Literature DB >> 9644894

Biological cells with gap junctions in low-frequency electric fields.

E C Fear1, M A Stuchly.   

Abstract

Biological effects have been observed from weak, low-frequency magnetic fields. It has been suggested that the observed effects are due to the induced currents and electric fields. The behavior of cells exposed to an electric field is investigated in this paper. The induced transmembrane potential (TMP) is examined in geometrically complex models of various cell configurations. The TMP is evaluated using the finite element method (FEM), a numerical technique that is well suited to complicated geometries. Because displacement currents can be neglected at very low frequencies, a FEM solver that considers only material conductivity is used. Therefore, our results apply only well below the relaxation frequency. Chains and clusters of gap-connected cells of various sizes are modeled. The conductivity and size of the gap junctions in the cell configurations are also varied. The results for small configurations are compared to models of ellipsoidal cells with shapes similar to those of the configurations. FEM estimates of TMP's in long, cylindrical cell chains are compared to the predictions of the leaky cable model. The FEM approach confirms that gap-junction-connected cells can be treated as a single similarly shaped cell. Gaps influence the potential in the interior of cell configurations, and these effects increase with gap size and conductivity. For configurations to which approximations such as the leaky cable model do not apply, the FEM approach can be used to estimate the TMP, if the model is adapted to fit within computational memory limits.

Mesh:

Year:  1998        PMID: 9644894     DOI: 10.1109/10.686793

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  An approach to electrical modeling of single and multiple cells.

Authors:  Thiruvallur R Gowrishankar; James C Weaver
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

2.  A microfluidic platform for measuring electrical activity across cells.

Authors:  Cédric Bathany; Derek L Beahm; Steve Besch; Frederick Sachs; Susan Z Hua
Journal:  Biomicrofluidics       Date:  2012-09-24       Impact factor: 2.800

3.  Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties.

Authors:  Julius Zimmermann; Richard Altenkirch; Ursula van Rienen
Journal:  Sci Rep       Date:  2022-03-18       Impact factor: 4.996

Review 4.  Childhood leukemia: electric and magnetic fields as possible risk factors.

Authors:  Joseph D Brain; Robert Kavet; David L McCormick; Charles Poole; Lewis B Silverman; Thomas J Smith; Peter A Valberg; R A Van Etten; James C Weaver
Journal:  Environ Health Perspect       Date:  2003-06       Impact factor: 9.031

5.  Numerical Simulations as Means for Tailoring Electrically Conductive Hydrogels Towards Cartilage Tissue Engineering by Electrical Stimulation.

Authors:  Julius Zimmermann; Thomas Distler; Aldo R Boccaccini; Ursula van Rienen
Journal:  Molecules       Date:  2020-10-16       Impact factor: 4.411

  5 in total

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