ArticleTranslational andrology and urology2025
Integrated transcriptomics, proteomics, and metabolomics to uncover inflammatory-metabolic crosstalk and key molecules in a mouse model of hyperoxaluria-induced kidney injury.
Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Multi-omics insights into uric acid metabolism in cardiometabolic disease: from genetics to metabolomics.Biomedical journal · 2026Review
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Authors and funding
10 authors.
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Abstract
Background: Hyperoxaluria, including primary and secondary hyperoxaluria, induces renal tubular damage, interstitial inflammation. This study aimed to elucidate the molecular mechanisms underlying hyperoxaluria-induced kidney injury by integrating multi-omics analyses in a glyoxylate-induced mouse model, focusing on transcriptomic, proteomic, and metabolomic alterations. Methods: Male C57BL/6J mice were divided into control and glyoxylate-treated groups. Kidney tissues were analyzed using transcriptomics, proteomics, and untargeted metabolomics. Histopathology, biochemical assays, and quantitative real-time polymerase chain reaction (qRT-PCR) validation were performed to confirm model establishment and molecular findings. Results: Glyoxylate administration induced calcium oxalate (CaOx) crystal deposition, tubular injury, and elevated serum blood urea nitrogen (BUN) and creatinine (CRE) levels. Transcriptomics revealed 5,099 differentially expressed genes (DEGs), with upregulated inflammatory pathways and downregulated metabolic processes. Proteomics identified 2,966 differentially expressed proteins (DEPs), showing downregulation of fatty acid metabolism pathways and suppressed peroxisomal functions. Metabolomics identified 255 differentially expressed metabolites (DEMs), highlighting disruptions in lipid and amino acid metabolism. Integrative analysis uncovered key gene-metabolite networks. qRT-PCR validated DEGs, including Conclusions: This multi-omics study uncovers interconnected gene, protein, and metabolic changes, highlighting the interplay between inflammation, energy metabolism, and tubular injury in hyperoxaluria-induced kidney injury, and provides novel molecular insights for diagnostic and therapeutic targets.
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