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Saraceno C, Pagano L, Laganà V, Geviti A, Bagnoli S, Ingannato A, Mazzeo S, Longobardi A, Fostinelli S, Bellini S, Montesanto A, Binetti G, Maletta R, Nacmias B, Ghidoni R. Mutational Landscape of Alzheimer's Disease and Frontotemporal Dementia: Regional Variances in Northern, Central, and Southern Italy. Int J Mol Sci 2024; 25:7035. [PMID: 39000146 PMCID: PMC11241147 DOI: 10.3390/ijms25137035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) are the two major neurodegenerative diseases with distinct clinical and neuropathological profiles. The aim of this report is to conduct a population-based investigation in well-characterized APP, PSEN1, PSEN2, MAPT, GRN, and C9orf72 mutation carriers/pedigrees from the north, the center, and the south of Italy. We retrospectively analyzed the data of 467 Italian individuals. We identified 21 different GRN mutations, 20 PSEN1, 11 MAPT, 9 PSEN2, and 4 APP. Moreover, we observed geographical variability in mutation frequencies by looking at each cohort of participants, and we observed a significant difference in age at onset among the genetic groups. Our study provides evidence that age at onset is influenced by the genetic group. Further work in identifying both genetic and environmental factors that modify the phenotypes in all groups is needed. Our study reveals Italian regional differences among the most relevant AD/FTD causative genes and emphasizes how the collaborative studies in rare diseases can provide new insights to expand knowledge on genetic/epigenetic modulators of age at onset.
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Affiliation(s)
- Claudia Saraceno
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Lorenzo Pagano
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Valentina Laganà
- Department of Primary Care, Regional Neurogenetic Centre (CRN), ASP Catanzaro, 88046 Lamezia Terme, Italy
| | - Andrea Geviti
- Service of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, 50139 Florence, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, 50139 Florence, Italy
| | - Salvatore Mazzeo
- Vita-Salute San Raffaele University, 20132 Milan, Italy
- IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy
| | - Antonio Longobardi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Silvia Fostinelli
- MAC-Memory Clinic and Molecular Markers, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Sonia Bellini
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Alberto Montesanto
- Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy
| | - Giuliano Binetti
- MAC-Memory Clinic and Molecular Markers, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Raffaele Maletta
- Department of Primary Care, Regional Neurogenetic Centre (CRN), ASP Catanzaro, 88046 Lamezia Terme, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, 50139 Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Florence, Italy
| | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
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Moguilner S, Baez S, Hernandez H, Migeot J, Legaz A, Gonzalez-Gomez R, Farina FR, Prado P, Cuadros J, Tagliazucchi E, Altschuler F, Maito MA, Godoy ME, Cruzat J, Valdes-Sosa PA, Lopera F, Ochoa-Gómez JF, Hernandez AG, Bonilla-Santos J, Gonzalez-Montealegre RA, Anghinah R, d’Almeida Manfrinati LE, Fittipaldi S, Medel V, Olivares D, Yener GG, Escudero J, Babiloni C, Whelan R, Güntekin B, Yırıkoğulları H, Santamaria-Garcia H, Lucas AF, Huepe D, Di Caterina G, Soto-Añari M, Birba A, Sainz-Ballesteros A, Coronel-Oliveros C, Yigezu A, Herrera E, Abasolo D, Kilborn K, Rubido N, Clark RA, Herzog R, Yerlikaya D, Hu K, Parra MA, Reyes P, García AM, Matallana DL, Avila-Funes JA, Slachevsky A, Behrens MI, Custodio N, Cardona JF, Barttfeld P, Brusco IL, Bruno MA, Sosa Ortiz AL, Pina-Escudero SD, Takada LT, Resende E, Possin KL, de Oliveira MO, Lopez-Valdes A, Lawlor B, Robertson IH, Kosik KS, Duran-Aniotz C, Valcour V, Yokoyama JS, Miller BL, Ibanez A. Brain clocks capture diversity and disparity in aging and dementia. RESEARCH SQUARE 2024:rs.3.rs-4150225. [PMID: 38978575 PMCID: PMC11230497 DOI: 10.21203/rs.3.rs-4150225/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of multimodal diversity (geographical, socioeconomic, sociodemographic, sex, neurodegeneration) on the brain age gap (BAG) is unknown. Here, we analyzed datasets from 5,306 participants across 15 countries (7 Latin American countries -LAC, 8 non-LAC). Based on higher-order interactions in brain signals, we developed a BAG deep learning architecture for functional magnetic resonance imaging (fMRI=2,953) and electroencephalography (EEG=2,353). The datasets comprised healthy controls, and individuals with mild cognitive impairment, Alzheimer's disease, and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (fMRI: MDE=5.60, RMSE=11.91; EEG: MDE=5.34, RMSE=9.82) compared to non-LAC, associated with frontoposterior networks. Structural socioeconomic inequality and other disparity-related factors (pollution, health disparities) were influential predictors of increased brain age gaps, especially in LAC (R2=0.37, F2=0.59, RMSE=6.9). A gradient of increasing BAG from controls to mild cognitive impairment to Alzheimer's disease was found. In LAC, we observed larger BAGs in females in control and Alzheimer's disease groups compared to respective males. Results were not explained by variations in signal quality, demographics, or acquisition methods. Findings provide a quantitative framework capturing the multimodal diversity of accelerated brain aging.
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Affiliation(s)
- Sebastian Moguilner
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sandra Baez
- Universidad de los Andes, Bogota, Colombia
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
| | - Hernan Hernandez
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Joaquín Migeot
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Agustina Legaz
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Raul Gonzalez-Gomez
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Francesca R. Farina
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- The University of California Santa Barbara (UCSB), California, USA
| | - Pavel Prado
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago de Chile, Chile
| | - Jhosmary Cuadros
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Grupo de Bioingeniería, Decanato de Investigación, Universidad Nacional Experimental del Táchira, San Cristóbal 5001, Venezuela
- Pontificia Universidad Javeriana (PhD Program in Neuroscience) Bogotá, San Ignacio, Colombia
| | - Enzo Tagliazucchi
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- University of Buenos Aires, Argentina
| | - Florencia Altschuler
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Marcelo Adrián Maito
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - María E. Godoy
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Josephine Cruzat
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Pedro A. Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Sciences
- Technology of China, Chengdu, China; Cuban Neuroscience Center, La Habana, Cuba
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia (GNA) University of Antioquia, Medellín, Colombia
| | | | - Alfredis Gonzalez Hernandez
- Department of Psychology, Master program of Clinical Neuropsychology, Universidad Surcolombiana Neiva, Neiva - Huila, Colombia
| | | | | | - Renato Anghinah
- Reference Center of Behavioural Disturbances and Dementia, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
- Traumatic Brain Injury Cognitive Rehabilitation Out-Patient Center, University of Sao Paulo, Sao Paulo, Brazil
| | - Luís E. d’Almeida Manfrinati
- Reference Center of Behavioural Disturbances and Dementia, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
- Traumatic Brain Injury Cognitive Rehabilitation Out-Patient Center, University of Sao Paulo, Sao Paulo, Brazil
| | - Sol Fittipaldi
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Universidad de los Andes, Bogota, Colombia
| | - Vicente Medel
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Daniela Olivares
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology program-Institute of Biomedical Sciences (ICBM), Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
- Centro de Neuropsicología Clínica (CNC), Santiago, Chile
| | - Görsev G. Yener
- Faculty of Medicine, Izmir University of Economics, 35330, Izmir, Turkey
- Brain Dynamics Multidisciplinary Research Center, Dokuz Eylul University, Izmir, Turkey
- Izmir Biomedicine and Genome Center, Izmir, Turkey
| | - Javier Escudero
- School of Engineering, Institute for Imaging, Data and Communications, University of Edinburgh, Scotland, UK
| | - Claudio Babiloni
- Department of Physiology and Pharmacology “V. Erspamer”, Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele Cassino, Cassino, (FR), Italy
| | - Robert Whelan
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- School of Psychology, Trinity College Dublin, Dublin 2, Ireland
| | - Bahar Güntekin
- Department of Neurosciences, Health Sciences Institute, Istanbul Medipol University, İstanbul, Turkey
- Health Sciences and Technology Research Institute (SABITA), Istanbul Medipol University, Istanbul, Turkey
- Department of Biophysics, School of Medicine, Istanbul Medipol University
| | - Harun Yırıkoğulları
- Department of Neurosciences, Health Sciences Institute, Istanbul Medipol University, İstanbul, Turkey
- Health Sciences and Technology Research Institute (SABITA), Istanbul Medipol University, Istanbul, Turkey
| | - Hernando Santamaria-Garcia
- Pontificia Universidad Javeriana (PhD Program in Neuroscience) Bogotá, San Ignacio, Colombia
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio Bogotá, San Ignacio, Colombia
| | - Alberto Fernández Lucas
- Departamento de Medicina Legal, Psiquiatría y Patología, Facultad de Medicina, Universidad Complutense de Madrid
| | - David Huepe
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez
| | - Gaetano Di Caterina
- Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK
| | | | - Agustina Birba
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | | | - Carlos Coronel-Oliveros
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Centro Interdisciplinario de Neurociencia de Valparaíso (CINV), Universidad de Valparaíso, Chile
| | - Amanuel Yigezu
- Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Eduar Herrera
- Departamento de Estudios Psicológicos, Universidad ICESI, Cali, Colombia
| | - Daniel Abasolo
- Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK
| | - Kerry Kilborn
- School of Psychology, University of Glasgow, Glasgow, Scotland
| | - Nicolás Rubido
- Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, AB24 3UE, UK
| | - Ruaridh A. Clark
- Centre for Signal and Image Processing, Department of Electronic and Electrical Engineering, University of Strathclyde, UK
| | - Ruben Herzog
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Deniz Yerlikaya
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Kun Hu
- Harvard Medical School, Boston, USA
| | - Mario A. Parra
- Department of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom; Researcher associate of BrainLat, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Pablo Reyes
- Pontificia Universidad Javeriana (PhD Program in Neuroscience) Bogotá, San Ignacio, Colombia
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio Bogotá, San Ignacio, Colombia
| | - Adolfo M. García
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile 2
| | - Diana L. Matallana
- Pontificia Universidad Javeriana (PhD Program in Neuroscience) Bogotá, San Ignacio, Colombia
| | - José Alberto Avila-Funes
- Department of Geriatrics. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán. Mexico City, Mexico
| | - Andrea Slachevsky
- Memory and Neuropsychiatric Center (CMYN), Neurology Department, Hospital del Salvador & Faculty of Medicine, University of Chile, Santiago, Chile
- Geroscience Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Program – Institute of Biomedical Sciences (ICBM), Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
| | - María I. Behrens
- Neurology and Psychiatry Department, Clínica Alemana-Universidad Desarrollo, Santiago, Chile
- Centro de Investigación Clínica Avanzada (CICA), Facultad de Medicina-Hospital Clínico, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Independencia, Santiago, 8380430, Chile
- Departamento de Neurociencia, Facultad de Medicina, Universidad de Chile, Independencia, Santiago, 8380453, Chile
| | - Nilton Custodio
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lima, Perú
| | - Juan F. Cardona
- Facultad de Psicología, Universidad del Valle, Santiago de Cali, Colombia
| | - Pablo Barttfeld
- Cognitive Science Group. Instituto de Investigaciones Psicológicas (IIPsi), CONICET UNC, Facultad de Psicología, Universidad Nacional de Córdoba, Boulevard de la Reforma esquina Enfermera Gordillo, CP 5000. Córdoba, Argentina
| | - Ignacio L. Brusco
- Centro de Neuropsiquiatría y Neurología de la Conducta (CENECON), Facultad de Medicina, Universidad de Buenos Aires (UBA), C.A.B.A., Buenos Aires, Argentina
| | - Martín A. Bruno
- Instituto de Ciencias Biomédicas (ICBM) Facultad de Ciencias Médicas, Universidad Catoóica de Cuyo, San Juan, Argentina
| | - Ana L. Sosa Ortiz
- Instituto Nacional de Neurologia y Neurocirugia MVS, Universidad Nacional Autonoma de Mexico, Mexico, Mexico
| | - Stefanie D. Pina-Escudero
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Leonel T. Takada
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
| | - Elisa Resende
- Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Katherine L. Possin
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Maira Okada de Oliveira
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
| | - Alejandro Lopez-Valdes
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Brain Lawlor
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Ian H. Robertson
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Kenneth S. Kosik
- The University of Chicago, Division of the Biological Sciences, 5841 S Maryland Avenue Chicago, IL 60637, USA
| | - Claudia Duran-Aniotz
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Victor Valcour
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Jennifer S. Yokoyama
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Bruce L. Miller
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Agustin Ibanez
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute (GBHI), University of California, San Francisco, US; and Trinity College Dublin, Dublin, Ireland
- Trinity College Dublin, The University of Dublin, Dublin, Ireland
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Ohm DT, Xie SX, Capp N, Arezoumandan S, Cousins KAQ, Rascovsky K, Wolk DA, Van Deerlin VM, Lee EB, McMillan CT, Irwin DJ. Cytoarchitectonic gradients of laminar degeneration in behavioral variant frontotemporal dementia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.05.588259. [PMID: 38644997 PMCID: PMC11030243 DOI: 10.1101/2024.04.05.588259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is a clinical syndrome primarily caused by either tau (bvFTD-tau) or TDP-43 (bvFTD-TDP) proteinopathies. We previously found lower cortical layers and dorsolateral regions accumulate greater tau than TDP-43 pathology; however, patterns of laminar neurodegeneration across diverse cytoarchitecture in bvFTD is understudied. We hypothesized that bvFTD-tau and bvFTD-TDP have distinct laminar distributions of pyramidal neurodegeneration along cortical gradients, a topologic order of cytoarchitectonic subregions based on increasing pyramidal density and laminar differentiation. Here, we tested this hypothesis in a frontal cortical gradient consisting of five cytoarchitectonic types (i.e., periallocortex, agranular mesocortex, dysgranular mesocortex, eulaminate-I isocortex, eulaminate-II isocortex) spanning anterior cingulate, paracingulate, orbitofrontal, and mid-frontal gyri in bvFTD-tau (n=27), bvFTD-TDP (n=47), and healthy controls (HC; n=32). We immunostained all tissue for total neurons (NeuN; neuronal-nuclear protein) and pyramidal neurons (SMI32; non-phosphorylated neurofilament) and digitally quantified NeuN-immunoreactivity (ir) and SMI32-ir in supragranular II-III, infragranular V-VI, and all I-VI layers in each cytoarchitectonic type. We used linear mixed-effects models adjusted for demographic and biologic variables to compare SMI32-ir between groups and examine relationships with the cortical gradient, long-range pathways, and clinical symptoms. We found regional and laminar distributions of SMI32-ir expected for HC, validating our measures within the cortical gradient framework. While SMI32-ir loss was not related to the cortical gradient in bvFTD-TDP, SMI32-ir progressively decreased along the cortical gradient of bvFTD-tau and included greater SMI32-ir loss in supragranular eulaminate-II isocortex in bvFTD-tau vs bvFTD-TDP ( p =0.039). In a structural model for long-range laminar connectivity between infragranular mesocortex and supragranular isocortex, we found a larger laminar ratio of mesocortex-to-isocortex SMI32-ir in bvFTD-tau vs bvFTD-TDP ( p =0.019), suggesting select long-projecting pathways may contribute to isocortical-predominant degeneration in bvFTD-tau. In cytoarchitectonic types with the highest NeuN-ir, we found lower SMI32-ir in bvFTD-tau vs bvFTD-TDP ( p =0.047), suggesting pyramidal neurodegeneration may occur earlier in bvFTD-tau. Lastly, we found that reduced SMI32-ir related to behavioral severity and frontal-mediated letter fluency, not temporal-mediated confrontation naming, demonstrating the clinical relevance and specificity of frontal pyramidal neurodegeneration to bvFTD-related symptoms. Our data suggest loss of neurofilament-rich pyramidal neurons is a clinically relevant feature of bvFTD that selectively worsens along a frontal cortical gradient in bvFTD-tau, not bvFTD-TDP. Therefore, tau-mediated degeneration may preferentially involve pyramidal-rich layers that connect more distant cytoarchitectonic types. Moreover, the hierarchical arrangement of cytoarchitecture along cortical gradients may be an important neuroanatomical framework for identifying which types of cells and pathways are differentially involved between proteinopathies.
