Metabolomic and transcriptomic analysis reveals metabolic-immune interactions in choroid neovascularization
- Yihan Zhang 1, Siyi Qi 1, Weiai Shen 1, Ying Guo 1, Yu Liang 1, Qiao Zhuo 1, Hongyu Kong 1, Shujie Zhang 1, Chen Zhao 1
- Yihan Zhang 1, Siyi Qi 1, Weiai Shen 1
- 1Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, China; Key Laboratory of Myopia and Related Eye Diseases, NHC, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai, 200031, China.
- 0Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, China; Key Laboratory of Myopia and Related Eye Diseases, NHC, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai, 200031, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals key immune and metabolic changes in choroidal neovascularization (CNV), a major cause of vision loss. Identifying interactions between immune cells and riboflavin metabolism offers new therapeutic targets for age-related macular degeneration (AMD).
Area Of Science
- Ophthalmology
- Immunology
- Metabolomics
- Transcriptomics
Background
- Choroidal neovascularization (CNV) is a severe form of age-related macular degeneration (AMD) leading to significant vision loss in the elderly.
- The laser-induced CNV model is crucial for studying the mechanisms of this condition.
Purpose Of The Study
- To conduct an integrated metabolomic and transcriptomic analysis of CNV samples.
- To identify key metabolic and immune signatures and their interplay during angiogenesis in CNV.
- To explore potential therapeutic targets for neovascular AMD.
Main Methods
- Integrated analysis of metabolomic and transcriptomic data from CNV samples.
- Utilized single-sample gene set enrichment analysis (ssGSEA), correlation analysis, and weighted gene co-expression network analysis (WGCNA).
- Employed various bioinformatics platforms for comprehensive data interpretation.
Main Results
- Detected dominant infiltration of macrophages and monocytes in CNV samples.
- Characterized a positive correlation between dysregulated riboflavin metabolism and angiogenesis pathways.
- Identified Enpp1 and ACP5 as potential central regulators of immune-metabolic crosstalk in CNV.
Conclusions
- The study classifies the immune and metabolic landscape in CNV models, highlighting critical interactions.
- Enhanced understanding of neovascular AMD pathogenesis.
- Provides a foundation for developing multi-targeted therapies for CNV and other neovascular eye diseases.
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