Impact of simulated lung fluid components on the solubility of inhaled drugs and predicted in vivo performance

体内 溶解度 药理学 药代动力学 制药技术 化学 剂型 医学 色谱法 内科学 有机化学 生物 生物技术
作者
Snezana Radivojev,Gerfried Luschin-Ebengreuth,Joana T. Pinto,Peter Laggner,Alessandro Cavecchi,Nicola Cesari,Massimo Cella,Fabrizio Melli,Amrit Paudel,Eleonore Fröhlich
出处
期刊:International Journal of Pharmaceutics [Elsevier BV]
卷期号:606: 120893-120893 被引量:19
标识
DOI:10.1016/j.ijpharm.2021.120893
摘要

Orally inhaled products (OIPs) are gaining increased attention, as pulmonary delivery is a preferred route for the treatment of various diseases. Yet, the field of inhalation biopharmaceutics is still in development phase. For a successful correlation between various in vitro data obtained during formulation characterization and in vivo performance, it is necessary to understand the impact of parameters such as solubility and dissolution of drugs. In this work, we used in vitro-in silico feedback-feedforward approach to gain a better insight into the biopharmaceutics behavior of inhaled Salbutamol Sulphate (SS) and Budesonide (BUD). The thorough characterization of the in vitro test media and the impact of different in vitro fluid components such as lipids and protein on the solubility of aforementioned drugs was studied . These results were subsequently used as an input into the developed in silico models to investigate potential PK parameter changes in vivo . Results revealed that media comprising lipids and albumin were the most biorelevant and impacted the solubility of BUD the most. On the contrary, no notable impact was seen in case of SS. The use of simple media such as phosphate buffer saline (PBS) might be sufficient to use in solubility studies of the highly soluble and permeable drugs. However, its use for the poorly soluble drugs is limited due to the greater potential for interactions within in vivo environment. The use of in silico tools showed that the model response varies, depending on the used media. Therefore, this work highlights the relevance of carefully selecting the media composition when investigating solubility and dissolution behavior, especially in the early phases of drug development and of poorly soluble drugs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1222完成签到,获得积分10
2秒前
bbhk完成签到,获得积分10
3秒前
zxx完成签到 ,获得积分10
3秒前
ARIA完成签到 ,获得积分10
4秒前
5秒前
阳光的从阳完成签到,获得积分10
8秒前
zackf发布了新的文献求助10
9秒前
在九月完成签到 ,获得积分10
10秒前
Richard完成签到 ,获得积分10
10秒前
16秒前
蓝莓芝士完成签到 ,获得积分10
17秒前
科研通AI6.2应助3sigma采纳,获得10
19秒前
WSR完成签到,获得积分20
20秒前
李妍庆完成签到 ,获得积分10
21秒前
Precipitate完成签到 ,获得积分10
22秒前
千里眼发布了新的文献求助10
22秒前
大大怪完成签到,获得积分10
23秒前
Cker完成签到,获得积分10
23秒前
哇咔咔完成签到 ,获得积分10
23秒前
28秒前
3sigma发布了新的文献求助10
32秒前
ran完成签到 ,获得积分10
32秒前
玖凝完成签到,获得积分20
33秒前
何何完成签到,获得积分10
34秒前
huluwa完成签到,获得积分10
36秒前
Lixiang完成签到,获得积分10
37秒前
reece完成签到 ,获得积分10
37秒前
Owen应助幽默小丸子采纳,获得10
38秒前
林好人完成签到 ,获得积分10
38秒前
科研通AI6.3应助何何采纳,获得10
40秒前
三三发布了新的文献求助10
41秒前
41秒前
45秒前
Kao应助玖凝采纳,获得20
45秒前
整齐半青完成签到 ,获得积分10
47秒前
玄轩小悟风完成签到,获得积分10
47秒前
crazyrock完成签到,获得积分10
50秒前
51秒前
51秒前
goodsheperd完成签到 ,获得积分10
51秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
丝光沸石活性位点定向调控及其二甲醚羰基化性能研究 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7432657
求助须知:如何正确求助?哪些是违规求助? 9034354
关于积分的说明 19245984
捐赠科研通 7058933
什么是DOI,文献DOI怎么找? 3236604
关于科研通互助平台的介绍 2400227
邀请新用户注册赠送积分活动 2219806