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Keeley O, Coyne AN. Nuclear and degradative functions of the ESCRT-III pathway: implications for neurodegenerative disease. Nucleus 2024; 15:2349085. [PMID: 38700207 PMCID: PMC11073439 DOI: 10.1080/19491034.2024.2349085] [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: 02/11/2024] [Accepted: 04/24/2024] [Indexed: 05/05/2024] Open
Abstract
The ESCRT machinery plays a pivotal role in membrane-remodeling events across multiple cellular processes including nuclear envelope repair and reformation, nuclear pore complex surveillance, endolysosomal trafficking, and neuronal pruning. Alterations in ESCRT-III functionality have been associated with neurodegenerative diseases including Frontotemporal Dementia (FTD), Amyotrophic Lateral Sclerosis (ALS), and Alzheimer's Disease (AD). In addition, mutations in specific ESCRT-III proteins have been identified in FTD/ALS. Thus, understanding how disruptions in the fundamental functions of this pathway and its individual protein components in the human central nervous system (CNS) may offer valuable insights into mechanisms underlying neurodegenerative disease pathogenesis and identification of potential therapeutic targets. In this review, we discuss ESCRT components, dynamics, and functions, with a focus on the ESCRT-III pathway. In addition, we explore the implications of altered ESCRT-III function for neurodegeneration with a primary emphasis on nuclear surveillance and endolysosomal trafficking within the CNS.
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Affiliation(s)
- Olivia Keeley
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alyssa N. Coyne
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Libri I, Altomare D, Bracca V, Rivolta J, Cantoni V, Mattioli I, Alberici A, Borroni B. Time to Diagnosis and Its Predictors in Syndromes Associated With Frontotemporal Lobar Degeneration. Am J Geriatr Psychiatry 2024; 32:1004-1013. [PMID: 38521735 DOI: 10.1016/j.jagp.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/29/2024] [Accepted: 03/02/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVES Frontotemporal Lobar Degeneration (FTLD) causes a heterogeneous group of neurodegenerative disorders with a wide range of clinical features. This might delay time to diagnosis. The aim of the present study is to establish time to diagnosis and its predictors in patients with FTLD-associated syndromes. DESIGN Retrospective study. SETTING Tertiary referral center. PARTICIPANTS A total of 1029 patients with FTLD-associated syndromes (age: 68 [61-73] years, females: 46%) from 1999 to 2023 were included in the present study. MEASUREMENTS Time to diagnosis was operationalized as the time between symptom onset and the diagnosis of a FTLD-associated syndrome. The associations between time to diagnosis and possible predictors (demographic and clinical variables) were investigated through univariate and multivariate linear models. RESULTS Median time to diagnosis was 2 [1-3] years. We observed that younger age at onset (β = -0.03, p <0.001), having worked as a professional rather than as a blue (β = 0.52, p = 0.024) or a white (β = 0.46, p = 0.050) collar, and having progressive supranuclear palsy (p <0.05) or the semantic variant of primary progressive aphasia (p <0.05) phenotypes were significantly associated with increased time to diagnosis. No significant changes of time to diagnosis have been observed over 20 years. CONCLUSIONS The identification of predictors of time to diagnosis might improve current diagnostic algorithms, resulting in a timely initiation of symptomatic treatments, early involvement in clinical trials, and more adequate public health policies for patients and their families.
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Affiliation(s)
- Ilenia Libri
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty (IL, IM, AA, BB), Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Daniele Altomare
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy
| | - Valeria Bracca
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy
| | - Jasmine Rivolta
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy
| | - Valentina Cantoni
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy
| | - Irene Mattioli
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty (IL, IM, AA, BB), Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Antonella Alberici
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty (IL, IM, AA, BB), Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences (IL,DA, VB, JR, VC, IM, AA, BB), University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty (IL, IM, AA, BB), Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy.
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Ulugut H, Bertoux M, Younes K, Montembeault M, Fumagalli GG, Samanci B, Illán-Gala I, Kuchcinski G, Leroy M, Thompson JC, Kobylecki C, Santillo AF, Englund E, Waldö ML, Riedl L, Van den Stock J, Vandenbulcke M, Vandenberghe R, Laforce R, Ducharme S, Pressman PS, Caramelli P, de Souza LC, Takada LT, Gurvit H, Hansson O, Diehl-Schmid J, Galimberti D, Pasquier F, Miller BL, Scheltens P, Ossenkoppele R, van der Flier WM, Barkhof F, Fox NC, Sturm VE, Miyagawa T, Whitwell JL, Boeve B, Rohrer JD, Gorno-Tempini ML, Josephs KA, Snowden J, Warren JD, Rankin KP, Pijnenburg YAL. Clinical recognition of frontotemporal dementia with right anterior temporal predominance: A multicenter retrospective cohort study. Alzheimers Dement 2024. [PMID: 38982845 DOI: 10.1002/alz.14076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 04/15/2024] [Accepted: 05/26/2024] [Indexed: 07/11/2024]
Abstract
INTRODUCTION Although frontotemporal dementia (FTD) with right anterior temporal lobe (RATL) predominance has been recognized, a uniform description of the syndrome is still missing. This multicenter study aims to establish a cohesive clinical phenotype. METHODS Retrospective clinical data from 18 centers across 12 countries yielded 360 FTD patients with predominant RATL atrophy through initial neuroimaging assessments. RESULTS Common symptoms included mental rigidity/preoccupations (78%), disinhibition/socially inappropriate behavior (74%), naming/word-finding difficulties (70%), memory deficits (67%), apathy (65%), loss of empathy (65%), and face-recognition deficits (60%). Real-life examples unveiled impairments regarding landmarks, smells, sounds, tastes, and bodily sensations (74%). Cognitive test scores indicated deficits in emotion, people, social interactions, and visual semantics however, lacked objective assessments for mental rigidity and preoccupations. DISCUSSION This study cumulates the largest RATL cohort unveiling unique RATL symptoms subdued in prior diagnostic guidelines. Our novel approach, combining real-life examples with cognitive tests, offers clinicians a comprehensive toolkit for managing these patients. HIGHLIGHTS This project is the first international collaboration and largest reported cohort. Further efforts are warranted for precise nomenclature reflecting neural mechanisms. Our results will serve as a clinical guideline for early and accurate diagnoses.
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Affiliation(s)
- Hulya Ulugut
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Maxime Bertoux
- Lille Neuroscience & Cognition U1172, Univ. Lille, Inserm, CHU Lille, LiCEND & Labex DistALZ, Lille, France
| | - Kyan Younes
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Stanford Neuroscience Health Center, Department of Neurology, Stanford University, Palo Alto, California, USA
| | - Maxime Montembeault
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Giorgio G Fumagalli
- Department of Neurology, University of Milan, Milan, Italy
- Università degli Studi di Trento | UNITN·CIMEC - Center for Mind/Brain Sciences, Mattarello, Trentino, Italy
| | - Bedia Samanci
- Department of Neurology, Istanbul University, Fatih, Istanbul, Turkey
| | - Ignacio Illán-Gala
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Gregory Kuchcinski
- Lille Neuroscience & Cognition U1172, Univ. Lille, Inserm, CHU Lille, LiCEND & Labex DistALZ, Lille, France
| | - Melanie Leroy
- Lille Neuroscience & Cognition U1172, Univ. Lille, Inserm, CHU Lille, LiCEND & Labex DistALZ, Lille, France
| | - Jennifer C Thompson
- Cerebral Function Unit, Greater Manchester Neuroscience Centre, Salford Royal NHS Foundation Trust, Salford, UK
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Salford, Manchester, UK
| | - Christopher Kobylecki
- Department of Neurology, Manchester Centre for Clinical Neurosciences NHS Foundation Trust, Salford, UK
- Division of Neuroscience, University of Manchester, Salford, Manchester, UK
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Elisabet Englund
- Division of Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Maria Landqvist Waldö
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Lina Riedl
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
| | - Jan Van den Stock
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium
| | - Rik Vandenberghe
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME), Département des Sciences Neurologiques, Laval University, Quebec City, Canada
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Peter S Pressman
- Anschutz Medical Campus, Behavioral Neurology Section, Department of Neurology, University of Colorado, Aurora, Colorado, USA
| | - Paulo Caramelli
- Behavioral and Cognitive Neurology Unit, Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Leonardo Cruz de Souza
- Behavioral and Cognitive Neurology Unit, Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Leonel T Takada
- Cognitive and Behavioral Unit, Hospital das Clinicas, Department of Neurology, University of São Paulo Medical School, Pacaembu, São Paulo, Brazil
| | - Hakan Gurvit
- Department of Neurology, Istanbul University, Fatih, Istanbul, Turkey
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Janine Diehl-Schmid
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
- Kbo-Inn-Salzach-Klinikum, Clinical Center for Psychiatry, Psychotherapy, Psychosomatic Medicine, Geriatrics and Neurology, Wasserburg/Inn, Germany
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Florence Pasquier
- Lille Neuroscience & Cognition U1172, Univ. Lille, Inserm, CHU Lille, LiCEND & Labex DistALZ, Lille, France
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Radiology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Alzheimer Center Amsterdam, Department of Radiology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
- UCL Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Virginia E Sturm
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Toji Miyagawa
- Department of Neurology, Mayo Clinic, Rochester, Rochester, Minnesota, USA
| | | | - Bradley Boeve
- Department of Neurology, Mayo Clinic, Rochester, Rochester, Minnesota, USA
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Dyslexia Center, University of California San Francisco, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Rochester, Minnesota, USA
| | - Julie Snowden
- Cerebral Function Unit, Greater Manchester Neuroscience Centre, Salford Royal NHS Foundation Trust, Salford, UK
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Salford, Manchester, UK
| | - Jason D Warren
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Katherine P Rankin
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan, Amsterdam, The Netherlands
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Urso D, Giannoni-Luza S, Mondello S, Logroscino G. Accuracy of clinical diagnosis of behavioural variant frontotemporal dementia: a protocol for a systematic review and meta-analysis. BMJ Open 2024; 14:e081935. [PMID: 38977370 PMCID: PMC11256028 DOI: 10.1136/bmjopen-2023-081935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 05/10/2024] [Indexed: 07/10/2024] Open
Abstract
INTRODUCTION Behavioural variant frontotemporal dementia (bvFTD) characterisation has evolved, but diagnosis remains challenging, relying on clinical diagnostic criteria that have undergone revisions over time. In this systematic review, our aims are to evaluate the accuracy of clinical diagnostic criteria for bvFTD by comparing them against pathological diagnoses and determine potential improvement in performance over the years. METHODS AND ANALYSIS This systematic review protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2015 guidelines and is registered on PROSPERO. We will search four databases (MEDLINE-PubMed, Web of Science, Embase and LILACS) using tailored search terms on May 1st 2024. Inclusion criteria encompass peer-reviewed articles reporting diagnostic parameters or raw data regarding bvFTD clinical diagnosis based on well-defined criteria. Screening and selection of relevant articles will be independently performed by two reviewers using the Covidence systematic review manager. Discrepancies will be resolved by a third researcher. Pathologic and genetic diagnosis will be the main gold standard, but we will also consider refined diagnoses after a follow-up period. Data will be collected on study design, baseline demographics and sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy. Study quality will be assessed with Quality Assessment of Diagnostic Accuracy Studies-2. If possible, we will conduct a meta-analysis using bivariate random-effect models. Subgroup analyses will consider study settings, gold standards, disease stages and bias. ETHICS AND DISSEMINATION Ethics approval will not be needed because the data used in this systematic review will be extracted from published studies. Findings will be disseminated through peer-reviewed publications and presentations at relevant scientific conferences, potentially enhancing our understanding of bvFTD clinical diagnosis reliability and guiding future criteria refinements. PROSPERO REGISTRATION NUMBER CRD42023389063.
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Affiliation(s)
- Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Puglia, Italy
- Department of Neurosciences, Institute of Psychiatry Psychology and Neuroscience, London, London, UK
| | - Stefano Giannoni-Luza
- Sensory-Motor Lab (SeMoLa), Department of Ophthalmology, Fondation Asile des Aveugles, Lausanne, Vaud, Switzerland
| | - Stefania Mondello
- Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, Messina, Sicily, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Puglia, Italy
- Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari, Bari, Italy
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Lindhout JE, Richard E, Hafdi M, Perry M, Moll van Charante E, van Gool WA. The Association of Ancillary Diagnostic Tests With Outcome in Dementia. J Am Med Dir Assoc 2024; 25:105040. [PMID: 38796169 DOI: 10.1016/j.jamda.2024.105040] [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: 09/01/2023] [Revised: 04/12/2024] [Accepted: 04/14/2024] [Indexed: 05/28/2024]
Abstract
OBJECTIVES Dementia is a clinical diagnosis without curative treatment. It is uncertain whether ancillary testing is beneficial for patients. This study investigates the association between use of diagnostic tests and time to poor outcome and health care costs. DESIGN Nationwide register-based cohort study using health care reimbursement data in the Netherlands. SETTING AND PARTICIPANTS All Dutch hospitals, including 13,312 patients diagnosed with dementia in 2018. METHODS Diagnostic testing included computed tomography or magnetic resonance imaging (CT/MRI), neuropsychological examination (NPE), nuclear imaging (PET/SPECT), electroencephalography (EEG), and cerebrospinal fluid (CSF) testing. We compared time to poor outcome (institutionalization or death) and costs per month from 2018 to 2021 between those who underwent a specific diagnostic test in previous years to controls, propensity score matched for age, sex, type of hospital, and comorbidity. RESULTS Time to poor outcome in those who underwent CT/MRI, EEG, or CSF testing was similar to those who did not, but was longer for those who underwent NPE. Time to poor outcome was shorter in patients who underwent PET/SPECT. Patients who underwent CSF testing or PET/SPECT had higher mean total health care costs as compared to controls (CSF €248, 95% CI 64-433; PET/SPECT: €315, 95% CI 179-451). NPE during the diagnostic trajectory was associated with lower total health care cost (-€127, 95% CI -62, -193). CONCLUSION AND IMPLICATIONS NPE was associated with longer time to poor outcome and lower health care costs, potentially due to confounding by indication. Patients who underwent neuroimaging (CT, MRI, SPECT/PET), CSF testing, or EEG for dementia diagnostics did not experience a longer time to poor outcome or lower health care costs. This emphasizes the importance of clinical examination as anchor for the diagnosis of dementia.
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Affiliation(s)
- Josephine E Lindhout
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, The Netherlands; Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
| | - Edo Richard
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, The Netherlands; Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Melanie Hafdi
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Marieke Perry
- Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Primary and Community Care, Donders Institute for Brain, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Eric Moll van Charante
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Willem A van Gool
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, The Netherlands; Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Tuovinen T, Häkli J, Rytty R, Krüger J, Korhonen V, Järvelä M, Helakari H, Kananen J, Nikkinen J, Veijola J, Remes AM, Kiviniemi V. The relative brain signal variability increases in the behavioral variant of frontotemporal dementia and Alzheimer's disease but not in schizophrenia. J Cereb Blood Flow Metab 2024:271678X241262583. [PMID: 38897598 DOI: 10.1177/0271678x241262583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Overlapping symptoms between Alzheimer's disease (AD), behavioral variant of frontotemporal dementia (bvFTD), and schizophrenia (SZ) can lead to misdiagnosis and delays in appropriate treatment, especially in cases of early-onset dementia. To determine the potential of brain signal variability as a diagnostic tool, we assessed the coefficient of variation of the BOLD signal (CVBOLD) in 234 participants spanning bvFTD (n = 53), AD (n = 17), SZ (n = 23), and controls (n = 141). All underwent functional and structural MRI scans. Data unveiled a notable increase in CVBOLD in bvFTD patients across both datasets (local and international, p < 0.05), revealing an association with clinical scores (CDR and MMSE, r = 0.46 and r = -0.48, p < 0.0001). While SZ and control group demonstrated no significant differences, a comparative analysis between AD and bvFTD patients spotlighted elevated CVBOLD in the frontopolar cortices for the latter (p < 0.05). Furthermore, CVBOLD not only presented excellent diagnostic accuracy for bvFTD (AUC 0.78-0.95) but also showcased longitudinal repeatability. During a one-year follow-up, the CVBOLD levels increased by an average of 35% in the bvFTD group, compared to a 2% increase in the control group (p < 0.05). Our findings suggest that CVBOLD holds promise as a biomarker for bvFTD, offering potential for monitoring disease progression and differentiating bvFTD from AD and SZ.
