bioRxivSystems BiologyPreprint
Model-guided Design of Biological Controller for Septic Wound Healing Regulation
Leopold N. GreeniD, Pegah NaghshnejadiD, Derrick DankwaiD, Xun TangiD
Abstract
Immune response is critical in septic wound healing. The aberrant and imbalanced signaling dynamics primarily cause a dysfunctional innate immune response, exacerbating pathogen invasion of injured tissue and further stalling the healing process. To design biological controllers that regulate the critical divergence of the immune response during septicemia, we need to understand the intricate differences in immune cell dynamics and coordinated molecular signals of healthy and sepsis injury. Here, we deployed an ordinary differential equation (ODE)-based model to capture the hyper and hypo-inflammatory phases of sepsis wound healing. Our results indicate that impaired macrophage polarization leads to a high abundance of monocytes, M1, and M2 macrophage phenotypes, resulting in immune paralysis. Using a model-based analysis framework, we designed a biological controller which successfully regulates macrophage dysregulation observed in septic wounds. Our model describes a systems biology approach to predict and explore critical parameters as potential therapeutic targets capable of transitioning septic wound inflammation toward a healthy, wound-healing state.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Bacterial Controller Aided Wound Healing: A Case Study in Dynamical Population Controller Design
Leopold N. Green, Chelsea Y. Hu, … Richard M. Murray·bioRxiv·Jun 15, 2020
- Effective spatio-temporal regimes for wound treatment by way of macrophage polarization: A mathematical model
Jiahao Xue, Ksenia Zlobina, Marcella M. Gomez·Frontiers in Applied Mathematics and StatisticsPeer-reviewed·Feb 22, 2022
- Determining controllability of sepsis using genetic algorithms on a proxy agent-based model of systemic inflammation
Chase Cockrell, Gary C. An·bioRxiv·Jun 21, 2017
- Modes of programmed macrophage cell death govern outcome of cutaneous wound healing
Louise Injarabian, Nils Reiche, … Sabine Anne Eming·bioRxiv·Mar 22, 2026
- Experimental control of macrophage pro-inflammatory dynamics using predictive models
L. D. Weinstock, J. E. Forsmo, … L. B. Wood·bioRxiv·Nov 1, 2019
- A dynamic inflammation model for neutrophil and monocyte responses in sepsis, trauma and surgery patient clusters.
B. Browning, F. Couenne, … M. Tayakout·bioRxiv·Feb 14, 2023