Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Imprimer: 0278-940X
ISSN En ligne: 1943-619X

Volumes:
Volume 47, 2019 Volume 46, 2018 Volume 45, 2017 Volume 44, 2016 Volume 43, 2015 Volume 42, 2014 Volume 41, 2013 Volume 40, 2012 Volume 39, 2011 Volume 38, 2010 Volume 37, 2009 Volume 36, 2008 Volume 35, 2007 Volume 34, 2006 Volume 33, 2005 Volume 32, 2004 Volume 31, 2003 Volume 30, 2002 Volume 29, 2001 Volume 28, 2000 Volume 27, 1999 Volume 26, 1998 Volume 25, 1997 Volume 24, 1996 Volume 23, 1995

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v39.i4.20
pages 263-280

Emergent Structure-Function Relations in Emphysema and Asthma

Tilo Winkler
Harvard Medical School
Bela Suki
Department of Biomedical Engineering, Boston University, Boston, Massachusetts

RÉSUMÉ

Structure-function relationships in the respiratory system are often a result of the emergence of self-organized patterns or behaviors that are characteristic of certain respiratory diseases. Proper description of such self-organized behavior requires network models that include nonlinear interactions among different parts of the system. This review focuses on 2 models that exhibit self-organized behavior: a network model of the lung parenchyma during the progression of emphysema that is driven by mechanical force-induced breakdown, and an integrative model of bronchoconstriction in asthma that describes interactions among airways within the bronchial tree. Both models suggest that the transition from normal to pathologic states is a nonlinear process that includes a tipping point beyond which interactions among the system components are reinforced by positive feedback, further promoting the progression of pathologic changes. In emphysema, the progressive destruction of tissue is irreversible, while in asthma, it is possible to recover from a severe bronchoconstriction. These concepts may have implications for pulmonary medicine. Specifically, we suggest that structure-function relationships emerging from network behavior across multiple scales should be taken into account when the efficacy of novel treatments or drug therapy is evaluated. Multiscale, computational, network models will play a major role in this endeavor.


Articles with similar content:

Sepsis: From Pattern to Mechanism and Back
Critical Reviews™ in Biomedical Engineering, Vol.40, 2012, issue 4
Yoram Vodovotz, Gary An, Rami A. Namas
Model-based Approaches to Biomarker Discovery and Evaluation: A Multidisciplinary Integrated Review
Critical Reviews™ in Biomedical Engineering, Vol.30, 2002, issue 4-6
David M. Foster, Marc R. Gastonguay, Paolo Vicini
Signal Processing and Physiological Modeling-Part II: Depth Model-Driven Analysis
Critical Reviews™ in Biomedical Engineering, Vol.30, 2002, issue 1-3
Jean-Louis Coatrieux
Platelet Activation and the CD40/CD40 Ligand Pathway: Mechanisms and Implications for Human Disease
Critical Reviews™ in Immunology, Vol.25, 2005, issue 2
Claudio Fiocchi, Silvio Danese
Non-Major Histocompatibility Complex Rheumatoid Arthritis Susceptibility Genes
Critical Reviews™ in Immunology, Vol.31, 2011, issue 2
Saleh M. Ibrahim, Manfred Kunz