ArticleBMC ophthalmology2023
Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract.
Article in BMC ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Regulation of toll-like receptor signaling pathways in age-related eye disease: from mechanisms to targeted therapeutics.Inflammopharmacology · 2025Review
- Differences in the amplitude of dynamic low-frequency fluctuations in primary angle-closure glaucoma are associated with gene-molecular multi-omics.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundCataract is commonly observed in patients with primary angle-closure glaucoma; however, its underlying pathological mechanisms remain unclear. This study aimed to improve our knowledge on the pathological processes involved in primary angle-closure glaucoma (PACG) by identifying potential prognostic genes associated with cataract progression.
methodsThirty anterior capsular membrane samples were collected from PACG patients with cataracts and age-related cataracts. Differentially expressed genes (DEGs) between these two cohorts were analyzed using high-throughput sequencing. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to screen the DEGs, and potential prognostic markers and their coexpression network were then predicted by bioinformatic analyses. The DEGs were further validated by reverse transcription-quantitative polymerase chain reaction.
resultsA total of 399 DEGs were found to be specifically associated with cataracts development in PACG patients, among which 177 and 221 DEGs were upregulated and downregulated, respectively. STRING and Cytoscape network analyses revealed seven genes-CTGF, FOS, CAV1, CYR61, ICAM1, EGR1, and NR4A1-that were remarkably enriched and mainly involved in the MAPK, PI3K/Akt, Toll-like receptor, and TNF signaling pathways. RT-qPCR-based validation further confirmed that the sequencing results were accurate and reliable.
conclusionsHerein, we identified seven genes and their signaling pathways that may contribute to cataract progression in patients with high intraocular pressure. Taken together, our findings highlight new molecular mechanisms that may explain the high incidence of cataracts in PACG patients. In addition, the genes identified herein may represent new foundations for the development of therapeutic strategies for PACG with cataract.
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