Current Allergy and Asthma Reports

, Volume 12, Issue 5, pp 388–395

Strategies for Molecular Classification of Asthma Using Bipartite Network Analysis of Cytokine Expression

  • Regina R. Pillai
  • Rohit Divekar
  • Allan Brasier
  • Suresh Bhavnani
  • William J. Calhoun
IMMUNE DEFICIENCY AND DYSREGULATION (DP HUSTON, SECTION EDITOR)

DOI: 10.1007/s11882-012-0279-y

Cite this article as:
Pillai, R.R., Divekar, R., Brasier, A. et al. Curr Allergy Asthma Rep (2012) 12: 388. doi:10.1007/s11882-012-0279-y

Abstract

Asthma is a chronic inflammatory disease of the airways that leads to various degrees of recurrent respiratory symptoms affecting patients globally. Specific subgroups of asthma patients have severe disease leading to increased healthcare costs and socioeconomic burden. Despite the overwhelming prevalence of the asthma, there are limitations in predicting response to therapy and identifying patients who are at increased risk of morbidity. This syndrome presents with common clinical signs and symptoms; however, awareness of subgroups of asthma patients with distinct characteristics has surfaced in recent years. Investigators attempt to describe the phenotypes of asthma to ultimately assist with diagnostic and therapeutic applications. Approaches to asthma phenotyping are multifold; however, it can be partitioned into 2 essential groups, clinical phenotyping and molecular phenotyping. Innovative techniques such as bipartite network analysis and visual analytics introduce a new dimension of data analysis to identify underlying mechanistic pathways.

Keywords

AsthmaAllergicExercise inducedMolecularBipartitePhenotypeNetworkLogistic regressionMultivariate adaptive regression splines (MARS)CytokinesCluster analysisClassification regression trees (CART)HeterogeneousAirwayInflammation

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Regina R. Pillai
    • 2
  • Rohit Divekar
    • 3
  • Allan Brasier
    • 4
  • Suresh Bhavnani
    • 5
  • William J. Calhoun
    • 1
  1. 1.Department of Internal Medicine, Division of Pulmonary and Critical Care MedicineUniversity of Texas Medical BranchGalvestonUSA
  2. 2.Department of Internal Medicine, Division of Pulmonary and Critical Care MedicineUniversity of Texas Medical BranchGalvestonUSA
  3. 3.Department of Internal Medicine, Division of Allergy and Clinical ImmunologyUniversity of Texas Medical BranchGalvestonUSA
  4. 4.Institute for Translational SciencesUniversity of Texas Medical BranchGalvestonUSA
  5. 5.Institute for Translational SciencesUniversity of Texas Medical BranchGalvestonUSA