Dataset Information

Fribourg2014 - Dynamics of viral antagonism and innate immune response (H1N1 influenza A virus - NC/99)

ABSTRACT: Fribourg2014 - Dynamics of viral antagonism and innate immune response (H1N1 influenza A virus - NC/99) The dynamics of the interplay between the viral antagonism and the innate immune response has been studied using modelling approaches. The responses of human monocyte-derived dendritic cells infected by two influenza A H1N1 strains (the pandemic swine-origin A/California/4/2009 (Cal/09) and the seasonal A/New Caledonia/20/1999 (NC/99)) that have different clinical outcomes have been modelled. From the time course gene expression measurements of a set of selected genes, the dynamic features of viral antagonism and innate immune response are extracted. It is found that the strength and the time scale of action of viral antagonism is significantly different between the two viruses. This model describes the viral infection by seasonal NC/99. This model is described in the article: Model of influenza A virus infection: Dynamics of viral antagonism and innate immune response. Fribourg M, Hartmann B, Schmolke M, Marjanovic N, Albrecht RA, García-Sastre A, Sealfon SC, Jayaprakash C, Hayot F. J Theor Biol. 2014 Mar 2;351C:47-57. Abstract: Viral antagonism of host responses is an essential component of virus pathogenicity. The study of the interplay between immune response and viral antagonism is challenging due to the involvement of many processes acting at multiple time scales. Here we develop an ordinary differential equation model to investigate the early, experimentally measured, responses of human monocyte-derived dendritic cells to infection by two H1N1 influenza A viruses of different clinical outcomes: pandemic A/California/4/2009 and seasonal A/New Caledonia/20/1999. Our results reveal how the strength of virus antagonism, and the time scale over which it acts to thwart the innate immune response, differs significantly between the two viruses, as is made clear by their impact on the temporal behavior of a number of measured genes. The model thus sheds light on the mechanisms that underlie the variability of innate immune responses to different H1N1 viruses. This model is hosted on BioModels Database and identified by: MODEL1403310001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

DISEASE(S): Influenza

SUBMITTER: Miguel Fribourg

PROVIDER: BIOMD0000000529 | BioModels | 2014-04-03

REPOSITORIES: BioModels

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Publications

Model of influenza A virus infection: dynamics of viral antagonism and innate immune response.

Fribourg M M Hartmann B B Schmolke M M Marjanovic N N Albrecht R A RA García-Sastre A A Sealfon S C SC Jayaprakash C C Hayot F F

Journal of theoretical biology 20140302

Viral antagonism of host responses is an essential component of virus pathogenicity. The study of the interplay between immune response and viral antagonism is challenging due to the involvement of many processes acting at multiple time scales. Here we develop an ordinary differential equation model to investigate the early, experimentally measured, responses of human monocyte-derived dendritic cells to infection by two H1N1 influenza A viruses of different clinical outcomes: pandemic A/Californ ...[more]

PMID: 24594370

Publication: 1/3

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Project description:Fribourg2014 - Dynamics of viral antagonism and innate immune response (H1N1 influenza A virus - Cal/09) The dynamics of the interplay between the viral antagonism and the innate immune response has been studied using modelling approaches. The responses of human monocyte-derived dendritic cells infected by two influenza A H1N1 strains (the pandemic swine-origin A/California/4/2009 (Cal/09) and the seasonal A/New Caledonia/20/1999 (NC/99)) that have different clinical outcomes have been modelled. From the time course gene expression measurements of a set of selected genes, the dynamic features of viral antagonism and innate immune response are extracted. It is found that the strength and the time scale of action of viral antagonism is significantly different between the two viruses. This model describes the viral infection by seasonal Cal/09. This model is described in the article: Model of influenza A virus infection: Dynamics of viral antagonism and innate immune response. Fribourg M, Hartmann B, Schmolke M, Marjanovic N, Albrecht RA, García-Sastre A, Sealfon SC, Jayaprakash C, Hayot F. J Theor Biol. 2014 Mar 2;351C:47-57. Abstract: Viral antagonism of host responses is an essential component of virus pathogenicity. The study of the interplay between immune response and viral antagonism is challenging due to the involvement of many processes acting at multiple time scales. Here we develop an ordinary differential equation model to investigate the early, experimentally measured, responses of human monocyte-derived dendritic cells to infection by two H1N1 influenza A viruses of different clinical outcomes: pandemic A/California/4/2009 and seasonal A/New Caledonia/20/1999. Our results reveal how the strength of virus antagonism, and the time scale over which it acts to thwart the innate immune response, differs significantly between the two viruses, as is made clear by their impact on the temporal behavior of a number of measured genes. The model thus sheds light on the mechanisms that underlie the variability of innate immune responses to different H1N1 viruses. This model is hosted on BioModels Database and identified by: MODEL1403310002. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Classical antiviral therapy inhibit viral proteins and are subject to resistance. To counteract this emergence, alternative strategy has been developed that target cellular factors. We hypothesized that such approach could also be useful to identify broad antivirals. Influenza A virus was used as a model for viral diversity and need for therapy against unpredictable viruses as recently underlined by the H1N1 pandemic. We proposed to identify a gene-expression signature associated with infection with different influenza A virus subtypes which could help to identify potential antiviral drugs with broad spectrum. Cellular gene expression response to infection with five different human and avian influenza viruses strains was analyzed and 300 genes were determined as differentially expressed between infected and non-infected samples. Strikingly, only a few genes were induced by infection and related to immune response. A more concise list was used to screen connectivity map, a database of drug-associated gene expression profiles, for molecules with inverse profiles than the signature of infection. We hypothesized that such compounds would induce an unfavorable cellular environment for influenza virus replication. Eight potential antivirals including ribavirin were identified, and six inhibited influenza viral growth in vitro. The new pandemic H1N1 virus, which was not used to define the gene expression signature of infection, was inhibited by five of the eight identified molecules, demonstrating that this strategy could help to identify broad spectrum antivirals. This is the first study showing that a gene expression based-screening can be used to identify antivirals. Such approaches could accelerate the drug discovery progress and could be extended to other pathogens. A549 (human lung epithelial cells) were infected with 5 different influenza A strains (A/New Caledonia/20/99 (H1N1), A/Moscow/10/99 (H3N2), A/Lyon/969/09 (H1N1 SOI-V), A/Turkey/582/2006 (H5N1), A/Finch/England/2051/94 (H5N2), and A/Chicken/Italy/2076/99 (H7N1)) or mock infected. Five independant replicates were done and hybridized on a different microarray. The overall design is thus composed of 5 mock samples, and 5x5 infected samples.

