Department of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Nat Commun. 2022 Apr 28;13(1):2332. doi: 10.1038/s41467-022-30048-6.
Bloodstream infections (BSIs) cause >500,000 infections and >80,000 deaths per year in North America. The length of time between the onset of symptoms and administration of appropriate antimicrobials is directly linked to mortality rates. It currently takes 2-5 days to identify BSI pathogens and measure their susceptibility to antimicrobials - a timeline that directly contributes to preventable deaths. To address this, we demonstrate a rapid metabolic preference assay (MPA) that uses the pattern of metabolic fluxes observed in ex-vivo microbial cultures to identify common pathogens and determine their antimicrobial susceptibility profiles. In a head-to-head race with a leading platform (VITEK 2, BioMérieux) used in diagnostic laboratories, MPA decreases testing timelines from 40 hours to under 20. If put into practice, this assay could reduce septic shock mortality and reduce the use of broad spectrum antibiotics.
血流感染（BSI）每年在北美导致超过 50 万例感染和超过 8 万例死亡。从症状出现到使用适当的抗菌药物之间的时间长短与死亡率直接相关。目前，识别 BSI 病原体并测量其对抗菌药物的敏感性需要 2-5 天-这一时间线直接导致可预防的死亡。为了解决这个问题，我们展示了一种快速代谢偏好测定法（MPA），该方法利用在体外微生物培养物中观察到的代谢通量模式来识别常见病原体并确定其抗菌药物敏感性特征。在与诊断实验室中使用的领先平台（VITEK 2，BioMérieux）的直接竞争中，MPA 将测试时间从 40 小时缩短到不到 20 小时。如果付诸实践，该测定法可以降低败血症休克的死亡率并减少广谱抗生素的使用。
