Organoid intelligence for developmental neurotoxicity testing

被引：1
作者：
El Din, Dowlette-Mary Alam [1 ]
Shin, Jeongwon [2 ]
Lysinger, Alexandra [1 ]
Roos, Matthew J. [3 ]
Johnson, Erik C. [3 ]
Shafer, Timothy J. [4 ]
Hartung, Thomas [1 ,5 ,6 ]
Smirnova, Lena [1 ]
机构：
[1] Johns Hopkins Univ, Ctr Alternat Anim Testing, Bloomberg Sch Publ Hlth, Dept Environm Hlth & Engn, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD USA
[3] Johns Hopkins Univ, Appl Phys Lab, Res & Exploratory Dev Dept, Laurel, MD USA
[4] US Environm Protect Agcy, Ctr Computat Toxicol & Exposure Off Res & Dev, Res Triangle Pk, NC USA
[5] Univ Konstanz, Ctr Alternat Anim Testing Europe, Constance, Germany
[6] Doerenkamp Zbinden Chair Evidence Based Toxicol, Baltimore, MD USA
来源：
FRONTIERS IN CELLULAR NEUROSCIENCE | 2024年 / 18卷
基金：
美国国家卫生研究院;
关键词：
organoid; organoid intelligence; developmental neurotoxicity; artificial intelligence; machine learning; synaptic plasiticity; PLURIPOTENT STEM-CELLS; NEURONS; PREVALENCE; SPHEROIDS; CHEMICALS; NETWORKS; DYNAMICS;
D O I：
10.3389/fncel.2024.1480845
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
The increasing prevalence of neurodevelopmental disorders has highlighted the need for improved testing methods to determine developmental neurotoxicity (DNT) hazard for thousands of chemicals. This paper proposes the integration of organoid intelligence (OI); leveraging brain organoids to study neuroplasticity in vitro, into the DNT testing paradigm. OI brings a new approach to measure the impacts of xenobiotics on plasticity mechanisms - a critical biological process that is not adequately covered in current DNT in vitro assays. Finally, the integration of artificial intelligence (AI) techniques will further facilitate the analysis of complex brain organoid data to study these plasticity mechanisms.
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页数：9
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