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Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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O'Connor A, Lyons S, Finnegan M, Walsh J, O'Dowd S. Expanding the phenotype of psychiatric-onset prodromal dementia with Lewy bodies. J Neurol 2024; 271:2125-2128. [PMID: 38170237 DOI: 10.1007/s00415-023-12161-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024]
Affiliation(s)
- Antoinette O'Connor
- Department of Neurology, Tallaght University Hospital (TUH), Dublin, Ireland.
- Regional Specialist Memory Centre, TUH, Dublin, Ireland.
| | - Shane Lyons
- Department of Neurology, Tallaght University Hospital (TUH), Dublin, Ireland
- Regional Specialist Memory Centre, TUH, Dublin, Ireland
| | - Martha Finnegan
- Regional Specialist Memory Centre, TUH, Dublin, Ireland
- Department of Psychiatry of Later Life, TUH, Dublin, Ireland
| | - John Walsh
- Department of Neuroradiology, TUH, Dublin, Ireland
| | - Seán O'Dowd
- Department of Neurology, Tallaght University Hospital (TUH), Dublin, Ireland
- Regional Specialist Memory Centre, TUH, Dublin, Ireland
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
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3
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Baldwin A, Copeland J, Azage M, Dratch L, Johnson K, Paul RA, Amado DA, Baer M, Deik A, Elman LB, Guo M, Hamedani AG, Irwin DJ, Lasker A, Orthmann-Murphy J, Quinn CC, Tropea TF, Scherer SS, Shinohara RT, Hamilton RH, Ellis CA. Disparities in Genetic Testing for Neurologic Disorders. Neurology 2024; 102:e209161. [PMID: 38447117 DOI: 10.1212/wnl.0000000000209161] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 12/01/2023] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Genetic testing is now the standard of care for many neurologic conditions. Health care disparities are unfortunately widespread in the US health care system, but disparities in the utilization of genetic testing for neurologic conditions have not been studied. We tested the hypothesis that access to and results of genetic testing vary according to race, ethnicity, sex, socioeconomic status, and insurance status for adults with neurologic conditions. METHODS We analyzed retrospective data from patients who underwent genetic evaluation and testing through our institution's neurogenetics program. We tested for differences between demographic groups in 3 steps of a genetic evaluation pathway: (1) attending a neurogenetic evaluation, (2) completing genetic testing, and (3) receiving a diagnostic result. We compared patients on this genetic evaluation pathway with the population of all neurology outpatients at our institution, using univariate and multivariable logistic regression analyses. RESULTS Between 2015 and 2022, a total of 128,440 patients were seen in our outpatient neurology clinics and 2,540 patients underwent genetic evaluation. Black patients were less than half as likely as White patients to be evaluated (odds ratio [OR] 0.49, p < 0.001), and this disparity was similar after controlling for other demographic factors in multivariable analysis. Patients from the least wealthy quartile of zip codes were also less likely to be evaluated (OR 0.67, p < 0.001). Among patients who underwent evaluation, there were no disparities in the likelihood of completing genetic testing, nor in the likelihood of a diagnostic result after adjusting for age. Analyses restricted to specific indications for genetic testing supported these findings. DISCUSSION We observed unequal utilization of our clinical neurogenetics program for patients from marginalized and minoritized demographic groups, especially Black patients. Among patients who do undergo evaluation, all groups benefit similarly from genetic testing when it is indicated. Understanding and removing barriers to accessing genetic testing will be essential to health care equity and optimal care for all patients with neurologic disorders.
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Affiliation(s)
- Aaron Baldwin
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Juliette Copeland
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Meron Azage
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Laynie Dratch
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Kelsey Johnson
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Rachel A Paul
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Defne A Amado
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael Baer
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Andres Deik
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Lauren B Elman
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael Guo
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ali G Hamedani
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David J Irwin
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Aaron Lasker
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jennifer Orthmann-Murphy
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Colin C Quinn
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Thomas F Tropea
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Steven S Scherer
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Russell T Shinohara
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Roy H Hamilton
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Colin A Ellis
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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4
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Dratch L, Azage M, Baldwin A, Johnson K, Paul RA, Bardakjian TM, Michon SC, Amado DA, Baer M, Deik AF, Elman LB, Gonzalez-Alegre P, Guo MH, Hamedani AG, Irwin DJ, Lasker A, Orthmann-Murphy J, Quinn C, Tropea TF, Scherer SS, Ellis CA. Genetic testing in adults with neurologic disorders: indications, approach, and clinical impacts. J Neurol 2024; 271:733-747. [PMID: 37891417 PMCID: PMC11095966 DOI: 10.1007/s00415-023-12058-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
The role of genetic testing in neurologic clinical practice has increased dramatically in recent years, driven by research on genetic causes of neurologic disease and increased availability of genetic sequencing technology. Genetic testing is now indicated for adults with a wide range of common neurologic conditions. The potential clinical impacts of a genetic diagnosis are also rapidly expanding, with a growing list of gene-specific treatments and clinical trials, in addition to important implications for prognosis, surveillance, family planning, and diagnostic closure. The goals of this review are to provide practical guidance for clinicians about the role of genetics in their practice and to provide the neuroscience research community with a broad survey of current progress in this field. We aim to answer three questions for the neurologist in practice: Which of my patients need genetic testing? What testing should I order? And how will genetic testing help my patient? We focus on common neurologic disorders and presentations to the neurology clinic. For each condition, we review the most current guidelines and evidence regarding indications for genetic testing, expected diagnostic yield, and recommended testing approach. We also focus on clinical impacts of genetic diagnoses, highlighting a number of gene-specific therapies recently approved for clinical use, and a rapidly expanding landscape of gene-specific clinical trials, many using novel nucleotide-based therapeutic modalities like antisense oligonucleotides and gene transfer. We anticipate that more widespread use of genetic testing will help advance therapeutic development and improve the care, and outcomes, of patients with neurologic conditions.
