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September 10, 2025International Journal of Molecular SciencesOpen Access

Identification of Differentially Expressed Genes and Pathways in Non-Diabetic CKD and Diabetic CKD by Integrated Human Transcriptomic Bioinformatics Analysis

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Authors

CBClara BarriosMRMarta RieraEREva Rodríguez

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Overview

Bioinformatics analysis uncovers differing pathways in CKD_T2D and CKD_nonT2D, suggesting unique targets for therapy.

Key Points

  • Diabetic CKD displays greater transcriptional changes compared to non-diabetic CKD, indicating distinct mechanisms.
  • Key DEGs identified include Tgfb1, Timp1, Cxcl6, and C1qa/B, with implications for fibrosis and inflammation in diabetic samples.
  • Gene Set Enrichment Analysis revealed immune pathway enrichment in glomeruli and metabolic pathways in tubulointerstitium.
  • Differential expression analysis highlights the importance of tailored therapeutic approaches targeting CKD subtypes.

Cite This Study

Barrios et al. (2025) studied this question.

synapsesocial.com/papers/68c241acb210217d6479fd88https://doi.org/10.3390/ijms26157421
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