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No effects of GSM-modulated 900 MHz electromagnetic fields on survival rate and spontaneous development of lymphoma in female AKR/J mice
- Angela M Sommer†1,
- Joachim Streckert2,
- Andreas K Bitz2,
- Volkert W Hansen2 and
- Alexander Lerchl†1Email author
© Sommer et al; licensee BioMed Central Ltd. 2004
Received: 05 March 2004
Accepted: 11 November 2004
Published: 11 November 2004
Several reports indicated that non-thermal electromagnetic radiation such as from mobile phones and base stations may promote cancer. Therefore, it was investigated experimentally, whether 900 MHz electromagnetic field exposure influences lymphoma development in a mouse strain that is genetically predisposed to this disease. The AKR/J mice genome carries the AK-virus, which leads within one year to spontaneous development of thymic lymphoblastic lymphoma.
320 unrestrained female mice were sham-exposed or exposed (each n = 160 animals) to GSM like 900 MHz electromagnetic fields for 24 hours per day, 7 days per week, at an average whole body specific absorption rate (SAR) value of 0.4 W/kg. Animals were visually checked daily and were weighed and palpated weekly. Starting with an age of 6 months, blood samples were taken monthly from the tail. Animals with signs of disease or with an age of about 46 weeks were sacrificed and a gross necropsy was performed.
Electromagnetic field exposure had a significant effect on body weight gain, with higher values in exposed than in sham-exposed animals. However, survival rate and lymphoma incidence did not differ between exposed and sham-exposed mice.
These data do not support the hypothesis that exposure to 900 MHz electromagnetic fields is a significant risk factor for developing lymphoma in a genetically predisposed species, even at a relatively high exposure level.
The use of mobile phones is increasing worldwide, although electromagnetic fields emitted by mobile phones and base stations are a source of great concern. However, so far it is unclear, if non-thermal exposure has a direct influence on public health. French et al.  developed a theoretical model, by which radiofrequency radiation from mobile phones could induce cancer, via the chronic activation of the heat shock response. Non-thermal exposure to electromagnetic fields can result in an increased expression of heat shock proteins (hsp) [2, 3]. This is a normal defense response to cellular stress. However, chronic expression of hsp is known to induce or promote oncogenesis, metastasis and/or resistance to anticancer drugs . Additionally, 72 hours exposure of human lymphocytes to continuous 830 MHz electromagnetic fields caused a linear increase in chromosome 17 aneuploidy with rising specific absorption rates (SAR: 1.6–8.8 W/kg). This is a signal for genetic instability and may thereby lead to cancer development . In principal agreement, few epidemiological studies suggest a relationship between the use of mobile phones and uveal melanoma  or malignant brain tumors [6–9] However, the overall literature does not provide persuasive epidemiological evidence that mobile-phone-related emissions are carcinogenic, although mobile phones have not been in use long enough to exclude long-term impact on health .
It was suggested that non-thermal exposition to high-frequency electromagnetic fields may rather have a tumor promoter than an initiator effect , since DNA, generally, does not appear to be significantly altered or damaged by electromagnetic fields . In this respect it was discussed, if a possibly reduced excretion of the oncostatic hormone melatonin by electromagnetic fields may facilitate the development of estrogen dependent tumors . However, the results of different rodent studies concerning tumor promotion are not consistent. On the one hand, no difference in radiation or chemically induced tumor growth could be found after long-term exposure to electromagnetic fields (860–900 MHz) in rats or mice [13–15] Additionally, exposure of human leukaemia cells to electromagnetic fields failed to induce any changes in apoptosis, micronucleation or differential gene expression . On the other hand, long-term exposure to pulse-modulated electromagnetic fields similar to those used in digital mobile telecommunication significantly increased in one study the incidence of lymphoma in Eμ-Pim1 transgenic mice , which are genetically predisposed to develop lymphoma spontaneously, but not in another .