Project description:In June 2009, the World Health Organization declared the first influenza pandemic of the 21st century, due to the emergence and rapid spread of new swine origin H1N1 influenza A virus. In contrast to seasonal influenza infections, which typically cause morbidity and mortality in the elderly, this virus caused severe infection in young adults and not the elderly. This phenomenon was attributed to the presence of cross-neutralizing antibodies acquired by older individuals from previous exposure to swine origin influenza. However, this hypothesis could not be empirically tested using clinical data. To address this question, we investigated viral replication and the development of the immune response in naï12 years old) and aged (20 to 24 years old) female rhesus macaques infected with A/California/04/2009 (H1N1), one of the circulating pandemic strains in 2009. We compared viral loads as well as the kinetics and magnitude of the adaptive immune response in peripheral blood and bronchoalveolar lavage samples (BAL) collected longitudinally for 99 days post-infection. Although, adult animals exhibited earlier T cell responses in peripheral blood, aged animals generated a robust T cell response with comparable kinetics and magnitude as those observed in young animals in BAL. Moreover, aged animals generated a higher hemagglutination inhibition titer compared to young animals. We also measured the concentration of several cytokines in BAL supernatant. With the exception of IL-8, which was higher in aged animals, we found no differences in IFNa, IFNb, TNFa, IL-1r, IL-6, IL-15, IL-17, or MCP1 levels. Finally, we compared gene expression infection using microarray analysis of BAL samples taken on days 0, 4, 7, 10, and 14 pi. Our analyses revealed that the largest difference in host response between aged and young animals was detected day 4 post-infection, with significant enrichment for genes associated with inflammation, the innate immune response, and T cell activation in aged animals. The ability of aged animals to generate a robust immune response, especially antibody response, following infection with 2009 H1N1 virus could explain the lack of morbidity normally observed with seasonal influenza viruses in this vulnerable population. 16 female rhesus macaques (Macaca Mulatta) 10-12 (Adult) and 20-24 years (Old/Aged) of age were used in these studies. Animals were infected with A/California/04/ 2009 H1N1 using a combinatory of intra-tracheal (4ml), intranasal (0.5 ml/nostril), and conjunctival (0.5 ml/eyelid) routes for a total dose of 7x106 TCID50 dose. Microarray analysis was performed on Bronchoalveolar lavage (BAL) samples collected on days 0, 4, 7, 10 and 14. Note: One of the Day 0 array did not pass QC metrics so for this animal the average of the other Day 0 samples from that group was utilized. At the end of the study animals were released back to the colony.

Project description:Miao2010 - Innate and adaptive immune responses to primary Influenza A Virus infection This model is described in the article: Quantifying the early immune response and adaptive immune response kinetics in mice infected with influenza A virus. Miao H, Hollenbaugh JA, Zand MS, Holden-Wiltse J, Mosmann TR, Perelson AS, Wu H, Topham DJ. J. Virol. 2010 Jul; 84(13): 6687-6698 Abstract: Seasonal and pandemic influenza A virus (IAV) continues to be a public health threat. However, we lack a detailed and quantitative understanding of the immune response kinetics to IAV infection and which biological parameters most strongly influence infection outcomes. To address these issues, we use modeling approaches combined with experimental data to quantitatively investigate the innate and adaptive immune responses to primary IAV infection. Mathematical models were developed to describe the dynamic interactions between target (epithelial) cells, influenza virus, cytotoxic T lymphocytes (CTLs), and virus-specific IgG and IgM. IAV and immune kinetic parameters were estimated by fitting models to a large data set obtained from primary H3N2 IAV infection of 340 mice. Prior to a detectable virus-specific immune response (before day 5), the estimated half-life of infected epithelial cells is approximately 1.2 days, and the half-life of free infectious IAV is approximately 4 h. During the adaptive immune response (after day 5), the average half-life of infected epithelial cells is approximately 0.5 days, and the average half-life of free infectious virus is approximately 1.8 min. During the adaptive phase, model fitting confirms that CD8(+) CTLs are crucial for limiting infected cells, while virus-specific IgM regulates free IAV levels. This may imply that CD4 T cells and class-switched IgG antibodies are more relevant for generating IAV-specific memory and preventing future infection via a more rapid secondary immune response. Also, simulation studies were performed to understand the relative contributions of biological parameters to IAV clearance. This study provides a basis to better understand and predict influenza virus immunity. This model is hosted on BioModels Database and identified by: BIOMD0000000546. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Fribourg2014 - Dynamics of viral antagonism and innate immune response (H1N1 influenza A virus - NC/99)

Publications

Model of influenza A virus infection: dynamics of viral antagonism and innate immune response.

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