Electromagnetic effects—From cell biology to medicine
Abstract
In this review we compile and discuss the published plethora of cell biological effects which are ascribed to electric fields (EF), magnetic fields (MF) and electromagnetic fields (EMF). In recent years, a change in paradigm took place concerning the endogenously produced static EF of cells and tissues. Here, modern molecular biology could link the action of ion transporters and ion channels to the "electric" action of cells and tissues. Also, sensing of these mainly EF could be demonstrated in studies of cell migration and wound healing. The triggers exerted by ion concentrations and concomitant electric field gradients have been traced along signaling cascades till gene expression changes in the nucleus. Far more enigmatic is the way of action of static MF which come in most cases from outside (e.g. earth magnetic field). All systems in an organism from the molecular to the organ level are more or less in motion. Thus, in living tissue we mostly find alternating fields as well as combination of EF and MF normally in the range of extremely low-frequency EMF. Because a bewildering array of model systems and clinical devices exits in the EMF field we concentrate on cell biological findings and look for basic principles in the EF, MF and EMF action. As an outlook for future research topics, this review tries to link areas of EF, MF and EMF research to thermodynamics and quantum physics, approaches that will produce novel insights into cell biology.
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The frequency of TTFields (100-300 kHz) would seem to preclude effects such as initiation and propagation or blocking of action potentials in nerve cells, because such effects are not seen above ~30-50 kHz.
“Prima facie, while the amplitude of TTFields is sufficient to modulate ion channels in the cell membrane, the frequency of TTFields (100–300 kHz) would seem to preclude effects such as initiation and propagation or blocking of action potentials in nerve cells, because such effects are not seen above ~30–50 kHz [2].”
From Permeabilizing Cell Membranes with Electric Fields (2021) · cites this paper as [2]
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An Overview of Sub-Cellular Mechanisms Involved in the Action of TTFields
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Permeabilizing Cell Membranes with Electric Fields
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Effects of electromagnetic fields on neuronal ion channels: A systematic review
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- Authors
- Funk, R. H. W., Monsees, T., & Özkucur, N.
- Affiliations
- Technische Universität Dresden (DE)
- Corresponding author
- Funk, Richard H.W.
- Venue
- Progress in Histochemistry and Cytochemistry
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 43
- Issue
- 4
- Pages
- 177-264
- ISSN
- 0079-6336 (ISSN-L)
- OpenAlex
- W2041236572
- Cited by
- 423
- References
- 433
- Citations by year
- 2026: 23 · 2025: 17 · 2024: 28 · 2023: 19 · 2022: 25 · 2021: 31 · 2020: 24 · 2019: 33 · 2018: 26 · 2017: 23 · 2016: 32 · 2015: 39 · 2014: 35 · 2013: 30 · 2012: 17
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Histochemistry and Cytochemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Electromagnetic Fields and Biological Effects
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Physiology › Magnetic and Electromagnetic Effects
- Health Sciences › Medicine › Physiology › Biofield Effects and Biophysics
- Keywords
- electromagnetic fields, electric field, magnetic field, extremely low frequency electromagnetic fields, ion channels, ion transporters, cell migration, wound healing, electric field gradient, ion gradients, signaling pathways, gene expression, geomagnetic field, clinical devices, thermodynamics, quantum physics
- MeSH terms
- Animals, Biology, Cells, Electricity, Electromagnetic Fields, Humans, Magnetics, Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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