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Garcia Castro J, Rubio‐Guerra S, Casaletto KB, Selma González J, Memel M, Vaqué‐Alcázar L, Morcillo‐Nieto A, Arriola‐Infante J, Dols‐Icardo O, Bejanin A, Belbin O, Fortea J, Alcolea D, Carmona‐Iragui M, Barroeta I, Santos‐Santos M, Sánchez Saudinós MB, Sala Matavera I, Heuer HW, Forsberg LK, Kantarci K, Staffaroni AM, Tartaglia C, Rankin KP, Boeve B, Boxer A, Rosen HJ, Lleó A, Illán‐Gala I. Sex differences in the executive and behavioral reserve of autosomal dominant frontotemporal dementia. Alzheimers Dement 2025; 21:e70070. [PMID: 40277045 PMCID: PMC12022895 DOI: 10.1002/alz.70070] [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: 08/20/2024] [Revised: 02/04/2025] [Accepted: 02/10/2025] [Indexed: 04/26/2025]
Abstract
INTRODUCTION Self-reported sex influences brain resilience, but its role in genetic frontotemporal dementia (FTD) remains unclear. METHODS We analyzed 394 genetic-FTD patients and 279 controls from the ALLFTD consortium, assessing annual neuropsychological performance and MRI-based cortical thickness. Clinical characteristics and cortical thickness were compared between sexes. We used the residuals of linear regression models, which predict each participant's cognitive and behavioral performance levels relative to cortical thickness, as a proxy for reserve. We then modeled sex differences in longitudinal trajectories with linear mixed-effects models. RESULTS Symptomatic females with genetic FTD had lower frontal cortical thickness than males, and the C9orf72 subgroup showed lower-than-expected frontal cortical thickness for a given level of executive functioning. Differences in cognitive reserve between sexes peaked near symptom onset but diminished thereafter. DISCUSSION Females with genetic FTD showed higher cognitive reserve than males, suggesting that self-reported sex modulates resilience to frontotemporal neurodegeneration. HIGHLIGHTS Females with genetic FTD showed higher cognitive reserve than males. Those differences were particularly pronounced in the C9orf72 and GRN subgroups. The higher cognitive reserve in females declined as the disease progressed.
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Affiliation(s)
- Jesús Garcia Castro
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Sara Rubio‐Guerra
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Kaitlin B. Casaletto
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Judit Selma González
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Molly Memel
- Ray Dolby Brain Health CenterSan FranciscoCaliforniaUSA
| | - Lídia Vaqué‐Alcázar
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
| | - Alejandra Morcillo‐Nieto
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - José Arriola‐Infante
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
| | - Oriol Dols‐Icardo
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Alexandre Bejanin
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Olivia Belbin
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Maria Carmona‐Iragui
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Isabel Barroeta
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Miguel Santos‐Santos
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - María Belen Sánchez Saudinós
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Isabel Sala Matavera
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Hilary W. Heuer
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | | | - Adam M. Staffaroni
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
| | - Katherine P. Rankin
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Brad Boeve
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Adam Boxer
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Howard J. Rosen
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
| | - Ignacio Illán‐Gala
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
- Departament de MedicinaUniversitat Autònoma de BarcelonaCerdanyola del VallésSpain
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Coleman KKL, Berry S, Cummings J, Hsiung GYR, Laforce R, Huey E, Ducharme S, Tartaglia MC, Mendez MF, Onyike C, Domoto-Reilly K, Masellis M, Herrmann N, Porsteinsson A, Detry MA, Stewart C, Bosse AL, McGlothlin A, Dias B, Pandey S, Mayich M, Pasternak SH, Ruiz Garcia R, Restrepo-Martinez M, Feldman H, Boxer AL, Finger EC. Intranasal oxytocin for apathy in people with frontotemporal dementia (FOXY): a multicentre, randomised, double-blind, placebo-controlled, adaptive, crossover, phase 2a/2b superiority trial. Lancet Neurol 2025; 24:128-139. [PMID: 39862881 DOI: 10.1016/s1474-4422(24)00456-3] [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: 08/09/2024] [Revised: 11/04/2024] [Accepted: 11/07/2024] [Indexed: 01/27/2025]
Abstract
BACKGROUND No treatments exist for apathy in people with frontotemporal dementia. Previously, in a randomised double-blind, placebo-controlled, dose-finding study, intranasal oxytocin administration in people with frontotemporal dementia improved apathy ratings on the Neuropsychiatric Inventory over 1 week and, in a randomised, double-blind, placebo-controlled, crossover study, a single dose of 72 IU oxytocin increased blood-oxygen-level-dependent signal in limbic brain regions. We aimed to determine whether longer treatment with oxytocin improves apathy in people with frontotemporal dementia. METHODS We conducted a multicentre, randomised, double-blind, placebo-controlled, adaptive, crossover, phase 2a/2b trial, enrolling participants from 11 expert frontotemporal dementia outpatient clinics across Canada and the USA. People aged 30-80 years with a diagnosis of probable frontotemporal dementia, a Neuropsychiatric Inventory apathy score of 2 or higher, a study partner who interacted with them for at least 3 h per day, and stable cognitive and behavioural medications for 30 days were eligible for inclusion. In stage 1, participants were randomly assigned (1:1:1:1:1:1) to one of three dose schedules (every day, every other day, and every third day) of 72 IU intranasal oxytocin or placebo and to the order they would received the intervention in the crossover; intranasal oxytocin or placebo were administered twice daily for 6 weeks, with a 6-week washout and then crossover to the other intervention. In stage 2, new participants were randomised (1:1) to the dose that had been determined as optimal in stage 1 or to placebo, with crossover as in stage 1. Randomisation used variable block sizes and was stratified by participant sex and Clinical Dementia Rating severity score. All kits of investigational product were identical and produced centrally, and all local teams, study staff, and participants were masked to treatment allocation and order. The primary outcome was difference in the change in Neuropsychiatric Inventory apathy scores for oxytocin versus placebo periods in the per-protocol population after 6 weeks of treatment. Safety was assessed at each visit via electrocardiogram, blood work, and collection of data on adverse events. This trial is registered at ClinicalTrials.gov (NCT03260920). FINDINGS Between Jan 31, 2018, and Dec 11, 2020, 70 patients were screened for stage 1 and 60 (86%) were enrolled. 45 (75%) completed both treatment periods of stage 1. 72 IU oxytocin every third day was the optimal dose schedule from stage 1 based on its Bayesian posterior probability (Pr(Best)=0·478). Between June 28, 2021, and Jan 31, 2023, 42 patients were screened for stage 2, and 34 (81%) were enrolled. 28 (82%) completed both treatment periods in stage 2. 38 (40%) of 94 participants were female and 56 (60%) were male (mean age 65·9 years, SD 8·2) Treatment with oxytocin every third day resulted in an improved Neuropsychiatric Inventory apathy score, with an estimated -1·32 points (95% CI -2·43 to -0·21) relative to placebo (one sided p=0·010). Two adverse events were reported in at least 5% of participants: upper respiratory tract infection (five [6%] of 78 participants on placebo and three [5%] on every third day at all doses of oxytocin) and headache (two [3%] participants on placebo, one [7%] of 15 participants on oxytocin every day, and two [4%] of 55 participants on oxytocin every third day). No adverse events were attributed to oxytocin treatment. INTERPRETATION Intranasal oxytocin given every third day was well tolerated and was associated with a small reduction in apathy in patients with frontotemporal dementia. Future trials might investigate intermittent dosing of more potent formulations than in this study, to establish whether larger effects are possible. FUNDING Canadian Institutes of Health Research and Weston Foundation.
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Affiliation(s)
- Kristy K L Coleman
- Department of Epidemiology and Biostatistics, University of Western Ontario, London, ON, Canada; Department of Cognitive Neurology, St Joseph's Health Care London, London, ON, Canada
| | | | - Jeffrey Cummings
- Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Ging-Yuek R Hsiung
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Robert Laforce
- Département des Sciences Neurologiques, CHU de Québec, Quebec City, QC, Canada; Department of Neurology, Laval University, Quebec City, QC, Canada
| | - Edward Huey
- Department of Psychiatry and Human Behaviour, Brown University Warren Alpert Medical School, Providence, RI, USA; Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Simon Ducharme
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | | | - Mario F Mendez
- Department of Neurology and Psychiatry, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA
| | - Chiadi Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Mario Masellis
- Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Anton Porsteinsson
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | | | - Chloe Stewart
- Department of Cognitive Neurology, St Joseph's Health Care London, London, ON, Canada
| | | | | | - Bryan Dias
- Department of Cardiology, London Health Sciences Centre, London, ON, Canada
| | - Sachin Pandey
- Department of Medical Imaging, London Health Sciences Centre, London, ON, Canada
| | - Michael Mayich
- Department of Medical Imaging, London Health Sciences Centre, London, ON, Canada
| | - Stephen H Pasternak
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada; Department of Cognitive Neurology, St Joseph's Health Care London, London, ON, Canada
| | - Ramiro Ruiz Garcia
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada; Department of Neurology, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - Miguel Restrepo-Martinez
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada; Department of Psychiatry, Las Americas Auna Clinic, Medellin, Colombia
| | - Howard Feldman
- Department of Neurosciences, University of California, San Diego, CA, USA
| | - Adam L Boxer
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Elizabeth C Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada; Department of Cognitive Neurology, St Joseph's Health Care London, London, ON, Canada.
