全血蛋白质组动力学定义隐球菌感染的预测性诊断和预后特征。

IF 5.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Michael Woods, Jason A McAlister, Lauren Segeren, Mayara Silva, Jared Deyarmin, Amirmansoor Hakimi, Daniel Hermanson, Jana Richter, Stephanie N Samra, Jennifer Geddes-McAlister
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引用次数: 0

摘要

在全球范围内,真菌通过发展从表面到全身的感染影响着数百万人的生活,而治疗选择有限。为了有效地对抗真菌疾病,需要快速可靠的诊断方法,包括目前使用抗原检测、培养、显微镜和分子工具的方法。然而,这些平台使用非侵入性方法诊断感染和预测疾病结果的灵活性是有限的。在这项研究中,我们应用最先进的基于质谱的蛋白质组学来执行隐球菌感染的双重视角(即宿主和病原体)分析。在感染人类真菌病原体新型隐球菌的小鼠模型后采集全血,检测到约3000种宿主蛋白和160种真菌蛋白。从宿主的角度来看,已知免疫相关蛋白的时间调节,包括嗜酸性粒细胞过氧化物酶和脂钙素-2,以及脂蛋白的抑制,证明了感染和时间依赖性宿主重塑。相反,从病原体的角度来看,已知和假定的毒力相关蛋白被检测到,包括与真菌细胞外囊泡和宿主免疫调节相关的蛋白。我们还观察并验证了一种新的免疫系统对新形梭菌的反应机制,即通过调节触珠蛋白。此外,我们评估了双视角蛋白质组分析对隐球菌感染预后的预测能力,并报告了先前未披露的毒力因子产生、免疫系统调节和个体模型生存之间的整合。总之,我们的研究结果提出了全血隐球菌感染的新生物标志物,并强调了个人蛋白质组谱在确定隐球菌感染预后方面的潜力,这是真菌疾病管理的新参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Whole blood proteome dynamics defines predictive diagnostic and prognostic signatures of cryptococcal infection.

Across the globe, fungi are impacting the lives of millions of people through the development of infections ranging from superficial to systemic with limited treatment options. To effectively combat fungal disease, rapid and reliable diagnostic methods are required, including current methodologies using antigen detection, culturing, microscopy, and molecular tools. However, the flexibility of these platforms to diagnose infection using non-invasive methods and predict the outcome of disease are limited. In this study, we apply state-of-the-art mass spectrometry-based proteomics to perform dual perspective (i.e., host and pathogen) profiling of cryptococcal infection. Whole blood collected over a temporal scale following murine model challenged with the human fungal pathogen, Cryptococcus neoformans, detected >3,000 host proteins and 160 fungal proteins. From the host perspective, temporal regulation of known immune-associated proteins, including eosinophil peroxidase and lipocalin-2, along with suppression of lipoproteins, demonstrated infection- and time-dependent host remodeling. Conversely, from the pathogen perspective, known and putative virulence-associated proteins were detected, including proteins associated with fungal extracellular vesicles and host immune modulation. We also observed and validated a new mechanism of immune system response to C. neoformans through modulation of haptoglobin. Further, we assessed the predictive power of dual perspective proteome profiling toward prognostics of cryptococcal infection and report a previously undisclosed integration among virulence factor production, immune system modulation, and individual model survival. Together, our findings pose novel biomarkers of cryptococcal infection from whole blood and highlight the potential of personal proteome profiles to determine the prognosis of cryptococcal infection, a new parameter in fungal disease management.

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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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