Kuusela Pentti, Saraswat Mayank, Joenväärä Sakari, Kaartinen Johanna, Järvinen Asko, Renkonen Risto
Division of Clinical Microbiology, HUSLAB, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Department of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.
PLoS One. 2017 Feb 24;12(2):e0172987. doi: 10.1371/journal.pone.0172987. eCollection 2017.
Blood culture is the primary diagnostic test performed in a suspicion of bloodstream infection to detect the presence of microorganisms and direct the treatment. However, blood culture is slow and time consuming method to detect blood stream infections or separate septic and/or bacteremic patients from others with less serious febrile disease. Plasma proteomics, despite its challenges, remains an important source for early biomarkers for systemic diseases and might show changes before direct evidence from bacteria can be obtained. We have performed a plasma proteomic analysis, simultaneously at the time of blood culture sampling from ten blood culture positive and ten blood culture negative patients, and quantified 172 proteins with two or more unique peptides. Principal components analysis, Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) and ROC curve analysis were performed to select protein(s) features which can classify the two groups of samples. We propose a number of candidates which qualify as potential biomarkers to select the blood culture positive cases from negative ones. Pathway analysis by two methods revealed complement activation, phagocytosis pathway and alterations in lipid metabolism as enriched pathways which are relevant for the condition. Data are available via ProteomeXchange with identifier PXD005022.
血培养是在怀疑血流感染时进行的主要诊断测试,用于检测微生物的存在并指导治疗。然而,血培养是一种检测血流感染或区分败血症和/或菌血症患者与其他病情较轻的发热性疾病患者的缓慢且耗时的方法。血浆蛋白质组学尽管面临挑战,但仍然是系统性疾病早期生物标志物的重要来源,并且可能在获得细菌的直接证据之前就显示出变化。我们在对10例血培养阳性和10例血培养阴性患者进行血培养采样时,同时进行了血浆蛋白质组学分析,并对172种具有两种或更多独特肽段的蛋白质进行了定量。进行了主成分分析、正交投影到潜在结构判别分析(OPLS-DA)和ROC曲线分析,以选择能够区分两组样本的蛋白质特征。我们提出了一些有望作为潜在生物标志物的候选物,用于从阴性病例中筛选出血培养阳性病例。通过两种方法进行的通路分析显示,补体激活、吞噬作用通路以及脂质代谢改变是与该病症相关的富集通路。数据可通过ProteomeXchange获得,标识符为PXD005022。