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Rajbanshi B, Prufer Q C Araujo I, VandeVrede L, Ljubenkov PA, Staffaroni AM, Heuer HW, Lario Lago A, Ramos EM, Petrucelli L, Gendron T, Dage JL, Seeley WW, Grinberg LT, Spina S, Bateman RJ, Rosen HJ, Boeve BF, Boxer AL, Rojas JC. Clinical and neuropathological associations of plasma Aβ 42/Aβ 40, p-tau217 and neurofilament light in sporadic frontotemporal dementia spectrum disorders. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2025; 17:e70078. [PMID: 39886325 PMCID: PMC11780117 DOI: 10.1002/dad2.70078] [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: 11/22/2024] [Accepted: 11/23/2024] [Indexed: 02/01/2025]
Abstract
INTRODUCTION Plasma amyloid beta42/amyloid beta40 (Aβ42/Aβ40) and phosphorylated tau217 (p-tau217) identify individuals with primary Alzheimer's disease (AD). They may detect AD co-pathology in the setting of other primary neurodegenerative diseases, but this has not been systematically studied. METHODS We compared the clinical, neuroimaging, and neuropathological associations of plasma Aβ42/Aβ40 (mass spectrometry), p-tau217 (electrochemiluminescence), and neurofilament light ([NfL], single molecule array [Simoa]), as markers of AD co-pathology, in a sporadic frontotemporal dementia (FTD) cohort (n = 620). RESULTS Aβ42/Aβ40 showed no clinicopathological associations. High p-tau217 was present in amnestic dementia (AmD) presumed to be due to FTD, logopenic primary progressive aphasia (lvPPA), and APOEε4 carriers, and correlated with worse baseline and longitudinal clinical scores, lower hippocampal volumes, and more severe AD co-pathology (Braak Stage). NfL was elevated in all FTD phenotypes, and correlated with clinical scores and frontotemporal brain volumes. DISCUSSION Plasma p-tau217 has clinical, neuroimaging, and neuropathological correlates in sporadic FTD and may identify FTD cases with AD co-pathology. Highlights Alzheimer's disease (AD) features could be identified with plasma phosphorylated tau217 (p-tau217) in frontotemporal lobar degeneration (FTLD).Plasma p-tau217 is a better discriminator of AD co-pathology and AD-associated features in FTLD than plasma amyloid beta42/amyloid beta40 (Aβ42/Aβ40) and neurofilament light (NfL).In FTLD, plasma p-tau217, but not Aβ42/Aβ40 or neurofilament light, has phenotypical, neurocognitive, and neuroimaging correlates suggestive of AD co-pathology.
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Affiliation(s)
- Binita Rajbanshi
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Igor Prufer Q C Araujo
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lawren VandeVrede
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Peter A. Ljubenkov
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Adam M. Staffaroni
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Hilary W. Heuer
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Argentina Lario Lago
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Eliana Marisa Ramos
- Department of Neurology, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | | | - Tania Gendron
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Jeffrey L. Dage
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - William W. Seeley
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lea T. Grinberg
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Salvatore Spina
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Randall J. Bateman
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Howard J. Rosen
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | | - Adam L. Boxer
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Julio C. Rojas
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
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Fieldhouse JLP, van Engelen ME, Handgraaf D, de Boer SCM, van ’t Hooft JJ, Schouws SNTM, van Grootheest D, Kerssens C, Duits FH, van Harten AC, Oudega ML, Vijverberg EGB, Pijnenburg YAL. Trajectories of behavior and social cognition in behavioral variant frontotemporal dementia and primary psychiatric disorders: A call for better operationalization of socioemotional changes. Eur J Neurol 2024; 31:e16426. [PMID: 39171655 PMCID: PMC11555130 DOI: 10.1111/ene.16426] [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: 03/28/2024] [Revised: 07/12/2024] [Accepted: 07/18/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND AND PURPOSE Behavioral variant frontotemporal dementia (bvFTD) and primary psychiatric disorders (PPD), such as mood, psychotic, and autism spectrum disorders, share similar clinical characteristics of behavior and social cognition. Better understanding of clinical progression in bvFTD and PPD is essential for adequate disease monitoring and trial design. METHODS In this longitudinal study (N = 89), patients with bvFTD and PPD with at least one follow-up assessment were included from the Social Brain Project of the Alzheimer Center Amsterdam. Behavioral change and social cognitive decline were assessed via informant-rated questionnaires (Cambridge Behavioral Inventory-Revised, Frontal Behavioral Inventory [FBI], Stereotypy Rating Inventory, Frontotemporal Dementia Rating Scale, Revised Self-Monitoring Scale [RSMS]-caregiver) and patient assessment (Ekman 60-Faces Test, RSMS-patient, Emotional Contagion Scale). Clinical trajectories (median = 1.4 years, interquartile range = 1.0-2.2) were examined using linear mixed models. In a subsample, associations with baseline serum neurofilament light (sNfL) were examined. RESULTS At baseline, behavioral and social cognitive symptoms were similar between diagnosis groups, except for poorer emotion recognition in bvFTD. Over time, behavioral symptoms worsened in bvFTD, whereas most measures remained stable and the FBI improved in PPD. Regarding social cognition, emotion recognition and caregiver-reported socioemotional sensitivity worsened in bvFTD and remained stable in PPD. Patient-reported social cognitive measures did not change over time. Higher sNfL was associated with faster behavioral change. CONCLUSIONS Trajectories of behavior and social cognition differentiate bvFTD from PPD, provided that social cognition is not patient-reported. Therefore, we stress the need to optimize longitudinal social cognitive assessment in bvFTD. sNfL may be a useful prognostic marker of behavioral progression in neuropsychiatric populations.
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Affiliation(s)
- Jay L. P. Fieldhouse
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Marie‐Paule E. van Engelen
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Dédé Handgraaf
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Sterre C. M. de Boer
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Jochum J. van ’t Hooft
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Sigfried N. T. M. Schouws
- Department of PsychiatryAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- GGZ inGeest Mental Health CareAmsterdamthe Netherlands
| | - Daniël van Grootheest
- Department of PsychiatryAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- GGZ inGeest Mental Health CareAmsterdamthe Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep, and StressAmsterdamthe Netherlands
| | - Cora Kerssens
- Department of PsychiatryAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- GGZ inGeest Mental Health CareAmsterdamthe Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep, and StressAmsterdamthe Netherlands
| | - Flora H. Duits
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Argonde C. van Harten
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Mardien L. Oudega
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
- Department of PsychiatryAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- GGZ inGeest Mental Health CareAmsterdamthe Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep, and StressAmsterdamthe Netherlands
| | - Everard G. B. Vijverberg
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Yolande A. L. Pijnenburg
- Department of Neurology, Alzheimer Center AmsterdamAmsterdam University Medical Center, location Vrije Universiteit Medical CenterAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
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5
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Fieldhouse JLP, van Paassen DN, van Engelen MPE, De Boer SCM, Hartog WL, Braak S, Schoonmade LJ, Schouws SNTM, Krudop WA, Oudega ML, Mutsaerts HJMM, Teunissen CE, Vijverberg EGB, Pijnenburg YAL. The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials. Front Aging Neurosci 2024; 16:1382593. [PMID: 38784446 PMCID: PMC11112081 DOI: 10.3389/fnagi.2024.1382593] [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: 02/05/2024] [Accepted: 04/16/2024] [Indexed: 05/25/2024] Open
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is a neurodegenerative disorder characterized by diverse and prominent changes in behavior and personality. One of the greatest challenges in bvFTD is to capture, measure and predict its disease progression, due to clinical, pathological and genetic heterogeneity. Availability of reliable outcome measures is pivotal for future clinical trials and disease monitoring. Detection of change should be objective, clinically meaningful and easily assessed, preferably associated with a biological process. The purpose of this scoping review is to examine the status of longitudinal studies in bvFTD, evaluate current assessment tools and propose potential progression markers. A systematic literature search (in PubMed and Embase.com) was performed. Literature on disease trajectories and longitudinal validity of frequently-used measures was organized in five domains: global functioning, behavior, (social) cognition, neuroimaging and fluid biomarkers. Evaluating current longitudinal data, we propose an adaptive battery, combining a set of sensitive clinical, neuroimaging and fluid markers, adjusted for genetic and sporadic variants, for adequate detection of disease progression in bvFTD.