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4
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Dratch L, Azage M, Baldwin A, Johnson K, Paul RA, Bardakjian TM, Michon SC, Amado DA, Baer M, Deik AF, Elman LB, Gonzalez-Alegre P, Guo MH, Hamedani AG, Irwin DJ, Lasker A, Orthmann-Murphy J, Quinn C, Tropea TF, Scherer SS, Ellis CA. Genetic testing in adults with neurologic disorders: indications, approach, and clinical impacts. J Neurol 2024; 271:733-747. [PMID: 37891417 PMCID: PMC11095966 DOI: 10.1007/s00415-023-12058-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
The role of genetic testing in neurologic clinical practice has increased dramatically in recent years, driven by research on genetic causes of neurologic disease and increased availability of genetic sequencing technology. Genetic testing is now indicated for adults with a wide range of common neurologic conditions. The potential clinical impacts of a genetic diagnosis are also rapidly expanding, with a growing list of gene-specific treatments and clinical trials, in addition to important implications for prognosis, surveillance, family planning, and diagnostic closure. The goals of this review are to provide practical guidance for clinicians about the role of genetics in their practice and to provide the neuroscience research community with a broad survey of current progress in this field. We aim to answer three questions for the neurologist in practice: Which of my patients need genetic testing? What testing should I order? And how will genetic testing help my patient? We focus on common neurologic disorders and presentations to the neurology clinic. For each condition, we review the most current guidelines and evidence regarding indications for genetic testing, expected diagnostic yield, and recommended testing approach. We also focus on clinical impacts of genetic diagnoses, highlighting a number of gene-specific therapies recently approved for clinical use, and a rapidly expanding landscape of gene-specific clinical trials, many using novel nucleotide-based therapeutic modalities like antisense oligonucleotides and gene transfer. We anticipate that more widespread use of genetic testing will help advance therapeutic development and improve the care, and outcomes, of patients with neurologic conditions.
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Affiliation(s)
- Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Meron Azage
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Aaron Baldwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Kelsey Johnson
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Rachel A Paul
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Tanya M Bardakjian
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
- Sarepta Therapeutics Inc, Cambridge, MA, 02142, USA
| | - Sara-Claude Michon
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Defne A Amado
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Michael Baer
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Andres F Deik
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Lauren B Elman
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
- Spark Therapeutics Inc, Philadelphia, PA, 19104, USA
| | - Michael H Guo
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Ali G Hamedani
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Aaron Lasker
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Jennifer Orthmann-Murphy
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Colin Quinn
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Thomas F Tropea
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Steven S Scherer
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Colin A Ellis
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA.
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Nevler N, Cho S, Cousins KAQ, Ash S, Olm CA, Shellikeri S, Agmon G, Gonzalez-Recober C, Xie SX, Barker MS, Manoochehri M, Mcmillan CT, Irwin DJ, Massimo L, Dratch L, Cheran G, Huey ED, Cosentino SA, Van Deerlin VM, Liberman MY, Grossman M. Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration. Neurology 2024; 102:e207926. [PMID: 38165329 DOI: 10.1212/wnl.0000000000207926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Clinical trials developing therapeutics for frontotemporal degeneration (FTD) focus on pathogenic variant carriers at preclinical stages. Objective, quantitative clinical assessment tools are needed to track stability and delayed disease onset. Natural speech can serve as an accessible, cost-effective assessment tool. We aimed to identify early changes in the natural speech of FTD pathogenic variant carriers before they become symptomatic. METHODS In this cohort study, speech samples of picture descriptions were collected longitudinally from healthy participants in observational studies at the University of Pennsylvania and Columbia University between 2007 and 2020. Participants were asymptomatic but at risk for familial FTD. Status as "carrier" or "noncarrier" was based on screening for known pathogenic variants in the participant's family. Thirty previously validated digital speech measures derived from automatic speech processing pipelines were selected a priori based on previous studies in patients with FTD and compared between asymptomatic carriers and noncarriers cross-sectionally and longitudinally. RESULTS A total of 105 participants, all asymptomatic, included 41 carriers: 12 men [30%], mean age 43 ± 13 years; education, 16 ± 2 years; MMSE 29 ± 1; and 64 noncarriers: 27 men [42%]; mean age, 48 ± 14 years; education, 15 ± 3 years; MMSE 29 ± 1. We identified 4 speech measures that differed between carriers and noncarriers at baseline: mean speech segment duration (mean difference -0.28 seconds, 95% CI -0.55 to -0.02, p = 0.04); word frequency (mean difference 0.07, 95% CI 0.008-0.14, p = 0.03); word ambiguity (mean difference 0.02, 95% CI 0.0008-0.05, p = 0.04); and interjection count per 100 words (mean difference 0.33, 95% CI 0.07-0.59, p = 0.01). Three speech measures deteriorated over time in carriers only: particle count per 100 words per month (β = -0.02, 95% CI -0.03 to -0.004, p = 0.009); total narrative production time in seconds per month (β = -0.24, 95% CI -0.37 to -0.12, p < 0.001); and total number of words per month (β = -0.48, 95% CI -0.78 to -0.19, p = 0.002) including in 3 carriers who later converted to symptomatic disease. DISCUSSION Using automatic processing pipelines, we identified early changes in the natural speech of FTD pathogenic variant carriers in the presymptomatic stage. These findings highlight the potential utility of natural speech as a digital clinical outcome assessment tool in FTD, where objective and quantifiable measures for abnormal behavior and language are lacking.
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Affiliation(s)
- Naomi Nevler
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sunghye Cho
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Katheryn A Q Cousins
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon Ash
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Christopher A Olm
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sanjana Shellikeri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Galit Agmon
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Carmen Gonzalez-Recober
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon X Xie
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Megan S Barker
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Masood Manoochehri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Corey T Mcmillan
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - David J Irwin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Lauren Massimo
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Laynie Dratch
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Gayathri Cheran
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Edward D Huey
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Stephanie A Cosentino
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Vivianna M Van Deerlin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Mark Y Liberman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Murray Grossman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
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Pirici D, Mogoanta L, Ion DA, Kumar-Singh S. Fractal Analysis in Neurodegenerative Diseases. ADVANCES IN NEUROBIOLOGY 2024; 36:365-384. [PMID: 38468042 DOI: 10.1007/978-3-031-47606-8_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Neurodegenerative diseases are defined by progressive nervous system dysfunction and death of neurons. The abnormal conformation and assembly of proteins is suggested to be the most probable cause for many of these neurodegenerative disorders, leading to the accumulation of abnormally aggregated proteins, for example, amyloid β (Aβ) (Alzheimer's disease and vascular dementia), tau protein (Alzheimer's disease and frontotemporal lobar degeneration), α-synuclein (Parkinson's disease and Lewy body dementia), polyglutamine expansion diseases (Huntington disease), or prion proteins (Creutzfeldt-Jakob disease). An aberrant gain-of-function mechanism toward excessive intraparenchymal accumulation thus represents a common pathogenic denominator in all these proteinopathies. Moreover, depending upon the predominant brain area involvement, these different neurodegenerative diseases lead to either movement disorders or dementia syndromes, although the underlying mechanism(s) can sometimes be very similar, and on other occasions, clinically similar syndromes can have quite distinct pathologies. Non-Euclidean image analysis approaches such as fractal dimension (FD) analysis have been applied extensively in quantifying highly variable morphopathological patterns, as well as many other connected biological processes; however, their application to understand and link abnormal proteinaceous depositions to other clinical and pathological features composing these syndromes is yet to be clarified. Thus, this short review aims to present the most important applications of FD in investigating the clinical-pathological spectrum of neurodegenerative diseases.
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Affiliation(s)
- Daniel Pirici
- Department of Histology, University of Medicine and Pharmacy of Craiova, Craiova, Romania
| | - Laurentiu Mogoanta
- Department of Histology, University of Medicine and Pharmacy of Craiova, Craiova, Romania
| | - Daniela Adriana Ion
- Department of Physiopathology, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Samir Kumar-Singh
- Molecular Pathology Group, Faculty of Medicine and Health Sciences, Cell Biology & Histology and Translational Neuroscience Department, University of Antwerp, Antwerpen, Belgium
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de Boer SC, Riedl L, Fenoglio C, Rue I, Landin-Romero R, Matis S, Chatterton Z, Galimberti D, Halliday G, Diehl-Schmid J, Piguet O, Pijnenburg YA, Ducharme S. Rationale and Design of the "DIagnostic and Prognostic Precision Algorithm for behavioral variant Frontotemporal Dementia" (DIPPA-FTD) Study: A Study Aiming to Distinguish Early Stage Sporadic FTD from Late-Onset Primary Psychiatric Disorders. J Alzheimers Dis 2024; 97:963-973. [PMID: 38143357 PMCID: PMC10836537 DOI: 10.3233/jad-230829] [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] [Accepted: 11/06/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND The behavioral variant of frontotemporal dementia (bvFTD) is very heterogeneous in pathology, genetics, and disease course. Unlike Alzheimer's disease, reliable biomarkers are lacking and sporadic bvFTD is often misdiagnosed as a primary psychiatric disorder (PPD) due to overlapping clinical features. Current efforts to characterize and improve diagnostics are centered on the minority of genetic cases. OBJECTIVE The multi-center study DIPPA-FTD aims to develop diagnostic and prognostic algorithms to help distinguish sporadic bvFTD from late-onset PPD in its earliest stages. METHODS The prospective DIPPA-FTD study recruits participants with late-life behavioral changes, suspect for bvFTD or late-onset PPD diagnosis with a negative family history for FTD and/or amyotrophic lateral sclerosis. Subjects are invited to participate after diagnostic screening at participating memory clinics or recruited by referrals from psychiatric departments. At baseline visit, participants undergo neurological and psychiatric examination, questionnaires, neuropsychological tests, and brain imaging. Blood is obtained to investigate biomarkers. Patients are informed about brain donation programs. Follow-up takes place 10-14 months after baseline visit where all examinations are repeated. Results from the DIPPA-FTD study will be integrated in a data-driven approach to develop diagnostic and prognostic models. CONCLUSIONS DIPPA-FTD will make an important contribution to early sporadic bvFTD identification. By recruiting subjects with ambiguous or prodromal diagnoses, our research strategy will allow the characterization of early disease stages that are not covered in current sporadic FTD research. Results will hopefully increase the ability to diagnose sporadic bvFTD in the early stage and predict progression rate, which is pivotal for patient stratification and trial design.
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Affiliation(s)
- Sterre C.M. de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Lina Riedl
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Chiara Fenoglio
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Ishana Rue
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Ramon Landin-Romero
- Faculty of Medicine and Health, School of Health Sciences & Brain and Mind Sciences, The University of Sydney, Sydney, Australia
| | - Sophie Matis
- Faculty of Medicine and Health, School of Health Sciences & Brain and Mind Sciences, The University of Sydney, Sydney, Australia
| | - Zac Chatterton
- Brain and Mind Centre and Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Daniela Galimberti
- University of Milan, Milan, Italy
- Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Glenda Halliday
- School of Medical Sciences & Brain and Mind Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
- kbo-Inn-Salzach-Klinikum, Clinical Center for Psychiatry, Psychotherapy, Psychosomatic Medicine, Geriatrics and Neurology, Wasserburg/Inn, Germany
| | - Olivier Piguet
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
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8
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Harper L, de Boer S, Lindberg O, Lätt J, Cullen N, Clark L, Irwin D, Massimo L, Grossman M, Hansson O, Pijnenburg Y, McMillan CT, Santillo AF. Anterior cingulate sulcation is associated with onset and survival in frontotemporal dementia. Brain Commun 2023; 5:fcad264. [PMID: 37869576 PMCID: PMC10586312 DOI: 10.1093/braincomms/fcad264] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/05/2023] [Accepted: 10/07/2023] [Indexed: 10/24/2023] Open
Abstract
Frontotemporal dementia is the second most common form of early onset dementia (<65 years). Despite this, there are few known disease-modifying factors. The anterior cingulate is a focal point of pathology in behavioural variant frontotemporal dementia. Sulcation of the anterior cingulate is denoted by the presence of a paracingulate sulcus, a tertiary sulcus developing, where present during the third gestational trimester and remaining stable throughout life. This study aims to examine the impact of right paracingulate sulcal presence on the expression and prognosis of behavioural variant frontotemporal dementia. This retrospective analysis drew its population from two clinical samples recruited from memory clinics at university hospitals in the USA and The Netherlands. Individuals with sporadic behavioural variant frontotemporal dementia were enrolled between 2000 and 2022 and followed up for an average of 7.71 years. T1-MRI data were evaluated for hemispheric paracingulate sulcal presence in accordance with an established protocol by two blinded raters. Outcome measures included age at onset, survival, cortical thickness and Frontotemporal Lobar Degeneration-modified Clinical Dementia Rating determined clinical disease progression. The study population consisted of 186 individuals with sporadic behavioural variant frontotemporal dementia (113 males and 73 females), mean age 63.28 years (SD 8.32). The mean age at onset was 2.44 years later in individuals possessing a right paracingulate sulcus [60.2 years (8.54)] versus individuals who did not [57.76 (8.05)], 95% confidence interval > 0.41, P = 0.02. Education was not associated with age at onset (β = -0.05, P = 0.75). The presence of a right paracingulate sulcus was associated with an 83% increased risk of death per year after age at onset (hazard ratio 1.83, confidence interval [1.09-3.07], P < 0.02), whilst the mean age at death was similar for individuals with a present and absent right paracingulate sulcus (P = 0.7). Right paracingulate sulcal presence was not associated with baseline cortical thickness. Right paracingulate sulcal presence is associated with disease expression and survival in sporadic behavioural variant frontotemporal dementia. Findings provide evidence of neurodevelopmental brain reserve in behavioural variant frontotemporal dementia that may be important in the design of trials for future therapeutic approaches.
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Affiliation(s)
- Luke Harper
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
| | - Sterre de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam 1105 BA, The Netherlands
| | - Olof Lindberg
- Division of Clinical Geriatrics, Karolinska Institute, Stockholm 17165, Sweden
| | - Jimmy Lätt
- Centre for Medical Imaging and Physiology, Skane University Hospital, Lund 22242, Sweden
| | - Nicholas Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
| | - Lyles Clark
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David Irwin
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
- Memory Clinic, Skåne University Hospital, Malmö 22100, Sweden
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam 1105 BA, The Netherlands
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
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9
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Grossman M, Seeley WW, Boxer AL, Hillis AE, Knopman DS, Ljubenov PA, Miller B, Piguet O, Rademakers R, Whitwell JL, Zetterberg H, van Swieten JC. Frontotemporal lobar degeneration. Nat Rev Dis Primers 2023; 9:40. [PMID: 37563165 DOI: 10.1038/s41572-023-00447-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 08/12/2023]
Abstract
Frontotemporal lobar degeneration (FTLD) is one of the most common causes of early-onset dementia and presents with early social-emotional-behavioural and/or language changes that can be accompanied by a pyramidal or extrapyramidal motor disorder. About 20-25% of individuals with FTLD are estimated to carry a mutation associated with a specific FTLD pathology. The discovery of these mutations has led to important advances in potentially disease-modifying treatments that aim to slow progression or delay disease onset and has improved understanding of brain functioning. In both mutation carriers and those with sporadic disease, the most common underlying diagnoses are linked to neuronal and glial inclusions containing tau (FTLD-tau) or TDP-43 (FTLD-TDP), although 5-10% of patients may have inclusions containing proteins from the FUS-Ewing sarcoma-TAF15 family (FTLD-FET). Biomarkers definitively identifying specific pathological entities in sporadic disease have been elusive, which has impeded development of disease-modifying treatments. Nevertheless, disease-monitoring biofluid and imaging biomarkers are becoming increasingly sophisticated and are likely to serve as useful measures of treatment response during trials of disease-modifying treatments. Symptomatic trials using novel approaches such as transcranial direct current stimulation are also beginning to show promise.
