Bioinformatics-based analysis and experimental validation of PANoptosis-related biomarkers and immune infiltration in

Su Zhang1,2, Yun Zhang3, Weitao Hu4

  • 1The Second Clinical College of Fujian Medical University, Quanzhou, China.

Frontiers in Endocrinology
|September 17, 2025
PubMed
Abstract

Insights

Researchers identified AKT3 and FYN as key PANoptosis-related genes (PRGs) in diabetic nephropathy (DN). These genes show diagnostic potential and link to immune infiltration and kidney function markers, offering new insights into DN pathogenesis.

Area of Science:

  • Nephrology
  • Genetics
  • Cell Biology

Background:

  • Diabetic nephropathy (DN) is a severe complication of diabetes, characterized by microvascular damage.
  • PANoptosis, a novel cell death pathway, is implicated in disease, but its role and biomarkers in DN remain unclear.
  • Current diagnostic tools for DN lack effective PANoptosis-related markers.

Purpose of the Study:

  • To investigate the role of PANoptosis-related genes (PRGs) in DN development.
  • To identify potential diagnostic biomarkers for DN among PRGs.
  • To explore the association of PRGs with immune cell infiltration and kidney function in DN.

Main Methods:

  • Utilized the GEO dataset GSE30122 for DN analysis.
  • Applied differential gene expression (DEG) analysis and Weighted Gene Co-expression Network Analysis (WGCNA).
  • Screened key differentially expressed PRGs (DNDE-PRGs) using four algorithms and validated findings in clinical samples and db/db mice.

Main Results:

  • Identified AKT3 and FYN as two key DNDE-PRGs in DN.
  • These genes demonstrated significant diagnostic value for DN.
  • AKT3 and FYN correlated with immune cell infiltration, glomerular filtration rate (GFR), and blood urea nitrogen (BUN).

Conclusions:

  • AKT3 and FYN emerge as promising PANoptosis-related biomarkers for diabetic nephropathy.
  • These findings offer novel perspectives into the underlying mechanisms of DN.
  • Further research into AKT3 and FYN could lead to improved diagnostic strategies for DN.