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Affiliation(s)
- Jay L. P. Fieldhouse
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Dirk N. van Paassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Marie-Paule E. van Engelen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Sterre C. M. De Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Willem L. Hartog
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Simon Braak
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, Netherlands
| | | | - Sigfried N. T. M. Schouws
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Welmoed A. Krudop
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Mardien L. Oudega
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Henk J. M. M. Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
| | - Charlotte E. Teunissen
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
| | - Everard G. B. Vijverberg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
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6
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St-Georges MA, Wang L, Chapleau M, Migliaccio R, Carrier T, Montembeault M. Social cognition and behavioral changes in patients with posterior cortical atrophy. J Neurol 2024; 271:1439-1450. [PMID: 38032370 DOI: 10.1007/s00415-023-12089-z] [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: 09/26/2023] [Revised: 10/28/2023] [Accepted: 10/31/2023] [Indexed: 12/01/2023]
Abstract
Posterior cortical atrophy (PCA) is a rare neurodegenerative condition characterized by progressive visual and visuospatial dysfunction. The consensus criteria state that patients should present "relatively spared behavior and personality" in early stages. However, limited research has focused on these symptoms in PCA. This study compared 157 patients with PCA in early stages of the disease with 352 healthy controls (HC), 202 typical AD (tAD), and 177 logopenic variant primary progressive aphasia (lvPPA) patients from the National Alzheimer's Coordinating Center (NACC) dataset. They were compared using clinician ratings of behavioral symptoms, informant- and clinician-filled questionnaires and patient-facing tests of behavior and social cognition. Results showed that PCA individuals exhibited many behavioral symptoms, the more frequently reported being anxiety, depression, apathy, and irritability. During cognitive testing, clinicians observed disorganized and reactive behaviors, but no insensitive behaviors. Informant reports indicated that PCA patients exhibited higher levels of inhibition and anxiety in response to stimuli associated with non-reward, novelty, and punishment. Social norms knowledge and empathy were overall preserved, although slight decreases in perspective-taking and socioemotional sensitivity were observed on informant-rated questionnaires. Except for more elevated neuropsychiatric symptoms in tAD, the three AD variants had similar profiles. Our findings provide insights into the social cognition and behavioral profiles of PCA, highlighting patterns of preservations and mild impairments, even in the early stages of the disease. These results contribute to a more complete understanding of non-visual symptoms in PCA and have implications for diagnostic and intervention strategies.
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Affiliation(s)
| | - Linshan Wang
- Department of Psychology, McGill University, Montréal, QC, H3A 1G1, Canada
| | - Marianne Chapleau
- Memory & Aging Center, University of California in San Francisco, San Francisco, CA, 94158, USA
| | - Raffaella Migliaccio
- FrontLab, INSERM U1127, Institut du cerveau, Hôpital Pitié-Salpêtrière, Paris, France
- Centre de Référence des Démences Rares ou Précoces, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
- Department of Neurology, Institute of Memory and Alzheimer's Disease, Centre of Excellence of Neurodegenerative Disease, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Thomas Carrier
- Douglas Research Centre, Montréal, QC, H4H 1R3, Canada
- Département de Psychologie, Université du Québec à Montréal, Montréal, QC, H2X 3P2, Canada
| | - Maxime Montembeault
- Douglas Research Centre, Montréal, QC, H4H 1R3, Canada.
- Department of Psychiatry, McGill University, Montréal, QC, H3A 1A1, Canada.
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7
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Panzavolta A, Cerami C, Marcone A, Zamboni M, Iannaccone S, Dodich A. Diagnostic Performance of Socio-Emotional Informant-Based Questionnaires for the Clinical Detection of the Behavioral Variant of Frontotemporal Dementia. J Alzheimers Dis 2024; 97:1249-1260. [PMID: 38277289 DOI: 10.3233/jad-230591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
BACKGROUND Although social cognitive dysfunction is a major feature of the behavioral variant of frontotemporal dementia (bvFTD), quantitative measurement of social behavior changes is poorly available in clinical settings. OBJECTIVE The aim of the study is to evaluate diagnostic accuracy of social-emotional questionnaires in distinguishing bvFTD from healthy control (HC) subjects and Alzheimer's disease (AD) patients. METHODS We enrolled 29 bvFTD, 24 AD, and 18 HC subjects matched for age, sex, and education. Two informant-based measures of socio-emotional sensitivity and empathy (i.e., revised Self-Monitoring Scale (rSMS) and Interpersonal Reactivity Index (IRI)) were administered. One-way ANOVA was performed to compare groups, whereas Receiver Operating Characteristics (ROC) curve analysis tested questionnaire ability in distinguishing groups. A short version of IRI (sIRI) was obtained by excluding the non-contributing subscale (i.e., personal distress). RESULTS Compared to HC and AD, bvFTD showed significantly lower scores in rSMS and IRI scores, except for IRI personal distress subscale. The sIRI showed an excellent performance in early diagnosis (bvFTD versus HC = AUC 0.95). Both sIRI and rSMS showed good performance in distinguishing bvFTD from AD (AUC 0.83). CONCLUSIONS ROC analyses support the usefulness of informant social questionnaires in memory clinics and their potential value in screening procedures for research eligibility in forthcoming trials. In the timely diagnosis of bvFTD patients, IRI and rSMS may supply crucial information for the early detection of signs and symptoms affecting social-emotional skills, which might otherwise be underrecognized.
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Affiliation(s)
- Andrea Panzavolta
- IUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy
| | - Chiara Cerami
- IUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Alessandra Marcone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Michele Zamboni
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Sandro Iannaccone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Alessandra Dodich
- Center for Neurocognitive Rehabilitation - CIMeC, University of Trento, Rovereto (TN), Italy
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8
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Dodich A, Cerami C. Answer to "Current Potential for Clinical Optimization of Social Cognition Assessment for Frontotemporal Dementia and Primary Psychiatric Disorders". Neuropsychol Rev 2023; 33:714-716. [PMID: 36070125 PMCID: PMC10769901 DOI: 10.1007/s11065-022-09556-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/25/2022] [Indexed: 10/14/2022]
Affiliation(s)
- Alessandra Dodich
- Center for Mind/Brain Sciences-CIMeC, University of Trento, 38068, Rovereto, TN, Italy.
| | - Chiara Cerami
- IUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS Pavia, 27100, Pavia, Italy
- Cognitive Computational Neuroscience Research Unit, IRCCS Mondino Foundation, 27100, Pavia, Italy
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Couto B, Fox S, Tartaglia MC, Rogaeva E, Antwi J, Bhakta P, Kovacs GG, Lang AE. The Rossy Progressive Supranuclear Palsy Centre: Creation and Initial Experience. Can J Neurol Sci 2023; 50:845-852. [PMID: 36600512 DOI: 10.1017/cjn.2022.332] [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: 01/06/2023]
Abstract
OBJECTIVE To describe the development and initial experience of a clinical research program in progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) in Canada: The Rossy PSP Centre, to share the data acquisition tools adopted, and to report preliminary results. METHODS Extensive demographic and longitudinal clinical information is collected every 6 months using standardized forms. Biofluids are collected for biobanking and genetic analysis, and many patients are enrolled in neuroimaging research protocols. Brain donation is an important component of the program, and standardized processing protocols have been established, including very short death to autopsy times in patients undergoing medical assistance in dying. RESULTS Between Oct 2019 and Dec 2021, 132 patients were screened, 91 fulfilling criteria for PSP and 19 for CBS; age 71 years; 41% female; duration 5 years, age-of-onset 66 years. The most common symptoms at onset were postural instability and falls (45%), cognitive-behavioral changes (22%), and Parkinsonism (9%). The predominant clinical phenotype was Richardson syndrome (82%). Levodopa and amantadine resulted in partial and short-lasting benefit. CONCLUSIONS The Rossy PSP Centre has been established to advance clinical and basic research in PSP and related tauopathies. The extent of the clinical data collected permits deep phenotyping of patients and allows for future clinical and basic research. Preliminary results showed expected distribution of phenotypes, demographics, and response to symptomatic treatments in our cohort. Longitudinal data will provide insight into the early diagnosis and management of PSP. Future steps include enrollment of patients in earlier stages, development of biomarkers, and fast-tracking well-characterized patients into clinical trials.
