Suppr超能文献

解析真菌感染过程中的脾脏蛋白质组以发现潜在的双重角度生物标志物特征。

Resolving the Temporal Splenic Proteome during Fungal Infection for Discovery of Putative Dual Perspective Biomarker Signatures.

机构信息

Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario N1G 2W1, Canada.

Proteomics platform, CHU de Québec - Université Laval Research Center, Québec City, Québec G1 V 4G2, Canada.

出版信息

J Am Soc Mass Spectrom. 2023 Sep 6;34(9):1928-1940. doi: 10.1021/jasms.3c00114. Epub 2023 May 24.

Abstract

Fungal pathogens are emerging threats to global health with the rise of incidence associated with climate change and increased geographical distribution; factors also influencing host susceptibility to infection. Accurate detection and diagnosis of fungal infections is paramount to offer rapid and effective therapeutic options. For improved diagnostics, the discovery and development of protein biomarkers presents a promising avenue; however, this approach requires knowledge of infection hallmarks. To uncover putative novel biomarkers of disease, profiling of the host immune response and pathogen virulence factor production is indispensable. In this study, we use mass-spectrometry-based proteomics to resolve the temporal proteome of infection of the spleen following a murine model of infection. Dual perspective proteome profiling defines global remodeling of the host over a time course of infection, confirming activation of immune associated proteins in response to fungal invasion. Conversely, pathogen proteomes detect well-characterized virulence determinants, along with novel mapped patterns of pathogenesis during the progression of disease. Together, our innovative systematic approach confirms immune protection against fungal pathogens and explores the discovery of putative biomarker signatures from complementary biological systems to monitor the presence and progression of cryptococcal disease.

摘要

真菌病原体是全球健康的新兴威胁,其发病率随着气候变化和地理分布的增加而上升;这些因素也影响着宿主对感染的易感性。准确检测和诊断真菌感染至关重要,可以提供快速有效的治疗选择。为了改善诊断,发现和开发蛋白质生物标志物是一个很有前途的途径;然而,这种方法需要了解感染的特征。为了发现疾病的潜在新型生物标志物,对宿主免疫反应和病原体毒力因子产生的分析是必不可少的。在这项研究中,我们使用基于质谱的蛋白质组学来解析感染后小鼠脾脏感染的时间蛋白质组。双重视角蛋白质组分析定义了宿主在感染过程中的整体重构,证实了免疫相关蛋白在真菌入侵时的激活。相反,病原体蛋白质组可以检测到特征明确的毒力决定因素,以及疾病进展过程中新型发病模式。总的来说,我们的创新系统方法证实了宿主对真菌病原体的免疫保护,并探索了从互补的生物系统中发现潜在生物标志物特征的方法,以监测隐球菌病的存在和进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a11/10487597/56d06466f8e2/js3c00114_0001.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