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基于成像导航平台的鸡胚和绒毛尿囊膜在抗癌药物评估中的应用探索。

Exploration of Chick Embryo and Chorioallantoic Membrane on Imaging Navigated Platforms for Anticancer Pharmaceutical Evaluations.

机构信息

KU Leuven, Biomedical Group, Leuven, Belgium.

Department of Radiology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.

出版信息

Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231206985. doi: 10.1177/15330338231206985.

Abstract

Conforming to the current replace-reduce-refine 3Rs' guidelines in animal experiments, a series of explorative efforts have been made to set up operable biomedical imaging-guided platforms for qualitative and quantitative evaluations on pharmacological effects of tumor vascular-disrupting agents (VDAs), based on the chick embryos (CEs) with its chorioallantoic membrane (CAM), in this overview. The techniques and platforms have been hierarchically elaborated, from macroscopic to microscopic and from overall to specific aspects. A protocol of LED lamplight associated with a new deep-learning algorithm was consolidated to screen out weak CEs by using the CAM vasculature imaging. 3D magnetic resonance imaging (MRI) and laser speckle contrast imaging (LSCI) to monitor the evolution of CE and vascular changes in CAM are introduced. A LSCI-CAM platform for studying the effects of VDAs on normal and cancerous vasculature of CAM and possible molecular mechanisms has been demonstrated. Finally, practical challenges and future perspectives are highlighted. The aim of this article is to help peers in biomedical research to familiarize with the CAM platform and to optimize imaging protocols for the evaluation of vasoactive pharmaceuticals, especially anticancer vascular targeted therapy.

摘要

为了符合当前动物实验中的替代-减少-优化 3R 准则,我们进行了一系列探索性的努力,在鸡胚(CE)及其绒毛尿囊膜(CAM)的基础上,建立了可操作的生物医学成像引导平台,用于定性和定量评估肿瘤血管破坏剂(VDA)的药理作用。在本篇综述中,这些技术和平台从宏观到微观、从整体到具体方面进行了分层阐述。本文提出了一种使用 LED 灯和新的深度学习算法来筛选出弱 CE 的方案,通过 CAM 血管成像来筛选出弱 CE。引入了 3D 磁共振成像(MRI)和激光散斑对比成像(LSCI)来监测 CE 和 CAM 血管变化的演变。还展示了一种用于研究 VDA 对 CAM 正常和癌血管影响以及可能的分子机制的 LSCI-CAM 平台。最后,强调了实际挑战和未来展望。本文旨在帮助生物医学研究领域的同行熟悉 CAM 平台,并优化用于评估血管活性药物的成像方案,特别是用于抗癌血管靶向治疗的药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f119/10585999/d1a233fdb7d2/10.1177_15330338231206985-fig1.jpg

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