Multiscale model of nutritional immunity in invasive pulmonary aspergillosis

Multiscale model of nutritional immunity in invasive pulmonary aspergillosis

The purpose of the work is to develop a multiscale computational model to simulate the invasion of the human lungs by spores of the opportunistic fungus Aspergillus fumigatus. In particular, we explore the role of nutritional immunity in clearing infection, with a focus on iron. This project is currently funded by The National Institutes of Health and The National Science Foundation of the United States of America (see funding section ). The team includes members from UF Health and Kitware.

Invasive pulmonary aspergillosis (IPA) is initiated by the inhalation of spores that then reach the alveolar space. Recognition of spores by the innate immune system and epithelial cells lead to a immune response recruiting various leukocytes to the site of infection.

We are building a 3D agent-based model of the innate immune response to invasive pulmonary aspergillosis with a focus on the “battle over iron” that occurs in the alveolar space between the host and the fungus. Agent-based modeling aims to model how autonomous individuals interact with each other and their computational environment. For us, the individual agents are:

  1. Alveolar macrophages.
  2. Monocyte derived macrophages.
  3. Monocyte derived dendritic cells (DCs).
  4. Neutrophils.
  5. Epithelial cells.
  6. A. fumigatus

Agents behave according to a set of rules that are derived from literature and de novo experiments. For example, the monocyte derived macrophages respond to the sensing of A. fumigatus and respond accordingly to the output of an intracellular Generalized Boolean Network (GBN). The GBN is built from a combination of literature results and analysis of a transcriptomics dataset generated as part of this project.

Importantly, we are implementing the model in an innovative modularized framework to make the model extendable and customizable by the community.

Transparent model building and information management

Multiscale mathematical modeling of disease brings together a wide array of scientists with various backgrounds. As a result, a diverse set of data, code, and tools are utilized in the model building effort, all of which needs to be freely available and understandable to enable collaboration and replication. To this end, we have invested in creating a comprehensive information management system to empower various information consumers including bench scientists, modeling and simulation experts, and internal lab members to find the information they need to use and extend our models.

Modular software design

The major innovation that the modeling design implements is the separation of multiscale dynamics and components into individual “modules.” The full set of biological, chemical, and physical behaviors remains encoded within the model but the software architecture is such that each module is a unique collection of code packaged with its own computational environment. The goal of such structure is to remove any interdependence between modules so that a modeler interested in extending or modifying the model can do so without changing the parts of the model that are outside the scope of the desired changes.


Team Leads

Dr. Reinhard Laubenbacher
Dr. Reinhard Laubenbacher
Laboratory for Systems Medicine
UF Health
Dr. Borna Mehrad
Dr. Borna Mehrad
UF Health
Dr. Will Schroeder
Dr. William Schroeder