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Affiliation(s)
- Blas Couto
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Susan Fox
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Department of Medicine, Division of Neurology, University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Department of Medicine, Division of Neurology, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- Memory Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - Jeffrey Antwi
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Puja Bhakta
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Gabor G Kovacs
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Department of Medicine, Division of Neurology, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology and Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program & Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Anthony E Lang
- Edmond J. Safra Program in Parkinson's Disease, Rossy Progressive Supranuclear Palsy Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Department of Medicine, Division of Neurology, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
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Asken BM, Ljubenkov PA, Staffaroni AM, Casaletto KB, Vandevrede L, Cobigo Y, Rojas-Rodriguez JC, Rankin KP, Kornak J, Heuer H, Shigenaga J, Appleby BS, Bozoki AC, Domoto-Reilly K, Ghoshal N, Huey E, Litvan I, Masdeu JC, Mendez MF, Pascual B, Pressman P, Tartaglia MC, Kremers W, Forsberg LK, Boeve BF, Boxer AL, Rosen HJ, Kramer JH. Plasma inflammation for predicting phenotypic conversion and clinical progression of autosomal dominant frontotemporal lobar degeneration. J Neurol Neurosurg Psychiatry 2023; 94:541-549. [PMID: 36977552 PMCID: PMC10313977 DOI: 10.1136/jnnp-2022-330866] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/28/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND Measuring systemic inflammatory markers may improve clinical prognosis and help identify targetable pathways for treatment in patients with autosomal dominant forms of frontotemporal lobar degeneration (FTLD). METHODS We measured plasma concentrations of IL-6, TNFα and YKL-40 in pathogenic variant carriers (MAPT, C9orf72, GRN) and non-carrier family members enrolled in the ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration consortium. We evaluated associations between baseline plasma inflammation and rate of clinical and neuroimaging changes (linear mixed effects models with standardised (z) outcomes). We compared inflammation between asymptomatic carriers who remained clinically normal ('asymptomatic non-converters') and those who became symptomatic ('asymptomatic converters') using area under the curve analyses. Discrimination accuracy was compared with that of plasma neurofilament light chain (NfL). RESULTS We studied 394 participants (non-carriers=143, C9orf72=117, GRN=62, MAPT=72). In MAPT, higher TNFα was associated with faster functional decline (B=0.12 (0.02, 0.22), p=0.02) and temporal lobe atrophy. In C9orf72, higher TNFα was associated with faster functional decline (B=0.09 (0.03, 0.16), p=0.006) and cognitive decline (B=-0.16 (-0.22, -0.10), p<0.001), while higher IL-6 was associated with faster functional decline (B=0.12 (0.03, 0.21), p=0.01). TNFα was higher in asymptomatic converters than non-converters (β=0.29 (0.09, 0.48), p=0.004) and improved discriminability compared with plasma NfL alone (ΔR2=0.16, p=0.007; NfL: OR=1.4 (1.03, 1.9), p=0.03; TNFα: OR=7.7 (1.7, 31.7), p=0.007). CONCLUSIONS Systemic proinflammatory protein measurement, particularly TNFα, may improve clinical prognosis in autosomal dominant FTLD pathogenic variant carriers who are not yet exhibiting severe impairment. Integrating TNFα with markers of neuronal dysfunction like NfL could optimise detection of impending symptom conversion in asymptomatic pathogenic variant carriers and may help personalise therapeutic approaches.
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Affiliation(s)
- Breton M Asken
- Department of Clinical and Health Psychology, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Peter A Ljubenkov
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Adam M Staffaroni
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Kaitlin B Casaletto
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Lawren Vandevrede
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Yann Cobigo
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Julio C Rojas-Rodriguez
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Katherine P Rankin
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Hilary Heuer
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Judy Shigenaga
- Department of Medicine, Veterans Affairs Health Care System, San Francisco, California, USA
| | - Brian S Appleby
- Departments of Neurology, Psychiatry, and Pathology, Case Western Reserve, Cleveland, Ohio, USA
| | - Andrea C Bozoki
- Department of Neurology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Kimiko Domoto-Reilly
- Department of Neurology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Nupur Ghoshal
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Edward Huey
- Departments of Psychiatry and Neurology, Columbia University, New York, New York, USA
| | - Irene Litvan
- Department of Neurology, University of California, San Diego, La Jolla, California, USA
| | - Joseph C Masdeu
- Department of Neurology, Nantz National Alzheimer Center, Houston Methodist, Houston, Texas, USA
| | - Mario F Mendez
- Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
| | - Belen Pascual
- Department of Neurology, Nantz National Alzheimer Center, Houston Methodist, Houston, Texas, USA
| | - Peter Pressman
- Department of Neurology, University of Colorado Denver School of Medicine, Aurora, Colorado, USA
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
- Canadian Sports Concussion Project, Toronto, Ontario, Canada
| | - Walter Kremers
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA
| | - Leah K Forsberg
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Brad F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Adam L Boxer
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Howie J Rosen
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
| | - Joel H Kramer
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, California, USA
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11
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Eisenmenger LB, Peret A, Famakin BM, Spahic A, Roberts GS, Bockholt JH, Johnson KM, Paulsen JS. Vascular contributions to Alzheimer's disease. Transl Res 2023; 254:41-53. [PMID: 36529160 PMCID: PMC10481451 DOI: 10.1016/j.trsl.2022.12.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/05/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and is characterized by progressive neurodegeneration and cognitive decline. Understanding the pathophysiology underlying AD is paramount for the management of individuals at risk of and suffering from AD. The vascular hypothesis stipulates a relationship between cardiovascular disease and AD-related changes although the nature of this relationship remains unknown. In this review, we discuss several potential pathological pathways of vascular involvement in AD that have been described including dysregulation of neurovascular coupling, disruption of the blood brain barrier, and reduced clearance of metabolite waste such as beta-amyloid, a toxic peptide considered the hallmark of AD. We will also discuss the two-hit hypothesis which proposes a 2-step positive feedback loop in which microvascular insults precede the accumulation of Aß and are thought to be at the origin of the disease development. At neuroimaging, signs of vascular dysfunction such as chronic cerebral hypoperfusion have been demonstrated, appearing early in AD, even before cognitive decline and alteration of traditional biomarkers. Cerebral small vessel disease such as cerebral amyloid angiopathy, characterized by the aggregation of Aß in the vessel wall, is highly prevalent in vascular dementia and AD patients. Current data is unclear whether cardiovascular disease causes, precipitates, amplifies, precedes, or simply coincides with AD. Targeted imaging tools to quantitatively evaluate the intracranial vasculature and longitudinal studies in individuals at risk for or in the early stages of the AD continuum could be critical in disentangling this complex relationship between vascular disease and AD.
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Affiliation(s)
- Laura B Eisenmenger
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Anthony Peret
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Bolanle M Famakin
- Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Alma Spahic
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Grant S Roberts
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Jeremy H Bockholt
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Jane S Paulsen
- Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin.
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12
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McKenna MC, Lope J, Bede P, Tan EL. Thalamic pathology in frontotemporal dementia: Predilection for specific nuclei, phenotype-specific signatures, clinical correlates, and practical relevance. Brain Behav 2023; 13:e2881. [PMID: 36609810 PMCID: PMC9927864 DOI: 10.1002/brb3.2881] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Frontotemporal dementia (FTD) phenotypes are classically associated with distinctive cortical atrophy patterns and regional hypometabolism. However, the spectrum of cognitive and behavioral manifestations in FTD arises from multisynaptic network dysfunction. The thalamus is a key hub of several corticobasal and corticocortical circuits. The main circuits relayed via the thalamic nuclei include the dorsolateral prefrontal circuit, the anterior cingulate circuit, and the orbitofrontal circuit. METHODS In this paper, we have reviewed evidence for thalamic pathology in FTD based on radiological and postmortem studies. Original research papers were systematically reviewed for preferential involvement of specific thalamic regions, for phenotype-associated thalamic disease burden patterns, characteristic longitudinal changes, and genotype-associated thalamic signatures. Moreover, evidence for presymptomatic thalamic pathology was also reviewed. Identified papers were systematically scrutinized for imaging methods, cohort sizes, clinical profiles, clinicoradiological associations, and main anatomical findings. The findings of individual research papers were amalgamated for consensus observations and their study designs further evaluated for stereotyped shortcomings. Based on the limitations of existing studies and conflicting reports in low-incidence FTD variants, we sought to outline future research directions and pressing research priorities. RESULTS FTD is associated with focal thalamic degeneration. Phenotype-specific thalamic traits mirror established cortical vulnerability patterns. Thalamic nuclei mediating behavioral and language functions are preferentially involved. Given the compelling evidence for considerable thalamic disease burden early in the course of most FTD subtypes, we also reflect on the practical relevance, diagnostic role, prognostic significance, and monitoring potential of thalamic metrics in FTD. CONCLUSIONS Cardinal manifestations of FTD phenotypes are likely to stem from thalamocortical circuitry dysfunction and are not exclusively driven by focal cortical changes.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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13
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The Assessment of the Socioemotional Disorder in Neurodegenerative Diseases with the Revised Self-Monitoring Scale (RSMS). J Clin Med 2022; 11:jcm11247375. [PMID: 36555991 PMCID: PMC9788527 DOI: 10.3390/jcm11247375] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/30/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Social cognition helps people to understand their own and others' behavior and to modulate the way of thinking and acting in different social situations. Rapid and accurate diagnoses of neurodegenerative diseases are essential, as social cognition is affected by these diseases. The Revised Self-Monitoring Scale (RSMS) is a scale that detects social-emotional cognition deficits. AIM The aim of the current study is to examine how socioemotional parameters are affected by neurodegenerative diseases and whether the RSMS can discern these disorders based on the socioemotional parameters in the Greek population. METHODS/DESIGN A total of 331 dementia subjects were included. Mini Mental State Examination (MMSE) and Addenbrooke's Cognitive Examination (Revised, ACE-R) measurements were used in order to assess the cognitive deficits. The Neuropsychiatric Inventory (NPI) was used for the evaluation of the neuropsychiatric symptoms. The RSMS and its two subscales was used in order to detect the socioemotional deficits. RESULTS The RSMS and its two subscales (RSMS_EX and RSMS_SP) can effectively detect neurodegenerative diseases. The RSMS can detect bvFTD in Alzheimer's Disease (AD), AD in a healthy cohort, behavioral variant Frontotemporal Dementia (bvFTD) in a healthy cohort, bvFTD in Parkinson's Disease (PD) and Frontotemporal Semantic Dementia (FTD/SD) in a healthy cohort. It is a useful tool in order to detect frontotemporal dementias. RSMS correlated negatively with the NPI questionnaire total and the subcategories of apathy, disinhibition and eating disorders. The RSMS results are associated with the ACE-R score (specifically verbal fluency). CONCLUSIONS The RSMS is a helpful tool in order to identify socioemotional deficits in neurodegenerative dementias. It is also a useful scale that can discern bvFTD and svPPA in AD patients. A worse RSMS score correlates with a worse ACE-R and NPI. It seems to be a useful scale that can reliably measure social behavior in non-reversible neurodegenerative disorders, such as AD, FTD (bvFTD, svPPA), PDD and PD. The results also apply to the Greek population.
