Faryami Ahmad, Menkara Adam, Ajaz Shaheer, Roberts Christopher, Jaroudi Ryan, Gura Blake, Hussini Tala, Harris Carolyn A
Department of Biomedical Engineering, Wayne State University, 818 W Hancock St, Detroit, MI, 48201, USA.
Department of Chemical Engineering and Materials Science, Wayne State University, 6135 Woodward Avenue, Rm 1413, Detroit, MI, 48202, USA.
Fluids Barriers CNS. 2024 Dec 19;21(1):103. doi: 10.1186/s12987-024-00600-1.
Hydrocephalus, an accumulation of cerebrospinal fluid (CSF) in the ventricles of the brain, is often treated via a shunt system to divert the excess CSF to a different compartment; if left untreated, it can lead to serious complications and permanent brain damage. It is estimated that one in every 500 people are born with hydrocephalus. Despite more than 60 years of concerted efforts, shunts still have the highest failure rate of any neurological device requiring follow-up shunt revision surgeries and contributing to the $2 billion cost of hydrocephalus care in the US alone. The absence of a tested and validated long-term in-vitro model that can incorporate clinically relevant parameters has limited hypothesis-driven studies and, in turn, limited our progress in understanding the mechanisms of shunt obstruction in hydrocephalus. Testing clinical parameters of flow, pressure, shear, catheter material, surface modifications, and others while optimizing for minimal protein, cellular, and blood interactions has yet to be done systematically for ventricular catheters. Several studies point to the need to not only understand how cells and tissues have occluded these shunt catheters but also how to stop the likely multi-faceted failure. For instance, studies show us that tissue occluding the ventricular catheter is primarily composed of proliferating astrocytes and cells of the macrophage lineage. Cell reactivity has been observed to follow flow gradients, with elevated levels of typically pro-inflammatory interleukin-6 produced under shear stress conditions greater than 0.5 dyne/[Formula: see text]. But also, that shear can shift cellular attachment. The Automated, In vitro Model for hydrocephalus research (AIMS), presented here, improves upon our previous long-term in vitro systems with specific goals of recapitulating bulk pulsatile cerebrospinal fluid (CSF) waveforms and steady-state flow directionality relevant to ventricular catheters used in hydrocephalus.
The AIMS setup was developed to recapitulate a wide range of physiologic and pathophysiologic CSF flow patterns with varying pulse amplitude, pulsation rate, and bulk flow rate with high throughput capabilities. These variables were specified in a custom-built user interface to match clinical CSF flow measurements. In addition to flow simulation capabilities, AIMS was developed as a modular setup for chamber testing and quality control. In this study, the capacity and consistency of single inlet resin chambers (N = 40), multidirectional resin chambers (N = 5), silicone chambers (N = 40), and PETG chambers (N = 50) were investigated. The impact of the internal geometry of the chamber types on flow vectors during pulsatile physiologic and pathophysiologic flow was visualized using Computational Fluid Dynamics (CFD). Dynamic changes in ventricular volume were investigated by combining AIMS with MRI-driven silicone model of a pediatric patient's ventricles. Parametric data were analyzed using one-way analysis of variance (ANOVA) or repeated measures ANOVA tests. Non-parametric data were analyzed using Kruskal-Wallis test. For all tests, a confidence interval was set at 0.95 (α = 0.05). In a subset of experiments, AIMS was also tested for its capability to measure the flow of florescent microspheres through the holes of unused and explanted ventricular catheters.
The analysis of peak amplitude through chambers indicated no statistically significant differences between the chamber batches. This high throughput setup was able to reproduce clinical measurements of bulk CSF flow tested in up to 50 independent pump channels such that there was no exchange of solution or flow interference between adjacent channels. Physiologic and pathophysiologic clinical measurements of CSF flow patterns were recapitulated in all four chamber types of the AIMS setup with and without augmented compliance. The AIMS setup's automated priming feature facilitated constant fluid contact throughout the study; no leaks or ruptures were observed during short- (up to 24 h) or long-term (30 days) experiments. Finally, qualitative microscopy long-exposure image capture revealed microsphere movement under steady-state and pulsatile flow of spheres moving into the shunt catheter.
