Abstract

BackgroundAspergillus fumigatus is a ubiquitous airborne fungal pathogen that presents a life-threatening health risk to individuals with weakened immune systems. A. fumigatus pathogenicity depends on its ability to acquire iron from the host and to resist host-generated oxidative stress. Gaining a deeper understanding of the molecular mechanisms governing A. fumigatus iron acquisition and oxidative stress response may ultimately help to improve the diagnosis and treatment of invasive aspergillus infections.ResultsThis study follows a systems biology approach to investigate how adaptive behaviors emerge from molecular interactions underlying A. fumigatus iron regulation and oxidative stress response. We construct a Boolean network model from known interactions and simulate how changes in environmental iron and superoxide levels affect network dynamics. We propose rules for linking long term model behavior to qualitative estimates of cell growth and cell death. These rules are used to predict phenotypes of gene deletion strains. The model is validated on the basis of its ability to reproduce literature data not used in model generation.ConclusionsThe model reproduces gene expression patterns in experimental time course data when A. fumigatus is switched from a low iron to a high iron environment. In addition, the model is able to accurately represent the phenotypes of many knockout strains under varying iron and superoxide conditions. Model simulations support the hypothesis that intracellular iron regulates A. fumigatus transcription factors, SreA and HapX, by a post-translational, rather than transcriptional, mechanism. Finally, the model predicts that blocking siderophore-mediated iron uptake reduces resistance to oxidative stress. This indicates that combined targeting of siderophore-mediated iron uptake and the oxidative stress response network may act synergistically to increase fungal cell killing.Electronic supplementary materialThe online version of this article (doi:10.1186/s12918-015-0163-1) contains supplementary material, which is available to authorized users.

Highlights

  • Aspergillus fumigatus is a ubiquitous airborne fungal pathogen that presents a life-threatening health risk to individuals with weakened immune systems

  • The role of mathematical modeling The purpose of the present work is to gain a deeper understanding of the molecular mechanisms underlying the systems that most contribute to A. fumigatus pathogenicity, the iron acquisition and oxidative stress response networks

  • Model simulations of a population of A. fumigatus cells reproduces gene expression patterns in experimental time course data when A. fumigatus is switched from a low iron to a high iron environment

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Summary

Introduction

Aspergillus fumigatus is a ubiquitous airborne fungal pathogen that presents a life-threatening health risk to individuals with weakened immune systems. Gaining a deeper understanding of the molecular mechanisms governing A. fumigatus iron acquisition and oxidative stress response may help to improve the diagnosis and treatment of invasive aspergillus infections. Aspergillus fumigatus is a ubiquitous airborne fungus which has become an increasingly dangerous pathogen of humans worldwide, causing invasive infections, severe asthma and sinusitis [1]. Impairment of the corresponding host defense mechanisms, e.g. defective ROS production or inability to sufficiently deplete available iron, leads to an increased susceptibility to A. fumigatus infection [4,10,11]. Recent publications present proof of concept that targeting either A. fumigatus oxidative stress response or iron acquisition systems may be an effective treatment strategy [10,12].

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