ArticleCurrent issues in molecular biology2025
Bioinformatic Analysis of the Value of Mitophagy and Immune Responses in Corneal Endothelial Dysfunction.
Article in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Correction: Guo et al. Bioinformatic Analysis of the Value of Mitophagy and Immune Responses in Corneal Endothelial Dysfunction.Current issues in molecular biology · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
Abstract
This study was conducted to elucidate the mitophagy-related differentially expressed genes (MRDEGs) in corneal endothelial dysfunction (CED) and to identify key hub genes that could provide insights into the disease pathogenesis and potential targeted therapies. To achieve this, CED models were established in female SD rats, and RNA sequencing of coronal endothelium samples was conducted to generate a self-testing dataset. Comprehensive bioinformatics analyses were executed, which included the identification of differentially expressed genes (DEGs), GO and KEGG enrichment analyses, GSEA, and GSVA. A protein-protein interaction (PPI) network was constructed to identify highly interconnected hub genes, followed by the construction of ROC curves to validate MRDEGs within the dataset, alongside qRT-PCR assays. Our findings revealed a total of 18,511 DEGs, among which 20 genes were characterized as MRDEGs. Enrichment analyses indicated significant associations with monocyte differentiation and lymphocyte proliferation. Importantly, eight hub genes emerged from the PPI network as promising therapeutic targets. In conclusion, this study underscores the important role of MRDEGs and immune infiltration in CED, laying the groundwork for future investigations into targeted therapies for this disease.
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Registered trials
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.