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Affiliation(s)
- Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Meron Azage
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Aaron Baldwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Kelsey Johnson
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Rachel A Paul
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Tanya M Bardakjian
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
- Sarepta Therapeutics Inc, Cambridge, MA, 02142, USA
| | - Sara-Claude Michon
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Defne A Amado
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Michael Baer
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Andres F Deik
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Lauren B Elman
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
- Spark Therapeutics Inc, Philadelphia, PA, 19104, USA
| | - Michael H Guo
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Ali G Hamedani
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Aaron Lasker
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Jennifer Orthmann-Murphy
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Colin Quinn
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Thomas F Tropea
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Steven S Scherer
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Colin A Ellis
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA.
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5
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Dratch L, Mu W, Wood EM, Morgan B, Massimo L, Clyburn C, Bardakjian T, Grossman M, Irwin DJ, Cousins KA. Evaluation of an educational conference for persons affected by hereditary frontotemporal degeneration and amyotrophic lateral sclerosis. PEC INNOVATION 2023; 2:100108. [PMID: 37214502 PMCID: PMC10194235 DOI: 10.1016/j.pecinn.2022.100108] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 11/14/2022] [Accepted: 11/21/2022] [Indexed: 05/24/2023]
Abstract
Objective There are limited studies exploring the support and education needs of individuals at-risk for or diagnosed with hereditary frontotemporal degeneration (FTD) and/or amyotrophic lateral sclerosis (ALS). This study evaluated a novel conference for this population to assess conference efficacy, probe how participants assessed relevant resources, and identify outstanding needs of persons at-risk/diagnosed. Methods We implemented a post-conference electronic survey that probed participants' satisfaction, prior experience with resources, and unmet needs. Along with multiple-choice, free-text items were included to gather qualitative context. Results Survey completion rate was 31% (115/376 attendees who were emailed the survey). There was positive interest in pursuing genetic counseling among eligible responders: 61% indicated they planned to seek genetic counseling because of the conference, which was significantly more than those who were undecided (21%) or did not plan to seek genetic counseling (18%). Qualitative data demonstrated need for additional education, support, and research opportunities. Conclusion Conference reactions indicate this is a valued resource. Results indicated the importance of raising awareness about existing resources, and the need for further resource development, especially for at-risk communities. Innovation While most resources are developed for caregivers' needs, this unique program targets at-risk individuals and unites ALS and FTD communities.
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Affiliation(s)
- Laynie Dratch
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Weiyi Mu
- Department of Genetic Medicine, Johns Hopkins University, Baltimore, USA
| | | | - Brianna Morgan
- School of Nursing, University of Pennsylvania, Philadelphia, USA
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
- School of Nursing, University of Pennsylvania, Philadelphia, USA
| | - Cynthia Clyburn
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Tanya Bardakjian
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - David J. Irwin
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Katheryn A.Q. Cousins
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
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6
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Banerjee G, Collinge J, Fox NC, Lashley T, Mead S, Schott JM, Werring DJ, Ryan NS. Clinical considerations in early-onset cerebral amyloid angiopathy. Brain 2023; 146:3991-4014. [PMID: 37280119 PMCID: PMC10545523 DOI: 10.1093/brain/awad193] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 04/16/2023] [Accepted: 05/01/2023] [Indexed: 06/08/2023] Open
Abstract
Cerebral amyloid angiopathy (CAA) is an important cerebral small vessel disease associated with brain haemorrhage and cognitive change. The commonest form, sporadic amyloid-β CAA, usually affects people in mid- to later life. However, early-onset forms, though uncommon, are increasingly recognized and may result from genetic or iatrogenic causes that warrant specific and focused investigation and management. In this review, we firstly describe the causes of early-onset CAA, including monogenic causes of amyloid-β CAA (APP missense mutations and copy number variants; mutations of PSEN1 and PSEN2) and non-amyloid-β CAA (associated with ITM2B, CST3, GSN, PRNP and TTR mutations), and other unusual sporadic and acquired causes including the newly-recognized iatrogenic subtype. We then provide a structured approach for investigating early-onset CAA, and highlight important management considerations. Improving awareness of these unusual forms of CAA amongst healthcare professionals is essential for facilitating their prompt diagnosis, and an understanding of their underlying pathophysiology may have implications for more common, late-onset, forms of the disease.
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Affiliation(s)
- Gargi Banerjee
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, W1W 7FF, UK
| | - John Collinge
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, W1W 7FF, UK
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Tammaryn Lashley
- The Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Disorders, UCL Queen Square Institute of Neurology, London, W1 1PJ, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Simon Mead
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, W1W 7FF, UK
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Natalie S Ryan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
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7
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Clarke AJ, Manser D, Fleischer R, Fulham M, Ahmed RM. Pearls & Oy-sters: Huntington Disease Presenting as Primary Progressive Aphasia: A Case of Semantics. Neurology 2023; 101:414-417. [PMID: 37202171 PMCID: PMC10501099 DOI: 10.1212/wnl.0000000000207428] [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: 11/11/2022] [Accepted: 04/04/2023] [Indexed: 05/20/2023] Open
Abstract
We present a case of semantic variant primary progressive aphasia as the presenting feature in a patient with Huntington disease (HD). The patient initially developed progressive language impairment including impaired naming and object knowledge and single-word comprehension and then developed chorea and behavioral changes. An MRI of the brain showed left anterior temporal lobe and hippocampal atrophy. A neurologic FDG PET/CT showed reduced metabolism in the head of the left caudate nucleus. Huntingtin gene testing revealed an expansion of 39 CAG repeats in 1 allele. This case outlines the substantial overlap between the clinical presentation of HD and frontotemporal lobar degeneration syndromes and provides commentary on the investigation of these neurodegenerative diseases.
