Modeling Influenza Virus Infection: A Roadmap for Influenza Research

@article{Boianelli2015ModelingIV,
  title={Modeling Influenza Virus Infection: A Roadmap for Influenza Research},
  author={Alessandro Boianelli and Van Kinh Nguyen and Thomas Ebensen and Kai Schulze and Esther Wilk and Niharika Sharma and Sabine Stegemann-Koniszewski and Dunja Bruder and Franklin R. Toapanta and Carlos Alberto Guzm{\'a}n and Michael Meyer-Hermann and Esteban Abelardo Hern{\'a}ndez-Vargas},
  journal={Viruses},
  year={2015},
  volume={7},
  pages={5274 - 5304}
}
Influenza A virus (IAV) infection represents a global threat causing seasonal outbreaks and pandemics. Additionally, secondary bacterial infections, caused mainly by Streptococcus pneumoniae, are one of the main complications and responsible for the enhanced morbidity and mortality associated with IAV infections. In spite of the significant advances in our knowledge of IAV infections, holistic comprehension of the interplay between IAV and the host immune response (IR) remains largely… 
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103 Citations
Highly Influential Citations
6
Background Citations
29
Methods Citations
9

103 Citations

Host‐pathogen kinetics during influenza infection and coinfection: insights from predictive modeling
  • A. Smith
  • Biology
    Immunological reviews
  • 2018
TLDR
Recent advances in modeling influenza‐related infections, the novel biological insight that has been gained through modeling, the importance of model‐driven experimental design, and future directions of the field are reviewed.
Influenza Interaction with Cocirculating Pathogens, and Its Impact on Surveillance, Pathogenesis and Epidemic Profile: A Key Role for Mathematical Modeling
TLDR
Evidence is mounting that influenza virus interacts with other pathogens infecting the human respiratory tract, and it is demonstrated that the development of multipathogen models is essential to assess the true public health burden of influenza, and help improve planning and evaluation of control measures.
Influenza interaction with cocirculating pathogens and its impact on surveillance, pathogenesis, and epidemic profile: A key role for mathematical modelling
TLDR
It is demonstrated that the development of multipathogen models is essential to assessing the true public health burden of influenza and that it is needed to help improve planning and evaluation of control measures.
An agent-based model simulation of influenza interactions at the host level: insight into the influenza-related burden of pneumococcal infections
TLDR
A novel agent-based model (ABM) of influenza transmission during interaction with another respiratory pathogen is applied and provides a unique framework to generate in silico data for different scenarios and thereby test mechanistic hypotheses.
The Contribution of Viral Proteins to the Synergy of Influenza and Bacterial Co-Infection
TLDR
The key role of several IAV proteins known to play a role in modulating the immune defense of the host, which consequently escalates the development of secondary bacterial infection, most often caused by Streptococcus pneumoniae is discussed.
Modeling the within-host co-infection of influenza A virus and pneumococcus
Bacterial Pneumonia Fate Decisions
Mathematical Analysis of Viral Replication Dynamics and Antiviral Treatment Strategies: From Basic Models to Age-Based Multi-Scale Modeling
TLDR
Important achievements made by mathematical modeling of viral kinetics on the extracellular, intracellular, and multi-scale level for Human Immunodeficiency Virus, Hepatitis C Virus, Influenza A Virus, Ebola Virus, Dengue Virus, and Zika Virus are reviewed.
In-host Mathematical Modelling of COVID-19 in Humans
Influenza Virus Infection Model With Density Dependence Supports Biphasic Viral Decay
TLDR
A new model is developed that could simultaneously quantify the different phases of viral growth and decay with high accuracy and suggests that the slow and fast phases of virus decay are due to the infected cell clearance rate changing as the density of infected cells changes.
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References

SHOWING 1-10 OF 184 REFERENCES
Ebola virus infection modeling and identifiability problems
TLDR
A first mathematical approach of EBOV dynamics and the estimation of standard parameters in viral infections kinetics is the key contribution of this work, paving the way for future modeling works on E BOV infection.
The inflammatory response to influenza A virus (H1N1): An experimental and mathematical study.
Influenza A virus infection kinetics: quantitative data and models
TLDR
This work shows how viral kinetic models for influenza have been used to provide insight into influenza pathogenesis and treatment, and highlights the challenges of viral kinetic analysis, including accurate model formulation, estimation of important parameters, and the collection of detailed data sets that measure multiple variables simultaneously.
Dynamics of Influenza Virus Infection and Pathology
TLDR
A powerful role for innate immunity is indicated in controlling the rapid peak in virus shedding and target cell depletion in pandemic influenza, using detailed data from equine influenza virus infection as a model of human influenza based only on virus-shedding data.
Multiscale Modeling of Influenza A Virus Infection Supports the Development of Direct-Acting Antivirals
TLDR
A multiscale model of influenza A virus infection which comprises both the intracellularlevel where the virus synthesizes its proteins, replicates its genome, and assembles new virions and the extracellular level where it spreads to new host cells is developed.
Population Modeling of Influenza A/H1N1 Virus Kinetics and Symptom Dynamics
TLDR
This approach extends previous work by including the innate response and providing realistic estimates of infection and illness parameters, taking into account the strong interindividual variability, and could help to optimize studies of influenza VK and SD and to predict the effect of antivirals on infectiousness and symptoms.
Quantifying the Early Immune Response and Adaptive Immune Response Kinetics in Mice Infected with Influenza A Virus
TLDR
This study provides a basis to better understand and predict influenza virus immunity and confirms that CD8+ CTLs are crucial for limiting infected cells, while virus-specific IgM regulates free IAV levels.
Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
TLDR
A mathematical model including both innate and adaptive immune responses is developed to study the within-host dynamics of equine influenza virus infection in horses and shows that the rapid and substantial viral decline after the peak can be explained by the killing of infected cells mediated by interferon activated cells, such as natural killer cells, during the innate immune response.
Kinetics of Influenza A Virus Infection in Humans
TLDR
A series of mathematical models of increasing complexity, which incorporate target cell limitation and the innate interferon response, are utilized to examine influenza A virus kinetics in the upper respiratory tracts of experimentally infected adults to suggest that antiviral treatments have a large hurdle to overcome in moderating symptoms and limiting infectiousness.
A review of mathematical models of influenza A infections within a host or cell culture: lessons learned and challenges ahead
TLDR
This work explores the symbiotic role of mathematical models and experimental assays in improving the quantitative understanding of influenza infection dynamics, and discusses the challenges in developing better, more comprehensive models for the course of influenza infections within a host or cell culture.
...
...