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14
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Ramos-Platt L, Elman L, Shieh PB. Experience and Perspectives in the US on the Evolving Treatment Landscape in Spinal Muscular Atrophy. Int J Gen Med 2022; 15:7341-7353. [PMID: 36157294 PMCID: PMC9491367 DOI: 10.2147/ijgm.s369021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 08/10/2022] [Indexed: 12/02/2022] Open
Abstract
Spinal muscular atrophy (SMA) is a rare, progressive neuromuscular disorder that, until recently, was the most common inherited cause of infant mortality. Since 2016, three disease-modifying therapies have emerged, nusinersen, onasemnogene abeparvovec-xioi, and risdiplam, leading to a transformation in the SMA treatment landscape, changes in disease trajectories, and a profound impact on clinical care. This environment poses a challenge to making informed treatment decisions, including initial treatment choice, treatment changes, and potential use of combination therapies as new data emerge. To better understand factors that influence physician-patient decision-making, a roundtable discussion was convened by Biogen (sponsor) with a panel of four US SMA experts. This report shares the panel’s opinions and clinical experiences, with the goals of helping clinicians and people with SMA and their families to better understand the factors influencing real-world treatment decisions and stimulating a broader discussion in the SMA community. The panelists highlighted that patients are often heavily involved in treatment decisions, and physicians must be aware of current data to guide patients in making the best decisions. Thus, in the absence of data from head-to-head treatment comparisons, physicians’ roles include reviewing treatment options and describing what is known of the benefits, challenges, and potential side effects of each therapy with patients and families. For infants and young children, the panelists expressed a sense of urgency for early intervention to minimize motor function loss, whereas the goal for adults is long-term disease stabilization. In the panelists’ experience, factors that influence patients’ decisions to change to an alternative therapy include convenience, administration route, novelty of therapy, and hope for improved function, while reasons for returning to a previous therapy include a perception of decreased efficacy and side effects. Ongoing clinical trials and analyses of real-world experiences should further inform treatment decisions and optimize patient outcomes.
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Affiliation(s)
- Leigh Ramos-Platt
- Department of Pediatrics, Keck School of Medicine, University of Southern California and Children’s Hospital of Los Angeles, Los Angeles, CA, USA
| | - Lauren Elman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Perry B Shieh
- Department of Neurology and Pediatrics, University of California Los Angeles, Los Angeles, CA, USA
- Correspondence: Perry B Shieh, Department of Neurology and Pediatrics, University of California Los Angeles, Los Angeles, CA, USA, Email
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15
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Vivash L, Malpas CB, Meletis C, Gollant M, Eratne D, Li QX, McDonald S, O'Brien WT, Brodtmann A, Darby D, Kyndt C, Walterfang M, Hovens CM, Velakoulis D, O'Brien TJ. A phase 1b open-label study of sodium selenate as a disease-modifying treatment for possible behavioral variant frontotemporal dementia. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12299. [PMID: 35574563 PMCID: PMC9070376 DOI: 10.1002/trc2.12299] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/07/2022] [Accepted: 03/26/2022] [Indexed: 01/10/2023]
Abstract
Introduction Sodium selenate increases tau dephosphorylation through protein phosphatase 2 activation. Here we report an open‐label Phase 1b study of sodium selenate as a disease‐modifying treatment for behavioral variant frontotemporal dementia (bvFTD). Methods Twelve participants with bvFTD received sodium selenate (15 mg, three times a day) for 52 weeks. Safety assessments were carried out throughout the trial. Primary outcomes were frequency of adverse events (AEs), serious adverse events (SAEs), and discontinuations. Secondary outcomes of potential efficacy included cognitive and behavioral assessments, magnetic resonance imaging (MRI) whole brain volume, and cerebrospinal fluid (CSF) and blood total tau (t‐tau), phosphorylated tau (p‐tau), and neurofilament light (NfL) levels, which were measured at baseline and at week 52. Results Sodium selenate was safe and well tolerated. All participants completed the study, and the majority (64.7%) of reported AEs were mild. One SAE occurred, which was not treatment related. Small declines in MRI and cognitive and behavioral measures were observed over the treatment period. There was no evidence for change in CSF protein levels (t‐tau, p‐tau, or NfL). Further analysis showed two distinct groups when measuring disease progression markers over the course of the study—one (n = 4) with substantial brain atrophy (2.5% to 6.5% reduction) and cognitive and behavioral decline over the 12‐month treatment period, and the second group (n = 7) with no detectable change in cognitive and behavioral measures and less brain atrophy (0.3% to 1.7% reduction). Conclusion Sodium selenate is safe and well tolerated in patients with bvFTD. Randomized‐controlled trials are warranted to investigate potential efficacy.
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Affiliation(s)
- Lucy Vivash
- Department of Neurosciences Central Clinical School Monash University Melbourne Australia.,Department of Neurology Alfred Hospital Melbourne Australia.,Department of Neurology Royal Melbourne Hospital Parkville Australia.,Department of Medicine and Radiology The University of Melbourne Parkville Australia
| | - Charles B Malpas
- Department of Neurosciences Central Clinical School Monash University Melbourne Australia.,Department of Neurology Alfred Hospital Melbourne Australia.,Department of Neurology Royal Melbourne Hospital Parkville Australia.,Melbourne School of Psychological Sciences The Royal Melbourne Hospital The University of Melbourne Parkville Australia
| | - Christian Meletis
- Department of Neurology Royal Melbourne Hospital Parkville Australia.,Department of Medicine and Radiology The University of Melbourne Parkville Australia
| | - Meghan Gollant
- Department of Neurosciences Central Clinical School Monash University Melbourne Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Royal Melbourne Hospital Parkville Australia.,Melbourne Neuropsychiatry Centre University of Melbourne and North-Western Mental Health Parkville Australia.,The National Dementia Diagnostics Laboratory The Florey Institute, The University of Melbourne Parkville Australia
| | - Qiao-Xin Li
- The National Dementia Diagnostics Laboratory The Florey Institute, The University of Melbourne Parkville Australia
| | - Stuart McDonald
- Department of Neurosciences Central Clinical School Monash University Melbourne Australia.,Department of Physiology Anatomy and Microbiology La Trobe University Bundoora Australia
| | - William T O'Brien
- Department of Neurosciences Central Clinical School Monash University Melbourne Australia
| | - Amy Brodtmann
- Department of Neurology Royal Melbourne Hospital Parkville Australia.,Florey Institute of Neuroscience and Mental Health Melbourne
| | - David Darby
- Department of Neurology Alfred Hospital Melbourne Australia.,Department of Neurology Royal Melbourne Hospital Parkville Australia.,Florey Institute of Neuroscience and Mental Health Melbourne
| | - Christopher Kyndt
- Department of Neurology Royal Melbourne Hospital Parkville Australia
| | - Mark Walterfang
- Neuropsychiatry Royal Melbourne Hospital Parkville Australia.,Melbourne Neuropsychiatry Centre University of Melbourne and North-Western Mental Health Parkville Australia
| | - Christopher M Hovens
- Department of Surgery Royal Melbourne Hospital, University of Melbourne Melbourne Australia
| | - Dennis Velakoulis
- Neuropsychiatry Royal Melbourne Hospital Parkville Australia.,Melbourne Neuropsychiatry Centre University of Melbourne and North-Western Mental Health Parkville Australia
| | - Terence J O'Brien
- Department of Neurosciences Central Clinical School Monash University Melbourne Australia.,Department of Neurology Alfred Hospital Melbourne Australia.,Department of Neurology Royal Melbourne Hospital Parkville Australia.,Department of Medicine and Radiology The University of Melbourne Parkville Australia
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16
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Barker MS, Gottesman RT, Manoochehri M, Chapman S, Appleby BS, Brushaber D, Devick KL, Dickerson BC, Domoto-Reilly K, Fields JA, Forsberg LK, Galasko DR, Ghoshal N, Goldman J, Graff-Radford NR, Grossman M, Heuer HW, Hsiung GY, Knopman DS, Kornak J, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Pascual B, Staffaroni AM, Tartaglia MC, Boeve BF, Boxer AL, Rosen HJ, Rankin KP, Cosentino S, Rascovsky K, Huey ED. Proposed research criteria for prodromal behavioural variant frontotemporal dementia. Brain 2022; 145:1079-1097. [PMID: 35349636 PMCID: PMC9050566 DOI: 10.1093/brain/awab365] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/30/2021] [Accepted: 08/24/2021] [Indexed: 01/17/2023] Open
Abstract
At present, no research criteria exist for the diagnosis of prodromal behavioural variant frontotemporal dementia (bvFTD), though early detection is of high research importance. Thus, we sought to develop and validate a proposed set of research criteria for prodromal bvFTD, termed 'mild behavioural and/or cognitive impairment in bvFTD' (MBCI-FTD). Participants included 72 participants deemed to have prodromal bvFTD; this comprised 55 carriers of a pathogenic mutation known to cause frontotemporal lobar degeneration, and 17 individuals with autopsy-confirmed frontotemporal lobar degeneration. All had mild behavioural and/or cognitive changes, as judged by an evaluating clinician. Based on extensive clinical workup, the prodromal bvFTD group was divided into a Development Group (n = 22) and a Validation Group (n = 50). The Development Group was selected to be the subset of the prodromal bvFTD group for whom we had the strongest longitudinal evidence of conversion to bvFTD, and was used to develop the MBCI-FTD criteria. The Validation Group was the remainder of the prodromal bvFTD group and was used as a separate sample on which to validate the criteria. Familial non-carriers were included as healthy controls (n = 165). The frequencies of behavioural and neuropsychiatric features, neuropsychological deficits, and social cognitive dysfunction in the prodromal bvFTD Development Group and healthy controls were assessed. Based on sensitivity and specificity analyses, seven core features were identified: apathy without moderate-severe dysphoria, behavioural disinhibition, irritability/agitation, reduced empathy/sympathy, repetitive behaviours (simple and/or complex), joviality/gregariousness, and appetite changes/hyperorality. Supportive features include a neuropsychological profile of impaired executive function or naming with intact orientation and visuospatial skills, reduced insight for cognitive or behavioural changes, and poor social cognition. Three core features or two core features plus one supportive feature are required for the diagnosis of possible MBCI-FTD; probable MBCI-FTD requires imaging or biomarker evidence, or a pathogenic genetic mutation. The proposed MBCI-FTD criteria correctly classified 95% of the prodromal bvFTD Development Group, and 74% of the prodromal bvFTD Validation Group, with a false positive rate of <10% in healthy controls. Finally, the MBCI-FTD criteria were tested on a cohort of individuals with prodromal Alzheimer's disease, and the false positive rate of diagnosis was 11-16%. Future research will need to refine the sensitivity and specificity of these criteria, and incorporate emerging biomarker evidence.