The differences between the studies may indicate that various species or strains as well as cancer types differ in their sensitivity to electromagnetic field exposure. The sensitivity to electromagnetic fields may result from an acquired lower resistance against adverse effects or a genetic predisposition . Different proportions of a sensitive subpopulation within an epidemiological or experimental study would influence the interpretation of a possible role in carcinogenesis. However, national or international thresholds for electromagnetic field intensities must ensure adequate health protection also for susceptible people.
AKR mice are widely used in cancer research for their high leukaemia incidence (60–100%) . Mice of this strain are viremic from birth and express in all tissues the retrovirus AKV, which is associated with spontaneous leukaemia development in mice [21–23]. Generally, leukaemia induced by a given virus is restricted to a single histopathological type; most common is a lymphocytic leukaemia originating in the thymus. However, the type of leukaemia induced can sometimes be altered by age or experimental manipulation [24, 25]. Using AKR mice, we studied the incidence of tumors and survival rates under chronic influence of high-frequency electromagnetic fields. Despite some physiological differences between mice and humans, a good correlation between known or assumed human carcinogens and test results in rodent studies has been described, often with the same organs affected in humans and in rodents . Therefore, the results of this study shall help to evaluate a possible health risk of mobile phones.
Animals and animal husbandry
320 female AKR/J mice were airfreighted from the Jackson Laboratory (Bar Harbor, ME, USA), at an age of 4–5 weeks. After arrival, animals were randomized and housed in groups of 6 or 7 on softwood bedding (Altromin, Lage, Germany) in polycarbonate cages (40 × 25 × 15 cm, W × L × H, Ebeco, Castrop-Rauxel, Germany), enriched with paper. Mice were allowed free access to mice standard food pellets (type 1324, Altromin) and tap-water. Twice a week cages were cleaned and water changed. Temperature was controlled at 21°C ± 2°C. The light was on a 12 hours light-12 hours dark cycle, with light on at 8 am. No sterilization measurements were taken, since AKR/J mice are not especially sensitive for pathogens. However, to prevent a possible transfection from humans to mice or mice to mice, respectively, masks and gloves were worn, which were sterilized between handling of different cages. Animals were inspected daily for signs of moribundity and were weighed (accuracy ± 0.1 g) and palpated weekly. Starting with an age of 6 months, blood samples were taken monthly from the tail. A tattoo in the ear allowed individual identification. The Bremen state commission for animal welfare according to §8a of the German animal welfare legislation approved the experiments (522-27-11/2-0).
In order to accomplish whole body exposure of a large number of non-restrained animals, one approach is to design exposure setups based on radial waveguides. Inside the waveguide the animals are kept in cages which are arranged at a constant distance from a radiating antenna in the centre, thus uniform exposure of the cages can be achieved. Another advantage is that the radial waveguide is an electromagnetic shielded system, on that score no costly shielding of any laboratory is necessary. The height of the waveguide is preferably chosen smaller than half a wavelength . Thereby, single-mode operation of the TEM-mode is possible and by this homogeneous field distribution inside every cage can be guaranteed. However, in the actual study the plate distance of the radial waveguide must be chosen larger than half the wavelength of the exposure frequency due to the prescribed height of the cages of about 16 cm. Consequently, higher order modes are able to propagate in addition to the TEM-wave, which have inhomogeneous field distributions in the waveguide's cross-section. Furthermore, the simultaneous propagation of several modes leads to interference effects and thus to an unstable exposure field.
After evaluation of all absorption rates per rodent it turned out that the standard deviation of the whole body SAR was ± 40%. The assessment of maximum localized SAR was performed by use of an anatomical mice model which was placed into the group of ellipsoids. (Figure 4b).
The required time-averaged input power of the exposure unit was 35 W. The presence of the field was monitored continuously, again via a "black box". In Streckert et. al  features of the exposure facility, which was previously used for experiments with rats, are described in detail.
Noise levels provoked by the integrated ventilation system were measured in close proximity to both units and were found to be identical (sound meter model 2218 with 1/3 octave filter set model 1616, Brüel & Kjaer, Naerum, Denmark). The total level was 69 dB (lin), and less than 25 dB at frequencies between 8 and 40 kHz. Thus possible disturbing effects of ultrasound were excluded.
