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Consultation Response Form SCENIHR opinion on "Possible effects of Electromagnetic Fields (EMF) on Human Health" Contact details of person and/or institution submitting comments: Name of person Address e-mail address Igor Belyaev, Igor Y. Belyaev, Ph.D., D.Sc. Associate Professor Stockholm University, S-106 91 Stockholm, Sweden [email protected] Name of Institution Department of Genetics, Microbiology and Toxicology Stockholm University, S-106 91 Stockholm, Sweden Address [email protected] e-mail address Do you write as an individual or on behalf of an organization? individual organization If you write on behalf of an organization, please specify the following Type Academic institute Business Public authority Trade union NGO Other If other, please specify: ________________________________ 1 Please include your comments on the opinion in the following field: Although the SCENIHR report states that ”Since the adoption of the 2001 opinion extensive research has been conducted regarding possible health effects of exposure to low intensity RF fields, including epidemiologic, in vivo, and in vitro research”, there remains many in vitro and in vivo studies have not been covered. It is of particular interest that those studies that have been overlooked either show or may be interpreted as indicating and supporting the adverse health effects. Numerous examples include the studies by our group [1-4]. Due to the omission of those studies, the conclusions of the SCENIHR report emphasizes the lack of consistent data indicating the adverse effects of exposure to electromagnetic fields. Such emphasis results in a one-side interpretation of the experimental data if one is trying to establish a weight of evidence approach by enumerating the number of papers that show or do not show effects of RF/ELF. Once this bias is removed, it becomes evident that the SCENIHR report should clearly state that the precautionary approach should be applied for the effects of electromagnetic fields because of lack of full scientific certainty. There as a number of deficiencies in the SCENIHR report. The report does not cover the published biophysical mechanisms for the effects of ELF and RF/microwaves. Examples include the mechanisms by Frölich, Liboff, Blanchard and Blackman, Chiabrera, Binhi. These mechanisms explain many experimental data such as dependence of ELF/RF effects on frequency and modulation. The SCENIHR report did not pay attention to these dependences nor the influence of a number of physical and biological parameters that have been recently reviewed [5-7]. Scientific data beginning from early pioneering studies by Devyatkov, Vilenskaja, Smoljanskaja in USSR and Adey, Bawin, Blackman in USA and recent publications from many countries provided evidence that microwave radiation induce biological effects at levels of exposure below those allowed by ICNIRP standards (so-called non-thermal or non-heating effects). The non-thermal effects of microwaves depend on a number of physical and biological variables (Appendix 1). By not taking these variables into account, scientists risk overlooking evidence of damage and risk adopting the misleading conclusion that there are no reproducible effects. The results of this bias is clearly seen in the conclusions of the SCENIHR report, which claims a lack of evidence for hypersensitivity to electromagnetic fields, and in the contrast made between epidemiologic and in vivo data regarding relationship of ELF exposure and leukemia in children (the available data are not comparable because of different variables). One of the reasons that past research fails to address these variables is that experimental tests are not always conducted using EMF real signals—in other words, signals encountered in every day life. In many past studies, exposures have been artificially generated in the laboratory and differ from real exposures in terms of carrier frequency, modulation, polarization, duration and/or intermittence. Most independent scientists now consider non-thermal effects either as proven or as possible. One example is Sweden, where most experts having experience in studying the effects of microwaves: Prof. B. Persson, Prof. L. Salford, Prof. L. Hardell, Prof. K. Hansson Mild, Ass. Prof. I. Belyaev, accept that non-thermal effects of microwaves can be detrimental for human health and have provided evidence for these effects in their studies. The SCENIHR report states that