Heterogeneity in Asthma

Asthma is a chronic relapsing airways disease that represents a major public health problem worldwide. Intermittent exacerbations are provoked by airway mucosal exposure to pro-inflammatory stimuli, with RNA viral infections or inhaled allergens representing the two most common precipitants. In this...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Brasier, Allan R. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Humana, 2014.
Edition:1st ed. 2014.
Series:Advances in Experimental Medicine and Biology, 795
Subjects:
Online Access:https://doi.org/10.1007/978-1-4614-8603-9
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Table of Contents:
  • Introduction: Applications of Translational Science to Clinical Problems
  • Section I:  Spectrum of Asthma
  • Introduction to spectrum of asthma
  • 1. Introduction to Asthma and Phenotyping
  • 2. Epidemiology of Asthma
  • 3. Heterogeneity of asthma in society
  • 4. Allergens and Environmental Association to Asthma
  • 5. Current Clinical Diagnostic Tests for Asthma
  • 6. Management of Asthma: the current US and European Guidelines
  • 7. Community Interventions in Asthma
  • 8. Heterogeneity of Response to Therapy
  • Section II: Genetics and Genomics in Asthma
  • Introduction to genetics and genomics in asthma
  • 9. Genetics of Asthma
  • 10. Genomics of Asthma
  • 11. Epigenetics of Asthma
  • Section III: Proteomics, Metabolomics, and Systems Biology of Asthma.-11. Introduction to proteomics, metabolomics and systems biology of asthma
  • 12. Overview of Proteomics in Airway Disease
  • 13. Metabolomics in Asthma
  • 14. Overview on Methods of Sample Preparation
  • 15. Measurement of Innate Immunity in the Airway
  • 16. Functional Proteomics in Isolated Cells for Steroid Response
  • Section IV:   Modeling Complex Data  in Asthma
  • Introduction to modeling complex data in asthma
  • 17. Biostatistical Analysis and Predictive Modeling in Asthma Phenotype
  • 18. Role of Visual Analytics in Asthma Phenotyping and Complex Data Analysis
  • Section V: Biobehavioral Determinants  in  Asthma
  • Introduction to biobehavioral determinants
  • 19. Central Nervous System Influences in Asthma
  • 20. Social and Cultural Influences in Asthma Diagnosis and Management.- Section VI: Conclusions and Future Directions
  • Summary.