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Updated: Jun 20, 2025

Isolation, Culture, and Characterization of Primary Dermal Fibroblasts from Human Keloid Tissue
04:41

Isolation, Culture, and Characterization of Primary Dermal Fibroblasts from Human Keloid Tissue

Published on: July 28, 2023

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Identification of potential therapeutic target SPP1 and related RNA regulatory pathway in keloid based on

Ruxin Xie1, Jiao Yun1, Chenyu Li1

  • 1Department of Burn and Plastic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Annals of Medicine
|July 23, 2024
PubMed
Abstract

Insights

This study identified SPP1 as a potential biomarker for keloid. The NEAT1/miR-181a-5p/SPP1 pathway may regulate keloid formation, offering new therapeutic targets for this condition.

Area of Science:

  • Dermatology and Molecular Biology
  • Bioinformatics and Genomics

Background:

  • Keloid recurrence rates remain high with conventional treatments.
  • Understanding keloid pathogenesis requires novel biomarker and mechanism identification.

Purpose of the Study:

  • To identify novel biomarkers and molecular mechanisms underlying keloid progression using bioinformatics.
  • To explore potential therapeutic targets for keloid treatment.

Main Methods:

  • Downloaded and analyzed microarray datasets from the GEO database for keloid.
  • Utilized R software to identify differentially expressed genes (DEGs).
  • Employed bioinformatics tools to identify hub genes, predict upstream miRNAs and lncRNAs, and validated findings with RNA-sequencing and miRNA microarray.

Main Results:

  • Identified 31 DEGs, with SPP1 identified as a key upregulated hub gene.
  • Constructed a ceRNA network involving SPP1 (mRNA), miR-181a-5p (miRNA), and multiple lncRNAs (NEAT1, MALAT1, etc.).
  • Confirmed upregulation of miR-181a-5p and identified NEAT1 as a potential regulator of keloid progression.

Conclusions:

  • SPP1 is a potential candidate biomarker and therapeutic target for keloid.
  • The NEAT1/miR-181a-5p/SPP1 axis represents a potential RNA regulatory pathway in keloid formation.
  • Findings provide insights into keloid pathogenesis and suggest avenues for future therapeutic strategies.
Keywords:
Keloidbioinformatics analysisbiomarkerceRNAtherapeutic target

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