Investigation of Two-Component Hydrogel System for the Tissue Regeneration from Simulation

Abstract

AbstractTissue degenerative diseases pose significant global health challenges. Currently, hydrogel therapy stands as a promising approach to address these conditions. To explore its potential, we developed a computational simulation model to mimic hydrogel behavior accurately and precisely measure its degradation rate while incorporating dynamics associated with cell growth. This model aimed to investigate the relationship between a two-component hydrogel system and cell growth, assessing its feasibility for tissue regeneration. Our analysis revealed that the nutritional support for neural stem cells exceeds that of bone marrow cells, followed by other types of cells. This is significant considering the challenge in culturing neural stem cells compared to the relative ease of culturing other cell types. Additionally, we found that there isn’t a single solution to determine the ‘optimal’ conditions for cell growth. Different tissue regeneration processes require distinct conditions to establish what could be considered as ‘suitable’ growth environments. Lastly, it’s important to note that these ‘suitable’ conditions can be fine-tuned by adjusting various parameters.