ArticleBrain : a journal of neurology2023
Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies.
Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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57 citing papers in PubMed, 64 citations in OpenAlex.
- Review
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- Artificial intelligence-based 3D segmentation of tangle-associated TDP-43 in neurodegeneration.Brain pathology (Zurich, Switzerland) · 2026Article
- A phosphorylation‑independent monoclonal antibody improves detection of TDP‑43 pathology across frontotemporal lobar degeneration, amyotrophic lateral sclerosis, and limbic predominant age related TDP‑43 encephalopathy neuropathological change.Journal of neuropathology and experimental neurology · 2026Article
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- Decomposing heterogeneity in disease progression speeds and pathways.NPJ digital medicine · 2026Article
- Biological classification of memory clinic patients.Brain : a journal of neurology · 2026Article
- Progression of fragile X-associated tremor/ataxia syndrome revealed by subtype and stage inference.Brain communications · 2026Article
- Lysosomal escape and TMEM106B fibrillar core determine TDP-43 seeding outcomes.bioRxiv : the preprint server for biology · 2025Article
- Reframing TDP-43 in Alzheimer's disease: From co-pathology to neurovascular culprit.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Spatial Multi-Omics Workflow and Analytical Guidelines for Alzheimer's Neuropathology.bioRxiv : the preprint server for biology · 2025Article
- Neuropathology of Lewy body dementia: Lewy-related pathology, α-synuclein oligomers, and comorbid pathologies.Molecular neurodegeneration · 2025Review
- Quantitative Profiling of Nanoscopic Protein Aggregates Reveals Specific Fingerprint of TDP-43-Positive Assemblies in Motor Neuron Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Brain Connectivity Gradients Alterations in Discordant Cerebrospinal Fluid Profile for Alzheimer's Disease Biomarkers.Human brain mapping · 2025Article
- Development of [Nature communications · 2025Article
- Multimodal Neuroimaging-Guided Stratification in Amyotrophic Lateral Sclerosis Reveals Three Disease Subtypes: A Multi-Cohort Analysis.Human brain mapping · 2025Article
- Uncovering Image-Driven Subtypes with Distinct Pathology and Clinical Course in Autopsy-Confirmed Four Repeat Tauopathies.Annals of neurology · 2025Article
- Synapse vulnerability and resilience across the clinical spectrum of dementias.Nature reviews. Neurology · 2025Review
- Sympathetic and parasympathetic subtypes of body-first Lewy body disease observed in postmortem tissue from prediagnostic individuals.Nature neuroscience · 2025Article
- Amyotrophic lateral sclerosis caused by TARDBP mutations: from genetics to TDP-43 proteinopathy.The Lancet. Neurology · 2025Review
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12 authors at 3 institutions in 4 countries.
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Abstract
TAR DNA-binding protein-43 (TDP-43) accumulation is the primary pathology underlying several neurodegenerative diseases. Charting the progression and heterogeneity of TDP-43 accumulation is necessary to better characterize TDP-43 proteinopathies, but current TDP-43 staging systems are heuristic and assume each syndrome is homogeneous. Here, we use data-driven disease progression modelling to derive a fine-grained empirical staging system for the classification and differentiation of frontotemporal lobar degeneration due to TDP-43 (FTLD-TDP, n = 126), amyotrophic lateral sclerosis (ALS, n = 141) and limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) with and without Alzheimer's disease (n = 304). The data-driven staging of ALS and FTLD-TDP complement and extend previously described human-defined staging schema for ALS and behavioural variant frontotemporal dementia. In LATE-NC individuals, progression along data-driven stages was positively associated with age, but negatively associated with age in individuals with FTLD-TDP. Using only regional TDP-43 severity, our data driven model distinguished individuals diagnosed with ALS, FTLD-TDP or LATE-NC with a cross-validated accuracy of 85.9%, with misclassifications associated with mixed pathological diagnosis, age and genetic mutations. Adding age and SuStaIn stage to this model increased accuracy to 92.3%. Our model differentiates LATE-NC from FTLD-TDP, though some overlap was observed between late-stage LATE-NC and early-stage FTLD-TDP. We further tested for the presence of subtypes with distinct regional TDP-43 progression patterns within each diagnostic group, identifying two distinct cortical-predominant and brainstem-predominant subtypes within FTLD-TDP and a further two subcortical-predominant and corticolimbic-predominant subtypes within ALS. The FTLD-TDP subtypes exhibited differing proportions of TDP-43 type, while there was a trend for age differing between ALS subtypes. Interestingly, a negative relationship between age and SuStaIn stage was seen in the brainstem/subcortical-predominant subtype of each proteinopathy. No subtypes were observed for the LATE-NC group, despite aggregating individuals with and without Alzheimer's disease and a larger sample size for this group. Overall, we provide an empirical pathological TDP-43 staging system for ALS, FTLD-TDP and LATE-NC, which yielded accurate classification. We further demonstrate that there is substantial heterogeneity amongst ALS and FTLD-TDP progression patterns that warrants further investigation in larger cross-cohort studies.
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