Characterizing Individuals Fulfilling Clinical Criteria for Limbic-Predominant Age-Related TDP-43 Encephalopathy in a Tertiary Memory Clinic
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND AND OBJECTIVES: Limbic-predominant age-related TDP-43 encephalopathy (LATE) is characterized by an amnestic- and limbic-predominant phenotype, which can mimic Alzheimer disease (AD). In a memory clinic cohort, we tested whether clinical criteria for LATE can detect a clinical profile of LATE that is distinct from AD. METHODS: In this retrospective examination of a longitudinal memory clinic cohort from the Alzheimer Center Amsterdam, we included individuals with mild cognitive impairment (MCI) and dementia (aged >50 years). We classified individuals based on baseline data on cognition, atrophy, amyloid-status, and tau-status into Probable- and Possible-LATE, co-occurring LATE and AD (LATE-AD), and AD (without LATE). Next, we compared these groups on demographics, clinical features, cognition, and atrophy. RESULTS: < 0.01). DISCUSSION: Using an operationalization of clinical criteria for LATE, 8.2% of participants with MCI or dementia from our tertiary memory clinic were classified as Possible-LATE, Probable-LATE, or LATE-AD. Probable-LATE was characterized by a milder disease course than AD, whereas LATE-AD was characterized by a more aggressive disease course. This underscores the value of the proposed clinical criteria in identifying individuals with suspected LATE, who have distinct clinical trajectories from AD. Our findings, therefore, support the use of these criteria to improve diagnostic and prognostic accuracy in the memory clinic.
Source: Neurology
Authors: Colin Groot, Ismael L. Calandri, Ilse Bader, Diana I. Bocancea, Hannah de Bruin, Maria Carrigan, Lyduine E. Collij, Flora H. Duits, Suzie Kamps, Lotte A. de Koning, Afina W. Lemstra, Sophie E. Mastenbroek, Roos M. Rikken, Bastiaan G.J. van Tol, Marie R. Vermeiren, Alex Wesseling, Ye Xia, Charlotte E. Teunissen, Elsmarieke van de Giessen, Frederik Barkhof, Laura E. Jonkman, Casper de Boer, Annemieke J. Rozemuller, Anna E. Leeuwis, Annelies E. van der Vlies, Betty M. Tijms, Wiesje M. van der Flier, Yolande A.L. Pijnenburg, Emma M. Coomans, Rik Ossenkoppele
Institutions: Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia, University of Amsterdam, Lund University, Amsterdam UMC Location Vrije Universiteit Amsterdam, Harvard University, Gordon Center for Medical Imaging, Massachusetts General Hospital, UCL Queen Square Institute of Neurology, University College London, Amsterdam Public Health, Alzheimer Nederland
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Bristol-Myers Squibb, Eli Lilly and Company, Sanofi, Biogen, Celgene, Cure Alzheimer's Fund, Danone, EU Joint Programme – Neurodegenerative Disease Research, Prothena, Noaber Foundation, Celltrion, Roche Nederland, Amsterdam University Medical Centers, National Institute for Health and Care Research, European Commission, ZonMw, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Eisai, Novo Nordisk, Hersenstichting, Alzheimerfonden, University College London Hospitals NHS Foundation Trust, Stichting Dioraphte, Alzheimer Nederland, IXICO, European Brain Council, GIESKES-STRIJBIS FONDS, Avid Radiopharmaceuticals, HORIZON EUROPE Framework Programme
Awards: G1428124365, G1613806636, G1798618210, G2434909840, G2501976640, G2516983177, European platform for neurodegenerative disorders, Identification of the Molecular Mechanisms of non-response to Treatments, Relapses and Remission in Autoimmune, Inflammatory, and Allergic Conditions, G4687921803, G4963699862, G5616778589, G663896020, Multi-omics Interdisciplinary Research Integration to Address DEmentia diagnosis, G6745400708, G7461077622, G7777465197, G8767449666, Accelerating the Validation of Predictive Liquid Biomarkers for Frontotemporal Dementia Diagnosis and Subclassification
OpenAlex ID: W7154579113