Identifying Therapeutic Targets and Potential Drugs for Diabetic Retinopathy: Focus on Oxidative Stress and Immune Infiltration DOI Creative Commons
Hongsong Peng, Qiang Hu, Xue Zhang

et al.

Journal of Inflammation Research, Journal Year: 2025, Volume and Issue: Volume 18, P. 2205 - 2227

Published: Feb. 1, 2025

Diabetic retinopathy (DR), a microvascular disorder linked to diabetes, is on the rise globally. Oxidative stress and immune cell infiltration are illness initiation progression, according recent study. This study investigated biomarkers connected DR oxidative their connection with using bioinformatics analysis found possible therapeutic medications. The Gene Expression Omnibus (GEO) database was used obtain gene expression data for DR. Differentially expressed genes (DEGs) (OS)-related were intersected. Enrichment analyses concentrate OS-related differentially (DEOSGs). Analysis of protein-protein interaction (PPI) networks machine learning algorithms identify hub genes. Single-gene Set (GSEA) identified biological functions, while nomograms ROC curves assessed diagnostic potential. Immune regulatory constructed. Drug prediction validated through molecular docking, confirmed in dataset animal models. Compared control group, 91 DEOSGs found. showed that these largely response, PI3K/Akt pathway, inflammatory pathways, immunological activation. Four via PPI learning. These diagnostically promising nomogram analysis. highlighted role cells. transcription factor (TF) miRNA created. Using structural data, docking shows potential drugs have high binding affinity. Dataset analysis, Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) Western Blot (WB) CCL4 difference between controls. as stress-related biomarker DR, providing new insights diagnosis treatment.

Language: Английский

Identifying Therapeutic Targets and Potential Drugs for Diabetic Retinopathy: Focus on Oxidative Stress and Immune Infiltration DOI Creative Commons
Hongsong Peng, Qiang Hu, Xue Zhang

et al.

Journal of Inflammation Research, Journal Year: 2025, Volume and Issue: Volume 18, P. 2205 - 2227

Published: Feb. 1, 2025

Diabetic retinopathy (DR), a microvascular disorder linked to diabetes, is on the rise globally. Oxidative stress and immune cell infiltration are illness initiation progression, according recent study. This study investigated biomarkers connected DR oxidative their connection with using bioinformatics analysis found possible therapeutic medications. The Gene Expression Omnibus (GEO) database was used obtain gene expression data for DR. Differentially expressed genes (DEGs) (OS)-related were intersected. Enrichment analyses concentrate OS-related differentially (DEOSGs). Analysis of protein-protein interaction (PPI) networks machine learning algorithms identify hub genes. Single-gene Set (GSEA) identified biological functions, while nomograms ROC curves assessed diagnostic potential. Immune regulatory constructed. Drug prediction validated through molecular docking, confirmed in dataset animal models. Compared control group, 91 DEOSGs found. showed that these largely response, PI3K/Akt pathway, inflammatory pathways, immunological activation. Four via PPI learning. These diagnostically promising nomogram analysis. highlighted role cells. transcription factor (TF) miRNA created. Using structural data, docking shows potential drugs have high binding affinity. Dataset analysis, Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) Western Blot (WB) CCL4 difference between controls. as stress-related biomarker DR, providing new insights diagnosis treatment.

Language: Английский

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