DOI 10.1101/2025.07.04.25330863
Early Subtypes and Progressions of Progressive Supranuclear Palsy: A Data-Driven Brain Bank Study.
Аннотация
BACKGROUND
Progressive supranuclear palsy (PSP) is typically characterized by vertical supranuclear gaze palsy and early falls, referred to as Richardson's syndrome (PSP-RS). Other presentations include postural instability (PSP-PI), parkinsonism (PSP-P), speech/language disorder (PSP-SL), frontal presentation (PSP-F), ocular motor dysfunction (PSP-OM), and corticobasal syndrome (PSP-CBS). Differences across the early presentations and in their subsequent progression have yet to be elucidated.
OBJECTIVE
This study aimed to characterize early PSP subtypes and their subsequent progressions using a large postmortem dataset.
METHODS
An automated pipeline incorporating fine-tuned Chat Generative Pre-trained Transformer (ChatGPT) was developed. The pipeline collected 195 clinical features with onset information from autopsy-confirmed PSP cases without significant neurodegenerative co-pathologies.
RESULTS
A structured clinicopathologic dataset from 588 patients was analyzed. After distilling results with unsupervised clustering, a decision tree model was developed. With five clinical manifestations: frontal presentation, postural instability, ocular motor dysfunction, speech/language disorder, and parkinsonism, this mutually exclusive algorithm identified seven subtypes: PSP-PF (postural and frontal dysfunction), PSP-RS, PSP-PI, PSP-P, PSP-SL, PSP-F, and PSP-OM. PSP-PF showed rapid progression, the shortest median disease duration (six years), and high tau burden in cortical and subcortical regions. In PSP-F, frontal presentation preceded other symptoms by four years, with a nine-year disease duration-second longest after PSP-P (10 years). PSP-CBS was not identified as an independent subtype.
CONCLUSIONS
This data-driven study identified a novel, aggressive PSP phenotype characterized by early postural and frontal dysfunction. Early subtyping utilizing the decision tree model would help clinicians estimate progression and facilitate early patient recruitment for clinical trials.
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