there are no mechanisms to explain the association of ELF exposure with increased childhood leukemia in contrast to the lack of such relationship for adults. Such mechanism has been recently reported [8]. The mechanism is based on the experimental data showing higher sensitivity of stem cells to adverse effects of microwaves from GSM/UMTS telephones as compared to other cell types. Since stem cells are more active in children, the mechanism of ELF acting through stem cells in children may explain the above mentioned differences and predict that children may be more likely affected by RF/microwave radiation from multiple sources including wireless and mobile phones, base stations, wireless networks of different types. 2 It is becoming increasingly clear that the SAR concept adopted by ICNIRP for safety standards may not be useful as a single parameter for the evaluation of risks from microwaves of mobile communication on health and well-being. A reappraisal of the role of other exposure parameters such as frequency, modulation, polarization, duration, and intermittence of exposure should be taken into account and is an urgent question to solve. Solving this question would greatly benefit from the knowledge of the biophysical mechanisms of the microwave effects. The understanding of mechanisms for the non-thermal microwave effects is far from being comprehensive, in part due to biased reports that minimize if not discount the possibility of nonthermal effects. One important conclusion stemming from the available in vitro and in vivo studies is that epidemiological studies should not be given priority for risk assessment before proper design of these studies will be available as based on mechanistic understanding of the microwave effects. This conclusion is based on two principle arguments. First, it is almost impossible to select controlunexposed groups because whole population in many countries is exposed to wide range of MW signals from various sources such as mobile phones and base stations/masts of various kinds, WLAN, WPAN, DECT wireless phones and second, the duration of exposure (must be at least 10 years for cancer latency period) may be more important for the adverse health effects of microwaves than Power Density/SAR. It should be stressed, that inappropriate definition of controlunexposed groups is a typical flow in those epidemiological studies that are not based on mechanistic issues regarding the non-thermal effects of microwaves [9]. Subjective dividing of telephone users into “exposed” and “unexposed-control” groups make such studies inconclusive or at the least biases against finding a statistical difference between the compared groups. It should be noted that one group of epidemiologists with a long-lasting experience in studying relationship between mobile phone usage and cancer risk have consistently been concerned regarding importance of the type of MW signal and the exposure duration [10-13]. The group of Hardell was the first epidemiological group in attempting to study separately the MW signals from cordless phones, analogue phones and digital phones. As a rule, analogue phones had the highest association with the cancer risk. Cordless phones were associated with the risk for brain tumors, acoustic neuroma, and T-cell lymphoma stronger or in the same degree as digital and analogue phones despite significantly lower SAR values were produced by cordless phones [10, 12-14]. This important result can be considered as an independent conformation, at the epidemiological level, of the observations from specially designed in vitro and in vivo studies that show non-thermal effects of microwaves depend not solely on SAR/PD but also on other parameters. It should be also noted that epidemiological data are controversial and methodological differences are a subject of debates between various research groups [14, 15]. However, the approach of the Hardell’s group is more valid from the mechanistic point of view and this should be taken into account when comparing with results with other epidemiological groups that are either not aware of or ignore the complex dependencies of the non-thermal effects of microwaves on variety of physical and biological parameters [15]. Because microwaves affect not only brain cells, but also affect blood cells [1-3, 16], skin and fibroblasts [17-20], stem cells [21, 22], reproductive organs and sperm quality [23-25] the using of hands-free cannot minimize all adverse health effects. Possibilities to minimize the adverse effects of microwaves using various biophysical and biochemical approaches should be studied. Identification of those signals and frequency channels/bands for mobile communication, which do not affect human cells, is needed as a high priority task for the development of safe mobile communication. Research to date has shown that neither the safe nor the potentially dangerous combinations of carrier frequency, modulation, polarization, duration and/or intermittence are easily predictable using currently available tools. New tools are needed based on the new data/information and insights to be generated. 