In this review, the effects of RF on male reproduction and the mechanisms related to them were examined and the results were discussed. “The effects of RF on sperm, reproductive hormones and testis, occupational exposure and male reproductive health, mechanisms of RF effects on reproductive system” were discussed here. In conclusion, further research is necessary to fully understand the mechanisms and implications of non-ionizing electromagnetic radiation on male infertility.
Excerpts
A total of 90 articles were evaluated in this review.
The effects of RF radiation on sperm
In conclusion, despite an incomplete understanding of the precise
mechanisms underlying the impact of non-thermal RF radiation on sperm
and testicular function, research across animal and human studies
consistently suggests a connection between increased levels of ROS
and/or DNA damage and negative impacts on fertility factors. This
indicates that the negative effects of RF radiation on sperm parameters
may primarily be linked to the induction of ROS. Furthermore, the
variability in study outcomes underscores the complexity of RF
radiation’s effects, which may be influenced by factors such as exposure
duration, frequency, and individual susceptibility. Therefore, limiting
mobile phone use may be advisable to mitigate the incidence of male
infertility. However, further research is warranted to explore the
long-term effects of mobile phone radiation on male fertility and the
generalizability of these findings (). Future studies should aim to
clarify the specific biological pathways affected by RF radiation and
standardize experimental protocols to resolve inconsistencies in the
literature.
The effects of RF radiation on DNA
In conclusion, these studies highlight the harmful effects of RF
radiation on male reproductive health, including DNA damage, decreased
sperm mobility and vitality, increased DNA fragmentation, and oxidative
stress. The variability in the findings, driven by differences in study
design, exposure parameters, and biological models, suggests that the
biological impact of RF radiation may be multifactorial, involving
complex interactions between ROS production, DNA repair mechanisms, and
cellular apoptosis pathways. It is advisable to limit RF exposure by
keeping mobile phones away from the pelvic region and minimizing the use
of RF-emitting electronic devices. However, given the inconsistent
outcomes across various studies, future research should focus on
standardizing experimental conditions and exploring the dose-response
relationship to better understand the threshold levels at which RF
radiation becomes detrimental to reproductive health. Further research
is necessary to fully understand the long-term implications of RF
radiation on human reproductive health.
The effects of RF radiation on reproductive hormones and testis
In conclusion, the research discussed in this section indicates that RF
radiation exposure could negatively affect male reproductive health,
leading to changes in hormone levels, testicular morphology, and sperm
count and viability (). Prolonged exposure to wireless internet and
mobile phones has been associated with alterations such as increased
abnormalities in sperm heads and reduced weight of reproductive organs.
Additionally, RF radiation can impact testicular parenchyma in rats,
resulting in irregularly shaped seminiferous tubules with epithelial
cell abnormalities. The complexity of these findings suggests that RF
radiation may induce a cascade of biological responses, including
oxidative stress, hormonal imbalances, and apoptotic processes, which
collectively contribute to testicular damage and compromised
reproductive health. The observed effects appear to be dose-dependent,
with longer durations and higher intensities of RF exposure correlating
with more severe reproductive outcomes. These findings emphasize the
importance of avoiding long-term exposure to RF radiation emissions,
particularly from wireless technologies, to prevent potential harm to
male reproductive health. Future research should focus on elucidating
the precise mechanisms by which RF radiation affects the reproductive
system and identifying potential protective strategies to mitigate these
effects.
In conclusion, the diverse findings from these studies shed light on the
complex relationship between occupational exposure, particularly to
radiofrequency radiation, and male reproductive health outcomes (). The
variability in study outcomes highlights the challenges in establishing a
clear causal link, suggesting that individual susceptibility, exposure
duration, and the specific characteristics of RF equipment used in
different occupational settings may play significant roles. Further
research is warranted to elucidate the underlying mechanisms and to
inform occupational health guidelines and practices. Future studies
should focus on standardizing exposure assessment methods and consider
long-term monitoring of workers in high-risk occupations to better
understand the cumulative effects of RF radiation. Additionally,
exploring potential protective strategies, such as shielding
technologies and exposure limits, could be critical in mitigating the
reproductive risks associated with occupational RF exposure.
Conclusion
This study comprehensively examined the mechanisms by which RF radiation may impact male reproductive health, focusing on both thermal and non-thermal pathways. The findings indicate that RF exposure, particularly through increased oxidative stress, ionic imbalances, and inflammation, can disrupt spermatogenesis and impair sperm quality. While thermal effects highlight the role of testicular temperature elevation, non-thermal mechanisms such as ROS generation and ionic dysregulation further emphasize the multifaceted nature of RF-induced reproductive toxicity. Despite the robust body of evidence, inconsistencies across studies warrant standardized research protocols to resolve methodological discrepancies. Future investigations should prioritize long-term exposure assessments and explore protective strategies to mitigate the risks associated with RF radiation. These efforts are critical for informing public health guidelines and ensuring reproductive health safety in the era of pervasive wireless communication technologies. Findings underline the importance of revisiting current regulatory standards to better protect reproductive health.
Brain cancer burden was higher in more developed countries and male population.
Brain cancer was related to HDI, GDP, brain injuries, carcinogens, and phone use.
There was an increasing trend of brain cancer in the younger male population.
Background: This study aimed to evaluate the global incidence, mortality, associated risk factors, and temporal trends of central nervous system (CNS) cancer by sex, age, and country.
Methods: We extracted incidence and mortality of CNS cancer from the GLOBOCAN (2020), Cancer Incidence in Five Continents series I-X, WHO mortality database, the Nordic Cancer Registries, and the Surveillance, Epidemiology, and End Results Program. We searched the Global Health data exchanges for the prevalence of its associated risk factors. We tested the trends by Average Annual Percentage Change (AAPC) from Joinpoint regression analysis with 95% confidence intervals in different age groups.
Results: The age-standardized rates (ASRs) of CNS cancer incidence and mortality were 3.5 and 2.8 per 100,000 globally. Southern Europe (ASR = 6.0) and Western Asia (ASR = 4.2) had the highest incidence and mortality, respectively. The incidence was associated with Human Development Index [HDI], Gross Domestics Products per capita [GDP], prevalence of traumatic brain injuries, occupational carcinogens exposure, and mobile phone use at the country level. There was an overall stable and mixed trend in the CNS cancer burden. However, increasing incidence was observed in younger male population from five countries, with Slovakia (AAPC = 5.40; 95% CI 1.88, 9.04; P = .007) reporting the largest increase.
Conclusions: While the overall global trends of cancer have been largely stable, significant increasing trends were found in the younger male population. The presence of some higher-HDI countries with increasing mortality suggested an ample scope for further research and exploration of the reasons behind these epidemiological trends.
Introduction: Electrohypersensitivity (EHS) refers to a syndrome in which individuals claim to suffer from a variety of symptoms that they attribute to electromagnetic fields. The characteristics of this specific hypersensitivity, particularly in terms of symptoms, are similar to those associated with high sensory processing sensitivity (HSPS). This article raises the question of the superposition of these two types of sensitivity and investigates the existence of a link between the two.
Methods: Participants (n = 100) completed a questionnaire measuring EHS and HSPS, as well as absorption, risk perception and avoidance strategies related to electromagnetic fields, and anxiety and depressive disorders.
Results: They showed an overrepresentation of highly sensitive people within the electrohypersensitive group. Furthermore, the results showed differences in terms of anxiety-depressive symptomatology and cognitive strategies (risk perception and avoidance strategies).
Discussion: The article discusses these results in the light of the literature and suggests avenues for future research and ways to help highly sensitive people, whether wor not this condition is considered to be caused by electromagnetic radiation.
