Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Miyagi, Japan.
Addict Biol. 2024 Oct;29(10):e13443. doi: 10.1111/adb.13443.
Addiction is known to occur through the consumption of substances such as pharmaceuticals, illicit drugs, food, alcohol and tobacco. These addictions can be viewed as drug addiction, resulting from the ingestion of chemical substances contained in them. Multiple neural networks, including the reward system, anti-reward/stress system and central immune system in the brain, are believed to be involved in the onset of drug addiction. Although various compound evaluations using microelectrode array (MEA) as an in vitro testing methods to evaluate neural activities have been conducted, methods for assessing addiction have not been established. In this study, we aimed to develop an in vitro method for assessing the addiction of compounds, as an alternative to animal experiments, using human iPS cell-derived dopaminergic neurons with MEA measurements. MEA data before and after chronic exposure revealed specific changes in addictive compounds compared to non-addictive compounds, demonstrating the ability to estimate addiction of compound. Additionally, conducting gene expression analysis on cultured samples after the tests revealed changes in the expression levels of various receptors (nicotine, dopamine and GABA) due to chronic administration of addictive compounds, suggesting the potential interpretation of these expression changes as addiction-like responses in MEA measurements. The addiction assessment method using MEA measurements in human iPS cell-derived dopaminergic neurons conducted in this study proves effective in evaluating addiction of compounds on human neural networks.
成瘾被认为是通过消费药物、非法药物、食物、酒精和烟草等物质而发生的。这些成瘾可以被视为药物成瘾,是由它们所含的化学物质摄入引起的。大脑中的多个神经网络,包括奖励系统、抗奖励/应激系统和中枢免疫系统,被认为与药物成瘾的发生有关。虽然已经使用微电极阵列(MEA)作为体外测试方法进行了各种化合物的评估,但尚未建立评估成瘾的方法。在这项研究中,我们旨在开发一种使用 MEA 测量的人诱导多能干细胞衍生的多巴胺能神经元来评估化合物成瘾的体外方法,作为动物实验的替代方法。与非成瘾性化合物相比,慢性暴露前后的 MEA 数据显示出成瘾性化合物的特定变化,表明能够估计化合物的成瘾性。此外,在测试后对培养样本进行基因表达分析显示,由于成瘾性化合物的慢性给药,各种受体(尼古丁、多巴胺和 GABA)的表达水平发生变化,这表明这些表达变化可以作为 MEA 测量中的类似成瘾反应进行解释。本研究中使用人诱导多能干细胞衍生的多巴胺能神经元进行 MEA 测量的成瘾评估方法,可有效评估化合物对人类神经网络的成瘾性。