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A novel microfluidic drug discovery platform for studying communication between synaptically connected neural networks

机译:用于研究突触连接的神经网络之间的通信的新型微流控药物发现平台

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摘要

Aims: Many in-vitro systems used during pre-clinical trials fail to recreate the biological complexity of the in-vivo neural microenvironment. Taking advantage of recent advances in microfluidic technology, we seek to develop a perfusion based drug discovery platform that is capable of high-throughput pharmacological profiling. This in turn will allow us to better understand how drugs influence the communication between functionally connected neural networks. Methods: Mixed primary hippocampal networks were grown in microfluidic devices with environmentally separated chambers that allow synaptic connections to be formed with each other via an array of microchannels. The perfusion of multiple compounds in one chamber was achieved using computer controlled fluid actuation connected to the inlets/outlets of the microfluidic device. Responses to perfusates from directly stimulated neurons and those synaptically connected were recorded using calcium imaging. Results: Following live/dead assays, a flow rate of 4μl min-1 showed the greatest cell viability and was used for subsequent experiments. Subsequently, a glutamate concentration response curve following direct stimulation was obtained which revealed an EC50 = 4μM. Pharmacological manipulation of neuronal activity was also achieved as the neuronal response to glutamate was reversibly reduced in the presence of ionotropic glutamatergic antagonists. Furthermore, repeated glutamate perfusions induced increasing levels of activity in the adjacent, naïve neural network. Conclusion: The proposed microfluidic system is able to reliably produce pharmacological profiles for drugs in a neurological setting. The novelty of the presented drug discovery platform is its ability to not only determine the properties of a new drug, but how the drug influences communication between neural networks.
机译:目的:许多临床前试验中使用的体外系统无法重现体内神经微环境的生物学复杂性。利用微流体技术的最新进展,我们寻求开发一种基于灌注的药物发现平台,该平台能够进行高通量药理学分析。反过来,这将使我们能够更好地理解药物如何影响功能连接的神经网络之间的通信。方法:混合的初级海马网络在具有环境隔离室的微流控设备中生长,这些室允许通过一系列微通道相互形成突触连接。使用连接到微流控设备入口/出口的计算机控制的流体致动,可以在一个腔室中灌注多种化合物。使用钙成像记录直接刺激的神经元和突触连接的神经对灌注液的反应。结果:经过活/死分析,流速为4μlmin-1表现出最大的细胞活力,并用于后续实验。随后,获得了直接刺激后的谷氨酸盐浓度响应曲线,揭示了EC50 =4μM。在存在离子型谷氨酸能拮抗剂的情况下,由于对谷氨酸的神经元反应可逆地降低,因此也实现了对神经元活性的药理学控制。此外,重复的谷氨酸灌注导致邻近的幼稚神经网络中活动水平的增加。结论:拟议的微流控系统能够在神经系统环境中可靠地产生药物的药理学特征。提出的药物发现平台的新颖性在于它不仅能够确定新药物的性质,而且还能确定药物如何影响神经网络之间的通信。

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    MacKerron Christopher;

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