Detectability and validation sets of Targeted proteomics links virulence factor expression with clinical severity in staphylococcal pneumonia. undefined

We present a targeted proteomic approach able to monitor 42 staphylococcal proteins in a single experiment. Using this approach, we compared the quantitative virulomes of 136 S. aureus isolates from a nationwide cohort of French patients with severe community-acquired staphylococcal pneumonia, all requiring intensive care. We used multivariable regression models adjusted for patient baseline health (Charlson comorbidity score) to identify the virulence factors whose in vitro expression level predicted pneumonia severity markers, namely leukopenia and hemoptysis, as well as patient survival.

本研究提出一种可在单次实验中同时检测42种葡萄球菌蛋白的靶向蛋白质组学方法（targeted proteomic approach）。采用该方法，我们对来自法国全国性重症社区获得性葡萄球菌肺炎患者队列的136株金黄色葡萄球菌（Staphylococcus aureus）分离株的定量毒力组（quantitative virulome）进行了比较分析，该队列中的所有患者均需接受重症监护。本研究采用校正了患者基线健康状况的多变量回归模型，其中基线健康状况以查尔森合并症指数（Charlson comorbidity score）进行评估，旨在筛选出体外表达水平可预测肺炎严重程度指标，即白细胞减少症（leukopenia）与咯血（hemoptysis），以及患者生存结局的毒力因子。