Evidence map›Paper›PMID 38411755›Full record

ArticleInternational ophthalmology2024

Analysis and validation of potential ICD-related biomarkers in development of myopia using machine learning.

Yun Zhang, Yanli Liu, Meixia An

Abstract read
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In one paragraph

Article in International ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Yun ZhangDepartment of Ophthalmology, The Third Affiliated Hospital of Southern Medical University, Number 183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, People's Republic of China.
Yanli LiuDepartment of Ophthalmology, The Third Affiliated Hospital of Southern Medical University, Number 183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, People's Republic of China.
Meixia AnDepartment of Ophthalmology, The Third Affiliated Hospital of Southern Medical University, Number 183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, People's Republic of China. anmeixia@163.com.
Third Affiliated Hospital of Southern Medical University · CN

Funding

Guangdong Medical Science and Technology Research Foundation Project no. A2021389
6 · The paper itself

Abstract

purposeWe aimed to identify and verify potential biomarkers in the development of myopia associated with immunogenic cell death (ICD).

methodsWe download high myopia (HM) dataset GSE136701 from Gene Expression Omnibus. Differentially expressed genes in HM were identified to overlapped with ICD-related genes. Least absolute shrinkage and selection operator were used to select the Hub genes. Furthermore, the correlation between the hub genes and immune infiltration, immune response activities, and hub genes Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis was investigated using Spearman's rank correlation. Prediction of the miRNAs upstream of the Hub genes was based on the TargetScan database. We used guinea pig lens-induced myopia model's scleral tissues performed quantitative real-time polymerase chain reaction.

resultsWe identified overlapped with ICD-related genes (LY96, IL1A, IL33, and AGER) and two genes (LY96 and AGER) as hub genes. Single sample gene set enrichment analysis and Spearman's rank correlation revealed that hub gene expression levels in HM were significantly correlated with the infiltration percentages of CD56dim natural killer cells, macrophages, immature B cells, and the immune response activities of APC co-stimulation and Kyoto Encyclopedia of Genes and Genomes pathways, such as terpenoid backbone biosynthesis, aminoacyl-trna biosynthesis, Huntington's disease, oxidative phosphorylation; there were a few additional signaling pathways compared to normal samples. Additionally, several miRNA were predicted as upstream regulators of LY96 and AGER. LY96 was identified as a significantly differentially expressed biomarker in myopia guinea pig's scleral tissues, as verified by qPCR.

conclusionLY96 was identified and verified as a ICD-related potential myopia biomarker. Molecular mechanisms or pathways involved in myopia development by LY96 requires further research.

Indexed as

Huntington DiseaseMicroRNAsMyopiaAnimalsBiomarkersGuinea PigsImmunogenic Cell DeathMachine LearningBiomarkersMicroRNAsBiomarkerGEOImmunogenic cell deathLY96Myopia

Identifiers

PMID38411755
OpenAlexW4392190402

What OpenQuestion holds

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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.