ArticleInternational journal of ophthalmology2023
4D label-free proteomic analysis of vitreous from patients with rhegmatogenous retinal detachment.
Article in International journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- C AN AQUEOUS PROTEOMICS PREDICT THE RECURRENCE OF RHEGMATOGENOUS RETINAL DETACHMENT?Retina (Philadelphia, Pa.) · 2026Article
- Vitreous proteomics in rhegmatogenous retinal detachment and proliferative vitreoretinopathy.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2025Review
- Altered pattern of proteolysis in rhegmatogenous retinal detachment by mining of N-termini datasets from vitreous humor proteome.Scientific reports · 2025Article
- Diurnal rhythm-modulated transcriptome analysis of meibomian gland in hyperlipidemic mice using RNA sequencing.International ophthalmology · 2025Article
- Comparative proteomic analysis of human vitreous in rhegmatogenous retinal detachment and diabetic retinopathy reveals a common pathway and potential therapeutic target.Clinical proteomics · 2024Article
- Integrated 4D label-free proteomics and data mining to elucidate the effects of thermal processing on crisp grass carp protein profiles.Current research in food science · 2024Article
- Proteomic study of vitreous in proliferative diabetic retinopathy patients after treatment with aflibercept: a quantitative analysis based on 4D label-free technique.International journal of ophthalmology · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo identify metabolites, proteins, and related pathways involved in the etiology of rhegmatogenous retinal detachment (RRD) for use as biomarkers in diagnosing and treating RRD.
methodsVitreous specimens were collected and liquid chromatography-tandem mass spectrometry analysis was performed using the four-dimensional label-free technique. Statistically significant differentially expressed proteins, gene ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway representations, and protein interactions were analyzed.
resultsNine specimens were subjected to proteomic analysis. In total, 161 proteins were identified as differentially expressed proteins (DEPs), including 53 upregulated proteins and 108 downregulated proteins. GO functional analysis revealed that some DEPs were enriched in neuron-related terms and membrane protein terms. Moreover, KEGG analysis indicated that the cell adhesion molecule metabolic pathway was associated with the greatest number of DEPs. Finally, the evaluation of protein-protein interaction network revealed that DEPs were clustered in neuronal adhesion, apoptosis, inflammation and immune responses, correct protein folding, and glycolysis.
conclusionProteomic profiling is useful for the exploration of molecular mechanisms that underlie RRD. This study reveals increased expression levels of proteins related to heat shock protein content, glycolysis, and inflammatory responses in RRD. Knowledge regarding biomarkers of RRD pathogenesis may help to prevent the occurrence of RRD in the future.
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