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Affiliation(s)
- Antonia J Clarke
- From the Faculty of Medicine and Health (A.J.C., R.M.A.), University of Sydney; Department of Neurology (A.J.C., D.M., M.F., R.M.A.), Genetics Department (R.F.), and Department of Molecular Imaging (M.F.), Royal Prince Alfred Hospital; and Faculty of Engineering and Computer Science (M.F.), University of Sydney, Australia.
| | - David Manser
- From the Faculty of Medicine and Health (A.J.C., R.M.A.), University of Sydney; Department of Neurology (A.J.C., D.M., M.F., R.M.A.), Genetics Department (R.F.), and Department of Molecular Imaging (M.F.), Royal Prince Alfred Hospital; and Faculty of Engineering and Computer Science (M.F.), University of Sydney, Australia
| | - Ronald Fleischer
- From the Faculty of Medicine and Health (A.J.C., R.M.A.), University of Sydney; Department of Neurology (A.J.C., D.M., M.F., R.M.A.), Genetics Department (R.F.), and Department of Molecular Imaging (M.F.), Royal Prince Alfred Hospital; and Faculty of Engineering and Computer Science (M.F.), University of Sydney, Australia
| | - Michael Fulham
- From the Faculty of Medicine and Health (A.J.C., R.M.A.), University of Sydney; Department of Neurology (A.J.C., D.M., M.F., R.M.A.), Genetics Department (R.F.), and Department of Molecular Imaging (M.F.), Royal Prince Alfred Hospital; and Faculty of Engineering and Computer Science (M.F.), University of Sydney, Australia
| | - Rebekah M Ahmed
- From the Faculty of Medicine and Health (A.J.C., R.M.A.), University of Sydney; Department of Neurology (A.J.C., D.M., M.F., R.M.A.), Genetics Department (R.F.), and Department of Molecular Imaging (M.F.), Royal Prince Alfred Hospital; and Faculty of Engineering and Computer Science (M.F.), University of Sydney, Australia
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8
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Deng Z, Chen M, Zhao Z, Xiao W, Liu T, Peng Q, Wu Z, Xu S, Shi W, Jian D, Wang B, Liu F, Tang Y, Huang Y, Zhang Y, Wang Q, Sun L, Xie H, Zhang G, Li J. Whole genome sequencing identifies genetic variants associated with neurogenic inflammation in rosacea. Nat Commun 2023; 14:3958. [PMID: 37402769 DOI: 10.1038/s41467-023-39761-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 06/28/2023] [Indexed: 07/06/2023] Open
Abstract
Rosacea is a chronic inflammatory skin disorder with high incidence rate. Although genetic predisposition to rosacea is suggested by existing evidence, the genetic basis remains largely unknown. Here we present the integrated results of whole genome sequencing (WGS) in 3 large rosacea families and whole exome sequencing (WES) in 49 additional validation families. We identify single rare deleterious variants of LRRC4, SH3PXD2A and SLC26A8 in large families, respectively. The relevance of SH3PXD2A, SLC26A8 and LRR family genes in rosacea predisposition is underscored by presence of additional variants in independent families. Gene ontology analysis suggests that these genes encode proteins taking part in neural synaptic processes and cell adhesion. In vitro functional analysis shows that mutations in LRRC4, SH3PXD2A and SLC26A8 induce the production of vasoactive neuropeptides in human neural cells. In a mouse model recapitulating a recurrent Lrrc4 mutation from human patients, we find rosacea-like skin inflammation, underpinned by excessive vasoactive intestinal peptide (VIP) release by peripheral neurons. These findings strongly support familial inheritance and neurogenic inflammation in rosacea development and provide mechanistic insight into the etiopathogenesis of the condition.
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Affiliation(s)
- Zhili Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhixiang Zhao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wenqin Xiao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Tangxiele Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qinqin Peng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zheng Wu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - San Xu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Shi
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Dan Jian
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ben Wang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Fangfen Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yan Tang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yingxue Huang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yiya Zhang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qian Wang
- Hunan Binsis Biotechnology Co., Ltd, Changsha, Hunan, China
| | - Lunquan Sun
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha, China
| | - Hongfu Xie
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guohong Zhang
- Department of Pathology, Shantou University Medical College, Shantou, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Wilson NA, Peters R, Lautenschlager NT, Anstey KJ. Testing times for dementia: a community survey identifying contemporary barriers to risk reduction and screening. Alzheimers Res Ther 2023; 15:76. [PMID: 37038211 PMCID: PMC10088195 DOI: 10.1186/s13195-023-01219-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 03/28/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Advances in pharmacological and non-pharmacological dementia interventions may mean future dementia prevention incorporates a combination of targeted screening and lifestyle modifications. Elucidating potential barriers which may prevent community engagement with dementia prevention initiatives is important to maximise the accessibility and feasibility of these initiatives across the lifespan. METHODS Six hundred seven adults aged over 18 years completed a 54-item, multiple-choice survey exploring contemporary attitudes towards, and barriers to, dementia risk reduction and screening relative to other common health conditions. Participants were sourced from Australia's largest, paid, data analytics service (ORIMA). RESULTS Finances (p = .009), poor motivation (p = .043), and time (p ≤ .0001) emerged as significant perceived barriers to dementia risk reduction behaviours. Lack of time was more likely to be reported by younger, relative to older, participants (p ≤ .0001), while females were more likely than males to report financial (p = .019) and motivational (p = .043) factors. Binary logistic regression revealed willingness to undertake dementia testing modalities was significantly influenced by gender (genetic testing, p = .012; saliva, p = .038, modifiable risk factors p = .003), age (cognitive testing, p ≤ .0001; blood, p = .010), and socio-economic group (retinal imaging, p = .042; modifiable risk-factor screening, p = .019). Over 65% of respondents felt adequately informed about risk reduction for at least one non-dementia health condition, compared to 30.5% for dementia. CONCLUSIONS This study found perceived barriers to dementia risk reduction behaviours, and the willingness to engage in various dementia testing modalities, was significantly associated with socio-demographic factors across the lifespan. These findings provide valuable insight regarding the accessibility and feasibility of potential methods for identifying those most at risk of developing dementia, as well as the need to better promote and support wide-scale engagement in dementia risk reduction behaviours across the lifespan.
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Affiliation(s)
- Nikki-Anne Wilson
- Dementia Centre for Research Collaboration, Sydney, Australia.
- Neuroscience Research Australia, Margarete Ainsworth Building, 139 Barker Street, Randwick, Sydney, NSW, 2031, Australia.
