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使用二维和三维多能干细胞模型研究嗜神经病毒。

Using 2D and 3D pluripotent stem cell models to study neurotropic viruses.

作者信息

LaNoce Emma, Dumeng-Rodriguez Jeriel, Christian Kimberly M

机构信息

Mahoney Institute for Neurosciences, Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Developmental, Stem Cell and Regenerative Biology Program, Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

Front Virol. 2022;2. doi: 10.3389/fviro.2022.869657. Epub 2022 Jul 29.

Abstract

Understanding the impact of viral pathogens on the human central nervous system (CNS) has been challenging due to the lack of viable human CNS models for controlled experiments to determine the causal factors underlying pathogenesis. Human embryonic stem cells (ESCs) and, more recently, cellular reprogramming of adult somatic cells to generate human induced pluripotent stem cells (iPSCs) provide opportunities for directed differentiation to neural cells that can be used to evaluate the impact of known and emerging viruses on neural cell types. Pluripotent stem cells (PSCs) can be induced to neural lineages in either two- (2D) or three-dimensional (3D) cultures, each bearing distinct advantages and limitations for modeling viral pathogenesis and evaluating effective therapeutics. Here we review the current state of technology in stem cell-based modeling of the CNS and how these models can be used to determine viral tropism and identify cellular phenotypes to investigate virus-host interactions and facilitate drug screening. We focus on several viruses (e.g., human immunodeficiency virus (HIV), herpes simplex virus (HSV), Zika virus (ZIKV), human cytomegalovirus (HCMV), SARS-CoV-2, West Nile virus (WNV)) to illustrate key advantages, as well as challenges, of PSC-based models. We also discuss how human PSC-based models can be used to evaluate the safety and efficacy of therapeutic drugs by generating data that are complementary to existing preclinical models. Ultimately, these efforts could facilitate the movement towards personalized medicine and provide patients and physicians with an additional source of information to consider when evaluating available treatment strategies.

摘要

由于缺乏可行的人类中枢神经系统模型用于进行对照实验以确定发病机制的因果因素,了解病毒病原体对人类中枢神经系统(CNS)的影响一直具有挑战性。人类胚胎干细胞(ESCs),以及最近通过对成人体细胞进行细胞重编程以产生人类诱导多能干细胞(iPSCs),为定向分化为神经细胞提供了机会,这些神经细胞可用于评估已知和新出现的病毒对神经细胞类型的影响。多能干细胞(PSCs)可以在二维(2D)或三维(3D)培养中被诱导分化为神经谱系,每种培养方式在模拟病毒发病机制和评估有效治疗方法方面都有各自独特的优点和局限性。在这里,我们回顾了基于干细胞的中枢神经系统建模技术的现状,以及这些模型如何用于确定病毒嗜性和识别细胞表型,以研究病毒 - 宿主相互作用并促进药物筛选。我们重点关注几种病毒(例如,人类免疫缺陷病毒(HIV)、单纯疱疹病毒(HSV)、寨卡病毒(ZIKV)、人类巨细胞病毒(HCMV)、严重急性呼吸综合征冠状病毒2(SARS-CoV-2)、西尼罗河病毒(WNV)),以说明基于PSC模型的关键优势以及挑战。我们还讨论了基于人类PSC的模型如何通过生成与现有临床前模型互补的数据来评估治疗药物的安全性和有效性。最终,这些努力可以促进向个性化医学的发展,并为患者和医生在评估可用治疗策略时提供额外的信息来源以供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a575/9624474/058d1ccb04c8/nihms-1844777-f0001.jpg

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