Data-driven modelling of tau pathology reveals distinct progressive supranuclear palsy subtypes

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Authors: Patrick W. Cullinane, Jacy Bezerra Parmera, Hemanth R. Nelvagal, Toby J Curless, Leckhna Paras Chajed, Sarah Wrigley, Walter Sifontes Valladares, Maggie Burrows, Kirsten Ebanks, Lesley Wu, Lawrence Peter Binding, Jaime Anton
+15 more Tamas Revesz, Raquel Real, David P. Vaughan, Edwin Jabbari, Huw R. Morris, Sebastian Brandner, Alexandra L. Young, Glen Hoti, Yangxinrui Ma, Mariam Bechtawi, Nancy Chiraki, Eduardo De Pablo‐Fernández, Yau Mun Lim, Thomas T. Warner, Zane Jaunmuktane
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References: 73

Abstract

Progressive supranuclear palsy (PSP) is a heterogeneous neurodegenerative disease characterized by the accumulation of misfolded 4-repeat tau within neurons and glial cells. There are limited longitudinal data on pathologically confirmed PSP patients with phenotypes other than classic Richardson's syndrome (RS) and the pathomechanisms responsible for the broad variability in clinical phenotype and progression are not well understood. An unresolved question in this context is whether distinct spatiotemporal patterns of tau pathology propagation exist within the clinicopathological spectrum of PSP. We included 241 consecutive, pathologically confirmed patients with PSP from the Queen Square Brain Bank for Neurological Disorders (2010-2022). Phenotyping was performed based on clinical features present within the first 3 years from symptom onset according to the Movement Disorder Society (MDS) criteria, and specific clinical features and disease milestones were recorded. Genotyping was performed using Illumina NeuroBooster and NeuroChip arrays and MAPT haplotype, APOE genotype, TRIM11 rs564309 and SLC2A13 rs2242367 single nucleotide polymorphism data were collated. Tissue sections from eight brain regions, mounted on glass slides, were immunostained for hyperphosphorylated tau and digitized using whole-slide scanning. Forty-one anatomical regions of interest were manually segmented, and total tau pathology burden was quantified using an automated, machine learning-based algorithm. The associations between survival and both clinicogenetic features and regional tau pathology burden were modelled using Cox regression and generalized linear models, respectively, and the Subtype and Stage Inference (SuStaIn) algorithm was used to identify subgroups with distinct progression patterns. We have identified: (i) several clinical predictors of survival in PSP and the relationship between regional tau pathology burden and survival; (ii) novel anatomical reference standards for the expected distribution of tau pathology across MDS-defined PSP phenotypes, including region-specific white matter involvement in patients with corticobasal syndrome and speech/language variants; (iii) associations potentially linking biological sex, MAPT haplotype and TAR DNA-binding protein 43 (TDP-43) co-pathology to clinical phenotype and regional tau pathology burden; (iv) patterns of covariance in regional tau pathology implicating inter-regional connectivity in tau spreading; and (v) three distinct spatiotemporal patterns of tau pathology progression: one characterized by initial involvement of subcortical grey matter followed by rostral spread to cortical regions and two characterized by early, simultaneous involvement of subcortical grey matter and cortical regions. Taken together, these results indicate that PSP clinicopathological heterogeneity is mediated by propagation of tau pathology along anatomically connected networks and via intrinsic regional susceptibility mechanisms, possibly influenced by sex, genetic factors and co-pathology.

Fields of Study & Subjects

Parkinson's Disease Mechanisms and Treatments Neurological disorders and treatments Alzheimer's disease research and treatments

Publication details

Journal / source
Brain
Publisher
Oxford University Press (OUP)
Volume
149
Issue
9
Pages
3080–3094
Publication date
11 April 2026
Language
EN