ArticlePLoS computational biology2013
A computational model of liver iron metabolism.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review.Frontiers in physiology · 2021Pooled it
- A kinetic mathematical model of comprehensive iron metabolism in a respiring yeast cell: a basic-pathways approach to solving a large system dynamically.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Challenging Traditional ADME Assumptions for Physiologically Based Pharmacokinetic Models for Intravenous Administration of Iron-Carbohydrate Nanomedicines: Potential Utility of Gold Nanoparticle Models as a Roadmap.Clinical pharmacokinetics · 2025Review
- A whole-body mechanistic physiologically-based pharmacokinetic modeling of intravenous iron.Drug delivery and translational research · 2025Article
- Mathematical modeling reveals ferritin as the strongest cellular driver of dietary iron transfer block in enterocytes.PLoS computational biology · 2025Article
- Computational Prediction of Tissue Iron Dynamics in Iron Deficiency Anemia Following Intravenous Ferric Carboxymaltose Therapy.International journal of nanomedicine · 2025Article
- A Systems Biology Approach Towards a Comprehensive Understanding of Ferroptosis.International journal of molecular sciences · 2024Article
- Article
- Influence of prazosin on systemic iron levels and the associated iron metabolic alterations in spontaneously hypertensive rats.Pharmacology research & perspectives · 2022Article
- Deciphering signal transduction networks in the liver by mechanistic mathematical modelling.The Biochemical journal · 2022Article
- A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells.BMC systems biology · 2019Article
- An NFκB Activity Calculator to Delineate Signaling Crosstalk: Type I and II Interferons Enhance NFκB via Distinct Mechanisms.Frontiers in immunology · 2019Article
- Polypyrimidine tract-binding protein blocks miRNA-124 biogenesis to enforce its neuronal-specific expression in the mouse.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- No effects without causes: the Iron Dysregulation and Dormant Microbes hypothesis for chronic, inflammatory diseases.Biological reviews of the Cambridge Philosophical Society · 2018Review
- Whole-body iron transport and metabolism: Mechanistic, multi-scale model to improve treatment of anemia in chronic kidney disease.PLoS computational biology · 2018Article
- Modeling the dynamics of mouse iron body distribution: hepcidin is necessary but not sufficient.BMC systems biology · 2017Article
- Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective.PLoS computational biology · 2017Article
- Modelling Systemic Iron Regulation during Dietary Iron Overload and Acute Inflammation: Role of Hepcidin-Independent Mechanisms.PLoS computational biology · 2017Article
- A Dormant Microbial Component in the Development of Preeclampsia.Frontiers in medicine · 2016Review
- Quantitative combination of natural anti-oxidants prevents metabolic syndrome by reducing oxidative stress.Redox biology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Iron is essential for all known life due to its redox properties; however, these same properties can also lead to its toxicity in overload through the production of reactive oxygen species. Robust systemic and cellular control are required to maintain safe levels of iron, and the liver seems to be where this regulation is mainly located. Iron misregulation is implicated in many diseases, and as our understanding of iron metabolism improves, the list of iron-related disorders grows. Recent developments have resulted in greater knowledge of the fate of iron in the body and have led to a detailed map of its metabolism; however, a quantitative understanding at the systems level of how its components interact to produce tight regulation remains elusive. A mechanistic computational model of human liver iron metabolism, which includes the core regulatory components, is presented here. It was constructed based on known mechanisms of regulation and on their kinetic properties, obtained from several publications. The model was then quantitatively validated by comparing its results with previously published physiological data, and it is able to reproduce multiple experimental findings. A time course simulation following an oral dose of iron was compared to a clinical time course study and the simulation was found to recreate the dynamics and time scale of the systems response to iron challenge. A disease state simulation of haemochromatosis was created by altering a single reaction parameter that mimics a human haemochromatosis gene (HFE) mutation. The simulation provides a quantitative understanding of the liver iron overload that arises in this disease. This model supports and supplements understanding of the role of the liver as an iron sensor and provides a framework for further modelling, including simulations to identify valuable drug targets and design of experiments to improve further our knowledge of this system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.