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February 26, 2026Acta Neuropathologica5 citationsOpen Access

Disentangling on and off-target binding in flortaucipir PET: a voxel-to-voxel P-tau, ferric iron, and MAO-B histology-to-flortaucipir PET comparison

YCY. ChenRJRenaud La JoieFPFelipe L. Pereira

Key Points

  • The research aims to clarify the correlation between Flortaucipir PET signals and various biological factors in different tauopathies.
  • Employed voxel-to-voxel correlation analysis
  • Analyzed histology-Flortaucipir pairs
  • Focused on tau burden, ferric iron, and MAO-B in individual cases
  • In Alzheimer's disease, Flortaucipir correlates moderately with tau pathology.
  • In non-Alzheimer's tauopathies, correlations with tau are weak or negligible.
  • Flortaucipir signals correlate more strongly with ferric iron and MAO-B in non-AD cases.

Abstract

Abstract Flortaucipir PET imaging has significantly advanced our ability to visualize tau pathology in vivo. However, off-target Flortaucipir signal remains a considerable challenge for interpreting of imaging results, particularly in non-Alzheimer's tauopathies and non-tau pathologies. To better understand this off-target signal, we used an innovative voxel-to-voxel correlation approach, analyzing thousands of histology-Flortaucipir pairs from individual cases. This allowed us to quantitatively assess the relationship between Flortaucipir PET signal and three key biological factors: histological tau burden (CP-13 phospho-tau), ferric iron (Perls’ Prussian blue), and monoamine oxidase B (MAO-B). Our study included individuals with Alzheimer's disease (AD), various non-AD tauopathies, and a case of FTLD-TDP-43 type A. In AD, Flortaucipir signal showed a significant but moderate correlation with histological tau pathology, suggesting that while tau is a major contributor, other biological factors also influence Flortaucipir binding in AD. Conversely, in non-AD tauopathies and FTLD-TDP-43, correlations between Flortaucipir signal and tau pathology were weak or negligible. Instead, Flortaucipir signal correlated more strongly with ferric iron and MAO-B. However, these factors did not fully explain all the off-target signals, implying other unknown contributors are likely involved. These findings underscore the complexity of interpreting Flortaucipir PET scans. A thorough understanding of off-target binding mechanisms is crucial for improving the diagnostic accuracy of Flortaucipir PET and its specificity.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/699fe3f995ddcd3a253e825ehttps://doi.org/10.1007/s00401-026-02983-x
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