ArticlePhysiological measurement2018
Topographic distribution of idiopathic pulmonary fibrosis: a hybrid physics- and agent-based model.
Article in Physiological measurement, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 33 citations in OpenAlex.
- Modeling ventilation heterogeneity in lung fibrosis.Medical & biological engineering & computing · 2026Article
- Network-Associated Mechanotransduction in Health and Disease.Results and problems in cell differentiation · 2026Review
- Insight into the pathogenesis of interstitial lung diseases and near-to-native lung fibrosis models.European journal of medical research · 2025Review
- Ferret model of bleomycin-induced lung injury shares features of human idiopathic pulmonary fibrosis.NPJ Regenerative medicine · 2025Article
- Ferret model of bleomycin-induced lung injury shares features of human idiopathic pulmonary fibrosis.bioRxiv : the preprint server for biology · 2025Article
- Multiscale computational model predicts how environmental changes and treatments affect microvascular remodeling in fibrotic disease.PNAS nexus · 2025Article
- Bifurcation in the healing or fibrotic response in a network model of fibrosis: role of the initial injury structure.Frontiers in network physiology · 2025Article
- PersonalizedJournal of the Royal Society, Interface · 2024Article
- Quantitative CT-analysis of over aerated lung tissue and correlation with fibrosis extent in patients with idiopathic pulmonary fibrosis.Respiratory research · 2024Article
- 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 model of tissue maintenance and self-repair.American journal of physiology. Cell physiology · 2023Article
- Predicting alveolar ventilation heterogeneity in pulmonary fibrosis using a non-uniform polyhedral spring network model.Frontiers in network physiology · 2023Article
- Cell-Specific Response of NSIP- and IPF-Derived Fibroblasts to the Modification of the Elasticity, Biological Properties, and 3D Architecture of the Substrate.International journal of molecular sciences · 2022Article
- Article
- A Personalized Spring Network Representation of Emphysematous Lungs From CT Images.Frontiers in network physiology · 2022Article
- ECM Mechanoregulation in Malignant Pleural Mesothelioma.Frontiers in bioengineering and biotechnology · 2022Article
- Percolation of collagen stress in a random network model of the alveolar wall.Scientific reports · 2021Article
- The New Field of Network Physiology: Building the Human Physiolome.Frontiers in network physiology · 2021Article
- Multi-scale models of lung fibrosis.Matrix biology : journal of the International Society for Matrix Biology · 2020Review
- An Analytic Model of Tissue Self-Healing and Its Network Implementation: Application to Fibrosis and Aging.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveIdiopathic pulmonary fibrosis (IPF) is a progressive and fatal disease characterized by excessive deposition of collagen and associated stiffening of lung tissue. While it is known that inflammation and dysfunction of fibroblasts are involved in disease development, it remains poorly understood how cells and their microenvironment interact to produce a characteristic subpleural pattern of high and low tissue density variations, called honeycombing, on CT images of patients with IPF. Since the pleura is stiffer than the parenchyma, we hypothesized that local stiffness of the underlying extracellular matrix can influence fibroblast activation and consequently the deposition of collagen, which in turn influences tissue stiffness in a positive feedback loop. APPROACH: We tested this hypothesis by developing a hybrid physics-based/agent-based computational model in which aberrant fibroblast activation is induced when cells migrate on stiff tissue. This activation then feeds back on itself via the altered mechanical environment that it creates by depositing collagen. MAIN
resultsThe model produces power law distributions of both low- and high-attenuation area clusters and predicts the development of honeycombing only when mechanical rupture is allowed to take place in highly strained normal tissue surrounded by stiff fibrotic tissue. These predictions compare well with histologic data computed from CT images of patients with IPF. SIGNIFICANCE: We conclude that the clinical manifestation of subpleural honeycombing in IPF may result from fibroblasts entering into a positive feedback loop induced by the abnormally high tissue stiffness near the pleura.
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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.