Graduate Program in Computational Modeling, UFJF, Rua José Lourenço Kelmer s/n, Campus Universitário, Bairro São Pedro, 36036-900 Juiz de Fora, MG, Brazil.
Comput Math Methods Med. 2012;2012:736394. doi: 10.1155/2012/736394. Epub 2012 Nov 8.
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.
急性感染和慢性感染。慢性细菌感染的特征是细菌感染严重且/或细菌生长迅速。在这些情况下，免疫反应无法完全清除感染，这可能导致形成一种称为微脓肿（或脓肿）的模式。微脓肿的特征是包含液体、细菌、免疫细胞（主要是中性粒细胞）和多种死亡细胞的区域。这种独特的形成模式只能通过捕捉人体免疫系统（HIS）时空动态的模型进行数值再现和研究。在这种情况下，我们的工作旨在开发和实施一个初步的计算模型来研究细菌感染过程中微脓肿的形成过程。
