Alam El Din Dowlette-Mary, Shin Jeongwon, Lysinger Alexandra, Roos Matthew J, Johnson Erik C, Shafer Timothy J, Hartung Thomas, Smirnova Lena
Center for Alternatives to Animal Testing, Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.
Front Cell Neurosci. 2024 Oct 8;18:1480845. doi: 10.3389/fncel.2024.1480845. eCollection 2024.
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 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 assays. Finally, the integration of artificial intelligence (AI) techniques will further facilitate the analysis of complex brain organoid data to study these plasticity mechanisms.
神经发育障碍患病率的不断上升凸显了改进检测方法的必要性，以便确定数千种化学物质的发育神经毒性（DNT）危害。本文提出将类器官智能（OI）整合到DNT测试范式中；利用脑类器官来研究神经可塑性。OI带来了一种新方法，用于测量异种生物对可塑性机制的影响——这是一个在当前DNT检测中未得到充分涵盖的关键生物学过程。最后，人工智能（AI）技术的整合将进一步促进对复杂脑类器官数据的分析，以研究这些可塑性机制。
