Evidence map›Paper›PMID 37990436›Full record

ArticleCNS neuroscience & therapeutics2024

Identification of mitophagy-associated proteins profile as potential plasma biomarkers of idiopathic Parkinson's disease.

Shuangjie Qian, Haijun He, Xi Xiong, Ruixue Ai, Wenwen Wang, Huimin Zhu, Qianqian Ye, Shuoting Zhou, Hilde Nilsen, Chenglong Xie

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 5 institutions in 2 countries.

Shuangjie QianDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Haijun HeDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xi XiongDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Ruixue AiDepartment of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway.
Wenwen WangThe Center of Traditional Chinese Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Huimin ZhuDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qianqian YeDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Shuoting ZhouDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hilde NilsenDepartment of Microbiology, Oslo University Hospital, Oslo, Norway.
Chenglong XieDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
First Affiliated Hospital of Wenzhou Medical University · CNWenzhou Medical University · CNAkershus University Hospital · NOSecond Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University · CNUniversity of Oslo · NO

Funding

Projects of the National Science Foundation of China 81600977Projects of the National Science Foundation of China 82271469Projects of the Natural Science Foundation of Zhejiang Province LQ23H090007Projects of the Natural Science Foundation of Zhejiang Province LZ23H090001Projects of the Natural Science Foundation of Zhejiang Province Y19H090059
6 · The paper itself

Abstract

backgroundDespite extensive work to identify diagnostic plasma markers for Parkinson's disease (PD), there are still no accepted and validated surrogate biomarkers. Mitophagy-associated proteins (MAPs), including PTEN-induced putative kinase 1 (PINK1), Parkin, phosphoglycerate mutase 5 (PGAM5), BCL2 interacting protein 3 (BNIP3), and phosphorylated-TBK1 (p-TBK1), are, to our best knowledge, not well studied as a panel of biomarkers of neurodegeneration in PD.

methodsThe study population comprised 116 age-matched controls (HC), 179 PD patients, alongside and 90 PD syndromes (PDs) divided between two cohorts: (i) the modeling cohort (cohort 1), including 150 PD, 97 HC, and 80 PDs; and (ii) the validated cohort (cohort 2), including 29 PD, 19 HC, and 10 PDs.

resultsMAPs are elevated in the plasma of PD patients. PINK1, Parkin, and PGAM5 displayed the top three measurable increase trends in amplitude compared to BNIP3 and p-TBK1. Moreover, the area under the curve (AUC) values of PINK1, PGAM5, and Parkin were ranked the top three MAP candidates in diagnosis accuracy for PD from HC, but the MAPs make it hard to differentiate PD from PDs. In addition, there are higher plasma PINK1-Parkin levels and prominent diagnostic accuracy in A-synuclein (+) subjects than in A-synuclein (-) subjects.

conclusionsThese results uncover that plasma MAPs (PINK1, Parkin, and PGAM5) may be potentially useful diagnostic biomarkers for PD diagnosis. Studies on larger cohorts would be required to test whether elevated plasma MAP levels are related to PD risk or prognosis.

Indexed as

BiomarkersMitophagyParkinson DiseaseProtein KinasesUbiquitin-Protein LigasesAgedCohort StudiesFemaleHumansMaleMembrane ProteinsMiddle AgedMitochondrial ProteinsPhosphoprotein PhosphatasesProtein Serine-Threonine KinasesProto-Oncogene ProteinsBiomarkersBNIP3 protein, humanMembrane ProteinsMitochondrial Proteinsparkin proteinPGAM5 protein, humanPhosphoprotein PhosphatasesProtein KinasesProtein Serine-Threonine KinasesProto-Oncogene ProteinsPTEN-Induced Putative KinaseTBK1 protein, humanUbiquitin-Protein LigasesbiomarkersdiagnosisMAPsmitophagy‐associated proteinsParkinson's disease

Identifiers

PMID37990436
PMCPMC11056850
OpenAlexW4388922141

What OpenQuestion holds

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LicenceCC BY
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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.