Evidence map›Paper›PMID 39552415›Full record

ArticleAnnals of medicine2024

Identification of copper metabolism-related markers in Parkinson's disease.

Jie Lin, Guifeng Zhang, Bo Lou, Yi Sun, Xiaodong Jia, Meidan Wang, Jing Zhou, Zhangyong Xia

Abstract read
In one paragraph

Article in Annals of medicine, 2024. 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

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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. Article
  3. Review
  4. Article
  5. Review
  6. Identification of a TIGIT-expressing CD8Frontiers in immunology · 2025
    Article
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

8 authors.

Jie LinDepartment of Joint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, P.R. China.ORCID 0000-0001-5244-3610
Guifeng ZhangDepartment of Neurology, Liaocheng People's Hospital and Liaocheng Hospital Affiliated to Shandong First Medical University, Liaocheng, P.R. China.ORCID 0009-0000-5463-3784
Bo LouDepartment of Neurology, The Third People's Hospital of Liaocheng, Liaocheng, P.R. China.ORCID 0009-0004-1078-4918
Yi SunDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, P.R. China.ORCID 0000-0002-9728-2205
Xiaodong JiaDepartment of Joint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, P.R. China.ORCID 0000-0002-1901-1442
Meidan WangFaculty of Biology, University of Freiburg, Freiburg, Germany.ORCID 0009-0000-6524-8881
Jing ZhouDepartment of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, P.R. China.ORCID 0009-0006-0920-129X
Zhangyong XiaDepartment of Neurology, Liaocheng People's Hospital, Shandong University, Jinan, P.R. China.ORCID 0000-0002-1627-0684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to identify key genes related to copper metabolism in Parkinson's disease (PD), providing insight into their roles in disease progression.

methodsUsing bioinformatic analyses, the study identified hub genes related to copper metabolism in PD patients. Differentially expressed genes (DEGs) were identified using the limma package, and copper-metabolism-related genes (CMRGs) were sourced from the Genecard database. Immune cell-related genes were derived through immune infiltration and Weighted Gene Co-expression Network Analysis (WGCNA). Hub genes were pinpointed by integrating DEGs, CMRGs, and immune cell-related genes. Functional analyses included Receiver Operating Characteristic (ROC) analysis, Ingenuity Pathway Analysis (IPA), and networks for miRNA-mRNA-transcription factor (TF), Competitive Endogenous RNA (ceRNA), and hub gene-drug interactions. Validation was performed in cerebrospinal fluid (CSF) samples from PD patients, while in vitro experiments utilized GBE1- overexpressing SH-SY5Y cells to examine cell proliferation, migration, and viability.

resultsNine hub genes (HPRT1, GLS, SNCA, MDH1, GBE1, DDC, STXBP1, ACHE, and AGTR1) were identified from 753 CMRGs, 416 DEGs, and 951 immune cell-related genes. ROC analysis showed high predictive accuracy for PD, and principal component analysis (PCA) effectively distinguished PD patients from controls. IPA identified 20 significant pathways, and various networks highlighted miRNA, TF, and drug interactions with the hub genes. Hub gene expression was validated in PD CSF samples. GBE1-overexpressing cells displayed enhanced proliferation, migration, and viability.

conclusionsThe study identified nine copper metabolism-related genes as potential therapeutic targets in PD, highlighting their relevance in PD pathology and possible treatment pathways.

Indexed as

CopperParkinson DiseaseAgedBiomarkersCell ProliferationComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleMicroRNAsMiddle AgedBiomarkersCopperMicroRNAsbiomarkercopper metabolismGBE1hub genesParkinson’s disease

Identifiers

PMID39552415
PMCPMC11574951

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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.