Martin Rebekah M, Cao Jie, Wu Weisheng, Zhao Lili, Manthei David M, Pirani Ali, Snitkin Evan, Malani Preeti N, Rao Krishna, Bachman Michael A
Department of Pathology, Michigan Medicine, Ann Arbor, Michigan, USA.
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
mSystems. 2018 Jun 26;3(3). doi: 10.1128/mSystems.00015-18. eCollection 2018 May-Jun.
Despite insights gained through experimental models, the set of bacterial genes important for human infection is unclear for many of our most threatening pathogens. Klebsiella pneumoniae is a leading cause of health care-associated infections (HAIs) and commonly colonizes hospitalized patients, but the factors that determine whether a particular isolate causes disease or remains a colonizer are poorly understood. To identify bacterial genes associated with K. pneumoniae infection, a case-control study was performed comparing infected and asymptomatic colonized patients. Comparative bacterial genomics was combined with a conditional logit model that identified patient factors differentiating cases from controls. This method identified five gene loci associated with infection after adjustment for patient factors, including a psicose sugar utilization locus that was validated as a fitness factor during mouse lung infection. These results indicate that bacterial genome-wide association studies of patients can identify loci associated with HAIs and important in infection models. Klebsiella pneumoniae is a common cause of infections in the health care setting. This work supports a paradigm for K. pneumoniae pathogenesis where the accessory genome, composed of genes present in some but not all isolates, influences whether a strain causes infection or asymptomatic colonization, after accounting for patient-level factors. Identification of patients at high risk of infection could allow interventions to prevent or rapidly treat K. pneumoniae infections.
尽管通过实验模型获得了一些见解,但对于许多最具威胁性的病原体而言,对人类感染至关重要的细菌基因集仍不清楚。肺炎克雷伯菌是医疗保健相关感染(HAIs)的主要原因,并且通常在住院患者中定植,但是决定特定分离株是否会导致疾病或仍然只是定植菌的因素却知之甚少。为了鉴定与肺炎克雷伯菌感染相关的细菌基因,开展了一项病例对照研究,对感染患者和无症状定植患者进行比较。将比较细菌基因组学与条件logit模型相结合,该模型确定了区分病例和对照的患者因素。在对患者因素进行校正后,该方法鉴定出了五个与感染相关的基因位点,其中一个阿洛酮糖利用位点在小鼠肺部感染期间被确认为一个适应性因子。这些结果表明,对患者进行细菌全基因组关联研究可以鉴定出与医疗保健相关感染相关且在感染模型中很重要的基因位点。肺炎克雷伯菌是医疗环境中感染的常见原因。这项工作支持了一种肺炎克雷伯菌发病机制的范例,即在考虑患者层面因素后,由部分而非全部分离株中存在的基因组成的辅助基因组会影响菌株是否会导致感染或无症状定植。识别感染高危患者可以采取干预措施来预防或快速治疗肺炎克雷伯菌感染。