- School of Psychology, The University of New South Wales, Randwick, Sydney, Australia.
| | - Ruth Peters
- Dementia Centre for Research Collaboration, Sydney, Australia
- Neuroscience Research Australia, Margarete Ainsworth Building, 139 Barker Street, Randwick, Sydney, NSW, 2031, Australia
- School of Psychology, The University of New South Wales, Randwick, Sydney, Australia
- The George Institute for Global Health, Newtown, Sydney, Australia
| | - Nicola T Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Melbourne, Australia
- North Western Mental Health, Royal Melbourne Hospital, Parkville, Melbourne, Australia
| | - Kaarin J Anstey
- Dementia Centre for Research Collaboration, Sydney, Australia
- Neuroscience Research Australia, Margarete Ainsworth Building, 139 Barker Street, Randwick, Sydney, NSW, 2031, Australia
- School of Psychology, The University of New South Wales, Randwick, Sydney, Australia
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10
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Corbie R, Campbell T, Darwent L, Rudge P, Collinge J, Mead S. Estimation of the number of inherited prion disease mutation carriers in the UK. Eur J Hum Genet 2022; 30:1167-1170. [PMID: 35754056 PMCID: PMC9553982 DOI: 10.1038/s41431-022-01132-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/26/2022] [Accepted: 06/09/2022] [Indexed: 12/15/2022] Open
Abstract
Inherited prion diseases (IPD) are a set of rare neurodegenerative diseases that are always caused by mutation of the prion protein gene (PRNP). These are highly heterogeneous in clinical presentation and best described by the specific gene mutation, but traditionally include the canonical syndromes familial Creutzfeldt-Jakob disease, Gerstamann-Straussler-Scheinker syndrome, and fatal familial insomnia. In the UK, care of IPD patients and clinical PRNP sequencing have been carried out almost exclusively by the National Prion Clinic and affiliated laboratories since the disease gene was discovered in 1989. Using data obtained over 30 years (1990-2019), this study aimed to provide a greater understanding of the genetic prevalence of IPD using multiple complementary methods. A key source of bias in rare disorders is ascertainment, so we included an analysis based on capture-recapture techniques that may help to minimise ascertainment bias. 225 patients, with 21 different IPD mutations were identified, varying in frequency (with 8/21 mutations comprising over 90% observed cases), derived from 116 kindreds and 151 3-generation families. We estimated a total of 303 UK families (95% CI = 222, 384) segregate IPD mutations, 1091 (95% CI = 720, 1461) UK mutation carriers and a lifetime risk of approximately 1 in 60,000. Simpler methods of measuring prevalence based on extrapolation from the annual incidence of disease, and large scale genomic studies, result in similar estimates of prevalence. These estimates may be of value for planning preventive trials of therapeutics in IPD mutation carriers, prevention of prion disease transmission and provision of specialist services.
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Affiliation(s)
- Rosie Corbie
- grid.52996.310000 0000 8937 2257National Prion Clinic, University College London (UCL) Hospitals NHS Foundation Trust, London, UK
| | - Tracy Campbell
- grid.421964.c0000 0004 0606 3301MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland Street, London, W1W 7FF UK
| | - Lee Darwent
- grid.421964.c0000 0004 0606 3301MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland Street, London, W1W 7FF UK
| | - Peter Rudge
- grid.52996.310000 0000 8937 2257National Prion Clinic, University College London (UCL) Hospitals NHS Foundation Trust, London, UK ,grid.421964.c0000 0004 0606 3301MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland Street, London, W1W 7FF UK
| | - John Collinge
- grid.52996.310000 0000 8937 2257National Prion Clinic, University College London (UCL) Hospitals NHS Foundation Trust, London, UK ,grid.421964.c0000 0004 0606 3301MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland Street, London, W1W 7FF UK
| | - Simon Mead
- National Prion Clinic, University College London (UCL) Hospitals NHS Foundation Trust, London, UK. .,MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland Street, London, W1W 7FF, UK.
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11
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Xu Y, Hong D, Gomez-Pinedo U, Liu J, Xu J. Editorial: Current advances in genetic dementia and aging. Front Aging Neurosci 2022; 14:1020547. [PMID: 36185483 PMCID: PMC9517165 DOI: 10.3389/fnagi.2022.1020547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 08/31/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Yuzhen Xu
- School of Medicine, Tongji University, Shanghai, China
| | - Daojun Hong
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ulises Gomez-Pinedo
- Laboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, IdISSC, Hospital Clínico San Carlos, Universidad Complutense de Madrid, Madrid, Spain
| | - Jun Liu
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jun Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Jun Xu
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12
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Caprioglio C, Garibotto V, Jessen F, Frölich L, Allali G, Assal F, Frisoni GB, Altomare D. The Clinical Use of Alzheimer's Disease Biomarkers in Patients with Mild Cognitive Impairment: A European Alzheimer's Disease Consortium Survey. J Alzheimers Dis 2022; 89:535-551. [PMID: 35912743 PMCID: PMC9535580 DOI: 10.3233/jad-220333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Recent advances occurred in the field of Alzheimer's disease (AD) biomarkers and the introduction of a research framework grounded on a biomarker-based definition of AD might have fostered an increased clinical use of AD biomarkers. For this reason, an up-to-date depiction of the clinical use of AD biomarkers is needed. OBJECTIVE To investigate the clinical use of the main AD biomarkers in patients with mild cognitive impairment (MCI) by examining the beliefs and preferences of professionals (clinicians and biomarker experts) of the European Alzheimer's Disease Consortium (EADC). METHODS 150 professionals filled in an online survey from May to September 2020. The investigated biomarkers were medial temporal lobe atrophy score (MTA) on structural MRI, typical AD (i.e., temporoparietal and posterior cingulate) hypometabolism on FDG-PET, CSF (Aβ42, p-tau, t-tau), amyloid-PET and tau-PET. RESULTS The frequency of responders reporting a frequent-to-constant use of MTA (77%) is higher than that of those reporting a frequent-to-constant use of the other AD biomarkers (i.e. , CSF 45%, p = 0.014; FDG-PET: 32%, p < 0.001; amyloid-PET: 8%, p < 0.001; and tau-PET: 2%, p < 0.001). CSF is considered the most valuable biomarker in terms of additional diagnostic value, followed by amyloid-PET, tau-PET, and typical AD hypometabolism on FDG-PET. CONCLUSION AD biomarkers are widely used across European memory clinics with a clinical research background for the diagnosis of MCI. Overall, we observed that CSF is currently considered as the most useful biomarker, followed by amyloid-PET.
