近真实手术标本(NRSS):脉络膜上给药标准化评估的新平台。

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY
Vinit B Mahajan, Yoreh Barak, David R P Almeida
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引用次数: 0

摘要

目的:脉络膜上给药是治疗后段眼病的一种很有前途的途径。目前的离体模型,主要是人类尸体的眼睛,受到组织变异性和死后流体动力学改变的限制。我们引入了近真实手术标本(NRSS),一种工程眼组织平台,以克服这些限制,并提供标准化,可重复的SC给药评估。方法:设计具有新鲜人体组织仿生特性的NRSS眼模型。在NRSS标本(n = 8)中,使用Everads脉络膜上注射器进行对比增强平衡盐溶液(100µL)的脉络膜上注射,该注射器具有30号针和非锋利镍钛诺组织分离器,用于切向脉络膜上间隙(SCS)的钝化剥离。综合对比成像系统实现实时可视化。包括SC覆盖模式、标本间变异性(变异系数[CV])和注射动力学在内的关键参数被量化,并与已发表的人类尸体眼数据进行了比较。结果:NRSS平台显示出一致的SC覆盖模式。使用Everads脉络膜上注射器,注射剂表现出最初从注射部位后侧扩散,随后是后周扩散。与已报道的尸体研究相比,NRSS标本的SC覆盖率在标本间变异性显著降低(变异系数:NRSS为6.8%,而尸体组织为17.7%,P < 0.01)。实时可视化提供了SC注射动态特性的详细信息,包括在静态尸体模型中不易观察到的流体流动模式和组织相互作用。结论:NRSS平台提供了一种可重复和标准化的方法来评估SC给药,密切模仿临床相关的生物力学特性。它可以实现注射动态的直接可视化,并具有定制病理条件模型的潜力,与传统的尸体模型相比,在设备测试、治疗评估和手术培训方面具有明显的优势。Everads脉络膜上注射器在NRSS模型中显示出有效和可靠的SCS通路,具有典型的后优先扩散模式。翻译相关性:NRSS技术解决了当前SC注入评估模型的关键限制。它为优化输送设备、定量评估新疗法和加强SC手术培训提供了一个强大的标准化平台,从而有可能加速SC疗法的临床转化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Near-Real Surgical Specimens (NRSS): A Novel Platform for Standardized Assessment of Suprachoroidal Drug Delivery.

Near-Real Surgical Specimens (NRSS): A Novel Platform for Standardized Assessment of Suprachoroidal Drug Delivery.

Near-Real Surgical Specimens (NRSS): A Novel Platform for Standardized Assessment of Suprachoroidal Drug Delivery.

Purpose: Suprachoroidal (SC) drug delivery is a promising avenue for treating posterior segment ocular diseases. Current ex vivo models, primarily human cadaveric eyes, are limited by tissue variability and altered post-mortem fluid dynamics. We introduce near-real surgical specimens (NRSS), an engineered ocular tissue platform, to overcome these limitations and provide standardized, reproducible evaluation of SC drug delivery.

Methods: NRSS ocular models were engineered with biomimetic properties calibrated to fresh human tissue. Suprachoroidal injections of a contrast-enhanced balanced salt solution (100 µL) were performed in NRSS specimens (n = 8) using the Everads Suprachoroidal Injector, which features a 30-gauge needle and a non-sharp nitinol tissue separator for tangential blunt dissection into the suprachoroidal space (SCS). An integrated contrast imaging system enabled real-time visualization. Key parameters, including SC coverage patterns, interspecimen variability (coefficient of variation [CV]), and injection dynamics, were quantified and compared to published human cadaveric eye data.

Results: The NRSS platform demonstrated consistent SC coverage patterns. With the Everads Suprachoroidal Injector, injectate exhibited an initial posterior diffusion from the injection site, followed by postero-circumferential spread. NRSS specimens showed significantly reduced inter-specimen variability in SC coverage compared to reported cadaveric studies (CV: 6.8% for NRSS vs. 17.7% for cadaveric tissue; P < 0.01). Real-time visualization provided detailed insights into the dynamic characteristics of SC injection, including fluid flow patterns and tissue interactions not readily observable in static cadaveric models.

Conclusions: The NRSS platform offers a reproducible and standardized method for evaluating SC drug delivery, closely mimicking clinically relevant biomechanical properties. It enables direct visualization of injection dynamics and holds potential for customization to model pathologic conditions, providing distinct advantages over traditional cadaveric models for device testing, therapeutic assessment, and surgical training. The Everads Suprachoroidal Injector demonstrated effective and reliable access to the SCS in NRSS models with a characteristic posterior-first spread pattern.

Translational relevance: NRSS technology addresses critical limitations in current SC injection assessment models. It provides a robust, standardized platform for optimizing delivery devices, quantitatively evaluating novel therapeutics, and enhancing surgical training for SC procedures, thereby potentially accelerating the clinical translation of SC therapies.

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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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