ArticleBMC systems biology2016
A computational model of invasive aspergillosis in the lung and the role of iron.
Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 36 citations in OpenAlex.
- Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans.NPJ systems biology and applications · 2025Article
- The heme scavenger hemopexin protects against lung injury during aspergillosis by mitigating release of neutrophil extracellular traps.JCI insight · 2025Article
- Control of medical digital twins with artificial neural networks.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Multiscale computational model predicts how environmental changes and treatments affect microvascular remodeling in fibrotic disease.PNAS nexus · 2025Article
- Multiscale computational model predicts how environmental changes and drug treatments affect microvascular remodeling in fibrotic disease.bioRxiv : the preprint server for biology · 2024Article
- NIAID/SMB Workshop on Multiscale Modeling of Infectious and Immune-Mediated Diseases.Bulletin of mathematical biology · 2024Article
- Surrogate infection model predicts optimal alveolar macrophage number for clearance of Aspergillus fumigatus infections.NPJ systems biology and applications · 2023Article
- Sphingosine as a New Antifungal Agent againstInternational journal of molecular sciences · 2022Article
- Computational Modeling of Macrophage Iron Sequestration during Host Defense against Aspergillus.mSphere · 2022Article
- Aspergillus Utilizes Extracellular Heme as an Iron Source During Invasive Pneumonia, Driving Infection Severity.The Journal of infectious diseases · 2022Article
- Multi-scale mechanistic modelling of the host defence in invasive aspergillosis reveals leucocyte activation and iron acquisition as drivers of infection outcome.Journal of the Royal Society, Interface · 2022Article
- Dynamic optimization reveals alveolar epithelial cells as key mediators of host defense in invasive aspergillosis.PLoS computational biology · 2021Article
- A modular computational framework for medical digital twins.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Trends in mathematical modeling of host-pathogen interactions.Cellular and molecular life sciences : CMLS · 2020Review
- Murine Intraepithelial Dendritic Cells Interact With Phagocytic Cells DuringFrontiers in immunology · 2020Article
- Comparative Assessment of Aspergillosis by Virtual Infection Modeling in Murine and Human Lung.Frontiers in immunology · 2019Article
- Iron: an essential nutrient for Aspergillus fumigatus and a fulcrum for pathogenesis.Current opinion in infectious diseases · 2018Review
- Hypoxia arising from concerted oxygen consumption by neutrophils and microorganisms in biofilms.Pathogens and disease · 2018Article
- The innate immune response to ischemic injury: a multiscale modeling perspective.BMC systems biology · 2018Article
- Bacterial Adherence and Dwelling Probability: Two Drivers of Early Alveolar Infection byFrontiers in cellular and infection microbiology · 2018Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundInvasive aspergillosis is a severe infection of immunocompromised hosts, caused by the inhalation of the spores of the ubiquitous environmental molds of the Aspergillus genus. The innate immune response in this infection entails a series of complex and inter-related interactions between multiple recruited and resident cell populations with each other and with the fungal cell; in particular, iron is critical for fungal growth.
resultsA computational model of invasive aspergillosis is presented here; the model can be used as a rational hypothesis-generating tool to investigate host responses to this infection. Using a combination of laboratory data and published literature, an in silico model of a section of lung tissue was generated that includes an alveolar duct, adjacent capillaries, and surrounding lung parenchyma. The three-dimensional agent-based model integrates temporal events in fungal cells, epithelial cells, monocytes, and neutrophils after inhalation of spores with cellular dynamics at the tissue level, comprising part of the innate immune response. Iron levels in the blood and tissue play a key role in the fungus' ability to grow, and the model includes iron recruitment and consumption by the different types of cells included. Parameter sensitivity analysis suggests the model is robust with respect to unvalidated parameters, and thus is a viable tool for an in silico investigation of invasive aspergillosis.
conclusionsUsing laboratory data from a mouse model of invasive aspergillosis in the context of transient neutropenia as validation, the model predicted qualitatively similar time course changes in fungal burden, monocyte and neutrophil populations, and tissue iron levels. This model lays the groundwork for a multi-scale dynamic mathematical model of the immune response to Aspergillus species.
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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.