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Accelerated Caco-2 cell permeability model for drug discovery

机译:用于药物发现的加速Caco-2细胞渗透性模型

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Introduction: By culturing Caco-2 cells according to a new and optimized protocol, it has been possible to accelerate the cell culture process in such a way that the cells can be used for experiments after only 6. days. The accelerated Caco-2 model has been compared to the traditional model (requiring 21-25. days of culture) in terms of tightness of the junctions, ability to rank chemical compounds for apparent permeability, active efflux and to discriminate P-gp substrates. Methods and results: In the new protocol, Caco-2 cells were cultured with the classical Caco-2 medium supplemented with puromycin. The initial cell seeding density was increased two times compared to the traditional procedure and the presence of a low concentration of puromycin in the culture medium reduced the Caco-2 permeability of mannitol. Bi-directional studies were performed with known P-gp substrates (rhodamine 123, digoxin and saquinavir) and with a total of 20 marketed drugs covering a wide range of physicochemical characteristics and therapeutic indications. Strong correlations were obtained between the apparent permeability in absorptive (Papp A. →. B) or secretory (Papp B. →. A) of the drugs in the accelerated model and in the traditional models and comparable efflux ratios were observed in the two studied models. Discussion: The new protocol reduces costs for screening and leads to higher throughput compared to traditional Caco-2 cell models. This accelerated model provides short time-feedback to the drug design during the early stage of drug discovery.
机译:简介:通过根据新的和优化的方案培养Caco-2细胞,可以加速细胞培养过程,使细胞仅需6天即可用于实验。已将加速的Caco-2模型与传统模型(需要21-25天的培养时间)的连接紧密度,对化合物进行表观渗透性排序,主动外排以及区分P-gp底物的能力进行了比较。方法和结果:在新方案中,将Caco-2细胞与补充嘌呤霉素的经典Caco-2培养基一起培养。与传统方法相比,初始细胞接种密度增加了两倍,并且培养基中低浓度嘌呤霉素的存在降低了甘露醇的Caco-2渗透性。使用已知的P-gp底物(若丹明123,地高辛和沙奎那韦)以及总共20种市售药物进行了双向研究,这些药物涵盖了广泛的理化特性和治疗适应症。在加速模型和传统模型中,药物的吸收性(Papp A.→.B)或分泌性(Papp B.→.A)之间的表观渗透性之间具有很强的相关性,在两个研究中观察到相当的流出率楷模。讨论:与传统的Caco-2细胞模型相比,新协议降低了筛选成本,并提高了通量。在药物发现的早期阶段,这种加速的模型为药物设计提供了短时间的反馈。

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