Evidence map›Paper›PMID 36997567›Full record

ArticleScientific reports2023

Evaluation of plasma levels of NFL, GFAP, UCHL1 and tau as Parkinson's disease biomarkers using multiplexed single molecule counting.

Priscilla Youssef, Laura Hughes, Woojin S Kim, Glenda M Halliday, Simon J G Lewis, Antony Cooper, Nicolas Dzamko

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  15. Blood metabolomics improves prediction of central nervous system damage in multiple sclerosis.Metabolomics : Official journal of the Metabolomic Society · 2025
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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

7 authors at 2 institutions in 1 country.

Priscilla YoussefFaculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia.
Laura HughesFaculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia.
Woojin S KimFaculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia.
Glenda M HallidayFaculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia.
Simon J G LewisFaculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia.
Antony CooperGarvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia.
Nicolas DzamkoFaculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia. nicolas.dzamko@sydney.edu.au.
The University of Sydney · AUSt Vincent's Clinic · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective biomarkers for Parkinson's Disease (PD) could aid early and specific diagnosis, effective monitoring of disease progression, and improved design and interpretation of clinical trials. Although alpha-synuclein remains a biomarker candidate of interest, the multifactorial and heterogenous nature of PD highlights the need for a PD biomarker panel. Ideal biomarker candidates include markers that are detectable in easily accessible samples, (ideally blood) and that reflect the underlying pathological process of PD. In the present study, we explored the diagnostic and prognostic PD biomarker potential of the SIMOA neurology 4-plex-A biomarker panel, which included neurofilament light (NFL), glial fibrillary acid protein (GFAP), tau and ubiquitin C-terminal hydrolase L1 (UCHL-1). We initially performed a serum vs plasma comparative study to determine the most suitable blood-based matrix for the measurement of these proteins in a multiplexed assay. The levels of NFL and GFAP in plasma and serum were highly correlated (Spearman rho-0.923, p < 0.0001 and rho = 0.825, p < 0.001 respectively). In contrast, the levels of tau were significantly higher in plasma compared to serum samples (p < 0.0001) with no correlation between sample type (Spearman p > 0.05). The neurology 4-plex-A panel, along with plasma alpha-synuclein was then assessed in a cross-sectional cohort of 29 PD patients and 30 controls. Plasma NFL levels positively correlated with both GFAP and alpha-synuclein levels (rho = 0.721, p < 0.0001 and rho = 0.390, p < 0.05 respectively). As diagnostic biomarkers, the control and PD groups did not differ in their mean NFL, GFAP, tau or UCHL-1 plasma levels (t test p > 0.05). As disease state biomarkers, motor severity (MDS-UPDRS III) correlated with increased NFL (rho = 0.646, p < 0.0001), GFAP (rho = 0.450, p < 0.05) and alpha-synuclein levels (rho = 0.406, p < 0.05), while motor stage (Hoehn and Yahr) correlated with increased NFL (rho = 0.455, p < 0.05) and GFAP (rho = 0.549, p < 0.01) but not alpha-synuclein levels (p > 0.05). In conclusion, plasma was determined to be most suitable blood-based matrix for multiplexing the neurology 4-plex-A panel. Given their correlation with motor features of PD, NFL and GFAP appear to be promising disease state biomarker candidates and further longitudinal validation of these two proteins as blood-based biomarkers for PD progression is warranted.

Indexed as

Parkinson DiseaseBiomarkersCross-Sectional StudiesGlial Fibrillary Acidic ProteinHumansUbiquitin ThiolesteraseBiomarkersGlial Fibrillary Acidic ProteinUbiquitin ThiolesteraseUCHL1 protein, human

Identifiers

PMID36997567
PMCPMC10063670
OpenAlexW4362506627

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.