located in the low-complexity domain, and used it to investigate the presence of S375 phosphorylation in a series (n = 44) of FTLD-TDP and ALS-TDP cases. Immunoblot analysis demonstrated phosphorylation of S375 to be a consistent feature of pathological TDP-43 species, including full-length and C-terminal fragments, in all FTLD-TDP subtypes examined (A-C) and in ALS-TDP. Of particular interest, however, detailed immunohistochemical analysis showed striking differences in the immunoreactivity profile of inclusions with the pTDP-43S375 antiserum among pathological subtypes. TDP-43 pathology of ALS-TDP, FTLD-TDP type B (including cases with the C9orf72 mutation), and FTLD-TDP type C all showed strong pTDP-43S375 immunoreactivity that was similar in amount and morphology to that seen with an antibody against TDP-43 phosphorylated at S409/410 used as the gold standard. In stark contrast, TDP-43 pathology in sporadic and genetic forms of FTLD-TDP type A (including cases with GRN and C9orf72 mutations) was found to be almost completely negative by pTDP-43S375 immunohistochemistry. These data suggest a subtype-specific, conformation-dependent binding of pTDP-43S375 antiserum to TDP-43 aggregates, consistent with the idea of distinct structural TDP-43 conformers (i.e., TDP-43 strains) as the molecular basis for the phenotypic diversity in TDP-43 proteinopathies.
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Affiliation(s)
- Manuela Neumann
- Molecular Neuropathology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) Tübingen, Otfried-Müllerstr. 23, 72072, Tübingen, Germany.
- Department of Neuropathology, University Hospital of Tübingen, Tübingen, Germany.
| | - Petra Frick
- Molecular Neuropathology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) Tübingen, Otfried-Müllerstr. 23, 72072, Tübingen, Germany
| | - Francesca Paron
- Department of Molecular Pathology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Jonas Kosten
- Molecular Neuropathology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) Tübingen, Otfried-Müllerstr. 23, 72072, Tübingen, Germany
| | - Emanuele Buratti
- Department of Molecular Pathology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Ian R Mackenzie
- Department of Pathology, University of British Columbia and Vancouver General Hospital, Vancouver, Canada
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46
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Woollacott IO, Nicholas JM, Heller C, Foiani MS, Moore KM, Russell LL, Paterson RW, Keshavan A, Schott JM, Warren JD, Heslegrave A, Zetterberg H, Rohrer JD. Cerebrospinal Fluid YKL-40 and Chitotriosidase Levels in Frontotemporal Dementia Vary by Clinical, Genetic and Pathological Subtype. Dement Geriatr Cogn Disord 2020; 49:56-76. [PMID: 32344399 PMCID: PMC7513620 DOI: 10.1159/000506282] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/30/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Chronic glial dysfunction may contribute to the pathogenesis of frontotemporal dementia (FTD). Cerebrospinal fluid (CSF) levels of glia-derived proteins YKL-40 and chitotriosidase are increased in Alzheimer's disease (AD) but have not been explored in detail across the spectrum of FTD. METHODS We investigated whether CSF YKL-40 and chitotriosidase levels differed between FTD patients and controls, across different clinical and genetic subtypes of FTD, and between individuals with a clinical FTD syndrome due to AD versus non-AD (frontotemporal lobar degeneration, FTLD) pathology (based on CSF neurodegenerative biomarkers). Eighteen healthy controls and 64 people with FTD (behavioural variant FTD, n = 20; primary progressive aphasia [PPA], n = 44: nfvPPA, n = 16, svPPA, n = 11, lvPPA, n = 14, PPA-NOS, n = 3) were included. 10/64 had familial FTD, with mutations in GRN(n = 3), MAPT(n = 4), or C9orf72 (n = 3). 15/64 had neurodegenerative biomarkers consistent with AD pathology. Levels were measured by immunoassay and compared using multiple linear regressions. We also examined relationships of YKL-40 and chitotriosidase with CSF total tau (T-tau), phosphorylated tau 181 (P-tau) and β-amyloid 1-42 (Aβ42), with each other, and with age and disease du-ration. RESULTS CSF YKL-40 and chitotriosidase levels were higher in FTD, particularly lvPPA (both) and nfvPPA (YKL-40), compared with controls. GRN mutation carriers had higher levels of both proteins than controls and C9orf72 expansion carriers, and YKL-40 was higher in MAPT mutation carriers than controls. Individuals with underlying AD pathology had higher YKL-40 and chitotriosidase levels than both controls and those with likely FTLD pathology. CSF YKL-40 and chitotriosidase levels were variably associated with levels of T-tau, P-tau and Aβ42, and with each other, depending on clinical syndrome and underlying pathology. CSF YKL-40 but not chitotriosidase was associated with age, but not disease duration. CONCLUSION CSF YKL-40 and chitotriosidase levels are increased in individuals with clinical FTD syndromes, particularly due to AD pathology. In a preliminary analysis of genetic groups, levels of both proteins are found to be highly elevated in FTD due to GRN mutations, while YKL-40 is increased in individuals with MAPT mutations. As glia-derived protein levels generally correlate with T-tau and P-tau levels, they may reflect the glial response to neurodegeneration in FTLD.
