Combinatorial chemistry & high throughput screening · 2026
Identification of the Role of Necroptosis-Related Genes in the Oxidative Damage of Lens Epithelial Cells and Validation in Ultraviolet B-induced Cataract in Rats.
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Liang Yongshun, Gan Qingqiao, Zhong Xin, Lan Tian, Yang Yingqin, Liang Hao
Аннотация
INTRODUCTION: The specific role of necroptosis in the pathogenesis of cataracts remains unclear. This study aimed to identify and validate the genes related to necroptosis in the development of cataracts through bioinformatics analysis.
METHOD: We utilized RNA sequencing data (GSE161701) from the Gene Expression Omnibus (GEO) database and employed R software to perform differential expression analysis of necroptosis- related genes (NRGs) in lens epithelial cells (LECs) under oxidative stress. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to evaluate the functions of necroptosis-related differentially expressed genes (NRDEGs) and their associated pathways. Additionally, a diagnostic model was established using LASSO regression to select hub genes, and protein-protein interaction (PPI) networks, mRNA-miRNA, and mRNAdrug regulatory networks were constructed. Immune infiltration analysis was performed using the xCell and CIBERSORT algorithms, and the differential expression of hub genes was validated in a UVB-induced rat cataract model using RT-qPCR and immunohistochemistry.
RESULTS: The results indicated that oxidative stress promoted necroptosis in LECs, involving 86 NRDEGs and nine hub genes. GO and KEGG analyses revealed significant enrichment in necroptosis- associated pathways. Furthermore, we identified 58 mRNA-miRNA interactions and 131 potential molecular compounds or drugs. The immune infiltration analysis showed that certain immune cells exhibited significantly elevated expression in the cataract group, with notable correlations between some immune cells and hub genes. RT-qPCR and immunohistochemistry confirmed the expression of 9 hub genes and 3 key necroptosis genes. BAX, CXCL1, EPAS1, JUN, LRP1, RBM14, SERTAD1, and TNFAIP3 were highlighted as potential diagnostic and therapeutic targets.
CONCLUSION: This study identified key NRDEGs involved in the pathogenesis of cataracts under oxidative stress through bioinformatics analyses, potentially providing new targets and research directions for future cataract prevention and treatment.
METHOD: We utilized RNA sequencing data (GSE161701) from the Gene Expression Omnibus (GEO) database and employed R software to perform differential expression analysis of necroptosis- related genes (NRGs) in lens epithelial cells (LECs) under oxidative stress. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to evaluate the functions of necroptosis-related differentially expressed genes (NRDEGs) and their associated pathways. Additionally, a diagnostic model was established using LASSO regression to select hub genes, and protein-protein interaction (PPI) networks, mRNA-miRNA, and mRNAdrug regulatory networks were constructed. Immune infiltration analysis was performed using the xCell and CIBERSORT algorithms, and the differential expression of hub genes was validated in a UVB-induced rat cataract model using RT-qPCR and immunohistochemistry.
RESULTS: The results indicated that oxidative stress promoted necroptosis in LECs, involving 86 NRDEGs and nine hub genes. GO and KEGG analyses revealed significant enrichment in necroptosis- associated pathways. Furthermore, we identified 58 mRNA-miRNA interactions and 131 potential molecular compounds or drugs. The immune infiltration analysis showed that certain immune cells exhibited significantly elevated expression in the cataract group, with notable correlations between some immune cells and hub genes. RT-qPCR and immunohistochemistry confirmed the expression of 9 hub genes and 3 key necroptosis genes. BAX, CXCL1, EPAS1, JUN, LRP1, RBM14, SERTAD1, and TNFAIP3 were highlighted as potential diagnostic and therapeutic targets.
CONCLUSION: This study identified key NRDEGs involved in the pathogenesis of cataracts under oxidative stress through bioinformatics analyses, potentially providing new targets and research directions for future cataract prevention and treatment.