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Propagative α-synuclein seeds as serum biomarkers for synucleinopathies

  • Ayami Okuzumi
  • , Taku Hatano
  • , Gen Matsumoto
  • , Shuko Nojiri
  • , Shin ichi Ueno
  • , Yoko Imamichi-Tatano
  • , Haruka Kimura
  • , Soichiro Kakuta
  • , Akihide Kondo
  • , Takeshi Fukuhara
  • , Yuanzhe Li
  • , Manabu Funayama
  • , Shinji Saiki
  • , Daisuke Taniguchi
  • , Taiji Tsunemi
  • , Deborah McIntyre
  • , Jean Jacques Gérardy
  • , Michel Mittelbronn
  • , Rejko Kruger
  • , Yasuo Uchiyama
  • Nobuyuki Nukina, Nobutaka Hattori*
*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

254 Citations (Scopus)

Abstract

Abnormal α-synuclein aggregation is a key pathological feature of a group of neurodegenerative diseases known as synucleinopathies, which include Parkinson’s disease (PD), dementia with Lewy bodies and multiple system atrophy (MSA). The pathogenic β-sheet seed conformation of α-synuclein is found in various tissues, suggesting potential as a biomarker, but few studies have been able to reliably detect these seeds in serum samples. In this study, we developed a modified assay system, called immunoprecipitation-based real-time quaking-induced conversion (IP/RT-QuIC), which enables the detection of pathogenic α-synuclein seeds in the serum of individuals with synucleinopathies. In our internal first and second cohorts, IP/RT-QuIC showed high diagnostic performance for differentiating PD versus controls (area under the curve (AUC): 0.96 (95% confidence interval (CI) 0.95–0.99)/AUC: 0.93 (95% CI 0.84–1.00)) and MSA versus controls (AUC: 0.64 (95% CI 0.49–0.79)/AUC: 0.73 (95% CI 0.49–0.98)). IP/RT-QuIC also showed high diagnostic performance in differentiating individuals with PD (AUC: 0.86 (95% CI 0.74–0.99)) and MSA (AUC: 0.80 (95% CI 0.65–0.97)) from controls in a blinded external cohort. Notably, amplified seeds maintained disease-specific properties, allowing the differentiation of samples from individuals with PD versus MSA. In summary, here we present a novel platform that may allow the detection of individuals with synucleinopathies using serum samples.

Original languageEnglish
Pages (from-to)1448-1455
Number of pages8
JournalNature Medicine
Volume29
Issue number6
Early online date29 May 2023
DOIs
Publication statusPublished - Jun 2023

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