ArticleMathematical biosciences2011
An agent-based model of inflammation and fibrosis following particulate exposure in the lung.
Article in Mathematical biosciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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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.
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Who cites it
34 citing papers in PubMed, 65 citations in OpenAlex.
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- Elucidating the interaction between stretch and stiffness using an agent-based spring network model of progressive pulmonary fibrosis.Frontiers in network physiology · 2024Article
- An agent-based modeling approach for lung fibrosis in response to COVID-19.PLoS computational biology · 2023Article
- Mathematical modeling of ventilator-induced lung inflammation.Journal of theoretical biology · 2021Article
- TowardsFrontiers in bioengineering and biotechnology · 2021Review
- Multi-scale models of lung fibrosis.Matrix biology : journal of the International Society for Matrix Biology · 2020Review
- Agent-based models of inflammation in translational systems biology: A decade later.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Influence of Pathogens and Mechanical Stimuli in Inflammation.Bioengineering (Basel, Switzerland) · 2019Article
- Gynura Rhizoma containing pyrrolizidine alkaloids induces the hepatic sinusoidal obstruction syndrome in mice via upregulating fibrosis-related factors.Acta pharmacologica Sinica · 2019Article
- A review of inflammatory mechanism in airway diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019Review
- Fibroblasts: Diverse Cells Critical to Biomaterials Integration.ACS biomaterials science & engineering · 2018Article
- Evaluation of Ventilation-Induced Lung Inflammation Through Multi-Scale Simulations.IEEE journal of translational engineering in health and medicine · 2018Article
- Coupled Immunological and Biomechanical Model of Emphysema Progression.Frontiers in physiology · 2018Article
- Modeling the dynamics of chromosomal alteration progression in cervical cancer: A computational model.PloS one · 2017Article
- Multiplicity of Mathematical Modeling Strategies to Search for Molecular and Cellular Insights into Bacteria Lung Infection.Frontiers in physiology · 2017Review
- A computational model of invasive aspergillosis in the lung and the role of iron.BMC systems biology · 2016Article
- Computational modeling of cardiac fibroblasts and fibrosis.Journal of molecular and cellular cardiology · 2016Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Inflammation and airway remodeling occur in a variety of airway diseases. Modeling aspects of the inflammatory and fibrotic processes following repeated exposure to particulate matter may provide insights into a spectrum of airway diseases, as well as prevention/treatment strategies. An agent-based model (ABM) was created to examine the response of an abstracted population of inflammatory cells (nominally macrophages, but possibly including other inflammatory cells such as lymphocytes) and cells involved in remodeling (nominally fibroblasts) to particulate exposure. The model focused on a limited number of relevant interactions, specifically those among macrophages, fibroblasts, a pro-inflammatory cytokine (TNF-α), an anti-inflammatory cytokine (TGF-β1), collagen deposition, and tissue damage. The model yielded three distinct states that were equated with (1) self-resolving inflammation and a return to baseline, (2) a pro-inflammatory process of localized tissue damage and fibrosis, and (3) elevated pro- and anti-inflammatory cytokines, persistent tissue damage, and fibrosis outcomes. Experimental results consistent with these predicted states were observed in histology sections of lung tissue from mice exposed to particulate matter. Systematic in silico studies suggested that the development of each state depended primarily upon the degree and duration of exposure. Thus, a relatively simple ABM resulted in several, biologically feasible, emergent states, suggesting that the model captures certain salient features of inflammation following exposure of the lung to particulate matter. This ABM may hold future utility in the setting of airway disease resulting from inflammation and fibrosis following particulate exposure.
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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.