新型隐球菌临床菌株的整体蛋白质组学分析显示潜伏感染和致死感染之间存在显著差异。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-25 DOI:10.1128/msystems.00751-25
Jovany J Betancourt, Jason A McAlister, Jesenia M Perez, David B Meya, Stefani N Thomas, Jennifer Geddes-McAlister, Kirsten Nielsen
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引用次数: 0

摘要

为了预测播散性真菌疾病的结果,需要更深入地了解感染部位的宿主-病原体相互作用,以确定临床干预和诊断发展的目标。新型隐球菌是隐球菌病的病原体,隐球菌病是艾滋病毒感染者最大的传染性杀手。隐球菌感染始于肺部,免疫控制丧失导致弥散性中枢神经系统疾病和死亡。利用先进的基于质谱的蛋白质组学技术,体内感染模型和患者衍生的临床菌株,我们探索了与菌株毒力差异相关的新型C.感染的蛋白质组学特征。我们的研究结果表明,非致命性潜伏感染产生的蛋白质组学反应与致命性感染引起的反应明显不同,尽管死亡时间不同,但典型感染和高毒性感染的蛋白质组学特征明显相似。总的来说,潜伏性感染中的小鼠肺蛋白质组反应是由蛋白质的富集和细胞外基质组织、细胞粘附和结构变化的途径所定义的,而致死性感染则是由宿主防御、翻译和代谢过程主导的。这些结果为不同隐球菌菌株引起的感染如何产生显著不同的结果提供了临床相关信息。我们还发现了丰富的真菌蛋白,可能成为潜在和致命隐球菌感染的未来药物靶点。新型隐球菌是一种真菌病原体,在免疫功能低下的个体中引起大量的发病率和死亡率。最初的感染开始于吸入孢子后的肺部,之后局部免疫细胞通过杀死或遏制真菌细胞作出反应。免疫抑制会削弱免疫系统,使肺部的真菌细胞通过循环系统逃逸,侵入中枢神经系统,导致致命疾病。然而,真菌菌株之间的差异会影响疾病表现的严重程度。我们的小组先前已经描述了导致菌株特异性疾病表现的遗传差异。在这项研究中,我们扩展了我们的分析,以研究不同菌株之间的蛋白质组学差异,以确定有助于疾病表现的候选蛋白质和途径。我们从宿主和病原体蛋白质组学的角度发现潜伏感染与致死性疾病有显著不同,并确定了几个真菌蛋白靶点供未来研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global proteomic analysis of Cryptococcus neoformans clinical strains reveals significant differences between latent and lethal infection.

To predict the outcomes of disseminated fungal disease, a deeper understanding of host-pathogen interactions at the site of infection is needed to identify targets for clinical intervention and diagnostic development. Cryptococcus neoformans is the causative agent of cryptococcosis, the largest infectious killer of individuals living with HIV. Cryptococcal infection begins in the lungs, and loss of immunological control leads to disseminated central nervous system disease and death. Using advanced mass spectrometry-based proteomic techniques, in vivo infection models, and patient-derived clinical strains, we explored the proteomic profiles of C. neoformans infections related to differences in strain virulence. Our findings reveal that non-lethal latent infection produces a proteomic response that differs significantly from the response caused by lethal infections, and that the proteomic profiles of typical and hypervirulent infections are markedly similar despite differences in time-to-death. Overall, the mouse pulmonary proteomic response in latent infection is defined by enrichment of proteins and pathways involved in extracellular matrix organization, cell adhesion, and structural changes, while the lethal infection is dominated by host defense, translation, and metabolic processes. These results provide clinically relevant information on how infections caused by different Cryptococcus strains may produce significantly different outcomes. We also identified abundant fungal proteins that could be future drug targets in latent and lethal cryptococcal infection.IMPORTANCECryptococcus neoformans is a fungal pathogen that causes substantial morbidity and mortality in immunocompromised individuals. The initial infection begins in the lungs after exposure to inhaled spores, after which local immune cells respond by either killing or containing the fungal cells. Immunosuppression weakens the immune system and allows fungal cells in the lungs to escape through the circulatory system and invade the central nervous system and cause fatal disease. However, differences between fungal strains influence the severity of disease manifestation. Our group has previously described genetic differences that contribute to strain-specific disease manifestations. In this study, we expanded our analysis to investigate the proteomic differences between strains of C. neoformans to identify candidate proteins and pathways that contribute to disease manifestation. We found that latent infection differs significantly from lethal disease from both the host and pathogen proteomic perspectives and identified several fungal protein targets for future study.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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