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Affiliation(s)
- Timo Tuovinen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Jani Häkli
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Riikka Rytty
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Neurology, Hyvinkää Hospital, The Wellbeing Services County of Central Uusimaa, Hyvinkää, Finland
| | - Johanna Krüger
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Neurology, Neurocenter, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Vesa Korhonen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Matti Järvelä
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Heta Helakari
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Janne Kananen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Clinical Neurophysiology, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Juha Nikkinen
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Department of Oncology and Radiotherapy, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Juha Veijola
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Research Unit of Clinical Medicine, Department of Psychiatry, University of Oulu, Oulu, Finland
- Department of Psychiatry, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Vesa Kiviniemi
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
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Imokawa T, Yokoyama K, Takahashi K, Oyama J, Tsuchiya J, Sanjo N, Tateishi U. Brain perfusion SPECT in dementia: what radiologists should know. Jpn J Radiol 2024:10.1007/s11604-024-01612-5. [PMID: 38888851 DOI: 10.1007/s11604-024-01612-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/03/2024] [Indexed: 06/20/2024]
Abstract
The findings of brain perfusion single-photon emission computed tomography (SPECT), which detects abnormalities often before changes manifest in morphological imaging, mainly reflect neurodegeneration and contribute to dementia evaluation. A major shift is about to occur in dementia practice to the approach of diagnosing based on biomarkers and treating with disease-modifying drugs. Accordingly, brain perfusion SPECT will be required to serve as a biomarker of neurodegeneration. Hypoperfusion in Alzheimer's disease (AD) is typically seen in the posterior cingulate cortex and precuneus early in the disease, followed by the temporoparietal cortices. On the other hand, atypical presentations of AD such as the posterior variant, logopenic variant, frontal variant, and corticobasal syndrome exhibit hypoperfusion in areas related to symptoms. Additionally, hypoperfusion especially in the precuneus and parietal association cortex can serve as a predictor of progression from mild cognitive impairment to AD. In dementia with Lewy bodies (DLB), the differentiating feature is the presence of hypoperfusion in the occipital lobes in addition to that observed in AD. Hypoperfusion of the occipital lobe is not a remarkable finding, as it is assumed to reflect functional loss due to impairment of the cholinergic and dopaminergic systems rather than degeneration per se. Moreover, the cingulate island sign reflects the degree of AD pathology comorbid in DLB. Frontotemporal dementia is characterized by regional hypoperfusion according to the three clinical types, and the background pathology is diverse. Idiopathic normal pressure hydrocephalus shows apparent hypoperfusion around the Sylvian fissure and corpus callosum and apparent hyperperfusion in high-convexity areas. The cortex or striatum with diffusion restriction on magnetic resonance imaging in prion diseases reflects spongiform degeneration and brain perfusion SPECT reveals hypoperfusion in the same areas. Brain perfusion SPECT findings in dementia should be carefully interpreted considering background pathology.
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Affiliation(s)
- Tomoki Imokawa
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
- Department of Radiology, Japanese Red Cross Omori Hospital, Ota-Ku, Tokyo, Japan
| | - Kota Yokoyama
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan.
| | - Kanae Takahashi
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Jun Oyama
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Junichi Tsuchiya
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Nobuo Sanjo
- Department of Neurology and Neurological Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Ukihide Tateishi
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
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8
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Tan LX, Oertel FC, Cheng A, Cobigo Y, Keihani A, Bennett DJ, Abdelhak A, Montes SC, Chapman M, Chen RY, Cordano C, Ward ME, Casaletto K, Kramer JH, Rosen HJ, Boxer A, Miller BL, Green AJ, Elahi FM, Lakkaraju A. Targeting complement C3a receptor resolves mitochondrial hyperfusion and subretinal microglial activation in progranulin-deficient frontotemporal dementia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.29.595206. [PMID: 38854134 PMCID: PMC11160746 DOI: 10.1101/2024.05.29.595206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Mutations in progranulin ( GRN ) cause frontotemporal dementia ( GRN -FTD) due to deficiency of the pleiotropic protein progranulin. GRN -FTD exhibits diverse pathologies including lysosome dysfunction, lipofuscinosis, microgliosis, and neuroinflammation. Yet, how progranulin loss causes disease remains unresolved. Here, we report that non-invasive retinal imaging of GRN -FTD patients revealed deficits in photoreceptors and the retinal pigment epithelium (RPE) that correlate with cognitive decline. Likewise, Grn -/- mice exhibit early RPE dysfunction, microglial activation, and subsequent photoreceptor loss. Super-resolution live imaging and transcriptomic analyses identified RPE mitochondria as an early driver of retinal dysfunction. Loss of mitochondrial fission protein 1 (MTFP1) in Grn -/- RPE causes mitochondrial hyperfusion and bioenergetic defects, leading to NF-kB-mediated activation of complement C3a-C3a receptor signaling, which drives further mitochondrial hyperfusion and retinal inflammation. C3aR antagonism restores RPE mitochondrial integrity and limits subretinal microglial activation. Our study identifies a previously unrecognized mechanism by which progranulin modulates mitochondrial integrity and complement-mediated neuroinflammation.
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9
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Benatar M, Wuu J, Huey ED, McMillan CT, Petersen RC, Postuma R, McHutchison C, Dratch L, Arias JJ, Crawley A, Houlden H, McDermott MP, Cai X, Thakur N, Boxer A, Rosen H, Boeve BF, Dacks P, Cosentino S, Abrahams S, Shneider N, Lingor P, Shefner J, Andersen PM, Al-Chalabi A, Turner MR. The Miami Framework for ALS and related neurodegenerative disorders: an integrated view of phenotype and biology. Nat Rev Neurol 2024; 20:364-376. [PMID: 38769202 PMCID: PMC11216694 DOI: 10.1038/s41582-024-00961-z] [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] [Accepted: 04/03/2024] [Indexed: 05/22/2024]
Abstract
Increasing appreciation of the phenotypic and biological overlap between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, alongside evolving biomarker evidence for a pre-symptomatic stage of disease and observations that this stage of disease might not always be clinically silent, is challenging traditional views of these disorders. These advances have highlighted the need to adapt ingrained notions of these clinical syndromes to include both the full phenotypic continuum - from clinically silent, to prodromal, to clinically manifest - and the expanded phenotypic spectrum that includes ALS, frontotemporal dementia and some movement disorders. The updated clinical paradigms should also align with our understanding of the biology of these disorders, reflected in measurable biomarkers. The Miami Framework, emerging from discussions at the Second International Pre-Symptomatic ALS Workshop in Miami (February 2023; a full list of attendees and their affiliations appears in the Supplementary Information) proposes a classification system built on: first, three parallel phenotypic axes - motor neuron, frontotemporal and extrapyramidal - rather than the unitary approach of combining all phenotypic elements into a single clinical entity; and second, biomarkers that reflect different aspects of the underlying pathology and biology of neurodegeneration. This framework decouples clinical syndromes from biomarker evidence of disease and builds on experiences from other neurodegenerative diseases to offer a unified approach to specifying the pleiotropic clinical manifestations of disease and describing the trajectory of emergent biomarkers.
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Affiliation(s)
- Michael Benatar
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Joanne Wuu
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Edward D Huey
- Department of Psychiatry and Human Behaviour, Alpert Medical School of Brown University, Providence, RI, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Ronald Postuma
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Caroline McHutchison
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jalayne J Arias
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | | | - Henry Houlden
- UCL Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Michael P McDermott
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Department of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Xueya Cai
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | | | - Adam Boxer
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Howard Rosen
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Penny Dacks
- Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | | | - Sharon Abrahams
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Neil Shneider
- Department of Neurology, Columbia University, New York, NY, USA
| | - Paul Lingor
- Department of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
| | - Jeremy Shefner
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Peter M Andersen
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- Department of Neurology, King's College Hospital, London, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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10
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Wang Z, Yang X, Li H, Wang S, Liu Z, Wang Y, Zhang X, Chen Y, Xu Q, Xu J, Wang Z, Wang J. Bidirectional two-sample Mendelian randomization analyses support causal relationships between structural and diffusion imaging-derived phenotypes and the risk of major neurodegenerative diseases. Transl Psychiatry 2024; 14:215. [PMID: 38806463 PMCID: PMC11133432 DOI: 10.1038/s41398-024-02939-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 05/10/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024] Open
Abstract
Previous observational investigations suggest that structural and diffusion imaging-derived phenotypes (IDPs) are associated with major neurodegenerative diseases; however, whether these associations are causal remains largely uncertain. Herein we conducted bidirectional two-sample Mendelian randomization analyses to infer the causal relationships between structural and diffusion IDPs and major neurodegenerative diseases using common genetic variants-single nucleotide polymorphism (SNPs) as instrumental variables. Summary statistics of genome-wide association study (GWAS) for structural and diffusion IDPs were obtained from 33,224 individuals in the UK Biobank cohort. Summary statistics of GWAS for seven major neurodegenerative diseases were obtained from the largest GWAS for each disease to date. The forward MR analyses identified significant or suggestively statistical causal effects of genetically predicted three structural IDPs on Alzheimer's disease (AD), frontotemporal dementia (FTD), and multiple sclerosis. For example, the reduction in the surface area of the left superior temporal gyrus was associated with a higher risk of AD. The reverse MR analyses identified significantly or suggestively statistical causal effects of genetically predicted AD, Lewy body dementia (LBD), and FTD on nine structural and diffusion IDPs. For example, LBD was associated with increased mean diffusivity in the right superior longitudinal fasciculus and AD was associated with decreased gray matter volume in the right ventral striatum. Our findings might contribute to shedding light on the prediction and therapeutic intervention for the major neurodegenerative diseases at the neuroimaging level.
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Affiliation(s)
- Zirui Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xuan Yang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
- Department of Radiology, Jining No.1 People's Hospital, Jining, Shandong, 272000, China
| | - Haonan Li
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Siqi Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Zhixuan Liu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Yaoyi Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xingyu Zhang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Yayuan Chen
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Qiang Xu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Jiayuan Xu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
| | - Zengguang Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
| | - Junping Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
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11
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Gerlach LR, Prabhakaran V, Antuono PG, Granadillo E. The use of an anterior-posterior atrophy index to distinguish Alzheimer's disease from frontotemporal disorders: an automated volumetric MRI Study. Acta Radiol 2024:2841851241254746. [PMID: 38803154 DOI: 10.1177/02841851241254746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) and frontotemporal dementia (FTD) require different treatments. Since clinical presentation can be nuanced, imaging biomarkers aid in diagnosis. Automated software such as Neuroreader (NR) provides volumetric imaging data, and indices between anterior and posterior brain areas have proven useful in distinguishing dementia subtypes in research cohorts. Existing indices are complex and require further validation in clinical settings. PURPOSE To provide initial validation for a simplified anterior-posterior index (API) from NR in distinguishing FTD and AD in a clinical cohort. MATERIAL AND METHODS A retrospective chart review was completed. We derived a simplified API: API = (logVA/VP-μ)/σ where V A is weighted volume of frontal and temporal lobes and V P of parietal and occipital lobes. μ and σ are the mean and standard deviation of logVA/VP computed for AD participants. Receiver operating characteristic (ROC) curves and regression analyses assessed the efficacy of the API versus brain areas in predicting diagnosis of AD versus FTD. RESULTS A total of 39 participants with FTD and 78 participants with AD were included. The API had an excellent performance in distinguishing AD from FTD with an area under the ROC curve of 0.82 and a positive association with diagnostic classification on logistic regression analysis (B = 1.491, P < 0.001). CONCLUSION The API successfully distinguished AD and FTD with excellent performance. The results provide preliminary validation of the API in a clinical setting.
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Affiliation(s)
- Leah R Gerlach
- Medical School, Medical College of Wisconsin, Milwaukee WI, USA
| | - Vivek Prabhakaran
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison WI, USA
| | - Piero G Antuono
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Elias Granadillo
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
- Institute for Clinical and Translational Research, University of Wisconsin - Madison, Madison WI, USA
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12
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Ramos-Campoy O, Comas-Albertí A, Hervás D, Borrego-Écija S, Bosch B, Sandoval J, Fort-Aznar L, Moreno-Izco F, Fernández-Villullas G, Molina-Porcel L, Balasa M, Lladó A, Sánchez-Valle R, Antonell A. Genome-Wide DNA Methylation in Early-Onset-Dementia Patients Brain Tissue and Lymphoblastoid Cell Lines. Int J Mol Sci 2024; 25:5445. [PMID: 38791483 PMCID: PMC11121630 DOI: 10.3390/ijms25105445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
Epigenetics, a potential underlying pathogenic mechanism of neurodegenerative diseases, has been in the scope of several studies performed so far. However, there is a gap in regard to analyzing different forms of early-onset dementia and the use of Lymphoblastoid cell lines (LCLs). We performed a genome-wide DNA methylation analysis on sixty-four samples (from the prefrontal cortex and LCLs) including those taken from patients with early-onset forms of Alzheimer's disease (AD) and frontotemporal dementia (FTD) and healthy controls. A beta regression model and adjusted p-values were used to obtain differentially methylated positions (DMPs) via pairwise comparisons. A correlation analysis of DMP levels with Clariom D array gene expression data from the same cohort was also performed. The results showed hypermethylation as the most frequent finding in both tissues studied in the patient groups. Biological significance analysis revealed common pathways altered in AD and FTD patients, affecting neuron development, metabolism, signal transduction, and immune system pathways. These alterations were also found in LCL samples, suggesting the epigenetic changes might not be limited to the central nervous system. In the brain, CpG methylation presented an inverse correlation with gene expression, while in LCLs, we observed mainly a positive correlation. This study enhances our understanding of the biological pathways that are associated with neurodegeneration, describes differential methylation patterns, and suggests LCLs are a potential cell model for studying neurodegenerative diseases in earlier clinical phases than brain tissue.
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Affiliation(s)
- Oscar Ramos-Campoy
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Aina Comas-Albertí
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - David Hervás
- Department of Applied Statistics and Operations Research and Quality, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Sergi Borrego-Écija
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Juan Sandoval
- Epigenomics Core Facility, Health Research Institute La Fe, 46026 Valencia, Spain
| | - Laura Fort-Aznar
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Fermín Moreno-Izco
- Cognitive Disorders Unit, Department of Neurology, Hospital Universitario Donostia, 20014 San Sebastian, Spain
- Instituto de Investigación Sanitaria Biogipuzkoa, Neurosciences Area, Group of Neurodegenerative Diseases, 20014 San Sebastian, Spain
| | - Guadalupe Fernández-Villullas
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Laura Molina-Porcel
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
- Neurological Tissue Bank, Biobank-Hospital Clinic-IDIBAPS, 08036 Barcelona, Spain
| | - Mircea Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
- Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Anna Antonell
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
- Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), 08036 Barcelona, Spain
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13
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Foxe D, Irish M, Carrick J, Cheung SC, Teng H, Burrell JR, Kessels RPC, Piguet O. Visuospatial working memory in behavioural variant frontotemporal dementia: a comparative analysis with Alzheimer's disease using the box task. J Neurol 2024:10.1007/s00415-024-12406-0. [PMID: 38713393 DOI: 10.1007/s00415-024-12406-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/08/2024]
Abstract
OBJECTIVE This study investigated the visuospatial working memory profiles of behavioural variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) using a novel computerised test of visuospatial working memory: the Box Task. METHODS Twenty-eight bvFTD and 28 AD patients, as well as 32 age-matched control participants were recruited. All participants completed the Box Task and conventional neuropsychological tests of working memory, episodic memory, and visuospatial function. RESULTS Both the bvFTD and AD groups exhibited significantly more Box Task between-search errors than the control group across all set sizes. Notably, the AD group demonstrated a significantly higher error rate compared to the bvFTD group. Regression analysis revealed that whilst episodic memory impairment significantly predicted Box Task error performance in AD, this was not the case for bvFTD. Additionally, a noticeable trend was observed for attention in predicting Box Task errors in both bvFTD and AD groups. The Box Task demonstrated high utility in differentiating between bvFTD and AD, with a decision tree correctly classifying 82.1% of bvFTD patients and 75% of AD patients. CONCLUSIONS Our findings reveal significant visuospatial working memory impairments in bvFTD, albeit of lesser severity compared to disease-matched AD patients. The Box Task, a novel measure of visuospatial working memory, proved effective in differentiating between bvFTD and AD, outperforming many traditional neuropsychological measures. Overall, our findings highlight the utility of assessing visuospatial memory when differentiating between bvFTD and AD in the clinical setting.
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Affiliation(s)
- David Foxe
- School of Psychology, The University of Sydney, Sydney, Australia.
