Suppr超能文献

囊性纤维化气道中多微生物群落的生态演替

Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways.

作者信息

Khanolkar Rutvij A, Clark Shawn T, Wang Pauline W, Hwang David M, Yau Yvonne C W, Waters Valerie J, Guttman David S

机构信息

Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada.

Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

出版信息

mSystems. 2020 Dec 1;5(6):e00809-20. doi: 10.1128/mSystems.00809-20.

Abstract

Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as and complex, despite the fact that the CF lung harbors a complex and dynamic polymicrobial community. A clinical focus on the dominant pathogens ignores potentially important community-level interactions in disease pathology, perhaps explaining why these treatments are often less effective than predicted based on testing. A better understanding of the ecological dynamics of this ecosystem may enable clinicians to harness these interactions and thereby improve treatment outcomes. Like all ecosystems, the CF lung microbial community develops through a series of stages, each of which may present with distinct microbial communities that generate unique host-microbe and microbe-microbe interactions, metabolic profiles, and clinical phenotypes. While insightful models have been developed to explain some of these stages and interactions, there is no unifying model to describe how these infections develop and persist. Here, we review current perspectives on the ecology of the CF airway and present the CF Ecological Succession (CFES) model that aims to capture the spatial and temporal complexity of CF lung infection, address current challenges in disease management, and inform the development of ecologically driven therapeutic strategies.

摘要

尽管囊性纤维化(CF)肺部存在复杂且动态的多微生物群落,但针对CF肺部感染的抗菌治疗主要针对传统的、已被充分研究的CF病原体,如 (此处原文缺失病原体名称)和 (此处原文缺失病原体名称)复合体。临床上对主要病原体的关注忽略了疾病病理学中潜在重要的群落水平相互作用,这或许可以解释为什么这些治疗往往不如基于 (此处原文缺失检测项目名称)检测所预测的那样有效。更好地理解这个生态系统的生态动态可能使临床医生能够利用这些相互作用,从而改善治疗效果。与所有生态系统一样,CF肺部微生物群落通过一系列阶段发展,每个阶段可能呈现出不同的微生物群落,产生独特的宿主 - 微生物和微生物 - 微生物相互作用、代谢谱和临床表型。虽然已经开发出有见地的模型来解释其中一些阶段和相互作用,但没有统一的模型来描述这些感染是如何发展和持续的。在这里,我们回顾了关于CF气道生态学的当前观点,并提出了CF生态演替(CFES)模型,该模型旨在捕捉CF肺部感染的时空复杂性,解决疾病管理中的当前挑战,并为生态驱动的治疗策略的发展提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a44/7716390/43bba4657803/mSystems.00809-20-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验