3 References: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] R. Sarimov, L. O. G. Malmgren, E. Markova, B. R. R. Persson, and I. Y. Belyaev, "Nonthermal GSM microwaves affect chromatin conformation in human lymphocytes similar to heat shock," IEEE Transactions on Plasma Science, vol. 32, pp. 1600-1608, 2004. I. Y. Belyaev, L. Hillert, M. Protopopova, C. Tamm, L. O. Malmgren, B. R. R. Persson, G. Selivanova, and M. Harms-Ringdahl, "915 MHz microwaves and 50 Hz magnetic field affect chromatin conformation and 53BP1 foci in human lymphocytes from hypersensitive and healthy persons," Bioelectromagnetics, vol. 26, pp. 173-184, 2005. E. Markova, L. Hillert, L. Malmgren, B. R. Persson, and I. Y. Belyaev, "Microwaves from GSM Mobile Telephones Affect 53BP1 and gamma-H2AX Foci in Human Lymphocytes from Hypersensitive and Healthy Persons," Environ Health Perspect, vol. 113, pp. 1172-1177, 2005. I. Y. Belyaev, C. B. Koch, O. Terenius, K. Roxstrom-Lindquist, L. O. Malmgren, H. S. W, L. G. Salford, and B. R. Persson, "Exposure of rat brain to 915 MHz GSM microwaves induces changes in gene expression but not double stranded DNA breaks or effects on chromatin conformation," Bioelectromagnetics, vol. 27, pp. 295-306, 2006. I. Belyaev, "Non-thermal Biological Effects of Microwaves," Microwave Review, vol. 11, pp. 13-29, http://www.mwr.medianis.net/pdf/Vol11No2-03-IBelyaev.pdf, 2005. I. Y. Belyaev, "Risk assessment of chronic exposures to non-thermal microwaves from mobile communication," presented at the VALDOR 2006 Symposium, http://www.congrex.com/valdor2006/papers/40_Belyaev.pdf, Stockholm, Sweden, 2006. I. Belyaev, "Nonthermal Biological Effects of Microwaves: Current Knowledge, Further Perspective, and Urgent Needs," Electromagnetic Biology and Medicine, vol. 24, pp. 375 403, 2005. E. Markova, V. Altanerova, L. Hillert, L. Malmgren, B. Persson, and I. Belyaev, "Adverse effects of microwaves from GSM/UMTS mobile phones on human primary lymphocytes and stem cells depend on carrier frequency and type of signal," presented at V Russian Congress on Radiation Research (Radiobiology, Radioecology, and Radiation Protection), Moscow, Russia, 2006. S. Lonn, A. Ahlbom, P. Hall, and M. Feychting, "Long-term mobile phone use and brain tumor risk," Am J Epidemiol, vol. 161, pp. 526-35, 2005. L. Hardell, M. Eriksson, M. Carlberg, C. Sundström, and K. Hansson Mild, "Use of cellular or cordless telephones and the risk for non-Hodgkin's lymphoma," Int Arch Occup Environ Health, vol. DOI 10.1007/s00420-005-0003-5, 2005. L. Hardell and K. H. Mild, "Mobile phone use and acoustic neuromas," Epidemiology, vol. 16, pp. 415; author reply 417-418, 2005. L. Hardell, K. H. Mild, and M. Carlberg, "Further aspects on cellular and cordless telephones and brain tumours," Int J Oncol, vol. 22, pp. 399-407, 2003. L. Hardell, K. H. Mild, A. Pahlson, and A. Hallquist, "Ionizing radiation, cellular telephones and the risk for brain tumours," Eur J Cancer Prev, vol. 10, pp. 523-529, 2001. M. Kundi, K. Mild, L. Hardell, and M. O. Mattsson, "Mobile telephones and cancer - a review of epidemiological evidence," J Toxicol Environ Health B Crit Rev, vol. 7, pp. 351-384, 2004. A. Ahlbom, A. Green, L. Kheifets, D. Savitz, and A. Swerdlow, "Epidemiology of health effects of radiofrequency exposure," Environ Health Perspect, vol. 112, pp. 1741-1754, 2004. G. d'Ambrosio, R. Massa, M. R. Scarfi, and O. Zeni, "Cytogenetic damage in human lymphocytes following GMSK phase modulated microwave exposure," Bioelectromagnetics, vol. 23, pp. 7-13, 2002. F. Ozguner, G. Aydin, H. Mollaoglu, O. Gokalp, A. Koyu, and G. Cesur, "Prevention of mobile phone induced skin tissue changes by melatonin in rat: an experimental study," Toxicol Ind Health, vol. 20, pp. 133-139, 2004. S. Pacini, M. Ruggiero, I. Sardi, S. Aterini, F. Gulisano, and M. Gulisano, "Exposure to global system for mobile communication (GSM) cellular phone radiofrequency alters gene expression, proliferation, and morphology of human skin fibroblasts," Oncol Res, vol. 13, pp. 19-24, 2002. 