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia.
| | - Muireann Irish
- School of Psychology, The University of Sydney, Sydney, Australia
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia
| | - James Carrick
- School of Psychology, The University of Sydney, Sydney, Australia
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia
| | - Sau Chi Cheung
- School of Psychology, The University of Sydney, Sydney, Australia
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia
- Neuropsychology Unit, Royal Prince Alfred Hospital, Sydney, Australia
| | - Her Teng
- School of Psychology, The University of Sydney, Sydney, Australia
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia
| | - James R Burrell
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia
- Concord Medical School, The University of Sydney, Sydney, Australia
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Vincent Van Gogh Institute for Psychiatry, Venray, The Netherlands
- Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
| | - Olivier Piguet
- School of Psychology, The University of Sydney, Sydney, Australia
- Brain and Mind Centre, The University of Sydney, 94 Mallett St, Sydney, NSW, 2006, Australia
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14
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Sevigny J, Uspenskaya O, Heckman LD, Wong LC, Hatch DA, Tewari A, Vandenberghe R, Irwin DJ, Saracino D, Le Ber I, Ahmed R, Rohrer JD, Boxer AL, Boland S, Sheehan P, Brandes A, Burstein SR, Shykind BM, Kamalakaran S, Daniels CW, David Litwack E, Mahoney E, Velaga J, McNamara I, Sondergaard P, Sajjad SA, Kobayashi YM, Abeliovich A, Hefti F. Progranulin AAV gene therapy for frontotemporal dementia: translational studies and phase 1/2 trial interim results. Nat Med 2024; 30:1406-1415. [PMID: 38745011 PMCID: PMC11108785 DOI: 10.1038/s41591-024-02973-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 04/03/2024] [Indexed: 05/16/2024]
Abstract
GRN mutations cause progranulin haploinsufficiency, which eventually leads to frontotemporal dementia (FTD-GRN). PR006 is an investigational gene therapy delivering the granulin gene (GRN) using an adeno-associated virus serotype 9 (AAV9) vector. In non-clinical studies, PR006 transduced neurons derived from induced pluripotent stem cells of patients with FTD-GRN, resulted in progranulin expression and improvement of lipofuscin, lysosomal and neuroinflammation pathologies in Grn-knockout mice, and was well tolerated except for minimal, asymptomatic dorsal root ganglionopathy in non-human primates. We initiated a first-in-human phase 1/2 open-label trial. Here we report results of a pre-specified interim analysis triggered with the last treated patient of the low-dose cohort (n = 6) reaching the 12-month follow-up timepoint. We also include preliminary data from the mid-dose cohort (n = 7). Primary endpoints were safety, immunogenicity and change in progranulin levels in cerebrospinal fluid (CSF) and blood. Secondary endpoints were Clinical Dementia Rating (CDR) plus National Alzheimer's Disease Coordinating Center (NACC) Frontotemporal Lobar Degeneration (FTLD) rating scale and levels of neurofilament light chain (NfL). One-time administration of PR006 into the cisterna magna was generally safe and well tolerated. All patients developed treatment-emergent anti-AAV9 antibodies in the CSF, but none developed anti-progranulin antibodies. CSF pleocytosis was the most common PR006-related adverse event. Twelve serious adverse events occurred, mostly unrelated to PR006. Deep vein thrombosis developed in three patients. There was one death (unrelated) occurring 18 months after treatment. CSF progranulin increased after PR006 treatment in all patients; blood progranulin increased in most patients but only transiently. NfL levels transiently increased after PR006 treatment, likely reflecting dorsal root ganglia toxicity. Progression rates, based on the CDR scale, were within the broad ranges reported for patients with FTD. These data provide preliminary insights into the safety and bioactivity of PR006. Longer follow-up and additional studies are needed to confirm the safety and potential efficacy of PR006. ClinicalTrials.gov identifier: NCT04408625 .
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Affiliation(s)
- Jeffrey Sevigny
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA.
| | - Olga Uspenskaya
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Laura Dean Heckman
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Li Chin Wong
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Daniel A Hatch
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Ambika Tewari
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Rik Vandenberghe
- Neurology Service, University Hospitals Leuven, Leuven, Belgium and Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - David J Irwin
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Dario Saracino
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau, ICM, Inserm, CNRS UMR 7225 APHP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau, ICM, Inserm, CNRS UMR 7225 APHP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Rebekah Ahmed
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Center, UCL Queen Square Institute of Neurology, London, UK
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Sebastian Boland
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Patricia Sheehan
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Alissa Brandes
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Suzanne R Burstein
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Benjamin M Shykind
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Sitharthan Kamalakaran
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Carter W Daniels
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - E David Litwack
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Erin Mahoney
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Jenny Velaga
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Ilan McNamara
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Patricia Sondergaard
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Syed A Sajjad
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Yvonne M Kobayashi
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Asa Abeliovich
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
| | - Franz Hefti
- Prevail Therapeutics, a wholly owned subsidiary of Eli Lilly and Company, New York, NY, USA
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15
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Athanasio BS, Oliveira ACDS, Pedrosa AL, Borges RS, Neto AOM, Oliveira RA, de Resende EDPF, de Moraes RF, Caramelli P, de Souza LC. The role of brain perfusion SPECT in the diagnosis of frontotemporal dementia: A systematic review. J Neuroimaging 2024; 34:308-319. [PMID: 38192155 DOI: 10.1111/jon.13189] [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: 08/01/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND AND PURPOSE Frontotemporal dementia (FTD) is the second most common cause of presenile dementia. The clinical distinction between FTD, Alzheimer's disease (AD), and other dementias is a clinical challenge. Brain perfusion SPECT may contribute to the diagnosis of FTD, but its value is unclear. METHODS We performed a systematic review to investigate the diagnostic accuracy of the brain SPECT in (1) distinguishing FTD from AD and other dementias and (2) differentiating FTD variants. RESULTS Overall, 391 studies were retrieved on the initial search and 35 studies composed the final selection, comprising a total number of 3142 participants of which 1029 had FTD. The sensitivity and the specificity for the differential diagnosis of FTD versus AD ranged from 56% to 88% and from 51% to 93%, respectively. SPECT is not superior to the clinical method of diagnosis, but the combination of SPECT with clinical data seems to improve the diagnostic accuracy. CONCLUSION Brain perfusion SPECT has a limited value in the diagnostic framework of FTD. SPECT can be performed when FDG-PET is not available. SPECT is recommended only for selected cases when the diagnosis is challenging using conventional methods.
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Affiliation(s)
- Bruno S Athanasio
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | | | - Ana Luísa Pedrosa
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Rafael S Borges
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Avelar O M Neto
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Rafael A Oliveira
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Elisa de Paula França de Resende
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
- Grupo de Neurologia Cognitiva e do Comportamento, Faculdade de Medicina da UFMG, Belo Horizonte, Brazil
| | - Renata Freire de Moraes
- Instituto Hermes Pardini, Belo Horizonte, Brazil
- Programa de Pós-Graduação em Neurociências, UFMG, Belo Horizonte, Brazil
| | - Paulo Caramelli
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
- Grupo de Neurologia Cognitiva e do Comportamento, Faculdade de Medicina da UFMG, Belo Horizonte, Brazil
- Programa de Pós-Graduação em Neurociências, UFMG, Belo Horizonte, Brazil
| | - Leonardo Cruz de Souza
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
- Grupo de Neurologia Cognitiva e do Comportamento, Faculdade de Medicina da UFMG, Belo Horizonte, Brazil
- Programa de Pós-Graduação em Neurociências, UFMG, Belo Horizonte, Brazil
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16
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Illán-Gala I, Lorca-Puls DL, Tee BL, Ezzes Z, de Leon J, Miller ZA, Rubio-Guerra S, Santos-Santos M, Gómez-Andrés D, Grinberg LT, Spina S, Kramer JH, Wauters LD, Henry ML, Boxer AL, Rosen HJ, Miller BL, Seeley WW, Mandelli ML, Gorno-Tempini ML. Clinical dimensions along the non-fluent variant primary progressive aphasia spectrum. Brain 2024; 147:1511-1525. [PMID: 37988272 PMCID: PMC10994525 DOI: 10.1093/brain/awad396] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/21/2023] [Accepted: 11/05/2023] [Indexed: 11/23/2023] Open
Abstract
It is debated whether primary progressive apraxia of speech (PPAOS) and progressive agrammatic aphasia (PAA) belong to the same clinical spectrum, traditionally termed non-fluent/agrammatic variant primary progressive aphasia (nfvPPA), or exist as two completely distinct syndromic entities with specific pathologic/prognostic correlates. We analysed speech, language and disease severity features in a comprehensive cohort of patients with progressive motor speech impairment and/or agrammatism to ascertain evidence of naturally occurring, clinically meaningful non-overlapping syndromic entities (e.g. PPAOS and PAA) in our data. We also assessed if data-driven latent clinical dimensions with aetiologic/prognostic value could be identified. We included 98 participants, 43 of whom had an autopsy-confirmed neuropathological diagnosis. Speech pathologists assessed motor speech features indicative of dysarthria and apraxia of speech (AOS). Quantitative expressive/receptive agrammatism measures were obtained and compared with healthy controls. Baseline and longitudinal disease severity was evaluated using the Clinical Dementia Rating Sum of Boxes (CDR-SB). We investigated the data's clustering tendency and cluster stability to form robust symptom clusters and employed principal component analysis to extract data-driven latent clinical dimensions (LCD). The longitudinal CDR-SB change was estimated using linear mixed-effects models. Of the participants included in this study, 93 conformed to previously reported clinical profiles (75 with AOS and agrammatism, 12 PPAOS and six PAA). The remaining five participants were characterized by non-fluent speech, executive dysfunction and dysarthria without apraxia of speech or frank agrammatism. No baseline clinical features differentiated between frontotemporal lobar degeneration neuropathological subgroups. The Hopkins statistic demonstrated a low cluster tendency in the entire sample (0.45 with values near 0.5 indicating random data). Cluster stability analyses showed that only two robust subgroups (differing in agrammatism, executive dysfunction and overall disease severity) could be identified. Three data-driven components accounted for 71% of the variance [(i) severity-agrammatism; (ii) prominent AOS; and (iii) prominent dysarthria]. None of these data-driven LCDs allowed an accurate prediction of neuropathology. The severity-agrammatism component was an independent predictor of a faster CDR-SB increase in all the participants. Higher dysarthria severity, reduced words per minute and expressive and receptive agrammatism severity at baseline independently predicted accelerated disease progression. Our findings indicate that PPAOS and PAA, rather than exist as completely distinct syndromic entities, constitute a clinical continuum. In our cohort, splitting the nfvPPA spectrum into separate clinical phenotypes did not improve clinical-pathological correlations, stressing the need for new biological markers and consensus regarding updated terminology and clinical classification.
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Affiliation(s)
- Ignacio Illán-Gala
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, 08025, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, 28029, Spain
- Global Brain Health Institute, University of California, San Francisco, CA 94143, USA
| | - Diego L Lorca-Puls
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
- Sección de Neurología, Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Concepción, 4070001, Chile
| | - Boon Lead Tee
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Zoe Ezzes
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Jessica de Leon
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Sara Rubio-Guerra
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, 08025, Barcelona, Spain
| | - Miguel Santos-Santos
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, 08025, Barcelona, Spain
| | - David Gómez-Andrés
- Vall d'Hebron Institut de Recerca (VHIR), Hospital Universitari Vall d'Hebron, 08035, Barcelona, Spain
| | - Lea T Grinberg
- Global Brain Health Institute, University of California, San Francisco, CA 94143, USA
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Salvatore Spina
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Lisa D Wauters
- Department of Communication Sciences and Disorders, University of Texas, Austin, TX 78712-0114, USA
| | - Maya L Henry
- Department of Communication Sciences and Disorders, University of Texas, Austin, TX 78712-0114, USA
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
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17
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Corriveau-Lecavalier N, Barnard LR, Botha H, Graff-Radford J, Ramanan VK, Lee J, Dicks E, Rademakers R, Boeve BF, Machulda MM, Fields JA, Dickson DW, Graff-Radford N, Knopman DS, Lowe VJ, Petersen RC, Jack CR, Jones DT. Uncovering the distinct macro-scale anatomy of dysexecutive and behavioural degenerative diseases. Brain 2024; 147:1483-1496. [PMID: 37831661 PMCID: PMC10994526 DOI: 10.1093/brain/awad356] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/28/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
There is a longstanding ambiguity regarding the clinical diagnosis of dementia syndromes predominantly targeting executive functions versus behaviour and personality. This is due to an incomplete understanding of the macro-scale anatomy underlying these symptomatologies, a partial overlap in clinical features and the fact that both phenotypes can emerge from the same pathology and vice versa. We collected data from a patient cohort of which 52 had dysexecutive Alzheimer's disease, 30 had behavioural variant frontotemporal dementia (bvFTD), seven met clinical criteria for bvFTD but had Alzheimer's disease pathology (behavioural Alzheimer's disease) and 28 had amnestic Alzheimer's disease. We first assessed group-wise differences in clinical and cognitive features and patterns of fluorodeoxyglucose (FDG) PET hypometabolism. We then performed a spectral decomposition of covariance between FDG-PET images to yield latent patterns of relative hypometabolism unbiased by diagnostic classification, which are referred to as 'eigenbrains'. These eigenbrains were subsequently linked to clinical and cognitive data and meta-analytic topics from a large external database of neuroimaging studies reflecting a wide range of mental functions. Finally, we performed a data-driven exploratory linear discriminant analysis to perform eigenbrain-based multiclass diagnostic predictions. Dysexecutive Alzheimer's disease and bvFTD patients were the youngest at symptom onset, followed by behavioural Alzheimer's disease, then amnestic Alzheimer's disease. Dysexecutive Alzheimer's disease patients had worse cognitive performance on nearly all cognitive domains compared with other groups, except verbal fluency which was equally impaired in dysexecutive Alzheimer's disease and bvFTD. Hypometabolism was observed in heteromodal cortices in dysexecutive Alzheimer's disease, temporo-parietal areas in amnestic Alzheimer's disease and frontotemporal areas in bvFTD and behavioural Alzheimer's disease. The unbiased spectral decomposition analysis revealed that relative hypometabolism in heteromodal cortices was associated with worse dysexecutive symptomatology and a lower likelihood of presenting with behaviour/personality problems, whereas relative hypometabolism in frontotemporal areas was associated with a higher likelihood of presenting with behaviour/personality problems but did not correlate with most cognitive measures. The linear discriminant analysis yielded an accuracy of 82.1% in predicting diagnostic category and did not misclassify any dysexecutive Alzheimer's disease patient for behavioural Alzheimer's disease and vice versa. Our results strongly suggest a double dissociation in that distinct macro-scale underpinnings underlie predominant dysexecutive versus personality/behavioural symptomatology in dementia syndromes. This has important implications for the implementation of criteria to diagnose and distinguish these diseases and supports the use of data-driven techniques to inform the classification of neurodegenerative diseases.
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Affiliation(s)
| | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Vijay K Ramanan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jeyeon Lee
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ellen Dicks
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
- Center for Molecular Neurology, Antwerp University, Antwerp, Belgium
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
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18
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Staffaroni AM, Clark AL, Taylor JC, Heuer HW, Sanderson-Cimino M, Wise AB, Dhanam S, Cobigo Y, Wolf A, Manoochehri M, Forsberg L, Mester C, Rankin KP, Appleby BS, Bayram E, Bozoki A, Clark D, Darby RR, Domoto-Reilly K, Fields JA, Galasko D, Geschwind D, Ghoshal N, Graff-Radford N, Grossman M, Hsiung GY, Huey ED, Jones DT, Lapid MI, Litvan I, Masdeu JC, Massimo L, Mendez MF, Miyagawa T, Pascual B, Pressman P, Ramanan VK, Ramos EM, Rascovsky K, Roberson ED, Tartaglia MC, Wong B, Miller BL, Kornak J, Kremers W, Hassenstab J, Kramer JH, Boeve BF, Rosen HJ, Boxer AL. Reliability and Validity of Smartphone Cognitive Testing for Frontotemporal Lobar Degeneration. JAMA Netw Open 2024; 7:e244266. [PMID: 38558141 PMCID: PMC10985553 DOI: 10.1001/jamanetworkopen.2024.4266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/02/2024] [Indexed: 04/04/2024] Open
Abstract
Importance Frontotemporal lobar degeneration (FTLD) is relatively rare, behavioral and motor symptoms increase travel burden, and standard neuropsychological tests are not sensitive to early-stage disease. Remote smartphone-based cognitive assessments could mitigate these barriers to trial recruitment and success, but no such tools are validated for FTLD. Objective To evaluate the reliability and validity of smartphone-based cognitive measures for remote FTLD evaluations. Design, Setting, and Participants In this cohort study conducted from January 10, 2019, to July 31, 2023, controls and participants with FTLD performed smartphone application (app)-based executive functioning tasks and an associative memory task 3 times over 2 weeks. Observational research participants were enrolled through 18 centers of a North American FTLD research consortium (ALLFTD) and were asked to complete the tests remotely using their own smartphones. Of 1163 eligible individuals (enrolled in parent studies), 360 were enrolled in the present study; 364 refused and 439 were excluded. Participants were divided into discovery (n = 258) and validation (n = 102) cohorts. Among 329 participants with data available on disease stage, 195 were asymptomatic or had preclinical FTLD (59.3%), 66 had prodromal FTLD (20.1%), and 68 had symptomatic FTLD (20.7%) with a range of clinical syndromes. Exposure Participants completed standard in-clinic measures and remotely administered ALLFTD mobile app (app) smartphone tests. Main Outcomes and Measures Internal consistency, test-retest reliability, association of smartphone tests with criterion standard clinical measures, and diagnostic accuracy. Results In the 360 participants (mean [SD] age, 54.0 [15.4] years; 209 [58.1%] women), smartphone tests showed moderate-to-excellent reliability (intraclass correlation coefficients, 0.77-0.95). Validity was supported by association of smartphones tests with disease severity (r range, 0.38-0.59), criterion-standard neuropsychological tests (r range, 0.40-0.66), and brain volume (standardized β range, 0.34-0.50). Smartphone tests accurately differentiated individuals with dementia from controls (area under the curve [AUC], 0.93 [95% CI, 0.90-0.96]) and were more sensitive to early symptoms (AUC, 0.82 [95% CI, 0.76-0.88]) than the Montreal Cognitive Assessment (AUC, 0.68 [95% CI, 0.59-0.78]) (z of comparison, -2.49 [95% CI, -0.19 to -0.02]; P = .01). Reliability and validity findings were highly similar in the discovery and validation cohorts. Preclinical participants who carried pathogenic variants performed significantly worse than noncarrier family controls on 3 app tasks (eg, 2-back β = -0.49 [95% CI, -0.72 to -0.25]; P < .001) but not a composite of traditional neuropsychological measures (β = -0.14 [95% CI, -0.42 to 0.14]; P = .32). Conclusions and Relevance The findings of this cohort study suggest that smartphones could offer a feasible, reliable, valid, and scalable solution for remote evaluations of FTLD and may improve early detection. Smartphone assessments should be considered as a complementary approach to traditional in-person trial designs. Future research should validate these results in diverse populations and evaluate the utility of these tests for longitudinal monitoring.
