Air-liquid interface (ALI) impact on different respiratory cell cultures

呼吸上皮 体内 细胞培养 上皮 免疫学 电池类型 医学 离体 细胞 生物 病理 生物技术 遗传学
作者
Soraia Silva,Joana Bicker,Amílcar Falcão,Ana Fortuna
出处
期刊:European Journal of Pharmaceutics and Biopharmaceutics [Elsevier]
卷期号:184: 62-82 被引量:19
标识
DOI:10.1016/j.ejpb.2023.01.013
摘要

The intranasal route has been receiving greater attention from the scientific community not only for systemic drug delivery but also for the treatment of pulmonary and neurological diseases. Along with it, drug transport and permeability studies across the nasal mucosa have exponentially increased. Nevertheless, the translation of data from in vitro cell lines to in vivo studies is not always reliable, due to the difficulty in generating an in vitro model that resembles respiratory human physiology. Among all currently available methodologies, the air–liquid interface (ALI) method is advantageous to promote cell differentiation and optimize the morphological and histological characteristics of airway epithelium cells. Cells grown under ALI conditions, in alternative to submerged conditions, appear to provide relevant input for inhalation and pulmonary toxicology and complement in vivo experiments. Different methodologies and a variety of materials have been used to induce ALI conditions in primary cells and numerous cell lines. Until this day, with only exploratory results, no consensus has been reached regarding the validation of the ALI method, hampering data comparison. The present review describes the most adequate cell models of airway epithelium and how these models are differently affected by ALI conditions. It includes the evaluation of cellular features before and after ALI, and the application of the method in primary cell cultures, commercial 3D primary cells, cell lines and stem-cell derived models. A variety of these models have been recently applied for pharmacological studies against severe acute respiratory syndrome–coronavirus(-2) SARS-CoV(-2), namely primary cultures with alveolar type II epithelium cells and organotypic 3D models. The herein compiled data suggest that ALI conditions must be optimized bearing in mind the type of cells (nasal, bronchial, alveolar), their origin and the objective of the study.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
3秒前
火星上的闭月完成签到 ,获得积分10
4秒前
轩辕忆枫完成签到,获得积分10
4秒前
大山竹完成签到,获得积分10
5秒前
xinanan发布了新的文献求助10
5秒前
cxx完成签到 ,获得积分10
7秒前
靓仔完成签到,获得积分10
9秒前
10秒前
11秒前
gsh发布了新的文献求助20
11秒前
13秒前
14秒前
roclie发布了新的文献求助10
14秒前
DY发布了新的文献求助10
15秒前
19秒前
乾明少侠完成签到 ,获得积分10
21秒前
小马甲应助大山竹采纳,获得10
22秒前
23秒前
情怀应助独特乘云采纳,获得10
23秒前
奶糖最可爱完成签到,获得积分10
24秒前
zjy发布了新的文献求助30
30秒前
gyx完成签到 ,获得积分10
30秒前
30秒前
30秒前
热切菩萨应助Qyyy采纳,获得10
33秒前
33秒前
34秒前
阿科发布了新的文献求助10
35秒前
芝芝发布了新的文献求助10
35秒前
斯文败类应助乐观的雁兰采纳,获得10
40秒前
wdg发布了新的文献求助10
40秒前
小马发布了新的文献求助20
42秒前
43秒前
44秒前
好多鱼完成签到,获得积分10
44秒前
郑先生完成签到 ,获得积分10
45秒前
Chara_kara完成签到,获得积分10
45秒前
46秒前
CodeCraft应助wahaha采纳,获得10
48秒前
高分求助中
Handbook of Fuel Cells, 6 Volume Set 1666
求助这个网站里的问题集 1000
Floxuridine; Third Edition 1000
Tracking and Data Fusion: A Handbook of Algorithms 1000
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 冶金 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2865887
求助须知:如何正确求助?哪些是违规求助? 2472715
关于积分的说明 6704004
捐赠科研通 2161669
什么是DOI,文献DOI怎么找? 1148362
版权声明 585451
科研通“疑难数据库(出版商)”最低求助积分说明 564054