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Affiliation(s)
- Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - William W Seeley
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
| | - Adam L Boxer
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Peter A Ljubenov
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce Miller
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Olivier Piguet
- School of Psychology and Brain and Mind Center, University of Sydney, Sydney, New South Wales, Australia
| | - Rosa Rademakers
- VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The University of Gothenburg, Mölndal, Sweden
- 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, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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10
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Santiago JA, Potashkin JA. Physical activity and lifestyle modifications in the treatment of neurodegenerative diseases. Front Aging Neurosci 2023; 15:1185671. [PMID: 37304072 PMCID: PMC10250655 DOI: 10.3389/fnagi.2023.1185671] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/03/2023] [Indexed: 06/13/2023] Open
Abstract
Neurodegenerative diseases have reached alarming numbers in the past decade. Unfortunately, clinical trials testing potential therapeutics have proven futile. In the absence of disease-modifying therapies, physical activity has emerged as the single most accessible lifestyle modification with the potential to fight off cognitive decline and neurodegeneration. In this review, we discuss findings from epidemiological, clinical, and molecular studies investigating the potential of lifestyle modifications in promoting brain health. We propose an evidence-based multidomain approach that includes physical activity, diet, cognitive training, and sleep hygiene to treat and prevent neurodegenerative diseases.
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Affiliation(s)
| | - Judith A. Potashkin
- Center for Neurodegenerative Diseases and Therapeutics, Cellular and Molecular Pharmacology Department, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
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11
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Kim BJ, Grossman M, Aleman TS, Song D, Cousins KAQ, McMillan CT, Saludades A, Yu Y, Lee EB, Wolk D, Van Deerlin VM, Shaw LM, Ying GS, Irwin DJ. Retinal photoreceptor layer thickness has disease specificity and distinguishes predicted FTLD-Tau from biomarker-determined Alzheimer's disease. Neurobiol Aging 2023; 125:74-82. [PMID: 36857870 PMCID: PMC10038934 DOI: 10.1016/j.neurobiolaging.2023.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 02/04/2023]
Abstract
While Alzheimer's disease (AD) is associated with inner retina thinning (retinal nerve fiber layer and ganglion cell layer), we have observed photoreceptor outer nuclear layer (ONL) thinning in patients with frontotemporal lobar degeneration tauopathy (FTLD-Tau) compared to normal controls. We hypothesized that ONL thinning may distinguish FTLD-Tau from patients with biomarker evidence of AD neuropathologic change (ADNC) and will correlate with FTLD-Tau disease severity. Predicted FTLD-Tau (pFTLD-Tau; n = 21; 33 eyes) and predicted ADNC (pADNC; n = 24; 46 eyes) patients were consecutively enrolled, underwent optical coherence tomography macula imaging, and disease was categorized (pFTLD-Tau vs. pADNC) with cerebrospinal fluid biomarkers, genetic testing, and autopsy data when available. Adjusting for age, sex, and race, pFTLD-Tau patients had a thinner ONL compared to pADNC, while retinal nerve fiber layer and ganglion cell layer were not significantly different. Reduced ONL thickness correlated with worse performance on Folstein Mini-Mental State Examination and clinical dementia rating plus frontotemporal dementia sum of boxes for pFTLD-Tau but not pADNC. Photoreceptor ONL thickness may serve as an important noninvasive diagnostic marker that distinguishes FTLD-Tau from AD neuropathologic change.
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Affiliation(s)
- Benjamin J Kim
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Murray Grossman
- Department of Neurology, Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tomas S Aleman
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Delu Song
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katheryn A Q Cousins
- Department of Neurology, Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Corey T McMillan
- Department of Neurology, Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Adrienne Saludades
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yinxi Yu
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Translational Neuropathology Research Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Wolk
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gui-Shuang Ying
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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12
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Harper L, de Boer S, Lindberg O, Lätt J, Cullen N, Clark L, Irwin D, Massimo L, Grossman M, Hansson O, Pijnenburg Y, McMillan CT, Santillo AF. Anterior cingulate sulcation is associated with onset and survival in frontotemporal dementia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.30.23287945. [PMID: 37034647 PMCID: PMC10081407 DOI: 10.1101/2023.03.30.23287945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Frontotemporal dementia is the second most common form of early onset dementia (< 65 years). Despite this there are few known disease modifying factors. The anterior cingulate is a focal point of pathology in behavioural variant frontotemporal dementia. Sulcation of the anterior cingulate is denoted by the presence of a paracingulate sulcus, a tertiary sulcus developing, where present during the third gestational trimester and remaining stable throughout life. This study aims to examine the impact of right paracingulate sulcal presence on the expression and prognosis of behavioural variant Frontotemporal Dementia. Methods This retrospective analysis drew it's population from two clinical samples recruited from memory clinics at University Hospitals in The United States of America and The Netherlands. Individuals with sporadic behavioural variant Frontotemporal Dementia were enrolled between 2004 and 2022 and followed up for an average of 7.71 years. T1-MRI data were evaluated for hemispheric paracingulate sulcal presence in accordance with an established protocol by two blinded raters. Outcome measures included age at onset, survival, cortical thickness, and Frontotemporal Lobar Degeneration-modified Clinical Dementia Rating determined clinical disease progression. Results The study population consisted of 186 individuals with sporadic behavioural variant Frontotemporal Dementia, (113 males and 73 females) mean age 63.28 years (SD 8.32). The mean age at onset was 2.44 years later in individuals possessing a right paracingulate sulcus (60.2 years (SD 8.54)) versus individuals who did not (57.76 (8.05)), 95% CI >0.41, P = 0.02. Education was not associated with age at onset (β = -0.05, P =0.75). Presence of a right paracingulate sulcus was associated with a 119% increased risk of death per year after age at onset (HR 2.19, CI [1.21 - 3.96], P <0.01), whilst the mean age at death was similar for individuals with a present and absent right paracingulate sulcus ( P = 0.7). Right paracingulate sulcal presence was not associated with baseline cortical thickness. Conclusion Right paracingulate sulcal presence is associated with disease expression and survival in sporadic behavioural variant Frontotemporal Dementia. Findings provide evidence of neurodevelopmental brain reserve in behavioural variant Frontotemporal Dementia which may be important in the design of trials for future therapeutic approaches.
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13
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You FL, Xia GF, Cai J. Behavioural Variant Frontotemporal Dementia due to CCNF Gene Mutation: A Case Report. Curr Alzheimer Res 2023; 20:371-378. [PMID: 37872794 DOI: 10.2174/1567205020666230811092906] [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: 01/28/2023] [Revised: 06/22/2023] [Accepted: 07/10/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Frontal, temporal lobe dementia (FTD) and amyotrophic lateral sclerosis (ALS) are fatal neurodegenerative diseases. Studies have found that CCNF mutations have been found in patients with familial and sporadic ALS and FTD. Behavioural variant frontotemporal dementia (bvFTD) is a clinical syndrome characterized by progressive deterioration of personality, social behaviour, and cognitive function, which is most closely related to genetic factors. As the early symptoms of bvFTD are highly heterogeneous, the condition is often misdiagnosed as Alzheimer's disease or psychiatric disorders. In this study, a bvFTD patient had a CCNF gene mutation, which led to ubiquitinated protein accumulation and ultimately caused neurodegenerative disease. Genetic detection should be improved urgently for bvFTD patients and family members to provide a clinical reference for early diagnosis of frontotemporal dementia. CASE PRESENTATION In this case, the patient was 65 years old with an insidious onset, early-onset memory loss, a significant decline in the episodic memory, an early AD diagnosis, and oral treatment with donepezil hydrochloride for 3 years with poor efficacy, followed by a change to oral memantine hydrochloride tablets, which controlled the condition for several months. His medication was switched to sodium oligomannate capsules, and his condition was gradually controlled, but no significant improvement was observed. After spontaneous drug withdrawal, the patient's condition progressed rapidly; therefore, he visited our hospital and underwent neuropsychological tests for moderate to severe cognitive impairment. AD cerebrospinal fluid markers showed no significant abnormalities, and cranial MRI revealed frontotemporal lobe atrophy and decreased hippocampal volume. Genetic testing for the presence of the CCNF gene revealed a c.1532C > A (p. T511N) heterozygous variant, which might be a diagnostic criterion for bvFTD. Therefore, the patient's symptoms recurred after transient improvement with the combination of donepezil, oral memantine hydrochloride tablets, and sodium oligomannate, but his overall condition was improved compared to that before, and this treatment regimen was continued to observe changes during the follow-up. CONCLUSION The early clinical manifestations of bvFTD are complex and variable, and the condition is easily misdiagnosed, thus delaying treatment. Therefore, for patients with a high clinical suspicion of FTD, in addition to a detailed understanding of their medical history and family history and improvement of relevant examinations, genetic testing should be performed as early as possible to help confirm the diagnosis. For diseases closely related to genes, genetic testing of other family members should be optimised as much as possible to allow early diagnosis and intervention and guide fertility in the next generation.
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Affiliation(s)
- Feng-Ling You
- Department of Neurology, Guizhou University of Traditional Chinese Medicine, Guiyang, 550002, China
| | - Gao-Fu Xia
- Department of Neurology, Guizhou University of Traditional Chinese Medicine, Guiyang, 550002, China
| | - Jing Cai
- The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, China
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14
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Massimo L, Cousins KAQ. Physical Activity and Rising Neurofilament Light Chain in Genetic Frontotemporal Degeneration-Diagnosis Is Not Destiny. JAMA Neurol 2023; 80:14-16. [PMID: 36374511 DOI: 10.1001/jamaneurol.2022.4190] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Lauren Massimo
- Frontotemporal Degeneration Center, Perelman School of Medicine, Department of Neurology, University of Pennsylvania, Philadelphia.,School of Nursing, University of Pennsylvania, Philadelphia
| | - Katheryn A Q Cousins
- Frontotemporal Degeneration Center, Perelman School of Medicine, Department of Neurology, University of Pennsylvania, Philadelphia
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15
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Chen Z, Chu M, Liu L, Zhang J, Kong Y, Xie K, Cui Y, Ye H, Li J, Wang L, Wu L. Genetic prion diseases presenting as frontotemporal dementia: clinical features and diagnostic challenge. Alzheimers Res Ther 2022; 14:90. [PMID: 35768878 PMCID: PMC9245249 DOI: 10.1186/s13195-022-01033-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 06/22/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
To elucidate the clinical and ancillary features of genetic prion diseases (gPrDs) presenting with frontotemporal dementia (FTD) to aid early identification.
Methods
Global data of gPrDs presenting with FTD caused by prion protein gene mutations were collected from literature review and our records. Fifty-one cases of typical FTD and 136 cases of prion diseases admitted to our institution were included as controls. Clinical and ancillary data of the different groups were compared.
Results
Forty-nine cases of gPrDs presenting with FTD were identified. Compared to FTD or prion diseases, gPrDs presenting with FTD were characterized by earlier onset age (median 45 vs. 61/60 years, P < 0.001, P < 0.001) and higher incidence of positive family history (81.6% vs. 27.5/13.2%, P < 0.001, P < 0.001). Furthermore, GPrDs presenting with FTD exhibited shorter duration (median 5 vs. 8 years) and a higher rate of parkinsonism (63.7% vs. 9.8%, P < 0.001), pyramidal signs (39.1% vs. 7.8%, P = 0.001), mutism (35.9% vs. 0%, P < 0.001), seizures (25.8% vs. 0%, P < 0.001), myoclonus (22.5% vs. 0%, P < 0.001), and hyperintensity on MRI (25.0% vs. 0, P < 0.001) compared to FTD. Compared to prion diseases, gPrDs presenting with FTD had a longer duration of symptoms (median 5 vs. 1.1 years, P < 0.001), higher rates of frontotemporal atrophy (89.7% vs. 3.3%, P < 0.001), lower rates of periodic short-wave complexes on EEG (0% vs. 30.3%, P = 0.001), and hyperintensity on MRI (25.0% vs. 83.0%, P < 0.001). The frequency of codon 129 Val allele in gPrDs presenting with FTD was significantly higher than that reported in the literature for gPrDs in the Caucasian and East Asian populations (33.3% vs. 19.2%/8.0%, P = 0.005, P < 0.001).
Conclusions
GPrDs presenting with FTD are characterized by early-onset, high incidence of positive family history, high frequency of the Val allele at codon 129, overlapping symptoms with prion disease and FTD, and ancillary features closer to FTD. PRNP mutations may be a rare cause in the FTD spectrum, and PRNP genotyping should be considered in patients with these features.
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16
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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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17
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Sawyer RP, Stone HK, Salim H, Lu X, Weirauch MT, Kottyan L. Frontotemporal degeneration genetic risk loci and transcription regulation as a possible mechanistic link to disease risk. Medicine (Baltimore) 2022; 101:e31078. [PMID: 36253972 PMCID: PMC9575772 DOI: 10.1097/md.0000000000031078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The etiology of Frontotemporal Degeneration (FTD) is not well understood. Genetic studies have established common genetic variants (GVs) that are associated with increased FTD risk. We review previous genome wide association studies (GWAS) of FTD and nominate specific transcriptional regulators as potential key players in the etiology of this disease. A list of GVs associated with FTD was compiled from published GWAS. The regulatory element locus intersection (RELI) tool was used to calculate the enrichment of the overlap between disease risk GVs and the genomic coordinates of data from a collection of >10,000 chromatin immunoprecipitation (ChIP-seq) experiments. After linkage disequilibrium expansion of the previously reported tag associated GVs, we identified 914 GV at 47 independent risk loci. Using the RELI algorithm, we identified several transcriptional regulators with enriched binding at FTD risk loci (0.05 < corrected P value <1.18 × 10-27), including Tripartite motif-containing 28 (TRIM28) and Chromodomain-Helicase DNA-binding 1 (CHD1) which have previously observed roles in FTD. FTD is a complex disease, and immune dysregulation has been previously implicated as a potential underlying cause. This assessment of established FTD risk loci and analysis of possible function implicates transcriptional dysregulation, and specifically particular transcriptional regulators with known roles in the immune response as important in the genetic etiology of FTD.
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Affiliation(s)
- Russell P. Sawyer
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA
- *Correspondence: Russell P. Sawyer, Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, 45219, USA (e-mail: )
| | - Hillarey K. Stone
- Division of Nephrology and Hypertension, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Hanan Salim
- Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Xiaoming Lu
- Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Matthew T. Weirauch
- Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leah Kottyan
- Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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18
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Tipton PW, Deutschlaender AB, Savica R, Heckman MG, Brushaber DE, Dickerson BC, Gavrilova RH, Geschwind DH, Ghoshal N, Graff-Radford J, Graff-Radford NR, Grossman M, Hsiung GYR, Huey ED, Irwin DJ, Jones DT, Knopman DS, McGinnis SM, Rademakers R, Ramos EM, Forsberg LK, Heuer HW, Onyike C, Tartaglia C, Domoto-Reilly K, Roberson ED, Mendez MF, Litvan I, Appleby BS, Grant I, Kaufer D, Boxer AL, Rosen HJ, Boeve BF, Wszolek ZK. Differences in Motor Features of C9orf72, MAPT, or GRN Variant Carriers With Familial Frontotemporal Lobar Degeneration. Neurology 2022; 99:e1154-e1167. [PMID: 35790423 PMCID: PMC9536745 DOI: 10.1212/wnl.0000000000200860] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 05/02/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Familial frontotemporal lobar degeneration (f-FTLD) is a phenotypically heterogeneous spectrum of neurodegenerative disorders most often caused by variants within chromosome 9 open reading frame 72 (C9orf72), microtubule-associated protein tau (MAPT), or granulin (GRN). The phenotypic association with each of these genes is incompletely understood. We hypothesized that the frequency of specific clinical features would correspond with different genes. METHODS We screened the Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS)/ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration Consortium for symptomatic carriers of pathogenic variants in C9orf72, MAPT, or GRN. We assessed for clinical differences among these 3 groups based on data recorded as part of a detailed neurologic examination, the Progressive Supranuclear Palsy Rating Scale, Progressive Supranuclear Palsy-Quality of Life Rating Scale, Unified Parkinson's Disease Rating Scale Part III (motor items), and the Amyotrophic Lateral Sclerosis Functional Rating Scale, revised version. Data were analyzed using Kruskal-Wallis and Wilcoxon rank-sum tests and Fisher exact test. RESULTS We identified 184 symptomatic participants who had a single pathogenic variant in C9orf72 (n = 88), MAPT (n = 53), or GRN (n = 43). Motor symptom age at onset was earliest in the MAPT participants followed by C9orf72, whereas the GRN pathogenic variant carriers developed symptoms later. C9orf72 participants more often had fasciculations, muscle atrophy, and weakness, whereas parkinsonism was less frequent. Vertical oculomotor abnormalities were more common in the MAPT cohort, whereas apraxia and focal limb dystonia occurred more often in participants with GRN variants. DISCUSSION We present a large comparative study of motor features in C9orf72, MAPT, and GRN pathogenic variant carriers with symptomatic f-FTLD. Our findings demonstrate characteristic phenotypic differences corresponding with specific gene variants that increase our understanding of the genotype-phenotype relationship in this complex spectrum of neurodegenerative disorders. TRIAL REGISTRATION INFORMATION NCT02365922, NCT02372773, and NCT04363684.
