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Silica-Based Fiber Universal Combat Matrix Reduces Inflammation, Supporting Cellular Migration and Extracellular
Adam M Jorgensen1, Ronald A Nelson1, Darren Hickerson1
1SiOxMed LLC, Winston-Salem, NC 27127, United States.
Military Medicine
|September 23, 2025
Summary
Silica-based fiber (SBF) dressing promotes burn wound healing by enhancing tissue regeneration and reducing inflammation, offering a lightweight solution for military and civilian care.
Area of Science:
- Biomaterials Science
- Regenerative Medicine
- Wound Healing Research
Background:
- Burn injuries pose significant challenges in military and civilian settings, with current treatments often being heavy and unsuitable for prolonged field care.
- Existing medical technologies may be immunogenic and fail to support extended casualty management in austere environments.
- SiOxMed developed a novel silica-based fiber (SBF) universal combat matrix for hemostasis and wound repair.
Purpose of the Study:
- To assess the effects of SBF on immune modulation in a porcine burn model.
- To evaluate SBF's impact on extracellular matrix (ECM) remodeling and cellular proliferation.
- To compare SBF treatment with standard gauze dressings for burn wound healing.
Main Methods:
- Full-thickness burns were induced in Yorkshire pigs.
- Wound beds were treated with SBF matrix or standard gauze 24 hours post-injury.
- Tissue biopsies were analyzed histologically and immunohistochemically over 25 days.
Main Results:
- SBF treatment enhanced rete ridge formation and collagen remodeling compared to controls.
- Reduced inflammatory cell infiltration (CD4, CD8, CD68) was observed in SBF-treated wounds.
- Cellular proliferation (Ki-67) was comparable between SBF and control groups.
Conclusions:
- Silica-based fiber (SBF) treatment improved epidermal regeneration, ECM collagen remodeling, and reduced inflammation.
- SBF provides an optimal scaffold for tissue regeneration, outperforming standard gauze.
- SBF's properties make it suitable for military and civilian applications, especially in prehospital and mass casualty scenarios.

