Modeling Influenza Virus Infection: A Roadmap for Influenza Research
| Autor: | Dunja Bruder, Van Kinh Nguyen, Kai Schulze, Niharika Sharma, Carlos A. Guzmán, Sabine Stegemann-Koniszewski, Michael Meyer-Hermann, Franklin R. Toapanta, Esteban A. Hernandez-Vargas, Thomas Ebensen, Alessandro Boianelli, Esther Wilk |
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| Přispěvatelé: | BRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56, 38106 Braunschweig, Germany. |
| Rok vydání: | 2015 |
| Předmět: |
Orthomyxoviridae
lcsh:QR1-502 Review Adaptive Immunity Biology medicine.disease_cause lcsh:Microbiology Virology parameters estimation Influenza Human Pandemic Influenza A virus medicine Animals Humans Coinfection host genetic factors aging Immunosenescence Models Theoretical Pneumonia Pneumococcal Acquired immune system Influenza research medicine.disease biology.organism_classification coinfection Vaccination Disease Models Animal Infectious Diseases Host-Pathogen Interactions Immunology vaccinology influenza mathematical models |
| Zdroj: | Viruses, Vol 7, Iss 10, Pp 5274-5304 (2015) Viruses |
| ISSN: | 1999-4915 |
| Popis: | 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 fragmented. During the last decade, mathematical modeling has been instrumental to explain and quantify IAV dynamics. In this paper, we review not only the state of the art of mathematical models of IAV infection but also the methodologies exploited for parameter estimation. We focus on the adaptive IR control of IAV infection and the possible mechanisms that could promote a secondary bacterial coinfection. To exemplify IAV dynamics and identifiability issues, a mathematical model to explain the interactions between adaptive IR and IAV infection is considered. Furthermore, in this paper we propose a roadmap for future influenza research. The development of a mathematical modeling framework with a secondary bacterial coinfection, immunosenescence, host genetic factors and responsiveness to vaccination will be pivotal to advance IAV infection understanding and treatment optimization. |
| Databáze: | OpenAIRE |
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