Soema Peter C, Willems Geert-Jan, Jiskoot Wim, Amorij Jean-Pierre, Kersten Gideon F
Intravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.
Intravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.
Eur J Pharm Biopharm. 2015 Aug;94:427-35. doi: 10.1016/j.ejpb.2015.06.026. Epub 2015 Jul 2.
In this study, the effect of liposomal lipid composition on the physicochemical characteristics and adjuvanticity of liposomes was investigated. Using a design of experiments (DoE) approach, peptide-containing liposomes containing various lipids (EPC, DOPE, DOTAP and DC-Chol) and peptide concentrations were formulated. Liposome size and zeta potential were determined for each formulation. Moreover, the adjuvanticity of the liposomes was assessed in an in vitro dendritic cell (DC) model, by quantifying the expression of DC maturation markers CD40, CD80, CD83 and CD86. The acquired data of these liposome characteristics were successfully fitted with regression models, and response contour plots were generated for each response factor. These models were applied to predict a lipid composition that resulted in a liposome with a target zeta potential. Subsequently, the expression of the DC maturation factors for this lipid composition was predicted and tested in vitro; the acquired maturation responses corresponded well with the predicted ones. These results show that a DoE approach can be used to screen various lipids and lipid compositions, and to predict their impact on liposome size, charge and adjuvanticity. Using such an approach may accelerate the formulation development of liposomal vaccine adjuvants.
在本研究中,研究了脂质体脂质组成对脂质体物理化学特性和佐剂性的影响。采用实验设计(DoE)方法,制备了含有各种脂质(EPC、DOPE、DOTAP和DC-Chol)和肽浓度的含肽脂质体。测定了每种制剂的脂质体大小和zeta电位。此外,通过量化树突状细胞(DC)成熟标志物CD40、CD80、CD83和CD86的表达,在体外DC模型中评估了脂质体的佐剂性。这些脂质体特性的获取数据成功地与回归模型拟合,并为每个响应因子生成了响应等高线图。这些模型被应用于预测导致脂质体具有目标zeta电位的脂质组成。随后,预测并在体外测试了该脂质组成的DC成熟因子的表达;获得的成熟反应与预测结果吻合良好。这些结果表明,DoE方法可用于筛选各种脂质和脂质组成,并预测它们对脂质体大小、电荷和佐剂性的影响。使用这种方法可能会加速脂质体疫苗佐剂的制剂开发。
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