4 [19] [20] [21] [22] [23] [24] [25] E. Diem, C. Schwarz, F. Adlkofer, O. Jahn, and H. Rudiger, "Non-thermal DNA breakage by mobile-phone radiation (1800 MHz) in human fibroblasts and in transformed GFSH-R17 rat granulosa cells in vitro," Mutat Res, vol. 583, pp. 178-183, 2005. T. A. Litovitz, D. Krause, M. Penafiel, E. C. Elson, and J. M. Mullins, "The role of coherence time in the effect of microwaves on ornithine decarboxylase activity," Bioelectromagnetics, vol. 14, pp. 395-403, 1993. J. Czyz, K. Guan, Q. Zeng, T. Nikolova, A. Meister, F. Schonborn, J. Schuderer, N. Kuster, and A. M. Wobus, "High frequency electromagnetic fields (GSM signals) affect gene expression levels in tumor suppressor p53-deficient embryonic stem cells," Bioelectromagnetics, vol. 25, pp. 296-307, 2004. T. Nikolova, J. Czyz, A. Rolletschek, P. Blyszczuk, J. Fuchs, G. Jovtchev, J. Schuderer, N. Kuster, and A. M. Wobus, "Electromagnetic fields affect transcript levels of apoptosis-related genes in embryonic stem cell-derived neural progenitor cells," Faseb J, 2005. M. Ozguner, A. Koyu, G. Cesur, M. Ural, F. Ozguner, A. Gokcimen, and N. Delibas, "Biological and morphological effects on the reproductive organ of rats after exposure to electromagnetic field," Saudi Med J, vol. 26, pp. 405-410, 2005. D. J. Panagopoulos, A. Karabarbounis, and L. H. Margaritis, "Effect of GSM 900-MHz Mobile Phone Radiation on the Reproductive Capacity of Drosophila melanogaster," Electromagnetic Biology and Medicine, vol. 23, pp. 29 - 43, 2004. I. Fejes, Z. Za Vaczki, J. Szollosi, R. S. Kolosza, J. Daru, L. Kova Cs, and L. A. Pa, "Is there a relationship between cell phone use and semen quality?," Arch Androl, vol. 51, pp. 385-93, 2005. Appendix 1 A range of variables that affect the way in which microwaves impact on the body includes: 1. Windows of frequency Some effects have been found in specific windows (ranges) of frequencies but not others. 2. Windows of power Similarly, effects have been found at particular power densities and not others. Some of the power densities at which effects have occurred compare to those found near base stations and other environmental sources of microwaves. 3. Duration of exposure Whether or not effects are detected depends not only on the length of exposure, but on the length of time after exposure that cells are examined. Increasing the amount of time spent in a field appears to counteract the benefits obtained by lowering the amount of exposure an organism receives. 4. Types of exposure Microwave signals can be either continuous of intermittent (for example five minutes on and five minutes off). A number of studies have shown that intermittent exposure has a greater effect than exposure to a continuous signal. 5. Polarization Microwave radiation can be oriented (polarised) in different directions—in plane or in a circle. Different orientations produce different effects. 6. Modulation Modulation occurs where one signal piggy-backs on another. How a signal is modulated will affect how it impacts on an organism. 7. Electromagnetic environment Background electromagnetic environment may influence the way in which an organism responds to microwaves. 8. Cell-to-cell communication 5 The way that cells communicate with each other also affects their response to microwaves. This is affected, for example, by the density of cells in a culture being studied. 9. Genetic factors, gender-related and individual differences Plants and animals of different genetic strains respond differently to identical exposures from microwaves. For example, transgenic mice exposed to mobile phone radiation showed an increased rate of lymphomas, whereas wild mice did not. Even sex may be a factor in how a person responds to microwave radiation. EEG readings have shown that exposure to microwaves decreased the EEG energy of males and increased that of females. 10. Physiological variables The physiological state of the organisms will also affect its response to microwaves. Cells, for example, will respond differently to microwaves according to their current phase of growth. The presence of oxygen in the cell will influence the effect of microwaves. And the presence of antioxidants such as melatonin and Ginkgo biloba has been shown to prevent the damaging effects of microwaves in some studies. 6