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Updated: Aug 3, 2026

Characterization of a Novel Human Organotypic Retinal Culture Technique
Published on: June 9, 2021
Multi-omics analysis of potential metabolic networks linking peripheral metabolic changes to inflammatory retinal
Xiaonan Zhang1,2,3, Yan Liu1,2,3, Mengxue Xia1,3,4
1National Clinical Research Center for Eye disease, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Background:
Diabetic retinopathy (DR), a leading cause of blindness among working-age adults, lacks targeted therapies besides glucose management. Early retinal lesions are linked to serum metabolites, but the underlying peripheral regulatory networks is unclear.
Methods:
We first established a streptozotocin (STZ)-induced mouse model of early DR exhibiting retinal inflammation characteristics. This study employed an integrative approach, combining retinal and serum transcriptomic and metabolomic profiles with genome-wide association study (GWAS) data, to identify peripheral metabolites potentially linking early retinal lesions.
Results:
STZ-induced mice exhibited retinal inflammation and metabolic dysregulation. Metabolites including glucose, sorbitol, and mannitol were altered in both serum and retina, implicating their potential involvement in retinal inflammation. Utilizing GWAS data of diabetic patients, we further explore the potential the upstream regulation of shared metabolites and their peripheral pathways potentially instigating early retinal inflammation through metabolite-related genes correlated with single nucleotide polymorphisms. Key enzyme genes including HK1, HKDC1, AKR1B1 in hyperglycemic pathway, CEL and HMGCR in cholesterol pathway, and ACSL1, PPT2 in palmitic acid pathway, may connect the metabolic network of hyperglycemia, hyperfructosemia and disrupted lipid metabolism to retinopathy.
Conclusion:
This study elucidates the upstream regulatory network of peripheral serum metabolites associated with early retinal lesions. Specifically, the SNPs in key peripheral enzyme genes may exert remote effects on retinal inflammation in DR. This finding provides insights into the systemic metabolic management and offering peripheral precise early detection and treatment.
Insights
Diabetic retinopathy (DR) involves retinal inflammation linked to serum metabolites. Genetic variations in key metabolic enzymes may remotely influence DR, suggesting new avenues for systemic metabolic management and early detection.
Area of Science:
- Ophthalmology
- Metabolomics
- Genetics
Background:
- Diabetic retinopathy (DR) is a major cause of blindness.
- Current treatments focus on glucose control, lacking targeted therapies for early lesions.
- The peripheral metabolic networks influencing early DR remain unclear.
Purpose of the Study:
- To investigate the upstream regulatory network of peripheral serum metabolites associated with early retinal lesions in diabetic retinopathy.
- To identify potential peripheral biomarkers and therapeutic targets for DR.
Main Methods:
- Established a streptozotocin (STZ)-induced mouse model of early DR.
- Integrated retinal and serum transcriptomic and metabolomic data with genome-wide association study (GWAS) data.
- Analyzed alterations in key metabolic pathways and identified correlations between gene polymorphisms and metabolites.
Main Results:
- STZ-induced mice showed retinal inflammation and metabolic dysregulation, with altered glucose, sorbitol, and mannitol levels.
- GWAS data revealed that single nucleotide polymorphisms (SNPs) in key enzyme genes (e.g., HK1, AKR1B1, CEL, HMGCR, ACSL1) may link peripheral metabolic changes to retinal inflammation.
- Identified potential connections between hyperglycemia, hyperfructosemia, disrupted lipid metabolism, and retinopathy.
Conclusions:
- Elucidated the upstream regulatory network of peripheral metabolites in early DR.
- Demonstrated that SNPs in peripheral enzyme genes may remotely affect retinal inflammation in DR.
- Findings support systemic metabolic management and precise peripheral early detection and treatment strategies for DR.
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