Animals were sacrificed by CO2 gas when signs of a developing disease became evident or at an age of about 46 weeks, after a last blood sample was taken. A gross necropsy was performed focusing on main tissues of disease involvement (spleen, thymus and lymph nodes) and tumor infiltration (liver, kidney, lung, brain). Tissues were immersion-fixed in Bouin's solution for up to 24 h and subsequently in ethanol (70%), embedded in paraffin and sectioned at 5 μm. Blood smears were stained with Pappenheim's stain and tissue slices using hematoxylin and eosin. When a mouse was found dead in its cage (5 exposed, 7 sham-exposed mice) a necropsy was performed, but no tissues were fixed.
Group mean body weights were tested for a possible exposure influence in dependence of time, using multiple regression analysis (InStat 3.05, GraphPad). An unpaired t-test was applied to compare the loss of weight associated with lymphoma development. Survival curves and lymphoma incidence were plotted according to the method of Kaplan and Meier. Differences between curves were compared using the logrank test, with animals censored, which were still alive at the end of the study (Prism 4.01, GraphPad). Two-way ANOVA was used to test for possible changes in differential leucocytes counts with time and exposure.
Statistical significance of differences was tested two-sided at the p ≤ 0.05 level. If not indicated otherwise, data are given as means ± standard error of the mean. The exposure code was broken only after completion of the analyses.
Body weight and water consumption
Water consumption was approximately 4 g per day and mouse, and not different between exposed or sham-exposed animals (data not shown). This value is in accordance to the water intake measurements published by the Jackson Laboratory , and obviously not influenced by the experimental set-up.
Survival and incidence of lymphoma
The present study was designed to test the hypothesis that 900 MHz electromagnetic fields, modulated according to the global system for mobile communication (GSM), increases the risk of lymphoma incidence in female AKR/J mice. According to the results this hypothesis has to be rejected, since compared with sham-exposed females of this strain, a mean exposition of 0.4 W/kg SAR neither influenced the risk to develop lymphoma, nor the malignancy of the disease, only an influence on the growth pattern of the animals was observed. However, the present experiment does not allow any conclusions about tumor onset or the kinetics of tumor development, since for such type of study animals would have to be sacrificed and examined at fixed intervals irrespective of clinical symptoms.
Exposure to electromagnetic fields increased the growth rate in the nematode Caenorhabditis elegans , but decreased the birth weight of albino rat offsprings . In contrast, the growth pattern of Eμ-Pim1 mice was not changed due to exposure to electromagnetic fields [17, 18]. During the progression of the present experiment, female AKR/J mice showed a tendency to obesity. Accumulation of weight was significantly related to the exposition (see Figure 5), leading to a higher body weight gain in exposed compared with sham-exposed mice.
Food was available ad libitum, and various studies described effects of electromagnetic fields on the nervous system in humans or rodents [37–39]. It may, therefore, be possible that the exposure to the electromagnetic field influenced the appetite, leading to higher food intake. However, the exposure-independent water consumption does not indicate that major changes in the intake of food occurred.
Mitochondrial heat production is one of the main energy consuming processes in endotherms like mice [40, 41]. The Interaction of electromagnetic fields with water molecules in cells results also in heat production. Although the continuous exposure in our study should not have increased the mice's body temperatures, it may have contributed in keeping the animal's body temperature above ambient, therewith economizing mitochondrial heat production. If mitochondrial functions were not changed due to the electromagnetic field exposure, unchanged food intake may so have let to increased fat accumulation. In this context it is important to compare the SAR value of 0.4 W/kg with the total energy consumption of mice (approximately 5 W/kg), thus on the order of 10%. Since the electromagnetic energy is absorbed passively (i.e., not originating from metabolizing food), the increased body weight might be a consequence of a shift in energy utilization. This hypothesis, however, must be examined by specific studies of the mice' metabolism. Anyhow, such an effect would be visible only in long-term exposure studies and probably insignificant with only 1 hour exposure per day [17, 18].
