4.6 Article

Transcriptomic profiling of recessive dystrophic epidermolysis bullosa wounded skin highlights drug repurposing opportunities to improve wound healing

期刊

EXPERIMENTAL DERMATOLOGY
卷 31, 期 3, 页码 420-426

出版社

WILEY
DOI: 10.1111/exd.14481

关键词

epidermolysis bullosa; expression analysis; methotrexate; RDEB; reverse transcriptomics

资金

  1. Debra UK
  2. National Institute for Health Research Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London

向作者/读者索取更多资源

This study identified gene expression profiles and pathways in RDEB wounds, identifying potential drugs or compounds to restore wound healing. The findings highlight the clinical value of reverse transcriptomics data analysis in RDEB and the potential of this approach in discovering or repurposing drugs for other diseases.
Chronic wounds present a major disease burden in people with recessive dystrophic epidermolysis bullosa (RDEB), an inherited blistering skin disorder caused by mutations in COL7A1 encoding type VII collagen, the major component of anchoring fibrils at the dermal-epidermal junction. Treatment of RDEB wounds is mostly symptomatic, and there is considerable unmet need in trying to improve and accelerate wound healing. In this study, we defined transcriptomic profiles and gene pathways in RDEB wounds and compared these to intact skin in RDEB and healthy control subjects. We then used a reverse transcriptomics approach to discover drugs or compounds, which might restore RDEB wound profiles towards intact skin. Differential expression analysis identified >2000 differences between RDEB wounds and intact skin, with RDEB wounds displaying aberrant cytokine-cytokine interactions, Toll-like receptor signalling, and JAK-STAT signalling pathways. In-silico prediction for compounds that reverse gene expression signatures highlighted methotrexate as a leading candidate. Overall, this study provides insight into the molecular profiles of RDEB wounds and underscores the possible clinical value of reverse transcriptomics data analysis in RDEB, and the potential of this approach in discovering or repurposing drugs for other diseases.

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