| Autor: |
Pigozzo AB; Graduate 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, Macedo GC, Weber dos Santos R, Lobosco M |
| Jazyk: |
angličtina |
| Zdroj: |
Computational and mathematical methods in medicine [Comput Math Methods Med] 2012; Vol. 2012, pp. 736394. Date of Electronic Publication: 2012 Nov 08. |
| DOI: |
10.1155/2012/736394 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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