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基于细胞的渗透测定法在筛选肠道吸收药物方面的进展。

Advances in cell-based permeability assays to screen drugs for intestinal absorption.

机构信息

Division of Applied Regulatory Science, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.

出版信息

Expert Opin Drug Discov. 2020 May;15(5):539-549. doi: 10.1080/17460441.2020.1735347. Epub 2020 Mar 10.

Abstract

: Successful oral therapy requires sufficient intestinal absorption to enable the drug to reach its site of action. Evaluation of intestinal permeability is important for candidate selection during drug discovery and development. cell assays that correlate with human intestinal absorption serve as an alternative to more expensive and low-throughput preclinical or clinical methods to investigate a drug's intestinal permeability.: This article focuses on cell-based models utilized to predict intestinal drug permeability. This includes the utilization of the Caco-2 and other cell epithelial lines, human primary intestinal cells, and induced pluripotent stem cells. Additional topics include co-cultures, three-dimensional models, and microfluidic systems.: permeability assays are utilized to predict a drug's permeability class or intestinal fraction absorbed. Newer Caco-2 co-cultures, intestinal epithelial cells, and three-dimensional models better replicate the architecture of the mucus and multi-cellular epithelium layer. Such models may result in an improved understanding of a drug's intestinal permeability mechanism(s). Nevertheless, these newer models require validation with larger sets of drugs having known intestinal absorption before they can be routinely utilized to estimate human intestinal drug absorption.

摘要

: 成功的口服治疗需要足够的肠道吸收,以使药物到达其作用部位。在药物发现和开发过程中,评估肠道通透性对于候选药物的选择非常重要。与人类肠道吸收相关的细胞测定可作为更昂贵、低通量的临床前或临床方法的替代方法,用于研究药物的肠道通透性。: 本文重点介绍了用于预测肠道药物通透性的基于细胞的模型。这包括利用 Caco-2 和其他上皮细胞系、人原代肠道细胞和诱导多能干细胞。其他主题包括共培养物、三维模型和微流控系统。: 通透性测定用于预测药物的通透性类别或肠道吸收分数。新型 Caco-2 共培养物、肠上皮细胞和三维模型更好地模拟了黏液和多细胞上皮层的结构。这些模型可能有助于更好地理解药物的肠道通透性机制。然而,在这些新模型可以常规用于估计人体肠道药物吸收之前,需要用具有已知肠道吸收的更大药物数据集进行验证。

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