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Affiliation(s)
- Ione O.C. Woollacott
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Jennifer M. Nicholas
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Carolin Heller
- UK Dementia Research Institute, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Martha S. Foiani
- UK Dementia Research Institute, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Katrina M. Moore
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Lucy L. Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Ross W. Paterson
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Ashvini Keshavan
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Jonathan M. Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Jason D. Warren
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Amanda Heslegrave
- UK Dementia Research Institute, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom
| | - Henrik Zetterberg
- UK Dementia Research Institute, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Jonathan D. Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London, United Kingdom,*Dr. Jonathan D. Rohrer, Dementia Research Centre, Department of Neurodegenerative Disease, Queen Square UCL Institute of Neurology, London WC1N 3BG (UK),
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47
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Neumann M, Mackenzie IRA. Review: Neuropathology of non-tau frontotemporal lobar degeneration. Neuropathol Appl Neurobiol 2020; 45:19-40. [PMID: 30357887 DOI: 10.1111/nan.12526] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 09/29/2018] [Indexed: 12/12/2022]
Abstract
Frontotemporal dementia (FTD) is a heterogeneous clinical syndrome associated with frontotemporal lobar degeneration (FTLD) as a relatively consistent neuropathological hallmark feature. However, the discoveries in the past decade of many of the relevant pathological proteins aggregating in human FTD brains in addition to several new FTD causing gene mutations underlined that FTD is a diverse condition on the neuropathological and genetic basis. This resulted in a novel molecular classification of these conditions based on the predominant protein abnormality and allows most cases of FTD to be placed now into one of three broad molecular subgroups; FTLD with tau, TAR DNA-binding protein 43 or FET protein accumulation (FTLD-tau, FTLD-TDP and FTLD-FET respectively). This review will provide an overview of the molecular neuropathology of non-tau FTLD, insights into disease mechanisms gained from the study of human post mortem tissue as well as discussion of current controversies in the field.
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Affiliation(s)
- M Neumann
- Department of Neuropathology, University Hospital of Tübingen, Tübingen, Germany.,Molecular Neuropathology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - I R A Mackenzie
- Department of Pathology, University of British Columbia and Vancouver General Hospital, Vancouver, BC, Canada
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48
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Liscic RM, Alberici A, Cairns NJ, Romano M, Buratti E. From basic research to the clinic: innovative therapies for ALS and FTD in the pipeline. Mol Neurodegener 2020; 15:31. [PMID: 32487123 PMCID: PMC7268618 DOI: 10.1186/s13024-020-00373-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 03/27/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and Frontotemporal Degeneration (FTD) are neurodegenerative disorders, related by deterioration of motor and cognitive functions and short survival. Aside from cases with an inherited pathogenic mutation, the causes of the disorders are still largely unknown and no effective treatment currently exists. It has been shown that FTD may coexist with ALS and this overlap occurs at clinical, genetic, and molecular levels. In this work, we review the main pathological aspects of these complex diseases and discuss how the integration of the novel pathogenic molecular insights and the analysis of molecular interaction networks among all the genetic players represents a critical step to shed light on discovering novel therapeutic strategies and possibly tailoring personalized medicine approaches to specific ALS and FTD patients.
