Introduction: Healing full-thickness wounds is often challenging and time-consuming, with complications such as scarring and infections. The standard treatment, split skin grafting, has limitations due to the availability of healthy donors and suitability for immunocompromised patients. Method: Autologous platelet lysate (PL) has been popular for tissue regenerative potential because it contains growth factors (GF) and is a safer option for bedridden patients with weak immune systems. However, PL has inconsistent clinical efficacy, high costs, and a short half-life. To address these issues, this study explores a novel delivery system by fabricating a chitosan/nanocrystalline cellulose (CS/NCC) hydrogel to sustainably deliver autologous PL to the wound site. Notably, NCC was prepared from kenaf bast fibers using acid hydrolysis and integrated into the CS matrix through physical entrapment without any chemical crosslinkers. The composite hydrogel was then enriched with autologous PL and further characterized for its physicochemical properties, in vitro GF release, and compatibility with skin cells. At the molecular level, gene expression of wound healing genes was facilitated using qPCR, revealing that the PL-supplemented hydrogel upregulated the expression of extracellular matrix genes. An in vivo study using a full-thickness wound model demonstrated that the CS-NCC-PL hydrogel dressing achieved 81.8% wound closure within 14 days, compared to the control groups. Result: Histological analysis indicated enhanced re-epithelialization, angiogenesis, and collagen deposition. Particularly, the CS-NCC-PL hydrogel group showed a significantly higher hydroxyproline content (60.62 ± 11.46 μg/100 mg) by day 14. Immunohistochemistry results revealed elevated levels of α-SMA and CD31, markers of myofibroblast presence and angiogenesis, peaking at day 7. Conclusion: These findings suggest that the CS-NCC-PL hydrogel is a promising personalized wound dressing for bedridden patients, offering improved healing outcomes in hospital settings.
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