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Biomimetic 3D Tissue Models for Advanced High-Throughput Drug Screening

机译:用于高级高通量药物筛选的仿生3D组织模型

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摘要

Most current drug screening assays used to identify new drug candidates are 2D cell-based systems, even though such in vitro assays do not adequately re-create the in vivo complexity of 3D tissues. Inadequate representation of the human tissue environment during a preclinical test can result in inaccurate predictions of compound effects on overall tissue functionality. Screening for compound efficacy by focusing on a single pathway or protein target, coupled with difficulties in maintaining long-term 2D monolayers, can serve to exacerbate these issues when using such simplistic model systems for physiological drug screening applications. Numerous studies have shown that cell responses to drugs in 3D culture are improved from those in 2D, with respect to modeling in vivo tissue functionality, which highlights the advantages of using 3D-based models for preclinical drug screens. In this review, we discuss the development of microengineered 3D tissue models that accurately mimic the physiological properties of native tissue samples and highlight the advantages of using such 3D microtissue models over conventional cell-based assays for future drug screening applications. We also discuss biomimetic 3D environments, based on engineered tissues as potential preclinical models for the development of more predictive drug screening assays for specific disease models.
机译:当前用于识别新候选药物的大多数药物筛选分析方法都是基于2D细胞的系统,即使此类体外分析方法不能充分再现3D组织的体内复杂性。临床前测试过程中人体组织环境的代表不足会导致化合物对整体组织功能的影响的预测不准确。通过将此类简单模型系统用于生理性药物筛选应用时,通过关注单一途径或蛋白质靶点筛选化合物功效,再加上难以维持长期的2D单分子层,可加剧这些问题。大量研究表明,在体内组织功能建模方面,与3D培养相比,细胞对3D培养的反应有所改善,这突显了在临床前药物筛选中使用基于3D的模型的优势。在这篇综述中,我们讨论了可精确模拟天然组织样本生理特性的微工程3D组织模型的开发,并强调了将这种3D微组织模型优于常规基于细胞的测定法用于未来药物筛选应用的优势。我们还将讨论仿生3D环境,其基于工程组织作为潜在的临床前模型,用于开发针对特定疾病模型的更具预测性的药物筛选测定法。

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