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通过构建小鼠器官蛋白质组图谱来定义全身性细菌感染时的宿主反应。

Defining Host Responses during Systemic Bacterial Infection through Construction of a Murine Organ Proteome Atlas.

机构信息

Department of Pharmacology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

Department of Pharmacology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Center for Microbiome Innovation, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

出版信息

Cell Syst. 2018 May 23;6(5):579-592.e4. doi: 10.1016/j.cels.2018.04.010. Epub 2018 May 16.


DOI:10.1016/j.cels.2018.04.010
PMID:29778837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7868092/
Abstract

Group A Streptococcus (GAS) remains one of the top 10 deadliest human pathogens worldwide despite its sensitivity to penicillin. Although the most common GAS infection is pharyngitis (strep throat), it also causes life-threatening systemic infections. A series of complex networks between host and pathogen drive invasive infections, which have not been comprehensively mapped. Attempting to map these interactions, we examined organ-level protein dynamics using a mouse model of systemic GAS infection. We quantified over 11,000 proteins, defining organ-specific markers for all analyzed tissues. From this analysis, an atlas of dynamically regulated proteins and pathways was constructed. Through statistical methods, we narrowed organ-specific markers of infection to 34 from the defined atlas. We show these markers are trackable in blood of infected mice, and a subset has been observed in plasma samples from GAS-infected clinical patients. This proteomics-based strategy provides insight into host defense responses, establishes potentially useful targets for therapeutic intervention, and presents biomarkers for determining affected organs during bacterial infection.

摘要

尽管 A 组链球菌 (GAS) 对青霉素敏感,但它仍是全球十大最致命的人类病原体之一。尽管 GAS 最常见的感染是咽炎(链球菌性喉炎),但它也会引起危及生命的全身性感染。宿主和病原体之间的一系列复杂网络驱动着侵袭性感染,而这些感染尚未得到全面描绘。为了尝试绘制这些相互作用的图谱,我们使用全身性 GAS 感染的小鼠模型研究了器官水平的蛋白质动态。我们定量检测了超过 11000 种蛋白质,为所有分析的组织定义了器官特异性标志物。通过统计方法,我们从定义的图谱中筛选出与感染相关的器官特异性标志物,共 34 种。我们表明,这些标志物在感染小鼠的血液中是可追踪的,其中一部分在 GAS 感染的临床患者的血浆样本中也有观察到。这种基于蛋白质组学的策略为宿主防御反应提供了深入了解,为治疗干预建立了潜在有用的靶点,并为确定细菌感染期间受影响的器官提供了生物标志物。

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本文引用的文献

[1]
Contribution of intercellular adhesion molecule 1 (ICAM-1) to control Mycobacterium avium infection.

Microbes Infect. 2017-9-22

[2]
Detection of dysregulated protein-association networks by high-throughput proteomics predicts cancer vulnerabilities.

Nat Biotechnol. 2017-10

[3]
Phospholipase A Induces the Expression of Adhesion Molecules on Human Umbilical Vein Endothelial Cells and Aorta of Mice.

Front Cell Infect Microbiol. 2017-6-30

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Quantitative Temporal Viromics of an Inducible HIV-1 Model Yields Insight to Global Host Targets and Phospho-Dynamics Associated with Protein Vpr.

Mol Cell Proteomics. 2017-8

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Int J Med Microbiol. 2016-11

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Nat Commun. 2016-1-6

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J Clin Invest. 2016-1

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