Emergent structure-function relations in emphysema and asthma.
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.
Massachusetts General Hospital and Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, Boston, Massachusetts, USA. twinkler@vqpet.mgh.harvard.edu
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D001249:Asthma / Q000503:physiopathology*; D016084:Bronchoconstriction / Q000502:physiology; D003198:Computer Simulation; D018450:Disease Progression; D006801:Humans; D008168:Lung / Q000503:physiopathology; D008954:Models, Biological; D011656:Pulmonary Emphysema / Q000503:physiopathology*; D012123:Pulmonary Ventilation / Q000502:physiology; D015656:Respiratory Mechanics; D049490:Systems Biology