IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i11p1875-d436683.html
   My bibliography  Save this article

A Computational Model for Cardiomyocytes Mechano-Electric Stimulation to Enhance Cardiac Tissue Regeneration

Author

Listed:
  • Pau Urdeitx

    (Mechanical Engineering Department, School of Engineering and Architecture (EINA), University of Zaragoza, 50018 Zaragoza, Spain
    Aragon Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain
    Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 50018 Zaragoza, Spain)

  • Mohamed H. Doweidar

    (Mechanical Engineering Department, School of Engineering and Architecture (EINA), University of Zaragoza, 50018 Zaragoza, Spain
    Aragon Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain
    Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 50018 Zaragoza, Spain)

Abstract

Electrical and mechanical stimulations play a key role in cell biological processes, being essential in processes such as cardiac cell maturation, proliferation, migration, alignment, attachment, and organization of the contractile machinery. However, the mechanisms that trigger these processes are still elusive. The coupling of mechanical and electrical stimuli makes it difficult to abstract conclusions. In this sense, computational models can establish parametric assays with a low economic and time cost to determine the optimal conditions of in-vitro experiments. Here, a computational model has been developed, using the finite element method, to study cardiac cell maturation, proliferation, migration, alignment, and organization in 3D matrices, under mechano-electric stimulation. Different types of electric fields (continuous, pulsating, and alternating) in an intensity range of 50–350 Vm − 1 , and extracellular matrix with stiffnesses in the range of 10–40 kPa, are studied. In these experiments, the group’s morphology and cell orientation are compared to define the best conditions for cell culture. The obtained results are qualitatively consistent with the bibliography. The electric field orientates the cells and stimulates the formation of elongated groups. Group lengthening is observed when applying higher electric fields in lower stiffness extracellular matrix. Groups with higher aspect ratios can be obtained by electrical stimulation, with better results for alternating electric fields.

Suggested Citation

  • Pau Urdeitx & Mohamed H. Doweidar, 2020. "A Computational Model for Cardiomyocytes Mechano-Electric Stimulation to Enhance Cardiac Tissue Regeneration," Mathematics, MDPI, vol. 8(11), pages 1-23, October.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:1875-:d:436683
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/11/1875/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/8/11/1875/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. S.J. Mousavi & M.H. Doweidar & M. Doblaré, 2014. "Computational modelling and analysis of mechanical conditions on cell locomotion and cell–cell interaction," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(6), pages 678-693, April.
    2. Seyed Jamaleddin Mousavi & Mohamed Hamdy Doweidar, 2015. "Three-Dimensional Numerical Model of Cell Morphology during Migration in Multi-Signaling Substrates," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-33, March.
    3. Ruilin Zhang & Peidong Han & Hongbo Yang & Kunfu Ouyang & Derek Lee & Yi-Fan Lin & Karen Ocorr & Guson Kang & Ju Chen & Didier Y. R. Stainier & Deborah Yelon & Neil C. Chi, 2013. "In vivo cardiac reprogramming contributes to zebrafish heart regeneration," Nature, Nature, vol. 498(7455), pages 497-501, June.
    4. Leonard Bosgraaf & Peter J M Van Haastert, 2009. "Navigation of Chemotactic Cells by Parallel Signaling to Pseudopod Persistence and Orientation," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-11, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pau Urdeitx & Sandra Clara-Trujillo & Jose Luis Gomez Ribelles & Mohamed H. Doweidar, 2023. "Multiple Myeloma Cell Simulation Using an Agent-Based Framework Coupled with a Continuous Fluid Model," Mathematics, MDPI, vol. 11(8), pages 1-13, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chopra, Abha & Nanjundiah, Vidyanand, 2013. "The precision with which single cells of Dictyostelium discoideum can locate a source of cyclic AMP," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 3-12.
    2. Can Guven & Erin Rericha & Edward Ott & Wolfgang Losert, 2013. "Modeling and Measuring Signal Relay in Noisy Directed Migration of Cell Groups," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-13, May.
    3. Marga Albu & Eileen Affolter & Alessandra Gentile & Yanli Xu & Khrievono Kikhi & Sarah Howard & Carsten Kuenne & Rashmi Priya & Felix Gunawan & Didier Y. R. Stainier, 2024. "Distinct mechanisms regulate ventricular and atrial chamber wall formation," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    4. Peter J M Van Haastert, 2011. "Amoeboid Cells Use Protrusions for Walking, Gliding and Swimming," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-5, November.
    5. Robert M Cooper & Ned S Wingreen & Edward C Cox, 2012. "An Excitable Cortex and Memory Model Successfully Predicts New Pseudopod Dynamics," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-12, March.

    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:gam:jmathe:v:8:y:2020:i:11:p:1875-:d:436683. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.