Literature DB >> 11748671

Nonlinear dynamical law governs magnetic field induced changes in lymphoid phenotype.

A A Marino1, R M Wolcott, R Chervenak, F Jourd'heuil, E Nilsen, C Frilot.   

Abstract

The results of many different types of animal and human studies dealing with the biological effects of exposure to low frequency electromagnetic fields (EMFs) have consistently been both positive and negative. We addressed the question of why this pattern had occurred so commonly in biological studies involving exposure to EMFs and hypothesized that it stemmed from the prevalent use of a linear model to characterize what are inherently nonlinear input-output relationships. The hypothesis was tested by analyzing biological data using a novel statistical procedure that could be adjusted to detect either nonlinear or linear effects. The reliability of the procedure was established using positive and negative controls and by comparison with the results obtained from sampling a known nonlinear system. In four independent experiments, male and female mice were exposed continuously to 0.1 or 0.5 mT, 60 Hz, for 175 days, and the effect on 20 immune parameters was measured using flow cytometry and functional assays. In each experiment, EMF exposure resulted in statistically significant changes in lymphoid phenotype when and only when the response of the animals to the fields was analyzed as if it were governed by nonlinear laws. Our results suggest that the pattern of inconsistency in the EMF bioeffects studies is an artifact resulting from an incorrect choice of the conceptual model for the relation between the field and the biological effect it causally determines. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11748671     DOI: 10.1002/bem.82

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


  2 in total

1.  Effect of Occupational Extremely Low-Frequency Electromagnetic Field Exposure on the Thyroid Gland of Workers: A Prospective Study.

Authors:  Yuan-Yuan Fang; Qian Tu; Yu-Ting Zhang; Jian Liu; Hui-Guo Liu; Zhi-Hua Zhao; Hua Wu; Tie-Jun Yin
Journal:  Curr Med Sci       Date:  2022-08-13

Review 2.  Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.

Authors:  Massimo E Maffei
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

  2 in total

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