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Affiliation(s)
- Philip Wade Tipton
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill.
| | - Angela B Deutschlaender
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Rodolfo Savica
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Michael G Heckman
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Danielle E Brushaber
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Bradford C Dickerson
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Ralitza H Gavrilova
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Daniel H Geschwind
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Nupur Ghoshal
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Jonathan Graff-Radford
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Neill R Graff-Radford
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Murray Grossman
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Ging-Yuek R Hsiung
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Edward D Huey
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - David John Irwin
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - David T Jones
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - David S Knopman
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Scott M McGinnis
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Rosa Rademakers
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Eliana Marisa Ramos
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Leah K Forsberg
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Hilary W Heuer
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Chiadi Onyike
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Carmela Tartaglia
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Kimiko Domoto-Reilly
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Erik D Roberson
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Mario F Mendez
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Irene Litvan
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Brian S Appleby
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Ian Grant
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Daniel Kaufer
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Adam L Boxer
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Howard J Rosen
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Brad F Boeve
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
| | - Zbigniew K Wszolek
- From the Department of Neurology (P.W.T., A.B.D., N.R.G.-R., Z.K.W.), Mayo Clinic, Jacksonville, FL; Department of Neurology (R.S., D.E.B., R.H.G., J.G.-R., D.T.J., D.S.K., L.K.F., B.F.B.), Mayo Clinic, Rochester, MN; Division of Clinical Trials and Biostatistics (M.G.H.), Mayo Clinic, Jacksonville, FL; Massachusetts General Hospital (B.C.D., S.M.M.), Harvard University, Boston; University of California, Los Angeles (UCLA) (D.H.G., E.M.R., M.F.M.); Washington University (N.G.), St. Louis, MO; University of Pennsylvania (M.G., D.J.I.), Philadelphia; University of British Columbia (G.-Y.R.H.), Vancouver, Canada; Columbia University (E.D.H.), New York; Department of Neuroscience (R.R.), Mayo Clinic, Jacksonville, FL; University of California, San Francisco (UCSF) (H.W.H., A.L.B., H.J.R.); Johns Hopkins University School of Medicine (C.O.), Baltimore, MD; University of Toronto (C.T.), Ontario, Canada; University of Washington (K.D.-R.), Seattle; University of Alabama at Birmingham (E.D.R.); University of California, San Diego (UCSD) (I.L.); Case Western Reserve University (B.S.A.), Cleveland, OH; Northwestern University (I.G.), Evanston, IL; and University of North Carolina (D.K.), Chapel Hill
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19
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Chen M, Ohm DT, Phillips JS, McMillan CT, Capp N, Peterson C, Xie E, Wolk DA, Trojanowski JQ, Lee EB, Gee J, Grossman M, Irwin DJ. Divergent Histopathological Networks of Frontotemporal Degeneration Proteinopathy Subytpes. J Neurosci 2022; 42:3868-3877. [PMID: 35318284 PMCID: PMC9087810 DOI: 10.1523/jneurosci.2061-21.2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/22/2022] [Accepted: 03/01/2022] [Indexed: 11/21/2022] Open
Abstract
Network analyses inform complex systems such as human brain connectivity, but this approach is seldom applied to gold-standard histopathology. Here, we use two complimentary computational approaches to model microscopic progression of the main subtypes of tauopathy versus TDP-43 proteinopathy in the human brain. Digital histopathology measures were obtained in up to 13 gray matter (GM) and adjacent white matter (WM) cortical brain regions sampled from 53 tauopathy and 66 TDP-43 proteinopathy autopsy patients. First, we constructed a weighted non-directed graph for each group, where nodes are defined as GM and WM regions sampled and edges in the graph are weighted using the group-level Pearson's correlation coefficient for each pairwise node comparison. Additionally, we performed mediation analyses to test mediation effects of WM pathology between anterior frontotemporal and posterior parietal GM nodes. We find greater correlation (i.e., edges) between GM and WM node pairs in tauopathies compared with TDP-43 proteinopathies. Moreover, WM pathology strongly correlated with a graph metric of pathology spread (i.e., node-strength) in tauopathies (r = 0.60, p < 0.03) but not in TDP-43 proteinopathies (r = 0.03, p = 0.9). Finally, we found mediation effects for WM pathology on the association between anterior and posterior GM pathology in FTLD-Tau but not in FTLD-TDP. These data suggest distinct tau and TDP-43 proteinopathies may have divergent patterns of cellular propagation in GM and WM. More specifically, axonal spread may be more influential in FTLD-Tau progression. Network analyses of digital histopathological measurements can inform models of disease progression of cellular degeneration in the human brain.SIGNIFICANCE STATEMENT In this study, we uniquely perform two complimentary computational approaches to model and contrast microscopic disease progression between common frontotemporal lobar degeneration (FTLD) proteinopathy subtypes with similar clinical syndromes during life. Our models suggest white matter (WM) pathology influences cortical spread of disease in tauopathies that is less evident in TDP-43 proteinopathies. These data support the hypothesis that there are neuropathologic signatures of cellular degeneration within neurocognitive networks for specific protienopathies. These distinctive patterns of cellular pathology can guide future efforts to develop tissue-sensitive imaging and biological markers with diagnostic and prognostic utility for FTLD. Moreover, our novel computational approach can be used in future work to model various neurodegenerative disorders with mixed proteinopathy within the human brain connectome.
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Affiliation(s)
- Min Chen
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Jeffrey S Phillips
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Noah Capp
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Emily Xie
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - David A Wolk
- Alzheimer's Disease Research Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - James Gee
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
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20
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Koçoğlu C, Van Broeckhoven C, van der Zee J. How network-based approaches can complement gene identification studies in frontotemporal dementia. Trends Genet 2022; 38:944-955. [DOI: 10.1016/j.tig.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 05/04/2022] [Accepted: 05/04/2022] [Indexed: 11/17/2022]
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21
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Burke SE, Phillips JS, Olm CA, Peterson CS, Cook PA, Gee JC, Lee EB, Trojanowski JQ, Massimo L, Irwin DJ, Grossman M. Phases of volume loss in patients with known frontotemporal lobar degeneration spectrum pathology. Neurobiol Aging 2022; 113:95-107. [PMID: 35325815 PMCID: PMC9241163 DOI: 10.1016/j.neurobiolaging.2022.02.007] [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: 06/22/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 10/19/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) includes clinically similar FTLD-tau or FTLD-TDP proteinopathies which lack in vivo markers for accurate antemortem diagnosis. To identify early distinguishing sites of cortical atrophy between groups, we retrospectively analyzed in vivo volumetric MRI from 42 FTLD-Tau and 21 FTLD-TDP patients and validated these findings with postmortem measures of pathological burden. Our frequency-based staging model revealed distinct loci of maximal early cortical atrophy in each group, including dorsolateral and medial frontal regions in FTLD-Tau and ventral frontal and anterior temporal regions in FTLD-TDP. Sørenson-Dice calculations between proteinopathy groups showed little overlap of phases. Conversely, within-group subtypes showed good overlap between 3R- and 4R-tauopathies, and between TDP-43 Types A and C for early regions with subtle divergence between subtypes in subsequent phases of atrophy. Postmortem validation found an association of imaging phases with pathologic burden within FTLD-tau (F(4, 238) = 17.44, p < 0.001) and FTLD-TDP (F(4,245) = 42.32, p < 0.001). These results suggest that relatively early, distinct markers of atrophy may distinguish FTLD proteinopathies during life.
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Affiliation(s)
- Sarah E Burke
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA..
| | - Jeffrey S Phillips
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA
| | - Christopher A Olm
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA.; Department of Radiology, Penn Image Computing & Science Lab (PICSL), Philadelphia, PA, USA
| | - Claire S Peterson
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA.; Digital Pathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Phillip A Cook
- Department of Radiology, Penn Image Computing & Science Lab (PICSL), Philadelphia, PA, USA
| | - James C Gee
- Department of Radiology, Penn Image Computing & Science Lab (PICSL), Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Center of Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center of Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - Lauren Massimo
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA.; Digital Pathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA
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22
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Koçoğlu C, Ferrari R, Roes M, Vandeweyer G, Kooy RF, van Broeckhoven C, Manzoni C, van der Zee J. Protein interaction network analysis reveals genetic enrichment of immune system genes in frontotemporal dementia. Neurobiol Aging 2022; 116:67-79. [DOI: 10.1016/j.neurobiolaging.2022.03.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 03/09/2022] [Accepted: 03/31/2022] [Indexed: 12/12/2022]
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23
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Scarian E, Fiamingo G, Diamanti L, Palmieri I, Gagliardi S, Pansarasa O. The Role of VCP Mutations in the Spectrum of Amyotrophic Lateral Sclerosis-Frontotemporal Dementia. Front Neurol 2022; 13:841394. [PMID: 35273561 PMCID: PMC8902152 DOI: 10.3389/fneur.2022.841394] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/28/2022] [Indexed: 01/02/2023] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD) are two neurological diseases which, respectively, and primarily affect motor neurons and frontotemporal lobes. Although they can lead to different signs and symptoms, it is now evident that these two pathologies form a continuum and that hallmarks of both diseases can be present within the same person in the so-called ALS-FTD spectrum. Many studies have focused on the genetic overlap of these pathologies and it is now clear that different genes, such as C9orf72, TARDBP, SQSTM1, FUS, and p97/VCP can be mutated in both the diseases. VCP was one of the first genes associated with both FTD and ALS representing an early example of gene overlapping. VCP belongs to the type II AAA (ATPases Associated with diverse cellular activities) family and is involved in ubiquitinated proteins degradation, autophagy, lysosomal clearance and mitochondrial quality control. Since its numerous roles, mutations in this gene lead to different pathological features, first and foremost TDP-43 mislocalization. This review aims to outline recent findings on VCP roles and on how its mutations are linked to the neuropathology of ALS and FTD.
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Affiliation(s)
- Eveljn Scarian
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Cellular Models and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Giuseppe Fiamingo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Luca Diamanti
- Neuroncology Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Ilaria Palmieri
- Department of Molecular Medicine, University of Pavia, Pavia, Italy.,Neurogenetics Research Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Stella Gagliardi
- Molecular Biology and Transcriptomics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Orietta Pansarasa
- Cellular Models and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
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24
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Signature laminar distributions of pathology in frontotemporal lobar degeneration. Acta Neuropathol 2022; 143:363-382. [PMID: 34997851 PMCID: PMC8858288 DOI: 10.1007/s00401-021-02402-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/11/2021] [Accepted: 12/28/2021] [Indexed: 12/24/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) with either tau (FTLD-tau) or TDP-43 (FTLD-TDP) inclusions are distinct proteinopathies that frequently cause similar frontotemporal dementia (FTD) clinical syndromes. FTD syndromes often display macroscopic signatures of neurodegeneration at the level of regions and networks, but it is unclear if subregional laminar pathology display patterns unique to proteinopathy or clinical syndrome. We hypothesized that FTLD-tau and FTLD-TDP accumulate pathology in relatively distinct cortical layers independent of clinical syndrome, with greater involvement of lower layers in FTLD-tau. The current study examined 170 patients with either FTLD-tau (n = 73) or FTLD-TDP (n = 97) spanning dementia and motor phenotypes in the FTD spectrum. We digitally measured the percent area occupied by tau and TDP-43 pathology in upper layers (I-III), lower layers (IV-VI), and juxtacortical white matter (WM) from isocortical regions in both hemispheres where available. Linear mixed-effects models compared ratios of upper to lower layer pathology between FTLD groups and investigated relationships with regions, WM pathology, and global cognitive impairment while adjusting for demographics. We found lower ratios of layer pathology in FTLD-tau and higher ratios of layer pathology in FTLD-TDP, reflecting lower layer-predominant tau pathology and upper layer-predominant TDP-43 pathology, respectively (p < 0.001). FTLD-tau displayed lower ratios of layer pathology related to greater WM tau pathology (p = 0.002) and to earlier involved/severe pathology regions (p = 0.007). In contrast, FTLD-TDP displayed higher ratios of layer pathology not related to either WM pathology or regional severity. Greater cognitive impairment was associated with higher ratios of layer pathology in FTLD-tau (p = 0.018), but was not related to ratios of layer pathology in FTLD-TDP. Lower layer-predominant tau pathology and upper layer-predominant TDP-43 pathology are proteinopathy-specific, regardless of clinical syndromes or regional networks that define these syndromes. Thus, patterns of laminar change may provide a useful anatomical framework for investigating how degeneration of select cells and corresponding laminar circuits influence large-scale networks and clinical symptomology in FTLD.
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25
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Peakman G, Russell LL, Convery RS, Nicholas JM, Van Swieten JC, Jiskoot LC, 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, Tagliavini F, Santana I, Pasquier F, Levin J, Danek A, Otto M, Sorbi S, Rohrer JD. Comparison of clinical rating scales in genetic frontotemporal dementia within the GENFI cohort. J Neurol Neurosurg Psychiatry 2022; 93:158-168. [PMID: 34353857 PMCID: PMC8785074 DOI: 10.1136/jnnp-2021-326868] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/30/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Therapeutic trials are now underway in genetic forms of frontotemporal dementia (FTD) but clinical outcome measures are limited. The two most commonly used measures, the Clinical Dementia Rating (CDR)+National Alzheimer's Disease Coordinating Center (NACC) Frontotemporal Lobar Degeneration (FTLD) and the FTD Rating Scale (FRS), have yet to be compared in detail in the genetic forms of FTD. METHODS The CDR+NACC FTLD and FRS were assessed cross-sectionally in 725 consecutively recruited participants from the Genetic FTD Initiative: 457 mutation carriers (77 microtubule-associated protein tau (MAPT), 187 GRN, 193 C9orf72) and 268 family members without mutations (non-carrier control group). 231 mutation carriers (51 MAPT, 92 GRN, 88 C9orf72) and 145 non-carriers had available longitudinal data at a follow-up time point. RESULTS Cross-sectionally, the mean FRS score was lower in all genetic groups compared with controls: GRN mutation carriers mean 83.4 (SD 27.0), MAPT mutation carriers 78.2 (28.8), C9orf72 mutation carriers 71.0 (34.0), controls 96.2 (7.7), p<0.001 for all comparisons, while the mean CDR+NACC FTLD Sum of Boxes was significantly higher in all genetic groups: GRN mutation carriers mean 2.6 (5.2), MAPT mutation carriers 3.2 (5.6), C9orf72 mutation carriers 4.2 (6.2), controls 0.2 (0.6), p<0.001 for all comparisons. Mean FRS score decreased and CDR+NACC FTLD Sum of Boxes increased with increasing disease severity within each individual genetic group. FRS and CDR+NACC FTLD Sum of Boxes scores were strongly negatively correlated across all mutation carriers (rs=-0.77, p<0.001) and within each genetic group (rs=-0.67 to -0.81, p<0.001 in each group). Nonetheless, discrepancies in disease staging were seen between the scales, and with each scale and clinician-judged symptomatic status. Longitudinally, annualised change in both FRS and CDR+NACC FTLD Sum of Boxes scores initially increased with disease severity level before decreasing in those with the most severe disease: controls -0.1 (6.0) for FRS, -0.1 (0.4) for CDR+NACC FTLD Sum of Boxes, asymptomatic mutation carriers -0.5 (8.2), 0.2 (0.9), prodromal disease -2.3 (9.9), 0.6 (2.7), mild disease -10.2 (18.6), 3.0 (4.1), moderate disease -9.6 (16.6), 4.4 (4.0), severe disease -2.7 (8.3), 1.7 (3.3). Sample sizes were calculated for a trial of prodromal mutation carriers: over 180 participants per arm would be needed to detect a moderate sized effect (30%) for both outcome measures, with sample sizes lower for the FRS. CONCLUSIONS Both the FRS and CDR+NACC FTLD measure disease severity in genetic FTD mutation carriers throughout the timeline of their disease, although the FRS may be preferable as an outcome measure. However, neither address a number of key symptoms in the FTD spectrum, for example, motor and neuropsychiatric deficits, which future scales will need to incorporate.
