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September 5, 2025Frontiers in Cell and Developmental BiologyOpen Access

Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning

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Authors

SHShan HeYCYi‐Wei ChenJYJian Ye

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Overview

Comprehensive analysis highlights metabolic reprogramming's role in diabetic nephropathy, suggesting immune involvement.

Key Points

  • 256 metabolic reprogramming related differentially expressed genes were identified, linking metabolic pathways to diabetic nephropathy.
  • Key analysis employed techniques like gene ontology and KEGG, confirming gene interactions linked to the MAPK signaling pathway.
  • Machine learning algorithms alongside weighted gene co-expression network analysis pinpointed six key genes with diagnostic potential.
  • The analysis revealed a significant association between identified genes and immune cell infiltration in diabetic nephropathy.

Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/68c23922b210217d6477ab64https://doi.org/10.3389/fcell.2025.1630708
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