Linking parenchymal disease progression to changes in lung mechanical function by percolation.

RATIONALE The mechanical dysfunction accompanying parenchymal diseases such as pulmonary fibrosis and emphysema may follow a different course from the progression of the underlying microscopic pathophysiology itself, particularly in the early stages. It is tempting to speculate that this may reflect the geographical nature of lung pathology. However, merely ascribing mechanical dysfunction of the parenchyma to the vagaries of lesional organization is unhelpful without some understanding of how the two are linked. OBJECTIVES We attempt to forge such a link through a concept known as percolation, which has been invoked to account for numerous natural processes involving transmission of events across complex networks. METHODS We numerically determined the bulk stiffness (corresponding to the inverse of lung compliance) of a network of springs representing the lung parenchyma. We simulated the development of fibrosis by randomly stiffening individual springs in the network, and the development of emphysema by preferentially cutting springs under the greatest tension. MEASUREMENTS AND MAIN RESULTS When the number of stiff springs was increased to the point that they suddenly became connected across the network, the model developed a sharp increase in its bulk modulus. Conversely, when the cut springs became sufficiently numerous, the elasticity of the network fell to zero. These two conditions represent percolation thresholds that we show are mirrored structurally in both tissue pathology and macroscopic computed tomography images of human idiopathic fibrosis and emphysema. CONCLUSIONS The concept of percolation may explain why the development of symptoms related to lung function and the development of parenchymal pathology often do not progress together.

[1]  Olaf Stenull,et al.  Generalized epidemic process and tricritical dynamic percolation. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  John B. West,et al.  Pulmonary Pathophysiology: The Essentials , 1982 .

[3]  D Stamenović,et al.  Micromechanical foundations of pulmonary elasticity. , 1990, Physiological reviews.

[4]  R. Peto,et al.  The natural history of chronic airflow obstruction. , 1977, British medical journal.

[5]  Ilya Prigogine,et al.  Order out of chaos , 1984 .

[6]  J. Hildebrandt,et al.  Pressure-volume data of cat lung interpreted by a plastoelastic, linear viscoelastic model. , 1970, Journal of applied physiology.

[7]  E. Ingenito,et al.  The pathogenesis of chronic obstructive pulmonary disease: advances in the past 100 years. , 2005, American journal of respiratory cell and molecular biology.

[8]  John F. Murray,et al.  Textbook of Respiratory Medicine , 1988 .

[9]  A. Coniglio,et al.  Percolation and Burgers' dynamics in a model of capillary formation. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  B Suki,et al.  Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[11]  A. Churg,et al.  Smoke-induced emphysema in guinea pigs is associated with morphometric evidence of collagen breakdown and repair. , 1995, The American journal of physiology.

[12]  J. Bates,et al.  A distributed nonlinear model of lung tissue elasticity. , 1997, Journal of applied physiology.

[13]  Tang,et al.  Percolation of elastic networks under tension. , 1988, Physical review. B, Condensed matter.

[14]  J. Fredberg,et al.  Force heterogeneity in a two-dimensional network model of lung tissue elasticity. , 1998, Journal of applied physiology.

[15]  M. Gulati,et al.  Emphysema in heavy smokers with normal chest radiography: Detection and quantification by HRCT , 2002 .

[16]  M. Gulati,et al.  Emphysema in heavy smokers with normal chest radiography. Detection and quantification by HCRT. , 2002, Acta radiologica.

[17]  W. Boonsawat,et al.  Comparison of high-resolution computed tomography with pulmonary function testing in symptomatic smokers. , 2003, Journal of the Medical Association of Thailand = Chotmaihet thangphaet.

[18]  H. Bachofen,et al.  Pressure-volume curves of air- and liquid-filled excised lungs-surface tension in situ. , 1970, Journal of applied physiology.

[19]  J. Bates,et al.  Altered mechanical properties of lung parenchyma in postobstructive pulmonary vasculopathy. , 1994, Journal of applied physiology.

[20]  Bernard Porterie,et al.  Propagation in a two-dimensional weighted local small-world network. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  Béla Suki,et al.  On the progressive nature of emphysema: roles of proteases, inflammation, and mechanical forces. , 2003, American journal of respiratory and critical care medicine.

[22]  K. P. Van de Woestijne,et al.  Structure and function in fibrosing alveolitis. , 1994, Journal of applied physiology.

[23]  K P Whittall,et al.  Quantification of idiopathic pulmonary fibrosis using computed tomography and histology. , 1997, American journal of respiratory and critical care medicine.

[24]  Joanne Shannon,et al.  Physiologic basis of respiratory disease , 2005 .

[25]  W. Bailey,et al.  Effects of Smoking Intervention and the Use of an Inhaled Anticholinergic Bronchodilator on the Rate of Decline of FEV1 , 1994 .

[26]  T A Wilson,et al.  A model for mechanical structure of the alveolar duct. , 1982, Journal of applied physiology: respiratory, environmental and exercise physiology.

[27]  H. Collard,et al.  Changes in clinical and physiologic variables predict survival in idiopathic pulmonary fibrosis. , 2003, American journal of respiratory and critical care medicine.

[28]  Y. Okada,et al.  STRUCTURAL EMPHYSEMA DOES NOT CORRELATE WITH LUNG COMPLIANCE: LESSONS FROM THE MOUSE SMOKING MODEL , 2005, Experimental lung research.

[29]  K P Whittall,et al.  Selection of patients for lung volume reduction surgery using a power law analysis of the computed tomographic scan , 2003, Thorax.

[30]  Arnab Majumdar,et al.  Mechanical interactions between collagen and proteoglycans: implications for the stability of lung tissue. , 2005, Journal of applied physiology.

[31]  M. Akira,et al.  Idiopathic pulmonary fibrosis: progression of honeycombing at thin-section CT. , 1993, Radiology.

[32]  N. Gonzalez Pulmonary Pathophysiology: The Essentials, 5th Edition , 1999 .

[33]  Arbabi,et al.  Elastic properties of three-dimensional percolation networks with stretching and bond-bending forces. , 1988, Physical review. B, Condensed matter.

[34]  J MEAD,et al.  Mechanical properties of lungs. , 1961, Physiological reviews.

[35]  F. Martinez,et al.  The Clinical Course of Patients with Idiopathic Pulmonary Fibrosis , 2005, Annals of Internal Medicine.