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Affiliation(s)
- Rajka Maria Liscic
- Department of Neurology, Johannes Kepler University, Linz, Austria
- School of Medicine, University of Osijek, Osijek, Croatia
| | - Antonella Alberici
- Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili-University of Brescia, Brescia, Italy
| | - Nigel John Cairns
- College of Medicine and Health and Living Systems Institute, University of Exeter, Exeter, UK
| | - Maurizio Romano
- Department of Life Sciences, Via Valerio 28, University of Trieste, 34127, Trieste, Italy
| | - Emanuele Buratti
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Padriciano 99, 34149, Trieste, Italy.
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49
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Ashton NJ, Hye A, Rajkumar AP, Leuzy A, Snowden S, Suárez-Calvet M, Karikari TK, Schöll M, La Joie R, Rabinovici GD, Höglund K, Ballard C, Hortobágyi T, Svenningsson P, Blennow K, Zetterberg H, Aarsland D. An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders. Nat Rev Neurol 2020; 16:265-284. [PMID: 32322100 DOI: 10.1038/s41582-020-0348-0] [Citation(s) in RCA: 108] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2020] [Indexed: 01/11/2023]
Abstract
Cerebrospinal fluid analyses and neuroimaging can identify the underlying pathophysiology at the earliest stage of some neurodegenerative disorders, but do not have the scalability needed for population screening. Therefore, a blood-based marker for such pathophysiology would have greater utility in a primary care setting and in eligibility screening for clinical trials. Rapid advances in ultra-sensitive assays have enabled the levels of pathological proteins to be measured in blood samples, but research has been predominantly focused on Alzheimer disease (AD). Nonetheless, proteins that were identified as potential blood-based biomarkers for AD, for example, amyloid-β, tau, phosphorylated tau and neurofilament light chain, are likely to be relevant to other neurodegenerative disorders that involve similar pathological processes and could also be useful for the differential diagnosis of clinical symptoms. This Review outlines the neuropathological, clinical, molecular imaging and cerebrospinal fluid features of the most common neurodegenerative disorders outside the AD continuum and gives an overview of the current status of blood-based biomarkers for these disorders.
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Affiliation(s)
- Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Abdul Hye
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Anto P Rajkumar
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK.,Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Antoine Leuzy
- Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - Stuart Snowden
- Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Marc Suárez-Calvet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Catalonia, Spain.,Department of Neurology, Hospital del Mar, Barcelona, Catalonia, Spain
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Renaud La Joie
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Kina Höglund
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Disease Research, Neurogeriatrics Division, Karolinska Institutet, Novum, Huddinge, Stockholm, Sweden
| | | | - Tibor Hortobágyi
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,MTA-DE Cerebrovascular and Neurodegenerative Research Group, Department of Neurology, University of Debrecen, Debrecen, Hungary
| | - Per Svenningsson
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK. .,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK. .,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
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50
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Heller C, Foiani MS, Moore K, Convery R, Bocchetta M, Neason M, Cash DM, Thomas D, Greaves CV, Woollacott IO, Shafei R, Van Swieten JC, Moreno F, Sanchez-Valle R, Borroni B, Laforce R, Masellis M, Tartaglia MC, Graff C, Galimberti D, Rowe JB, Finger E, Synofzik M, Vandenberghe R, de Mendonca A, Tagliavini F, Santana I, Ducharme S, Butler CR, Gerhard A, Levin J, Danek A, Frisoni G, Sorbi S, Otto M, Heslegrave AJ, Zetterberg H, Rohrer JD. Plasma glial fibrillary acidic protein is raised in progranulin-associated frontotemporal dementia. J Neurol Neurosurg Psychiatry 2020; 91:263-270. [PMID: 31937580 DOI: 10.1136/jnnp-2019-321954] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/20/2019] [Accepted: 12/02/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND