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三维生物打印在器官和类器官模型及疾病建模中的应用。

3D bioprinting for organ and organoid models and disease modeling.

机构信息

Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada.

Division of Medical Sciences, University of Victoria, Victoria BC, Canada.

出版信息

Expert Opin Drug Discov. 2023 Jul-Dec;18(9):1043-1059. doi: 10.1080/17460441.2023.2234280. Epub 2023 Jul 11.

Abstract

INTRODUCTION

3D printing, a versatile additive manufacturing technique, has diverse applications ranging from transportation, rapid prototyping, clean energy, and medical devices.

AREAS COVERED

The authors focus on how 3D printing technology can enhance the drug discovery process through automating tissue production that enables high-throughput screening of potential drug candidates. They also discuss how the 3D bioprinting process works and what considerations to address when using this technology to generate cell laden constructs for drug screening as well as the outputs from such assays necessary for determining the efficacy of potential drug candidates. They focus on how bioprinting how has been used to generate cardiac, neural, and testis tissue models, focusing on bio-printed 3D organoids.

EXPERT OPINION

The next generation of 3D bioprinted organ model holds great promises for the field of medicine. In terms of drug discovery, the incorporation of smart cell culture systems and biosensors into 3D bioprinted models could provide highly detailed and functional organ models for drug screening. By addressing current challenges of vascularization, electrophysiological control, and scalability, researchers can obtain more reliable and accurate data for drug development, reducing the risk of drug failures during clinical trials.

摘要

简介

3D 打印是一种多功能的增材制造技术,其应用领域广泛,包括交通运输、快速原型制造、清洁能源和医疗器械等。

涵盖领域

作者重点介绍了 3D 打印技术如何通过自动化组织生产来增强药物发现过程,从而实现潜在药物候选物的高通量筛选。他们还讨论了 3D 生物打印过程的工作原理,以及在使用该技术生成用于药物筛选的细胞负载构建体时需要考虑的因素,以及用于确定潜在药物候选物疗效的此类测定的输出。他们专注于生物打印如何用于生成心脏、神经和睾丸组织模型,重点关注生物打印的 3D 类器官。

专家意见

下一代 3D 生物打印器官模型为医学领域带来了巨大的希望。就药物发现而言,将智能细胞培养系统和生物传感器纳入 3D 生物打印模型中,可以为药物筛选提供高度详细和功能齐全的器官模型。通过解决血管化、电生理控制和可扩展性等当前挑战,研究人员可以为药物开发获得更可靠和准确的数据,降低临床试验中药物失败的风险。

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