PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 3, 2026Movement Disorders0 citations

Disease‐Specific Metabolic Patterns in Progressive Supranuclear Palsy with Richardson's Syndrome and Variants: A Longitudinal Study

View Full Paper
FJFangyang JiaoHLHuamei LinJLJiaying Lu

Key Points

  • This study aims to identify metabolic patterns specific to different variants of progressive supranuclear palsy and assess their potential to monitor disease progression and predict conversions to Richardson's syndrome.
  • Employed F-FDG PET imaging to identify metabolic patterns associated with various PSP phenotypes.
  • Utilized scaled subprofile modeling and principal-component analysis to determine relationship between patterns.
  • Conducted longitudinal assessments to monitor changes over time and predict phenotypic conversion.
  • Type-specific metabolic patterns exhibited significant similarity to the PSP-related metabolic pattern.
  • PGFRP showed more extensive striatal involvement compared to other patterns.
  • Higher baseline expressions of patterns predicted conversion from variant PSP to Richardson's syndrome.

Abstract

BACKGROUND: Progressive supranuclear palsy (PSP) is a rare tauopathy with multiple clinical phenotypes. The PSP-related metabolic pattern (PSPRP) has proved useful for differentiating PSP from other parkinsonian syndromes, but type-specific metabolic patterns remain incompletely characterized. OBJECTIVE: This study aimed to identify type-specific metabolic patterns in PSP and evaluate their ability to monitor progression and predict conversion of variant PSP (vPSP) to PSP with Richardson's syndrome (PSP-RS). METHODS: F-FDG PET) imaging. First, the PSP-RS-related pattern, PSP-P-related pattern, PSP-PGF-related pattern (PGFRP), and PSP-PI-related pattern (PIRP) were identified by scaled subprofile modeling/principal-component analysis. Furthermore, we evaluated the similarity of these patterns to previously reported PSPRP and tested their ability to classify clinical phenotypes. Finally, we evaluated these patterns longitudinally for monitoring disease progression and predicting conversion of vPSP to PSP-RS. RESULTS: All type-specific patterns showed significant topographic similarity and association with PSPRP. The PGFRP exhibited more extensive involvement in the striatum than other type-specific patterns. In general, both type-specific patterns and PSPRP demonstrated similar performance in distinguishing PSP-RS from vPSP. Pattern expressions increased at follow-up and correlated with clinical progression. Higher baseline pattern expressions significantly predicted conversion from vPSP to PSP-RS. CONCLUSIONS: PSP phenotypes exhibit type-specific metabolic covariance patterns that largely overlap with PSPRP but show phenotype-relevant differences. These patterns hold promise for longitudinal monitoring of disease progression and prediction of vPSP conversion to PSP-RS. © 2026 International Parkinson and Movement Disorder Society.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jiao et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc5d7dee9eb8c0dce73f8https://doi.org/10.1002/mds.70369
Ask AI
Helpful
Bookmark
Share
View Full Paper