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Affiliation(s)
- Adam M. Staffaroni
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Annie L. Clark
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Jack C. Taylor
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Hilary W. Heuer
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Mark Sanderson-Cimino
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Amy B. Wise
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Sreya Dhanam
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Yann Cobigo
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Amy Wolf
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | | | - Leah Forsberg
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Carly Mester
- Department of Quantitative Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Katherine P. Rankin
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Brian S. Appleby
- Department of Neurology, Case Western Reserve University, Cleveland, Ohio
| | - Ece Bayram
- Department of Neurosciences, University of California, San Diego, La Jolla
| | - Andrea Bozoki
- Department of Radiology, University of North Carolina, Chapel Hill
| | - David Clark
- Department of Neurology, Indiana University, Indianapolis
| | - R. Ryan Darby
- Department of Neurology, Vanderbilt University, Nashville, Tennessee
| | | | - Julie A. Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla
| | - Daniel Geschwind
- Department of Neurology, Institute for Precision Health, University of California, Los Angeles
| | - Nupur Ghoshal
- Department of Neurology, Knight Alzheimer Disease Research Center, Washington University, Saint Louis, Missouri
- Department of Psychiatry, Knight Alzheimer Disease Research Center, Washington University, Saint Louis, Missouri
| | | | - Murray Grossman
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Ging-Yuek Hsiung
- Division of Neurology, University of British Columbia, Musqueam, Squamish & Tsleil-Waututh Traditional Territory, Vancouver, Canada
| | - Edward D. Huey
- Department of Neurology, Columbia University, New York, New York
| | - David T. Jones
- Department of Quantitative Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Maria I. Lapid
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota
| | - Irene Litvan
- Department of Neurosciences, University of California, San Diego, La Jolla
| | - Joseph C. Masdeu
- Department of Neurology, Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston Methodist, Houston, Texas
| | - Lauren Massimo
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Mario F. Mendez
- Department of Neurology, UCLA (University of California, Los Angeles)
| | - Toji Miyagawa
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Belen Pascual
- Department of Neurology, Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston Methodist, Houston, Texas
| | | | | | | | - Katya Rascovsky
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | | | - M. Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Bonnie Wong
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Walter Kremers
- Department of Quantitative Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Jason Hassenstab
- Department of Neurology, Knight Alzheimer Disease Research Center, Washington University, Saint Louis, Missouri
- Department of Psychological & Brain Sciences, Washington University, Saint Louis, Missouri
| | - Joel H. Kramer
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | | | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Adam L. Boxer
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
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19
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Kumfor F, Wei G, Ries N, Bennett H, D'Mello M, Kaizik C, Piguet O, Hodges JR. Examining the propensity and nature of criminal risk behaviours in frontotemporal dementia syndromes and Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12577. [PMID: 38605995 PMCID: PMC11007792 DOI: 10.1002/dad2.12577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 02/14/2024] [Accepted: 02/18/2024] [Indexed: 04/13/2024]
Abstract
INTRODUCTION Some people with dementia develop changes in behaviour and cognition that may lead to interactions with police or the legal system. However, large, prospective case-control studies examining these behaviours are lacking. METHODS One hundred and forty-four people with dementia and 53 controls completed the Misdemeanours and Transgressions Screener. RESULTS Criminal risk behaviours were reported in: 65.6% of behavioural-variant frontotemporal dementia, 46.2% of right-lateralised semantic dementia, and 27.0% of Alzheimer's disease patients. In 19.1% of patients these behaviours led to contact with police or authority figures. Compared to controls, people with dementia showed higher rates of physical assault (p = 0.024), financial/professional recklessness (p = 0.009), and inappropriate behaviours (p = 0.052). DISCUSSION Criminal risk behaviours are common across dementia subtypes and may be one of the first clinical signs of frontotemporal dementia. Further research to understand how to balance risk minimisation with an individual's liberties as well as the inappropriate criminalisation of people with dementia is needed. Highlights The Misdemeanours and Transgressions Screener is a new tool to assess criminal risk behaviours.Forty-seven percent of patients with dementia show criminal risk behaviour after dementia onset.Behaviours included verbal abuse, traffic violations, physical assault.New onset of criminal risk behaviours >50 years is a clinical sign for frontotemporal dementia.
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Affiliation(s)
- Fiona Kumfor
- School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Grace Wei
- School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Nola Ries
- Law Health Justice Research CentreUniversity of Technology SydneyUltimoNew South WalesAustralia
| | - Hayley Bennett
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
| | - Mirelle D'Mello
- School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Cassandra Kaizik
- School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Olivier Piguet
- School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - John R. Hodges
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Central Clinical SchoolUniversity of SydneySydneyNew South WalesAustralia
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20
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Pak V, Adewale Q, Bzdok D, Dadar M, Zeighami Y, Iturria-Medina Y. Distinctive whole-brain cell types predict tissue damage patterns in thirteen neurodegenerative conditions. eLife 2024; 12:RP89368. [PMID: 38512130 PMCID: PMC10957173 DOI: 10.7554/elife.89368] [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] [Indexed: 03/22/2024] Open
Abstract
For over a century, brain research narrative has mainly centered on neuron cells. Accordingly, most neurodegenerative studies focus on neuronal dysfunction and their selective vulnerability, while we lack comprehensive analyses of other major cell types' contribution. By unifying spatial gene expression, structural MRI, and cell deconvolution, here we describe how the human brain distribution of canonical cell types extensively predicts tissue damage in 13 neurodegenerative conditions, including early- and late-onset Alzheimer's disease, Parkinson's disease, dementia with Lewy bodies, amyotrophic lateral sclerosis, mutations in presenilin-1, and 3 clinical variants of frontotemporal lobar degeneration (behavioral variant, semantic and non-fluent primary progressive aphasia) along with associated three-repeat and four-repeat tauopathies and TDP43 proteinopathies types A and C. We reconstructed comprehensive whole-brain reference maps of cellular abundance for six major cell types and identified characteristic axes of spatial overlapping with atrophy. Our results support the strong mediating role of non-neuronal cells, primarily microglia and astrocytes, in spatial vulnerability to tissue loss in neurodegeneration, with distinct and shared across-disorder pathomechanisms. These observations provide critical insights into the multicellular pathophysiology underlying spatiotemporal advance in neurodegeneration. Notably, they also emphasize the need to exceed the current neuro-centric view of brain diseases, supporting the imperative for cell-specific therapeutic targets in neurodegeneration.
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Affiliation(s)
- Veronika Pak
- Department of Neurology and Neurosurgery, McGill UniversityMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
- Ludmer Centre for Neuroinformatics & Mental HealthMontrealCanada
| | - Quadri Adewale
- Department of Neurology and Neurosurgery, McGill UniversityMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
- Ludmer Centre for Neuroinformatics & Mental HealthMontrealCanada
| | - Danilo Bzdok
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
- Department of Biomedical Engineering, McGill UniversityMontrealCanada
- School of Computer Science, McGill UniversityMontrealCanada
- Mila – Quebec Artificial Intelligence InstituteMontrealCanada
| | | | | | - Yasser Iturria-Medina
- Department of Neurology and Neurosurgery, McGill UniversityMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
- Ludmer Centre for Neuroinformatics & Mental HealthMontrealCanada
- Department of Biomedical Engineering, McGill UniversityMontrealCanada
- McGill Centre for Studies in AgingMontrealCanada
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21
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Kertesz A, Finger E, Munoz DG. Progress in Primary Progressive Aphasia: A Review. Cogn Behav Neurol 2024; 37:3-12. [PMID: 38498721 DOI: 10.1097/wnn.0000000000000365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/07/2023] [Indexed: 03/20/2024]
Abstract
We present a review of the definition, classification, and epidemiology of primary progressive aphasia (PPA); an update of the taxonomy of the clinical syndrome of PPA; and recent advances in the neuroanatomy, pathology, and genetics of PPA, as well as the search for biomarkers and treatment. PPA studies that have contributed to concepts of language organization and disease propagation in neurodegeneration are also reviewed. In addition, the issues of heterogeneity versus the relationships of the clinical phenotypes and their relationship to biological, pathological, and genetic advances are discussed, as is PPA's relationship to other conditions such as frontotemporal dementia, corticobasal degeneration, progressive supranuclear palsy, Pick disease, and amyotrophic lateral sclerosis. Arguments are presented in favor of considering these conditions as one entity versus many.
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Affiliation(s)
- Andrew Kertesz
- Department of Clinical Neurosciences, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - Elizabeth Finger
- Department of Clinical Neurosciences, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - David G Munoz
- Department of Pathology, St Michael's Hospital, Toronto, Ontario, Canada
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22
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Hsiao-Nakamoto J, Chiu CL, VandeVrede L, Ravi R, Vandenberg B, De Groot J, Tsogtbaatar B, Fang M, Auger P, Gould NS, Marchioni F, Powers CA, Davis SS, Suh JH, Alkabsh J, Heuer HW, Lago AL, Scearce-Levie K, Seeley WW, Boeve BF, Rosen HJ, Berger A, Tsai R, Di Paolo G, Boxer AL, Bhalla A, Huang F. Alterations in Lysosomal, Glial and Neurodegenerative Biomarkers in Patients with Sporadic and Genetic Forms of Frontotemporal Dementia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.09.579529. [PMID: 38405775 PMCID: PMC10888909 DOI: 10.1101/2024.02.09.579529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Background Frontotemporal dementia (FTD) is the most common cause of early-onset dementia with 10-20% of cases caused by mutations in one of three genes: GRN, C9orf72, or MAPT. To effectively develop therapeutics for FTD, the identification and characterization of biomarkers to understand disease pathogenesis and evaluate the impact of specific therapeutic strategies on the target biology as well as the underlying disease pathology are essential. Moreover, tracking the longitudinal changes of these biomarkers throughout disease progression is crucial to discern their correlation with clinical manifestations for potential prognostic usage. Methods We conducted a comprehensive investigation of biomarkers indicative of lysosomal biology, glial cell activation, synaptic and neuronal health in cerebrospinal fluid (CSF) and plasma from non-carrier controls, sporadic FTD (symptomatic non-carriers) and symptomatic carriers of mutations in GRN, C9orf72, or MAPT, as well as asymptomatic GRN mutation carriers. We also assessed the longitudinal changes of biomarkers in GRN mutation carriers. Furthermore, we examined biomarker levels in disease impacted brain regions including middle temporal gyrus (MTG) and superior frontal gyrus (SFG) and disease-unaffected inferior occipital gyrus (IOG) from sporadic FTD and symptomatic GRN carriers. Results We confirmed glucosylsphingosine (GlcSph), a lysosomal biomarker regulated by progranulin, was elevated in the plasma from GRN mutation carriers, both symptomatic and asymptomatic. GlcSph and other lysosomal biomarkers such as ganglioside GM2 and globoside GB3 were increased in the disease affected SFG and MTG regions from sporadic FTD and symptomatic GRN mutation carriers, but not in the IOG, compared to the same brain regions from controls. The glial biomarkers GFAP in plasma and YKL40 in CSF were elevated in asymptomatic GRN carriers, and all symptomatic groups, except the symptomatic C9orf72 mutation group. YKL40 was also increased in SFG and MTG regions from sporadic FTD and symptomatic GRN mutation carriers. Neuronal injury and degeneration biomarkers NfL in CSF and plasma, and UCHL1 in CSF were elevated in patients with all forms of FTD. Synaptic biomarkers NPTXR, NPTX1/2, and VGF were reduced in CSF from patients with all forms of FTD, with the most pronounced reductions observed in symptomatic MAPT mutation carriers. Furthermore, we demonstrated plasma NfL was significantly positively correlated with disease severity as measured by CDR+NACC FTLD SB in genetic forms of FTD and CSF NPTXR was significantly negatively correlated with CDR+NACC FTLD SB in symptomatic GRN and MAPT mutation carriers. Conclusions In conclusion, our comprehensive investigation replicated alterations in biofluid biomarkers indicative of lysosomal function, glial activation, synaptic and neuronal health across sporadic and genetic forms of FTD and unveiled novel insights into the dysregulation of these biomarkers within brain tissues from patients with GRN mutations. The observed correlations between biomarkers and disease severity open promising avenues for prognostic applications and for indicators of drug efficacy in clinical trials. Our data also implicated a complicated relationship between biofluid and tissue biomarker changes and future investigations should delve into the mechanistic underpinnings of these biomarkers, which will serve as a foundation for the development of targeted therapeutics for FTD.
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Affiliation(s)
- Jennifer Hsiao-Nakamoto
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
| | - Chi-Lu Chiu
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
| | - Lawren VandeVrede
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Ritesh Ravi
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Brittany Vandenberg
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Brittany Vandenberg, Washington State University, Pullman, WA 99164, USA
| | - Jack De Groot
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Jack DeGroot: Prime Medicine Inc., Cambridge, MA 02139, USA
| | | | - Meng Fang
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Paul Auger
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Paul Auger: Nurix Therapeutics, San Francisco, CA 94158, USA
| | - Neal S Gould
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Filippo Marchioni
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Casey A Powers
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Casey A. Powers: Stanford University, Stanford, CA 94305, USA
| | - Sonnet S Davis
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Jung H Suh
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Jamal Alkabsh
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Hilary W Heuer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Argentina Lario Lago
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Kimberly Scearce-Levie
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Kimberly Scearce-Levie: Cajal Neuroscience, Seattle, WA 98109, USA
| | - William W Seeley
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Amy Berger
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Richard Tsai
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Gilbert Di Paolo
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
- These authors contributed equally
| | - Akhil Bhalla
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
| | - Fen Huang
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
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23
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Fukatsu S, Okawa M, Okabe M, Cho M, Isogai M, Yokoi T, Shirai R, Oizumi H, Yamamoto M, Ohbuchi K, Miyamoto Y, Yamauchi J. Modulating Golgi Stress Signaling Ameliorates Cell Morphological Phenotypes Induced by CHMP2B with Frontotemporal Dementia-Associated p.Asp148Tyr. Curr Issues Mol Biol 2024; 46:1398-1412. [PMID: 38392208 PMCID: PMC10888485 DOI: 10.3390/cimb46020090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/30/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
Some charged multivesicular body protein 2B (CHMP2B) mutations are associated with autosomal-dominant neurodegenerative frontotemporal dementia and/or amyotrophic lateral sclerosis type 7 (FTDALS7). The main aim of this study is to clarify the relationship between the expression of mutated CHMP2B protein displaying FTD symptoms and defective neuronal differentiation. First, we illustrate that the expression of CHMP2B with the Asp148Tyr (D148Y) mutation, which preferentially displays FTD phenotypes, blunts neurite process elongation in rat primary cortical neurons. Similar results were observed in the N1E-115 cell line, a model that undergoes neurite elongation. Second, these effects were also accompanied by changes in neuronal differentiation marker protein expression. Third, wild-type CHMP2B protein was indeed localized in the endosomal sorting complexes required to transport (ESCRT)-like structures throughout the cytoplasm. In contrast, CHMP2B with the D148Y mutation exhibited aggregation-like structures and accumulated in the Golgi body. Fourth, among currently known Golgi stress regulators, the expression levels of Hsp47, which has protective effects on the Golgi body, were decreased in cells expressing CHMP2B with the D148Y mutation. Fifth, Arf4, another Golgi stress-signaling molecule, was increased in mutant-expressing cells. Finally, when transfecting Hsp47 or knocking down Arf4 with small interfering (si)RNA, cellular phenotypes in mutant-expressing cells were recovered. These results suggest that CHMP2B with the D148Y mutation, acting through Golgi stress signaling, is negatively involved in the regulation of neuronal cell morphological differentiation, providing evidence that a molecule controlling Golgi stress may be one of the potential FTD therapeutic targets at the molecular and cellular levels.
