Diagnostic PANoptosis-related genes in acute kidney injury: bioinformatics, machine learning, and validation.

ABSTRACT:

Background

Acute kidney injury (AKI) is a prevalent and life-threatening condition characterized by abrupt renal function decline and subsequent inflammatory cascades. PANoptosis has emerged as a significant contributor to the pathophysiology of AKI. This research aimed to explore the diagnostic and therapeutic implications of PANoptosis-related genes in AKI.

Methods

Kidney biopsy transcriptomic expression data were obtained from the GEO database. Differentially expressed genes (DEGs) associated with PANoptosis were identified between AKI and controls. WGCNA identified hub PANoptosis-related genes. PANoptosis scores and immune cell infiltration were calculated by ssGSEA. Machine learning algorithms was used to select feature genes. ROC analysis evaluated their diagnostic per

SUBMITTER: Chen Z 

PROVIDER: S-EPMC12406322 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature