Finite Element Modelling of a Cellular Electric Microenvironment

Area of Science:

• Biomedical Engineering
• Cellular Biology
• Computational Modeling

Background:

• Electrical stimulation (ES) is a promising therapy for tissue healing and regeneration.
• In vitro studies offer broad experimental ranges but face challenges in clinical translation due to device and pathway differences.
• Understanding cellular responses to electrical fields is crucial for optimizing ES therapies.

Purpose of the Study:

• To develop an in silico method for bridging the gap between in vitro and in vivo electrical stimulation research.
• To model the cellular microenvironment and its response to electric fields.
• To demonstrate how charge distribution can link in vitro findings to in vivo applications.

Main Methods:

• Utilized in silico finite element modeling (FEM) to simulate the cellular microenvironment.
• Analyzed the coupling of electric fields (EF) with geometric structures to determine charge distribution.
• Investigated the impact of time-dependent inputs on charge movement.

Main Results:

• The FEM model successfully described the cellular microenvironment and EF-induced changes.
• Demonstrated how EF and geometric structure influence charge distribution.
• Showcased the model's relevance through in vitro (PEDOT-PSS scaffolds) and in vivo (collagen ECM) case studies.

Conclusions:

• In silico modeling provides a method to link in vitro and in vivo electrical stimulation research.
• Charge distribution is a key factor in understanding cellular responses to electrical fields across different experimental settings.
• The developed model aids in optimizing clinical applications of electrical stimulation for tissue regeneration.