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Santos2018 - Pneumococcal infection in alveoli

ABSTRACT: Multiscale mathematical model of pneumococcal alveolar infection. This model analyses the role of cellular and molecular interactions during the first 10 h after alveolar invasion of Streptococcus pneumoniae bacteria. By “multi-level” we mean that we simulated the interplay between different temporal and spatial scales in a single computational model. In this instance, we included the intracellular scale of processes driving lung epithelial cell activation together with the scale of cell-to-cell interactions between bacteria and alveolar macrophages at the alveolar tissue. The model combines agent-based modelling and ODE modelling strategies. The original article of the article can be found in https://doi.org/10.3389/fcimb.2018.00159.

SUBMITTER: Guido Santos 

PROVIDER: MODEL1805170001 | biostudies-other |

SECONDARY ACCESSION(S): 29868515

REPOSITORIES: biostudies-other

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Publications

Bacterial Adherence and Dwelling Probability: Two Drivers of Early Alveolar Infection by <i>Streptococcus pneumoniae</i> Identified in Multi-Level Mathematical Modeling.

Santos Guido G   Lai Xin X   Eberhardt Martin M   Vera Julio J  

Frontiers in cellular and infection microbiology 20180515

Pneumococcal infection is the most frequent cause of pneumonia, and one of the most prevalent diseases worldwide. The population groups at high risk of death from bacterial pneumonia are infants, elderly and immunosuppressed people. These groups are more vulnerable because they have immature or impaired immune systems, the efficacy of their response to vaccines is lower, and antibiotic treatment often does not take place until the inflammatory response triggered is already overwhelming. The immu  ...[more]

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