Revealing the dynamics of polymicrobial infections: implications for antibiotic therapy
Revealing the dynamics of polymicrobial infections: implications for antibiotic therapy
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?
Anti-Bacterial Agents/therapeutic use, Bacterial Infections/drug therapy, Chronic Disease, Cystic Fibrosis/complications, Host-Pathogen Interactions, Humans, Polymerase Chain Reaction, Respiratory Tract Infections/drug therapy
357-64
Rogers, Geraint B.
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Hoffman, Lucas R.
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Whiteley, Marvin
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Daniels, Thomas W.V.
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Carroll, Mary P.
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Bruce, Kenneth D.
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Rogers, Geraint B.
bd90d82a-4150-4e01-a755-b81559586da2
Hoffman, Lucas R.
96da3b2b-cc89-4c0b-8819-fc3920459778
Whiteley, Marvin
4d927a2e-1b28-4d2b-8d87-99a460277598
Daniels, Thomas W.V.
9a8ab6f0-2eb9-4703-b536-f86923888213
Carroll, Mary P.
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Bruce, Kenneth D.
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Rogers, Geraint B., Hoffman, Lucas R., Whiteley, Marvin, Daniels, Thomas W.V., Carroll, Mary P. and Bruce, Kenneth D.
(2010)
Revealing the dynamics of polymicrobial infections: implications for antibiotic therapy.
Trends in Microbiology, 18 (8), .
(doi:10.1016/j.tim.2010.04.005).
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?
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e-pub ahead of print date: 1 June 2010
Keywords:
Anti-Bacterial Agents/therapeutic use, Bacterial Infections/drug therapy, Chronic Disease, Cystic Fibrosis/complications, Host-Pathogen Interactions, Humans, Polymerase Chain Reaction, Respiratory Tract Infections/drug therapy
Identifiers
Local EPrints ID: 483797
URI: http://eprints.soton.ac.uk/id/eprint/483797
ISSN: 0966-842X
PURE UUID: 82063fd5-2b9a-49d2-9c00-9d42d57ef207
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Date deposited: 06 Nov 2023 17:57
Last modified: 17 Mar 2024 05:41
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Contributors
Author:
Geraint B. Rogers
Author:
Lucas R. Hoffman
Author:
Marvin Whiteley
Author:
Thomas W.V. Daniels
Author:
Mary P. Carroll
Author:
Kenneth D. Bruce
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