Literature DB >> 8074739

Empirical test of an ion parametric resonance model for magnetic field interactions with PC-12 cells.

C F Blackman1, J P Blanchard, S G Benane, D E House.   

Abstract

A companion paper describes a predictive ion parametric resonance (IPR) model of magnetic field interactions with biological systems based on a selective relation between the ratio of the flux density of the static magnetic field to the AC magnetic field and the charge-to-mass ratio of ions of biological relevance. Previous studies demonstrated that nerve growth factor (NGF)-stimulated neurite outgrowth (NO) in PC-12 cells can be inhibited by exposure to magnetic fields as a function of either magnetic field flux density or AC magnetic field frequency. The present work examines whether the PC-12 cell response to magnetic fields is consistent with the quasi-periodic, resonance-based predictions of the IPR model. We tested changes in each of the experimentally controllable variables [flux densities of the parallel components of the AC magnetic field (Bac) and the static magnetic field (Bdc) and the frequency of the AC magnetic field] over a range of exposure conditions sufficient to determine whether the IPR model is applicable. A multiple-coil exposure system independently controlled each of these critical quantities. The perpendicular static magnetic field was controlled to less than 2 mG for all tests. The first set of tests examined the NO response in cells exposed to 45 Hz Bac from 77 to 468 mG(rms) at a Bdc of 366 mG. Next, we examined an off-resonance condition using 20 mG Bdc with a 45 Hz AC field across a range of Bac between 7.9 and 21 mG(rms). Finally, we changed the AC frequency to 25 Hz, with a corresponding change in Bdc to 203 mG (to tune for the same set of ions as in the first test) and a Bac range from 78 to 181 mG(rms). In all cases the observed responses were consistent with predictions of the IPR model. These experimental results are the first to support in detail the validity of the fundamental relationships embodied in the IPR model.

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Year:  1994        PMID: 8074739     DOI: 10.1002/bem.2250150307

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


  5 in total

Review 1.  Magnetoreception in plants.

Authors:  Paul Galland; Alexander Pazur
Journal:  J Plant Res       Date:  2005-11-09       Impact factor: 2.629

2.  Effect of electromagnetic field exposure on chemically induced differentiation of friend erythroleukemia cells.

Authors:  G Chen; B L Upham; W Sun; C C Chang; E J Rothwell; K M Chen; H Yamasaki; J E Trosko
Journal:  Environ Health Perspect       Date:  2000-10       Impact factor: 9.031

3.  CT2A Cell Viability Modulated by Electromagnetic Fields at Extremely Low Frequency under No Thermal Effects.

Authors:  Olga García-Minguillán; Raquel Prous; Maria Del Carmen Ramirez-Castillejo; Ceferino Maestú
Journal:  Int J Mol Sci       Date:  2019-12-24       Impact factor: 5.923

4.  Action of combined magnetic fields on aqueous solution of glutamic acid: the further development of investigations.

Authors:  Livio Giuliani; Settimio Grimaldi; Antonella Lisi; Enrico D'Emilia; Natalia Bobkova; Mikhail Zhadin
Journal:  Biomagn Res Technol       Date:  2008-01-25

Review 5.  Life rhythm as a symphony of oscillatory patterns: electromagnetic energy and sound vibration modulates gene expression for biological signaling and healing.

Authors:  David Muehsam; Carlo Ventura
Journal:  Glob Adv Health Med       Date:  2014-03
  5 in total

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