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Affiliation(s)
- Shoya Fukatsu
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Maho Okawa
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Miyu Okabe
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Mizuka Cho
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Mikinori Isogai
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Takanori Yokoi
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Remina Shirai
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
| | - Hiroaki Oizumi
- Tsumura Research Laboratories, Tsumura & Co., Inashiki 200-1192, Japan
| | - Masahiro Yamamoto
- Tsumura Research Laboratories, Tsumura & Co., Inashiki 200-1192, Japan
| | - Katsuya Ohbuchi
- Tsumura Research Laboratories, Tsumura & Co., Inashiki 200-1192, Japan
| | - Yuki Miyamoto
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
- Laboratory of Molecular Pharmacology, National Research Institute for Child Health and Development, Setagaya, Tokyo 157-8535, Japan
| | - Junji Yamauchi
- Laboratory of Molecular Neurology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan
- Laboratory of Molecular Pharmacology, National Research Institute for Child Health and Development, Setagaya, Tokyo 157-8535, Japan
- Diabetic Neuropathy Project, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo 156-8506, Japan
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24
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Cuoco S, Blundo C, Ricci M, Cappiello A, Bisogno R, Carotenuto I, Avallone AR, Erro R, Pellecchia MT, Amboni M, Barone P, Picillo M. Psychometric properties of the Caregiver's inventory neuropsychological diagnosis dementia (CINDD) in mild cognitive impairment and dementia. J Neural Transm (Vienna) 2024; 131:173-180. [PMID: 38200268 PMCID: PMC10791830 DOI: 10.1007/s00702-023-02728-0] [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: 11/03/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVES The Caregiver's Inventory Neuropsychological Diagnosis Dementia (CINDD) is an easy tool designed to quantify cognitive, behavioural and functional deficits of patients with cognitive impairment. Aim of the present study was to analyse the psychometric properties of the CINDD in Mild Cognitive Impairment (MCI) and Dementia (D). DESIGN, SETTING AND PARTICIPANTS The CINDD, composed by 9 sub-domains, was administered to fifty-six caregivers of patients with different types of dementia (D) and 44 caregivers of patients with MCI. All patients underwent an extensive neuropsychological assessment, the Neuropsychiatric Inventory (NPI) and functional autonomy scales. The reliability, convergent construct validity and possible cut-off of CINND were measured by Cronbach's alpha (α), Pearson's correlation and ROC analysis, respectively. RESULTS The D and MCI patients differed only for age (p=0.006). The internal consistency of CINDD was high (α= 0.969). The α-value for each CINDD domain was considered acceptable, except the mood domain (α=0.209). The CINDD total score correlated with cognitive screening tests; each domain of the CINDD correlated with the corresponding score from either tests or NPI (p<0.05), except for visuo-spatial perception skills and apathy. A screening cut-off equal to 59, can be used discriminate D from MCI (Sensitivity=0.70, Specificity=0.57). CONCLUSION The CINDD is a feasible, accurate and reliable tool for the assessment of cognitive and behavioural difficulties in patients with different degree of cognitive impairment. It may be used to quantify and monitor caregiver-reported ecological data in both clinical and research settings.
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Affiliation(s)
- Sofia Cuoco
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Carlo Blundo
- Department of Neuroscience, Center of Cognitive Disorders and Dementia, San Camillo Hospital, Rome, Italy
| | - Monica Ricci
- Department of Neuroscience, Center of Cognitive Disorders and Dementia, San Camillo Hospital, Rome, Italy
| | - Arianna Cappiello
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Rossella Bisogno
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Immacolata Carotenuto
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Anna Rosa Avallone
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Roberto Erro
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Maria Teresa Pellecchia
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Marianna Amboni
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
- IDC Hermitage-Capodimonte, Naples, Italy
| | - Paolo Barone
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy
| | - Marina Picillo
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience section, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Via Allende, Baronissi, 84081, Salerno, Italy.
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25
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Corriveau-Lecavalier N, Tosakulwong N, Lesnick TG, Fought AJ, Reid RI, Schwarz CG, Senjem ML, Jack CR, Jones DT, Vemuri P, Rademakers R, Ramos EM, Geschwind DH, Knopman DS, Botha H, Savica R, Graff-Radford J, Ramanan VK, Fields JA, Graff-Radford N, Wszolek Z, Forsberg LK, Petersen RC, Heuer HW, Boxer AL, Rosen HJ, Boeve BF, Kantarci K. Neurite-based white matter alterations in MAPT mutation carriers: A multi-shell diffusion MRI study in the ALLFTD consortium. Neurobiol Aging 2024; 134:135-145. [PMID: 38091751 PMCID: PMC10872472 DOI: 10.1016/j.neurobiolaging.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/28/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
We assessed white matter (WM) integrity in MAPT mutation carriers (16 asymptomatic, 5 symptomatic) compared to 31 non-carrier family controls using diffusion tensor imaging (DTI) (fractional anisotropy; FA, mean diffusivity; MD) and neurite orientation dispersion and density imaging (NODDI) (neurite density index; NDI, orientation and dispersion index; ODI). Linear mixed-effects models accounting for age and family relatedness revealed alterations across DTI and NODDI metrics in all mutation carriers and in symptomatic carriers, with the most significant differences involving fronto-temporal WM tracts. Asymptomatic carriers showed higher entorhinal MD and lower cingulum FA and patterns of higher ODI mostly involving temporal areas and long association and projections fibers. Regression models between estimated time to or time from disease and DTI and NODDI metrics in key regions (amygdala, cingulum, entorhinal, inferior temporal, uncinate fasciculus) in all carriers showed increasing abnormalities with estimated time to or time from disease onset, with FA and NDI showing the strongest relationships. Neurite-based metrics, particularly ODI, appear to be particularly sensitive to early WM involvement in asymptomatic carriers.
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Affiliation(s)
- Nick Corriveau-Lecavalier
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Timothy G Lesnick
- Departmenf of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Angela J Fought
- Departmenf of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Robert I Reid
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic Jacksonville, FL, USA; Center for Molecular Neurology, Antwerp University, Belgium
| | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Hilary W Heuer
- Department of Neurology, University of California San Francisco, CA, USA
| | - Adam L Boxer
- Department of Neurology, University of California San Francisco, CA, USA
| | - Howard J Rosen
- Department of Neurology, University of California San Francisco, CA, USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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26
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Di Napoli J, Arighi A, Conte G, Carandini T, Sacchi L, Arcaro M, Fenoglio C, Sorrentino F, Mercurio M, Pietroboni AM, Giardinieri G, Triulzi F, Galimberti D, Scarpini E, Fumagalli GG. Predominant right temporal lobe atrophy: Clinical, neuropsychological and structural differences based on amyloid status. Eur J Neurol 2024; 31:e16124. [PMID: 37933893 DOI: 10.1111/ene.16124] [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: 05/31/2023] [Revised: 10/06/2023] [Accepted: 10/17/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Predominant right temporal atrophy is a radiological sign usually associated with frontotemporal dementia but this sign can also be present in Alzheimer's disease. Given the overlap of clinical symptoms between the two conditions, it is important to know which characteristics allow them to be differentiated. OBJECTIVES To compare clinical, neuropsychological and structural magnetic resonance imaging (MRI) data of subjects with prominent right anterior temporal atrophy, depending on the status of amyloid biomarkers. METHODS Among patients followed in the dementia center of Ospedale Maggiore Policlinico, subjects with right anterior temporal atrophy, defined as grade 3 or 4 on the corresponding visual rating scale, were identified. Only subjects with both an MRI scan and amyloid status available were considered. For selected subjects, data were extracted from clinical and neuropsychological records at initial presentation and at last available follow-up. Two raters applied a protocol of eight visual rating scales to compare brain atrophy and white matter hyperintensities. RESULTS Of 497 subjects, 17 fulfilled the inclusion criteria: 7 amyloid-positive and 10 amyloid-negative. At initial presentation, executive dysfunction and topographical disorientation were more common in amyloid-positive patients. At follow-up, behavioral symptoms, such as social awkwardness and compulsive attitude, were more frequent in the amyloid-negative patients. Amyloid-positive patients presented an overall worse neuropsychological performance, especially in the language and visuospatial domain, and had higher scores on the right anterior cingulate visual rating scale. CONCLUSION Patients with predominant right temporal atrophy showed clinical, neuropsychological and radiological differences, depending on the status of amyloid biomarkers.
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Affiliation(s)
- Jacopo Di Napoli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Andrea Arighi
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Giorgio Conte
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Tiziana Carandini
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Luca Sacchi
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Marina Arcaro
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Chiara Fenoglio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Federica Sorrentino
- Department of Biomedical Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Matteo Mercurio
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Anna M Pietroboni
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Giulia Giardinieri
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Fabio Triulzi
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Galimberti
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
- Department of Biomedical Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Elio Scarpini
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Giorgio G Fumagalli
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
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Chen K, Gao T, Liu Y, Zhu K, Wang T, Zeng P. Identifying risk loci for FTD and shared genetic component with ALS: A large-scale multitrait association analysis. Neurobiol Aging 2024; 134:28-39. [PMID: 37979250 DOI: 10.1016/j.neurobiolaging.2023.09.017] [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: 07/18/2023] [Revised: 09/18/2023] [Accepted: 09/25/2023] [Indexed: 11/20/2023]
Abstract
Current genome-wide association studies of frontotemporal dementia (FTD) are underpowered due to limited samples. Further, common genetic etiologies between FTD and amyotrophic lateral sclerosis (ALS) remain unknown. Using the largest summary statistics of FTD (3526 cases and 9402 controls) and ALS (27,205 cases and 110,881 controls), we found a significant genetic correlation between them (rˆg = 0.637, P = 0.032) and identified 190 FTD-related variants within 5 loci (3p22.1, 5q35.1, 9p21.2, 19p13.11, and 20q13.13). Among these, ALS and FTD had causal variants in 9p21.2 and 19p13.11. Moreover, MOBP (3p22.1), C9orf72 (9p21.2), MOB3B (9p21.2), UNC13A (19p13.11), SLC9A8 (20q13.13), SNAI1 (20q13.13), and SPATA2 (20q13.13) were discovered by both SNP- and gene-level analyses, which together discovered 15 FTD-associated genes, with 10 not detected before (IFNK, RNF114, SLC9A8, SPATA2, SNAI1, SCFD1, POLDIP2, TMEM97, G2E3, and PIGW). Functional analyses showed these genes were enriched in heart left ventricle, kidney cortex, and some brain regions. Overall, this study provides insights into genetic determinants of FTD and shared genetic etiology underlying FTD and ALS.
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Affiliation(s)
- Keying Chen
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Tongyu Gao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ying Liu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Kexuan Zhu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Biological Data Mining and Healthcare Transformation Innovation Engineering Research Center, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China.
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Malerba F, Florio R, Arisi I, Zecca C, Dell’Abate MT, Logroscino G, Cattaneo A. Cerebrospinal fluid level of proNGF as potential diagnostic biomarker in patients with frontotemporal dementia. Front Aging Neurosci 2024; 15:1298307. [PMID: 38332808 PMCID: PMC10850263 DOI: 10.3389/fnagi.2023.1298307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 12/27/2023] [Indexed: 02/10/2024] Open
Abstract
Introduction Frontotemporal dementia (FTD) is an extremely heterogeneous and complex neurodegenerative disease, exhibiting different phenotypes, genetic backgrounds, and pathological states. Due to these characteristics, and to the fact that clinical symptoms overlap with those of other neurodegenerative diseases or psychiatric disorders, the diagnosis based only on the clinical evaluation is very difficult. The currently used biomarkers help in the clinical diagnosis, but are insufficient and do not cover all the clinical needs. Methods By the means of a new immunoassay, we have measured and analyzed the proNGF levels in 43 cerebrospinal fluids (CSF) from FTD patients, and compared the results to those obtained in CSF from 84 Alzheimer's disease (AD), 15 subjective memory complaints (SMC) and 13 control subjects. Results A statistically significant difference between proNGF levels in FTD compared to AD, SMC and controls subjects was found. The statistical models reveal that proNGF determination increases the accuracy of FTD diagnosis, if added to the clinically validated CSF biomarkers. Discussion These results suggest that proNGF could be included in a panel of biomarkers to improve the FTD diagnosis.
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Affiliation(s)
- Francesca Malerba
- Fondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy
| | - Rita Florio
- Fondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy
| | - Ivan Arisi
- Fondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy
- Institute of Translational Pharmacology – National Research Council (IFT-CNR), Rome, Italy
| | - Chiara Zecca
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari “Aldo Moro” at “Pia Fondazione Card G. Panico” Hospital Tricase, Lecce, Italy
| | - Maria Teresa Dell’Abate
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari “Aldo Moro” at “Pia Fondazione Card G. Panico” Hospital Tricase, Lecce, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari “Aldo Moro” at “Pia Fondazione Card G. Panico” Hospital Tricase, Lecce, Italy
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
| | - Antonino Cattaneo
- Fondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy
- BIO@SNS Laboratory, Scuola Normale Superiore, Pisa, Italy
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29
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Esser EL, Lahme L, Dierse S, Diener R, Eter N, Wiendl H, Duning T, Pawlowski M, Krämer J, Alnawaiseh M. Quantitative Analysis of Retinal Perfusion in Patients with Frontotemporal Dementia Using Optical Coherence Tomography Angiography. Diagnostics (Basel) 2024; 14:211. [PMID: 38248087 PMCID: PMC10814824 DOI: 10.3390/diagnostics14020211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/04/2024] [Accepted: 01/15/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Optical coherence tomography angiography (OCT-A) provides detailed visualization of the perfusion of the vascular network of the eye. While in other forms of dementia, such as Alzheimer's disease and mild cognitive impairment, reduced retinal perfusion was frequently reported, data of patients with frontotemporal dementia (FTD) are lacking. OBJECTIVE Retinal and optic nerve head perfusion was evaluated in patients with FTD with OCT-A. Quantitative OCT-A metrics were analyzed and correlated with clinical markers and vascular cerebral lesions in FTD patients. METHODS OCT-A was performed in 18 eyes of 18 patients with FTD and 18 eyes of 18 healthy participants using RTVue XR Avanti with AngioVue. In addition, patients underwent a detailed ophthalmological, neurological, and neuropsychological examination, cerebral magnetic resonance imaging (MRI), and lumbar puncture. RESULTS The flow density in the optic nerve head (ONH) and in the superficial capillary plexus (SCP) of the macula of patients was significantly lower compared to that of healthy controls (p < 0.001). Similarly, the VD in the deep capillary plexus (DCP) of the macula of patients was significantly lower compared to that of healthy controls (p < 0.001). There was no significant correlation between the flow density data, white matter lesions in brain MRI, cognitive deficits, and cerebrospinal fluid markers of dementia. CONCLUSIONS Patients with FTD showed a reduced flow density in the ONH, and in the superficial and deep retinal capillary plexus of the macula, when compared with that of healthy controls. Quantitative analyses of retinal perfusion using OCT-A may therefore help in the diagnosis and monitoring of FTD. Larger and longitudinal studies are necessary to evaluate if OCT-A is a suitable biomarker for patients with FTD.
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Affiliation(s)
- Eliane Luisa Esser
- Department of Ophthalmology, University Hospital Münster, Albert- Schweitzer-Campus 1, Building D15, 48149 Münster, Germany (M.A.)
| | - Larissa Lahme
- Department of Ophthalmology, University Hospital Münster, Albert- Schweitzer-Campus 1, Building D15, 48149 Münster, Germany (M.A.)
| | - Sebastian Dierse
- Department of Ophthalmology, University Hospital Münster, Albert- Schweitzer-Campus 1, Building D15, 48149 Münster, Germany (M.A.)
| | - Raphael Diener
- Department of Ophthalmology, University Hospital Münster, Albert- Schweitzer-Campus 1, Building D15, 48149 Münster, Germany (M.A.)
| | - Nicole Eter
- Department of Ophthalmology, University Hospital Münster, Albert- Schweitzer-Campus 1, Building D15, 48149 Münster, Germany (M.A.)
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149 Münster, Germany
| | - Thomas Duning
- Department of Neurology, Klinikum Bremen-Ost, 28325 Bremen, Germany
| | - Matthias Pawlowski
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149 Münster, Germany
| | - Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149 Münster, Germany
| | - Maged Alnawaiseh
- Department of Ophthalmology, University Hospital Münster, Albert- Schweitzer-Campus 1, Building D15, 48149 Münster, Germany (M.A.)
