Department of Ophthalmology, Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400010, China.
Chongqing Key Laboratory of Ultrasound Molecular Imaging, Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400010, China.
Comput Intell Neurosci. 2022 Jul 31;2022:1169438. doi: 10.1155/2022/1169438. eCollection 2022.
Aiming at the disadvantages of easy recurrence of keratitis, difficult eradication by surgery, and easy bacterial resistance, insulin-loaded liposomes were prepared, and convolutional neural network was used as a statistical algorithm to build SD rat corneal inflammation model and study insulin-loaded liposomes, alleviating effect on corneal inflammatory structure in SD rats. The INS/PFOB@LIP was developed by means of thin-film dispersive phacoemulsification, its structure was monitored using a transmission electron microscope, particle size and appearance potential were monitored using a Malvern particle sizer, and ultraviolet consumption spectrum was monitored using a UV spectrophotometer. The encapsulation rate, drug loading, and distribution of insulin liposomes in rat corneal inflammatory model were measured and calculated. The cytotoxicity of liposome materials was evaluated by CCK-8 assay, and the toxic effects of insulin and insulin liposomes on cells were detected. The cornea of SD rats was burned with NaOH solution (1 mol/L), and the SD rat corneal inflammation model was created. The insulin liposome was applied to the corneal inflammation model, and the therapeutic effect of insulin liposome on corneal inflammation was evaluated by slit lamp, corneal immunohistochemistry, corneal HE staining, and corneal Sirius red staining. Insulin-loaded liposomes were successfully constructed with an average particle size of (130.69 ± 3.87) nm and a surface potential of (-38.24 ± 2.57) mV. The encapsulation rate of insulin liposomes was (48.89 ± 1.24)%, and the drug loading rate was (24.45 ± 1.24)%. The SD rat corneal inflammation model was successfully established. After insulin liposome treatment, the staining area of corneal fluorescein sodium was significantly reduced, the corneal epithelium was significantly thickened, the content of corneal collagen was increased, the expression of inflammatory factors was significantly reduced, and new blood vessels (corneal neovascularization, CNV) growth was inhibited.
针对角膜炎易复发、手术难以根治、易产生细菌耐药性等缺点，制备了载胰岛素脂质体，并采用卷积神经网络作为统计算法，构建 SD 大鼠角膜炎症模型，研究载胰岛素脂质体对 SD 大鼠角膜炎症结构的缓解作用。采用薄膜分散相乳化法制备 INS/PFOB@LIP，透射电镜观察其结构，马尔文粒度仪监测其粒径和外观电位，紫外分光光度计监测其紫外吸收光谱。测量并计算胰岛素脂质体在大鼠角膜炎症模型中的包封率、载药量和分布。采用 CCK-8 法评价脂质体材料的细胞毒性，检测胰岛素和胰岛素脂质体对细胞的毒性作用。用 1mol/LNaOH 溶液灼烧 SD 大鼠角膜，建立 SD 大鼠角膜炎症模型。将胰岛素脂质体应用于角膜炎症模型，通过裂隙灯、角膜免疫组织化学、角膜 HE 染色和角膜天狼猩红染色评价胰岛素脂质体对角膜炎症的治疗效果。成功构建平均粒径为（130.69±3.87）nm、表面电位为（-38.24±2.57）mV 的载胰岛素脂质体。胰岛素脂质体的包封率为（48.89±1.24）%，载药量为（24.45±1.24）%。成功建立了 SD 大鼠角膜炎症模型。胰岛素脂质体治疗后，角膜荧光素钠染色面积明显减少，角膜上皮明显增厚，角膜胶原含量增加，炎症因子表达明显减少，抑制新生血管（角膜新生血管，CNV）生长。
