Decoding the cGAS–STING–eosinophils predictive and natural therapeutic molecular signature in burn injury progression and keloid formation: insights from artificial intelligence-driven multiomics - Takeaways - MDSpire

Decoding the cGAS–STING–eosinophils predictive and natural therapeutic molecular signature in burn injury progression and keloid formation: insights from artificial intelligence-driven multiomics

  • By

  • Jingjing Li

  • Qinghua Yang

  • May 29, 2026

  • 0 min

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  • 1

    The study investigates the cGAS–STING pathway's role in eosinophil regulation during burn injury and keloid formation.

  • 2

    Differentially expressed genes related to the cGAS–STING pathway were identified in burn injury patients using various analytical frameworks.

  • 3

    A machine learning model was developed to identify predictive hub genes associated with keloid formation in burn injury patients.

  • 4

    CCL5 was identified as an up-regulated pathogenic factor and a potential therapeutic target for keloid pathogenesis.

  • 5

    This research presents the first CA-associated gene signature linked to keloid formation in burn injury patients.

Original Source(s)

Decoding the cGAS–STING–eosinophils predictive and natural therapeutic molecular signature in burn injury progression and keloid formation: insights from artificial intelligence-driven multiomics

  • by Jingjing Li, Qinghua Yang

  • May 29, 2026

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