Self-diagnosing electromagnetic hypersensitivity—A case study
Abstract
Abstract
Today, with the contribution of the new generation of communication technologies, many smart devices are produced. Almost every electronic device, including smart phones, smart watches, wireless headphones, tablets, emits some form of radiation. While most of this electromagnetic radiation is harmless, some of it can have potential health effects, depending on the frequency of use over long periods of time and in close usage. Specific Absorption Rate is a measure of how much human body tissue absorbs energy when the body is exposed to radiation. This measurement helps determine whether a device is safe for regular use. The SAR value may vary depending on the antenna and schematic design of the smartphone. To support high band requirements for 5G smartphones, more RF antennas required to be added in PCB design. When designing smartphones, designers also need to design proximity-grip sensors that accurately meet the industry's Specific Absorption Rate (SAR) requirements. In this study, the effects of proximity and grip sensors used in smartphones on LTE and 5G NR SAR values are investigated. During these measurements, a combination of Grip and Proximity Sensors were alternately turned on and off. Although the proximity sensor and grip sensor are not mainly used to optimize SAR values, it is foreseen that they may have indirect effects on SAR. In this context, SAR measurements were made in 3D environment for different frequencies. As a result of this study, it was observed that the grip-proximity sensors used in smartphones significantly reduce the SAR value and transfer less energy to the users in close range use. The effect of using the proximity sensor on the SAR rate was measured to be approximately 8%, while the effect of using the Grip Sensor was observed to be approximately 10%.
Abstract
Background: The rapid increase in the number of Mobile Phone Base Stations (MPBS) has raised global concerns about the potential adverse health effects of exposure to Radiofrequency Electromagnetic Fields (RF-EMF). The application of machine learning techniques can enable healthcare professionals and policymakers to proactively address concerns surrounding RF-EMF exposure near MPBS.
Objective: The current study aimed to investigate the potential of machine learning models for the prediction of health symptoms associated with RF-EMF exposure in individuals residing near MPBS.
Material and Methods: This analytical study utilized Support Vector Machine (SVM) and Random Forest (RF) algorithms, incorporating 11 predictors related to participants’ living conditions. A total of 699 adults participated in the study, and model performance was assessed using sensitivity, specificity, accuracy, and the Area Under Curve (AUC).
Results: The SVM-based model demonstrated strong performance, with accuracies of 85.3%, 82%, 84%, 82.4%, and 65.1% for headache, sleep disturbance, dizziness, vertigo, and fatigue, respectively. The corresponding AUC values were 0.99, 0.98, 0.920, 0.89, and 0.81. Compared to the RF model and a previously developed model, the SVM-based model exhibited higher sensitivity, particularly for fatigue, with sensitivities of 70.0%, 83.4%, 85.3%, 73.0%, and 69.0% for these five health symptoms. Particularly for predicting fatigue, sensitivity and AUC were significantly improved (70% vs. 8% and 11.1% for SVM, Multilayer Perceptron Neural Network (MLPNN), and RF, respectively, and 0.81 vs. 0.62 and 0.64, for SVM, MLPNN, and RF, respectively).
Conclusion: Machine learning methods, specifically SVM, hold promise in effectively managing health symptoms in individuals residing near or planning to settle in the vicinity of MPBS.
Open access paper: https://jbpe.sums.ac.ir/
Non-invasive, non-contact, and painless methods of electrical
stimulation to enhance neural function have been widely studied in
recent years, particularly in the context of neurodegenerative diseases
such as Alzheimer's disease (AD) and related dementias, which cause
cognitive decline and other neurological symptoms. Radiofrequency (RF),
which is a rate of oscillation in the range of 3 kHz to 300 GHz (3 THz),
has been suggested as one potential non-contact neuronal stimulation
(NCNS) technique for improving brain function. A new type of electrical
stimulation uses a radiofrequency electromagnetic field (RF-EMF). RF
exposure has been shown to modulate neural stimulation and influence
various brain activities in in vitro and in vivo models. Recent studies
have explored the effects of RF-EMF on human physiology, particularly in
areas such as brain activity, cognition, and sleep behavior. In this
review, we summarize recent findings about the effects of non-contact
stimulations in in vitro studies, in vivo animal models, and human
clinical cases.
