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Comparing and combining TSPO-PET tracers in tauopathies.

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Peer-reviewed

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Abstract

PURPOSE: Neuroinflammation is a key pathological driver in neurodegenerative diseases, including Alzheimer's disease (AD) and Progressive Supranuclear Palsy (PSP). Positron emission tomography (PET) with tracers targeting the translocator protein (TSPO) enables the in vivo quantification of microgliosis. TSPO tracers have shown similar disease-specific patterns across cohorts. However, direct quantitative comparisons between commonly used TSPO-PET tracers in tauopathies have not been performed. Here, we apply a TSPO-PET standardization pipeline across clinically matched AD cohorts and PSP cohorts, to quantify, compare and combine multi-centre TSPO-PET data. METHODS: Patients with PSP were scanned with either [11C]PK11195 or [18F]GE-180 at one of two centres, while patients with AD and control participants were scanned with either [11C]PK11195, [18F]GE-180 or [11C]PBR28 at one of three centres. A standardised pre-processing pipeline was implemented and participant standardised uptake volume ratio (SUVR) values were z-scored using tracer-specific control participant values. In a data-driven approach, dissimilarity analyses were employed to assess differences between tracers across clinically matched cohorts. RESULTS: In PSP, dissimilarity analysis suggested that [11C]PK11195 and [18F]GE-180 binding patterns were comparable following standardisation. In AD, comparability across tracers was less robust, with [11C]PK11195 and [18F]GE-180 being most comparable, followed by [18F]GE-180 vs. [11C]PBR28, then by [11C]PK11195 vs. [11C]PBR28. CONCLUSION: The pipeline was effective at harmonising TSPO-PET tracers and standardising the regional quantification of neuroinflammation in clinically matched cohorts of PSP, while the standardisation pipeline results were less robust across AD cohorts.

Description

Journal Title

Eur J Nucl Med Mol Imaging

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Journal ISSN

1619-7070
1619-7089

Volume Title

Publisher

Springer Nature

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Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
MRC (MC_UU_00030/14)
MRC (via University of Oxford) (MR/T033371/1)
Alzheimer's Research UK (ARUK-RADF2021A-010)
Alzheimer's Research UK (ARUK-PhD2023-018)
Wellcome Trust (220258/Z/20/Z)
Cambridge University: This study was co-funded by the Dementias Platform UK and Medical Research Council (MC_UU_00030/14; MR/T033371/1); Race Against Dementia Alzheimer’s Research UK (ARUK-RADF2021A-010); Alzheimer’s Research UK PhD Scholarship (ARUK-PhD2023-018); the Wellcome trust (220258); the Cambridge University Centre for Parkinson-Plus (RG95450); the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (NIHR203312). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. This work is also supported by the UK Dementia Research Institute through UK DRI ltd, principally funded by the Medical Research Council. LMU Munich: This study was supported by the German Center for Neurodegenerative Disorders (Deutsches Zentrum für Neurodegenerative Erkrankungen), Hirnliga (Manfred-Strohscheer Stiftung), and the German Research Foundation (Deutsche Forschungsgemeinschaft) under Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy, ID 390857198). McGill University: The TRIAD cohort study data is supported by the Weston Brain Institute, Canadian Institutes of Health Research (CIHR) [MOP-11-51-31; RFN 152985, 159815, 162303], Canadian Consortium of Neurodegeneration and Aging (CCNA; MOP-11-51-31-team 1), Brain Canada Foundation (CFI Project 34874; 33397), the Fonds de Recherche du Québec – Santé (FRQS; 2020-VICO-279314; 2024 VICO-356138; https://doi.org/10.69777/324345; https://doi.org/10.69777/356138 and https://doi.org/10.69777/312994), and the Colin J Adair Charitable Foundation.