A demonstration that long-term exposure to electromagnetic fields derived from mobile phones or base stations increases the incidence of tumors in animals would provide direct evidence that such radiation is carcinogenic. The most positive evidence of an effect of exposure to high frequency electromagnetic fields similar to that used by mobile phones was reported by Repacholi et al. , using Eμ-Pim1 transgenic mice, which are known to develop spontaneous lymphoma with a high incidence rate. Lymphoma risk was found to be significantly higher in the exposed Eμ-Pim1 mice than in the controls, mostly pronounced for non-lymphoblastic lymphoma. Humans are presently not known to carry an activated Pim1 gene, but other inherited gene defects are known that predispose carriers to develop cancer . However, an investigation within the electromagnetic energy program of the National Health and Medical Research Council of Australia, using the same Eμ-Pim1 mice from the same supplier (Taconic Farms, New York) as Repacholi et al. , did not find a significant effect of 898.4 MHz GSM radiofrequency radiation at SAR values of up to 4.0 W/kg . Because of the importance of these studies, a replication started according to plan in spring 2002 in Italy. First results are expected 2005. Nevertheless, the inconsistent results already indicated the need of further assessment of the relevance of such findings for human health .
A Japanese study showed that neither 1.5 GHz nor 929.3 MHz electromagnetic field exposure promotes liver carcinogenesis in a medium-term bioassay system, using partially hepatectomised F344 rats . A monopole antenna close to the constrained animals emitted a "near-field" radiation that resulted in SAR values of 0.45–0.68 W/kg as a whole-body average and of 0.9–1.9 W/kg in the liver. It was suggested that the applied "near-field", which is more in line with the actual exposure conditions of cellular telephone users, explains the differences to the study of Repacholi et al. , who employed a "far-field" and mean whole-body SAR values of 0.13–1.4 W/kg. However, the confinement may also affect the results [43, 44], as well as the different animal models: long-term exposure of genetically predisposed animals on the one hand and a medium-term bioassay of chemically induced carcinogenesis on the other hand. Therefore, it is difficult to decide which results are more relevant for human mobile phone users.
In the present study non-restrained mice that are genetically predisposed to develop lymphoma with a high incidence were exposed to a "far-field" similar to both Australian studies [17, 18], with the difference that our mice were exposed for 24 h, whereas their mice were exposed for 1 hour per day only. In contrast to Repacholi et al. , we could not observe an increased lymphoma risk. However, our study's results are consistent with the investigation within the electromagnetic energy program of the National Health and Medical Research Council of Australia . The authors also did not find a significant effect of 898.4 MHz GSM radiofrequency radiation at SAR values of up to 4.0 W/kg when compared to sham-irradiated animals. The overall conclusion of the present study as well as of data from the literature is that they lack evidence that electromagnetic field exposure increases the incidence of leukaemia in rodents.
The present study does not support the hypothesis that chronic exposure to high-frequency electromagnetic fields, similar to those emitted by mobile phones and base stations promote neoplastic development in the hematopoietic system in genetically predisposed mice. However, we cannot rule out that exposure to electromagnetic fields may be risk factors for other neoplastic development.
A special thanks goes to K. Grote and T. Ströhlein for their assistance with the animal experimentation and to T. Simon for her help in the histological and hematological analyses (all International University Bremen). This study was part of a project supported by the Bundesamt für Strahlenschutz, St. Sch 4315: "Wirkung chronischer Exposition mit einem athermisch wirkenden GSM-Mobilfunksignal auf die Entwicklung spontaner lymphatischer Leukämie bei frei beweglichen weiblichen Mäusen des AKR/J-Stammes".
