Abstract
Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as Pseudomonas aeruginosa and Burkholderia cepacia 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 in vitro 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.
Highlights
Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as Pseudomonas aeruginosa and Burkholderia cepacia complex, despite the fact that the CF lung harbors a complex and dynamic polymicrobial community
DIRECTIONS Life expectancy for CF patients has risen significantly since the initial description of the disease, from death during infancy being common in the 1950s to a current median age of survival of more than 50 years in North America [150, 151]
The cystic fibrosis ecological succession (CFES) model synthesizes the dynamics of CF lower airways communities over the course of disease using fundamental concepts of ecology
Summary
Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as Pseudomonas aeruginosa and Burkholderia cepacia complex, despite the fact that the CF lung harbors a complex and dynamic polymicrobial community. Current approaches in the treatment of CF lung infection center around the use of broad-spectrum antimicrobials and airway clearance techniques to reduce the microbial load and clear mucus obstruction in an attempt to improve lung function [8]. These approaches predominantly focus on the detection of “traditional CF pathogens” in respiratory cultures, including Pseudomonas aeruginosa, Staphylococcus aureus, Haemophilus influenzae, and Burkholderia cepacia complex (BCC) species such as Burkholderia multivorans and Burkholderia cenocepacia, among others [9]. Characterizing CF lung infections as ecologically homogeneous and driven by a few dominant species minimizes the potential importance of complex and dynamic ecological interactions
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