[Detection of molecular affecting sensitivity to local glucocorticoid therapy in oral lichen planus through

Xiaomeng Ren1, Kaiyi Li1, Chunlei Li1

  • 1Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.

Abstract

Insights

Gene expression profiles predict oral lichen planus response to dexamethasone. High expression of CLDN8, CTNNA3, MYL2, and MYLPF indicates good response, while inflammation pathway genes suggest poor outcomes.

Area of Science:

  • Genomics and Molecular Biology
  • Dermatology and Oral Medicine
  • Pharmacogenomics

Context:

  • Oral lichen planus (OLP) is a chronic inflammatory condition affecting oral mucosa.
  • Topical glucocorticoids, like dexamethasone, are standard treatments for OLP.
  • Predicting treatment response is crucial for optimizing patient care.

Purpose:

  • To identify key genes associated with the therapeutic efficacy of topical dexamethasone in OLP patients using transcriptome sequencing.
  • To correlate gene expression patterns with clinical outcomes of dexamethasone treatment.

Summary:

  • Transcriptome sequencing was performed on 28 OLP patients before treatment with topical dexamethasone.
  • Patients were categorized into effective and ineffective groups based on clinical response.
  • Differentially expressed genes (DEGs) were identified, with upregulated genes (e.g., CLDN8, CTNNA3, MYL2, MYLPF) linked to leukocyte migration and downregulated genes associated with inflammatory pathways (TNF, IL-17, NF-κB) and cortisol synthesis.

Impact:

  • Identifies specific genes (CLDN8, CTNNA3, MYL2, MYLPF) associated with positive dexamethasone response in OLP.
  • Highlights the role of inflammatory pathways (TNF, IL-17, NF-κB) in predicting poor treatment outcomes.
  • Provides a molecular basis for personalized treatment strategies in OLP management.

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