There are few validated fluid biomarkers in frontotemporal dementia (FTD). Glial fibrillary acidic protein (GFAP) is a measure of astrogliosis, a known pathological process of FTD, but has yet to be explored as potential biomarker. METHODS Plasma GFAP and neurofilament light chain (NfL) concentration were measured in 469 individuals enrolled in the Genetic FTD Initiative: 114 C9orf72 expansion carriers (74 presymptomatic, 40 symptomatic), 119 GRN mutation carriers (88 presymptomatic, 31 symptomatic), 53 MAPT mutation carriers (34 presymptomatic, 19 symptomatic) and 183 non-carrier controls. Biomarker measures were compared between groups using linear regression models adjusted for age and sex with family membership included as random effect. Participants underwent standardised clinical assessments including the Mini-Mental State Examination (MMSE), Frontotemporal Lobar Degeneration-Clinical Dementia Rating scale and MRI. Spearman's correlation coefficient was used to investigate the relationship of plasma GFAP to clinical and imaging measures. RESULTS Plasma GFAP concentration was significantly increased in symptomatic GRN mutation carriers (adjusted mean difference from controls 192.3 pg/mL, 95% CI 126.5 to 445.6), but not in those with C9orf72 expansions (9.0, -61.3 to 54.6), MAPT mutations (12.7, -33.3 to 90.4) or the presymptomatic groups. GFAP concentration was significantly positively correlated with age in both controls and the majority of the disease groups, as well as with NfL concentration. In the presymptomatic period, higher GFAP concentrations were correlated with a lower cognitive score (MMSE) and lower brain volume, while in the symptomatic period, higher concentrations were associated with faster rates of atrophy in the temporal lobe. CONCLUSIONS Raised GFAP concentrations appear to be unique to GRN-related FTD, with levels potentially increasing just prior to symptom onset, suggesting that GFAP may be an important marker of proximity to onset, and helpful for forthcoming therapeutic prevention trials.
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Affiliation(s)
- Carolin Heller
- UK Dementia Research Institute, Department of Neurodegenerative Disease, University College London, London, UK
| | - Martha S Foiani
- UK Dementia Research Institute, Department of Neurodegenerative Disease, University College London, London, UK
| | - Katrina Moore
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Rhian Convery
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Martina Bocchetta
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Mollie Neason
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.,Centre for Medical Image Computing, University College London, London, UK
| | - David Thomas
- Neuradiological Academic Unit, UCL Queen Square Institute of Neurology, London, UK
| | - Caroline V Greaves
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Ione Oc Woollacott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Rachelle Shafei
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - John C Van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, País Vasco, Spain
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Barcelona, Spain
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire du CHU de Québec, Département des Sciences Neurologiques, Université Laval, Québec, Québec, Canada
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - Caroline Graff
- Department of Geriatric Medicine, Karolinska University Hospital-Huddinge, Stockholm, Sweden
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Centro Dino Ferrari, Milan, Italy.,Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | | | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Neurologico Carlo Besta, Milan, Italy
| | - Isabel Santana
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Simon Ducharme
- Department of Neurology and Neurosurgery, McGill University, Montreal, Québec, Canada
| | | | - Alex Gerhard
- Faculty of Medical and Human Sciences, Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | | | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research, and Child Health, University of Florence, Florence, Italy
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Amanda J Heslegrave
- UK Dementia Research Institute, Department of Neurodegenerative Disease, University College London, London, UK
| | - Henrik Zetterberg
- UK Dementia Research Institute, Department of Neurodegenerative Disease, University College London, London, UK.,Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
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