Discovery Potential Hub Genes and Pathways in Keloid Fibroblast Development Based on Bioinformatics Analysis

Area of Science:

• Dermatology
• Molecular Biology
• Bioinformatics

Background:

• Keloids are pathological scars causing pain, itching, and swelling, impacting quality of life.
• Understanding keloid fibroblast proliferation mechanisms is crucial for effective treatment.
• Bioinformatics analysis aids in identifying key molecular players in keloid formation.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) in keloid fibroblasts.
• To elucidate pathways involved in keloid fibroblast proliferation.
• To discover potential therapeutic targets for keloid treatment.

Main Methods:

• Downloaded and analyzed gene expression datasets (GSE145725, GSE158395) from the GEO database.
• Utilized bioinformatics analysis to screen for key genes and pathways.
• Predicted therapeutic targets using the DSigDB database.

Main Results:

• Six key genes were identified: BMP4, SPP1, HIF1α, POSTN, WNT5A, and SMAD3.
• BMP4, POSTN, and WNT5A were significantly associated with keloids.
• Paricalcitol and phosphine emerged as potential therapeutic candidates.

Conclusions:

• BMP4, POSTN, and WNT5A are identified as hub genes closely linked to keloid fibroblast hyperplasia.
• These genes show potential as biomarkers for inhibiting keloid fibroblast hyperplasia.
• Further research is required to fully understand keloid development mechanisms.