Modeling the immune response to Salmonella during typhoid. (6th January 2021)

• Record Type: Journal Article
• Authors: Dhingra, Divy; Marathe, Sandhya Amol; Sharma, Nandita; Marathe, Amol; Chakravortty, Dipshikha
• Is Part Of: International immunology. Volume 33:Number 5(2021)
• Page Start: 281
• Page End: 298
• Publication Date: 2021-01-06
• Subjects: active disease -- clearance -- latency -- mesenteric lymph node; Immunology -- Periodicals; 616.079
• DOI: 10.1093/intimm/dxab003
• Languages: English
• ISSNs: 0953-8178

Abstract

Abstract: Several facets of the host immune response to Salmonella infection have been studied independently at great depths to understand the progress and pathogenesis of Salmonella infection. The circumstances under which a Salmonella -infected individual succumbs to an active disease, evolves as a persister or clears the infection are not understood in detail. We have adopted a system-level approach to develop a continuous-time mechanistic model. We considered key interactions of the immune system state variables with Salmonella in the mesenteric lymph node to determine the final disease outcome deterministically and exclusively temporally. The model accurately predicts the disease outcomes and immune response trajectories operational during typhoid. The results of the simulation confirm the role of anti-inflammatory (M2 ) macrophages as a site for persistence and relapsing infection. Global sensitivity analysis highlights the importance of both bacterial and host attributes in influencing the disease outcome. It also illustrates the importance of robust phagocytic and anti-microbial potential of M1 macrophages and dendritic cells (DCs) in controlling the disease. Finally, we propose therapeutic strategies for both antibiotic-sensitive and antibiotic-resistant strains (such as IFN-γ therapy, DC transfer and phagocytic potential stimulation). We also suggest prevention strategies such as improving the humoral response and macrophage carrying capacity, which could complement current vaccination schemes for enhanced efficiency. Abstract : A mathematical model of the immune responses to Salmonella