ArticleFrontiers in immunology2023
Identification of key genes modules linking diabetic retinopathy and circadian rhythm.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Potential circadian rhythm-related pathogenic genes in diabetic nephropathy: a multi-omics Mendelian randomization study.Renal failure · 2026Article
- Bmal1 overexpression in suprachiasmatic nucleus protects from retinal neurovascular deficits in a mouse model of diabetes.Diabetologia · 2026Article
- Diabetes and its complications: molecular mechanisms, prevention and treatment.Signal transduction and targeted therapy · 2026Review
- Proteins at the intersection of circadian rhythms and metabolic dysfunction-associated steatotic liver disease: an 18-protein panel as a novel predictive biomarker set.Frontiers in endocrinology · 2026Article
- Article
- Associations between sleep patterns and diabetic retinopathy: insights from cross-sectional and longitudinal evidence.Eye (London, England) · 2025Article
- Muscle Fibers, Free Amino Acids, and Enhanced Mitochondrial Function Explain the Unique Meat Quality of Tibetan Pigs.Foods (Basel, Switzerland) · 2025Article
- Molecular pathogenesis of Alzheimer's disease onset in a mouse model: effects of cannabidiol treatment.Frontiers in neuroscience · 2025Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Recent studies highlighted the crucial impact of circadian rhythms (CR) on normal retinopathy in response to the external light cues. However, the role of circadian rhythms in DR pathogenesis and potential investigational drugs remains unclear. Methods: To investigate the weather CR affects DR, differential expression analysis was employed to identify differentially expressed genes (DEGs) from the GEO database (GSE160306). Functional enrichment analysis was conducted to identify relevant signaling pathways. LASSO regression was utilized to screen pivotal genes. Weighted gene co-expression network anlaysis (WGCNA) was applied to identify different modules. Additionally, we use the Comparative Toxicogenomics Database (CTD) database to search key genes related to drugs or molecular compounds. The diabetic mouse model received three consecutive intraperitoneal injections of streptozotocin (STZ) during 3 successive days. Results: We initially identified six key genes associated with circadian rhythm in DR, including Conclusion: Our findings revealed several key genes related to circadian rhythms and several relevant drugs in DR, providing a novel insight into the mechanism of DR and potential implications for future DR treatment. This study contributes to a better understanding of CR in DR and its implications for future therapeutic interventions.
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