Dataset Information

The molecular programs underpinning 'tolerance' and 'resistance' in health and viral infection

ABSTRACT: The immune protection against invading pathogens is governed by pathogen elimination (‘resistance’) and by limitation of tissue damage that results from host-pathogen interactions (‘tolerance’). However, distinct molecular states of resistance and tolerance remain obscure. Here, we collected longitudinal lung transcriptomes and clinical phenotypes of disease severity during influenza A virus (IAV) infection across 39 genetically-distinct mouse strains (32 strains of time series data and additional 7 strains with selected time points). Using transcriptional diversity in this data, we uncovered two key programs that together describe the cellular states for resistance and tolerance. The identified programs offer an unprecedented comprehensive view on shared and distinct roles of resistance and tolerance for the regulation of immune defense – for instance, we identified an antagonistic regulation of resistance and tolerance on protein production. Importantly, the framework reveals that both inflammatory states and the healthy steady state are remarkably diverse in resistance and tolerance levels, with implications on disease severity: a baseline state (before infection) of high tolerance and low resistance results in increased severity of IAV infection. Overall, our work provides a framework for the study of resistance and tolerance that could aid in clinical diagnosis and disease management.

ORGANISM(S): Influenza A virus (A/Puerto Rico/8/1934(H1N1)) Mus musculus

PROVIDER: GSE174253 | GEO | 2022/12/27

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Baris Hancioglu, David Swigon & Gilles Clermont. A dynamical model of human immune response to influenza A virus infection. Journal of Theoretical Biology 246, 1 (2007). We present a simplified dynamical model of immune response to uncomplicated influenza A virus (IAV) infection, which focuses on the control of the infection by the innate and adaptive immunity. Innate immunity is represented by interferon-induced resistance to infection of respiratory epithelial cells and by removal of infected cells by effector cells (cytotoxic T-cells and natural killer cells). Adaptive immunity is represented by virus-specific antibodies. Similar in spirit to the recent model of Bocharov and Romanyukha [1994. Mathematical model of antiviral immune response. III. Influenza A virus infection. J. Theor. Biol. 167, 323-360], the model is constructed as a system of 10 ordinary differential equations with 27 parameters characterizing the rates of various processes contributing to the course of disease. The parameters are derived from published experimental data or estimated so as to reproduce available data about the time course of IAV infection in a naïve host. We explore the effect of initial viral load on the severity and duration of the disease, construct a phase diagram that sheds insight into the dynamics of the disease, and perform sensitivity analysis on the model parameters to explore which ones influence the most the onset, duration and severity of infection. To account for the variability and speed of adaptation of the adaptive response to a particular virus strain, we introduce a variable that quantifies the antigenic compatibility between the virus and the antibodies currently produced by the organism. We find that for small initial viral load the disease progresses through an asymptomatic course, for intermediate value it takes a typical course with constant duration and severity of infection but variable onset, and for large initial viral load the disease becomes severe. This behavior is robust to a wide range of parameter values. The absence of antibody response leads to recurrence of disease and appearance of a chronic state with nontrivial constant viral load.

Dataset Information

The molecular programs underpinning 'tolerance' and 'resistance' in health and viral infection

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets