Improved anti-hyperlipidemic activity of Rosuvastatin Calcium via lipid nanoparticles: Pharmacokinetic and pharmacodynamic evaluation.

来自 PUBMED

作者:

Dudhipala NVeerabrahma K

展开

摘要:

The intent of this investigation was to improve pharmacokinetic (PK) and pharmacodynamic (PD) effects of Rosuvastatin calcium (RC) by solid lipid nanoparticles (SLNs). RC is anti-hyperlipidemic drug with low oral bioavailability (20%) due to first-pass metabolism. Hot homogenization followed by ultrasonication method was used to prepare RC-SLNs with stearic acid, glyceryl behenate and glyceryl trilaurate as lipid matrices, egg lecithin and poloxamer 188 as surfactants. The prepared SLNs were tested for particle size, PDI, zeta potential (ZP), entrapment efficiency (EE), drug content and in vitro release. Further, PK and PD studies were conducted on selected SLNs. No changes in physical stability of the optimized SLN were observed at refrigerated and room temperature for 90days. SLNs prepared with glyceryl trilaurate having average size of 67.21±1.71nm, PDI of 0.25±0.01, ZP of -28.93±0.84mV with 93.51±0.34% EE was considered as optimized. DSC and XRD studies revealed that no interaction occurred between the drug and lipid. SEM and TEM studies revealed that SLNs were nearly spherical in shape. PK studies showed improvement in the oral bioavailability (extent of absorption) of SLNs by 4.6-fold when compared to that of suspension. PD study of SLNs in hyperlipidemic rats exhibited a decrease in lipid profile for 36h, while a suspension exhibited for 24h.

收起

展开

DOI:

10.1016/j.ejpb.2016.10.022

被引量:

19

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(694)

参考文献(0)

引证文献(19)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读