Evidence map›Paper›PMID 41708653›Full record

ArticleNPJ Parkinson's disease2026

Detection of alpha-synuclein seeding activity in tear fluid in patients with Parkinson's disease.

Sezgi Canaslan, Matthias Schmitz, Fabian Maass, Peter Hermann, Susana Da Silva Correia, Shuyu Zhang, Bastian Popper, Wiebke Möbius, Christoph van Riesen, Piero Parchi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ Parkinson's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. 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

12 authors.

Sezgi Canaslan *Department of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Matthias Schmitz *Department of Neurology, University Medical Center Göttingen, Göttingen, Germany. matthias.schmitz@med.uni-goettingen.de.
Fabian MaassDepartment of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Peter HermannDepartment of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Susana Da Silva CorreiaDepartment of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Shuyu ZhangDepartment of Neurology, Klinikum rechts der Isar of the Technical University of Munich, Munich, Germany.
Bastian PopperBiomedical Center, Core Facility Animal Models, Medical Faculty, LMU Munich, Munich, Germany.
Wiebke MöbiusEM Core Unit, Department for Neurogenetics, Max Planck Institute for Experimental Medicine, Göttingen, Germany.
Christoph van RiesenDepartment of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Piero ParchiDepartment for Biomedical and Neuromotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy.
Paul LingorDepartment of Neurology, Klinikum rechts der Isar of the Technical University of Munich, Munich, Germany.
Inga ZerrDepartment of Neurology, University Medical Center Göttingen, Göttingen, Germany.

Funding

Michael J. Fox Foundation for Parkinson's Research MJFF-026786
6 · The paper itself

Abstract

Detection of alpha-synuclein (α-Syn) seeding activity in tear fluid (TF) offers a promising non-invasive biomarker for Parkinson's disease (PD). α-Syn seeding amplification assay (αSynSAA) detected seeding activity in 67% of PD-TF, while non-synucleinopathy samples remained negative. Electron microscopy of seeding-positive end products revealed fibrillar structures morphologically consistent with results of αSynSAA. αSynSAA effectively distinguished PD from controls and prion diseases based on seeding activity in TF.

Identifiers

PMID41708653
PMCPMC12992906

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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.