Linking acetylated α-Tubulin redistribution to α-Synuclein pathology in brain of Parkinson's disease patients.


Journal

NPJ Parkinson's disease
ISSN: 2373-8057
Titre abrégé: NPJ Parkinsons Dis
Pays: United States
ID NLM: 101675390

Informations de publication

Date de publication:
02 Jan 2024
Historique:
received: 07 02 2023
accepted: 24 11 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: epublish

Résumé

Highly specialized microtubules in neurons are crucial to both health and disease of the nervous system, and their properties are strictly regulated by different post-translational modifications, including α-Tubulin acetylation. An imbalance in the levels of acetylated α-Tubulin has been reported in experimental models of Parkinson's disease (PD) whereas pharmacological or genetic modulation that leads to increased acetylated α-Tubulin successfully rescues axonal transport defects and inhibits α-Synuclein aggregation. However, the role of acetylation of α-Tubulin in the human nervous system is largely unknown as most studies are based on in vitro evidence. To capture the complexity of the pathological processes in vivo, we analysed post-mortem human brain of PD patients and control subjects. In the brain of PD patients at Braak stage 6, we found a redistribution of acetylated α-Tubulin, which accumulates in the neuronal cell bodies in subcortical structures but not in the cerebral cortex, and decreases in the axonal compartment, both in putamen bundles of fibres and in sudomotor fibres. High-resolution and 3D reconstruction analysis linked acetylated α-Tubulin redistribution to α-Synuclein oligomerization and to phosphorylated Ser 129 α-Synuclein, leading us to propose a model for Lewy body (LB) formation. Finally, in post-mortem human brain, we observed threadlike structures, resembling tunnelling nanotubes that contain α-Synuclein oligomers and are associated with acetylated α-Tubulin enriched neurons. In conclusion, we support the role of acetylated α-Tubulin in PD pathogenesis and LB formation.

Identifiants

pubmed: 38167511
doi: 10.1038/s41531-023-00607-9
pii: 10.1038/s41531-023-00607-9
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2

Informations de copyright

© 2024. The Author(s).

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Auteurs

Samanta Mazzetti (S)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy. samanta.mazzetti@gmail.com.
Fondazione Grigioni per il Morbo di Parkinson, Milan, Italy. samanta.mazzetti@gmail.com.

Federica Giampietro (F)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy.

Alessandra Maria Calogero (AM)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy.
Fondazione Grigioni per il Morbo di Parkinson, Milan, Italy.

Huseyin Berkcan Isilgan (HB)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy.

Gloria Gagliardi (G)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy.

Chiara Rolando (C)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy.

Francesca Cantele (F)

Department of Chemistry, Università degli Studi di Milano, Milan, Italy.

Miriam Ascagni (M)

Unitech NOLIMITS, Università degli Studi di Milano, Milan, Italy.

Manuela Bramerio (M)

S. C. Divisione Oncologia Falck and S. C. Divisione Anatomia Patologica, Ospedale Niguarda Ca' Granda, Milan, Italy.

Giorgio Giaccone (G)

Unit of Neuropathology and Neurology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Ioannis Ugo Isaias (IU)

Parkinson Institute, ASST G. Pini-CTO, Milan, Milan, Italy.
Department of Neurology, University Hospital of Würzburg and the Julius Maximilian University of Würzburg, 97080, Würzburg, Germany.

Gianni Pezzoli (G)

Fondazione Grigioni per il Morbo di Parkinson, Milan, Italy.

Graziella Cappelletti (G)

Department of Biosciences, Università degli Studi di Milano, Milan, Italy. graziella.cappelletti@unimi.it.
Center of Excellence on Neurodegenerative Diseases, Università degli Studi di Milano, Milan, Italy. graziella.cappelletti@unimi.it.

Classifications MeSH