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基于人多能干细胞的平台,用于研究 SARS-CoV-2 嗜性和人类细胞及类器官中的病毒感染模型。

A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids.

机构信息

Department of Surgery, Weill Cornell Medicine, 1300 York Ave, New York, NY 10065, USA.

Department of Microbiology, Icahn School of Medicine at Mount Sinai. 1468 Madison Ave. New York, NY 10029, USA.

出版信息

Cell Stem Cell. 2020 Jul 2;27(1):125-136.e7. doi: 10.1016/j.stem.2020.06.015. Epub 2020 Jun 19.

Abstract

SARS-CoV-2 has caused the COVID-19 pandemic. There is an urgent need for physiological models to study SARS-CoV-2 infection using human disease-relevant cells. COVID-19 pathophysiology includes respiratory failure but involves other organ systems including gut, liver, heart, and pancreas. We present an experimental platform comprised of cell and organoid derivatives from human pluripotent stem cells (hPSCs). A Spike-enabled pseudo-entry virus infects pancreatic endocrine cells, liver organoids, cardiomyocytes, and dopaminergic neurons. Recent clinical studies show a strong association with COVID-19 and diabetes. We find that human pancreatic beta cells and liver organoids are highly permissive to SARS-CoV-2 infection, further validated using adult primary human islets and adult hepatocyte and cholangiocyte organoids. SARS-CoV-2 infection caused striking expression of chemokines, as also seen in primary human COVID-19 pulmonary autopsy samples. hPSC-derived cells/organoids provide valuable models for understanding the cellular responses of human tissues to SARS-CoV-2 infection and for disease modeling of COVID-19.

摘要

SARS-CoV-2 引发了 COVID-19 大流行。目前迫切需要使用与人类疾病相关的细胞来建立生理模型以研究 SARS-CoV-2 感染。COVID-19 病理生理学包括呼吸衰竭,但还涉及包括肠道、肝脏、心脏和胰腺在内的其他器官系统。我们提出了一个由人类多能干细胞(hPSC)的细胞和类器官衍生物组成的实验平台。一种启用 Spike 的假进入病毒感染胰腺内分泌细胞、肝类器官、心肌细胞和多巴胺能神经元。最近的临床研究表明,COVID-19 与糖尿病之间存在很强的关联。我们发现人类胰腺β细胞和肝类器官对 SARS-CoV-2 感染高度易感,使用成人原代人胰岛以及成人肝细胞和胆管细胞类器官进一步验证了这一点。SARS-CoV-2 感染引起趋化因子的显著表达,这在原发性人 COVID-19 肺尸检样本中也有观察到。hPSC 衍生的细胞/类器官为理解 SARS-CoV-2 感染对人体组织的细胞反应以及 COVID-19 的疾病建模提供了有价值的模型。

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