ArticleBrain pathology (Zurich, Switzerland)2026
Dendritic location of dystrophic neurites in FTLD-TDP type C with annexinopathy.
Article in Brain pathology (Zurich, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Annexin A11 and TDP-43: core players in neurodegeneration.Acta neuropathologica · 2026Review
- Anatomical Progression of Neuropathology in FTLD-TDP Type C and Linkage to Annexin A11.Annals of neurology · 2026Article
- Dendritic location of dystrophic neurites in FTLD-TDP type C with annexinopathy.Brain pathology (Zurich, Switzerland) · 2026Article
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11 authors.
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Abstract
The type C variant (TDP-C) of FTLD-TDP exhibits unique features, not shared by types A and B, namely the invariable and frequently asymmetric predilection for the anterior temporal lobes (ATL). Depending on the direction of hemispheric asymmetry, the associated clinical features include word comprehension impairment, associative agnosia, and behavioral abnormalities. Current research on TDP-C aims to explore the factors that underlie the selective targeting of the ATL and, more specifically, the cellular details that undermine the behavioral and cognitive functions of this region. Abnormal TDP-C neurites have recently been shown to represent heterodimers with annexin A11 (ANXA11). This feature, not shared by TDP-A or -B, may explain the unique predilection of TDP-C for the ATL. To further explore the subcellular distribution of the pathology, paraffin-embedded sections were stained using fluorescent antibodies for the dendritic marker MAP2 and phosphorylated TDP-43 (pTDP) or ANXA11. Results indicated that approximately half of pTDP/ANXA11 neurites co-localized with MAP2. The actual overlap during life may be much higher but decreased at autopsy through dendritic loss due to prolonged neurodegeneration. The potentially selective and progressive dendritic pathology of TDP-C, quite unique among neurodegenerative entities, may underlie the distinctive perturbation of cortical integrative computations.
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