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Affiliation(s)
- Megan S Barker
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Reena T Gottesman
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Masood Manoochehri
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Silvia Chapman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Brian S Appleby
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
| | - Danielle Brushaber
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Katrina L Devick
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Bradford C Dickerson
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Julie A Fields
- Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Douglas R Galasko
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - Nupur Ghoshal
- Department of Neurology, Washington University, St. Louis, MO, USA
| | - Jill Goldman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | | | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hilary W Heuer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Ging-Yuek Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Irene Litvan
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - Ian R Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Joseph C Masdeu
- Nantz National Alzheimer Center, Houston Methodist Neurological Institute, Houston, TX, USA and Weill Cornell Medicine, NY, USA
| | - Mario F Mendez
- Department of Neurology, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Belen Pascual
- Nantz National Alzheimer Center, Houston Methodist Neurological Institute, Houston, TX, USA and Weill Cornell Medicine, NY, USA
| | - Adam M Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Maria Carmela Tartaglia
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Katherine P Rankin
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Stephanie Cosentino
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward D Huey
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Department of Psychiatry and New York Psychiatric Institute, Columbia University Medical Center, New York, USA
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17
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Rijpma MG, Yang WF, Toller G, Battistella G, Sokolov AA, Sturm VE, Seeley WW, Kramer JH, Miller BL, Rankin KP. Influence of periaqueductal gray on other salience network nodes predicts social sensitivity. Hum Brain Mapp 2022; 43:1694-1709. [PMID: 34981605 PMCID: PMC8886662 DOI: 10.1002/hbm.25751] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 11/22/2021] [Accepted: 11/28/2021] [Indexed: 11/09/2022] Open
Abstract
The intrinsic connectivity of the salience network (SN) plays an important role in social behavior, however the directional influence that individual nodes have on each other has not yet been fully determined. In this study, we used spectral dynamic causal modeling to characterize the effective connectivity patterns in the SN for 44 healthy older adults and for 44 patients with behavioral variant frontotemporal dementia (bvFTD) who have focal SN dysfunction. We examined the relationship of SN effective connections with individuals' socioemotional sensitivity, using the revised self-monitoring scale, an informant-facing questionnaire that assesses sensitivity to expressive behavior. Overall, average SN effective connectivity for bvFTD patients differs from healthy older adults in cortical, hypothalamic, and thalamic nodes. For the majority of healthy individuals, strong periaqueductal gray (PAG) output to right cortical (p < .01) and thalamic nodes (p < .05), but not PAG output to other central pattern generators contributed to sensitivity to socioemotional cues. This effect did not exist for the majority of bvFTD patients; PAG output toward other SN nodes was weak, and this lack of output negatively influenced socioemotional sensitivity. Instead, input to the left vAI from other SN nodes supported patients' sensitivity to others' socioemotional behavior (p < .05), though less effectively. The key role of PAG output to cortical and thalamic nodes for socioemotional sensitivity suggests that its core functions, that is, generating autonomic changes in the body, and moreover representing the internal state of the body, is necessary for optimal social responsiveness, and its breakdown is central to bvFTD patients' social behavior deficits.
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Affiliation(s)
- Myrthe G. Rijpma
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Winson F.Z. Yang
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Psychological Sciences, College of Arts & SciencesTexas Tech UniversityLubbockTexasUSA
| | - Gianina Toller
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Giovanni Battistella
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Arseny A. Sokolov
- Département des Neurosciences Cliniques, Neuroscape@NeuroTech Platform, Service de Neuropsychologie et de NeuroréhabilitationCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Wellcome Centre for Human Neuroimaging, Institute of NeurologyUniversity College LondonLondonUK
- Department of Neurology, Neuroscape CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Virginia E. Sturm
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - William W. Seeley
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Katherine P. Rankin
- Department of Neurology, Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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18
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Benussi A, Alberici A, Samra K, Russell LL, Greaves CV, Bocchetta M, Ducharme S, Finger E, Fumagalli G, Galimberti D, Jiskoot LC, Le Ber I, Masellis M, Nacmias B, Rowe JB, Sanchez-Valle R, Seelaar H, Synofzik M, Rohrer JD, Borroni B. Conceptual framework for the definition of preclinical and prodromal frontotemporal dementia. Alzheimers Dement 2021; 18:1408-1423. [PMID: 34874596 DOI: 10.1002/alz.12485] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/25/2021] [Accepted: 08/30/2021] [Indexed: 12/13/2022]
Abstract
The presymptomatic stages of frontotemporal dementia (FTD) are still poorly defined and encompass a long accrual of progressive biological (preclinical) and then clinical (prodromal) changes, antedating the onset of dementia. The heterogeneity of clinical presentations and the different neuropathological phenotypes have prevented a prior clear description of either preclinical or prodromal FTD. Recent advances in therapeutic approaches, at least in monogenic disease, demand a proper definition of these predementia stages. It has become clear that a consensus lexicon is needed to comprehensively describe the stages that anticipate dementia. The goal of the present work is to review existing literature on the preclinical and prodromal phases of FTD, providing recommendations to address the unmet questions, therefore laying out a strategy for operationalizing and better characterizing these presymptomatic disease stages.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
| | - Antonella Alberici
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
| | - Kiran Samra
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute and Douglas Research Centre, McGill University, Montreal, Québec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Giorgio Fumagalli
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,University of Milan, Milan, Italy
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,University of Milan, Milan, Italy
| | - Lize C Jiskoot
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Isabelle Le Ber
- Paris Brain Institute - Institut du Cerveau - ICM, Sorbonne Université, Inserm U1127, CNRS UMR, Paris, France.,Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Network for Rare Neurological Diseases (ERN-RND), Paris, France
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, and IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, MRC Cognition and Brain Sciences Unit and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | | | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
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19
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Rankin KP, Toller G, Gavron L, La Joie R, Wu T, Shany-Ur T, Callahan P, Krassner M, Kramer JH, Miller BL. Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults. Front Neurol 2021; 12:683162. [PMID: 34557141 PMCID: PMC8452879 DOI: 10.3389/fneur.2021.683162] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 06/04/2021] [Indexed: 11/21/2022] Open
Abstract
Neurodegenerative disease syndromes often affect personality and interpersonal behavior in addition to cognition, but there are few structured observational measures of altered social demeanor validated for this population. We developed the Social Behavior Observer Checklist (SBOCL), a 3-min checklist tool, to facilitate identification of patterns of interpersonal behavior that are diagnostically relevant to different neurodegenerative syndromes. Research assistants without formal clinical training in dementia used the SBOCL to describe participants' behavior, including 125 healthy older adults and 357 patients diagnosed with one of five neurodegenerative disease syndromes: 135 behavioral variant frontotemporal dementia (bvFTD), 57 semantic variant primary progressive aphasia (svPPA), 51 non-fluent variant PPA (nfvPPA), 65 progressive supranuclear palsy (PSP), and 49 amyloid-positive Alzheimer's disease syndrome (AD), all of whom had concurrent 3D T1 MRI scans available for voxel-based morphometry analysis. SBOCL item interrater reliability ranged from moderate to very high, and score elevations showed syndrome-specific patterns. Subscale scores derived from a degree*frequency product of the items had excellent positive predictive value for identifying patients. Specifically, scores above 2 on the Disorganized subscale, and above 3 on the Reactive and Insensitive subscales, were not seen in any healthy controls but were found in many patients with bvFTD, svPPA, nfvPPA, PSP, and AD syndromes. Both the Disorganized and Reactive subscale scores showed significant linear relationships with frontal and temporal gray matter volume that generalized across syndromes. With these initial psychometric characteristics, the SBOCL may be a useful measure to help non-experts identify patients who are appropriate for additional specialized dementia evaluation, without adding time to patient encounters or requiring the presence of an informant.
