Evidence map›Paper›PMID 36776574›Full record

ArticleFrontiers in neurology2022

Diagnostic models and predictive drugs associated with cuproptosis hub genes in Alzheimer's disease.

Erdong Zhang, Fengqiu Dai, Tingting Chen, Shanhui Liu, Chaolun Xiao, Xiangchun Shen

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. The interactions of copper, glutamate, and cuproptosis: insights into brain health and Alzheimer's disease pathology.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Review
  4. Simultaneous Imaging of CuAngewandte Chemie (International ed. in English) · 2026
    Article
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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

6 authors.

Erdong ZhangState Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Medical University, Guiyang, Guizhou, China.
Fengqiu DaiDepartment of Anatomy, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Tingting ChenGuiyang Maternal and Child Health-Care Hospital, Guiyang, Guizhou, China.
Shanhui LiuKey Laboratory of Urological Diseases in Gansu Province, Gansu Nephro-Urological Clinical Center, Institute of Urology, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Chaolun XiaoDepartment of Anatomy, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Xiangchun ShenState Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Medical University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a chronic neurodegenerative disease, and its underlying genes and treatments are unclear. Abnormalities in copper metabolism can prevent the clearance of β-amyloid peptides and promote the progression of AD pathogenesis. Therefore, the present study used a bioinformatics approach to perform an integrated analysis of the hub gene based on cuproptosis that can influence the diagnosis and treatment of AD. The gene expression profiles were obtained from the Gene Expression Omnibus database, including non-demented (ND) and AD samples. A total of 2,977 cuproptosis genes were retrieved from published articles. The seven hub genes associated with cuproptosis and AD were obtained from the differentially expressed genes and WGCNA in brain tissue from GSE33000. The GO analysis demonstrated that these genes were involved in phosphoribosyl pyrophosphate, lipid, and glucose metabolism. By stepwise regression and logistic regression analysis, we screened four of the seven cuproptosis genes to construct a diagnostic model for AD, which was validated by GES15222, GS48350, and GSE5281. In addition, immune cell infiltration of samples was investigated for correlation with these hub genes. We identified six drugs targeting these seven cuproptosis genes in DrugBank. Hence, these cuproptosis gene signatures may be an important prognostic indicator for AD and may offer new insights into treatment options.

Indexed as

Alzheimer's diseasecuproptosisdiagnosticdrugimmune

Identifiers

PMID36776574
PMCPMC9909238

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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.