RT Journal Article SR Electronic T1 Computational modeling of macrophage iron sequestration during host defense against Aspergillus JF bioRxiv FD Cold Spring Harbor Laboratory SP 2022.01.24.477648 DO 10.1101/2022.01.24.477648 A1 Bandita Adhikari A1 Yogesh Scindia A1 Luis Sordo Vieira A1 Henrique de Assis Lopes Ribeiro A1 Joseph Masison A1 Ning Yang A1 Luis L. Fonseca A1 Matthew Wheeler A1 Adam C. Knapp A1 Yu Mei A1 Brian Helba A1 Carl Atkinson A1 Will Schroeder A1 Borna Mehrad A1 Reinhard Laubenbacher YR 2022 UL http://biorxiv.org/content/early/2022/01/27/2022.01.24.477648.abstract AB Iron is essential to the virulence of Aspergillus species, and restricting iron availability is a critical mechanism of antimicrobial host defense. Macrophages recruited to the site of infection are at the crux of this process, employing multiple intersecting mechanisms to orchestrate iron sequestration from pathogens. To gain an integrated understanding of how this is achieved in invasive aspergillosis, we generated a transcriptomic time-series of the response of human monocyte-derived macrophages to Aspergillus and used this and the available literature to construct a mechanistic computational model of iron handling of macrophages during this infection. We found an overwhelming macrophage response beginning 2-4 hours after exposure to the fungus, which included upregulated transcription of iron import proteins transferrin receptor-1, divalent metal transporter-1, and ZIP family transporters, and downregulated transcription of the iron exporter ferroportin. The computational model, based on a discrete dynamical systems framework, consisted of 21 3-state nodes, and was validated with additional experimental data that were not used in model generation. The model accurately captures the steady state and the trajectories of most of the quantitatively measured nodes. In the experimental data, we surprisingly found that transferrin receptor-1 upregulation preceded the induction of inflammatory cytokines, a feature that deviated from model predictions. Model simulations suggested that direct induction of TfR1 after fungal recognition, independent of the Iron Regulatory Protein - Labile Iron Pool system, explains this finding. We anticipate that this model will contribute to a quantitative understanding of iron regulation as a fundamental host defense mechanism during aspergillosis.Importance Invasive pulmonary aspergillosis is a major cause of death among immunosuppressed individuals despite the best available therapy. Depriving the pathogen of iron is an essential component of host defense in this infection, but the mechanisms by which the host achieves this are complex. To understand how recruited macrophages mediate iron deprivation during the infection, we developed and validated a mechanistic computational model that integrates the available information in the field. The insights provided by this approach can help in designing iron modulation therapies as anti-fungal treatments.