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Affiliation(s)
- Katherine P Rankin
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Gianina Toller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Lauren Gavron
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Teresa Wu
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Tal Shany-Ur
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Patrick Callahan
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Maggie Krassner
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Joel H Kramer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
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20
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Custodio N, Montesinos R, Cruzado L, Herrera-Perez E, Failoc-Rojas VE, Pintado-Caipa M, Seminario G W, Cuenca J, Gamboa C, Diaz MM. Social Cognition and Behavioral Assessments Improve the Diagnosis of Behavioral Variant of Frontotemporal Dementia in Older Peruvians With Low Educational Levels. Front Neurol 2021; 12:704109. [PMID: 34552551 PMCID: PMC8450322 DOI: 10.3389/fneur.2021.704109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/07/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The behavioral variant of frontotemporal dementia (bvFTD), characterized by early behavioral abnormalities and late memory impairment, is a neurodegenerative disorder with a detrimental impact on patients and their caregivers. bvFTD is often difficult to distinguish from other neurodegenerative diseases, such as Alzheimer's disease (AD), using brief cognitive tests. Combining brief socio-cognitive and behavioral evaluations with standard cognitive testing could better discriminate bvFTD from AD patients. We sought to evaluate the diagnostic accuracy of brief socio-cognitive tests that may differentiate bvFTD and AD patients with low educational levels. Methods: A prospective study was performed on 51 individuals over the age of 50 with low educational levels, with bvFTD or AD diagnosed using published criteria, and who were receiving neurological care at a multidisciplinary neurology clinic in Lima, Peru, between July 2017 and December 2020. All patients had a comprehensive neurological evaluation, including a full neurocognitive battery and brief tests of cognition (Addenbrooke's Cognitive Examination version III, ACE-III), social cognition (Mini-social Cognition and Emotional Assessment, Mini-SEA), and behavioral assessments (Frontal Behavioral Inventory, FBI; Interpersonal Reactivity Index-Emphatic Concern, IRI-EC; IRI-Perspective Taking, IRI-PT; and Self-Monitoring Scale-revised version, r-SMS). Receiver operating characteristic (ROC) analysis to calculate the area under the curve (AUC) was performed to compare the brief screening tests individually and combined to the gold standard of bvFTD and AD diagnoses. Results: The AD group was significantly older than the bvFTD group (p < 0.001). An analysis of the discriminatory ability of the ACE-III to distinguish between patients with AD and bvFTD (AUC = 0.85) and the INECO Frontal Screening (IFS; AUC = 0.78) shows that the former has greater discriminatory ability. Social and behavioral cognition tasks were able to appropriately discriminate bvFTD from AD. The Mini-SEA had high sensitivity and high moderate specificity (83%) for discriminating bvFTD from AD, which increased when combined with the brief screening tests ACE-III and IFS. The FBI was ideal with high sensitivity (83%), as well as the IRI-EC and IRI-PT that also were adequate for distinguishing bvFTD from AD. Conclusions: Our study supports the integration of socio-behavioral measures to the standard global cognitive and social cognition measures utilized for screening for bvFTD in a population with low levels of education.
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Affiliation(s)
- Nilton Custodio
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - Rosa Montesinos
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Lizardo Cruzado
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Instituto Nacional de Salud Mental “Honorio Delgado—Hideyo Noguchi”, Lima, Peru
- Grupo de investigación Molident, Universidad San Ignacio de Loyola, Lima, Peru
| | - Eder Herrera-Perez
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Virgilio E. Failoc-Rojas
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - Maritza Pintado-Caipa
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Atlantic Fellow, Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States
| | - Wendy Seminario G
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - José Cuenca
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
- Carrera de Psicología, Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima, Peru
| | - Carlos Gamboa
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
| | - Monica M. Diaz
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru
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21
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Franklin HD, Russell LL, Peakman G, Greaves CV, Bocchetta M, Nicholas J, Poos J, Convery RS, Cash DM, van Swieten J, Jiskoot L, Moreno F, Sanchez-Valle R, Borroni B, Laforce R, Masellis M, Tartaglia MC, Graff C, Galimberti D, Rowe JB, Finger E, Synofzik M, Vandenberghe R, de Mendonça A, Tagliavini F, Santana I, Ducharme S, Butler C, Gerhard A, Levin J, Danek A, Otto M, Sorbi S, Le Ber I, Pasquier F, Rohrer JD. The Revised Self-Monitoring Scale detects early impairment of social cognition in genetic frontotemporal dementia within the GENFI cohort. Alzheimers Res Ther 2021; 13:127. [PMID: 34253227 PMCID: PMC8276486 DOI: 10.1186/s13195-021-00865-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 06/20/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Although social cognitive dysfunction is a major feature of frontotemporal dementia (FTD), it has been poorly studied in familial forms. A key goal of studies is to detect early cognitive impairment using validated measures in large patient cohorts. METHODS We used the Revised Self-Monitoring Scale (RSMS) as a measure of socioemotional sensitivity in 730 participants from the genetic FTD initiative (GENFI) observational study: 269 mutation-negative healthy controls, 193 C9orf72 expansion carriers, 193 GRN mutation carriers and 75 MAPT mutation carriers. All participants underwent the standardised GENFI clinical assessment including the 'CDR® plus NACC FTLD' scale and RSMS. The RSMS total score and its two subscores, socioemotional expressiveness (EX score) and modification of self-presentation (SP score) were measured. Volumetric T1-weighted magnetic resonance imaging was available from 377 mutation carriers for voxel-based morphometry (VBM) analysis. RESULTS The RSMS was decreased in symptomatic mutation carriers in all genetic groups but at a prodromal stage only in the C9orf72 (for the total score and both subscores) and GRN (for the modification of self-presentation subscore) groups. RSMS score correlated with disease severity in all groups. The VBM analysis implicated an overlapping network of regions including the orbitofrontal cortex, insula, temporal pole, medial temporal lobe and striatum. CONCLUSIONS The RSMS indexes socioemotional impairment at an early stage of genetic FTD and may be a suitable outcome measure in forthcoming trials.