- French PW, Penny R, Laurence JA, McKenzie DR: Mobile phones, heat shock proteins and cancer. Differentiation. 2001, 67: 93-97. 10.1046/j.1432-0436.2001.670401.x.View ArticlePubMedGoogle Scholar
- de Pomerai D, Daniells C, David H, Allan J, Duce I, Mutwakil M, Thomas D, Sewell P, Tattersall J, Jones D: Non-thermal heat-shock response to microwaves. Nature. 2000, 405: 417-8. 10.1038/35013144.View ArticlePubMedGoogle Scholar
- Leszczynski D, Joenvaara S, Reivinen J, Kuokka R: Non-thermal activation of the hsp27/p38MAPK stress pathway by mobile phone radiation in human endothelial cells: molecular mechanism for cancer- and blood-brain barrier-related effects. Differentiation. 2002, 70: 120-129. 10.1046/j.1432-0436.2002.700207.x.View ArticlePubMedGoogle Scholar
- Mashevich M, Folkman D, Kesar A, Barbul A, Korenstein R, Jerby E, Avivi L: Exposure of human peripheral blood lymphocytes to electromagnetic fields associated with cellular phones leads to chromosomal instability. Bioelectromagnetics. 2003, 24: 82-90. 10.1002/bem.10086.View ArticlePubMedGoogle Scholar
- Stang A, Anastassiou G, Ahrens W, Bromen K, Bornfeld N, Jockel KH: The possible role of radiofrequency radiation in the development of uveal melanoma. Epidemiology. 2001, 12: 7-12. 10.1097/00001648-200101000-00003.View ArticlePubMedGoogle Scholar
- Carlo GL, Jenrow RS: Scientific progress – wireless phones and brain cancer: current state of the science. MedGenMed. 2000, 2: E40-PubMedGoogle Scholar
- Hardell L, Hallquist A, Mild KH, Carlberg M, Pahlson A, Lilja A: Cellular and cordless telephones and the risk for brain tumours. Eur J Cancer Prev. 2002, 11: 377-386. 10.1097/00008469-200208000-00010.View ArticlePubMedGoogle Scholar
- Hardell L, Mild KH, Carlberg M: Case-control study on the use of cellular and cordless phones and the risk for malignant brain tumours. Int J Radiat Biol. 2002, 78: 931-936. 10.1080/09553000210158038.View ArticlePubMedGoogle Scholar
- Hardell L, Mild KH, Carlberg M: Further aspects on cellular and cordless telephones and brain tumours. Int J Oncol. 2003, 22: 339-407.Google Scholar
- IEGMP: Mobil phones and health. Report of an independent expert group on mobile phones. Chilton, Oxon: UK Minister of Public Health. 2000, National Radio Protection Board, [http://www.iegmp.org.uk]Google Scholar
- Goodman EM, Greenebaum B, Marron MT: Effects of electromagnetic fields on molecules and cells. Int Rev Cytol. 1995, 158: 279-338.View ArticlePubMedGoogle Scholar
- Blask DE, Sauer LA, Dauchy RT: Melatonin as a chronobiotic/anticancer agent: cellular, biochemical, and molecular mechanisms of action and their implications for circadian-based cancer therapy. Curr Top Med Chem. 2002, 2: 113-132.View ArticlePubMedGoogle Scholar
- Heikkinen P, Kosma VM, Hongisto T, Huuskonen H, Hyysalo P, Komulainen H, Kumlin T, Lahtinen T, Lang S, Puranen L: Effects of mobile phone radiation on X-ray-induced tumorigenesis in mice. Radiat Res. 2001, 156: 775-785.View ArticlePubMedGoogle Scholar
- Zook BC, Simmens SJ: The Effects of 860 MHz Radiofrequency Radiation on the Induction or Promotion of Brain Tumors and other Neoplasms in Rats. Radiat Res. 2001, 155: 572-583.View ArticlePubMedGoogle Scholar