Conclusions
The fifth generation (5G) of mobile communications promotes human
exposure to electromagnetic fields exploiting the 3.5 GHz frequency
band. We analyzed behaviors, cognitive functions, and gene expression in
mice submitted to asymmetrical head exposure to a 5G-modulated 3.5 GHz
signal. The exposures were applied for 1 h daily, 5 days per week over a
six-week period, at a specific absorption rate (SAR) averaging 0.19
W/kg over the brain. Locomotor activities in an open field, object
location, and object recognition memories were assessed repeatedly after
four weeks of exposure and did not reveal any significant effect on the
locomotion/exploration, anxiety level, or memory processes. mRNA
profiling was performed at the end of the exposure period in two
symmetrical areas of the right and left cerebral cortex, in which the
SAR values were 0.43 and 0.14 W/kg, respectively. We found significant
changes in the expression of less than 1% of the expressed genes, with
over-representations of genes related to glutamatergic synapses. The
right cortical area differed from the left one by an over-representation
of responsive genes encoded by the mitochondrial genome. Our data show
that repeated head exposures to a 5G-3.5 GHz signal can trigger mild
transcriptome alterations without changes in memory capacities or
emotional state.
Head-only exposures to a 5G-3.5 GHz signal were performed in awake restrained mice. Each mouse was habituated to the exposure conditions by progressively increasing the time during which the mouse was head-fixed (from 15 min to 60 min over a week) in a red plastic tube (internal diameter: 32 mm) with the hook screwed to a small plastic post (see Figure 1A,B). Each day, a dipole antenna (SID3500, MVG, Plouzané, France) was positioned 5 mm from the animal’s head in a fixed/standardized position (Figure 1B) for one hour in the vicinity of the right temporal cortex.
The exposure system was similar to the one described in a previous study [35], replacing the frequency emitted by the radiofrequency generator to generate a 5G-3.5 GHz signal corresponding to 5G NR (release 15, Digital Standards SMBVB-K444; Rohde & Schwarz, Munich, Germany) with FDD duplexing, QPSK modulation, and a 100 MHz channel bandwidth. Briefly, a radiofrequency generator emitting a 5G-3.5 GHz electromagnetic field (SMBV100B, Rohde & Schwarz) was connected to a power amplifier (ZHL-4W-422+, Mini-Circuits, Brooklin, NY, USA), a circulator (Pasternack, PE83CR1005, Irvine, CA, USA), a bidirectional coupler (Mini-circuits, ZGBDC30-372HP+, Brooklin, NY, USA) and a four-way power divider (Mini-circuits ZB4PD-462W-N+, Brooklin, NY, USA), allowing potential simultaneous exposure of four animals. A power meter (E4417A and E9323A, EPM-P Series Power Meter, Agilent, Santa Clara, CA, USA) connected to the bidirectional coupler allowed continuous measurements and monitoring of incident and reflected powers within the setup.
Each exposed mouse was matched with a PSD-exposed mouse that was in head-fixed restrained conditions next to it (at about 30 cm, Figure 1A). An antenna was also placed 5 mm from the head of the PSD-exposed mouse, but this antenna was not connected to the 5G-3.5 GHz generator.
