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December 4, 2011 Systems Biology in Allergy and Asthma Lanny J. Rosenwasser, M.D.

December 4, 2011 Systems Biology in Allergy and Asthma Lanny J. Rosenwasser, M.D. Dee Lyons/Missouri Endowed Chair in Immunology Research Professor of Pediatrics Allergy-Immunology Division Childrens Mercy Hospital Kansas City, Missouri

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December 4, 2011 Systems Biology in Allergy and Asthma Lanny J. Rosenwasser, M.D.

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  1. December 4, 2011 Systems Biology in Allergy and Asthma Lanny J. Rosenwasser, M.D. Dee Lyons/Missouri Endowed Chair in Immunology Research Professor of Pediatrics Allergy-Immunology Division Childrens Mercy Hospital Kansas City, Missouri Professor of Pediatrics, Medicine and Basic Science University of Missouri Kansas City School of Medicine

  2. Disclosure StatementLanny J. Rosenwasser, MD • RESEARCH STUDIES Alcon, A-Z, GlaxoSmithKline, Genentech, Novartis MBBH/MacArthur Foundation, National Institutes of Health • CONSULTANT Alcon, , A-Z, Genentech, GlaxoSmithKline, Novartis, Regeneron, Sanofi-Aventis • SPEAKERS’ BUREAU Alcon, A-Z, Genentech, Novartis

  3. Learning Objectives Understand the nature of Systems Biology Examine the complex nature of Immune Response in Allergy and Asthma Understand the applications of Systems Biology to Allergic Responses

  4. Definitions Systems Biology – Integrated basis for functionality of an Organism Immune Responses – Symphonies of Molecular and Cellular Mechanisms with each component generating a coordinated effective response Analogies - Multiple

  5. Analogies of Complex Disease Process Symphony Airplane Junkyard Radio

  6. Modeling and Simulation at Molecular Scale • Informatics – Software driven • Modeling of Signaling and Receptor Activity • Modeling of Cellular Behavior and Interactions

  7. Large Scale Data Acquisition Technologies • Cell and Molecular Biology • Proteomics, Genomics • Immunology Wet Lab

  8. Molecular Biological Tools • Gene and MiRNA Expression • Transcript Profiling • Next Generation Sequencing • RNA; Screening • Assay Design • Applications

  9. Interactional Measures • Network Models • 2 Hybrid Screens • Mass Spec • Proteomics • Array Protein Assays • Flow Cytometry

  10. Characteristics of Asthma • Narrowing of the airways • Airway obstruction • Airway inflammation • Increased airway responsiveness NHLBI, NAEPP, 1997.

  11. Environmental factors Th-2/Th-1 cytokines – eg IL-13, TNF Environmental factors and Inflammatory products Dendritic cell mucus Initiation B lymphocyte T lymphocyte Airway EffectsBronchospamAcute InflammationPersistent InflammationRemodeling IgE IL-3, IL-5 GM-CSF IL-3, IL-4,IL-13, IL-9 Airway microenvironment Inflammation Amplification TNF (myo) fibroblasts Mast cell Propagation Eosinophil Smooth muscle Blood vessels Neutrophil Persistent inflammation and development of remodeling Acute Inflammation Proinflammatory mediators DRAFT www.nhlbi.nih.gov/guidelines/asthma/epr3/

  12. Complexity of Asthma • Several orders of magnitude more complex • Microbiome, Proteome, Transcriptome, Genome • Tissues, Organs, Whole Body, Brain • Third and Fourth Dimensions

  13. Persistent Asthma: Daily Medication IntermittentAsthma Consult with asthma specialist if Step 4 care or higher is required. Consider consultation at Step 3. Step 6 Preferred:High-dose ICS + LABA + Oral Corticosteroid AND Consider Omalizumab for Patients WhoHave Allergies Step Up If Needed (first, check adherence, environmental control, and comorbid conditions) Step 5 Preferred:High-dose ICS + LABA (B) AND Consider Omalizumabfor PatientsWho HaveAllergies (B) Step 4 Preferred:Medium-dose ICS + LABA (B) Alternative:Medium-dose ICS + eitherLTRA (B), Theophylline (B),or Zileuton (D) Step 3 Preferred: Low-dose ICS + LABA (A)OR Medium-dose ICS (A) Alternative:Low-dose ICS + either LTRA (A), Theophylline (B),or Zileuton (D) Step 2 Preferred:Low-dose ICS (A) Alternative: Cromolyn (A), LTRA (A), Nedocromil (A),orTheophylline (B) Step 1 Preferred:SABA PRN Assess Control Step Down If Possible (and asthma is well controlled at least 3 months) Each Step: Patient education, environmental control, and management of comorbidities Steps 2-4: Consider subcutaneous allergen immunotherapy for patients who have allergic asthma • Quick-Relief Medication for All Patients • SABA as needed for symptoms. Intensity of treatment depends on severity of symptoms: up to 3 treatments at 20-minute intervals as needed. Short course of systemic oral corticosteroids may be needed • Use of SABA >2 days a week for symptom relief (not prevention of EIB) generally indicates inadequate control and the need to step up treatment Stepwise Approach for Managing Asthma in Patients Aged ≥12 Years ICS = inhaled corticosteroids; LABA = long-acting β2-agonist; LTRA = leukotriene receptor antagonist. Adapted from National Asthma Education and Prevention Program. Expert Panel Report 3: Guidelines for the Diagnosis and Management of Asthma (EPR-3 2007). U.S. Department of Health and Human Services. Available at: http://www.nhlbi.nih.gov/guidelines/asthma/asthgdln.pdf. Accessed August 29, 2007.

