Microglial Activation and Tau Accumulation in the Alzheimer's Disease Spectrum: Insights from Longitudinal PET Imaging

Background Recent evidence suggests that microglial activation mirrors tau accumulation along highly connected brain regions, but their relation remains unclear. We examined (a) longitudinal changes in microglial activation in Alzheimer's disease spectrum (ADS) compared to healthy controls (HC) (b) whether these changes are linked to tau levels and their functional connectivity (FC), and (c) the relation of microglia and tau across CDR-based groups.Method As part of the longitudinal ActiGliA prospective cohort study, ADS (n = 36, defined by CSF Aβ42/Aβ40 ratio or an Aβ PET composite of ADS) and HC (n = 20, with CDR=0 and no Aβ pathology) underwent [18F]GE-180 (TSPO) imaging to assess microglial activation and resting-state fMRI to determine FC, alongside structural T1 MRI. After 18 months, a subset of participants received follow-up TAU-PET ([18F]Flutemetamol) and TSPO-PET.Results TSPO ratios (FU/BL SUVRs) increased from baseline to follow-up in ADS when compared to HC (paired median difference 0.0718, p <0.001), and were negatively correlated with TAU (⍴=-0.207, p = 0.003) or TSPO SUVRs (⍴=-0.152, p = 0.032), while HCs showed positive correlations. For ADS participants, the TSPO SUVR ratio (⍴=-0.19, p = 0.008) and ADS-HC TSPO ratio difference (⍴=-0.27, p <0.001) were inversely associated with FC distance from the TAU hotspot, a pattern opposite in HCs. Braak-like stage analysis showed TSPO SUVR increases in ADS at advanced stages (Braak 5: 0.011, Braak 6: 0.0115) but decreases in HC. TAU SUVRs in CDR=0 (n = 13) were better predicted by TSPO SUVRs in CDR=0.5 (n = 6) (β=1.16, R2=0.79, AIC=-509) than CDR=0 TSPO SUVRs (β=1.3, R2=0.64, AIC=-307). Similarly, the TAU SUVRs in CDR=0.5 were better estimated by CDR=0.5 TSPO SUVRs (β=0.79, R2=0.64, AIC=-400), than in CDR=0 (β=0.89, R2=0.5, AIC=-239).Conclusion These findings suggest microglial activation increases in ADS and correlates inversely with TAU, with spatial and temporal patterns supporting a mild pseudotemporal precedence of microglial activation over tau accumulation.

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Open Access CRIS of the University of Bern
Published
2025-12-01
DOI
https://doi.org/10.48620/93609
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
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article
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article

Microglial Activation and Tau Accumulation in the Alzheimer's Disease Spectrum: Insights from Longitudinal PET Imaging

Oliver Pogarell, Florian Eckenweber, Maia Tatò, Robert Perneczky et al.
Open Access CRIS of the University of Bern
Neuroinflammation and Neurodegeneration Mechanisms
article

Microglial Activation and Tau Accumulation in the Alzheimer's Disease Spectrum: Insights from Longitudinal PET Imaging

Oliver Pogarell, Florian Eckenweber, Maia Tatò, Robert Perneczky, Endy Weidinger, Oliver Goldhardt, Boris Papazov, Peter Bartenstein, Selim Guersel, Johannes Levin, Carla Palleis, Michael Ewers, Gloria Biechele, Lena Burow, Matthias Brendel, Katharina Büerger, Marco Öchsner, Jan Haeckert, Sebastian Schuster, Axel Rominger, Carolin Kurz, Daniel Janowitz, R. Rupprecht, Mirlind Zaganjori, Anika Finze, Nicolai Franzmeier, Julia Utecht, Sophia Stöcklein, Ersin Ersözlü, Boris-Stephan Rauchmann, Daniel Keeser, Olaf Dietrich, Estrella Morenas-Rodriguez, Lena-Katharina Trappmann, Günter U Höglinger, Timo Grimmer
article en

Abstract

Background Recent evidence suggests that microglial activation mirrors tau accumulation along highly connected brain regions, but their relation remains unclear. We examined (a) longitudinal changes in microglial activation in Alzheimer's disease spectrum (ADS) compared to healthy controls (HC) (b) whether these changes are linked to tau levels and their functional connectivity (FC), and (c) the relation of microglia and tau across CDR-based groups.Method As part of the longitudinal ActiGliA prospective cohort study, ADS (n = 36, defined by CSF Aβ42/Aβ40 ratio or an Aβ PET composite of ADS) and HC (n = 20, with CDR=0 and no Aβ pathology) underwent [18F]GE-180 (TSPO) imaging to assess microglial activation and resting-state fMRI to determine FC, alongside structural T1 MRI. After 18 months, a subset of participants received follow-up TAU-PET ([18F]Flutemetamol) and TSPO-PET.Results TSPO ratios (FU/BL SUVRs) increased from baseline to follow-up in ADS when compared to HC (paired median difference 0.0718, p <0.001), and were negatively correlated with TAU (⍴=-0.207, p = 0.003) or TSPO SUVRs (⍴=-0.152, p = 0.032), while HCs showed positive correlations. For ADS participants, the TSPO SUVR ratio (⍴=-0.19, p = 0.008) and ADS-HC TSPO ratio difference (⍴=-0.27, p <0.001) were inversely associated with FC distance from the TAU hotspot, a pattern opposite in HCs. Braak-like stage analysis showed TSPO SUVR increases in ADS at advanced stages (Braak 5: 0.011, Braak 6: 0.0115) but decreases in HC. TAU SUVRs in CDR=0 (n = 13) were better predicted by TSPO SUVRs in CDR=0.5 (n = 6) (β=1.16, R2=0.79, AIC=-509) than CDR=0 TSPO SUVRs (β=1.3, R2=0.64, AIC=-307). Similarly, the TAU SUVRs in CDR=0.5 were better estimated by CDR=0.5 TSPO SUVRs (β=0.79, R2=0.64, AIC=-400), than in CDR=0 (β=0.89, R2=0.5, AIC=-239).Conclusion These findings suggest microglial activation increases in ADS and correlates inversely with TAU, with spatial and temporal patterns supporting a mild pseudotemporal precedence of microglial activation over tau accumulation.

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