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A multiscale hybrid model for exploring the effect of Resolvin D1 on macrophage polarization during acute inflammation

  • Jeroen F Uleman
  • , Emiliano Mancini
  • , Rushd F M Al-Shama
  • , Anje A Te Velde
  • , Aletta D Kraneveld
  • , Filippo Castiglione

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Dysregulated inflammation underlies various diseases. Specialized pro-resolving mediators (SPMs) like Resolvin D1 (RvD1) have been shown to resolve inflammation and halt disease progression. Macrophages, key immune cells that drive inflammation, respond to the presence of RvD1 by polarizing to an anti-inflammatory type (M 2). However, RvD1's mechanisms, roles, and utility are not fully understood. This paper introduces a gene-regulatory network (GRN) model that contains pathways for RvD1 and other SPMs and proinflammatory molecules like lipopolysaccharides. We couple this GRN model to a partial differential equation-agent-based hybrid model using a multiscale framework to simulate an acute inflammatory response with and without the presence of RvD1. We calibrate and validate the model using experimental data from two animal models. The model reproduces the dynamics of key immune components and the effects of RvD1 during acute inflammation. Our results suggest RvD1 can drive macrophage polarization through the G protein-coupled receptor 32 (GRP32) pathway. The presence of RvD1 leads to an earlier and increased M 2 polarization, reduced neutrophil recruitment, and faster apoptotic neutrophil clearance. These results support a body of literature that suggests that RvD1 is a promising candidate for promoting the resolution of acute inflammation. We conclude that once calibrated and validated on human data, the model can identify critical sources of uncertainty, which could be further elucidated in biological experiments and assessed for clinical use.

Original languageEnglish
Article number108997
Pages (from-to)108997
JournalMathematical Biosciences
Volume359
DOIs
Publication statusPublished - May 2023

Bibliographical note

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Funding

The authors acknowledge Ksenia Dilevskaya’s work on the literature review that was used to extend the gene-regulatory network model. FC acknowledges partial support from the Institute for Advanced Study (IAS), Universiteit van Amsterdam, The Netherlands . The authors also acknowledge Peter M.A. Sloot for supporting this work at the IAS.

Funders
Institute for Advanced Study

    Keywords

    • Animals
    • Humans
    • Inflammation
    • Macrophages
    • Docosahexaenoic Acids/pharmacology

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