Stage-dependent tau-PET signatures in Huntington’s disease revealed by [¹⁸F]PI-2620

PURPOSE: Neuropathological and biomarker evidence implicates tau dysregulation as a downstream component of Huntington's disease (HD) pathobiology, yet its in vivo distribution has not been characterised using second-generation tau-PET tracers. We aimed to define the regional organisation, stage dependence and clinical relevance of tau-sensitive PET signal across the HD disease spectrum. METHODS: Fifty-four participants (13 healthy controls, 9 premanifest mutation carriers and 32 manifest carriers) underwent 60-minute dynamic [¹⁸F]PI-2620 PET imaging. Tau-PET signal was quantified using distribution volume ratios (DVR) derived from reference-tissue kinetic modelling. Analyses combined region-of-interest and whole-brain mapping with threshold-based positivity profiling, modelling of cumulative genetic disease burden (CAP), and clinico-anatomical association analyses. RESULTS: Tau-PET abnormalities showed a spatially ordered pattern dominated by subcortical involvement. The globus pallidus exhibited the strongest effect, with marked DVR increases and high positivity rates emerging in premanifest carriers and approaching saturation in manifest HD. Additional subcortical changes involved the putamen, whereas caudate DVR decreased in manifest disease. Cortical effects were more modest and selectively involved posterior associative regions. CAP modelling supported predominantly monotonic subcortical stage-related profiles, while limbic and cortical regions showed heterogeneous cross-sectional patterns. Clinico-anatomical analyses linked subcortical tau-PET signal with genetic burden and motor severity and limbic signal with psychiatric symptoms. CONCLUSION: Tau-sensitive PET signal represents a spatially ordered and stage-dependent feature of HD and identifies a reproducible pallidal signature linked to disease burden, supporting its potential as a biomarker for patient stratification and mechanistic monitoring in therapeutic studies targeting downstream pathological processes. TRIAL REGISTRATION NUMBER: NCT07503743.

Authors

Institutions

Publication Details

Journal
European Journal of Nuclear Medicine and Molecular Imaging
Published
2026-06-29
DOI
https://doi.org/10.1007/s00259-026-08003-0
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stage-dependent tau-PET signatures in Huntington’s disease revealed by [¹⁸F]PI-2620

Valle Camacho, Jesús Pérez‐Pérez, Albert Flotats, Santiago Bullich et al.
European Journal of Nuclear Medicine and Molecular Imaging
Genetic Neurodegenerative Diseases
article

Stage-dependent tau-PET signatures in Huntington’s disease revealed by [¹⁸F]PI-2620

Valle Camacho, Jesús Pérez‐Pérez, Albert Flotats, Santiago Bullich, Javier Pagonabarraga, Saül Martínez‐Horta, Esther Pérez-Martínez, J Kulisevsky, Álex Fernández‐León, Arnau Puig-Davi, Gonzalo Olmedo-Saura, Carla Franch-Marti, Guilherme D. Kolinger, Laura Perez-Carasol
article en

Abstract

PURPOSE: Neuropathological and biomarker evidence implicates tau dysregulation as a downstream component of Huntington's disease (HD) pathobiology, yet its in vivo distribution has not been characterised using second-generation tau-PET tracers. We aimed to define the regional organisation, stage dependence and clinical relevance of tau-sensitive PET signal across the HD disease spectrum. METHODS: Fifty-four participants (13 healthy controls, 9 premanifest mutation carriers and 32 manifest carriers) underwent 60-minute dynamic [¹⁸F]PI-2620 PET imaging. Tau-PET signal was quantified using distribution volume ratios (DVR) derived from reference-tissue kinetic modelling. Analyses combined region-of-interest and whole-brain mapping with threshold-based positivity profiling, modelling of cumulative genetic disease burden (CAP), and clinico-anatomical association analyses. RESULTS: Tau-PET abnormalities showed a spatially ordered pattern dominated by subcortical involvement. The globus pallidus exhibited the strongest effect, with marked DVR increases and high positivity rates emerging in premanifest carriers and approaching saturation in manifest HD. Additional subcortical changes involved the putamen, whereas caudate DVR decreased in manifest disease. Cortical effects were more modest and selectively involved posterior associative regions. CAP modelling supported predominantly monotonic subcortical stage-related profiles, while limbic and cortical regions showed heterogeneous cross-sectional patterns. Clinico-anatomical analyses linked subcortical tau-PET signal with genetic burden and motor severity and limbic signal with psychiatric symptoms. CONCLUSION: Tau-sensitive PET signal represents a spatially ordered and stage-dependent feature of HD and identifies a reproducible pallidal signature linked to disease burden, supporting its potential as a biomarker for patient stratification and mechanistic monitoring in therapeutic studies targeting downstream pathological processes. TRIAL REGISTRATION NUMBER: NCT07503743.

European Journal of Nuclear Medicine and Molecular Imaging
Universitat Autònoma de Barcelona (ES), Hospital de Sant Pau (ES), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Freiwillige Akademische Gesellschaft (CH), Huntington's Disease Association (GB), Sant Joan de Déu Research Foundation (ES), European Huntington's Disease Network
Centres de Recerca de Catalunya, European Commission, Instituto de Salud Carlos III, European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 11%
Genetic Neurodegenerative Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.