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RBP-AS
BMC Nephrology · 2025 ·Vol. 26 ·期 1 ·1-14 · IF 2.4

Involvement of dysregulated RNA binding protein and alternative splicing regulatory networks in diabetic nephropathy from type 2 albuminuric cohorts

Wang Yu,Zhang Jingjing,Tang Qian

Background Diabetic nephropathy (DN) is a primary contributor to end-stage renal disease, yet the underlying molecular mechanisms remain incompletely understood. This study aims to elucidate the role of RNA-binding proteins (RBPs) and RBP-alternative splicing (AS) regulatory networks in the pathogenesis of DN. Methods Two RNA-seq datasets (GSE117085 and GSE142025) were retrieved from the Sequence Read Archive (SRA) database. Regulated alternative splicing events (RASEs) and genes (RASGs) of RASEs, along with differentiated RBPs, were identified. Validated differentiated RBPs were correlated with clinical features using the Nephroseq v5 online platform. Using the DN mouse model and RT-qPCR, validated the alternative splicing of RNA. Results Our analysis revealed 15 differentiated RBP genes and 423 RASEs in the kidney cortex of DN rats compared to controls. Enrichment analysis highlighted lipid metabolism pathways for RASGs. Seven of the identified RBPs were validated in kidney biopsy samples from DN patients versus controls. A co-deregulatory network was constructed based on dysregulated RBPs and RASEs, with select RASGs identified. In vivo experiments, compared to normal mice, the mRNA levels of RPS19 were significantly elevated in the renal tissues of DN mice, while the levels of CPEB4 and CRYZ were markedly decreased. Conclusion In conclusion, this study provides evidence implicating dysregulated RBPs and RBP-AS regulatory networks in the development of diabetic nephropathy. The validated RBPs exhibited close associations with clinical biomarkers, reinforcing their potential as therapeutic targets for DN. These findings enhance our understanding of the molecular basis of DN and offer new insights for future research and intervention strategies. Clinical trial Not applicable.

CAS / MDL: 18883-66-4
研究领域: 分子生物学 · 基因组学 · 肾脏病学 · 生物信息学 · 发病机制
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