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Affiliation(s)
- Georgia Peakman
- Department of Neurodegenerative Disease, University College London Dementia Research Centre, London, UK
| | - Lucy L Russell
- Department of Neurodegenerative Disease, University College London Dementia Research Centre, London, UK
| | - Rhian S Convery
- Department of Neurodegenerative Disease, University College London Dementia Research Centre, London, UK
| | - Jennifer M Nicholas
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - John C Van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Hospital Universitario de Donostia, San Sebastian, Spain.,Neuroscience Area, Biodonostia Health Research Institute, Donostia-san Sebastian, 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, Laval University, Quebec, Quebec, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Stockholm, Sweden.,Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Stockholm, 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 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
- Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Matthis Synofzik
- Dept. of Neurodegenerative Diseases, Eberhard Karls University Tubingen Hertie Institute for Clinical Brain Research, Tubingen, Germany.,Center for Neurodegenerative Diseases, DZNE, Tübingen, Germany
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Centro Dino Ferrari, University of Milan, Milan, Italy
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium.,Neurology Service, KU Leuven University Hospitals Leuven, Leuven, Belgium.,Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, University of Oxford Medical Sciences Division, Oxford, UK.,Department of Brain Sciences, Imperial College London, London, UK
| | - Alex Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, The 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, Montreal, Québec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, Hôpital Universitaire Pitié Salpêtrière, Paris, France.,Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, Hôpital Universitaire Pitié Salpêtrière, Paris, France.,Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | | | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, University of Coimbra Faculty of Medicine, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, University of Coimbra Faculty of Medicine, Coimbra, Portugal
| | - Florence Pasquier
- University of Lille, Lille, France.,CNR-MAJ, Labex Distalz, LiCEND Lille, CHU Lille, Lille, France.,Inserm 1172, Lille, France
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munchen, 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, Munchen, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Firenze, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Firenze, Italy
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, University College London Dementia Research Centre, London, UK
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Plasma Small Extracellular Vesicles with Complement Alterations in GRN/ C9orf72 and Sporadic Frontotemporal Lobar Degeneration. Cells 2022; 11:cells11030488. [PMID: 35159297 PMCID: PMC8834212 DOI: 10.3390/cells11030488] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/21/2022] [Accepted: 01/27/2022] [Indexed: 02/01/2023] Open
Abstract
Cutting-edge research suggests endosomal/immune dysregulation in GRN/C9orf72-associated frontotemporal lobar degeneration (FTLD). In this retrospective study, we investigated plasma small extracellular vesicles (sEVs) and complement proteins in 172 subjects (40 Sporadic FTLD, 40 Intermediate/Pathological C9orf72 expansion carriers, and 49 Heterozygous/Homozygous GRN mutation carriers, 43 controls). Plasma sEVs (concentration, size) were analyzed by nanoparticle tracking analysis; plasma and sEVs C1q, C4, C3 proteins were quantified by multiplex assay. We demonstrated that genetic/sporadic FTLD share lower sEV concentrations and higher sEV sizes. The diagnostic performance of the two most predictive variables (sEV concentration/size ratio) was high (AUC = 0.91, sensitivity 85.3%, specificity 81.4%). C1q, C4, and C3 cargo per sEV is increased in genetic and sporadic FTLD. C4 (cargo per sEV, total sEV concentration) is increased in Sporadic FTLD and reduced in GRN+ Homozygous, suggesting its specific unbalance compared with Heterozygous cases. C3 plasma level was increased in genetic vs. sporadic FTLD. Looking at complement protein compartmentalization, in control subjects, the C3 and C4 sEV concentrations were roughly half that in respect to those measured in plasma; interestingly, this compartmentalization was altered in different ways in patients. These results suggest sEVs and complement proteins as potential therapeutic targets to mitigate neurodegeneration in FTLD.
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Zanardini R, Saraceno C, Benussi L, Squitti R, Ghidoni R. Exploring Neurofilament Light Chain and Exosomes in the Genetic Forms of Frontotemporal Dementia. Front Neurosci 2022; 16:758182. [PMID: 35145377 PMCID: PMC8821515 DOI: 10.3389/fnins.2022.758182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/03/2022] [Indexed: 11/13/2022] Open
Abstract
Differential diagnosis of neurological disorders and their subtype classification are challenging without specific biomarkers. Genetic forms of these disorders, typified by an autosomal dominant family history, could offer a window to identify potential biomarkers by exploring the presymptomatic stages of the disease. Frontotemporal dementia (FTD) is the second cause of dementia with an age of onset < 65, and its most common mutations are in GRN, C9orf72, and MAPT genes. Several studies have demonstrated that the main proteins involved in FTD pathogenesis can be secreted in exosomes, a specific subtype of extracellular vesicles able to transfer biomolecules between cells avoiding cell-to-cell contact. Neurofilament light chain (NfL) levels in central nervous system have been advocated as biomarkers of axonal injury. NfL concentrations have been found increased in FTD and have been related to disease severity and prognosis. Little information on the relationship between NfL and exosomes in FTD has been collected, deriving mainly from traumatic brain injury. Current review deals with this matter in the attempt to provide an updated discussion of the role of NfL and exosomes as biomarkers of genetic forms of FTD.
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Kim BJ, Lee V, Lee EB, Saludades A, Trojanowski JQ, Dunaief JL, Grossman M, Irwin DJ. Retina tissue validation of optical coherence tomography determined outer nuclear layer loss in FTLD-tau. Acta Neuropathol Commun 2021; 9:184. [PMID: 34794500 PMCID: PMC8600822 DOI: 10.1186/s40478-021-01290-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 11/06/2021] [Indexed: 11/10/2022] Open
Abstract
Alzheimer's disease (AD) is associated with inner retina (nerve fiber and ganglion cell layers) thinning. In contrast, we have seen outer retina thinning driven by photoreceptor outer nuclear layer (ONL) thinning with antemortem optical coherence tomography (OCT) among patients considered to have a frontotemporal degeneration tauopathy (FTLD-Tau). Our objective was to determine if postmortem retinal tissue from FTLD-Tau patients demonstrates ONL loss observed antemortem on OCT. Two probable FTLD-Tau patients that were deeply phenotyped by clinical and genetic testing were imaged with OCT and followed to autopsy. Postmortem brain and retinal tissue were evaluated by a neuropathologist and ocular pathologist, respectively, masked to diagnosis. OCT findings were correlated with retinal histology. The two patients had autopsy-confirmed FTLD-Tau neuropathology and had antemortem OCT measurements showing ONL thinning (66.9 μm, patient #1; 74.9 μm, patient #2) below the 95% confidence interval of normal limits (75.1-120.7 μm) in our healthy control cohort. Postmortem, retinal tissue from both patients demonstrated loss of nuclei in the ONL, matching ONL loss visualized on antemortem OCT. Nuclei counts from each area of ONL loss (2 - 3 nuclei per column) seen in patient eyes were below the 95% confidence interval (4 - 8 nuclei per column for ONL) of 3 normal control retinas analyzed at the same location. Our evaluation of retinal tissue from FTLD-Tau patients confirms ONL loss seen antemortem by OCT. Continued investigation of ONL thinning as a biomarker that may distinguish FTLD-Tau from other dementias is warranted.
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Crook A, Jacobs C, Newton-John T, Richardson E, McEwen A. Patient and Relative Experiences and Decision-making About Genetic Testing and Counseling for Familial ALS and FTD: A Systematic Scoping Review. Alzheimer Dis Assoc Disord 2021; 35:374-385. [PMID: 34054018 DOI: 10.1097/wad.0000000000000458] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 04/13/2021] [Indexed: 11/25/2022]
Abstract
Genetic testing and counseling is an emerging part of care for patients with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) and their families. This scoping review aimed to map patients' and relatives' experiences of genetic testing and counseling for familial ALS and FTD and the factors influencing their decision to proceed with testing or counseling. Informed by the Joanna Briggs Institute methodology, 5 databases were systematically searched. Thirty studies from 39 references were included. A descriptive numerical summary analysis and narrative synthesis was conducted. Mostly positive diagnostic testing experiences were reported, but issues arose due to progressive disease and discordant results. Predictive testing impacted at-risk relatives, regardless of the result received, and psychosocial sequelae ranged from relief to guilt, worry or contemplating suicide. Four reproductive testing experiences were reported. Personal, familial and practical factors, and the lived experience of disease, informed decision-making. Greater uncertainty and complexity may be faced in familial ALS/FTD than in other late-onset neurodegenerative diseases due to clinical and genetic heterogeneity, and testing limitations. Genetic counseling models of care should consider this difference to ensure that individuals with, or at risk of, ALS/FTD are effectively managed. Implications for research and practice are discussed.
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Affiliation(s)
- Ashley Crook
- Graduate School of Health, University of Technology Sydney, Chippendale
- Department of Biomedical Science, Centre for MND Research
- Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Chris Jacobs
- Graduate School of Health, University of Technology Sydney, Chippendale
| | - Toby Newton-John
- Graduate School of Health, University of Technology Sydney, Chippendale
| | - Ebony Richardson
- Graduate School of Health, University of Technology Sydney, Chippendale
| | - Alison McEwen
- Graduate School of Health, University of Technology Sydney, Chippendale
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30
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Common genetic variation is associated with longitudinal decline and network features in behavioral variant frontotemporal degeneration. Neurobiol Aging 2021; 108:16-23. [PMID: 34474300 PMCID: PMC8616801 DOI: 10.1016/j.neurobiolaging.2021.07.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 07/25/2021] [Accepted: 07/28/2021] [Indexed: 01/28/2023]
Abstract
The T allele in rs1768208 located in or near the myelin oligodendrocyte basic protein gene (MOBP) is a risk factor for frontotemporal degeneration pathology. We evaluated the hypothesis that the presence of a T allele in rs1768208 will be associated with rate of cognitive decline in behavioral variant frontotemporal degeneration (bvFTD) related to compromised frontal networks. We studied 81 individuals clinically diagnosed with bvFTD who were genotyped for rs1768208 and coded using a dominant model reflecting the presence (i.e., MOBP +) or absence (MOBP -) of the T risk allele. Linear mixed-effects models assessed the association of genotype on neuropsychological performance over time. Regression analyses examined differences in network structure by MOBP genotype. We found a genotype by time interaction for declining cognitive performance, whereby MOBP + individuals demonstrated faster rates of decline in executive function. The presence of a MOBP risk allele was associated with degradation of white matter network features in the frontal lobe. These findings suggest that individual genetic variation may contribute to heterogeneity in clinical progression.
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López-Cáceres A, Velasco-Rueda M, Garcia-Cifuentes E, Zarante I, Matallana D. Analysis of Heritability Across the Clinical Phenotypes of Frontotemporal Dementia and the Frequency of the C9ORF72 in a Colombian Population. Front Neurol 2021; 12:681595. [PMID: 34526954 PMCID: PMC8435669 DOI: 10.3389/fneur.2021.681595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/30/2021] [Indexed: 12/04/2022] Open
Abstract
Frontotemporal dementia (FTD) is a highly heritable condition. Up to 40% of FTD is familial and an estimated 15% to 40% is due to single-gene mutations. It has been estimated that the G4C2 hexanucleotide repeat expansions in the C9ORF72 gene can explain up to 37.5% of the familial cases of FTD, especially in populations of Caucasian origin. The purpose of this paper is to evaluate hereditary risk across the clinical phenotypes of FTD and the frequency of the G4C2 expansion in a Colombian cohort diagnosed with FTD. Methods: A total of 132 FTD patients were diagnosed according to established criteria in the behavioral variant FTD, logopenic variant PPA, non-fluent agrammatic PPA, and semantic variant PPA. Hereditary risk across the clinical phenotypes was established in four categories that indicate the pathogenic relationship of the mutation: high, medium, low, and apparently sporadic, based on those proposed by Wood and collaborators. All subjects were also examined for C9ORF72 hexanucleotide expansion (defined as >30 repetitions). Results: There were no significant differences in the demographic characteristics of the patients between the clinical phenotypes of FTD. The higher rate phenotype was bvFTD (62.12%). In accordance with the risk classification, we found that 72 (54.4%) complied with the criteria for the sporadic cases; for the familial cases, 23 (17.4%) fulfilled the high-risk criteria, 23 (17.4%) fulfilled the low risk criteria, and 14 (10.6%) fulfilled the criteria to be classified as subject to medium risk. C9ORF72 expansion frequency was 0.76% (1/132). Conclusion: The FTD heritability presented in this research was very similar to the results reported in the literature. The C9ORF72 expansion frequency was low. Colombia is a triethnic country, with a high frequency of genetic Amerindian markers; this shows consistency with the present results of a low repetition frequency. This study provides an initial report of the frequency for the hexanucleotide repeat expansions in C9ORF72 in patients with FTD in a Colombian population and paves the way for further study of the possible genetic causes of FTD in Colombia.
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Affiliation(s)
- Andrea López-Cáceres
- School of Medicine, Instituto de Genética Humana, Pontificia Universidad Javeriana, Bogotá, Colombia
- Fundación Santa Fé de Bogotá, Bogotá, Colombia
| | - María Velasco-Rueda
- School of Medicine, Instituto de Genética Humana, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Elkin Garcia-Cifuentes
- School of Medicine, Departamento de Neurociencias, Unidad de neurología, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Ignacio Zarante
- School of Medicine, Instituto de Genética Humana, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Diana Matallana
- Fundación Santa Fé de Bogotá, Bogotá, Colombia
- School of Medicine, Instituto de Envejecimiento, Doctorado de Neurociencias, Psychiatry and Mental Health Department, Pontificia Universidad Javeriana, Bogotá, Colombia
- Centro de Memoria y Cognición Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
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32
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Wong B, Lucente D, Krivensky S, Krahn E, Karlawish J, Dickerson BC. Knowledge assessment and psychological impact of genetic counseling in people at risk for familial FTD. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12225. [PMID: 34337135 PMCID: PMC8319661 DOI: 10.1002/dad2.12225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/25/2021] [Accepted: 06/28/2021] [Indexed: 11/17/2022]
Abstract
INTRODUCTION The decision to undergo genetic testing for familial frontotemporal dementia (fFTD) is challenging and complex. When counseling individuals, clinicians need to know what individuals understand about the type of fFTD for which they may be at elevated risk. Unfortunately, no tools to measure understanding of fFTD exist, and no study has investigated knowledge gain from fFTD genetic counseling. METHODS Before and after genetic counseling, 42 asymptomatic individuals from fFTD families completed the newly developed fFTD Knowledge Assessment and Psychological Impact Questionnaire (fFTD KAPI-Q), along with affect and mood questionnaires. RESULTS Genetic counseling resulted in substantial knowledge gain on the fFTD KAPI-Q (average gain = 40%); those with lower pre-counseling scores gained the most. Negative affect diminished by 11%. Individuals who gained the greatest knowledge demonstrated the greatest reduction in negative affect. CONCLUSIONS Genetic counseling was effective regardless of level of baseline knowledge and has an immediate ameliorative impact on negative affect.
