Drug Transport and Delivery Research Group, Department of Pharmacy, UiT The Arctic University of Norway, Universitetsveien 57, 9037 Tromsø, Norway.
Physiological Pharmaceutics, Department of Pharmacy, University of Copenhagen, Universitetsparken 2-4, 2100 Copenhagen, Denmark.
Int J Pharm. 2021 Mar 1;596:120258. doi: 10.1016/j.ijpharm.2021.120258. Epub 2021 Jan 21.
The prediction of the in vivo performance of self-nanoemulsifying drug delivery systems (SNEDDSs) is currently gaining increasing attention. Therefore, the need for reliable in vitro models able to assess the drug solubilization capacity of such formulations upon in vitro lipolysis, as well as to concomitantly evaluate in vitro drug permeation, has become ever so evident. In the current study, the high-throughput in vitro intestinal lipolysis model was combined with the mucus-PVPA in vitro permeation model to study the solubilization capacity of SNEDDSs for the poorly water-soluble drug fenofibrate and to study the consequent drug permeation. Moreover, drug solubilization and permeation were evaluated both in the presence and absence of lipolysis. The results obtained demonstrated that the presence of in vitro lipolysis significantly impacted the solubilization and permeation profiles of fenofibrate compared to its absence. The results were in accordance with already published in vivo data regarding the same fenofibrate-loaded SNEDDSs. Additionally, the correlation between the in vitro permeation data and in vivo plasma concentration in rats was found to be excellent both in the presence and absence of lipolysis (R > 0.98), highlighting the ability of the developed combined in vitro model to predict in vivo drug absorption.
目前,人们越来越关注自微乳药物传递系统(SNEDDSs)体内性能的预测。因此,人们迫切需要可靠的体外模型,该模型能够评估此类制剂在体外脂肪酶作用下的药物增溶能力,同时评估体外药物渗透。在本研究中,高通量体外肠内脂肪酶解模型与粘蛋白-PVPA 体外渗透模型相结合,研究了 SNEDDSs 对难溶性药物非诺贝特的增溶能力,并研究了随后的药物渗透。此外,在有或没有脂肪酶解的情况下,评估了药物的增溶和渗透。与不存在脂肪酶解相比,获得的结果表明,体外脂肪酶解的存在显著影响了非诺贝特的增溶和渗透特征。这些结果与相同的载有非诺贝特的 SNEDDSs 的已发表的体内数据一致。此外,发现无论是否存在脂肪酶解,体外渗透数据与大鼠体内血浆浓度之间均具有极好的相关性(R>0.98),这突出了所开发的联合体外模型预测体内药物吸收的能力。