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定义神经元网络发育中的毒理学转折点。

Defining toxicological tipping points in neuronal network development.

机构信息

Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, EPA, Research Triangle Park, NC, USA.

National Center for Computational Toxicology, EPA, Research Triangle Park, NC, USA.

出版信息

Toxicol Appl Pharmacol. 2018 Sep 1;354:81-93. doi: 10.1016/j.taap.2018.01.017. Epub 2018 Feb 3.

Abstract

Measuring electrical activity of neural networks by microelectrode array (MEA) has recently shown promise for screening level assessments of chemical toxicity on network development and function. Important aspects of interneuronal communication can be quantified from a single MEA recording, including individual firing rates, coordinated bursting, and measures of network synchrony, providing rich datasets to evaluate chemical effects. Further, multiple recordings can be made from the same network, including during the formation of these networks in vitro. The ability to perform multiple recording sessions over the in vitro development of network activity may provide further insight into developmental effects of neurotoxicants. In the current study, a recently described MEA-based screen of 86 compounds in primary rat cortical cultures over 12 days in vitro was revisited to establish a framework that integrates all available primary measures of electrical activity from MEA recordings into a composite metric for deviation from normal activity (total scalar perturbation). Examining scalar perturbations over time and increasing concentration of compound allowed for definition of critical concentrations or "tipping points" at which the neural networks switched from recovery to non-recovery trajectories for 42 compounds. These tipping point concentrations occurred at predominantly lower concentrations than those causing overt cell viability loss or disrupting individual network parameters, suggesting tipping points may be a more sensitive measure of network functional loss. Comparing tipping points for six compounds with plasma concentrations known to cause developmental neurotoxicity in vivo demonstrated strong concordance and suggests there is potential for using tipping points for chemical prioritization.

摘要

通过微电极阵列 (MEA) 测量神经网络的电活动,最近在化学毒性对网络发育和功能的筛选水平评估方面显示出了前景。从单个 MEA 记录中可以定量测量中间神经元通讯的重要方面,包括个体放电率、协调爆发和网络同步性的测量,为评估化学效应提供了丰富的数据集。此外,还可以从同一个网络中进行多次记录,包括在体外形成这些网络的过程中。在体外网络活动发育过程中进行多次记录的能力可能会进一步深入了解神经毒性剂的发育效应。在当前的研究中,重新研究了在原代大鼠皮质培养物中进行的基于 MEA 的 86 种化合物的筛选,以建立一种框架,将所有可用的 MEA 记录中的电活动的基本测量值整合到一个偏离正常活动的综合指标中(总标量扰动)。通过检查随时间推移的标量扰动和化合物浓度的增加,确定了 42 种化合物的关键浓度或“转折点”,在这些转折点,神经网络从恢复轨迹转变为非恢复轨迹。这些转折点浓度主要出现在比引起明显细胞活力丧失或破坏单个网络参数的浓度更低的浓度下,这表明转折点可能是网络功能丧失的更敏感的测量值。比较六个化合物的转折点与体内已知引起发育神经毒性的血浆浓度,结果显示出很强的一致性,这表明使用转折点进行化学优先排序具有潜力。

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