流感病毒感染中支持疾病耐受性和耐药性的独特基因程序。

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Systems Pub Date : 2022-12-21 DOI:10.1016/j.cels.2022.11.004
Ofir Cohn, Gal Yankovitz, Naama Peshes-Yaloz, Yael Steuerman, Amit Frishberg, Rachel Brandes, Michal Mandelboim, Jennifer R Hamilton, Tzachi Hagai, Ido Amit, Mihai G Netea, Nir Hacohen, Fuad A Iraqi, Eran Bacharach, Irit Gat-Viks
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引用次数: 0

摘要

当受到入侵病原体的挑战时,宿主防御反应参与消除病原体(抗性)并在病原体存在时保持健康(疾病耐受性)。然而,对支持疾病耐受性和耐药性的不同分子程序的鉴定仍然模糊不清。在流感病毒体内感染期间,我们对33种小鼠品系进行转录和生理监测,以确定两种宿主防御基因程序——一种与疾病耐受性标志相关,另一种与耐药性标志相关。这两个程序构成了多种小鼠和人类细胞类型的通用反应。我们的研究描述了这些程序的组织原则,并验证了Arhgdia作为上皮细胞疾病耐受性状态的调节剂。我们进一步揭示,腹膜巨噬细胞的基线疾病耐受状态与损伤和感染的病理生理反应有关。我们的框架为在分子水平上理解疾病耐受性和耐药性提供了一个范例。
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Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection.

When challenged with an invading pathogen, the host-defense response is engaged to eliminate the pathogen (resistance) and to maintain health in the presence of the pathogen (disease tolerance). However, the identification of distinct molecular programs underpinning disease tolerance and resistance remained obscure. We exploited transcriptional and physiological monitoring across 33 mouse strains, during in vivo influenza virus infection, to identify two host-defense gene programs-one is associated with hallmarks of disease tolerance and the other with hallmarks of resistance. Both programs constitute generic responses in multiple mouse and human cell types. Our study describes the organizational principles of these programs and validates Arhgdia as a regulator of disease-tolerance states in epithelial cells. We further reveal that the baseline disease-tolerance state in peritoneal macrophages is associated with the pathophysiological response to injury and infection. Our framework provides a paradigm for the understanding of disease tolerance and resistance at the molecular level.

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来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
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