- Department of Ophthalmology, Klinikum Bielefeld, 33604 Bielefeld, Germany
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30
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Tao QQ, Cai X, Xue YY, Ge W, Yue L, Li XY, Lin RR, Peng GP, Jiang W, Li S, Zheng KM, Jiang B, Jia JP, Guo T, Wu ZY. Alzheimer's disease early diagnostic and staging biomarkers revealed by large-scale cerebrospinal fluid and serum proteomic profiling. Innovation (N Y) 2024; 5:100544. [PMID: 38235188 PMCID: PMC10794110 DOI: 10.1016/j.xinn.2023.100544] [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: 06/12/2023] [Accepted: 11/19/2023] [Indexed: 01/19/2024] Open
Abstract
Amyloid-β, tau pathology, and biomarkers of neurodegeneration make up the core diagnostic biomarkers of Alzheimer disease (AD). However, these proteins represent only a fraction of the complex biological processes underlying AD, and individuals with other brain diseases in which AD pathology is a comorbidity also test positive for these diagnostic biomarkers. More AD-specific early diagnostic and disease staging biomarkers are needed. In this study, we performed tandem mass tag proteomic analysis of paired cerebrospinal fluid (CSF) and serum samples in a discovery cohort comprising 98 participants. Candidate biomarkers were validated by parallel reaction monitoring-based targeted proteomic assays in an independent multicenter cohort comprising 288 participants. We quantified 3,238 CSF and 1,702 serum proteins in the discovery cohort, identifying 171 and 860 CSF proteins and 37 and 323 serum proteins as potential early diagnostic and staging biomarkers, respectively. In the validation cohort, 58 and 21 CSF proteins, as well as 12 and 18 serum proteins, were verified as early diagnostic and staging biomarkers, respectively. Separate 19-protein CSF and an 8-protein serum biomarker panels were built by machine learning to accurately classify mild cognitive impairment (MCI) due to AD from normal cognition with areas under the curve of 0.984 and 0.881, respectively. The 19-protein CSF biomarker panel also effectively discriminated patients with MCI due to AD from patients with other neurodegenerative diseases. Moreover, we identified 21 CSF and 18 serum stage-associated proteins reflecting AD stages. Our findings provide a foundation for developing blood-based tests for AD screening and staging in clinical practice.
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Affiliation(s)
- Qing-Qing Tao
- Department of Neurology and Research Center of Neurology in the Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310009, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou 311100, China
| | - Xue Cai
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzho 310024, China
| | - Yan-Yan Xue
- Department of Neurology and Research Center of Neurology in the Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Weigang Ge
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzho 310024, China
| | - Liang Yue
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzho 310024, China
| | - Xiao-Yan Li
- Department of Neurology and Research Center of Neurology in the Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Rong-Rong Lin
- Department of Neurology and Research Center of Neurology in the Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Guo-Ping Peng
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Wenhao Jiang
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzho 310024, China
| | - Sainan Li
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzho 310024, China
| | - Kun-Mu Zheng
- Department of Neurology, First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen 361009, China
| | - Bin Jiang
- Department of Neurology, First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen 361009, China
| | - Jian-Ping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Tiannan Guo
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzho 310024, China
| | - Zhi-Ying Wu
- Department of Neurology and Research Center of Neurology in the Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310009, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou 311100, China
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 310058, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China
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Wen J, Satyanarayanan SK, Li A, Yan L, Zhao Z, Yuan Q, Su KP, Su H. Unraveling the impact of Omega-3 polyunsaturated fatty acids on blood-brain barrier (BBB) integrity and glymphatic function. Brain Behav Immun 2024; 115:335-355. [PMID: 37914102 DOI: 10.1016/j.bbi.2023.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/05/2023] [Accepted: 10/22/2023] [Indexed: 11/03/2023] Open
Abstract
Alzheimer's disease (AD) and other forms of dementia represent major public health challenges but effective therapeutic options are limited. Pathological brain aging is associated with microvascular changes and impaired clearance systems. The application of omega-3 polyunsaturated fatty acids (n-3 or omega-3 PUFAs) is one of the most promising nutritional interventions in neurodegenerative disorders from epidemiological data, clinical and pre-clinical studies. As essential components of neuronal membranes, n-3 PUFAs have shown neuroprotection and anti-inflammatory effects, as well as modulatory effects through microvascular pathophysiology, amyloid-beta (Aβ) clearance and glymphatic pathways. This review meticulously explores these underlying mechanisms that contribute to the beneficial effects of n-3 PUFAs against AD and dementia, synthesizing evidence from both animal and interventional studies.
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Affiliation(s)
- Jing Wen
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau
| | - Senthil Kumaran Satyanarayanan
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong Science Park, Hong Kong
| | - Ang Li
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau
| | - Lingli Yan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau
| | - Ziai Zhao
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau
| | - Qiuju Yuan
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong Science Park, Hong Kong
| | - Kuan-Pin Su
- An-Nan Hospital, China Medical University, Tainan, Taiwan; Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan; Mind-Body Interface Research Center (MBI-Lab), China Medical University Hospital, Taichung, Taiwan.
| | - Huanxing Su
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau.
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32
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Ducharme S, Pijnenburg Y, Rohrer JD, Huey E, Finger E, Tatton N. Identifying and Diagnosing TDP-43 Neurodegenerative Diseases in Psychiatry. Am J Geriatr Psychiatry 2024; 32:98-113. [PMID: 37741764 DOI: 10.1016/j.jagp.2023.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/02/2023] [Accepted: 08/24/2023] [Indexed: 09/25/2023]
Abstract
Neuropsychiatric symptoms (NPS) are common manifestations of neurodegenerative disorders and are often early signs of those diseases. Among those neurodegenerative diseases, TDP-43 proteinopathies are an increasingly recognized cause of early neuropsychiatric manifestations. TDP-43-related diseases include frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS), and Limbic-Predominant Age-Related TDP-43 Encephalopathy (LATE). The majority of TDP-43-related diseases are sporadic, but a significant proportion is hereditary, with progranulin (GRN) mutations and C9orf72 repeat expansions as the most common genetic etiologies. Studies reveal that NPS can be the initial manifestation of those diseases or can complicate disease course, but there is a lack of awareness among clinicians about TDP-43-related diseases, which leads to common diagnostic mistakes or delays. There is also emerging evidence that TDP-43 accumulations could play a role in late-onset primary psychiatric disorders. In the absence of robust biomarkers for TDP-43, the diagnosis remains primarily based on clinical assessment and neuroimaging. Given the association with psychiatric symptoms, clinical psychiatrists have a key role in the early identification of patients with TDP-43-related diseases. This narrative review provides a comprehensive overview of the pathobiology of TDP-43, resulting clinical presentations, and associated neuropsychiatric manifestations to help guide clinical practice.
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Affiliation(s)
- Simon Ducharme
- Department of Psychiatry (SD), Douglas Mental Health University Institute, McGill University, Montreal, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (YP), Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease (JDR), UCL Queen Square Institute of Neurology, London, UK
| | - Edward Huey
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Psychiatry (EH), Columbia University, New York, NY
| | - Elizabeth Finger
- London Health Sciences Centre Parkwood Institute (EF), London, ON, Canada
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33
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Morrow CB. Geriatric Psychiatry and the Future of Dementia Care: Diagnosing TDP-43 Neurodegenerative Disease. Am J Geriatr Psychiatry 2024; 32:114-116. [PMID: 37777358 DOI: 10.1016/j.jagp.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 10/02/2023]
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34
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Nguyen H, Clément M, Mansencal B, Coupé P. Brain structure ages-A new biomarker for multi-disease classification. Hum Brain Mapp 2024; 45:e26558. [PMID: 38224546 PMCID: PMC10785199 DOI: 10.1002/hbm.26558] [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: 05/11/2023] [Revised: 11/20/2023] [Accepted: 11/25/2023] [Indexed: 01/17/2024] Open
Abstract
Age is an important variable to describe the expected brain's anatomy status across the normal aging trajectory. The deviation from that normative aging trajectory may provide some insights into neurological diseases. In neuroimaging, predicted brain age is widely used to analyze different diseases. However, using only the brain age gap information (i.e., the difference between the chronological age and the estimated age) can be not enough informative for disease classification problems. In this paper, we propose to extend the notion of global brain age by estimating brain structure ages using structural magnetic resonance imaging. To this end, an ensemble of deep learning models is first used to estimate a 3D aging map (i.e., voxel-wise age estimation). Then, a 3D segmentation mask is used to obtain the final brain structure ages. This biomarker can be used in several situations. First, it enables to accurately estimate the brain age for the purpose of anomaly detection at the population level. In this situation, our approach outperforms several state-of-the-art methods. Second, brain structure ages can be used to compute the deviation from the normal aging process of each brain structure. This feature can be used in a multi-disease classification task for an accurate differential diagnosis at the subject level. Finally, the brain structure age deviations of individuals can be visualized, providing some insights about brain abnormality and helping clinicians in real medical contexts.
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Affiliation(s)
- Huy‐Dung Nguyen
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800TalenceFrance
| | - Michaël Clément
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800TalenceFrance
| | - Boris Mansencal
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800TalenceFrance
| | - Pierrick Coupé
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800TalenceFrance
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35
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Corriveau-Lecavalier N, Barnard LR, Przybelski SA, Gogineni V, Botha H, Graff-Radford J, Ramanan VK, Forsberg LK, Fields JA, Machulda MM, Rademakers R, Gavrilova RH, Lapid MI, Boeve BF, Knopman DS, Lowe VJ, Petersen RC, Jack CR, Kantarci K, Jones DT. Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET. Neuroimage Clin 2023; 41:103559. [PMID: 38147792 PMCID: PMC10944211 DOI: 10.1016/j.nicl.2023.103559] [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: 10/16/2023] [Revised: 11/21/2023] [Accepted: 12/19/2023] [Indexed: 12/28/2023]
Abstract
Genetic mutations causative of frontotemporal lobar degeneration (FTLD) are highly predictive of a specific proteinopathy, but there exists substantial inter-individual variability in their patterns of network degeneration and clinical manifestations. We collected clinical and 18Fluorodeoxyglucose-positron emission tomography (FDG-PET) data from 39 patients with genetic FTLD, including 11 carrying the C9orf72 hexanucleotide expansion, 16 carrying a MAPT mutation and 12 carrying a GRN mutation. We performed a spectral covariance decomposition analysis between FDG-PET images to yield unbiased latent patterns reflective of whole brain patterns of metabolism ("eigenbrains" or EBs). We then conducted linear discriminant analyses (LDAs) to perform EB-based predictions of genetic mutation and predominant clinical phenotype (i.e., behavior/personality, language, asymptomatic). Five EBs were significant and explained 58.52 % of the covariance between FDG-PET images. EBs indicative of hypometabolism in left frontotemporal and temporo-parietal areas distinguished GRN mutation carriers from other genetic mutations and were associated with predominant language phenotypes. EBs indicative of hypometabolism in prefrontal and temporopolar areas with a right hemispheric predominance were mostly associated with predominant behavioral phenotypes and distinguished MAPT mutation carriers from other genetic mutations. The LDAs yielded accuracies of 79.5 % and 76.9 % in predicting genetic status and predominant clinical phenotype, respectively. A small number of EBs explained a high proportion of covariance in patterns of network degeneration across FTLD-related genetic mutations. These EBs contained biological information relevant to the variability in the pathophysiological and clinical aspects of genetic FTLD, and for offering valuable guidance in complex clinical decision-making, such as decisions related to genetic testing.
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Affiliation(s)
- Nick Corriveau-Lecavalier
- Department of Neurology, Mayo Clinic Rochester, USA; Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic Rochester, USA
| | | | | | | | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic Jacksonville, USA; VIB-UA Center for Molecular Neurology, VIB, University of Antwerp, Belgium
| | | | - Maria I Lapid
- Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic Rochester, USA
| | | | | | | | - David T Jones
- Department of Neurology, Mayo Clinic Rochester, USA; Department of Radiology, Mayo Clinic Rochester, USA.
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Peggion C, Massimino ML, Pereira D, Granuzzo S, Righetto F, Bortolotto R, Agostini J, Sartori G, Bertoli A, Lopreiato R. Structural Integrity of Nucleolin Is Required to Suppress TDP-43-Mediated Cytotoxicity in Yeast and Human Cell Models. Int J Mol Sci 2023; 24:17466. [PMID: 38139294 PMCID: PMC10744044 DOI: 10.3390/ijms242417466] [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: 10/03/2023] [Revised: 11/28/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023] Open
Abstract
The Transactivating response (TAR) element DNA-binding of 43 kDa (TDP-43) is mainly implicated in the regulation of gene expression, playing multiple roles in RNA metabolism. Pathologically, it is implicated in amyotrophic lateral sclerosis and in a class of neurodegenerative diseases broadly going under the name of frontotemporal lobar degeneration (FTLD). A common hallmark of most forms of such diseases is the presence of TDP-43 insoluble inclusions in the cell cytosol. The molecular mechanisms of TDP-43-related cell toxicity are still unclear, and the contribution to cell damage from either loss of normal TDP-43 function or acquired toxic properties of protein aggregates is yet to be established. Here, we investigate the effects on cell viability of FTLD-related TDP-43 mutations in both yeast and mammalian cell models. Moreover, we focus on nucleolin (NCL) gene, recently identified as a genetic suppressor of TDP-43 toxicity, through a thorough structure/function characterization aimed at understanding the role of NCL domains in rescuing TDP-43-induced cytotoxicity. Using functional and biochemical assays, our data demonstrate that the N-terminus of NCL is necessary, but not sufficient, to exert its antagonizing effects on TDP-43, and further support the relevance of the DNA/RNA binding central region of the protein. Concurrently, data suggest the importance of the NCL nuclear localization for TDP-43 trafficking, possibly related to both TDP-43 physiology and toxicity.
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Affiliation(s)
- Caterina Peggion
- Department of Biology, University of Padova, 35131 Padova, Italy
| | | | - Daniel Pereira
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal
| | - Sara Granuzzo
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Francesca Righetto
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Raissa Bortolotto
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Jessica Agostini
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Geppo Sartori
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Alessandro Bertoli
- Neuroscience Institute, Consiglio Nazionale Delle Ricerche, 35131 Padova, Italy
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy
| | - Raffaele Lopreiato
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
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Shen T, Vogel JW, Duda J, Phillips JS, Cook PA, Gee J, Elman L, Quinn C, Amado DA, Baer M, Massimo L, Grossman M, Irwin DJ, McMillan CT. Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum. Transl Neurodegener 2023; 12:57. [PMID: 38062485 PMCID: PMC10701950 DOI: 10.1186/s40035-023-00389-3] [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: 07/20/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND TDP-43 proteinopathies represent a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study was aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum. METHODS We used a data-driven procedure to identify 13 anatomic clusters of brain volume for 57 behavioral variant FTD (bvFTD; with either autopsy-confirmed TDP-43 or TDP-43 proteinopathy-associated genetic variants), 103 ALS, and 47 ALS-FTD patients with likely TDP-43. A Subtype and Stage Inference (SuStaIn) model was trained to identify subtypes of individuals along the ALS-FTD spectrum with distinct brain atrophy patterns, and we related subtypes and stages to clinical, genetic, and neuropathological features of disease. RESULTS SuStaIn identified three novel subtypes: two disease subtypes with predominant brain atrophy in either prefrontal/somatomotor regions or limbic-related regions, and a normal-appearing group without obvious brain atrophy. The limbic-predominant subtype tended to present with more impaired cognition, higher frequencies of pathogenic variants in TBK1 and TARDBP genes, and a higher proportion of TDP-43 types B, E and C. In contrast, the prefrontal/somatomotor-predominant subtype had higher frequencies of pathogenic variants in C9orf72 and GRN genes and higher proportion of TDP-43 type A. The normal-appearing brain group showed higher frequency of ALS relative to ALS-FTD and bvFTD patients, higher cognitive capacity, higher proportion of lower motor neuron onset, milder motor symptoms, and lower frequencies of genetic pathogenic variants. The overall SuStaIn stages also correlated with evidence for clinical progression including longer disease duration, higher King's stage, and cognitive decline. Additionally, SuStaIn stages differed across clinical phenotypes, genotypes and types of TDP-43 pathology. CONCLUSIONS Our findings suggest distinct neurodegenerative subtypes of disease along the ALS-FTD spectrum that can be identified in vivo, each with distinct brain atrophy, clinical, genetic and pathological patterns.
