Hauck Margarethe, Dittmann Jan, Zeller-Plumhoff Berit, Madurawala Roshani, Hellmold Dana, Kubelt Carolin, Synowitz Michael, Held-Feindt Janka, Adelung Rainer, Wulfinghoff Stephan, Schütt Fabian
Functional Nanomaterials, Institute for Materials Science, Faculty of Engineering, Kiel University, 24143 Kiel, Germany.
Computational Materials Science, Institute for Materials Science, Faculty of Engineering, Kiel University, 24143 Kiel, Germany.
Pharmaceutics. 2022 Apr 2;14(4):777. doi: 10.3390/pharmaceutics14040777.
Localized therapy approaches have emerged as an alternative drug administration route to overcome the limitations of systemic therapies, such as the crossing of the blood-brain barrier in the case of brain tumor treatment. For this, implantable drug delivery systems (DDS) have been developed and extensively researched. However, to achieve an effective localized treatment, the release kinetics of DDS needs to be controlled in a defined manner, so that the concentration at the tumor site is within the therapeutic window. Thus, a DDS, with patient-specific release kinetics, is crucial for the improvement of therapy. Here, we present a computationally supported reservoir-based DDS (rDDS) development towards patient-specific release kinetics. The rDDS consists of a reservoir surrounded by a polydimethylsiloxane (PDMS) microchannel membrane. By tailoring the rDDS, in terms of membrane porosity, geometry, and drug concentration, the release profiles can be precisely adapted, with respect to the maximum concentration, release rate, and release time. The release is investigated using a model dye for varying parameters, leading to different distinct release profiles, with a maximum release of up to 60 days. Finally, a computational simulation, considering exemplary in vivo conditions (e.g., exchange of cerebrospinal fluid), is used to study the resulting drug release profiles, demonstrating the customizability of the system. The establishment of a computationally supported workflow, for development towards a patient-specific rDDS, in combination with the transfer to suitable drugs, could significantly improve the efficacy of localized therapy approaches.
局部治疗方法已成为一种替代给药途径,以克服全身治疗的局限性,例如在脑肿瘤治疗中跨越血脑屏障的问题。为此,已开发并广泛研究了可植入药物递送系统(DDS)。然而,为了实现有效的局部治疗,需要以特定的方式控制DDS的释放动力学,以使肿瘤部位的浓度处于治疗窗口内。因此,具有患者特异性释放动力学的DDS对于改善治疗至关重要。在此,我们展示了一种基于储库的DDS(rDDS)的计算支持开发,以实现患者特异性释放动力学。rDDS由一个被聚二甲基硅氧烷(PDMS)微通道膜包围的储库组成。通过在膜孔隙率、几何形状和药物浓度方面对rDDS进行定制,可以根据最大浓度、释放速率和释放时间精确调整释放曲线。使用模型染料针对不同参数研究释放情况,可得到不同的独特释放曲线,最长释放时间可达60天。最后,考虑示例性体内条件(例如脑脊液交换)的计算模拟用于研究所得的药物释放曲线,证明了该系统的可定制性。建立一个计算支持的工作流程,用于开发针对患者特异性rDDS,并将其应用于合适的药物,可显著提高局部治疗方法的疗效。