Next-Generation Antimicrobial Diagnostics: Speed and Precision via Whole Genome Sequencing

细菌感染每年导致数百万人感染，夺去数万人的生命，如果没有抗生素，死亡人数将会飙升。不幸的是，由于耐药性的演变，抗生素正在迅速变得不那么有效。最重要的是，医生往往很难及时确定哪种药物对感染病原体最有效。由于这些原因，迫切需要新的抗菌诊断方法**，这些方法可以迅速为医生提供准确的信息，以指导他们的治疗。解决这个问题的一个非常有前途的新方法是对感染病原体的基因组进行测序，并利用这些信息预测它们对治疗的反应。我们建议**产生基因组序列数据，并使用复杂的全基因组关联和**预测建模方法来开发一种新的抗菌诊断工具。我们将特别关注阻止一种叫做铜绿假单胞菌的细菌病原体，这种细菌导致医院感染和死亡的数量不成比例。我们将与我们在多伦多病童医院的合作伙伴共同开发这种最先进的诊断工具，然后开发将其应用于临床的程序。该项目的成功将加快诊断速度，改善患者护理，降低医疗成本，并加强抗生素的管理；从而为将来保留它们的功效。

Bacterial infections cause millions of infections and take tens of thousands of lives every year,**and without antibiotics the death toll would skyrocket. Unfortunately, antibiotics are rapidly**becoming less effective due to the evolution of resistance. On top of this, doctors often have a**difficult time identifying what drugs will be most effective against infecting pathogens a timely**manner. For these reasons there is desperate need for new antimicrobial diagnostic methods**that can rapidly provide physicians accurate information to guide their treatments. One very**promising new approach to this problem is to sequence the genomes of the infecting**pathogens and use this information predict how they will respond to treatment. We propose to**produce genome sequence data and use sophisticated genome-wide association and**predictive modeling methods to develop a new antimicrobial diagnostic tool. We will**specifically focus on stopping a bacterial pathogen called Pseudomonas aeruginosa that**causes a disproportionate number of hospital infections and deaths. We will work in**collaboration with our partners at the Hospital for Sick Children in Toronto to generate this**state-of-the-art diagnostic tool and then develop procedures to move it into the clinic. The**success of this project will speed diagnosis, improve patient care, reduce healthcare costs,**and enhance stewardship of antibiotics; thereby, preserving their efficacy for the future.