Heterogeneity in Asthma

This book presents an overview on multidimensional profiling strategies and visualization approaches for phenotyping asthma. It includes cutting-edge methods and protocols and provides step-by-step detail essential for reproducible results.

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.

Includes cutting-edge methods and protocols Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts Includes supplementary material: sn.pub/extras

Inhalt

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