Full Description
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 setting, inducible signaling pathways
the airway mucosa play a central role in the initiation of airway inflammation
through production of antimicrobial peptides (defensins), cytokines, chemokines
and arachidonic acid metabolites that coordinate the complex processes of
vascular permeability, cellular recruitment, mucous hyper-secretion, bronchial
constriction and tissue remodeling.
These signals also are responsible for leukocytic infiltration into the
submucosa, T helper-lymphocyte skewing, and allergic sensitization.
Currently, it
is well appreciated that asthma is a heterogeneous in terms of onset,
exacerbants, severity, and treatment response.
Current asthma classification methods are largely descriptive and focus
on a single aspect or dimension of the disease.
An active area of investigation on how to collect, use and visualize multidimensional
profiling in asthma. This book will
overview multidimensional profiling strategies and visualization approaches for
phenotyping asthma. As an outcome, this
work will facilitate the understanding of disease etiology, prognosis and/or
therapeutic intervention.
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