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Affiliation(s)
- Hannah D Franklin
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Georgia Peakman
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Jennifer Nicholas
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Jackie Poos
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Rhian S Convery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - John van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Lize Jiskoot
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, Gipuzkoa, Spain
- Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Raquel Sanchez-Valle
- Alzheimer's disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Québec, QC, Canada
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
- University of Milan, Centro Dino Ferrari, Milan, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Alexandre de Mendonça
- Laboratory of Neurosciences, Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | | | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Chris Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Alex Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Duisburg, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- IRCCS Don Gnocchi, Firenze, Italy
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
- Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Florence Pasquier
- Univ Lille, Lille, France
- Inserm 1172, Lille, France
- CHU, CNR-MAJ, Labex Distalz, LiCEND, Lille, France
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
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Khoury R, Liu Y, Sheheryar Q, Grossberg GT. Pharmacotherapy for Frontotemporal Dementia. CNS Drugs 2021; 35:425-438. [PMID: 33840052 DOI: 10.1007/s40263-021-00813-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/26/2021] [Indexed: 12/11/2022]
Abstract
Frontotemporal dementia is a heterogeneous spectrum of neurodegenerative disorders. The neuropathological inclusions are tau proteins, TAR DNA binding protein 43 kDa-TDP-43, or fused in sarcoma-ubiquitinated inclusions. Genetically, several autosomal mutations account for the heritability of the disorder. Phenotypically, frontotemporal dementia can present with a behavioral variant or a language variant called primary progressive aphasia. To date, there are no approved symptomatic or disease-modifying treatments for frontotemporal dementia. Currently used therapies are supported by low-level of evidence (mostly uncontrolled) studies. The off-label use of drugs is also limited by their side-effect profile including an increased risk of confusion, parkinsonian symptoms, and risk of mortality. Emerging disease-modifying treatments currently target the progranulin and the expansion on chromosome 9 open reading frame 72 genes as well as tau deposits. Advancing our understanding of the pathophysiology of the disease and improving the design of future clinical trials are much needed to optimize the chances to obtain positive outcomes.
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Affiliation(s)
- Rita Khoury
- Department of Psychiatry and Clinical Psychology, Saint Georges Hospital University Medical Center, Youssef Sursock Street, PO Box 166378, Beirut, Lebanon. .,Faculty of Medicine, University of Balamand, Beirut, Lebanon. .,Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, Saint Louis, MO, USA.
| | - Yu Liu
- Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, Saint Louis, MO, USA
| | - Quratulanne Sheheryar
- Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, Saint Louis, MO, USA
| | - George T Grossberg
- Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, Saint Louis, MO, USA
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23
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Staffaroni AM, Weintraub S, Rascovsky K, Rankin KP, Taylor J, Fields JA, Casaletto KB, Hillis AE, Lukic S, Gorno‐Tempini ML, Heuer H, Teylan MA, Kukull WA, Miller BL, Boeve BF, Rosen HJ, Boxer AL, Kramer JH. Uniform data set language measures for bvFTD and PPA diagnosis and monitoring. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12148. [PMID: 33665340 PMCID: PMC7896637 DOI: 10.1002/dad2.12148] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 11/23/2020] [Accepted: 12/02/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION The Frontotemporal Lobar Degeneration Module (FTLD-MOD) includes a neuropsychological battery designed to assess the clinical features of FTLD, although much is unknown about its utility. We investigated FTLD-MOD and Uniform Data Set 3.0 (UDS) language tests for differential diagnosis and disease monitoring. METHODS Linear regressions compared baseline performances in 1655 National Alzheimer's Coordinating Center participants (behavioral variant frontotemporal dementia (bvFTD, n = 612), semantic variant primary progressive aphasia (svPPA, n = 168), non-fluent/agrammatic variant PPA (nfvPPA, n = 168), logopenic variant PPA (lvPPA, n = 109), and controls (n = 581)). Sample sizes to detect treatment effects were estimated using longitudinal data. RESULTS Among PPAs, the FTLD-MOD language tasks and UDS Multilingual Naming Test accurately discriminated svPPA. Number Span Forward best discriminated lvPPA; Phonemic:Semantic Fluency ratio was excellent for nfvPPA classification. UDS fluency and naming measures required the smallest sample size to detect meaningful change. DISCUSSION The FTLD-MOD and UDS differentiated among PPA subtypes. UDS 3.0 measures performed best for longitudinal monitoring.
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Affiliation(s)
- Adam M. Staffaroni
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease and Department of Psychiatry and Behavioral SciencesFeinberg School of MedicineDepartment of NeurologyNorthwestern UniversityChicagoIllinoisUSA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Katherine P. Rankin
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Jack Taylor
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Julie A. Fields
- Department of Psychiatry and PsychologyMayo ClinicDivision of Neurocognitive DisordersRochesterMinnesotaUSA
| | - Kaitlin B. Casaletto
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Argye E. Hillis
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Sladjana Lukic
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Maria Luisa Gorno‐Tempini
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Hilary Heuer
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Merilee A. Teylan
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Walter A. Kukull
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Bruce L. Miller
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Bradley F. Boeve
- Department of NeurologyCollege of MedicineMayo ClinicRochesterMinnesotaUSA
| | - Howard J. Rosen
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Adam L. Boxer
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesUniversity of California at San Francisco (UCSF)San FranciscoCaliforniaUSA
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Keinath MC, Prior DE, Prior TW. Spinal Muscular Atrophy: Mutations, Testing, and Clinical Relevance. APPLICATION OF CLINICAL GENETICS 2021; 14:11-25. [PMID: 33531827 PMCID: PMC7846873 DOI: 10.2147/tacg.s239603] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 01/15/2021] [Indexed: 12/12/2022]
Abstract
Spinal muscular atrophy (SMA) is a heritable neuromuscular disorder that causes degeneration of the alpha motor neurons from anterior horn cells in the spinal cord, which causes severe progressive hypotonia and muscular weakness. With a carrier frequency of 1 in 40–50 and an estimated incidence of 1 in 10,000 live births, SMA is the second most common autosomal recessive disorder. Affected individuals with SMA have a homozygous loss of function of the survival motor neuron gene SMN1 on 5q13 but keep the modifying SMN2 gene. The most common mutation causing SMA is a homozygous deletion of the SMN1 exon 7, which can be readily detected and used as a sensitive diagnostic test. Because SMN2 produces a reduced number of full-length transcripts, the number of SMN2 copies can modify the clinical phenotype and as such, becomes an essential predictive factor. Population-based SMA carrier screening identifies carrier couples that may pass on this genetic disorder to their offspring and allows the carriers to make informed reproductive choices or prepare for immediate treatment for an affected child. Three treatments have recently been approved by the Food and Drug Administration (FDA). Nusinersen increases the expression levels of the SMN protein using an antisense oligonucleotide to alter splicing of the SMN2 transcript. Onasemnogene abeparvovec is a gene therapy that utilizes an adeno-associated virus serotype 9 vector to increase low functional SMN protein levels. Risdiplam is a small molecule that alters SMN2 splicing in order to increase functional SMN protein. Newborn screening for SMA has been shown to be successful in allowing infants to be treated before the loss of motor neurons and has resulted in improved clinical outcomes. Several of the recommendations and guidelines in the review are based on studies performed in the United States.
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Affiliation(s)
- Melissa C Keinath
- Pathology, University Hospitals Center for Human Genetics, Cleveland, OH, USA
| | - Devin E Prior
- Neurology, Mount Auburn Hospital, Cambridge, MA, USA
| | - Thomas W Prior
- Pathology, University Hospitals Center for Human Genetics, Cleveland, OH, USA
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Measuring Behavior and Social Cognition in FTLD. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:51-65. [PMID: 33433868 DOI: 10.1007/978-3-030-51140-1_4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Because changes to socioemotional cognition and behavior are an early and central symptom in many of the FTLD syndromes, an objective and standardized approach to patient identification and staging relies on availability of validated socioemotional measures. Such tests should reflect functioning in key selectively vulnerable brain networks central to socioemotional behavior, specifically the intrinsically connected networks underpinning salience (SN) and semantic appraisal (SAN). There have been many challenges to the development of appropriate tests for patients with the FTLD syndromes, including the difficulty of creating standardized evaluations for the highly idiosyncratic deficits caused by salience-driven attention impairments, the trade-off between behaviorally or psychophysiologically precise measures versus the need for easily administered measures that can scale to broader clinical contexts, and the complexities of measuring socioemotional behavior across linguistically and culturally diverse samples. A subset of available socioemotional tests are reviewed with respect to evidence for their ability to reflect structural and functional changes to the FTLD-specific SN and SAN networks, and their differential diagnostic utility in the neurodegenerative disease syndromes is discussed.
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27
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Spinal muscular atrophy - insights and challenges in the treatment era. Nat Rev Neurol 2020; 16:706-715. [PMID: 33057172 DOI: 10.1038/s41582-020-00413-4] [Citation(s) in RCA: 110] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2020] [Indexed: 01/05/2023]
Abstract
Spinal muscular atrophy (SMA) is an autosomal recessive motor neuron disease caused by deletion or mutation of SMN1. Four subtypes exist, characterized by different clinical severities. New therapeutic approaches have become available in the past few years, dramatically changing the natural history of all SMA subtypes, including substantial clinical improvement with the severe and advanced SMA type 1 variant. Trials have now demonstrated that phenotypic rescue is even more dramatic when pre-symptomatic patients are treated, and emerging real-world data are demonstrating the benefits of intervention even in the chronic phase of the condition. Here, we critically review how the field is rapidly evolving in response to the new therapies and questions that the new treatments have posed, including the effects of treatment at different ages and stages of disease, new phenotypes and long-term outcomes in patients who would not have survived without treatment, and decisions of who to treat and when. We also discuss how the outcomes associated with different timing of therapeutic intervention are contributing to our understanding of the biology and pathogenesis of SMA.
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