Evidence map›Paper›PMID 25908096›Full record

ArticleBMC systems biology2015

Iron acquisition and oxidative stress response in aspergillus fumigatus.

Madison Brandon, Brad Howard, Christopher Lawrence, Reinhard Laubenbacher

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Understanding Iron and Oxidative Stress Response inbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Do fungi also undergo "ferroptosis"? A microscopic exploration of cellular death.Apoptosis : an international journal on programmed cell death · 2025
    Review
  4. Review
  5. Resynthesis of Damaged Fe-S Cluster Proteins ProtectsJournal of fungi (Basel, Switzerland) · 2024
    Article
  6. Article
  7. Article
  8. Comparative metabolomic profiling ofFrontiers in chemistry · 2023
    Article
  9. Article
  10. Identification of dynamic driver sets controlling phenotypical landscapes.Computational and structural biotechnology journal · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Identification of Antifungal Targets Based on Computer Modeling.Journal of fungi (Basel, Switzerland) · 2018
    Review
  15. Article
  16. Iron Absorption from Iron-EnrichedCurrent developments in nutrition · 2018
    Article
  17. Review
  18. Widespread amphotericin B-resistant strains ofInfection and drug resistance · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Madison BrandonCenter for Cell Analysis and Modeling, University of Connecticut Health Center, 400 Farmington Ave, Farmington, 06030, USA. mbrandon@uchc.edu.
Brad HowardDepartment of Biological Sciences, Virginia Tech, 1405 Perry Street, Blacksburg, 24061, USA. bahoward@vbi.vt.edu.
Christopher LawrenceDepartment of Biological Sciences, Virginia Tech, 1405 Perry Street, Blacksburg, 24061, USA. lawrence@vbi.vt.edu.
Reinhard LaubenbacherCenter for Quantitative Medicine, University of Connecticut Health Center, Farmington, 06030, USA. laubenbacher@uchc.edu.
UConn Health · USVirginia Tech · US

Funding

The systems biology of iron homeostasis and the immune response to AspergillusR21AI101619 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LAUBENBACHER, REINHARD, LAWRENCE, CHRISTOPHER BRIAN · 2012 to 2013
$411k
NIAID NIH HHS 1R21AI101619NIAID NIH HHS R21 AI101619
6 · The paper itself

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.

Indexed as

Models, BiologicalOxidative StressSystems BiologyAspergillus fumigatusBiological TransportCell DeathCell ProliferationEnvironmentFungal ProteinsGene Knockout TechniquesHomeostasisIronOxygenPhenotypeSiderophoresStochastic ProcessesFungal ProteinsIronOxygenSiderophoresSuperoxides

Identifiers

PMID25908096
PMCPMC4418068
OpenAlexW2021009967

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.