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3D生物打印基质中神经网络的多尺度组织

Multiscale Organization of Neural Networks in a 3D Bioprinted Matrix.

作者信息

Yang Huiyu, Zhang Jiangang, Li Yiran, Zhong Zihan, Li Wenhua, Luo Haojun, Liu Yanyong, Ouyang Liujian, Jiang Zhuoran, Sun Yuning, Sun Hang, Liu Lulu, Yang Huayu, Wang Yu, Yang Nan, Ma Wenbin, Mao Yilei

机构信息

Department of Neurosurgery, PUMCH, PUMC & CAMS, Beijing, 100730, China.

Eight-Year Medical Doctor Program, CAMS & PUMC, Beijing, 100730, China.

出版信息

Adv Sci (Weinh). 2025 Aug;12(30):e04455. doi: 10.1002/advs.202504455. Epub 2025 May 28.

DOI:10.1002/advs.202504455
PMID:40434038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12376583/
Abstract

The efficient establishment of in vitro neural models that accurately mimic the structural and functional connectivity of neural networks is critical in neuroscience research. 3D bioprinting shows great potential for constructing sophisticated in vitro models with high freedom of design. However, mature neurons are delicate and susceptible to manipulation. Here, extrusion-based 3D bioprinting is employed to fabricate gelatin methacryloyl (GelMA)-based constructs containing embryonic day 18 (E18) rat cortical neurons, referred to as 3D neuMatrix. 3D neuMatrix displays favorable neuronal viability, with the progressive formation of a 3D brain-like neural network with local and long-range functional axon connections. Compared with 2D cultured neurons, 3D neuMatrix is more similar to the E18 cortex according to the bulk transcriptomic profile, with a recreation of cellular components in the cerebral cortex. The 3D neuMatrix is employed to establish a disease model of ischemic stroke, with a faithful recapitulation of the viability, function, and transcriptomic features of rats with middle cerebral artery occlusion/reperfusion (MCAO/R). These findings demonstrate the formation of multiscale neural circuits within 3D neuMatrix and its valuable potential in the study of neurodevelopment, disease modeling with drug screening, and in vitro intelligence.

摘要

在神经科学研究中,高效建立能够准确模拟神经网络结构和功能连接的体外神经模型至关重要。3D生物打印在构建设计自由度高的复杂体外模型方面显示出巨大潜力。然而,成熟神经元较为脆弱,容易受到操作影响。在此,采用基于挤出的3D生物打印技术来制造含有胚胎第18天(E18)大鼠皮质神经元的甲基丙烯酰化明胶(GelMA)基构建体,称为3D神经基质。3D神经基质具有良好的神经元活力,会逐渐形成具有局部和长程功能性轴突连接的3D脑样神经网络。与二维培养的神经元相比,根据整体转录组学图谱,3D神经基质与E18皮质更相似,重现了大脑皮质中的细胞成分。3D神经基质被用于建立缺血性中风疾病模型,忠实地再现了大脑中动脉闭塞/再灌注(MCAO/R)大鼠的活力、功能和转录组学特征。这些发现证明了3D神经基质内多尺度神经回路的形成及其在神经发育研究、药物筛选疾病建模和体外智能方面的宝贵潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/d25c58aaef04/ADVS-12-e04455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/11d25663eb33/ADVS-12-e04455-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/3fd0daf89b5c/ADVS-12-e04455-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/170882a45a64/ADVS-12-e04455-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/dc759a37366c/ADVS-12-e04455-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/ba837fef16bc/ADVS-12-e04455-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/d25c58aaef04/ADVS-12-e04455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/11d25663eb33/ADVS-12-e04455-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/3fd0daf89b5c/ADVS-12-e04455-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/170882a45a64/ADVS-12-e04455-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/dc759a37366c/ADVS-12-e04455-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/ba837fef16bc/ADVS-12-e04455-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0d/12376583/d25c58aaef04/ADVS-12-e04455-g001.jpg

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