Evidence map›Paper›PMID 37165152›Full record

ArticleCommunications medicine2023

Quantitative proteomics and phosphoproteomics of urinary extracellular vesicles define putative diagnostic biosignatures for Parkinson's disease.

Marco Hadisurya, Li Li, Kananart Kuwaranancharoen, Xiaofeng Wu, Zheng-Chi Lee, Roy N Alcalay, Shalini Padmanabhan, W Andy Tao, Anton Iliuk

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

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  6. Integrated Biofluid Proteomics Identified Dynamic Functional Biomarkers ofmedRxiv : the preprint server for health sciences · 2025
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  11. [Recent advances on the role of exosomes in neurodegenerative diseases].Se pu = Chinese journal of chromatography · 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

9 authors at 4 institutions in 1 country.

Marco HadisuryaDepartment of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0002-4453-5854
Li LiTymora Analytical Operations, West Lafayette, IN, 47906, USA.
Kananart KuwaranancharoenSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0002-0769-1399
Xiaofeng WuDepartment of Chemistry, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0002-8961-2163
Zheng-Chi LeeDepartment of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA.
Roy N AlcalayDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Shalini PadmanabhanThe Michael J. Fox Foundation for Parkinson's Research, New York City, NY, 10163, USA.
W Andy TaoDepartment of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA. watao@purdue.edu.
Anton IliukDepartment of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA. anton.iliuk@tymora-analytical.com.ORCID http://orcid.org/0000-0002-2914-1363
Purdue University West Lafayette · USColumbia University Irving Medical Center · USMichael J. Fox Foundation · USTymora Analytical Operations (United States) · US

Funding

Dissecting signaling pathways and seeking EV phosphoproteins as novel biomarkers for Alzheimer's DiseaseRF1AG064250 · NIA · PURDUE UNIVERSITY · PI TAO, W. ANDY · 2020 to 2021
$1.7M
NIA NIH HHS RF1 AG064250U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) 3RF1AG064250
6 · The paper itself

Abstract

backgroundMutations in the leucine-rich repeat kinase 2 (LRRK2) gene have been recognized as genetic risk factors for Parkinson's disease (PD). However, compared to cancer, fewer genetic mutations contribute to the cause of PD, propelling the search for protein biomarkers for early detection of the disease.

methodsUtilizing 138 urine samples from four groups, healthy individuals (control), healthy individuals with G2019S mutation in the LRRK2 gene (non-manifesting carrier/NMC), PD individuals without G2019S mutation (idiopathic PD/iPD), and PD individuals with G2019S mutation (LRRK2 PD), we applied a proteomics strategy to determine potential diagnostic biomarkers for PD from urinary extracellular vesicles (EVs).

resultsAfter efficient isolation of urinary EVs through chemical affinity followed by mass spectrometric analyses of EV peptides and enriched phosphopeptides, we identify and quantify 4476 unique proteins and 2680 unique phosphoproteins. We detect multiple proteins and phosphoproteins elevated in PD EVs that are known to be involved in important PD pathways, in particular the autophagy pathway, as well as neuronal cell death, neuroinflammation, and formation of amyloid fibrils. We establish a panel of proteins and phosphoproteins as novel candidates for disease biomarkers and substantiate the biomarkers using machine learning, ROC, clinical correlation, and in-depth network analysis. Several putative disease biomarkers are further partially validated in patients with PD using parallel reaction monitoring (PRM) and immunoassay for targeted quantitation.

conclusionsThese findings demonstrate a general strategy of utilizing biofluid EV proteome/phosphoproteome as an outstanding and non-invasive source for a wide range of disease exploration.

Identifiers

PMID37165152
PMCPMC10172329
OpenAlexW4376132462

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.