The Caco-2 Model: Modifications and enhancements to improve efficiency and predictive performance

碳酸钙-2 可药性 计算机科学 高通量筛选 药物发现 化学 计算生物学 体外 生物 生物化学 基因
作者
Nimishraj Panse,Phillip M. Gerk
出处
期刊:International Journal of Pharmaceutics [Elsevier BV]
卷期号:624: 122004-122004 被引量:107
标识
DOI:10.1016/j.ijpharm.2022.122004
摘要

The Caco-2 cell model has been widely used to assess the permeability of drug candidates. It has provided a high throughput in vitro platform, functionally resembling the enterocytes. Since the oral route is the most preferred for drug administration, the Caco-2 cell model acts as a very important tool to elucidate the oral "druggability" of a molecule by providing a fairly reliable estimate of its permeability through the intestinal membrane. Despite its shortcomings (the lack of a mucus layer, long cultivation period, inter-lab variability, and differences in expression of enzymes, transporters, and tight junction complexes) it remains heavily used due to its reliability, predictive performance, and wide acceptance. Various modifications have been made: co-culturing with other intestinal cells, applying biosimilar mucus, reducing culturing time, combining Caco-2 monolayer with the dissolution apparatus, enhancing protein expression, and redesigning the sampling apparatus. These modifications are intended to overcome some of the shortcomings of the Caco-2 model in order to make its use easier, quicker, economical, and more representative of the intestine. The aim of this review is to discuss such modifications to enhance this model's utility, predictive performance, and reproducibility.
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
体贴洋葱完成签到 ,获得积分10
刚刚
博思好行完成签到,获得积分10
4秒前
13秒前
健忘青牛完成签到 ,获得积分10
13秒前
hj123完成签到,获得积分10
14秒前
peterlzb1234567完成签到,获得积分10
14秒前
漂亮的秋天完成签到 ,获得积分10
15秒前
众行绘研完成签到 ,获得积分10
17秒前
王萌萌完成签到 ,获得积分10
18秒前
猪猪hero发布了新的文献求助10
18秒前
sss完成签到,获得积分10
20秒前
嘟嘟豆806完成签到 ,获得积分0
21秒前
小青完成签到,获得积分10
26秒前
开心的盼波完成签到 ,获得积分10
26秒前
orixero应助flow采纳,获得10
29秒前
今后应助hosokawa采纳,获得10
33秒前
勤奋的白桃完成签到 ,获得积分10
35秒前
小宝完成签到,获得积分10
35秒前
hyd完成签到 ,获得积分10
37秒前
38秒前
39秒前
Fyh19901116完成签到,获得积分10
40秒前
TYK应助xh采纳,获得10
40秒前
慧慧完成签到,获得积分10
40秒前
40秒前
flow发布了新的文献求助10
43秒前
TianFuAI完成签到,获得积分10
43秒前
chemzhh完成签到,获得积分10
44秒前
hosokawa发布了新的文献求助10
45秒前
杰_骜不驯完成签到 ,获得积分10
47秒前
48秒前
flow完成签到,获得积分10
49秒前
幽默的迎天完成签到,获得积分10
49秒前
Shaynin完成签到,获得积分10
49秒前
小石头完成签到 ,获得积分10
49秒前
cdercder应助科研通管家采纳,获得10
53秒前
cdercder应助科研通管家采纳,获得10
53秒前
慕容杏子完成签到,获得积分10
53秒前
cdercder应助科研通管家采纳,获得10
53秒前
cdercder应助科研通管家采纳,获得10
53秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6663463
求助须知:如何正确求助?哪些是违规求助? 8413391
关于积分的说明 17984679
捐赠科研通 5867762
什么是DOI,文献DOI怎么找? 2975127
邀请新用户注册赠送积分活动 1950979
关于科研通互助平台的介绍 1876957