Evidence map›Paper›PMID 40881432›Full record

ArticleInternational journal of ophthalmology2025

Cuproptosis-related signature and immune infiltration in age-related macular degeneration.

Chen Li, Yi-Cheng Lu, Ming-Xuan Chen

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chen LiDepartment of Ophthalmology, the First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Yi-Cheng LuDepartment of Ophthalmology, the First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Ming-Xuan ChenSchool of Clinical Medicine, Medical College of Soochow University, Suzhou 215006, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate cuproptosis-related molecular and immune infiltration in age-related macular degeneration (AMD) development and establish a predictive model.

methodsThe expression profiles of cuproptosis-related genes and immune signature in AMD based on the microarray dataset GSE29801 were analyzed. A total of 142 AMD samples were used to identify the cuproptosis-related differentially expressed genes (Cu-DEGs), together with the immune cell infiltration. To further refine the list of potential genes for AMD diagnosis, three machine learning techniques were used, and an external dataset were applied for confirming the accuracy of the predictive performance. Reverse transcription polymerase chain reaction (RT-PCR) were also performed to examine the level of mRNA of hub genes. The activated immune responses and Cu-DEGs were assessed between AMD and controls.

resultsSix genes, including

conclusionIn this study, the possible relationship between cuproptosis and AMD is expounded systematically. A predictive model is developed to assess the risk of cuproptosis-related genes and their clinical prognostic value in AMD patients.

Indexed as

age-related macular degenerationcuproptosisimmune infiltrationmachine learning

Identifiers

PMID40881432
PMCPMC12378673

What OpenQuestion holds

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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 OpenQuestion graph.