Analysis of antibiotic response in Clinical Wound Pseudomonas aeruginosa isolates: Unveiling Proteome Dynamics of tobramycin tolerant phenotype.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2024-10-16 DOI:10.1016/j.mcpro.2024.100861
Kasandra Buchholtz, Rosa Jersie-Christensen, Karen Angeliki Krogfelt, Biljana Mojsoska
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Abstract

Pseudomonas aeruginosa (P. aeruginosa) is an opportunistic human pathogen, causing serious chronic infections. P. aeruginosa can adapt efficiently to antibiotic stressors via different genotypic or phenotypic strategies such as resistance and tolerance. The adaptation regulatory system is not always very well understood. In this study, we use shotgun proteomics to investigate the system-level response to tobramycin in two clinical wound P. aeruginosa isolates and PAO1. We profiled each strain for its antibiotic drug-tolerant phenotype using supra-minimum inhibitory concentrations (supra-MIC) of tobramycin and applied proteomics to investigate the protein expression profiles. The MIC revealed that all isolates were susceptible to tobramycin but at supra-MIC concentrations at stationary growth, a degree of tolerance was observed for the isolates. We identified around 40 % of the total proteins encoded by the P. aeruginosa genome and highlighted shared and unique protein signatures for all isolates. Comparative proteome profiling in the absence of antibiotic treatment showed divergent fingerprints, despite similarities in the growth behavior of the isolates. In the presence of tobramycin, the isolates shared a common response in the downregulation of proteins involved in the two-component system, whereas stress response proteins were present at higher levels. Our findings provide insight into the use of proteomic tools to dissect the system-level response in clinical isolates in the absence and presence of antibiotic stress.

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临床伤口铜绿假单胞菌分离物的抗生素反应分析:揭示妥布霉素耐受表型的蛋白质组动力学。
铜绿假单胞菌(P. aeruginosa)是一种机会性人类病原体,可导致严重的慢性感染。铜绿假单胞菌可通过不同的基因型或表型策略(如耐药性和耐受性)有效地适应抗生素压力源。但人们对其适应调控系统并不十分了解。在本研究中,我们利用枪式蛋白质组学研究了两株临床伤口铜绿假单胞菌分离株和 PAO1 对托布霉素的系统级响应。我们使用超最低抑菌浓度(supra-MIC)的妥布霉素分析了每个菌株的抗生素耐药表型,并应用蛋白质组学研究了蛋白质表达谱。最低抑菌浓度显示,所有分离菌株都对妥布霉素敏感,但在静止生长的超最低抑菌浓度下,分离菌株出现了一定程度的耐药性。我们鉴定了铜绿微囊藻基因组编码的全部蛋白质中的约 40%,并强调了所有分离菌株共有和特有的蛋白质特征。尽管铜绿微囊藻分离物的生长行为相似,但在未使用抗生素的情况下进行的蛋白质组比较分析却显示出不同的指纹图谱。在使用妥布霉素的情况下,分离物的共同反应是参与双组分系统的蛋白质下调,而应激反应蛋白质的水平更高。我们的研究结果为利用蛋白质组学工具剖析临床分离物在无抗生素胁迫和有抗生素胁迫时的系统级反应提供了启示。
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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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