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Affiliation(s)
- Camilla Caprioglio
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland,Geneva Memory Center, Geneva University Hospitals, Geneva, Switzerland
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland,Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
| | - Frank Jessen
- Department of Psychiatry, University Hospital and Medical Faculty, University of Cologne, Cologne, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute for Mental Health, University of Heidelberg, Mannheim, Germany
| | - Gilles Allali
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland,Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA
| | - Frédéric Assal
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland,Geneva Memory Center, Geneva University Hospitals, Geneva, Switzerland
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland,Geneva Memory Center, Geneva University Hospitals, Geneva, Switzerland,Correspondence to: Daniele Altomare, PhD, Memory Clinic, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 6, 1205 Geneva, Switzerland. Tel.: +41 22 372 58 00; E-mail:
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Huq AJ, Thompson B, Bennett MF, Bournazos A, Bommireddipalli S, Gorelik A, Schultz J, Sexton A, Purvis R, West K, Cotter M, Valente G, Hughes A, Riaz M, Walsh M, Farrand S, Loi SM, Kilpatrick T, Brodtmann A, Darby D, Eratne D, Walterfang M, Delatycki MB, Storey E, Fahey M, Cooper S, Lacaze P, Masters CL, Velakoulis D, Bahlo M, James PA, Winship I. Clinical impact of whole-genome sequencing in patients with early-onset dementia. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328146. [PMID: 35906014 DOI: 10.1136/jnnp-2021-328146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 06/07/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND In the clinical setting, identification of the genetic cause in patients with early-onset dementia (EOD) is challenging due to multiple types of genetic tests required to arrive at a diagnosis. Whole-genome sequencing (WGS) has the potential to serve as a single diagnostic platform, due to its superior ability to detect common, rare and structural genetic variation. METHODS WGS analysis was performed in 50 patients with EOD. Point mutations, small insertions/deletions, as well as structural variants (SVs) and short tandem repeats (STRs), were analysed. An Alzheimer's disease (AD)-related polygenic risk score (PRS) was calculated in patients with AD. RESULTS Clinical genetic diagnosis was achieved in 7 of 50 (14%) of the patients, with a further 8 patients (16%) found to have established risk factors which may have contributed to their EOD. Two pathogenic variants were identified through SV analysis. No expanded STRs were found in this study cohort, but a blinded analysis with a positive control identified a C9orf72 expansion accurately. Approximately 37% (7 of 19) of patients with AD had a PRS equivalent to >90th percentile risk. DISCUSSION WGS acts as a single genetic test to identify different types of clinically relevant genetic variations in patients with EOD. WGS, if used as a first-line clinical diagnostic test, has the potential to increase the diagnostic yield and reduce time to diagnosis for EOD.
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Affiliation(s)
- Aamira J Huq
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Bryony Thompson
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Pathology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mark F Bennett
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Adam Bournazos
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Shobhana Bommireddipalli
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Alexandra Gorelik
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Joshua Schultz
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Adrienne Sexton
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Rebecca Purvis
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Kirsty West
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Megan Cotter
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Giulia Valente
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Andrew Hughes
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Moeen Riaz
- Public Health and Preventative Medicine, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia
| | - Maie Walsh
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Sarah Farrand
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Samantha M Loi
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Trevor Kilpatrick
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Amy Brodtmann
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
- Florey Neurosciences Institutes, University of Melbourne, Carlton South, Victoria, Australia
| | - David Darby
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
- Mental Health Research Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | | | - Elsdon Storey
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Neuroscience, Alfred Health, Melbourne, Victoria, Australia
| | - Michael Fahey
- Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Sandra Cooper
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Paul Lacaze
- Public Health and Preventative Medicine, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Melanie Bahlo
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Paul A James
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Ingrid Winship
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
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14
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Benussi A, Libri I, Premi E, Alberici A, Cantoni V, Gadola Y, Rivolta J, Pengo M, Gazzina S, Calhoun VD, Gasparotti R, Zetterberg H, Ashton NJ, Blennow K, Padovani A, Borroni B. Differences and similarities between familial and sporadic frontotemporal dementia: An Italian single-center cohort study. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12326. [PMID: 35898667 PMCID: PMC9310192 DOI: 10.1002/trc2.12326] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/11/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
Introduction The possibility to generalize our understandings on treatments and assessments to both familial frontotemporal dementia (f-FTD) and sporadic FTD (s-FTD) is a fundamental perspective for the near future, considering the constant advancement in potential disease-modifying therapies that target particular genetic forms of FTD. We aimed to investigate differences in clinical features, cerebrospinal fluid (CSF), and blood-based biomarkers between f-FTD and s-FTD. Methods In this longitudinal cohort study, we evaluated a consecutive sample of symptomatic FTD patients, classified as f-FTD and s-FTD according to Goldman scores (GS). All patients underwent clinical, behavioral, and neuropsychiatric symptom assessment, CSF biomarkers and serum neurofilament light (NfL) analysis, and brain atrophy evaluation with magnetic resonance imaging. Results Of 570 patients with FTD, 123 were classified as f-FTD, and 447 as s-FTD. In the f-FTD group, 95 had a pathogenic FTD mutation while 28 were classified as GS = 1 or 2; of the s-FTD group, 133 were classified as GS = 3 and 314 with GS = 4. f-FTD and s-FTD cases showed comparable demographic features, except for younger age at disease onset, age at diagnosis, and higher years of education in the f-FTD group (all P < .05). f-FTD showed worse behavioral disturbances as measured with Frontal Behavioral Inventory (FBI) negative behaviors (14.0 ± 7.6 vs. 11.6 ± 7.4, P = .002), and positive behaviors (20.0 ± 11.0 vs. 17.4 ± 11.8, P = .031). Serum NfL concentrations were higher in patients with f-FTD (70.9 ± 37.9 pg/mL) compared to s-FTD patients (37.3 ± 24.2 pg/mL, P < .001), and f-FTD showed greater brain atrophy in the frontal and temporal regions and basal ganglia. Patients with f-FTD had significantly shorter survival than those with s-FTD (P = .004). Discussion f-FTD and s-FTD are very similar clinical entities, but with different biological mechanisms, and different rates of progression. The parallel characterization of both f-FTD and s-FTD will improve our understanding of the disease, and aid in designing future clinical trials for both genetic and sporadic forms of FTD. Highlights Do clinical features and biomarkers differ between patients with familial frontotemporal dementia (f-FTD) and sporadic FTD (s-FTD)?In this cohort study of 570 patients with FTD, f-FTD and s-FTD share similar demographic features, but with younger age at disease onset and diagnosis in the f-FTD group.f-FTD showed higher serum neurofilament light concentrations, greater brain damage, and shorter survival, compared to s-FTD.f-FTD and s-FTD are very similar clinical entities, but with different cognitive reserve mechanisms and different rates of progression.
