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Functional group/guild modelling of inter-specific pathogen interactions: A potential tool for predicting the consequences of co-infection

Published online by Cambridge University Press:  14 May 2008

J. LELLO  and
T. HUSSELL
J. LELLO*
Affiliation:
School of Biosciences, Cardiff University, Biomedical Sciences Building, Museum Avenue, Cardiff, CF10 3US
T. HUSSELL
Affiliation:
Kennedy Institute, Imperial College London, ARC Building, Charing Cross Campus, 1 Aspenlea Road, London, W6 8LH
*
Corresponding author: Dr Joanne Lello, School of Biosciences, Cardiff University, Biomedical Sciences Building, Museum Avenue, Cardiff, CF10 3US; Tel: 02920 875885; Fax: 02920 874562; E-Mail: lelloj@cardiff.ac.uk.
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Summary

Although co-infection is the norm in most human and animal populations, clinicians currently have no practical tool to assist them in choosing the best treatment strategy for such patients. Given the vast range of potential pathogens which may co-infect the host, obtaining such a practical tool may seem an intractable problem. In ecology the joint concepts of functional groups and guilds have been used to conceptually simplify complex ecosystems, in order to understand how their component parts interact and may be manipulated. Here we propose a mechanism by which to apply these concepts to pathogen co-infection systems. Further, we describe how these groups could be incorporated into a mathematical modelling framework which, after validation, could be used as a clinical tool to predict the outcome of any particular combination of pathogens co-infecting a host.

Keywords

Functional groupsguildsco-infectionmixed infectionpathogensmodelling
Type
Original Articles
Information
Parasitology , Volume 135 , Special Issue 7: Parasitic co-infections: challenges and solutions , June 2008 , pp. 825 - 839
Copyright
Copyright © 2008 Cambridge University Press

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