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Affiliation(s)
- Ting Shen
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jacob W Vogel
- Department of Clinical Sciences, SciLifeLab, Lund University, 222 42, Lund, Sweden
| | - Jeffrey Duda
- Penn Image Computing and Science Lab (PICSL), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jeffrey S Phillips
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Philip A Cook
- Penn Image Computing and Science Lab (PICSL), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - James Gee
- Penn Image Computing and Science Lab (PICSL), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren Elman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Colin Quinn
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Defne A Amado
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Michael Baer
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Huang MH, Zeng BS, Tseng PT, Hsu CW, Wu YC, Tu YK, Stubbs B, Carvalho AF, Liang CS, Chen TY, Chen YW, Su KP. Treatment Efficacy of Pharmacotherapies for Frontotemporal Dementia: A Network Meta-Analysis of Randomized Controlled Trials. Am J Geriatr Psychiatry 2023; 31:1062-1073. [PMID: 37633762 DOI: 10.1016/j.jagp.2023.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND The neuropsychiatric symptoms of frontotemporal dementia (FTD) have a profound negative impact on disease outcomes and care burden. Available pharmacotherapies might be supported by small-scale randomized controlled trials (RCTs); however, clinical recommendations might not be conclusive. METHODS We systematically searched several databases from inception to April 30, 2022, for RCTs of drug therapy in patients with FTD and neuropsychiatric symptoms (primary outcome). Secondary outcomes included changes in caregiver stress, daily interactive activities, cognitive function, and acceptability (adverse event or dropout rates). The network meta-analysis (NMA) procedure was performed under the frequency model, showing effect sizes as standardized mean differences (SMD) or odds ratios (OR) with 95% confidence intervals (95% CIs). RESULTS Seven RCTs with 243 participants were included. Compared with placebo, high-dose oxytocin (72 international units) was associated with the greatest improvement in patients' neuropsychiatric symptoms (SMD = -1.17, 95% CIs = -2.25 to -0.08, z = -2.10, p = 0.035). Piracetam significantly worsened neuropsychiatric symptoms (SMD = 3.48, 95% CIs = 1.58 to 5.37, z = 3.60, p < 0.001) and caregiver stress (SMD = 2.40, 95% CIs = 0.80-4.01, z = 2.94, p = 0.003). Trazodone had significantly higher rates of adverse events (OR = 9.53, 95% CIs = 1.85-49.20, z = 2.69, p = 0.007). No pharmacological intervention significantly benefited cognitive function. CONCLUSIONS This study provides the first NMA for clinical recommendation to support the use of high-dose oxytocin and caution regarding the use of piracetam for neuropsychiatric symptoms in patients with FTD.
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Affiliation(s)
- Mao-Hsuan Huang
- Department of psychiatry (M-HH), Yuanshan and Suao branches of Taipei Veterans General Hospital, Ilan, Taiwan; Division of Psychiatry (M-HH), Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Bing-Syuan Zeng
- Institute of Biomedical Sciences (B-SZ, P-TT), National Sun Yat-sen University, Kaohsiung, Taiwan; Department of Internal Medicine (B-SZ), E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Ping-Tao Tseng
- Institute of Biomedical Sciences (B-SZ, P-TT), National Sun Yat-sen University, Kaohsiung, Taiwan; Prospect Clinic for Otorhinolaryngology & Neurology (Y-WC, P-TT), Kaohsiung City, Taiwan; Department of Psychology (P-TT), Collage of Medical and Health Science, Asia University, Taichung, Taiwan; Institute of Precision Medicine (P-TT), National Sun Yat-sen University, Kaohsiung City, Taiwan
| | - Chih-Wei Hsu
- Department of Psychiatry (C-WH), Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yi-Cheng Wu
- Department of Sports Medicine (Y-CW), Landseed International Hospital, Taoyuan, Taiwan
| | - Yu-Kang Tu
- Institute of Epidemiology & Preventive Medicine (Y-KT), College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Dentistry (Y-KT), National Taiwan University Hospital, Taipei, Taiwan
| | - Brendon Stubbs
- Department of Psychological Medicine (BS), Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Physiotherapy Department (BS), South London and Maudsley NHS Foundation Trust, London, UK; Positive Ageing Research Institute (PARI) (BS), Faculty of Health, Social Care Medicine and Education, Anglia Ruskin University, Chelmsford, UK
| | - Andre F Carvalho
- Innovation in Mental and Physical Health and Clinical Treatment (IMPACT) Strategic Research Centre (AFC), School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Chih-Sung Liang
- Department of Psychiatry (C-SL), Beitou Branch, Tri-Service General Hospital; School of Medicine, National Defense Medical Center, Taipei, Taiwan; Graduate Institute of Medical Sciences (C-SL), National Defense Medical Center, Taipei, Taiwan
| | - Tien-Yu Chen
- Department of Psychiatry (T-YC), Tri-Service General Hospital; School of Medicine, National Defense Medical Center, Taipei, Taiwan; Institute of Brain Science (T-YC), National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Yen-Wen Chen
- Prospect Clinic for Otorhinolaryngology & Neurology (Y-WC, P-TT), Kaohsiung City, Taiwan
| | - Kuan-Pin Su
- Department of Psychiatry & Mind-Body Interface Laboratory (MBI-Lab) (K-PS), China Medical University Hospital, Taichung, Taiwan; College of Medicine (K-PS), China Medical University, Taichung, Taiwan; An-Nan Hospital (K-PS), China Medical University, Tainan, Taiwan.
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Kahriman A, Bouley J, Tuncali I, Dogan EO, Pereira M, Luu T, Bosco DA, Jaber S, Peters OM, Brown RH, Henninger N. Repeated mild traumatic brain injury triggers pathology in asymptomatic C9ORF72 transgenic mice. Brain 2023; 146:5139-5152. [PMID: 37527465 PMCID: PMC11046056 DOI: 10.1093/brain/awad264] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023] Open
Abstract
Frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) are fatal neurodegenerative diseases that represent ends of the spectrum of a single disease. The most common genetic cause of FTD and ALS is a hexanucleotide repeat expansion in the C9orf72 gene. Although epidemiological data suggest that traumatic brain injury (TBI) represents a risk factor for FTD and ALS, its role in exacerbating disease onset and course remains unclear. To explore the interplay between traumatic brain injury and genetic risk in the induction of FTD/ALS pathology we combined a mild repetitive traumatic brain injury paradigm with an established bacterial artificial chromosome transgenic C9orf72 (C9BAC) mouse model without an overt motor phenotype or neurodegeneration. We assessed 8-10 week-old littermate C9BACtg/tg (n = 21), C9BACtg/- (n = 20) and non-transgenic (n = 21) mice of both sexes for the presence of behavioural deficits and cerebral histopathology at 12 months after repetitive TBI. Repetitive TBI did not affect body weight gain, general neurological deficit severity, nor survival over the 12-month observation period and there was no difference in rotarod performance, object recognition, social interaction and acoustic characteristics of ultrasonic vocalizations of C9BAC mice subjected to repetitive TBI versus sham injury. However, we found that repetitive TBI increased the time to the return of the righting reflex, reduced grip force, altered sociability behaviours and attenuated ultrasonic call emissions during social interactions in C9BAC mice. Strikingly, we found that repetitive TBI caused widespread microglial activation and reduced neuronal density that was associated with loss of histological markers of axonal and synaptic integrity as well as profound neuronal transactive response DNA binding protein 43 kDa mislocalization in the cerebral cortex of C9BAC mice at 12 months; this was not observed in non-transgenic repetitive TBI and C9BAC sham mice. Our data indicate that repetitive TBI can be an environmental risk factor that is sufficient to trigger FTD/ALS-associated neuropathology and behavioural deficits, but not paralysis, in mice carrying a C9orf72 hexanucleotide repeat expansion.
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Affiliation(s)
- Aydan Kahriman
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - James Bouley
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Idil Tuncali
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Elif O Dogan
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Mariana Pereira
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Thuyvan Luu
- Department of Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Daryl A Bosco
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Samer Jaber
- Department of Pathology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Owen M Peters
- School of Biosciences, UK Dementia Research Institute, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Robert H Brown
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
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Oveisgharan S, Yu L, Agrawal S, Nag S, Bennett DA, Buchman AS, Schneider JA. Relation of Motor Impairments to Neuropathologic Changes of Limbic-Predominant Age-Related TDP-43 Encephalopathy in Older Adults. Neurology 2023; 101:e1542-e1553. [PMID: 37604667 PMCID: PMC10585698 DOI: 10.1212/wnl.0000000000207726] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/14/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Limbic-predominant age-related transactive response DNA-binding protein 43 (TDP-43) encephalopathy neuropathologic change (LATE-NC) is common and is a major contributor to cognitive decline and Alzheimer dementia in older adults. The objective of the current study was to examine whether LATE-NC was also associated with declining motor function in older adults. METHODS Participants were from 2 longitudinal clinical pathologic studies of aging who did not have dementia at the time of enrollment. Postmortem pathologic examination included immunohistochemical staining for TDP-43 in 8 brain regions, which was summarized as a dichotomous variable indicating advanced LATE-NC stages at which TDP-43 pathology had accumulated in the hippocampus, entorhinal, or neocortical regions. Annual motor testing included maximal inspiratory and expiratory pressures (summarized as respiratory muscle strength), grip and pinch strength (summarized as hand strength), finger tapping speed and the Purdue Pegboard Test (summarized as hand dexterity), and walking 8 feet and turning 360° (summarized as gait function). The severity of parkinsonism was also assessed and summarized as a global parkinsonism score. Global cognition was a summary of standardized scores of 19 neuropsychological tests. We used linear mixed-effect models to examine the associations of LATE-NC with longitudinal changes of motor decline and used multivariate random coefficient models to simultaneously examine the associations of LATE-NC with cognitive and motor decline. RESULTS Among 1,483 participants (mean age at death 90.1 [SD = 6.4] years, 70% women, mean follow-up 7.4 [SD = 3.8] years), LATE-NC was present in 34.0% (n = 504). In separate linear mixed-effect models controlling for demographics and other brain pathologies, LATE-NC was associated with faster decline in respiratory muscle strength (estimate = -0.857, SE = 0.322, p = 0.008) and hand strength (estimate = -0.005, SE = 0.002, p = 0.005) but was not related to hand dexterity, gait function, or parkinsonism. In multivariate random coefficient models including respiratory muscle strength, hand strength, and global cognition as the outcomes, LATE-NC remained associated with a faster respiratory muscle strength decline rate (estimate = -0.021, SE = 0.009, p = 0.023), but the association with hand strength was no longer significant (estimate = -0.002, SE = 0.003, p = 0.390). DISCUSSION Motor impairment, specifically respiratory muscle weakness, may be an unrecognized comorbidity of LATE-NC that highlights the potential association of TDP-43 proteinopathy with noncognitive phenotypes in aging adults.
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Affiliation(s)
- Shahram Oveisgharan
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL.
| | - Lei Yu
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL
| | - Sonal Agrawal
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL
| | - Sukriti Nag
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL
| | - David A Bennett
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL
| | - Aron S Buchman
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL
| | - Julie A Schneider
- From the Rush Alzheimer's Disease Center (S.O., L.Y., S.A., S.N., D.A.B., A.S.B., J.A.S.), Department of Neurological Sciences (S.O., L.Y., D.A.B., A.S.B., J.A.S.), and Department of Pathology (S.A., S.N., J.A.S.), Rush University Medical Center, Chicago, IL
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Nguyen HD, Clément M, Planche V, Mansencal B, Coupé P. Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia. Artif Intell Med 2023; 144:102636. [PMID: 37783553 PMCID: PMC10904714 DOI: 10.1016/j.artmed.2023.102636] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 06/22/2023] [Accepted: 08/11/2023] [Indexed: 10/04/2023]
Abstract
Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses of both diseases, and their differential diagnosis can sometimes pose challenges for physicians. Therefore, an accurate tool dedicated to this diagnostic challenge can be valuable in clinical practice. However, current structural imaging methods mainly focus on the detection of each disease but rarely on their differential diagnosis. In this paper, we propose a deep learning-based approach for both disease detection and differential diagnosis. We suggest utilizing two types of biomarkers for this application: structure grading and structure atrophy. First, we propose to train a large ensemble of 3D U-Nets to locally determine the anatomical patterns of healthy people, patients with Alzheimer's disease and patients with Frontotemporal dementia using structural MRI as input. The output of the ensemble is a 2-channel disease's coordinate map, which can be transformed into a 3D grading map that is easily interpretable for clinicians. This 2-channel disease's coordinate map is coupled with a multi-layer perceptron classifier for different classification tasks. Second, we propose to combine our deep learning framework with a traditional machine learning strategy based on volume to improve the model discriminative capacity and robustness. After both cross-validation and external validation, our experiments, based on 3319 MRIs, demonstrated that our method produces competitive results compared to state-of-the-art methods for both disease detection and differential diagnosis.
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Affiliation(s)
- Huy-Dung Nguyen
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France.
| | - Michaël Clément
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, 33000 Bordeaux, France; Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, 33000 Bordeaux, France
| | - Boris Mansencal
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France
| | - Pierrick Coupé
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France
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Rexach JE, Cheng Y, Chen L, Polioudakis D, Lin LC, Mitri V, Elkins A, Yin A, Calini D, Kawaguchi R, Ou J, Huang J, Williams C, Robinson J, Gaus SE, Spina S, Lee EB, Grinberg LT, Vinters H, Trojanowski JQ, Seeley WW, Malhotra D, Geschwind DH. Disease-specific selective vulnerability and neuroimmune pathways in dementia revealed by single cell genomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.29.560245. [PMID: 37808727 PMCID: PMC10557766 DOI: 10.1101/2023.09.29.560245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
The development of successful therapeutics for dementias requires an understanding of their shared and distinct molecular features in the human brain. We performed single-nuclear RNAseq and ATACseq in Alzheimer disease (AD), Frontotemporal degeneration (FTD), and Progressive Supranuclear Palsy (PSP), analyzing 40 participants, yielding over 1.4M cells from three brain regions ranging in vulnerability and pathological burden. We identify 35 shared disease-associated cell types and 14 that are disease-specific, replicating those previously identified in AD. Disease - specific cell states represent molecular features of disease-specific glial-immune mechanisms and neuronal vulnerability in each disorder, layer 4/5 intra-telencephalic neurons in AD, layer 2/3 intra-telencephalic neurons in FTD, and layer 5/6 near-projection neurons in PSP. We infer intrinsic disease-associated gene regulatory networks, which we empirically validate by chromatin footprinting. We find that causal genetic risk acts in specific neuronal and glial cells that differ across disorders, primarily non-neuronal cells in AD and specific neuronal subtypes in FTD and PSP. These data illustrate the heterogeneous spectrum of glial and neuronal composition and gene expression alterations in different dementias and identify new therapeutic targets by revealing shared and disease-specific cell states.
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Yu M, Risacher SL, Nho KT, Wen Q, Oblak AL, Unverzagt FW, Apostolova LG, Farlow MR, Brosch JR, Clark DG, Wang S, Deardorff R, Wu YC, Gao S, Sporns O, Saykin AJ. Spatial transcriptomic patterns underlying regional vulnerability to amyloid-β and tau pathologies and their relationships to cognitive dysfunction in Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.12.23294017. [PMID: 37645867 PMCID: PMC10462206 DOI: 10.1101/2023.08.12.23294017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Amyloid-β (Aβ) and tau proteins accumulate within distinct neuronal systems in Alzheimer's disease (AD). Although it is not clear why certain brain regions are more vulnerable to Aβ and tau pathologies than others, gene expression may play a role. We studied the association between brain-wide gene expression profiles and regional vulnerability to Aβ (gene-to-Aβ associations) and tau (gene-to-tau associations) pathologies leveraging two large independent cohorts (n = 715) of participants along the AD continuum. We identified several AD susceptibility genes and gene modules in a gene co-expression network with expression profiles related to regional vulnerability to Aβ and tau pathologies in AD. In particular, we found that the positive APOE -to-tau association was only seen in the AD cohort, whereas patients with AD and frontotemporal dementia shared similar positive MAPT -to-tau association. Some AD candidate genes showed sex-dependent negative gene-to-Aβ and gene-to-tau associations. In addition, we identified distinct biochemical pathways associated with the gene-to-Aβ and the gene-to-tau associations. Finally, we proposed a novel analytic framework, linking the identified gene-to-pathology associations to cognitive dysfunction in AD at the individual level, suggesting potential clinical implication of the gene-to-pathology associations. Taken together, our study identified distinct gene expression profiles and biochemical pathways that may explain the discordance between regional Aβ and tau pathologies, and filled the gap between gene-to-pathology associations and cognitive dysfunction in individual AD patients that may ultimately help identify novel personalized pathogenetic biomarkers and therapeutic targets. One Sentence Summary We identified replicable cognition-related associations between regional gene expression profiles and selectively regional vulnerability to amyloid-β and tau pathologies in AD.
