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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Getting a diagnosis

Topic: Brain proteins, microglia and lab models

Synucleinopathies are neurodegenerative diseases that are associated with the misfolding and aggregation of α-synuclein, including Parkinson's disease, dementia with Lewy bodies and multiple system atrophy 1 . Clinically, it is challenging to differentiate Parkinson's disease and multiple system atrophy, especially at the early stages of disease 2 . Aggregates of α-synuclein in distinct synucleinopathies have been proposed to represent different conformational strains of α-synuclein that can self-propagate and spread from cell to cell 3-6 . Protein misfolding cyclic amplification (PMCA) is a technique that has previously been used to detect α-synuclein aggregates in samples of cerebrospinal fluid with high sensitivity and specificity 7,8 . Here we show that the α-synuclein-PMCA assay can discriminate between samples of cerebrospinal fluid from patients diagnosed with Parkinson's disease and samples from patients with multiple system atrophy, with an overall sensitivity of 95.4%. We used a combination of biochemical, biophysical and biological methods to analyse the product of α-synuclein-PMCA, and found that the characteristics of the α-synuclein aggregates in the cerebrospinal fluid could be used to readily distinguish between Parkinson's disease and multiple system atrophy. We also found that the properties of aggregates that were amplified from the cerebrospinal fluid were similar to those of aggregates that were amplified from the brain. These findings suggest that α-synuclein aggregates that are associated with Parkinson's disease and multiple system atrophy correspond to different conformational strains of α-synuclein, which can be amplified and detected by α-synuclein-PMCA. Our results may help to improve our understanding of the mechanism of α-synuclein misfolding and the structures of the aggregates that are implicated in different synucleinopathies, and may also enable the development of a biochemical assay to discriminate between Parkinson's disease and multiple system atrophy.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Shahnawaz, M., Mukherjee, A., Pritzkow, S., Mendez, N., Rabadia, P., Liu, X., et al. (2020). Discriminating α-synuclein strains in Parkinson's disease and multiple system atrophy. Nature. https://doi.org/10.1038/s41586-020-1984-7

Vancouver

Shahnawaz M, Mukherjee A, Pritzkow S, Mendez N, Rabadia P, Liu X, et al. Discriminating α-synuclein strains in Parkinson's disease and multiple system atrophy. Nature. 2020. doi:10.1038/s41586-020-1984-7. PMID: 32025029.

BibTeX

@article{shahnawaz2020-32025029,
  author  = {Shahnawaz, M. and Mukherjee, A. and Pritzkow, S. and Mendez, N. and Rabadia, P. and Liu, X. and Hu, B. and Schmeichel, A. and others},
  title   = {{Discriminating α-synuclein strains in Parkinson's disease and multiple system atrophy}},
  journal = {Nature},
  year    = {2020},
  doi     = {10.1038/s41586-020-1984-7},
  pmid    = {32025029},
  url     = {https://doi.org/10.1038/s41586-020-1984-7}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

Key findings

Why it matters

This laboratory study showed that an assay measuring α-synuclein aggregates in cerebrospinal fluid could tell Parkinson's disease apart from multiple system atrophy with high sensitivity. It concerns diagnosis of these synucleinopathies, not treatment, cure or prevention of Alzheimer's disease.

Study details

How this study scored 61/100
How this study's score is builtJournal tier 10 of 10; Journal's citation record 4 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 2 of 5; Sample size 0 of 4; Effect reported 2 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 6 of 7; Citations per year 5 of 5; Impact for its field and year 6 of 6; Cited by studies here 3 of 6; Still being cited 4 of 4; Senior author's track record 3 of 4; Institution's track record 2 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 61 of 100.61 of 100 points earned39 not earned

Published in a top-tier journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 10 / 10 Tier 1 — top-tier general journal (Nature)
Journal's citation record 4 / 4 Nature: journal h-index 1,841 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 2 / 5 2020 — within 10 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 6 / 7 Cited 826 times (OpenAlex, 2026-10-10)
Citations per year 5 / 5 103.2 citations a year over 8 year(s) since 2020
Impact for its field and year 6 / 6 Cited 42.6× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 3 / 6 Cited by 11 other studies in this library
Still being cited 4 / 4 Cited 368 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 3 / 4 Last-listed author Claudio A. Soto: h-index 90 (OpenAlex, whole career)
Institution's track record 2 / 3 Mayo Clinic: institution h-index 1,606 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 2 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 32025029)
Free to read 0 / 2 Behind a paywall — scores zero
Total 61 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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Studies this one cites

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