  14. Anti IgE • Targets IgE, FCeRI • Rhu Mab - E25 - Omalizumab, Xolair • Reduces Free IgE (allergen specific) • Reduces Eos (sputum, BAL, blood) • Reduces FCeRI and FCeRII expression • Efficacy - Asthma, AR

  15. Biotherapeutic Targets in Immune Allergic Disorders, Anti-IgE Innate Immunity Targets IL-1, TNF, IL-6 TLR, Adhesion Molecules IFN Modulation Chemokines Acquired ImmunityTargets Th2, Th17 Cytokines IL-2, 4,5,9,13,17,25,33 Cellular DC, T, B Other Targets TSLP Adipokines Growth and Differentiation Factors

  16. IL-1 family members – Chr. 2q13 New Name Other Name Property IL-1F1 IL-1α Agonist IL-1F2 IL-1β Agonist IL-1F3 IL-1Ra Receptor antagonist IL-1F4 IL-18 Agonist IL-1F5 FIL1δ Anti-inflammatory IL-1F6 FIL-1ε Agonist IL-1F7 IL-37 Anti-inflammatory IL-1F8 IL-1H2 Agonist IL-1F9 IL-1ε Agonist IL-1F10 IL1HУ2 Receptor antagonist IL-1F11 IL-33 Agonist

  17. Extended IL-1 Family (Caspase 1 Dependent) • IL-18 – shared receptor and genetics (IL-18bp) • IL-32 – TNF inducer • IL-33 – Ligand for ST2 Induces TH2 Cytokines • IL-37 – Downregulation of IL-1 family activities

  18. IL-17 Family • 20-30 кd • IL-17A, IL-17F – profibrotic activate chemokines (IL-8) and IL-6 • IL-17E – IL-25 • IL-25 associated with eosinophilia, airways hyperresponsiveness • Genetics of IL-17 family linked to asthma

  19. Key Central Role of IL-5 in Asthma

  20. J ALLERGY IMMUNOL 2010 APR

  21. Anti-IL-5 in Human Asthma:Reduction in Exacerbations • Severe (CCS-dependent) asthma • Sputum eosinophilia required for enrollment • No improvement in FEV1, control, symptoms Haldar P et al. New Engl J Med 2009;360:973 Nair P et al. New Engl J Med 2009;360:985

  22. Anti-IL-5 in Human Asthma: Haldar P et al. New Engl J Med 2009;360:973 Nair P et al. New Engl J Med 2009;360:985

  23. Comparison of High Affinity vs. Low Affinity IgE Receptor (One log difference in binding) CD23a -B cells CD23b -Antigen Presenting Cells Effector Cells of Allergy/Asthma -Mast Cells -Basophils Antigen Presenting Cells (Modified from Novak, et at. JACI 2003)

  24. CD 23 as a Target for Therapy • FCe RII • 45 KD C-type Lectin • Type 2 Protein • Expressed - B-cells, APC, DC • Airway Smooth Muscle

  25. FCER2 – Pleiotropic Effects

  26. FCER2 – GCTTA Haplotype Yes 50 No 45 40 35 30 % with Haplotype 25 20 15 10 5 0 Hospitalizations ER Visits p = 0.0001 (Hosp) and 0.01 (ER)

  27. CD23 GENETIC POLYMORPHISM AA seq Nucleotide Allele position Variant Frequency AA Change 62 C to T C 0.75 Arginine to T 0.25 Tryptophan

  28. 3771 Nci I | 3785 3800 aagagagggctgcccggaacggtatgaagg ttctctcccgacgggccttgccatacttcc Agr 3771 |3785 3800 aagagagggctgcctggaacggtatgaagg Ttctctcccgacggaccttgccatacttcc trp 393bp 210bp R W 183bp Kijimoto-Ochiai S., 2002 Homo Wild type Hetero Genotype of CD23 R62W in Genomic DNA (NT_011145)

  29. Tantisera et al JACI,120,1285,2007

  30. Allergy - 2030 • Systems Biology Approach to Allergic Cascades • Biotherapeutics • Pharmacogenetic Profiling • Early Intervention

  31. Systems Medicine • Predictive • Preventive • Pharmacologically Effective • Personalized

  32. Challenges for the Future in Complex Genetic Disease Translational Research Robust Biomarkers Phenotype Analysis Phenotype/Genotype Association Diagnostic/Pathologic Visualization (Nanomedicine) Informatics Modeling

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