NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, Irvine, California.
Center for Complex Biological Systems, University of California, Irvine, Irvine, California.
Exp Dermatol. 2019 Apr;28(4):493-502. doi: 10.1111/exd.13909.
Following injury, skin activates a complex wound healing programme. While cellular and signalling mechanisms of wound repair have been extensively studied, the principles of epidermal-dermal interactions and their effects on wound healing outcomes are only partially understood. To gain new insight into the effects of epidermal-dermal interactions, we developed a multiscale, hybrid mathematical model of skin wound healing. The model takes into consideration interactions between epidermis and dermis across the basement membrane via diffusible signals, defined as activator and inhibitor. Simulations revealed that epidermal-dermal interactions are critical for proper extracellular matrix deposition in the dermis, suggesting these signals may influence how wound scars form. Our model makes several theoretical predictions. First, basal levels of epidermal activator and inhibitor help to maintain dermis in a steady state, whereas their absence results in a raised, scar-like dermal phenotype. Second, wound-triggered increase in activator and inhibitor production by basal epidermal cells, coupled with fast re-epithelialization kinetics, reduces dermal scar size. Third, high-density fibrin clot leads to a raised, hypertrophic scar phenotype, whereas low-density fibrin clot leads to a hypotrophic phenotype. Fourth, shallow wounds, compared to deep wounds, result in overall reduced scarring. Taken together, our model predicts the important role of signalling across dermal-epidermal interface and the effect of fibrin clot density and wound geometry on scar formation. This hybrid modelling approach may be also applicable to other complex tissue systems, enabling the simulation of dynamic processes, otherwise computationally prohibitive with fully discrete models due to a large number of variables.
受伤后,皮肤会启动一个复杂的伤口愈合程序。虽然细胞和信号机制的伤口修复已经得到了广泛的研究,但表皮-真皮相互作用的原理及其对伤口愈合结果的影响仅部分被理解。为了深入了解表皮-真皮相互作用的影响,我们开发了一个多尺度、混合的皮肤伤口愈合数学模型。该模型考虑了通过可扩散信号(定义为激活剂和抑制剂)在基底膜处表皮和真皮之间的相互作用。模拟结果表明,表皮-真皮相互作用对于真皮中适当的细胞外基质沉积至关重要,这表明这些信号可能影响伤口疤痕的形成方式。我们的模型做出了几个理论预测。首先,表皮激活剂和抑制剂的基础水平有助于维持真皮处于稳定状态,而它们的缺失会导致类似疤痕的真皮表型升高。其次,基底表皮细胞在伤口触发时增加激活剂和抑制剂的产生,加上快速的再上皮化动力学,会减少真皮疤痕的大小。第三,高密度纤维蛋白凝块导致升高的、肥厚性疤痕表型,而低密度纤维蛋白凝块导致低营养表型。第四,与深伤口相比,浅伤口会导致整体疤痕减少。总之,我们的模型预测了信号在真皮-表皮界面的重要作用,以及纤维蛋白凝块密度和伤口几何形状对疤痕形成的影响。这种混合建模方法也可能适用于其他复杂的组织系统,使动态过程的模拟成为可能,否则由于变量数量众多,完全离散的模型在计算上是不可行的。