Evidence map›Paper›PMID 40730817›Full record

ArticleNPJ Parkinson's disease2025

A novel approach to detecting plasma synuclein aggregates for Parkinson's disease diagnosis.

Hyo Rim Ko, Dawon Lee, Hyojung Park, Haemin Jeong, Taehwi Yoon, Sungmin Kang, Hye Lim Park, Soo Jin Kwon, SangYun Kim, Nayoung Ryoo and 1 more

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. microRNA-7-5p and α-Synuclein SAA Predict Parkinson's Disease Phenoconversion.Annals of clinical and translational neurology · 2026
    Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hyo Rim KoResearch and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea.
Dawon LeeResearch and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea.
Hyojung ParkResearch and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea.
Haemin JeongResearch and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea.
Taehwi YoonResearch and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea.
Sungmin KangResearch and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea.
Hye Lim ParkDivision of Nuclear Medicine, Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Soo Jin KwonDivision of Nuclear Medicine, Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
SangYun KimDepartment of Neurology, Seoul National University College of Medicine & Neurocognitive Behavior Center, Seoul National University Bundang Hospital, Seoul, South Korea.
Nayoung Ryoo *Department of Neurology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea. nyryoo@gmail.com.
Ji Sun Ryu *Research and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea. yu.jisun@peoplebio.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha-synuclein (αSyn) aggregates are pathognomonic of Parkinson's disease (PD) and play a critical role in its pathogenesis. However, existing diagnostic approaches rely on invasive cerebrospinal fluid (CSF) sampling or tissue biopsies, limiting their accessibility and scalability in clinical practice. Here, we present the Constant Shake-Induced Conversion (CSIC) assay, a novel plasma-based technique for the detection of αSyn aggregates. A total of 102 participants, comprising 42 PD patients and 60 healthy controls (HCs), were enrolled. Plasma samples were subjected to CSIC and validated via αSyn depletion, enzyme-linked immunosorbent assay (ELISA), and Western blotting. Diagnostic performance was assessed using receiver operating characteristic (ROC) analysis, and clinical associations were examined using Spearman's correlation. The CSIC assay achieved an area under the curve (AUC) of 0.91, with 81% sensitivity and 85% specificity in distinguishing PD from HCs. Assay specificity was confirmed through αSyn depletion, and reproducibility assessments yielded intra- and inter-assay coefficients of variation below 10% and ~20%, respectively. Notably, plasma αSyn aggregate levels correlated with Hoehn and Yahr (H&Y) stage (r = 0.69), Unified Parkinson's Disease Rating Scale (UPDRS) (r = 0.68), and Montreal Cognitive Assessment scores (r = -0.47). These findings establish CSIC as a robust, non-invasive diagnostic method with strong potential for clinical implementation in PD.

Identifiers

PMID40730817
PMCPMC12307715

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.