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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Transcriptomic meta-analysis identifies core molecular pathways in plaque psoriasis.

Teresa Torres-Moral1,2, Josep Riera-Monroig2,3, Gemma Tell-Martí1

  • 1Center for Biomedical Network Research on Rare Diseases (CIBERER), Carlos III Health Institute, Barcelona, Spain.

Journal of the European Academy of Dermatology and Venereology : JEADV
|April 28, 2026
PubMed
Summary
This summary is machine-generated.

This study integrates psoriasis gene expression data to reveal consistent immune patterns. It highlights new potential pathways in metabolism and mitochondrial function for future research.

Keywords:
biomarkersfunctional profilingmeta‐analysisplaque psoriasistranscriptomics

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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Area of Science:

  • Immunology
  • Dermatology
  • Genomics
  • Systems Biology

Background:

  • Psoriasis is an immune-mediated inflammatory skin disease.
  • Dysregulated immune cell and skin cell (keratinocytes, fibroblasts) interactions drive psoriasis.
  • Existing transcriptomic data for psoriasis is heterogeneous and lacks integration.

Purpose of the Study:

  • To integrate transcriptomic data from multiple independent studies on plaque psoriasis.
  • To identify reproducible immune-gene expression patterns in psoriatic skin.
  • To discover novel, hypothesis-generating pathways beyond known immune responses.

Main Methods:

  • Systematic review and meta-analysis of 44 transcriptomic datasets (975 samples).
  • Focus on a curated set of immune-related genes comparing lesional psoriatic skin to non-lesional and healthy skin.
  • Harmonization of data, random-effects modeling for differential expression, and functional enrichment analysis (Reactome, KEGG, GO).

Main Results:

  • Identified 1780 consistently dysregulated immune-related genes in lesional psoriasis.
  • Confirmed known immune pathways (e.g., IL-23/Th17, cytokine responses, type I interferon).
  • Discovered 661 psoriasis-associated genes not previously highlighted, suggesting roles in glucose metabolism, FoxO signaling, and mitophagy.

Conclusions:

  • Refined consensus immune signatures in psoriasis by integrating extensive transcriptomic data.
  • Prioritized metabolic and mitochondrial processes as novel, testable hypotheses for psoriasis research.
  • Suggests a link between immune activation, cellular energy metabolism, and mitochondrial quality control in psoriatic skin.