Literature DB >> 10972949

A cooperative model for Ca(++) efflux windowing from cell membranes exposed to electromagnetic radiation.

C J Thompson1, Y S Yang, V Anderson, A W Wood.   

Abstract

We propose a simplified version of a cooperative lattice membrane model given by Grodsky to explain observed Ca(++) efflux windowing effects from cell membranes exposed to electromagnetic radiation. Assuming that field induced conformational interactions occur only between bistable receptor sites and glycoprotein Ca(++) sites on the surface of the membrane, the model is shown to be equivalent to an Ising model. This model is known to have a phase transition to an ordered state in which a macroscopic number of Ca(++) sites are either occupied or unoccupied. We identify such states with enhanced Ca(++) efflux from cell membranes. By further assuming an averaged signal, sinusoidally varying coupling between receptor and Ca(++) sites and a power-law dependence of the characteristic time constant on the induced power-density of the applied field, we show that the model is consistent with published experimental results on power density windowing effects for particular values of model parameters. For these parameter values, the model predicts further power densities where windowing effects may be observed under appropriate conditions. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10972949

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  3 in total

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Review 2.  Targeted treatment of cancer with radiofrequency electromagnetic fields amplitude-modulated at tumor-specific frequencies.

Authors:  Jacquelyn W Zimmerman; Hugo Jimenez; Michael J Pennison; Ivan Brezovich; Desiree Morgan; Albert Mudry; Frederico P Costa; Alexandre Barbault; Boris Pasche
Journal:  Chin J Cancer       Date:  2013-11

3.  Lessons and Perspectives from a 25-Year Bioelectromagnetics Research Program.

Authors:  Andrew W Wood; Alireza Lajevardipour; Robert L McIntosh
Journal:  Int J Environ Res Public Health       Date:  2016-09-23       Impact factor: 3.390

  3 in total

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