Optical coherence tomography-based contact indentation for diaphragm mechanics in a mouse model of transforming growth factor alpha induced lung disease

Kimberley C.W. Wang*, Chrissie J. Astell, Philip Wijesinghe, Alexander N. Larcombe, Gavin J. Pinniger, Graeme R. Zosky, Brendan F. Kennedy, Luke J. Berry, David D. Sampson, Alan L. James, Timothy D. Le Cras, Peter B. Noble

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study tested the utility of optical coherence tomography (OCT)-based indentation to assess mechanical properties of respiratory tissues in disease. Using OCT-based indentation, the elastic modulus of mouse diaphragm was measured from changes in diaphragm thickness in response to an applied force provided by an indenter. We used a transgenic mouse model of chronic lung disease induced by the overexpression of transforming growth factor-alpha (TGF-α), established by the presence of pleural and peribronchial fibrosis and impaired lung mechanics determined by the forced oscillation technique and plethysmography. Diaphragm elastic modulus assessed by OCT-based indentation was reduced by TGF-α at both left and right lateral locations (p < 0.05). Diaphragm elastic modulus at left and right lateral locations were correlated within mice (r = 0.67, p < 0.01) suggesting that measurements were representative of tissue beyond the indenter field. Co-localised images of diaphragm after TGF-α overexpression revealed a layered fibrotic appearance. Maximum diaphragm force in conventional organ bath studies was also reduced by TGF-α overexpression (p < 0.01). Results show that OCT-based indentation provided clear delineation of diseased diaphragm, and together with organ bath assessment, provides new evidence suggesting that TGF-α overexpression produces impairment in diaphragm function and, therefore, an increase in the work of breathing in chronic lung disease.

Original languageEnglish
Article number1517
Number of pages10
JournalScientific Reports
Volume7
Early online date4 May 2017
DOIs
Publication statusPublished - 4 May 2017

Keywords

  • Optical imaging
  • Respiration

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