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Affiliation(s)
- Bonnie Wong
- Departments of Neurology and PsychiatryFrontotemporal Disorders Unit and Alzheimer's Disease Research CenterBostonMassachusettsUSA
| | - Diane Lucente
- Departments of Neurology and PsychiatryFrontotemporal Disorders Unit and Alzheimer's Disease Research CenterBostonMassachusettsUSA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Samantha Krivensky
- Departments of Neurology and PsychiatryFrontotemporal Disorders Unit and Alzheimer's Disease Research CenterBostonMassachusettsUSA
| | - Erin Krahn
- Departments of Neurology and PsychiatryFrontotemporal Disorders Unit and Alzheimer's Disease Research CenterBostonMassachusettsUSA
| | - Jason Karlawish
- Penn Memory Center & Division of GeriatricsDepartments of MedicineMedical Ethics and Health Policyand NeurologyPerelman School of MedicineUniversity of Pennsylvania School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Bradford C. Dickerson
- Departments of Neurology and PsychiatryFrontotemporal Disorders Unit and Alzheimer's Disease Research CenterBostonMassachusettsUSA
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Forrest SL, Kim JH, De Sousa C, Cheong R, Crockford DR, Sheedy D, Stevens J, McCrossin T, Tan RH, McCann H, Shepherd CE, Rowe DB, Kiernan MC, Halliday GM, Kril JJ. Coexisting Lewy body disease and clinical parkinsonism in amyotrophic lateral sclerosis. Eur J Neurol 2021; 28:2192-2199. [PMID: 33793036 DOI: 10.1111/ene.14849] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/22/2021] [Accepted: 03/29/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is associated with a range of clinical phenotypes and shows progressive degeneration of upper and/or lower motor neurons, and phosphorylated 43 kDa TAR DNA-binding protein (pTDP-43) inclusions in motor and non-motor pathways. Parkinsonian features have been reported in up to 30% of ALS patients, and Lewy bodies, normally associated with Lewy body disease (LBD), have been reported in a small number of ALS cases, with unknown clinical relevance. This study investigates the prevalence of clinically relevant LBD in a prospectively studied ALS cohort to determine whether concomitant pathology contributes to the clinical heterogeneity. METHODS All ALS cases held by the New South Wales Brain Bank (n = 97) were screened for coexisting LBD consistent with clinical disease (Braak ≥ stage IV). Relevant clinical and genetic associations were determined. RESULTS Six cases had coexisting LBD Braak ≥ stage IV pathology. The age at symptom onset (69 ± 7 years) and disease duration (4 ± 3 years) in ALS cases with coexisting LBD did not differ from ALS cases. Three patients had lower limb onset and two patients had bulbar onset. Two patients developed the clinical features of Parkinson's disease, with one receiving a dual diagnosis. All cases had no known relevant family history or genetic abnormalities. CONCLUSION The prevalence of clinically relevant LBD pathology in ALS is higher than in the general population, and has implications for clinical and neuropathological diagnoses and the identification of biomarkers.
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Affiliation(s)
- Shelley L Forrest
- Faculty of Medicine, Health and Human Sciences, School of Biomedical Sciences, Dementia Research Centre, Macquarie University, Sydney, NSW, Australia.,Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Jordan Hanxi Kim
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Clair De Sousa
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Rosie Cheong
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Daniel R Crockford
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Donna Sheedy
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Julia Stevens
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Toni McCrossin
- Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Rachel H Tan
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Heather McCann
- Neuroscience Research Australia, Randwick, NSW, Australia
| | | | - Dominic B Rowe
- Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.,Department of Biomedical Science, Faculty of Medicine, Health and Human Sciences, Centre for MND Research, Macquarie University, Sydney, NSW, Australia
| | - Matthew C Kiernan
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Glenda M Halliday
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Jillian J Kril
- Faculty of Medicine, Health and Human Sciences, School of Biomedical Sciences, Dementia Research Centre, Macquarie University, Sydney, NSW, Australia.,Faculty of Medicine and Health, Discipline of Pathology and Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
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Peet BT, Spina S, Mundada N, La Joie R. Neuroimaging in Frontotemporal Dementia: Heterogeneity and Relationships with Underlying Neuropathology. Neurotherapeutics 2021; 18:728-752. [PMID: 34389969 PMCID: PMC8423978 DOI: 10.1007/s13311-021-01101-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2021] [Indexed: 12/11/2022] Open
Abstract
Frontotemporal dementia encompasses a group of clinical syndromes defined pathologically by degeneration of the frontal and temporal lobes. Historically, these syndromes have been challenging to diagnose, with an average of about three years between the time of symptom onset and the initial evaluation and diagnosis. Research in the field of neuroimaging has revealed numerous biomarkers of the various frontotemporal dementia syndromes, which has provided clinicians with a method of narrowing the differential diagnosis and improving diagnostic accuracy. As such, neuroimaging is considered a core investigative tool in the evaluation of neurodegenerative disorders. Furthermore, patterns of neurodegeneration correlate with the underlying neuropathological substrates of the frontotemporal dementia syndromes, which can aid clinicians in determining the underlying etiology and improve prognostication. This review explores the advancements in neuroimaging and discusses the phenotypic and pathologic features of behavioral variant frontotemporal dementia, semantic variant primary progressive aphasia, and nonfluent variant primary progressive aphasia, as seen on structural magnetic resonance imaging and positron emission tomography.
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Affiliation(s)
- Bradley T Peet
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
| | - Salvatore Spina
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Nidhi Mundada
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
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35
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Broce IJ, Castruita PA, Yokoyama JS. Moving Toward Patient-Tailored Treatment in ALS and FTD: The Potential of Genomic Assessment as a Tool for Biological Discovery and Trial Recruitment. Front Neurosci 2021; 15:639078. [PMID: 33732107 PMCID: PMC7956998 DOI: 10.3389/fnins.2021.639078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 02/01/2021] [Indexed: 01/04/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two devastating and intertwined neurodegenerative diseases. Historically, ALS and FTD were considered distinct disorders given differences in presenting clinical symptoms, disease duration, and predicted risk of developing each disease. However, research over recent years has highlighted the considerable clinical, pathological, and genetic overlap of ALS and FTD, and these two syndromes are now thought to represent different manifestations of the same neuropathological disease spectrum. In this review, we discuss the need to shift our focus from studying ALS and FTD in isolation to identifying the biological mechanisms that drive these diseases-both common and distinct-to improve treatment discovery and therapeutic development success. We also emphasize the importance of genomic data to facilitate a "precision medicine" approach for treating ALS and FTD.
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Affiliation(s)
- Iris J. Broce
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States
| | - Patricia A. Castruita
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Jennifer S. Yokoyama
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
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Giannini LAA, Peterson C, Ohm D, Xie SX, McMillan CT, Raskovsky K, Massimo L, Suh E, Van Deerlin VM, Wolk DA, Trojanowski JQ, Lee EB, Grossman M, Irwin DJ. Frontotemporal lobar degeneration proteinopathies have disparate microscopic patterns of white and grey matter pathology. Acta Neuropathol Commun 2021; 9:30. [PMID: 33622418 PMCID: PMC7901087 DOI: 10.1186/s40478-021-01129-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 02/07/2021] [Indexed: 01/10/2023] Open
Abstract
Frontotemporal lobar degeneration proteinopathies with tau inclusions (FTLD-Tau) or TDP-43 inclusions (FTLD-TDP) are associated with clinically similar phenotypes. However, these disparate proteinopathies likely differ in cellular severity and regional distribution of inclusions in white matter (WM) and adjacent grey matter (GM), which have been understudied. We performed a neuropathological study of subcortical WM and adjacent GM in a large autopsy cohort (n = 92; FTLD-Tau = 37, FTLD-TDP = 55) using a validated digital image approach. The antemortem clinical phenotype was behavioral-variant frontotemporal dementia (bvFTD) in 23 patients with FTLD-Tau and 42 with FTLD-TDP, and primary progressive aphasia (PPA) in 14 patients with FTLD-Tau and 13 with FTLD-TDP. We used linear mixed-effects models to: (1) compare WM pathology burden between proteinopathies; (2) investigate the relationship between WM pathology burden and WM degeneration using luxol fast blue (LFB) myelin staining; (3) study regional patterns of pathology burden in clinico-pathological groups. WM pathology burden was greater in FTLD-Tau compared to FTLD-TDP across regions (beta = 4.21, SE = 0.34, p < 0.001), and correlated with the degree of WM degeneration in both FTLD-Tau (beta = 0.32, SE = 0.10, p = 0.002) and FTLD-TDP (beta = 0.40, SE = 0.08, p < 0.001). WM degeneration was greater in FTLD-Tau than FTLD-TDP particularly in middle-frontal and anterior cingulate regions (p < 0.05). Distinct regional patterns of WM and GM inclusions characterized FTLD-Tau and FTLD-TDP proteinopathies, and associated in part with clinical phenotype. In FTLD-Tau, WM pathology was particularly severe in the dorsolateral frontal cortex in nonfluent-variant PPA, and GM pathology in dorsolateral and paralimbic frontal regions with some variation across tauopathies. Differently, FTLD-TDP had little WM regional variability, but showed severe GM pathology burden in ventromedial prefrontal regions in both bvFTD and PPA. To conclude, FTLD-Tau and FTLD-TDP proteinopathies have distinct severity and regional distribution of WM and GM pathology, which may impact their clinical presentation, with overall greater severity of WM pathology as a distinguishing feature of tauopathies.
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Affiliation(s)
- Lucia A A Giannini
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
- Department of Neurology, Alzheimer Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Daniel Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Katya Raskovsky
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Lauren Massimo
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - EunRah Suh
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA.
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Ali F, Sreeraj VS, Nadella RK, Holla B, Mahadevan J, Ithal D, Balachander S, Viswanath B, Venkatasubramanian G, John JP, Reddy YCJ, Jain S. Estimating the familial risk of psychiatric illnesses: A review of family history scores. Asian J Psychiatr 2021; 56:102551. [PMID: 33453492 DOI: 10.1016/j.ajp.2021.102551] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/17/2020] [Accepted: 01/05/2021] [Indexed: 11/26/2022]
Abstract
A history of psychiatric illnesses in family members of those diagnosed to have an illness has been of significant interest both in research and in clinical practice. Almost all of the major psychiatric illnesses have a familial component to them, perhaps influenced by genetics and a shared environment or their combination. Systematic attempts have been made to quantify these familial risks, as obtained from family history (FH) of psychiatric illnesses. The methods range from a simple dichotomous or count scores to those quantifying as weighted risks such as the Family history density (FHD) measures. This article reviews the available literature on such FH methods and discusses their advantages and limitations. Validation studies have shown that FHD measures may be preferred over dichotomous measures as indicators of familial risk. However, the FHD method has certain limitations, like mostly relying on categorical diagnosis and ignoring other familial risk factors. By critically analysing various existing density measures based on 'ideal characteristics', we suggest a modified version of FHD that would benefit psychiatric research.
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Affiliation(s)
- Furkhan Ali
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru.
| | - Ravi Kumar Nadella
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Bharath Holla
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Jayant Mahadevan
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Dhruva Ithal
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Srinivas Balachander
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Biju Viswanath
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | | | - John P John
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Y C Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
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Placek K, Benatar M, Wuu J, Rampersaud E, Hennessy L, Van Deerlin VM, Grossman M, Irwin DJ, Elman L, McCluskey L, Quinn C, Granit V, Statland JM, Burns TM, Ravits J, Swenson A, Katz J, Pioro EP, Jackson C, Caress J, So Y, Maiser S, Walk D, Lee EB, Trojanowski JQ, Cook P, Gee J, Sha J, Naj AC, Rademakers R, Chen W, Wu G, Paul Taylor J, McMillan CT. Machine learning suggests polygenic risk for cognitive dysfunction in amyotrophic lateral sclerosis. EMBO Mol Med 2021; 13:e12595. [PMID: 33270986 PMCID: PMC7799365 DOI: 10.15252/emmm.202012595] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/27/2020] [Accepted: 10/30/2020] [Indexed: 11/09/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction is commonly observed in patients; however, factors influencing risk for cognitive dysfunction remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we observed that single nucleotide polymorphisms collectively associate with baseline cognitive performance in a large ALS patient cohort (N = 327) from the multicenter Clinical Research in ALS and Related Disorders for Therapeutic Development (CReATe) Consortium. We demonstrate that a polygenic risk score derived using sCCA relates to longitudinal cognitive decline in the same cohort and also to in vivo cortical thinning in the orbital frontal cortex, anterior cingulate cortex, lateral temporal cortex, premotor cortex, and hippocampus (N = 90) as well as post-mortem motor cortical neuronal loss (N = 87) in independent ALS cohorts from the University of Pennsylvania Integrated Neurodegenerative Disease Biobank. Our findings suggest that common genetic polymorphisms may exert a polygenic contribution to the risk of cortical disease vulnerability and cognitive dysfunction in ALS.
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39
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Placek K, Benatar M, Wuu J, Rampersaud E, Hennessy L, Van Deerlin VM, Grossman M, Irwin DJ, Elman L, McCluskey L, Quinn C, Granit V, Statland JM, Burns TM, Ravits J, Swenson A, Katz J, Pioro EP, Jackson C, Caress J, So Y, Maiser S, Walk D, Lee EB, Trojanowski JQ, Cook P, Gee J, Sha J, Naj AC, Rademakers R, Chen W, Wu G, Paul Taylor J, McMillan CT. Machine learning suggests polygenic risk for cognitive dysfunction in amyotrophic lateral sclerosis. EMBO Mol Med 2021. [PMID: 33270986 PMCID: PMC7799365 DOI: 10.15252/emmm.202012595|] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction is commonly observed in patients; however, factors influencing risk for cognitive dysfunction remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we observed that single nucleotide polymorphisms collectively associate with baseline cognitive performance in a large ALS patient cohort (N = 327) from the multicenter Clinical Research in ALS and Related Disorders for Therapeutic Development (CReATe) Consortium. We demonstrate that a polygenic risk score derived using sCCA relates to longitudinal cognitive decline in the same cohort and also to in vivo cortical thinning in the orbital frontal cortex, anterior cingulate cortex, lateral temporal cortex, premotor cortex, and hippocampus (N = 90) as well as post-mortem motor cortical neuronal loss (N = 87) in independent ALS cohorts from the University of Pennsylvania Integrated Neurodegenerative Disease Biobank. Our findings suggest that common genetic polymorphisms may exert a polygenic contribution to the risk of cortical disease vulnerability and cognitive dysfunction in ALS.
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Affiliation(s)
- Katerina Placek
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Michael Benatar
- Department of NeurologyLeonard M. Miller School of MedicineUniversity of MiamiMiamiFLUSA
| | - Joanne Wuu
- Department of NeurologyLeonard M. Miller School of MedicineUniversity of MiamiMiamiFLUSA
| | - Evadnie Rampersaud
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA
| | - Laura Hennessy
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Vivianna M Van Deerlin
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Murray Grossman
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David J Irwin
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Lauren Elman
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Leo McCluskey
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Colin Quinn
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Volkan Granit
- Department of NeurologyLeonard M. Miller School of MedicineUniversity of MiamiMiamiFLUSA
| | - Jeffrey M Statland
- Department of NeurologyUniversity of Kansas Medical CenterKansas CityKSUSA
| | - Ted M Burns
- Department of NeurologyUniversity of Virginia Health SystemCharlottesvilleVAUSA
| | - John Ravits
- Department of NeurosciencesUniversity of California San DiegoSan DiegoCAUSA
| | | | - Jon Katz
- Forbes Norris ALS CenterCalifornia Pacific Medical CenterSan FranciscoCAUSA
| | - Erik P Pioro
- Department of NeurologyCleveland ClinicClevelandOHUSA
| | - Carlayne Jackson
- Department of NeurologyUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - James Caress
- Department of NeurologyWake Forest University School of MedicineWinston‐SalemNCUSA
| | - Yuen So
- Department of NeurologyStanford University Medical CenterSan JoseCAUSA
| | - Samuel Maiser
- Department of NeurologyUniversity of Minnesota Medical CenterMinneapolisMNUSA
| | - David Walk
- Department of NeurologyUniversity of Minnesota Medical CenterMinneapolisMNUSA
| | - Edward B Lee
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - John Q Trojanowski
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Philip Cook
- Penn Image Computing Science Laboratory (PICSL)Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - James Gee
- Penn Image Computing Science Laboratory (PICSL)Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Jin Sha
- Department of Biostatistics, Epidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA,Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Adam C Naj
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA,Department of Biostatistics, Epidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA,Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | | | | | - Wenan Chen
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA
| | - Gang Wu
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA
| | - J Paul Taylor
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA,The Howard Hughes Medical InstituteChevy ChaseMSUSA
| | - Corey T McMillan
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
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40
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Koriath CAM, Kenny J, Ryan NS, Rohrer JD, Schott JM, Houlden H, Fox NC, Tabrizi SJ, Mead S. Genetic testing in dementia - utility and clinical strategies. Nat Rev Neurol 2021; 17:23-36. [PMID: 33168964 DOI: 10.1038/s41582-020-00416-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2020] [Indexed: 02/07/2023]
Abstract
Techniques for clinical genetic testing in dementia disorders have advanced rapidly but remain to be more widely implemented in practice. A positive genetic test offers a precise molecular diagnosis, can help members of an affected family to determine personal risk, provides a basis for reproductive choices and can offer options for clinical trials. The likelihood of identifying a specific genetic cause of dementia depends on the clinical condition, the age at onset and family history. Attempts to match phenotypes to single genes are mostly inadvisable owing to clinical overlap between the dementias, genetic heterogeneity, pleiotropy and concurrent mutations. Currently, the appropriate genetic test in most cases of dementia is a next-generation sequencing gene panel, though some conditions necessitate specific types of test such as repeat expansion testing. Whole-exome and whole-genome sequencing are becoming financially feasible but raise or exacerbate complex issues such as variants of uncertain significance, secondary findings and the potential for re-analysis in light of new information. However, the capacity for data analysis and counselling is already restricting the provision of genetic testing. Patients and their relatives need to be given reliable information to enable them to make informed choices about tests, treatments and data sharing; the ability of patients with dementia to make decisions must be considered when providing this information.