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Shen T, Vogel JW, Duda J, Phillips JS, Cook PA, Gee J, Elman L, Quinn C, Amado DA, Baer M, Massimo L, Grossman M, Irwin DJ, McMillan CT. Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum. RESEARCH SQUARE 2023:rs.3.rs-3183113. [PMID: 37609205 PMCID: PMC10441467 DOI: 10.21203/rs.3.rs-3183113/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Background TDP-43 proteinopathies represents a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum. Methods We used a data-driven procedure to identify 13 anatomic clusters of brain volumes for 57 behavioral variant FTD (bvFTD; with either autopsy-confirmed TDP-43 or TDP-43 proteinopathy-associated genetic variants), 103 ALS, and 47 ALS-FTD patients with likely TDP-43. A Subtype and Stage Inference (SuStaIn) model was trained to identify subtypes of individuals along the ALS-FTD spectrum with distinct brain atrophy patterns, and we related subtypes and stages to clinical, genetic, and neuropathological features of disease. Results SuStaIn identified three novel subtypes: two disease subtypes with predominant brain atrophy either in prefrontal/somatomotor regions or limbic-related regions, and a normal-appearing group without obvious brain atrophy. The Limbic-predominant subtype tended to present with more impaired cognition, higher frequencies of pathogenic variants in TBK1 and TARDBP genes, and a higher proportion of TDP-43 type B, E and C. In contrast, the Prefrontal/Somatomotor-predominant subtype had higher frequencies of pathogenic variants in C9orf72 and GRN genes and higher proportion of TDP-43 type A. The normal-appearing brain group showed higher frequency of ALS relative to ALS-FTD and bvFTD patients, higher cognitive capacity, higher proportion of lower motor neuron onset, milder motor symptoms, and lower frequencies of genetic pathogenic variants. Overall SuStaIn stages also correlated with evidence for clinical progression including longer disease duration, higher King's stage, and cognitive decline. Additionally, SuStaIn stages differed across clinical phenotypes, genotypes and types of TDP-43 pathology. Conclusions Our findings suggest distinct neurodegenerative subtypes of disease along the ALS-FTD spectrum that can be identified in vivo, each with distinct brain atrophy, clinical, genetic and pathological patterns.
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Affiliation(s)
- Ting Shen
- University of Pennsylvania Perelman School of Medicine
| | | | - Jeffrey Duda
- University of Pennsylvania Perelman School of Medicine
| | | | - Philip A Cook
- University of Pennsylvania Perelman School of Medicine
| | - James Gee
- University of Pennsylvania Perelman School of Medicine
| | - Lauren Elman
- University of Pennsylvania Perelman School of Medicine
| | - Colin Quinn
- University of Pennsylvania Perelman School of Medicine
| | - Defne A Amado
- University of Pennsylvania Perelman School of Medicine
| | - Michael Baer
- University of Pennsylvania Perelman School of Medicine
| | | | | | - David J Irwin
- University of Pennsylvania Perelman School of Medicine
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45
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Huang L, Cui L, Chen K, Han Z, Guo Q. Functional and structural network changes related with cognition in semantic dementia longitudinally. Hum Brain Mapp 2023; 44:4287-4298. [PMID: 37209400 PMCID: PMC10318263 DOI: 10.1002/hbm.26345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 04/06/2023] [Accepted: 05/01/2023] [Indexed: 05/22/2023] Open
Abstract
Longitudinal changes in the white matter/functional brain networks of semantic dementia (SD), as well as their relations with cognition remain unclear. Using a graph-theoretic method, we examined the neuroimaging (T1, diffusion tensor imaging, functional MRI) network properties and cognitive performance in processing semantic knowledge of general and six modalities (i.e., object form, color, motion, sound, manipulation and function) from 31 patients (at two time points with an interval of 2 years) and 20 controls (only at baseline). Partial correlation analyses were carried out to explore the relationships between the network changes and the declines of semantic performance. SD exhibited aberrant general and modality-specific semantic impairment, and gradually worsened over time. Overall, the brain networks showed a decreased global and local efficiency in the functional network organization but a preserved structural network organization with a 2-year follow-up. With disease progression, both structural and functional alterations were found to be extended to the temporal and frontal lobes. The regional topological alteration in the left inferior temporal gyrus (ITG.L) was significantly correlated with general semantic processing. Meanwhile, the right superior temporal gyrus and right supplementary motor area were identified to be associated with color and motor-related semantic attributes. SD manifested disrupted structural and functional network pattern longitudinally. We proposed a hub region (i.e., ITG.L) of semantic network and distributed modality-specific semantic-related regions. These findings support the hub-and-spoke semantic theory and provide targets for future therapy.
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Affiliation(s)
- Lin Huang
- Department of GerontologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Liang Cui
- Department of GerontologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Keliang Chen
- Department of Neurology, Huashan HospitalFudan UniversityShanghaiChina
| | - Zaizhu Han
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Qihao Guo
- Department of GerontologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
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Antonioni A, Raho EM, Lopriore P, Pace AP, Latino RR, Assogna M, Mancuso M, Gragnaniello D, Granieri E, Pugliatti M, Di Lorenzo F, Koch G. Frontotemporal Dementia, Where Do We Stand? A Narrative Review. Int J Mol Sci 2023; 24:11732. [PMID: 37511491 PMCID: PMC10380352 DOI: 10.3390/ijms241411732] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
Frontotemporal dementia (FTD) is a neurodegenerative disease of growing interest, since it accounts for up to 10% of middle-age-onset dementias and entails a social, economic, and emotional burden for the patients and caregivers. It is characterised by a (at least initially) selective degeneration of the frontal and/or temporal lobe, generally leading to behavioural alterations, speech disorders, and psychiatric symptoms. Despite the recent advances, given its extreme heterogeneity, an overview that can bring together all the data currently available is still lacking. Here, we aim to provide a state of the art on the pathogenesis of this disease, starting with established findings and integrating them with more recent ones. In particular, advances in the genetics field will be examined, assessing them in relation to both the clinical manifestations and histopathological findings, as well as considering the link with other diseases, such as amyotrophic lateral sclerosis (ALS). Furthermore, the current diagnostic criteria will be explored, including neuroimaging methods, nuclear medicine investigations, and biomarkers on biological fluids. Of note, the promising information provided by neurophysiological investigations, i.e., electroencephalography and non-invasive brain stimulation techniques, concerning the alterations in brain networks and neurotransmitter systems will be reviewed. Finally, current and experimental therapies will be considered.
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Affiliation(s)
- Annibale Antonioni
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, 44121 Ferrara, Italy
| | - Emanuela Maria Raho
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Piervito Lopriore
- Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Antonia Pia Pace
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital S. Maria della Misericordia, Azienda Sanitaria-Universitaria Friuli Centrale, 33100 Udine, Italy
| | - Raffaela Rita Latino
- Complex Structure of Neurology, Emergency Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
| | - Martina Assogna
- Centro Demenze, Policlinico Tor Vergata, University of Rome 'Tor Vergata', 00133 Rome, Italy
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
| | - Michelangelo Mancuso
- Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Daniela Gragnaniello
- Nuerology Unit, Neurosciences and Rehabilitation Department, Ferrara University Hospital, 44124 Ferrara, Italy
| | - Enrico Granieri
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Maura Pugliatti
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Francesco Di Lorenzo
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
| | - Giacomo Koch
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
- Iit@Unife Center for Translational Neurophysiology, Istituto Italiano di Tecnologia, 44121 Ferrara, Italy
- Section of Human Physiology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
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Neylan KD, Miller BL. New Approaches to the Treatment of Frontotemporal Dementia. Neurotherapeutics 2023; 20:1055-1065. [PMID: 37157041 PMCID: PMC10457270 DOI: 10.1007/s13311-023-01380-6] [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] [Accepted: 04/14/2023] [Indexed: 05/10/2023] Open
Abstract
Frontotemporal dementia (FTD) comprises a diverse group of clinical neurodegenerative syndromes characterized by progressive changes in behavior, personality, executive function, language, and motor function. Approximately 20% of FTD cases have a known genetic cause. The three most common genetic mutations causing FTD are discussed. Frontotemporal lobar degeneration refers to the heterogeneous group of neuropathology underlying FTD clinical syndromes. While there are no current disease-modifying treatments for FTD, management includes off-label pharmacotherapy and non-pharmacological approaches to target symptoms. The utility of several different drug classes is discussed. Medications used in the treatment of Alzheimer's disease have no benefit in FTD and can worsen neuropsychiatric symptoms. Non-pharmacological approaches to management include lifestyle modifications, speech-, occupational-, and physical therapy, peer and caregiver support, and safety considerations. Recent developments in the understanding of the genetics, pathophysiology, neuropathology, and neuroimmunology underlying FTD clinical syndromes have expanded possibilities for disease-modifying and symptom-targeted treatments. Different pathogenetic mechanisms are targeted in several active clinical trials, opening up exciting possibilities for breakthrough advances in treatment and management of FTD spectrum disorders.
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Affiliation(s)
- Kyra D Neylan
- University of California San Francisco Memory and Aging Center, San Francisco, USA.
| | - Bruce L Miller
- University of California San Francisco Memory and Aging Center, San Francisco, USA
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Yang J, Wu S, Yang J, Zhang Q, Dong X. Amyloid beta-correlated plasma metabolite dysregulation in Alzheimer's disease: an untargeted metabolism exploration using high-resolution mass spectrometry toward future clinical diagnosis. Front Aging Neurosci 2023; 15:1189659. [PMID: 37455936 PMCID: PMC10338932 DOI: 10.3389/fnagi.2023.1189659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 05/30/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction Alzheimer's disease (AD) is a leading cause of dementia, and it has rapidly become an increasingly burdensome and fatal disease in society. Despite medical research advances, accurate recognition of AD remains challenging. Epidemiological evidence suggests that metabolic abnormalities are tied to higher AD risk. Methods This study utilized case-control analyses with plasma samples and identified a panel of 27 metabolites using high-resolution mass spectrometry in both the Alzheimer's disease (AD) and cognitively normal (CN) groups. All identified variables were confirmed using MS/MS with detected fragmented ions and public metabolite databases. To understand the expression of amyloid beta proteins in plasma, ELISA assays were performed for both amyloid beta 42 (Aβ42) and amyloid beta 40 (Aβ40). Results The levels of plasma metabolites PAGln and L-arginine were found to significantly fluctuate in the peripheral blood of AD patients. In addition, ELISA results showed a significant increase in amyloid beta 42 (Aβ42) in AD patients compared to those who were cognitively normal (CN), while amyloid beta 40 (Aβ40) did not show any significant changes between the groups. Furthermore, positive correlations were observed between Aβ42/Aβ40 and PAGln or L-arginine, suggesting that both metabolites could play a role in the pathology of amyloid beta proteins. Binary regression analysis with these two metabolites resulted in an optimal model of the ROC (AUC = 0.95, p < 0.001) to effectively discriminate between AD and CN. Discussion This study highlights the potential of advanced high-resolution mass spectrometry (HRMS) technology for novel plasma metabolite discovery with high stability and sensitivity, thus paving the way for future clinical studies. The results of this study suggest that the combination of PAGln and L-arginine holds significant potential for improving the diagnosis of Alzheimer's disease (AD) in clinical settings. Overall, these findings have important implications for advancing our understanding of AD and developing effective approaches for its future clinical diagnosis.
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Affiliation(s)
- Jingzhi Yang
- Institute of Translational Medicine, Shanghai University, Shanghai, China
| | - Shuo Wu
- Neurology Department, Shanghai Baoshan Luodian Hospital, Shanghai, China
| | - Jun Yang
- Department of Internal Medicine, Shanghai Baoshan Elderly Nursing Hospital, Shanghai, China
| | - Qun Zhang
- Department of Internal Medicine, Shanghai Baoshan Elderly Nursing Hospital, Shanghai, China
| | - Xin Dong
- School of Medicine, Shanghai University, Shanghai, China
- Suzhou Innovation Center of Shanghai University, Suzhou, Jiangsu, China
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49
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Jiang X, Gatt A, Lashley T. HnRNP Pathologies in Frontotemporal Lobar Degeneration. Cells 2023; 12:1633. [PMID: 37371103 DOI: 10.3390/cells12121633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/06/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Frontotemporal dementia (FTD) is the second most common form of young-onset (<65 years) dementia. Clinically, it primarily manifests as a disorder of behavioural, executive, and/or language functions. Pathologically, frontotemporal lobar degeneration (FTLD) is the predominant cause of FTD. FTLD is a proteinopathy, and the main pathological proteins identified so far are tau, TAR DNA-binding protein 43 (TDP-43), and fused in sarcoma (FUS). As TDP-43 and FUS are members of the heterogeneous ribonucleic acid protein (hnRNP) family, many studies in recent years have expanded the research on the relationship between other hnRNPs and FTLD pathology. Indeed, these studies provide evidence for an association between hnRNP abnormalities and FTLD. In particular, several studies have shown that multiple hnRNPs may exhibit nuclear depletion and cytoplasmic mislocalisation within neurons in FTLD cases. However, due to the diversity and complex association of hnRNPs, most studies are still at the stage of histological discovery of different hnRNP abnormalities in FTLD. We herein review the latest studies relating hnRNPs to FTLD. Together, these studies outline an important role of multiple hnRNPs in the pathogenesis of FTLD and suggest that future research into FTLD should include the whole spectrum of this protein family.
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Affiliation(s)
- Xinwa Jiang
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London WC1N 1PJ, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Ariana Gatt
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London WC1N 1PJ, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London WC1N 1PJ, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
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50
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Hazelton JL, Fittipaldi S, Fraile-Vazquez M, Sourty M, Legaz A, Hudson AL, Cordero IG, Salamone PC, Yoris A, Ibañez A, Piguet O, Kumfor F. Thinking versus feeling: How interoception and cognition influence emotion recognition in behavioural-variant frontotemporal dementia, Alzheimer's disease, and Parkinson's disease. Cortex 2023; 163:66-79. [PMID: 37075507 PMCID: PMC11177281 DOI: 10.1016/j.cortex.2023.02.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/18/2022] [Accepted: 02/17/2023] [Indexed: 04/05/2023]
Abstract
Disease-specific mechanisms underlying emotion recognition difficulties in behavioural-variant frontotemporal dementia (bvFTD), Alzheimer's disease (AD), and Parkinson's disease (PD) are unknown. Interoceptive accuracy, accurately detecting internal cues (e.g., one's heart beating), and cognitive abilities are candidate mechanisms underlying emotion recognition. One hundred and sixty-eight participants (52 bvFTD; 41 AD; 24 PD; 51 controls) were recruited. Emotion recognition was measured via the Facial Affect Selection Task or the Mini-Social and Emotional Assessment Emotion Recognition Task. Interoception was assessed with a heartbeat detection task. Participants pressed a button each time they: 1) felt their heartbeat (Interoception); or 2) heard a recorded heartbeat (Exteroception-control). Cognition was measured via the Addenbrooke's Cognitive Examination-III or the Montreal Cognitive Assessment. Voxel-based morphometry analyses identified neural correlates associated with emotion recognition and interoceptive accuracy. All patient groups showed worse emotion recognition and cognition than controls (all P's ≤ .008). Only the bvFTD showed worse interoceptive accuracy than controls (P < .001). Regression analyses revealed that in bvFTD worse interoceptive accuracy predicted worse emotion recognition (P = .008). Whereas worse cognition predicted worse emotion recognition overall (P < .001). Neuroimaging analyses revealed that the insula, orbitofrontal cortex, and amygdala were involved in emotion recognition and interoceptive accuracy in bvFTD. Here, we provide evidence for disease-specific mechanisms for emotion recognition difficulties. In bvFTD, emotion recognition impairment is driven by inaccurate perception of the internal milieu. Whereas, in AD and PD, cognitive impairment likely underlies emotion recognition deficits. The current study furthers our theoretical understanding of emotion and highlights the need for targeted interventions.
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Affiliation(s)
- Jessica L Hazelton
- The University of Sydney, School of Psychology, Sydney, Australia; The University of Sydney, Brain & Mind Centre, Sydney, Australia
| | - Sol Fittipaldi
- Cognitive Neuroscience Center (CNC) Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Facultad de Psicología, Universidad Nacional de Córdoba, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Matias Fraile-Vazquez
- Cognitive Neuroscience Center (CNC) Universidad de San Andres, Buenos Aires, Argentina
| | - Marion Sourty
- The University of Sydney, Brain & Mind Centre, Sydney, Australia; The University of Sydney, School of Engineering, Sydney, Australia
| | - Agustina Legaz
- Cognitive Neuroscience Center (CNC) Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Facultad de Psicología, Universidad Nacional de Córdoba, Argentina
| | - Anna L Hudson
- Flinders University, College of Medicine and Public Health, Adelaide, Australia; Neuroscience Research Australia (NeuRA), Sydney, Australia; The University of New South Wales, School of Medical Sciences, Sydney, Australia
| | - Indira Garcia Cordero
- Cognitive Neuroscience Center (CNC) Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada
| | - Paula C Salamone
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
| | - Adrian Yoris
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Institute of Cognitive and Translational Neuroscience (INCYT), Buenos Aires, Argentina
| | - Agustín Ibañez
- Cognitive Neuroscience Center (CNC) Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Global Brain Health Institute, University of California, San Francisco, USA; Trinity College Dublin (TCD), Dublin, Ireland
| | - Olivier Piguet
- The University of Sydney, School of Psychology, Sydney, Australia; The University of Sydney, Brain & Mind Centre, Sydney, Australia
| | - Fiona Kumfor
- The University of Sydney, School of Psychology, Sydney, Australia; The University of Sydney, Brain & Mind Centre, Sydney, Australia.
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