Cogno, Nicolò ; Bauer, Roman ; Durante, Marco (2022)
An Agent-Based Model of Radiation-Induced Lung Fibrosis.
In: International Journal of Molecular Sciences, 2022, 23 (22)
doi: 10.26083/tuprints-00022973
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | An Agent-Based Model of Radiation-Induced Lung Fibrosis |
Language: | English |
Date: | 19 December 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2022 |
Publisher: | MDPI |
Journal or Publication Title: | International Journal of Molecular Sciences |
Volume of the journal: | 23 |
Issue Number: | 22 |
Collation: | 21 Seiten |
DOI: | 10.26083/tuprints-00022973 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | Early- and late-phase radiation-induced lung injuries, namely pneumonitis and lung fibrosis (RILF), severely constrain the maximum dose and irradiated volume in thoracic radiotherapy. As the most radiosensitive targets, epithelial cells respond to radiation either by undergoing apoptosis or switching to a senescent phenotype that triggers the immune system and damages surrounding healthy cells. Unresolved inflammation stimulates mesenchymal cells’ proliferation and extracellular matrix (ECM) secretion, which irreversibly stiffens the alveolar walls and leads to respiratory failure. Although a thorough understanding is lacking, RILF and idiopathic pulmonary fibrosis share multiple pathways and would mutually benefit from further insights into disease progression. Furthermore, current normal tissue complication probability (NTCP) models rely on clinical experience to set tolerance doses for organs at risk and leave aside mechanistic interpretations of the undergoing processes. To these aims, we implemented a 3D agent-based model (ABM) of an alveolar duct that simulates cell dynamics and substance diffusion following radiation injury. Emphasis was placed on cell repopulation, senescent clearance, and intra/inter-alveolar bystander senescence while tracking ECM deposition. Our ABM successfully replicates early and late fibrotic response patterns reported in the literature along with the ECM sigmoidal dose-response curve. Moreover, surrogate measures of RILF severity via a custom indicator show qualitative agreement with published fibrosis indices. Finally, our ABM provides a fully mechanistic alveolar survival curve highlighting the need to include bystander damage in lung NTCP models. |
Uncontrolled Keywords: | agent-based modelling, RILF, IPF, senescence, bystander, 3D modelling, NTCP |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-229737 |
Additional Information: | This article belongs to the Special Issue Molecular and Cellular Mechanisms of Idiopathic Pulmonary Fibrosis and Interstitial Lung Diseases |
Classification DDC: | 500 Science and mathematics > 530 Physics |
Divisions: | 05 Department of Physics > Institute for Condensed Matter Physics |
Date Deposited: | 19 Dec 2022 12:41 |
Last Modified: | 14 Nov 2023 19:05 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/22973 |
PPN: | 50324192X |
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