Conclusions and Limitations
Altogether, our results show that 1h of daily head exposure to a 5G-3.5 GHz signal over a six-week period does not alter emotional state and memory performance but triggers significant modification of expression in a limited set of genes, which can potentially affect glutamatergic synapses and mitochondrial activities. We acknowledge the limitations of our study. We cannot exclude that prolongations of the head exposures beyond 6 weeks could ultimately affect the emotional state or memory abilities of the exposed mice. While the classical OF tests used in our study did not show 5G-induced change in the animals’ behavior, we cannot rule out subtle alterations in emotional state that might be revealed by applying other behavioral tests, such as the elevated plus maze or emergence tests [55]. The experiments were carried out with male mice because of the impossibility of separately housing male and female mice during 5G exposure and behavioral testing. Further investigation will be required to evaluate whether female and male mice could be differentially affected by chronic exposure to 5G-3.5 GHz. In addition, our RNA-seq analyses were performed at a single time point, e.g., 24 h after the last exposure to the 5G-3.5 GHz signal. The kinetics and reversibility of the reported changes in gene expression are undetermined, and further studies are needed to assess whether and to what extent the changes in transcript levels translate into proteomic or functional alterations in mitochondria and in glutamatergic synapses. The 5G-triggered transcriptome modifications were observed in cortical areas where the average SAR levels range around 0.43 or 0.14 W/kg. These SAR levels may be considered in light of the European safety guidelines for human head exposures [56], which set the upper SAR limit to 2 W/kg. This value is higher than the corresponding SAR levels reached in the brain due to the energy absorption in the surrounding skull tissues. Recent dosimetric analyses of human exposures to downlink RF-EMF from base stations show intracortical SAR levels attributed to environmental 5G-3.5 GHz that are much lower than the values applied in our study, being less than 1 mW/kg [9]. Further investigations are needed to specify the levels of SAR reached in the human cerebral cortex when mobile phones emitting a 5G-3.5 GHz signal are held close to the ear of the mobile-phone user.
A generator (AnaPico ASPIN4010—9 kHz–4000 MHz, Glattbrugg, Switzerland), located outside the climatic chambers, was set to produce a 3.5 GHz band signal for 5G exposure. It was coupled with an amplifier RFPA (RF26003800-4x0.5W) connected to one antenna (antenna Laird multi-band CFS60383) inside the chambers. For 2G exposure, the same generator was set to 900 MHz, paired with another amplifier RFPA (RFS7002500-6x0.5) capable of emitting this RF band, and connected to two antennas (Kathrein 800-10465, Rosenheim, Germany).
The antennas were aligned horizontally in the climatic chamber, 80 cm above the exposed rats’ boxes, thus at a height larger than 2.4λ and 9λ, at 900 MHz and 3.5 GHz, respectively, with λ representing the wavelength. The position of the antennas was adjusted to minimize the variation in the field amplitude within each cage and between cages.
Using an electric field probe EP600 (Narda Safety Test Solutions, Cisano sul Neva, Italy), we measured the intensity level in five different positions in each cage. An electric field of 1.6 ± 0.4 V/m was measured under 5G exposure and 1.6 ± 0.5 V/m under 2G exposure. These data were recorded on WinEP600 (Narda Safety Test Solutions, Cisano sul Neva, Italy). The transmitting device did not generate a static magnetic field. For the non-exposed groups (controls), the antennas in the adjacent climatic chamber remained unconnected to the generator.
Using these data, the mean intensity of the RF signal per cage was used to estimate the mean whole-body SAR during the experiment. The mean whole-body SAR was calculated to be 0.07 mW/kg for the 5G exposure and 0.24 mW/kg for the 2G exposure, following the method described by Mai et al. [4].
The electromagnetic reverberation chamber (RC) utilized in this experiment was developed by Wu Tongning's team at the Department of Environment and Security, China Institute of Information and Communication Technology (Li et al., 2016). Constructed with reinforced concrete, the RC is a large shielded enclosure featuring highly conductive reflective walls and multiple mechanical stirrers. The stirrers' rotation alters the chamber's boundary conditions, creating a statistically uniform, isotropic, and randomly polarized electromagnetic environment. Key components of the RC include signal generators, power amplifiers, and shielding structures. The chamber can produce electromagnetic waves within a frequency range of 0 to 3 GHz. In this study, 0.8 and 2.65 GHz frequencies were applied at a dose of 4 W/kg. The electric field intensity was calculated based on the mice's average body weight, with specific experimental parameters detailed in Table 1.
