Rates of regional tau accumulation in ageing and across the Alzheimer's disease continuum: an AIBL


Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 26 06 2022
revised: 15 12 2022
accepted: 10 01 2023
pubmed: 30 1 2023
medline: 15 2 2023
entrez: 29 1 2023
Statut: ppublish

Résumé

Tau positron emission tomography (PET) imaging enables longitudinal observation of tau accumulation in Alzheimer's disease (AD). One hundred and eighty-four participants: 89 cognitively unimpaired (CU) beta-amyloid negative (Aβ-), 44 CU Aβ+, 51 cognitively impaired Aβ+ (26 with mild cognitive impairment [MCI] and 25 with dementia) had follow-up CU Aβ- participants had very low rates of tau accumulation in the mesial temporal lobe (MTL). In CU Aβ+, significantly higher rate of accumulation was seen in the MTL (particularly the amygdala), extending into the inferior temporal lobes. In MCI Aβ+, the rate of accumulation was greatest in the lateral temporal, parietal and lateral occipital cortex, and plateaued in the MTL. Accumulation was global in AD Aβ+, except for a plateau in the MTL. The eroded subcortical white matter reference region showed no significant advantage over the cerebellar cortex and appeared prone to spill-over in AD participants. Data fitting suggested approximately 15-20 years to accumulate tau to typical AD levels. Tau accumulation occurs slowly. Rates vary according to brain region, disease stage and tend to plateau at high levels. Rates of tau accumulation are best measured in the MTL and inferior temporal cortex in preclinical AD and in large neocortical areas, in MCI and AD. NHMRC; Cerveau Technologies.

Sections du résumé

BACKGROUND BACKGROUND
Tau positron emission tomography (PET) imaging enables longitudinal observation of tau accumulation in Alzheimer's disease (AD).
METHODS METHODS
One hundred and eighty-four participants: 89 cognitively unimpaired (CU) beta-amyloid negative (Aβ-), 44 CU Aβ+, 51 cognitively impaired Aβ+ (26 with mild cognitive impairment [MCI] and 25 with dementia) had follow-up
FINDINGS RESULTS
CU Aβ- participants had very low rates of tau accumulation in the mesial temporal lobe (MTL). In CU Aβ+, significantly higher rate of accumulation was seen in the MTL (particularly the amygdala), extending into the inferior temporal lobes. In MCI Aβ+, the rate of accumulation was greatest in the lateral temporal, parietal and lateral occipital cortex, and plateaued in the MTL. Accumulation was global in AD Aβ+, except for a plateau in the MTL. The eroded subcortical white matter reference region showed no significant advantage over the cerebellar cortex and appeared prone to spill-over in AD participants. Data fitting suggested approximately 15-20 years to accumulate tau to typical AD levels.
INTERPRETATION CONCLUSIONS
Tau accumulation occurs slowly. Rates vary according to brain region, disease stage and tend to plateau at high levels. Rates of tau accumulation are best measured in the MTL and inferior temporal cortex in preclinical AD and in large neocortical areas, in MCI and AD.
FUNDING BACKGROUND
NHMRC; Cerveau Technologies.

Identifiants

pubmed: 36709581
pii: S2352-3964(23)00015-4
doi: 10.1016/j.ebiom.2023.104450
pmc: PMC9900352
pii:
doi:

Substances chimiques

tau Proteins 0
Amyloid beta-Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104450

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests CCR was the recipient of a research grant from Cerveau (institution), who supplied the MK6240 tau tracer precursor for research use. CCR has received consulting fees from Prothera and Merck (scientific advisory panels) and Biogen (for preparation of educational material). CCR has received support for attending meetings and/or travel from Cerveau and the Alzheimer's Association. VLV has received consulting fees from IXICO, Eli Lilly, Life molecular imaging and has received payment/honoraria from ACE Barcelona. VLV has participated on the data safety monitoring/advisory board of Eli Lilly. JF was the recipient of a research grant from the National Health and Medical Research Council (NHMRC), grant numbers APP1132604 and APP1140955. NK, VD, JR, LW, CF, PB, and CLM do not report any disclosures.

Auteurs

Natasha Krishnadas (N)

Florey Department of Neurosciences & Mental Health, The University of Melbourne, Parkville, Victoria, 3052, Australia; Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia. Electronic address: natasha.krishnadas@florey.edu.au.

Vincent Doré (V)

Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia; Health and Biosecurity Flagship, The Australian eHealth Research Centre, Melbourne, Victoria, Australia.

Joanne S Robertson (JS)

Florey Institute of Neurosciences & Mental Health, Parkville, Victoria, 3010, Australia.

Larry Ward (L)

Florey Institute of Neurosciences & Mental Health, Parkville, Victoria, 3010, Australia.

Christopher Fowler (C)

Florey Institute of Neurosciences & Mental Health, Parkville, Victoria, 3010, Australia.

Colin L Masters (CL)

Florey Institute of Neurosciences & Mental Health, Parkville, Victoria, 3010, Australia.

Pierrick Bourgeat (P)

Health and Biosecurity Flagship, The Australian eHealth Research Centre, Brisbane, Queensland, Australia.

Jurgen Fripp (J)

Health and Biosecurity Flagship, The Australian eHealth Research Centre, Brisbane, Queensland, Australia.

Victor L Villemagne (VL)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.

Christopher C Rowe (CC)

Florey Department of Neurosciences & Mental Health, The University of Melbourne, Parkville, Victoria, 3052, Australia; Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia; Florey Institute of Neurosciences & Mental Health, Parkville, Victoria, 3010, Australia.

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Classifications MeSH