- Bartsch H, Bartsch C, Seebald E, Deerberg F, Dietz K, Vollrath L, Mecke D: Chronic exposure to a GSM-like signal (mobile phone) does not stimulate the development of DMBA-induced mammary tumors in rats: results of three consecutive studies. Radiat Res. 2002, 157: 183-190.View ArticlePubMedGoogle Scholar
- Port M, Abend M, Römer B, Van Beuningen D: Influence of high-frequency electromagnetic fields on different modes of cell death and gene expression. Int J Radiat Biol. 2003, 79: 701-708. 10.1080/09553000310001606803.View ArticlePubMedGoogle Scholar
- Repacholi MH, Basten A, Gebski V, Noonan D, Finnie J, Harris AW: Lymphomas in Eμ-Pim1 transgenic mice exposed to pulsed 900 MHZ electromagnetic fields. Radiat Res. 1997, 147: 631-40.View ArticlePubMedGoogle Scholar
- Utteridge TD, Gebski V, Finnie JW, Vernon-Roberts B, Kuchel TR: Long-term exposure of Eμ-Pim1 transgenic mice to 898.4 MHz microwaves does not increase lymphoma incidence. Radiat Res. 2002, 158: 357-364.View ArticlePubMedGoogle Scholar
- Malkin D, Li FP, Strong LC, Fraumeni JFJ, Nelson CE, Kim DH, Kassel J, Gryka MA, Bischoff FZ, Tainsky MA: Germ line p53 mutations in a familial syndrome of breast cancer, sarcomas, and other neoplasms. Science. 1990, 250: 1233-1238.View ArticlePubMedGoogle Scholar
- Näf D, Krupke DM, Sundberg JP, Eppig JT, Bult CJ: The mouse tumor biology database: a public resource for cancer genetics and pathology of the mouse. Cancer Res. 2002, 62: 1235-1240.PubMedGoogle Scholar
- Chattopadhyay SK, Rowe WP, Teich NM, Lowy DR: Definitive evidence that the murine C-type virus inducing locus Akv-1 is viral genetic material. Proc Natl Acad Sci USA. 1975, 72: 906-910.View ArticlePubMedPubMed CentralGoogle Scholar
- Hartley JW, Wolford NK, Old LJ, Rowe WP: A new class of murine leukemia virus associated with development of spontaneous lymphomas. Proc Natl Acad Sci USA. 1977, 74: 789-792.View ArticlePubMedPubMed CentralGoogle Scholar
- Steffen D, Bird S, Rowe WP, Weinberg RA: Identification of DNA fragments carrying ecotropic proviruses of AKR mice. Proc Natl Acad Sci USA. 1979, 76: 4554-4558.View ArticlePubMedPubMed CentralGoogle Scholar
- Peled A, Haran-Ghera N: High incidence of B cell lymphomas derived from thymectomized AKR mice expressing TL.4 antigen. J Exp Med. 1985, 162: 1081-1086. 10.1084/jem.162.3.1081.View ArticlePubMedGoogle Scholar
- Peled A, Haran-Ghera N: Prevention of spontaneous AKR T cell lymphomagenesis by 24–666, a virus isolated from an AKR B cell lymphoma. Virology. 1991, 181: 528-535. 10.1016/0042-6822(91)90885-F.View ArticlePubMedGoogle Scholar
- National Toxicology Program: NTP Toxicology and Carcinogenesis Studies of 60-Hz Magnetic Fields in F344/N Rats and B6C3F1 Mice (Whole-body Exposure Studies). Natl Toxicol Program Tech Rep Ser. 1999, 488: 1-168.Google Scholar
- Schüller M, Streckert J, Bitz A, Menzel K, Eicher B: Proposal for generic GSM test signal. Proc 22nd BEMS Annual Meeting, Munich. 2000, 122-123.Google Scholar
- Hansen VW, Bitz AK, Streckert JR: RF exposure of biological systems in radial waveguides. IEEE Trans EMC. 1999, 41: 487-493.Google Scholar
- ICNIRP: Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz). Health Phys. 1998, 74: 494-522.Google Scholar
- Streckert J, Bitz A, Hansen V, Buschmann J: High SAR exposure of 24 rats at 900 MHz: problems of temperature limits and uniform field distribution. Millenium Workshop on Biological Effects of Electromagnetic Fields, Heraklion, Greece. 2000, 185-195.Google Scholar