AIMS successfully simulates clinical measurements of physiologic and pathophysiologic CSF pulsation amplitude and frequency, as exemplified using clinical data of CSF exiting an externalized ventricular drain in four distinct chamber types, as well as flow patterns from a valve. This provides a promising platform for investigating the direct interaction between CSF, immune cells, and shunt hardware under relevant flow conditions when both the source of bulk flow and pulsatility are coupled. The implementation of this system in conjunction with a previously reported three-dimensional hydrogel scaffold in future work will enhance our understanding of shunt-related complications and improve treatment strategies by reducing the obstruction rate.
脑积水是指脑脊液(CSF)在脑室中积聚,通常通过分流系统进行治疗,以将多余的脑脊液引流到不同的腔室;如果不进行治疗,可能会导致严重并发症和永久性脑损伤。据估计,每500人中就有1人出生时患有脑积水。尽管经过60多年的共同努力,但分流器仍是所有需要进行后续分流器翻修手术的神经装置中故障率最高的,仅在美国,脑积水护理费用就高达20亿美元。缺乏一个经过测试和验证的长期体外模型,无法纳入临床相关参数,这限制了基于假设的研究,进而限制了我们在理解脑积水分流梗阻机制方面的进展。对于脑室导管,尚未系统地测试流量、压力、剪切力、导管材料、表面改性等临床参数,同时优化蛋白质、细胞和血液的相互作用。多项研究表明,不仅需要了解细胞和组织如何阻塞这些分流导管,还需要了解如何阻止可能的多方面故障。例如,研究表明,阻塞脑室导管的组织主要由增殖的星形胶质细胞和巨噬细胞谱系的细胞组成。已观察到细胞反应遵循流动梯度,在剪切应力条件大于0.5达因/[公式:见正文]时,通常促炎的白细胞介素-6水平会升高。而且,剪切力会改变细胞附着。本文介绍的脑积水研究自动体外模型(AIMS)改进了我们之前的长期体外系统,其具体目标是重现与脑积水所用脑室导管相关的大量脉动脑脊液(CSF)波形和稳态流动方向性。
开发AIMS装置是为了以高通量能力重现各种生理和病理生理的脑脊液流动模式,包括不同的脉冲幅度、脉动率和总体流速。这些变量在定制的用户界面中指定,以匹配临床脑脊液流量测量值。除了流量模拟能力外,AIMS还被开发为用于腔室测试和质量控制的模块化装置。在本研究中,研究了单入口树脂腔室(N = 40)、多向树脂腔室(N = 5)、硅胶腔室(N = 40)和PETG腔室(N = 50)的容量和一致性。使用计算流体动力学(CFD)可视化不同腔室类型的内部几何结构对脉动生理和病理生理流动期间流动矢量的影响。通过将AIMS与儿科患者脑室的MRI驱动硅胶模型相结合,研究脑室体积的动态变化。参数数据使用单因素方差分析(ANOVA)或重复测量ANOVA检验进行分析。非参数数据使用Kruskal-Wallis检验进行分析。对于所有测试,置信区间设定为0.95(α = 0.05)。在一部分实验中,还测试了AIMS测量荧光微球通过未使用和取出的脑室导管孔的流量的能力。
通过腔室的峰值幅度分析表明,不同批次的腔室之间没有统计学上的显著差异。这种高通量装置能够重现多达50个独立泵通道中测试的脑脊液总体流量的临床测量值,使得相邻通道之间没有溶液交换或流量干扰。在AIMS装置的所有四种腔室类型中,无论是否增加顺应性,都重现了脑脊液流动模式的生理和病理生理临床测量值。AIMS装置的自动灌注功能有助于在整个研究过程中保持恒定的液体接触;在短期(长达24小时)或长期(30天)实验中未观察到泄漏或破裂。最后,定性显微镜长时间曝光图像捕获显示微球在稳态和脉动流下移动进入分流导管。
AIMS成功模拟了生理和病理生理脑脊液脉动幅度和频率的临床测量值,如使用来自四种不同腔室类型的外部脑室引流管流出的脑脊液的临床数据以及瓣膜的流动模式所例证的那样。这为在相关流动条件下研究脑脊液、免疫细胞和分流硬件之间的直接相互作用提供了一个有前景的平台,此时总体流量和脉动性的来源是耦合的。在未来的工作中,将该系统与先前报道的三维水凝胶支架结合使用,将增强我们对分流相关并发症的理解,并通过降低梗阻率改善治疗策略。