揭示多微生物感染的动态：对抗生素治疗的影响。
Revealing the dynamics of polymicrobial infections: implications for antibiotic therapy.
机构信息
King's College London, Molecular Microbiology Research Laboratory, Pharmaceutical Science Division, 150 Stamford Street, Franklin-Wilkins Building, King's College London, London, SE1 9NH, UK.
出版信息
Trends Microbiol. 2010 Aug;18(8):357-64. doi: 10.1016/j.tim.2010.04.005. Epub 2010 Jun 1.
Abstract
As a new generation of culture-independent analytical strategies emerge, the amount of data on polymicrobial infections will increase dramatically. For these data to inform clinical thinking, and in turn to maximise benefits for patients, an appropriate framework for their interpretation is required. Here, we use cystic fibrosis (CF) lower airway infections as a model system to examine how conceptual and technological advances can address two clinical questions that are central to improved management of CF respiratory disease. Firstly, can markers of the microbial community be identified that predict a change in infection dynamics and clinical outcomes? Secondly, can these new strategies directly characterize the impact of antimicrobial therapies, allowing treatment efficacy to be both assessed and optimized?
摘要
随着新一代非培养分析策略的出现，关于混合感染的数据将大幅增加。为了使这些数据能够为临床思维提供信息，并最终使患者受益最大化，需要有一个适当的框架来解释这些数据。在这里，我们以囊性纤维化（CF）下呼吸道感染为模型系统，研究概念和技术的进步如何解决两个与改善 CF 呼吸道疾病管理相关的核心临床问题。首先，能否确定预测感染动力学和临床结果变化的微生物群落标志物？其次，这些新策略能否直接描述抗菌治疗的影响，从而评估和优化治疗效果？
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