Vascular endothelial growth factor A (VEGFA) plays an important role in the healing of skin wound. However, the application of VEGFA protein in clinic is limited because of its high cost manufacturing, complicated purification and poor pharmacokinetic profile. Herein, we developed nucleoside-modified mRNA encoding VEGFA encapsulated ionizable lipid nanoparticles (LNP) to improve angiogenesis and increase wound healing rate. First, VEGFA mRNA was synthesized by an in vitro transcription (IVT) method. After that, VEGFA mRNA-LNP was prepared by encapsulating mRNA in ionizable lipid based nanoparticles via a microfluidic mixer. The physicochemical properties of VEGFA mRNA-LNP were investigated via dynamic light scattering (DLS) and transmission electron microscopy (TEM). The results showed that the VEGFA mRNA-LNP possessed regular spherical morphology with an average size of 112.67 nm and a negative Zeta potential of -3.43 mV. The LNP delivery system had excellent lysosome escape capability and high transfection efficiency. ELISA and Western Blot analysis indicated that the mRNA-LNP could express VEGFA protein in Human umbilical vein endothelial cells (HUVECs). Besides, endothelial tube formation, cell proliferation and scratch assays were performed. The results revealed VEGFA mRNA-LNP boosted angiogenesis, cell proliferation and cell migration by expressing VEGFA protein. Finally, C57BL/6 mouse model of skin wound was established and intradermally treated with VEGFA mRNA-LNP. The VEGFA mRNA-LNP treated wounds were almost healed with an average wound size of 1.56 mmcompared with the blank of 18.66 mmafter 9 days. The results indicated that the VEGFA mRNA-LNP was able to significantly expedite wound healing. Histological analysis further demonstrated tissue epithelialization, collagen deposition and enhancement of vascular density after treatment. Taken together, VEGFA mRNA-LNP can be uptaken by cells to express protein effectively and promote wound healing, which may provide a promising strategy for clinical remedy. 2 2
