title: Nonlinear compliance modulates dynamic bronchoconstriction in a multiscale airway model.
abstract: The role of breathing and deep inspirations (DI) in modulating airway hyperresponsiveness remains poorly understood. In particular, DIs are potent bronchodilators of constricted airways in nonasthmatic subjects but not in asthmatic subjects. Additionally, length fluctuations (mimicking DIs) have been shown to reduce mean contractile force when applied to airway smooth muscle (ASM) cells and tissue strips. However, these observations are not recapitulated on application of transmural pressure (PTM) oscillations (that mimic tidal breathing and DIs) in isolated intact airways. To shed light on this paradox, we have developed a biomechanical model of the intact airway, accounting for strain-stiffening due to collagen recruitment (a large component of the extracellular matrix (ECM)), and dynamic actomyosin-driven force generation by ASM cells. In agreement with intact airway studies, our model shows that PTM fluctuations at particular mean transmural pressures can lead to only limited bronchodilation. However, our model predicts that moving the airway to a more compliant point on the static pressure-radius relationship (which may involve reducing mean PTM), before applying pressure fluctuations, can generate greater bronchodilation. This difference arises from competition between passive strain-stiffening of ECM and force generation by ASM yielding a highly nonlinear relationship between effective airway stiffness and PTM, which is modified by the presence of contractile agonist. Effectively, the airway at its most compliant may allow for greater strain to be transmitted to subcellular contractile machinery. The model predictions lead us to hypothesize that the maximum possible bronchodilation of an airway depends on its static compliance at the PTM about which the fluctuations are applied. We suggest the design of additional experimental protocols to test this hypothesis.
authors.affiliation: School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, United Kingdom.
authors.forename: Jonathan E
authors.initials: JE
authors.lastname: Hiorns
authors.affiliation: School of Mathematics, University of Manchester, Manchester, United Kingdom.
authors.forename: Oliver E
authors.initials: OE
authors.lastname: Jensen
authors.affiliation: School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, United Kingdom. Electronic address: bindi.brook@nottingham.ac.uk.
authors.forename: Bindi S
authors.initials: BS
authors.lastname: Brook
mesh_terms: D000818:Animals; D001980:Bronchi / Q000502:physiology*; D016084:Bronchoconstriction; D003187:Compliance; D006801:Humans; D008954:Models, Biological; D017711:Nonlinear Dynamics