DocumentCode
3311066
Title
Asthma PhysioLab: a dynamic, computer-based mathematical model of acute and chronic asthma
Author
Stokes, C.L. ; Lewis, A.K. ; Paterson, T. ; Leong, C.C. ; Defranoux, N. ; Bub, G.
Author_Institution
Entelos Inc., Menlo Park, CA, USA
Volume
2
fYear
1999
fDate
36434
Abstract
Asthma is a complex disease involving the dynamic interactions of the many tissues, cells, and chemical mediators that comprise airway physiology, inflammation and immunological function. To understand the roles of these interacting systems in asthma, the authors have used Entelos´ proprietary computer modeling platform to build a large-scale mathematical model that encompasses these biological components. This model, the Entelos(R) Asthma PhysioLabTM, can be used to explore the evolution and potential therapeutic resolution of asthma. The Asthma PhysioLab reproduces many characteristics of the acute asthmatic episode in response to antigen challenge, including early- and late-phase airway obstruction and late-phase eosinophilic and basophilic inflammation. In addition, the model can reproduce the fast, brief airway obstruction that occurs in response to exercise, cold air, or adenosine inhalation, and the effects of a number of therapeutic drugs currently marketed for asthma therapy. The Asthma PhysioLab is presently being used to explore the interactions of the immune system and the airway tissues in chronic asthma. This systems analysis approach can help us understand the complex cellular and chemical interactions underlying the pathogenesis of asthma and provides a new tool for identifying and designing therapeutic strategies for ameliorating this disease
Keywords
digital simulation; diseases; laboratory techniques; lung; medical computing; physiological models; Asthma PhysioLab; acute asthma; adenosine inhalation; airway obstruction; airway physiology; antigen challenge; basophilic inflammation; chemical mediators; chronic asthma; cold air; complex cellular/chemical interactions; complex disease; disease amelioration; dynamic computer-based mathematical model; eosinophilic inflammation; exercise; immunological function; pathogenesis; systems analysis approach; therapeutic drugs; therapeutic strategies design; tissues; Biological system modeling; Biology computing; Chemical analysis; Diseases; Drugs; Evolution (biology); Immune system; Large-scale systems; Mathematical model; Physiology;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804374
Filename
804374
Link To Document