Integrated bioinformatic identification and translational validation of key biomarkers and therapeutic candidates for preeclampsia-related acute kidney injury.

ABSTRACT:

Objective

This study aimed to identify and validate key biomarkers for PE-AKI and to explore potential therapeutic candidates through an integrated bioinformatic and experimental approach.

Methods

Data was obtained from transcriptome sequencing of 12 mouse tissue samples and 8 human cell samples. Differential expression analysis identified differentially expressed genes (DEGs) in mouse and human PE kidney injury. The intersection of DEGs was used to identify candidate genes. Key genes were further identified through protein-protein interaction (PPI) networks, followed by subcellular localization, functional enrichment, molecular regulatory network construction, drug prediction, and molecular docking. The expression of key genes was validated in LPS-induced PE mouse models an

SUBMITTER: Gao L 

PROVIDER: S-EPMC12783195 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature