IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v22y2019i15p1174-1185.html
   My bibliography  Save this article

A computational model to predict cell traction-mediated prestretch in the mitral valve

Author

Listed:
  • M. A. J. van Kelle
  • M. K. Rausch
  • E. Kuhl
  • S. Loerakker

Abstract

Prestretch is observed in many soft biological tissues, directly influencing the mechanical behavior of the tissue in question. The development of this prestretch occurs through complex growth and remodeling phenomena, which yet remain to be elucidated. In the present study it was investigated whether local cell-mediated traction forces can explain the development of global anisotropic tissue prestretch in the mitral valve. Towards this end, a model predicting actin stress fiber-generated traction forces was implemented in a finite element framework of the mitral valve. The overall predicted magnitude of prestretch induced valvular contraction after release of in vivo boundary constraints was in good agreement with data reported on valvular retraction after excision from the heart. Next, by using a systematic variation of model parameters and structural properties, a more anisotropic prestretch development in the valve could be obtained, which was also similar to physiological values. In conclusion, this study shows that cell-generated traction forces could explain prestretch magnitude and anisotropy in the mitral valve.

Suggested Citation

  • M. A. J. van Kelle & M. K. Rausch & E. Kuhl & S. Loerakker, 2019. "A computational model to predict cell traction-mediated prestretch in the mitral valve," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 22(15), pages 1174-1185, November.
    • Handle: RePEc:taf:gcmbxx:v:22:y:2019:i:15:p:1174-1185
    DOI: 10.1080/10255842.2019.1647533
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2019.1647533
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2019.1647533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:22:y:2019:i:15:p:1174-1185. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.