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Affiliation(s)
- Alberto Benussi
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
- Neurology UnitDepartment of Neurological and Vision SciencesASST Spedali CiviliBresciaItaly
| | - Ilenia Libri
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Enrico Premi
- Stroke UnitDepartment of Neurological and Vision SciencesASST Spedali CiviliBresciaItaly
| | - Antonella Alberici
- Neurology UnitDepartment of Neurological and Vision SciencesASST Spedali CiviliBresciaItaly
| | - Valentina Cantoni
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Yasmine Gadola
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Jasmine Rivolta
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Marta Pengo
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
| | - Stefano Gazzina
- Neurophysiology UnitDepartment of Neurological and Vision SciencesASST Spedali CiviliBresciaItaly
| | - Vince D. Calhoun
- The Mind Research NetworkDepartment of Electrical and Computer EngineeringUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | | | - Henrik Zetterberg
- Institute of Neuroscience and PhysiologyDepartment of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- UK Dementia Research Institute at UCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
| | - Nicholas J. Ashton
- Institute of Neuroscience and PhysiologyDepartment of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgMölndalSweden
- King's College LondonInstitute of PsychiatryPsychology & NeuroscienceMaurice Wohl Clinical Neuroscience InstituteLondonUK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS FoundationLondonUK
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyDepartment of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Alessandro Padovani
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
- Neurology UnitDepartment of Neurological and Vision SciencesASST Spedali CiviliBresciaItaly
| | - Barbara Borroni
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
- Neurology UnitDepartment of Neurological and Vision SciencesASST Spedali CiviliBresciaItaly
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15
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Abstract
PURPOSE OF REVIEW This article presents a practical approach to the evaluation of patients with rapidly progressive dementia. RECENT FINDINGS The approach presented in this article builds upon the standard dementia evaluation, leveraging widely available tests and emergent specific markers of disease to narrow the differential diagnosis and determine the cause(s) of rapid progressive decline. The discovery of treatment-responsive causes of rapidly progressive dementia underscores the need to determine the cause early in the symptomatic course when treatments are most likely to halt or reverse cognitive decline. SUMMARY A pragmatic and organized approach to patients with rapidly progressive dementia is essential to mitigate diagnostic and therapeutic challenges and optimize patient outcomes.
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16
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Sun Y, Peng J, Liang D, Ye X, Xu N, Chen L, Yan D, Zhang H, Xiao B, Qiu W, Shen Y, Pang N, Liu Y, Liang C, Qin Z, Luo J, Chen F, Wang J, Zhang Z, Wei H, Du J, Yan H, Duan R, Wang J, Zhang Y, Liao S, Sun K, Wu L, Yu Y. Genome sequencing demonstrates high diagnostic yield in children with undiagnosed global developmental delay/intellectual disability: a prospective study. Hum Mutat 2022; 43:568-581. [PMID: 35143101 DOI: 10.1002/humu.24347] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/25/2022] [Accepted: 02/08/2022] [Indexed: 11/08/2022]
Abstract
Genome sequencing(GS) has been used in the diagnosis of global developmental delay(GDD)/intellectual disability(ID). However, the performance of GS in patients with inconclusive results from chromosomal microarray analysis(CMA) and exome sequencing(ES) is unknown. We recruited 100 pediatric GDD/ID patients from multiple sites in China from February 2018 to August 2020 for GS. Patients have received at least one genomic diagnostic test prior to enrollment. Reanalysis of their CMA/ES data was performed. The yield of GS was calculated and explanations for missed diagnoses by CMA/ES were investigated. Clinical utility was assessed by interviewing the parents by phone. The overall diagnostic yield of GS was 21%. Seven cases could have been solved with reanalysis of ES data. Thirteen families were missed by previous CMA/ES due to improper methodology. Two remained unsolved after ES reanalysis due to complex variants missed by ES, and a CNV in untranslated regions. Follow-up of the diagnosed families revealed that nine families experienced changes in clinical management, including identification of targeted treatments, cessation of unnecessary treatment, and considerations for family planning. GS demonstrated high diagnostic yield and clinical utility in this undiagnosed GDD/ID cohort, detecting a wide range of variant types of different sizes in a single workflow. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Yu Sun
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Jing Peng
- Department of Pediatrics, Xiangya Hospital, Central South University, 410008, Changsha, China.,Hunan Intellectual and Developmental Disabilities Research Center, 410008, Changsha, China
| | - Desheng Liang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, 410078, Changsha, China
| | - Xiantao Ye
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Na Xu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Linlin Chen
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Dan Yan
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Huiwen Zhang
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Bing Xiao
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Wenjuan Qiu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
| | - Yiping Shen
- Genetic and Metabolic Central Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, 530003, Nanning, China
| | - Nan Pang
- Department of Pediatrics, Xiangya Hospital, Central South University, 410008, Changsha, China.,Hunan Intellectual and Developmental Disabilities Research Center, 410008, Changsha, China
| | - Yingdi Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, 410078, Changsha, China
| | - Chen Liang
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, 529000, Jiangmen, China
| | - Zailong Qin
- Genetic and Metabolic Central Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, 530003, Nanning, China
| | - Jingsi Luo
- Genetic and Metabolic Central Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, 530003, Nanning, China
| | - Fei Chen
- Genetic and Metabolic Central Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, 530003, Nanning, China
| | - Jingmin Wang
- Department of Pediatrics, Peking University First Hospital, 10034, Beijing, China
| | - Zhixin Zhang
- International Medical Services, China-Japan Friendship Hospital, 100029, Beijing, China
| | - Haiyan Wei
- Department of Endocrinologic and Inherited Metabolic, Childen's Hospital affiliated to Zhengzhou University, 450018, Zhengzhou, China
| | - Juan Du
- Reproductive and Genetic Hospital of CITIC-Xiangya, 410078, Changsha, China
| | - Huifang Yan
