Integrated transcriptomics, proteomics, and metabolomics to uncover inflammatory-metabolic crosstalk and key molecules in a mouse model of hyperoxaluria-induced kidney injury
Year: 2025
Type: article
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: . 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.
Authors: Bangyu Zou, Meng Shu, Chaoyue Lu, Yiying Jia, Shuwei Zhang, Dongxiang Zhang, Zhaoxin Ying, Ziyu Fang, Yonghan Peng, Xiaofeng Gao
Institution: Changhai Hospital
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4416256916