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Affiliation(s)
| | - Joanna Kenny
- South West Thames Regional Genetics Service, London, UK
| | - Natalie S Ryan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute, 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
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Henry Houlden
- Neurogenetics Laboratory, National Hospital for Neurology and Neurosurgery, London, UK
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute, UCL Queen Square Institute of Neurology, London, UK
| | - Sarah J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Simon Mead
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, London, UK.
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41
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Ohm DT, Peterson C, Lobrovich R, Cousins KAQ, Gibbons GS, McMillan CT, Wolk DA, Van Deerlin V, Elman L, Spindler M, Deik A, Siderowf A, Trojanowski JQ, Lee EB, Grossman M, Irwin DJ. Degeneration of the locus coeruleus is a common feature of tauopathies and distinct from TDP-43 proteinopathies in the frontotemporal lobar degeneration spectrum. Acta Neuropathol 2020; 140:675-693. [PMID: 32804255 DOI: 10.1007/s00401-020-02210-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 12/12/2022]
Abstract
Neurodegeneration of the locus coeruleus (LC) in age-related neurodegenerative diseases such as Alzheimer's disease (AD) is well documented. However, detailed studies of LC neurodegeneration in the full spectrum of frontotemporal lobar degeneration (FTLD) proteinopathies comparing tauopathies (FTLD-tau) to TDP-43 proteinopathies (FTLD-TDP) are lacking. Here, we tested the hypothesis that there is greater LC neuropathology and neurodegeneration in FTLD-tau compared to FTLD-TDP. We examined 280 patients including FTLD-tau (n = 94), FTLD-TDP (n = 135), and two reference groups: clinical/pathological AD (n = 32) and healthy controls (HC, n = 19). Adjacent sections of pons tissue containing the LC were immunostained for phosphorylated TDP-43 (1D3-p409/410), hyperphosphorylated tau (PHF-1), and tyrosine hydroxylase (TH) to examine neuromelanin-containing noradrenergic neurons. Blinded to clinical and pathologic diagnoses, we semi-quantitatively scored inclusions of tau and TDP-43 both inside LC neuronal somas and in surrounding neuropil. We also digitally measured the percent area occupied of neuromelanin inside of TH-positive LC neurons and in surrounding neuropil to calculate a ratio of extracellular-to-intracellular neuromelanin as an objective composite measure of neurodegeneration. We found that LC tau burden in FTLD-tau was greater than LC TDP-43 burden in FTLD-TDP (z = - 11.38, p < 0.0001). Digital measures of LC neurodegeneration in FTLD-tau were comparable to AD (z = - 1.84, p > 0.05) but greater than FTLD-TDP (z = - 3.85, p < 0.0001) and HC (z = - 4.12, p < 0.0001). Both tau burden and neurodegeneration were consistently elevated in the LC across pathologic and clinical subgroups of FTLD-tau compared to FTLD-TDP subgroups. Moreover, LC tau burden positively correlated with neurodegeneration in the total FTLD group (rho = 0.24, p = 0.001), while TDP-43 burden did not correlate with LC neurodegeneration in FTLD-TDP (rho = - 0.01, p = 0.90). These findings suggest that patterns of disease propagation across all tauopathies include prominent LC tau and neurodegeneration that are relatively distinct from the minimal degenerative changes to the LC in FTLD-TDP and HC. Antemortem detection of LC neurodegeneration and/or function could potentially improve antemortem differentiation of underlying FTLD tauopathies from clinically similar FTLD-TDP proteinopathies.
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Affiliation(s)
- Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Rebecca Lobrovich
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katheryn A Q Cousins
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Garrett S Gibbons
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Memory Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna Van Deerlin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren Elman
- Comprehensive Amyotrophic Lateral Sclerosis Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Meredith Spindler
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andres Deik
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andrew Siderowf
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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42
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Li W, Gao H, Dong X, Zheng D. SQSTM1 variant in disorders of the frontotemporal dementia-amyotrophic lateral sclerosis spectrum: identification of a novel heterozygous variant and a review of the literature. J Neurol 2020; 268:1351-1357. [PMID: 33125541 DOI: 10.1007/s00415-020-10283-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/18/2020] [Accepted: 10/20/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Accumulating evidence shows that SQSTM1 plays a vital role in the pathogenesis of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), which represent a neurodegenerative disease continuum. Here, we report a novel SQSTM1 variant in a patient presenting with progressive nonfluent aphasia (PNFA) and progressive bulbar palsy (PBP). Relevant literature about FTD and FTD-ALS caused by SQSTM1 mutation was reviewed to better understand its clinical features. METHODS We collected data from a 66-year-old male patient with a novel heterozygous variant (c.995C > G, p.S332X) in the SQSTM1 gene who was diagnosed with PNFA and PBP and performed a PubMed literature search using the advanced research criteria: [("frontotemporal lobar degeneration") OR ("frontotemporal dementia") OR ("amyotrophic lateral sclerosis") OR ("motor neuron disease")] AND ("SQSTM1"). The clinical features of FTD and FTD-ALS related to SQSTM1 mutation were summarized based on previous cases and our new case. RESULTS The initial symptom of the current patient was progressive verb finding difficulties and effortful speech output, which developed into dysarthria and dysphagia in subsequent months. The results, including tongue atrophy, fasciculations, neurogenic changes, and mild left dominant hypometabolism of 18F-fluorodeoxyglucose PET in the frontal cortex, suggest the possibility of PNFA and PBP. A novel likely pathogenic heterozygous variant (c.995C > G, p.S332X) in the SQSTM1 gene was identified. The literature search revealed a total of 33 FTD and FTD-ALS cases related to the SQSTM1 mutation with detailed clinical information. The mean age of onset (including our patient) was 63.5 ± 9.7 years. bvFTD was the most common clinical phenotype. The missense mutation in the SQSTM1 gene coding region and the UBA domain involvement are its main genetic characteristics. CONCLUSION Although rare, mutations in SQSTM1 can lead to various clinical subtypes of FTD and FTD-ALS, including the rare combination of PNFA and PBP. Exon missense mutation is the main type of mutation, which is common in the UBA domain.
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Affiliation(s)
- Weishuai Li
- Department of Neurology, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, 110004, Liaoning, China
| | - Han Gao
- Department of Neurology, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, 110004, Liaoning, China
| | - Xiaoyu Dong
- Department of Neurology, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, 110004, Liaoning, China
| | - Dongming Zheng
- Department of Neurology, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, 110004, Liaoning, China.
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43
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Zhang JV, Irwin DJ, Blennow K, Zetterberg H, Lee EB, Shaw LM, Rascovsky K, Massimo L, McMillan CT, Chen-Plotkin A, Elman L, Lee VMY, McCluskey L, Toledo JB, Weintraub D, Wolk D, Trojanowski JQ, Grossman M. Neurofilament Light Chain Related to Longitudinal Decline in Frontotemporal Lobar Degeneration. Neurol Clin Pract 2020; 11:105-116. [PMID: 33842063 DOI: 10.1212/cpj.0000000000000959] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/06/2020] [Indexed: 11/15/2022]
Abstract
Objective Accurate diagnosis and prognosis of frontotemporal lobar degeneration (FTLD) during life is an urgent concern in the context of emerging disease-modifying treatment trials. Few CSF markers have been validated longitudinally in patients with known pathology, and we hypothesized that CSF neurofilament light chain (NfL) would be associated with longitudinal cognitive decline in patients with known FTLD-TAR DNA binding protein ~43kD (TDP) pathology. Methods This case-control study evaluated CSF NfL, total tau, phosphorylated tau, and β-amyloid1-42 in patients with known FTLD-tau or FTLD-TDP pathology (n = 50) and healthy controls (n = 65) and an extended cohort of clinically diagnosed patients with likely FTLD-tau or FTLD-TDP (n = 148). Regression analyses related CSF analytes to longitudinal cognitive decline (follow-up ∼1 year), controlling for demographic variables and core AD CSF analytes. Results In FTLD-TDP with known pathology, CSF NfL is significantly elevated compared with controls and significantly associated with longitudinal decline on specific executive and language measures, after controlling for age, disease duration, and core AD CSF analytes. Similar findings are found in the extended cohort, also including clinically identified likely FTLD-TDP. Although CSF NfL is elevated in FTLD-tau compared with controls, the association between NfL and longitudinal cognitive decline is limited to executive measures. Conclusion CSF NfL is associated with longitudinal clinical decline in relevant cognitive domains in patients with FTLD-TDP after controlling for demographic factors and core AD CSF analytes and may also be related to longitudinal decline in executive functioning in FTLD-tau.
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Affiliation(s)
- Jiasi Vicky Zhang
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - David J Irwin
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Kaj Blennow
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Henrik Zetterberg
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Edward B Lee
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Leslie M Shaw
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Alice Chen-Plotkin
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Lauren Elman
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Virginia M-Y Lee
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Leo McCluskey
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Jon B Toledo
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Daniel Weintraub
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - David Wolk
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - John Q Trojanowski
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center (JVZ, DJI, KR, L. Massimo, CTM, MG) and Department of Neurology (DJI, KR, L. Massimo, CTM, AC-P, LE, L. McCluskey, D. Wolk, MG), Department of Pathology and Laboratory Medicine and Center for Neurodegenerative Disease Research (EBL, LMS, VM-YL, JBT, JQT), Department of Psychiatry (D. Weintraub), University of Pennsylvania, Philadelphia; Institute of Neuroscience and Physiology (KB, HZ), Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory (KB, HZ), Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL (HZ); and Department of Neurodegenerative Disease (HZ), UCL Institute of Neurology, UK
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Mol MO, van Rooij JGJ, Wong TH, Melhem S, Verkerk AJMH, Kievit AJA, van Minkelen R, Rademakers R, Pottier C, Kaat LD, Seelaar H, van Swieten JC, Dopper EGP. Underlying genetic variation in familial frontotemporal dementia: sequencing of 198 patients. Neurobiol Aging 2020; 97:148.e9-148.e16. [PMID: 32843152 DOI: 10.1016/j.neurobiolaging.2020.07.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/01/2020] [Accepted: 07/14/2020] [Indexed: 12/12/2022]
Abstract
Frontotemporal dementia (FTD) presents with a wide variability in clinical syndromes, genetic etiologies, and underlying pathologies. Despite the discovery of pathogenic variants in several genes, many familial cases remain unsolved. In a large FTD cohort of 198 familial patients, we aimed to determine the types and frequencies of variants in genes related to FTD. Pathogenic or likely pathogenic variants were revealed in 74 (37%) patients, including 4 novel variants. The repeat expansion in C9orf72 was most common (21%), followed by variants in MAPT (6%), GRN (4.5%), and TARDBP (3.5%). Other pathogenic variants were found in VCP, TBK1, PSEN1, and a novel homozygous variant in OPTN. Furthermore, we identified 15 variants of uncertain significance, including a promising variant in TUBA4A and a frameshift in VCP, for which additional research is needed to confirm pathogenicity. The patients without identified genetic cause demonstrated a wide clinical and pathological variety. Our study contributes to the clinical characterization of the genetic subtypes and confirms the value of whole-exome sequencing in identifying novel genetic variants.
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Affiliation(s)
- Merel O Mol
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Jeroen G J van Rooij
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Tsz H Wong
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Shamiram Melhem
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - Anneke J A Kievit
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Rick van Minkelen
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Rosa Rademakers
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | - Cyril Pottier
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | - Laura Donker Kaat
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Harro Seelaar
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands
| | - John C van Swieten
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Elise G P Dopper
- Department of Neurology & Alzheimer Center, Erasmus Medical Center, Rotterdam, the Netherlands
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45
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Ducharme S, Dols A, Laforce R, Devenney E, Kumfor F, van den Stock J, Dallaire-Théroux C, Seelaar H, Gossink F, Vijverberg E, Huey E, Vandenbulcke M, Masellis M, Trieu C, Onyike C, Caramelli P, de Souza LC, Santillo A, Waldö ML, Landin-Romero R, Piguet O, Kelso W, Eratne D, Velakoulis D, Ikeda M, Perry D, Pressman P, Boeve B, Vandenberghe R, Mendez M, Azuar C, Levy R, Le Ber I, Baez S, Lerner A, Ellajosyula R, Pasquier F, Galimberti D, Scarpini E, van Swieten J, Hornberger M, Rosen H, Hodges J, Diehl-Schmid J, Pijnenburg Y. Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders. Brain 2020; 143:1632-1650. [PMID: 32129844 PMCID: PMC7849953 DOI: 10.1093/brain/awaa018] [Citation(s) in RCA: 138] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 11/27/2019] [Accepted: 12/08/2019] [Indexed: 12/12/2022] Open
Abstract
The behavioural variant of frontotemporal dementia (bvFTD) is a frequent cause of early-onset dementia. The diagnosis of bvFTD remains challenging because of the limited accuracy of neuroimaging in the early disease stages and the absence of molecular biomarkers, and therefore relies predominantly on clinical assessment. BvFTD shows significant symptomatic overlap with non-degenerative primary psychiatric disorders including major depressive disorder, bipolar disorder, schizophrenia, obsessive-compulsive disorder, autism spectrum disorders and even personality disorders. To date, ∼50% of patients with bvFTD receive a prior psychiatric diagnosis, and average diagnostic delay is up to 5-6 years from symptom onset. It is also not uncommon for patients with primary psychiatric disorders to be wrongly diagnosed with bvFTD. The Neuropsychiatric International Consortium for Frontotemporal Dementia was recently established to determine the current best clinical practice and set up an international collaboration to share a common dataset for future research. The goal of the present paper was to review the existing literature on the diagnosis of bvFTD and its differential diagnosis with primary psychiatric disorders to provide consensus recommendations on the clinical assessment. A systematic literature search with a narrative review was performed to determine all bvFTD-related diagnostic evidence for the following topics: bvFTD history taking, psychiatric assessment, clinical scales, physical and neurological examination, bedside cognitive tests, neuropsychological assessment, social cognition, structural neuroimaging, functional neuroimaging, CSF and genetic testing. For each topic, responsible team members proposed a set of minimal requirements, optimal clinical recommendations, and tools requiring further research or those that should be developed. Recommendations were listed if they reached a ≥ 85% expert consensus based on an online survey among all consortium participants. New recommendations include performing at least one formal social cognition test in the standard neuropsychological battery for bvFTD. We emphasize the importance of 3D-T1 brain MRI with a standardized review protocol including validated visual atrophy rating scales, and to consider volumetric analyses if available. We clarify the role of 18F-fluorodeoxyglucose PET for the exclusion of bvFTD when normal, whereas non-specific regional metabolism abnormalities should not be over-interpreted in the case of a psychiatric differential diagnosis. We highlight the potential role of serum or CSF neurofilament light chain to differentiate bvFTD from primary psychiatric disorders. Finally, based on the increasing literature and clinical experience, the consortium determined that screening for C9orf72 mutation should be performed in all possible/probable bvFTD cases or suspected cases with strong psychiatric features.
