Inter-hemispherical comparison of tau-pathology in the human temporal lobe.


Journal

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
ISSN: 1618-0402
Titre abrégé: Ann Anat
Pays: Germany
ID NLM: 100963897

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 13 10 2022
revised: 24 11 2022
accepted: 29 11 2022
pubmed: 3 1 2023
medline: 7 2 2023
entrez: 2 1 2023
Statut: ppublish

Résumé

Alzheimer's disease (AD) is characterized histopathologically by hyperphosphorylated and aggregated Tau and amyloid plaques. While the latter appear in a less stringent way throughout the brain in the course of the disease, the former evolve in a highly predictable pattern as described by Braak and Braak (1991). It is, however, not clear if this pattern develops simultaneously in both hemispheres. In this study, we therefore compared Tau-pathology of both hemispheres of the same individual in 36 consecutive brain donations as they arrived in our brain bank. 26 exhibited little differences, in eight cases left hemisphere was clearly more affected and in two cases the right hemisphere. Thus, cases with evident interhemispheric Tau-pathology do exist and interhemispheric comparison in such cases may help to identify driving forces in the progression of AD.

Identifiants

pubmed: 36592871
pii: S0940-9602(22)00157-1
doi: 10.1016/j.aanat.2022.152042
pii:
doi:

Substances chimiques

tau Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152042

Informations de copyright

Copyright © 2023 Elsevier GmbH. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest statement The authors declare to have no conflicts of interest.

Auteurs

Alexandra Milani (A)

Institute of Anatomy, Universität Leipzig, Leipzig, Germany.

Markus Morawski (M)

Paul-Flechsig-Institute of Brain Research, Universität Leipzig, Leipzig, Germany.

Ingo Bechmann (I)

Institute of Anatomy, Universität Leipzig, Leipzig, Germany. Electronic address: ingo.bechmann@medizin.uni-leipzig.de.

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Classifications MeSH