Suppr超能文献

一种用于模拟脑部病变和筛选血脑屏障穿透治疗策略的人脑芯片。

A Human Brain-Chip for Modeling Brain Pathologies and Screening Blood-Brain Barrier Crossing Therapeutic Strategies.

作者信息

Chim Shek Man, Howell Kristen, Kokkosis Alexandros, Zambrowicz Brian, Karalis Katia, Pavlopoulos Elias

机构信息

Human Systems, Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA.

Velocigene, Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA.

出版信息

Pharmaceutics. 2024 Oct 10;16(10):1314. doi: 10.3390/pharmaceutics16101314.

Abstract

The limited translatability of preclinical experimental findings to patients remains an obstacle for successful treatment of brain diseases. Relevant models to elucidate mechanisms behind brain pathogenesis, including cell-specific contributions and cell-cell interactions, and support successful targeting and prediction of drug responses in humans are urgently needed, given the species differences in brain and blood-brain barrier (BBB) functions. Human microphysiological systems (MPS), such as Organ-Chips, are emerging as a promising approach to address these challenges. Here, we examined and advanced a Brain-Chip that recapitulates aspects of the human cortical parenchyma and the BBB in one model. We utilized human primary astrocytes and pericytes, human induced pluripotent stem cell (hiPSC)-derived cortical neurons, and hiPSC-derived brain microvascular endothelial-like cells and included for the first time on-chip hiPSC-derived microglia. Using Tumor necrosis factor alpha (TNFα) to emulate neuroinflammation, we demonstrate that our model recapitulates in vivo-relevant responses. Importantly, we show microglia-derived responses, highlighting the Brain-Chip's sensitivity to capture cell-specific contributions in human disease-associated pathology. We then tested BBB crossing of human transferrin receptor antibodies and conjugated adeno-associated viruses. We demonstrate successful in vitro/in vivo correlation in identifying crossing differences, underscoring the model's capacity as a screening platform for BBB crossing therapeutic strategies and ability to predict in vivo responses. These findings highlight the potential of the Brain-Chip as a reliable and time-efficient model to support therapeutic development and provide mechanistic insights into brain diseases, adding to the growing evidence supporting the value of MPS in translational research and drug discovery.

摘要

临床前实验结果在患者中的可翻译性有限,仍然是成功治疗脑部疾病的一个障碍。鉴于大脑和血脑屏障(BBB)功能的物种差异,迫切需要相关模型来阐明脑发病机制背后的机制,包括细胞特异性贡献和细胞间相互作用,并支持人类药物反应的成功靶向和预测。人类微生理系统(MPS),如器官芯片,正成为应对这些挑战的一种有前途的方法。在这里,我们研究并改进了一种脑芯片,该芯片在一个模型中概括了人类皮质实质和血脑屏障的各个方面。我们使用了人类原代星形胶质细胞和周细胞、人类诱导多能干细胞(hiPSC)衍生的皮质神经元以及hiPSC衍生的脑微血管内皮样细胞,并首次在芯片上纳入了hiPSC衍生的小胶质细胞。使用肿瘤坏死因子α(TNFα)模拟神经炎症,我们证明我们的模型概括了体内相关反应。重要的是,我们展示了小胶质细胞衍生的反应,突出了脑芯片在捕获人类疾病相关病理学中细胞特异性贡献方面的敏感性。然后,我们测试了人转铁蛋白受体抗体和缀合腺相关病毒的血脑屏障穿越情况。我们证明在识别穿越差异方面成功实现了体外/体内相关性,强调了该模型作为血脑屏障穿越治疗策略筛选平台的能力以及预测体内反应的能力。这些发现突出了脑芯片作为支持治疗开发的可靠且省时的模型的潜力,并为脑部疾病提供了机制性见解,进一步证明了微生理系统在转化研究和药物发现中的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fbd/11510380/c441395a0230/pharmaceutics-16-01314-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验