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Affiliation(s)
- Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Str., Montreal, Quebec, H3A 2B4, Canada
| | - Annemiek Dols
- Department of Old Age Psychiatry, GGZ InGeest, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME), Laval University, Quebec, Canada
| | - Emma Devenney
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Fiona Kumfor
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Jan van den Stock
- Laboratory for Translational Neuropsychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | | | - Harro Seelaar
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Flora Gossink
- Department of Old Age Psychiatry, GGZ InGeest, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Everard Vijverberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Edward Huey
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Psychiatry, Colombia University, New York, USA
| | - Mathieu Vandenbulcke
- Department of Geriatric Psychiatry, University Hospitals Leuven, Leuven, Belgium
| | - Mario Masellis
- Department of Neurology, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Calvin Trieu
- Department of Old Age Psychiatry, GGZ InGeest, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Chiadi Onyike
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Paulo Caramelli
- Behavioral and Cognitive Neurology Research Group, Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Leonardo Cruz de Souza
- Behavioral and Cognitive Neurology Research Group, Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Maria Landqvist Waldö
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | | | - Olivier Piguet
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Wendy Kelso
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - David Perry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, USA
| | - Peter Pressman
- Department of Neurology, University of Colorado Denver, Aurora, USA
| | - Bradley Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rik Vandenberghe
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Mario Mendez
- Department of Neurology, UCLA Medical Centre, University of California Los Angeles, Los Angeles, USA
| | - Carole Azuar
- Department of Neurology, Hôpital La Pitié Salpêtrière, Paris, France
| | - Richard Levy
- Department of Neurology, Hôpital La Pitié Salpêtrière, Paris, France
| | - Isabelle Le Ber
- Department of Neurology, Hôpital La Pitié Salpêtrière, Paris, France
| | - Sandra Baez
- Department of Psychology, Andes University, Bogota, Colombia
| | - Alan Lerner
- Department of Neurology, University Hospital Cleveland Medical Center, Cleveland, USA
| | - Ratnavalli Ellajosyula
- Department of Neurology, Manipal Hospital and Annasawmy Mudaliar Hospital, Bangalore, India
| | - Florence Pasquier
- Univ Lille, Inserm U1171, Memory Center, CHU Lille, DISTAlz, Lille, France
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Centro Dino Ferrari, Milan, Italy
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, Neurodegenerative Diseases Unit Milan, Italy
| | - Elio Scarpini
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Centro Dino Ferrari, Milan, Italy
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, Neurodegenerative Diseases Unit Milan, Italy
| | - John van Swieten
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | | | - Howard Rosen
- Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - John Hodges
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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46
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Development of disease-modifying drugs for frontotemporal dementia spectrum disorders. Nat Rev Neurol 2020; 16:213-228. [PMID: 32203398 DOI: 10.1038/s41582-020-0330-x] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2020] [Indexed: 02/06/2023]
Abstract
Frontotemporal dementia (FTD) encompasses a spectrum of clinical syndromes characterized by progressive executive, behavioural and language dysfunction. The various FTD spectrum disorders are associated with brain accumulation of different proteins: tau, the transactive response DNA binding protein of 43 kDa (TDP43), or fused in sarcoma (FUS) protein, Ewing sarcoma protein and TATA-binding protein-associated factor 15 (TAF15) (collectively known as FET proteins). Approximately 60% of patients with FTD have autosomal dominant mutations in C9orf72, GRN or MAPT genes. Currently available treatments are symptomatic and provide limited benefit. However, the increased understanding of FTD pathogenesis is driving the development of potential disease-modifying therapies. Most of these drugs target pathological tau - this category includes tau phosphorylation inhibitors, tau aggregation inhibitors, active and passive anti-tau immunotherapies, and MAPT-targeted antisense oligonucleotides. Some of these therapeutic approaches are being tested in phase II clinical trials. Pharmacological approaches that target the effects of GRN and C9orf72 mutations are also in development. Key results of large clinical trials will be available in a few years. However, clinical trials in FTD pose several challenges, and the development of specific brain imaging and molecular biomarkers could facilitate the recruitment of clinically homogenous groups to improve the chances of positive clinical trial results.
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47
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Bonvicini C, Scassellati C, Benussi L, Di Maria E, Maj C, Ciani M, Fostinelli S, Mega A, Bocchetta M, Lanzi G, Giacopuzzi E, Ferraboli S, Pievani M, Fedi V, Defanti CA, Giliani S, Frisoni GB, Ghidoni R, Gennarelli M. Next Generation Sequencing Analysis in Early Onset Dementia Patients. J Alzheimers Dis 2020; 67:243-256. [PMID: 30530974 PMCID: PMC6398561 DOI: 10.3233/jad-180482] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Early onset dementias (EOD) are rare neurodegenerative dementias that present before 65 years. Genetic factors have a substantially higher pathogenetic contribution in EOD patients than in late onset dementia. Objective: To identify known and/or novel rare variants in major candidate genes associated to EOD by high-throughput sequencing. Common-risk variants of apolipoprotein E (APOE) and prion protein (PRNP) genes were also assessed. Methods: We studied 22 EOD patients recruited in Memory Clinics, in the context of studies investigating genetic forms of dementia. Two methodological approaches were applied for the target-Next Generation Sequencing (NGS) analysis of these patients. In addition, we performed progranulin plasma dosage, C9Orf72 hexanucleotide repeat expansion analysis, and APOE genotyping. Results: We detected three rare known pathogenic mutations in the GRN and PSEN2 genes and eleven unknown-impact mutations in the GRN, VCP, MAPT, FUS, TREM2, and NOTCH3 genes. Six patients were carriers of only common risk variants (APOE and PRNP), and one did not show any risk mutation/variant. Overall, 69% (n = 9) of our early onset Alzheimer’s disease (EAOD) patients, compared with 34% (n = 13) of sporadic late onset Alzheimer’s disease (LOAD) patients and 27% (n = 73) of non-affected controls (ADNI, whole genome data), were carriers of at least two rare/common risk variants in the analyzed candidate genes panel, excluding the full penetrant mutations. Conclusion: This study suggests that EOD patients without full penetrant mutations are characterized by higher probability to carry polygenic risk alleles that patients with LOAD forms. This finding is in line with recently reported evidence, thus suggesting that the genetic risk factors identified in LOAD might modulate the risk also in EOAD.
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Affiliation(s)
- Cristian Bonvicini
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Catia Scassellati
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Emilio Di Maria
- Department of Health Sciences, University of Genova and Division of Medical Genetics, Galliera Hospital, Genova, Italy
| | - Carlo Maj
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Institute for Genomic Statistics and Bioinformatics, Bonn, Germany
| | - Miriam Ciani
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Silvia Fostinelli
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Anna Mega
- Laboratory Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Martina Bocchetta
- Laboratory Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Gaetana Lanzi
- A. Nocivelli' Institute for Molecular Medicine Spedali Civili and University of Brescia, Brescia, Italy
| | - Edoardo Giacopuzzi
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Sergio Ferraboli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Michela Pievani
- Laboratory Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Carlo Alberto Defanti
- Fondazione Europea Ricerca Biomedica, Centro di Eccellenza Alzheimer, Ospedale Briolini Gazzaniga, Bergamo, Italy
| | - Silvia Giliani
- A. Nocivelli' Institute for Molecular Medicine Spedali Civili and University of Brescia, Brescia, Italy
| | | | - Giovanni Battista Frisoni
- Laboratory Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Laboratory of Neuroimaging of Aging (LANVIE), University Hospitals and University of Geneva, Geneva, Switzerland; Department of Internal Medicine, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Massimo Gennarelli
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
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48
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Jiao B, Zhou L, Zhou Y, Weng L, Liao X, Tian Y, Guo L, Liu X, Yuan Z, Xiao X, Jiang Y, Wang X, Yang Q, Li C, Zhu Y, Zhou L, Zhang W, Wang J, Li Y, Gu W, Yang J, Xia J, Huang Q, Yin J, Xue J, Duan R, Tang B, Shen L. Identification of expanded repeats in NOTCH2NLC in neurodegenerative dementias. Neurobiol Aging 2020; 89:142.e1-142.e7. [PMID: 32081467 DOI: 10.1016/j.neurobiolaging.2020.01.010] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/31/2019] [Accepted: 01/20/2020] [Indexed: 02/06/2023]
Abstract
repeat expansion in the NOTCH2NLC gene has been identified to be associated with neuronal intranuclear inclusion disease (NIID). Given the clinical overlap of dementia-dominant NIID with neurodegenerative dementia, we therefore hypothesized that the NOTCH2NLC repeat expansion might also contribute to these diseases. In the present study, repeat primed polymerase chain reaction (RP-PCR) and GC-rich PCR were conducted to detect the repeats of NOTCH2NLC in a cohort of 1004 patients with neurodegenerative dementias from mainland China. As a result, 4 sporadic patients were found to carry the NOTCH2NLC repeats expansion, totally accounting for 0.4% of all dementia individuals, and the accurate repeated sizes were 110, 133,120 and 76 respectively. Of 4 mutation carriers, three and one were clinically diagnosed Alzheimer's disease (AD) and frontotemporal dementia (FTD) respectively. In addition, 3 out of them revealed leukoencephalopathy in T2-Flair imaging. This study revealed that although rare, the NOTCH2NLC repeat expansions may be associated with AD or FTD-like phenotype as well as leukoencephalopathy.
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Affiliation(s)
- Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yafang Zhou
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China; Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Ling Weng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Xinxin Liao
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China; Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yun Tian
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China; Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Lina Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xixi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhenhua Yuan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xuewen Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yaling Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xin Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qijie Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Chenping Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Lin Zhou
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China; Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Weiwei Zhang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Yu Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Wenping Gu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jun Yin
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jin Xue
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Ranhui Duan
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China; Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China.
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49
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Forrest SL, Kril JJ, Halliday GM. Cellular and regional vulnerability in frontotemporal tauopathies. Acta Neuropathol 2019; 138:705-727. [PMID: 31203391 DOI: 10.1007/s00401-019-02035-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 06/04/2019] [Accepted: 06/12/2019] [Indexed: 12/11/2022]
Abstract
The frontotemporal tauopathies all deposit abnormal tau protein aggregates, but often of only certain isoforms and in distinguishing pathologies of five main types (neuronal Pick bodies, neurofibrillary tangles, astrocytic plaques, tufted astrocytes, globular glial inclusions and argyrophilic grains). In those with isoform specific tau aggregates glial pathologies are substantial, even though there is limited evidence that these cells normally produce tau protein. This review will assess the differentiating features and clinicopathological correlations of the frontotemporal tauopathies, the genetic predisposition for these different pathologies, their neuroanatomical selectivity, current observations on how they spread through the brain, and any potential contributing cellular and molecular changes. The findings show that diverse clinical phenotypes relate most to the brain region degenerating rather than the type of pathology involved, that different regions on the MAPT gene and novel risk genes are associated with specific tau pathologies, that the 4-repeat glial tauopathies do not follow individual patterns of spreading as identified for neuronal pathologies, and that genetic and pathological data indicate that neuroinflammatory mechanisms are involved. Each pathological frontotemporal tauopathy subtype with their distinct pathological features differ substantially in the cell type affected, morphology, biochemical and anatomical distribution of inclusions, a fundamental concept central to future success in understanding the disease mechanisms required for developing therapeutic interventions. Tau directed therapies targeting genetic mechanisms, tau aggregation and pathological spread are being trialled, although biomarkers that differentiate these diseases are required. Suggested areas of future research to address the regional and cellular vulnerabilities in frontotemporal tauopathies are discussed.
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50
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Lleó A, Irwin DJ, Illán-Gala I, McMillan CT, Wolk DA, Lee EB, Van Deerlin VM, Shaw LM, Trojanowski JQ, Grossman M. A 2-Step Cerebrospinal Algorithm for the Selection of Frontotemporal Lobar Degeneration Subtypes. JAMA Neurol 2019; 75:738-745. [PMID: 29554190 DOI: 10.1001/jamaneurol.2018.0118] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance Cerebrospinal fluid (CSF) core Alzheimer disease (AD) biomarkers have shown an excellent capacity for the in vivo detection of AD. Previous studies have shown that CSF levels of phosphorylated tau (p-tau) also correlate with tau pathology in frontotemporal lobar degeneration (FTLD) after accounting for AD copathology. Objective To develop an algorithm based on core AD CSF measures to exclude cases with AD pathology and then differentiate between FTLD-tau and FTLD transactive response DNA-binding protein of approximately 43kDa (FTLD-TDP). Design, Setting, and Participants A case-control study at the University of Pennsylvania. Participants were selected from a database of 1796 patients included between 1992 and 2016 with different neurodegenerative diseases with available CSF. Three patient cohorts were included: a cohort of patients with sporadic, autopsy-confirmed FTLD and AD (n = 143); a cohort of patients with frontotemporal degeneration (FTD) with TDP-associated or tau-associated mutations (n = 60); and a living cohort of patients with syndromes highly predictive of FTLD (progressive supranuclear palsy and FTD-amyotrophic lateral sclerosis; n = 62). Main Outcomes and Measures Cerebrospinal fluid values of amyloid β1-42 (Aβ1-42), total tau (t-tau), and p-tau obtained using the INNO-BIA AlzBio3 (xMAP; Luminex) assay or INNOTEST enzyme-linked immunosorbent assay transformed using a previously validated algorithm. Sensitivities and specificities for differentiating AD from FTLD groups were calculated. Results This autopsy cohort included FTLD-tau (n = 27; mean [SD] age at onset, 60.8 [9.7] years), FTLD-TDP (n = 13; mean [SD] age at onset, 62.4 [8.5] years), AD (n = 89, mean [SD] age at onset, 66.5 [9.7] years); and mixed FTLD-AD (n = 14, mean [SD] age at onset, 70.6 [8.5] years).The p-tau/Aβ1-42 ratio showed an excellent diagnostic accuracy to exclude AD cases in the autopsy cohort with single neurodegenerative pathologies (area under the curve [AUC], 0.98; 95% CI, 0.96-1.00). Cerebrospinal fluid p-tau levels showed a good AUC (0.87; 95% CI, 0.73-1.00) for discriminating pure FTLD-TDP from pure FTLD-tau. The application of an algorithm using cutpoints of CSF p-tau to Aβ1-42 ratio and p-tau allowed a good discrimination of pure FTLD-TDP cases from the remaining FTLD-tau and mixed FTLD cases. The diagnostic value of this algorithm was confirmed in an independent cohort of living patients with progressive supranuclear palsy and FTD-amyotrophic lateral sclerosis (AUC, 0.9; 95% CI, 0.81-0.99). However, the algorithm was less useful in FTD cases carrying a pathogenic mutation (AUC, 0.58; 95% CI, 0.38-0.77) owing to elevated p-tau levels in TDP-associated mutation carriers. Conclusions and Relevance Alzheimer disease CSF core biomarkers can be used with high specificity for the in vivo identification of patients with pure FTLD-TDP and FTLD-tau when accounting for comorbid AD and genetic status.
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Affiliation(s)
- Alberto Lleó
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau, Hospital de Sant Pau, Universitat Autònoma de Barcelona and Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Barcelona, Spain
| | - David J Irwin
- Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Ignacio Illán-Gala
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau, Hospital de Sant Pau, Universitat Autònoma de Barcelona and Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Barcelona, Spain
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - David A Wolk
- Alzheimer's Disease Core Center, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Edward B Lee
- Alzheimer's Disease Core Center, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Translational Neuropathology Research Laboratory, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Vivianna M Van Deerlin
- Alzheimer's Disease Core Center, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Leslie M Shaw
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - John Q Trojanowski
- Alzheimer's Disease Core Center, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Alzheimer's Disease Core Center, University of Pennsylvania Perelman School of Medicine, Philadelphia
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