ConclusionsMahmoudi R, Karbalay-Doust S, Masoudi E, Jafari-Barmak M, Ghanbri A, Nikseresht M, Mortazavi SMJ, Mortazavi SA. (2024). Mitigating Heat-Induced Sperm Damage and Testicular Tissue Abnormalities: The Protective Role of Radiofrequency Radiation from Wi-Fi Routers in Rodent Models. Journal of Biomedical Physics and Engineering, (), -. doi: 10.31661/jbpe.v0i0.2405-1759
Background: Radiofrequency electromagnetic fields (RF-EMF) have raised concerns due to their potential adverse effects on reproductive health. However, emerging evidence indicates that exposure to low-level RF-EMF may induce adaptive responses, rendering cells or organisms more resilient to subsequent stressors.
Furthermore, the concept of adaptive response (AR) emerges as a potential mechanism through which cells may develop resistance to subsequent exposures to damaging agents. The induction of AR by RF-EMF and heat, as suggested by the study results, presents a fascinating avenue for further exploration into the protective mechanisms activated in response to low-level injuries.
The analysis showed that the basic model (two S- type pans) had the most magnetic leakage followed by one S-type pan, and two L-type pans. The analysis result was in agreement with the measurement results.
Abstract
Growing evidence indicates that migratory animals exploit the magnetic field of the Earth for navigation, both as a compass to determine direction and as a map to determine geographical position1. It has long been proposed that, to navigate using a magnetic map, animals must learn the magnetic coordinates of the destination2,3, yet the pivotal hypothesis that animals can learn magnetic signatures of geographical areas has, to our knowledge, yet to be tested. Here we report that an iconic navigating species, the loggerhead turtle (Caretta caretta), can learn such information. When fed repeatedly in magnetic fields replicating those that exist in particular oceanic locations, juvenile turtles learned to distinguish magnetic fields in which they encountered food from magnetic fields that exist elsewhere, an ability that might underlie foraging site fidelity. Conditioned responses in this new magnetic map assay were unaffected by radiofrequency oscillating magnetic fields, a treatment expected to disrupt radical-pair-based chemical magnetoreception4-6, suggesting that the magnetic map sense of the turtle does not rely on this mechanism. By contrast, orientation behaviour that required use of the magnetic compass was disrupted by radiofrequency oscillating magnetic fields. The findings provide evidence that two different mechanisms of magnetoreception underlie the magnetic map and magnetic compass in sea turtles.
There are few well-established biophysical mechanisms by which external magnetic fields can influence the biochemistry of molecules in living systems. The radical pair mechanism is arguably the most promising. In this mini-review I summarize the characteristics of radical pairs in a way that may be useful to those engaged in the field of magneto-oncology. The intention is to help researchers decide whether an observed biomedical magnetic field effect could have its origin in radical pair biochemistry. Armed with a physically plausible interaction mechanism, it may be possible to devise and refine a theoretical model and thereby iteratively optimise therapeutic protocols. Such an approach may also help identify experimental artefacts.
Prokscha A, Sheikh F, Jalali M et al. Perspectives on terahertz honey bee sensing. Sci Rep 15, 10638 (2025). doi: 10.1038/s41598-025-91630-8.
Abstract
Terahertz (THz) technology provides precise monitoring capabilities in
dynamic environments, offering unique insights into insect habitats. Our
study focuses on environmental monitoring of European honey bees (Apis
mellifera) through a combination of measurements and simulations.
Initially, the dielectric material properties of honey bee body parts
are characterized across the spectral range of 1–500 GHz to collect
heterogeneous empirical data. To extend the study, honey bee mockups
made from polyamide 12 (PA12) and epoxy resin are employed and validated
as effective substitutes for real bees through comparative scattering
analyses. The research further explores radar cross-section (RCS),
imaging, and spectral properties using advanced THz technologies,
including resonant tunneling diodes (RTDs) operating at 250 GHz and THz
time-domain spectroscopy (THz-TDS) for frequencies exceeding 250 GHz.
High-resolution imaging, utilizing a 450 GHz bandwidth, captures
intricate anatomical features of both real and 3D-printed bees,
showcasing the potential of THz technology for detailed environmental
monitoring. Finally, simulations at 300 GHz assess the dosimetry and
feasibility of non-invasive, continuous monitoring approaches based on
the heterogeneous honey bee model.
Open access paper: https://www.nature.com/