- Department of Pediatrics, Peking University First Hospital, 10034, Beijing, China
| | - Ruoyu Duan
- Department of Pediatrics, Peking University First Hospital, 10034, Beijing, China
| | - Junyu Wang
- Department of Pediatrics, Peking University First Hospital, 10034, Beijing, China
| | - Yu Zhang
- Department of Pediatrics, Peking University First Hospital, 10034, Beijing, China
| | - Shixiu Liao
- Provincial People's Hospital, Medical Genetics Institute of Henan Province, 450003, Zhengzhou, Henan Province, China
| | - Kun Sun
- Center for Clinical Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China
| | - Lingqian Wu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, 410078, Changsha, China
| | - Yongguo Yu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, 200092, Shanghai, China.,Shanghai Institute for Pediatric Research, 200092, Shanghai, China
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17
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Yang XA. Editorial: Next Generation Sequencing (NGS) for Rare Diseases Diagnosis. Front Genet 2022; 12:808042. [PMID: 35003232 PMCID: PMC8733941 DOI: 10.3389/fgene.2021.808042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Xiu-An Yang
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, China.,Hebei Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde, China
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18
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Abstract
Advances in biomarkers, genetics, and other data used as dementia risk evidence (DRE) are increasingly informing clinical diagnosis and management. The purpose of this Mini-Forum is to provide a solutions-based discussion of the ethical and legal gaps and practical questions about how to use and communicate these data. Investigators often use DRE in research. When participants ask for their personal results, investigators have concerns. Will data that was intended to study groups be valid for individuals? Will sharing data cause distress? Debates around sharing DRE became heated when blood-based amyloid tests and amyloid reducing drugs appeared poised to enable clinicians easily to identify people with elevated brain amyloid and reduce it with a drug. Such an approach would transform the traditional role of DRE from investigational to foundational; however, then the high costs, uncertain clinical benefits and risks of the therapy led to an urgent need for education to support clinical decision making. Further complicating DRE use are direct to consumer genetic testing and increasingly available biomarker testing. Withholding DRE becomes less feasible and public education around responsible use and understanding become vital. A critical answer to these legal and ethical issues is supporting education that clearly delineates known risks, benefits, and gaps in knowledge, and communication to promote understanding among researchers, clinicians, patients, and all stakeholders. This paper provides an overview and identifies general concepts and resource documents that support more informed discussions for individuals and interdisciplinary groups.
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Affiliation(s)
- Allyson C. Rosen
- VA Medical Center-Palo Alto, Palo Alto, CA, USA,Stanford School of Medicine, Stanford, CA USA,Correspondence to: Allyson Rosen, PhD, ABPP-CN, Mental Illness Research, Education and Clinical Center (MIRECC), Palo Alto VA Medical Center, 3801 Miranda Ave (151Y), Palo Alto, CA 94304-1207, USA.
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19
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Sun L, Zhang J, Su N, Zhang S, Yan F, Lin X, Yu J, Li W, Li X, Xiao S. Analysis of Genotype-Phenotype Correlations in Patients With Degenerative Dementia Through the Whole Exome Sequencing. Front Aging Neurosci 2021; 13:745407. [PMID: 34720994 PMCID: PMC8551445 DOI: 10.3389/fnagi.2021.745407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Sporadic dementias generally occur in older age and are highly polygenic, which indicates some patients transmitted in a poly-genes hereditary fashion. Objective: Our study aimed to analyze the correlations of genetic features with clinical symptoms in patients with degenerative dementia. Methods: We recruited a group of 84 dementia patients and conducted the whole exome sequencing (WES). The data were analyzed focusing on 153 dementia-related causing and susceptible genes. Results: According to the American College of Medical Genetics and Genomics (ACMG) standards and guidelines, we identified four reported pathogenic variants, namely, PSEN1 c.A344G, APP c.G2149A, MAPT c.G1165A, and MAPT c.G742A, one reported likely pathogenic variant, namely, PSEN2 c.G100A, one novel pathogenic variants, SQSTM1 c.C671A, and three novel likely pathogenic variants, namely, ABCA7 c.C4690T, ATP13A2 c.3135delC, and NOS3 c.2897-2A > G. 21 variants with uncertain significance in PSEN2, C9orf72, NOTCH3, ABCA7, ERBB4, GRN, MPO, SETX, SORL1, NEFH, ADCM10, and SORL1, etc., were also detected in patients with Alzheimer's disease (AD) and frontotemporal dementia (FTD). Conclusion: The new variants in dementia-related genes indicated heterogeneity in pathogenesis and phenotype of degenerative dementia. WES could serve as an efficient diagnostic tool for detecting intractable dementia.
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Affiliation(s)
- Lin Sun
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianye Zhang
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Su
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shaowei Zhang
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Yan
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiang Lin
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Yu
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Li
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Li
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shifu Xiao
- Alzheimer's Disease and Related Disorders Center, Shanghai Mental Health Center, Department of Geriatric Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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20
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Bruni AC, Bernardi L, Maletta R. Evolution of genetic testing supports precision medicine for caring Alzheimer's disease patients. Curr Opin Pharmacol 2021; 60:275-280. [PMID: 34487952 DOI: 10.1016/j.coph.2021.08.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 12/22/2022]
Abstract
Genetic testing for Alzheimer's disease offers a molecular diagnosis to patients and their relatives and provides information on personal risk, reproductive choices, clinical trial eligibility, and treatment options. In the past, molecular testing was limited to detecting single variations in single genes. Currently, with the advent of next-generation sequencing, simultaneous analysis of more than 100 genes using the same DNA sample is possible. This approach allows the determination of gene mutations, genetic risk factors, genotypes at many pharmacogenomic loci, and the determination of a polygenic risk scores for stratification of risk. This article reviews the diagnostic genetic testing of Alzheimer's disease, from the first molecular approaches to recent advances in NGS, focusing on a precision medicine approach.
