Autologous Co-culture of Primary Human Alveolar Macrophages and Epithelial Cells for Investigating Aerosol Medicines. Part I: Model Characterisation

体外 体内 肺泡细胞 A549电池 细胞培养 卵清蛋白 细胞 化学 细胞生物学 免疫学 生物 医学 免疫系统 生物化学 生物技术 遗传学 内科学
作者
Marius Hittinger,Julia Janke,Hanno Huwer,Regina Scherließ,Nicole Schneider‐Daum,Claus‐Michael Lehr
出处
期刊:Atla-alternatives To Laboratory Animals [SAGE Publishing]
卷期号:44 (4): 337-347 被引量:18
标识
DOI:10.1177/026119291604400404
摘要

The development of new formulations for pulmonary drug delivery is a challenge on its own. New in vitro models which address the lung are aimed at predicting and optimising the quality, efficacy and safety of inhaled drugs, to facilitate the more rapid translation of such products into the clinic. Reducing the complexity of the in vivo situation requires that such models reproducibly reflect essential physiological factors in vitro. The choice of cell types, culture conditions and the experimental set-up, can affect the outcome and the relevance of a study. In the alveolar space of the lung, epithelial cells and alveolar macrophages are the most important cell types, forming an efficient cellular barrier to aerosols. Our aim was to mimic this barrier with primary human alveolar cells. Cell densities of alveolar macrophages and epithelial cells, isolated from the same human donor, were optimised, with a focus on barrier properties. The combination of 300,000 epithelial cells/cm² together with 100,000 macrophages/cm² showed a functional barrier (transepithelial electrical resistance > 500Ω.cm²). This cell model was combined with the Pharmaceutical Aerosol Deposition Device on Cell Cultures. The functionality of the in vitro system was investigated with spray-dried fluorescently labelled poly(lactic-co-glycolic) acid particles loaded with ovalbumin as a model drug.
最长约 10秒,即可获得该文献文件

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
ceploup发布了新的文献求助10
刚刚
缓慢立辉完成签到,获得积分10
刚刚
xiaoyao发布了新的文献求助10
1秒前
李健的小迷弟应助fd采纳,获得10
1秒前
fatfat应助wwsss采纳,获得10
1秒前
猴猴发布了新的文献求助10
2秒前
2秒前
小猪乔治完成签到,获得积分10
2秒前
Chase发布了新的文献求助30
2秒前
ZS完成签到,获得积分10
3秒前
3秒前
Auqua应助眼睛大的霆采纳,获得10
3秒前
英俊的铭应助小易采纳,获得10
4秒前
Herry应助Samuel采纳,获得10
5秒前
包容小鸽子完成签到,获得积分10
6秒前
JamesPei应助勤奋谷梦采纳,获得10
6秒前
minatozakitaq发布了新的文献求助10
7秒前
zszs完成签到,获得积分10
7秒前
7秒前
隐形曼青应助肃肃其羽采纳,获得10
9秒前
小蘑菇应助肃肃其羽采纳,获得10
9秒前
9秒前
科研通AI2S应助肃肃其羽采纳,获得10
9秒前
紫菀完成签到,获得积分10
9秒前
9秒前
土豆发布了新的文献求助10
9秒前
我是老大应助肃肃其羽采纳,获得10
9秒前
小马甲应助肃肃其羽采纳,获得10
9秒前
CipherSage应助肃肃其羽采纳,获得10
9秒前
小马甲应助肃肃其羽采纳,获得10
10秒前
星辰大海应助曾经的安雁采纳,获得10
10秒前
11秒前
12秒前
Qiaoqiao发布了新的文献求助10
12秒前
xiang应助wwsss采纳,获得10
12秒前
嘉应完成签到,获得积分10
12秒前
13秒前
14秒前
123应助Andy采纳,获得20
14秒前
望舒发布了新的文献求助10
14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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 7624884
求助须知:如何正确求助?哪些是违规求助? 9199878
关于积分的说明 19724179
捐赠科研通 7195890
什么是DOI,文献DOI怎么找? 3273588
关于科研通互助平台的介绍 2435754
邀请新用户注册赠送积分活动 2269423