在一个新的3D体外模型中,模拟脑间质液流对海藻酸盐水凝胶释放趋化因子CXCL12的影响

Wiam El Kheir, Anaïs Dumais, Maude Beaudoin, B. Marcos, N. Virgilio, B. Paquette, N. Faucheux, Marc-Antoine Lauzon
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引用次数: 0

摘要

引言:已经对治疗多形性胶质母细胞瘤(GBM)的药物递送系统进行了广泛的研究。GBM细胞在脑组织内的浸润行为主要归因于其异质性、间质液(IFF)的运动和趋化因子的存在。这些因素导致目前常规治疗的有效性有限。为了解决GBM细胞的扩散,提出的一种治疗方法涉及利用CXC-趋化因子-配体-12(CXCL12)的控制释放梯度。然而,IFF对GBM细胞在大脑内迁移的影响强调了它作为一个重要参数的关键重要性,令人惊讶的是,它还没有在靶向大脑的局部药物递送的背景下得到广泛研究。方法:水凝胶以其固有的捕获各种药物的能力而闻名,并对其随后的释放进行精确控制。在本研究中,我们旨在阐明CXCL12在静态和动态条件下从海藻酸盐基水凝胶中的释放动力学,无论是游离形式还是包埋在纳米颗粒中。为了研究模拟脑肿瘤周围环境中间质流体流动(IFF)的对流力的影响,开发了一个三维体外模型。该模型能够将CXCL12的释放作为时间和位置的函数进行评估,特别是考虑模拟敌我识别对释放行为的贡献。结果:我们首先证明了在静态培养条件下的释放动力学曲线与初始质量负荷无关,主要发生的现象是扩散。随后,我们研究了CXCL12的释放,其被装载到海藻酸盐/壳聚糖纳米粒子(Alg/Chit NPs)中并包埋在海藻酸盐水凝胶基质中。数学建模结果还表明藻酸盐和CXCL12之间存在静电相互作用。Alg/Chit NP有效地减缓了最初的爆裂释放,导致CXCL12的扩散系数降低。为了进一步研究释放行为,我们开发了一种具有独特培养室的灌注生物反应器,该培养室旨在重现肿瘤周围环境,并将流体流速分别设定为0.5µL/min、3µL/min、6.5µL/min和10µL/min。随着流速的增加,对于所有三个初始质量负载,CXCL12的累积释放量也增加。超过3µL/min,对流成为控制CXCL12释放的主要机制,而低于该阈值,扩散发挥了更突出的作用。结论:间接灌流对CXCL12在水凝胶中的释放和分布有着至关重要的影响。该系统强调了在脑靶向递送系统中考虑IFF的重要性,并将在未来用于研究GBM细胞对CXCL12梯度的反应行为。
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Impact of simulated brain interstitial fluid flow on the chemokine CXCL12 release from an alginate-based hydrogel in a new 3D in vitro model
Introduction: Extensive investigation has been undertaken regarding drug delivery systems for the management of glioblastoma multiforme (GBM). The infiltrative behavior of GBM cells within the brain tissue is primarily attributed to their heterogeneity, the movement of interstitial fluid (IFF), and the presence of chemokines. These factors contribute to the limited effectiveness of current conventional treatments. To address the dissemination of GBM cells, a proposed therapeutic approach involves utilizing a controlled release gradient of CXC-chemokine-ligand-12 (CXCL12). However, the impact of IFF on GBM cell migration within the brain underscores its critical importance as a significant parameter, which, surprisingly, has not been extensively studied in the context of localized drug delivery targeting the brain.Methods: Hydrogels are known for their inherent capacity to entrap various agents and exert precise control over their subsequent release. In the present investigation, we aimed to elucidate the release kinetics of CXCL12, whether in its free form or encapsulated within nanoparticles, from alginate-based hydrogels, both under static and dynamic conditions. To investigate the impact of convective forces mimicking the interstitial fluid flow (IFF) within the peritumoral environment of the brain, a three-dimensional in vitro model was developed. This model enabled the evaluation of CXCL12 release as a function of time and position, specifically accounting for the contribution of simulated IFF on the release behavior.Results: We first demonstrated that the release kinetic profiles under static culture conditions were independent of the initial mass loading and the predominant phenomenon occurring was diffusion. Subsequently, we investigated the release of CXCL12, which was loaded into Alginate/Chitosan-Nanoparticles (Alg/Chit-NPs) and embedded within an alginate hydrogel matrix. Mathematical modeling results also indicated the presence of electrostatic interactions between alginate and CXCL12. The Alg/Chit-NPs effectively slowed down the initial burst release, leading to a reduction in the diffusion coefficient of CXCL12. To further study the release behavior, we developed a perfusion bioreactor with a unique culture chamber designed to recapitulate the peritumoral environment and varied the fluid flow rates at 0.5 µL/min, 3 µL/min, 6.5 µL/min, and 10 µL/min. As the flow rate increased, the cumulative amount of released CXCL12 also increased for all three initial mass loadings. Beyond 3 µL/min, convection became the dominant mechanism governing CXCL12 release, whereas below this threshold, diffusion played a more prominent role.Conclusion: The indirect perfusion flow had a crucial impact on CXCL12 release and distribution inside the hydrogel in and against its direction. This system highlights the importance of considering the IFF in brain targeting delivery system and will be used in the future to study GBM cell behaviors in response to CXCL12 gradient.
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