SEEDBiomed · COMBI · Proliferative Phase

MechaProlif Model

Myofibroblasts and fibroblasts are the main drivers of the proliferative phase — but to what extent is this phase disrupted in burns? This model, published at IEEE CMISF 2023, explores the interplay between cells, cytokines, and collagen under dysregulated inflammation.

01

The Modeling Approach

Myo- and fibroblast activity is a critical factor in closing the wound and achieving the best scar outcome after burn injury. The MechaProlif model focuses on the transition from the inflammatory to the proliferative phase — and into early remodeling — capturing the key cell types and molecular signals that govern this window.

MechaProlif conceptual model
Figure 1. Conceptual model of the proliferative phase. Cell types: macrophages type II (AMII), fibroblasts (AF), mast cells (AMC), myofibroblasts (AM), and α-SMA-expressing myofibroblasts (A). Key mediators: IL-8 (I) and TGF-β1 (T). Modeled proteins: collagen III (CIII) and I (CI). Adapted from Bumbuc et al., 2023.

Rate parameters: κ (production/proliferation increase), λ (transition rates), ρ (decay rates), and μ govern the dynamics of cell populations and protein concentrations.

The model revolves around the end of the inflammatory phase and the beginning of the proliferative phase, using equilibrium values from the inflammatory model as initial conditions.

TGF-β1 is the primary driver of myofibroblast differentiation and collagen I synthesis. IL-8 mediates neutrophil recruitment and modulates the transition between phases.

02

Simulation Scenarios

Two distinct inflammatory profiles were tested to understand how variations in the transition from inflammation to proliferation affect cell dynamics and collagen deposition:

MechaProlif scenarios
Figure 2. Left of the dotted line: inflammatory phase dynamics for anti-inflammatory (AI) and pro-inflammatory (PI) cytokines and cell counts. Right: proliferative phase dynamics under each scenario. Dotted red lines indicate possible burn-injury ongoing inflammation events. Adapted from Bumbuc et al., 2023.

The dotted black line in each plot marks the assumed starting conditions for the proliferative phase — derived from inflammatory phase equilibrium values (Figure 1).

Parameter search was conducted to fit dynamics consistent with what is observed in burn wounds as a first simulation. Full results in the IEEE publication.

Scenario 1

Anti-inflammatory dominance with periodic pro-inflammatory bursts

The inflammatory stage ends with PI cytokines near AI levels, but regular intense inflammatory episodes — triggered by continuous stimuli — periodically drive PI concentrations much higher. Designed to analyse the effect of recurrent inflammation on proliferative cell activity: does periodic PI increase amplify or suppress wound closure?

Scenario 2

Ambiguous interplay between pro- and anti-inflammatory signals

PI and AI mediators are intertwined during the phase transition — neither clearly dominant. Event-driven inflammation can significantly spike PI signals, complicating pattern identification. Macrophage type I/II balance is unspecified, challenging accepted polarisation models and their role in wound healing dynamics.

03

How to Read the Model

Each agent is a cell type; other variables are proteins. Starting right after burn injury — variables T (TGF-β1) and I (IL-8) give the cytokine concentrations in arbitrary units.

In Figure 1, the network diagram shows the relationships between all agents and proteins from the beginning of the proliferative phase. The dotted black line in Figure 2 shows expected dynamics for each cell type and cytokine at phase entry — these serve as initial conditions.

From those values, the model propagates the interactions described in Figure 1. The parameter search fits dynamics that are biologically plausible and relatable to what actually occurs in burn wounds. For full results, consult the IEEE publication.

Simulator — Coming Soon

An interactive parameter simulator for the MechaProlif model is currently in development. It will allow direct exploration of how changing κ, λ, ρ, and μ affects wound closure dynamics and collagen composition.

🔬 A live model simulator will be embedded here — stay tuned.
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