Devamoglu Utku, Arslan Yagmur, Sabour-Takanlou Leila, Biray-Avci Cigir, Yesil-Celiktas Ozlem
Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
Applied Microfluidics for BioEngineering Research, MESA+ Institute for Nanotechnology and TechMed Centre, University of Twente, Enschede, The Netherlands.
Biomater Sci. 2025 Jun 25;13(13):3707-3721. doi: 10.1039/d4bm01702a.
Neurodegenerative diseases mostly stem from oxidative stress and/or misfolded proteins in the central and peripheral nervous systems, posing clinical and economic burdens globally. Despite the advances in this field, biomimetic models recapitulating the neural microphysiological environment of both patients and healthy individuals are needed to accelerate drug development. Herein, a biomimetic microfluidic platform was developed to promote neural differentiation of stem cells by recapitulating physicochemical and physicomechanical factors in the neural microenvironment. In order to address this, the supportive role of electrical stimulation (ES) was assessed under various conditions by using immunofluorescence staining of mesenchymal stromal cell markers (CD45, CD90), the neuroepithelial stem cell protein marker (Nestin) and the microtubule-associated protein 2 marker (MAP2). Moreover, the combinational effect of ES and a cell-derived matrix (CDM), or a three-dimensional tissue-derived matrix (TDM), was explored. The matrices were obtained and characterized by scanning electron microscopy, contact angle analysis, DNA analysis, agarose gel electrophoresis, and in terms of extracellular matrix proteins. Neural differentiation was further validated by analysis of changes in gene expressions. ES applied in a rectangular manner with a 10 ms frequency at an intensity of 200 mV cm for 1 h per day for 7 days, followed by an additional 7 day recovery phase, revealed optimum neural differentiation for the combinational approach with brain TDM in both 2D and 3D. In conclusion, this work highlights the critical role of both physicochemical and physicomechanical factors in neural differentiation, offering valuable insights for advancing biomimetic models and stem cell research.
神经退行性疾病大多源于中枢和外周神经系统中的氧化应激和/或错误折叠的蛋白质,给全球带来了临床和经济负担。尽管该领域取得了进展,但仍需要能够模拟患者和健康个体神经微生理环境的仿生模型来加速药物开发。在此,开发了一种仿生微流控平台,通过模拟神经微环境中的物理化学和物理机械因素来促进干细胞的神经分化。为了解决这个问题,通过对间充质基质细胞标志物(CD45、CD90)、神经上皮干细胞蛋白标志物(巢蛋白)和微管相关蛋白2标志物(MAP2)进行免疫荧光染色,在各种条件下评估了电刺激(ES)的支持作用。此外,还探索了ES与细胞衍生基质(CDM)或三维组织衍生基质(TDM)的联合效应。通过扫描电子显微镜、接触角分析、DNA分析、琼脂糖凝胶电泳以及细胞外基质蛋白对这些基质进行了表征。通过分析基因表达的变化进一步验证了神经分化。以矩形方式施加ES,频率为10 ms,强度为200 mV/cm,每天1小时,持续7天,随后有7天的恢复阶段,结果表明,在二维和三维条件下与脑TDM的联合方法能实现最佳的神经分化。总之,这项工作突出了物理化学和物理机械因素在神经分化中的关键作用,为推进仿生模型和干细胞研究提供了有价值的见解。