Suppr超能文献

IFN-γ 对体内巨噬细胞的免疫启动诱导 STAT1 结合的持久性并抵抗新型隐球菌。

IFN-γ immune priming of macrophages in vivo induces prolonged STAT1 binding and protection against Cryptococcus neoformans.

机构信息

Department of Biology, The University of Texas at San Antonio, San Antonio, TX, United States of America.

The South Texas Center for Emerging Infectious Diseases, The University of Texas at San Antonio, San Antonio, TX, United States of America.

出版信息

PLoS Pathog. 2018 Oct 10;14(10):e1007358. doi: 10.1371/journal.ppat.1007358. eCollection 2018 Oct.

Abstract

Development of vaccines against opportunistic infections is difficult as patients most at risk of developing disease are deficient in aspects of the adaptive immune system. Here, we utilized an experimental immunization strategy to induce innate memory in macrophages in vivo. Unlike current trained immunity models, we present an innate memory-like phenotype in macrophages that is maintained for at least 70 days post-immunization and results in complete protection against secondary challenge in the absence of adaptive immune cells. RNA-seq analysis of in vivo IFN-γ primed macrophages revealed a rapid up-regulation of IFN-γ and STAT1 signaling pathways following secondary challenge. The enhanced cytokine recall responses appeared to be pathogen-specific, dependent on changes in histone methylation and acetylation, and correlated with increased STAT1 binding to promoter regions of genes associated with protective anti-fungal immunity. Thus, we demonstrate an alternative mechanism to induce macrophage innate memory in vivo that facilitates pathogen-specific vaccine-mediated immune responses.

摘要

针对机会性感染的疫苗开发具有一定难度,因为最容易患病的患者在适应性免疫系统方面存在缺陷。在这里,我们利用一种实验性免疫策略在体内诱导巨噬细胞固有记忆。与当前的训练免疫模型不同,我们在巨噬细胞中呈现出一种类似固有记忆的表型,这种表型至少能维持 70 天,并且在没有适应性免疫细胞的情况下,能完全防止二次攻击。对体内 IFN-γ 引发的巨噬细胞进行 RNA-seq 分析显示,在二次挑战后,IFN-γ 和 STAT1 信号通路迅速上调。增强的细胞因子回忆反应似乎具有病原体特异性,依赖于组蛋白甲基化和乙酰化的变化,并与与保护性抗真菌免疫相关的基因的 STAT1 结合到启动子区域增加相关。因此,我们证明了一种在体内诱导巨噬细胞固有记忆的替代机制,该机制有助于针对病原体的疫苗介导免疫反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05d1/6197699/1175133f8a2e/ppat.1007358.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