宿主反应的多组学特征与肠球菌菌血症的存在、类型和结果相关。

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-01-21 DOI:10.1128/msystems.01471-24
Charlie Bayne, Dominic McGrosso, Concepcion Sanchez, Leigh-Ana Rossitto, Maxwell Patterson, Carlos Gonzalez, Courtney Baus, Cecilia Volk, Haoqi Nina Zhao, Pieter Dorrestein, Victor Nizet, George Sakoulas, David J Gonzalez, Warren Rose
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引用次数: 0

摘要

尽管肠球菌菌血症(EcB)的流行和严重程度,但系统宿主对该疾病反应的机制尚不清楚。在这里,我们提出了一项广泛的研究,利用无偏倚的多组学方法分析了欧洲央行患者血浆中的分子差异。我们对105份血浆样本进行了鸟枪蛋白质组学和代谢组学分析,包括来自欧洲央行患者和健康志愿者的血浆样本。在健康志愿者和感染了eb病毒的患者样本之间进行比较,发现在参与急性期反应、炎症过程和胆汁淤积的蛋白质和代谢物方面存在显著差异。有几个特征非常准确地区分了这两类人。交叉对照EcB特征与金黄色葡萄球菌菌血症的特征显示胆固醇代谢蛋白的共同减少和血小板α颗粒和中性粒细胞相关蛋白的不同反应。从患者身上提取的肠球菌分离物的特征有助于对粪肠球菌和屎肠球菌引起的EcB进行细微的比较,揭示了粪肠球菌病例中免疫球蛋白丰度的降低以及能够区分潜在微生物的特征。利用广泛的患者元数据,我们现在已经确定了与死亡率或生存率相关的特征,揭示了显著的多组学差异,并确定了富组氨酸糖蛋白和胎儿蛋白b作为能够以极高的准确性区分生存状态的特征。总之,本研究旨在最终建立客观的风险分层算法,这是加强患者管理和护理的关键一步。为了方便探索这一丰富的数据源,我们在https://gonzalezlab.shinyapps.io/EcB_multiomics/.Importance上提供了一个用户友好的界面:肠球菌感染已成为第二大常见的医院感染,肠球菌菌血症(EcB)每年导致数千名患者死亡。为了解决对EcB特异性全身反应缺乏详细了解的问题,我们对患者血浆中观察到的全身宿主反应进行了全面的多组学评估。我们的研究结果揭示了与感染、物种差异和生存结果相关的代谢组和蛋白质组的显著特征。我们确定了能够区分EcB感染和健康状态以及生存和死亡的特征,具有很高的准确性,这表明了潜在的实际临床应用价值。然而,我们的研究也证实,区分粪肠球菌和粪肠球菌EcB的系统性特征只有中等程度的区分准确性,不太可能在目前的诊断方法上有显著提高。比较由肠球菌和金黄色葡萄球菌引起的菌血症与健康样本的血浆蛋白质组差异表明,除了保守的炎症反应外,还存在细菌特异性反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-omic signatures of host response associated with presence, type, and outcome of enterococcal bacteremia.

Despite the prevalence and severity of enterococcal bacteremia (EcB), the mechanisms underlying systemic host responses to the disease remain unclear. Here, we present an extensive study that profiles molecular differences in plasma from EcB patients using an unbiased multi-omics approach. We performed shotgun proteomics and metabolomics on 105 plasma samples, including those from EcB patients and healthy volunteers. Comparison between healthy volunteer and EcB-infected patient samples revealed significant disparities in proteins and metabolites involved in the acute phase response, inflammatory processes, and cholestasis. Several features distinguish these two groups with remarkable accuracy. Cross-referencing EcB signatures with those of Staphylococcus aureus bacteremia revealed shared reductions in cholesterol metabolism proteins and differing responses in platelet alpha granule and neutrophil-associated proteins. Characterization of Enterococcus isolates derived from patients facilitated a nuanced comparison between EcB caused by Enterococcus faecalis and Enterococcus faecium, uncovering reduced immunoglobulin abundances in E. faecium cases and features capable of distinguishing the underlying microbe. Leveraging extensive patient metadata, we now have identified features associated with mortality or survival, revealing significant multi-omic differences and pinpointing histidine-rich glycoprotein and fetuin-B as features capable of distinguishing survival status with excellent accuracy. Altogether, this study aims to culminate in the creation of objective risk stratification algorithms-a pivotal step toward enhancing patient management and care. To facilitate the exploration of this rich data source, we provide a user-friendly interface at https://gonzalezlab.shinyapps.io/EcB_multiomics/.

Importance: Enterococcus infections have emerged as the second most common nosocomial infection, with enterococcal bacteremia (EcB) contributing to thousands of patient deaths annually. To address a lack of detailed understanding regarding the specific systemic response to EcB, we conducted a comprehensive multi-omic evaluation of the systemic host response observed in patient plasma. Our findings reveal significant features in the metabolome and proteome associated with the presence of infection, species differences, and survival outcome. We identified features capable of discriminating EcB infection from healthy states and survival from mortality with excellent accuracy, suggesting potential practical clinical utility. However, our study also established that systemic features to distinguish Enterococcus faecalis from Enterococcus faecium EcB show only a moderate degree of discriminatory accuracy, unlikely to significantly improve upon current diagnostic methods. Comparisons of differences in the plasma proteome relative to healthy samples between bacteremia caused by Enterococcus and Staphylococcus aureus suggest the presence of bacteria-specific responses alongside conserved inflammatory reactions.

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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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