- Mouse Phenome Database: food and water intake. [http://aretha.jax.org/pub-cgi/phenome/mpdcgi?rtn = assays/group&reqheading%20=%20food%20and%20water%20intake]
- Sommer AM, Lerchl A: The risk of lymphoma in AKR/J mice does not rise with life long exposure to 50 Hz magnetic fields. Radiat Res. 2004, 162: 194-200.View ArticlePubMedGoogle Scholar
- Fredrickson TN, Harris AW: Altas of Mouse Hematopathology. 2000, Amsterdam: Harwood Academic publishersGoogle Scholar
- Frith CH, Ward JM, Harleman JH, Stromberg PC, Halm S, Inoue T, Wright JA: Hematopoitic system. In International Classification of Rodent Tumors. Edited by: Mohr U. 2001, Heidelberg: Springer Verlag / WHO International Agency for Research on Cancer, 417-449.View ArticleGoogle Scholar
- de Pomerai DI, Dawe A, Djerbib L, Allan J, Brunt G, Daniells C: Growth and maturation of the nematode Caenorhabditis elegans following exposure to weak microwave fields. Enzyme Microb Technol. 2002, 30: 73-79. 10.1016/S0141-0229(01)00459-8.View ArticleGoogle Scholar
- Dasdag S, Akdag MZ, Ayyildiz O, Demirtas OC, Yayla M, Sert C: Do cellular phones alter blood parameters and birth weight of rats?. Electro Magneto Biol. 2000, 19: 107-113. 10.1081/JBC-100100301.View ArticleGoogle Scholar
- Edelstyn N, Oldershaw A: The acute effects of exposure to the electromagnetic field emitted by mobile phones on human attention. Neuroreport. 2002, 13: 119-121. 10.1097/00001756-200201210-00028.View ArticlePubMedGoogle Scholar
- Koivisto M, Krause CM, Revonsuo A, Laine M, Hamalainen H: The effects of electromagnetic field emitted by GSM phones on working memory. Neuroreport. 2000, 11: 1641-1643.View ArticlePubMedGoogle Scholar
- Salford LG, Brun AE, Eberhardt JL, Malmgren L, Persson BR: Nerve cell damage in mammalian brain after exposure to microwaves from GSM mobile phones. Environ Health Perspect. 2003, 111: 881-883.View ArticlePubMedPubMed CentralGoogle Scholar
- Hulbert AJ, Else PL: Mechanisms underlying the cost of living in animals. Annu Rev Physiol. 2000, 62: 207-235. 10.1146/annurev.physiol.62.1.207.View ArticlePubMedGoogle Scholar
- Brand MD, Couture P, Else PL, Withers KW, Hulbert AJ: Evolution of energy metabolism. Proton permeability of the inner membrane of liver mitochondria is greater in a mammal than in a reptile. Biochem J. 1991, 275: 81-86.View ArticlePubMedPubMed CentralGoogle Scholar
- Imaida K, Taki M, Watanabe S, Kamimura Y, Ito T, Yamaguchi T, Ito N, Shirai T: The 1.5 GHz electromagnetic near-field used for cellular phones does not promote rat liver carcinogenesis in a medium-term liver bioassay. Jpn J Cancer Res. 1998, 89: 995-1002.View ArticlePubMedGoogle Scholar
- Bellossi A: Effect of a pulsed magnetic field on AKR female mice offspring. Panminerva Med. 1992, 34: 40-4.PubMedGoogle Scholar
- Stagg RB, Hawel LH3, Pastorian K, Cain C, Adey WR, Byus CV: Effect of immobilization and concurrent exposure to a pulse-modulated microwave field on core body temperature, plasma ACTH and corticosteroid, and brain ornithine decarboxylase, Fos and Jun mRNA. Radiat Res. 2001, 155: 584-592.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/4/77/prepub
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