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Affiliation(s)
| | - Livia Bernardi
- Regional Neurogenetic Centre, ASP CZ, Lamezia Terme, CZ, Italy
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21
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Hori A, Ai T, Isshiki M, Motoi Y, Yano K, Tabe Y, Hattori N, Miida T. Novel Variants in the CLCN1, RYR2, and DCTN1 Found in Elderly Japanese Dementia Patients: A Case Series. Geriatrics (Basel) 2021; 6:geriatrics6010014. [PMID: 33562224 PMCID: PMC7931039 DOI: 10.3390/geriatrics6010014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/18/2021] [Accepted: 02/04/2021] [Indexed: 11/16/2022] Open
Abstract
Dementia has an enormous impact on medical and financial resources in aging societies like Japan. Diagnosis of dementia can be made by physical and mental examinations, imaging tests, and findings of high abnormal proteins in cerebrospinal fluids. In addition, genetic tests can be performed in neurodegenerative diseases such as Alzheimer’s disease (AD), frontotemporal dementia (FTD), and Parkinson’s disease (PD). In this case series, we presented three cases of dementia with unknown causes who carry novel variants in the genes associated with neurodegenerative diseases. Three patients (Patients 1, 2, and 6) were found by screening 18 dementia patients using a gene panel including 63 genes. The age of onset for Patient 1 was 74 years old, and his father had PD and mother had AD. The age of onset for Patient 2 was 75 years old, and her mother had AD. The age of onset for Patient 6 was 83 years old, and her father, two sisters, and daughter had dementia. The Mini-Mental State Examination produced results of 20, 15, and 22, respectively. The suspected diagnosis by neurological examinations and imaging studies for Patients 1 and 2 was AD, and for Patient 6 was FTD. Patient 1 was treated with donepezil; Patient 2 was treated with donepezil and memantine; and Patient 6 was treated with donepezil, galantamine, and rivastigmine. The three rare variants identified were: CLCN1, encoding a chloride channel, c.2848G>A:p.Glu950Lys (Patient 1); RYR2, encoding a calcium releasing ryanodine receptor, c.13175A>G:p.Lys4392Arg (Patient 2); and DCTN1, encoding a subunit of dynactin, c. 3209G>A:p.Arg1070Gln (Patient 6). The detected variants were interpreted according to the American College of Medical Genetics (ACMG) guidelines. The minor allele frequency for each variant was 0.025%, 0.023%, and 0.0004% in East Asians, respectively. The DCTN1 variant found in Patient 6 might be associated with FTD. Although none of them were previously reported in dementia patients, all variants were classified as variants of unknown significance (VUS). Our report suggests that results of genetic tests in elderly patients with dementia need to be carefully interpreted. Further data accumulation of genotype–phenotype relationships and development of appropriate functional models are warranted.
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Affiliation(s)
- Atsushi Hori
- Center for Genomic and Regenerative Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (A.H.); (K.Y.)
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (M.I.); (Y.T.); (T.M.)
| | - Tomohiko Ai
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (M.I.); (Y.T.); (T.M.)
- Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Correspondence: or
| | - Miwa Isshiki
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (M.I.); (Y.T.); (T.M.)
| | - Yumiko Motoi
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (Y.M.); (N.H.)
| | - Kouji Yano
- Center for Genomic and Regenerative Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (A.H.); (K.Y.)
| | - Yoko Tabe
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (M.I.); (Y.T.); (T.M.)
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (Y.M.); (N.H.)
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8424, Japan; (M.I.); (Y.T.); (T.M.)
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Petretto DR, Carrogu GP, Gaviano L, Pili L, Pili R. Dementia and Major Neurocognitive Disorders: Some Lessons Learned One Century after the first Alois Alzheimer's Clinical Notes. Geriatrics (Basel) 2021; 6:5. [PMID: 33440669 PMCID: PMC7838901 DOI: 10.3390/geriatrics6010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 11/30/2022] Open
Abstract
Over 100 years ago, Alois Alzheimer presented the clinical signs and symptoms of what has been later called "Alzheimer Dementia" in a young woman whose name was Augustine Deter [...].
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Affiliation(s)
- Donatella Rita Petretto
- Department of Education, Psychology and Philosophy, University of Cagliari, Via Is Mirrionis 1, 09127 Cagliari, Italy; (G.P.C.); (L.G.); (L.P.)
| | - Gian Pietro Carrogu
- Department of Education, Psychology and Philosophy, University of Cagliari, Via Is Mirrionis 1, 09127 Cagliari, Italy; (G.P.C.); (L.G.); (L.P.)
- Global Community on Longevity, Comunità Mondiale della Longevità, Selargius 09047, Italy; IERFOP Onlus, Cagliari, 09134
| | - Luca Gaviano
- Department of Education, Psychology and Philosophy, University of Cagliari, Via Is Mirrionis 1, 09127 Cagliari, Italy; (G.P.C.); (L.G.); (L.P.)
- Global Community on Longevity, Comunità Mondiale della Longevità, Selargius 09047, Italy; IERFOP Onlus, Cagliari, 09134
| | - Lorenzo Pili
- Department of Education, Psychology and Philosophy, University of Cagliari, Via Is Mirrionis 1, 09127 Cagliari, Italy; (G.P.C.); (L.G.); (L.P.)
- Global Community on Longevity, Comunità Mondiale della Longevità, Selargius 09047, Italy; IERFOP Onlus, Cagliari, 09134
| | - Roberto Pili
- Global Community on Longevity, Comunità Mondiale della Longevità, Selargius 09047, Italy; IERFOP Onlus, Cagliari, 09134
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