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Computational modeling of microabscess formation
Alexandre Bittencourt Pigozzo1, Gilson Costa Macedo, Rodrigo Weber dos Santos
1Graduate Program in Computational Modeling, UFJF, Rua José Lourenço Kelmer s/n, Campus Universitário, Bairro São Pedro, 36036-900 Juiz de Fora, MG, Brazil. alexbprr@gmail.com
Abstract:
Bacterial infections can be of two types: acute or chronic. The chronic bacterial infections are characterized by being a large bacterial infection and/or an infection where the bacteria grows rapidly. In these cases, the immune response is not capable of completely eliminating the infection which may lead to the formation of a pattern known as microabscess (or abscess). The microabscess is characterized by an area comprising fluids, bacteria, immune cells (mainly neutrophils), and many types of dead cells. This distinct pattern of formation can only be numerically reproduced and studied by models that capture the spatiotemporal dynamics of the human immune system (HIS). In this context, our work aims to develop and implement an initial computational model to study the process of microabscess formation during a bacterial infection.
Insights
This study introduces a computational model to simulate chronic bacterial infections and microabscess formation. The model captures the complex dynamics of the human immune system (HIS) to better understand these persistent infections.
Area of Science:
- Immunology
- Computational Biology
- Infectious Diseases
Background:
- Chronic bacterial infections pose significant health challenges due to the immune system's inability to fully clear them.
- These infections can lead to the formation of microabscesses, complex structures containing bacteria, immune cells, and cellular debris.
- Understanding the spatiotemporal dynamics of the human immune system (HIS) is crucial for studying microabscess development.
Purpose of the Study:
- To develop and implement an initial computational model for simulating microabscess formation during bacterial infections.
- To provide a tool for numerically studying the complex processes involved in chronic infection and immune response.
Main Methods:
- Development of a computational model incorporating spatiotemporal dynamics of the human immune system (HIS).
- Simulation of bacterial infection progression and microabscess development.
Main Results:
- The model aims to numerically reproduce and analyze the formation of microabscesses.
- The study lays the groundwork for further computational investigations into chronic bacterial infections.
Conclusions:
- Computational modeling offers a valuable approach to study complex biological processes like microabscess formation.
- This work provides a foundation for future research into the dynamics of bacterial infections and immune responses.
