Models of respiratory infections

Virus-induced asthma exacerbations and beyond

Sara Saturni, Marco Contoli, Antonio Spanevello, Alberto Papi

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Respiratory infections are one of the main health problems worldwide. They are a challenging field of study due to an intricate relationship between the pathogenicity of microbes and the host's defenses. To better understand mechanisms of respiratory infections, different models have been developed. A model is the reproduction of a disease in a system that mimics human pathophysiology. For this reason, the best models should closely resemble real-life conditions. Thus, the human model is the best. However, human models of respiratory infections have some disadvantages that limit their role. Therefore, other models, including animal, in vitro, and mathematical ones, have been developed. We will discuss advantages and limitations of available models and focus on models of viral infections as triggers of asthma exacerbations, viral infections being one of the most frequent causes of exacerbating disease. Future studies should focus on the interrelation of various models.

Original languageEnglish
Pages (from-to)525-533
Number of pages9
JournalAllergy, Asthma and Immunology Research
Volume7
Issue number6
DOIs
Publication statusPublished - 2015

Fingerprint

Respiratory Tract Infections
Asthma
Virus Diseases
Viruses
Reproduction
Virulence
Animal Models
Global Health
In Vitro Techniques

Keywords

  • Animal models
  • In vitro diagnostic devices
  • Mathematical computing
  • Respiratory tract infections
  • Theoretical models

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology
  • Pulmonary and Respiratory Medicine

Cite this

Models of respiratory infections : Virus-induced asthma exacerbations and beyond. / Saturni, Sara; Contoli, Marco; Spanevello, Antonio; Papi, Alberto.

In: Allergy, Asthma and Immunology Research, Vol. 7, No. 6, 2015, p. 525-533.

Research output: Contribution to journalArticle

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