Skip to main content
Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Improvement of Spatial Memory Disorder and Hippocampal Damage by Exposure to Electromagnetic Fields in an Alzheimer’s Disease Rat Model

  • Xiao Liu,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Hongyan Zuo , (HZ); (DW)

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Dewen Wang , (HZ); (DW)

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Ruiyun Peng,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Tao Song,

    Affiliation Beijing Key Laboratory of Bioelectromagnetism, Institute of Electrical Engineering, Chinese Academy of Sciences, 6 North Second Street, Zhongguancun, Beijing, China

  • Shuiming Wang,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Xinping Xu,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Yabing Gao,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Yang Li,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Shaoxia Wang,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Lifeng Wang,

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China

  • Li Zhao

    Affiliation Department of Experimental Pathology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Haidian District, Beijing, China


Although some epidemiological investigations showed a potential association between long-term exposure of extremely low frequency electromagnetic fields (ELF-EMF) and Alzheimer’s disease (AD), no reasonable mechanism can explain this association, and the related animal experiments are rare. In this study, ELF-EMF exposure (50Hz 400µT 60d) combined with D-galactose intraperitoneal (50mg/kg, q.d., 42d) and Aβ25–35 hippocampal (5μl/unilateral, bilateral, single-dose) injection was implemented to establish a complex rat model. Then the effects of ELF-EMF exposure on AD development was studied by using the Morris water maze, pathological analysis, and comparative proteomics. The results showed that ELF-EMF exposure delayed the weight gain of rats, and partially improved cognitive and clinicopathologic symptoms of AD rats. The differential proteomic analysis results suggest that synaptic transmission, oxidative stress, protein degradation, energy metabolism, Tau aggregation, and inflammation involved in the effects mentioned above. Therefore, our findings indicate that certain conditions of ELF-EMF exposure could delay the development of AD in rats.


Extremely low frequency electromagnetic field (ELF-EMF) is generated mostly by electric equipment, such as high voltage transmission lines, transformer substations, motors, and household appliances, with a frequency ranging from 0 to 300 Hz [1]. The most obvious problems with ELF-EMF biological effect studies are inconsistent and non-comparable results, which are possibly caused by different experimental parameters (frequency, flux density, and duration of ELF-EMF exposure) and subjects (cell lines, species, strains, sex, and age). Therefore, the dose-effect relationship and biological mechanisms of ELF-EMF are not fully understood.

Alzheimer's disease (AD) is an age-related progressive neurodegenerative disease characterized by progressive memory loss and a decline of cognitive function. The characteristic pathological changes of AD mainly include differing degrees of neuronal loss or apoptosis, senile plaques (SP) formed by extracellular deposits of amyloid-β (Aβ), and intracellular neurofibrillary tangles (NFT) constituted by hyperphosphorylated microtubule-associated protein tau (Tau) in the brain[2]. With the rapid growth of the elderly population in the world, the incident number of AD is also increasing year by year. AD represents a tremendous burden on patients, families, and societies.

Although some epidemiological investigations have shown a potential association between long-term exposure of ELF-EMF and AD[35], but few correlated animal experiments have been reported and no understood mechanism can reasonably explain this association. Over the past few years, various AD animal models have been established based on the possible mechanisms of AD. Previous studies have shown that D-galactose can cause premature aging and organ decline[6], and the intracerebral injection of Aβ25–35 peptide fragments can induce AD-like clinicopathologic features[7]. Therefore, ELF-EMF exposure combined with D-galactose intraperitoneal and Aβ25–35 hippocampal injection was implemented in this study to establish a complex rat model. (The injection treatment was base on the method used by Guo LL[8] and Liu S[9].) Through this model, we will have a better understanding of the relationship between ELF-EMF exposure and AD development, then to further explored its mechanism.


2.1. Animal Elimination and Grouping

80 male Wistar rats aged 8 weeks (weight 212.6 ± 13.6g) were provided by the Experimental Animal Center of the Academy of Military Medical Science. According to individual difference in learning and memory ability, the Morris water maze training session(refer to section “2.3. Morris water maze”) was implemented to measure the average escape latency (AEL) of each rat before grouping. The outliers was figured out based on the Grubbs criterion[10] Then 16 corresponding rats were eliminated. The remaining 64 rats were randomly divided into control group (Con), magnetic field group (MF), Alzheimer’s disease group (AD), and complex model group (AD+MF). The animal use protocol was approved by the Animal and Human Use in Research Committee of the Academy of Military Medical Science. Rats were free with food and water, under the environment of constant temperature (23.0 ± 0.5°C) and humidity (65–75%) with a 12 h light/dark cycle (light on from 8:00–20:00).

2.2. Modeling

ELF-EMF exposure.

The ELF-EMF animal exposure system was established by the Institute of Electrical Engineering, Chinese Academy of Sciences and consisted of voltage-regulator and two parallel coaxial circular coils with 70cm height, 140cm diameter. Two modular breeding devices were used in this research. Each one was comprised of 4 individual boxes with 20cm height, 50cm radius quadrant bottom. 16 rats of each group were divided and 8 rats were kept in each box (Fig 1). Group MF and AD+MF were placed in room2. which installed ELF-EMF exposure system. When the input current is 50Hz 1.65A, Gauss Meter(EFA300, Narda Safety Test Solutions GmbH, Germany) shows that the interior ELF-EMF intensity in breeding device is ringwise attenuating but longitudinal unchanged along the axis of the coils. It’s 50Hz and about 420uT at the vertex, 400uT at 25cm to the vertex, and 380uT at the edge of the box. Rats were continuously raised in the device, and exposed by ELF-EMF 24 hour a day for 60d. Group Con and AD were placed in room1, which was on the same floor and in the same ventilation system with room2. So the humidity, light, temperature, air quality of the two room were exactly equal. When the exposure system started in room1, the background magnetic field of room2 (involved, ELF-EMF created by electrical appliances, such as electric light, air conditioning etc.) was measured by Gauss Meter and identified below 400nT.

Fig 1. Flow Diagram of Experiment.

The average escape latency (AEL) of 80 male Wistar rats were detected by Morris water maze (WMW) training session, then 16 outliers were eliminated. The remaining 64 rats were randomly divided into 4 group. 16 rats of each group were divided and 8 rats were kept in each box. ELF-EMF exposure system was installed in room2. When the exposure started, rats of AD and AD+MF groups received D-galactose intraperitoneal and hippocampal injection. Con and MF groups were injected with same volume of normal saline(NS). 15min and 5d after terminateion of 60d ELF-EMF exposure, 5 rats from each group were decapitated after becoming deeply anesthetized, and the hippocampus were collected. Then pathological analysis and proteomics study were performed. The learning and memory of 11 rasts from each group were detected by MWM test session.

AD animal.

D-galactose (Sigma, USA) and Aβ25–35 (Sigma, USA) were dissolved with 0.9% NaCl saline to reach a concentration of 3 g/L and 1 μg/μl, respectively. Aβ25–35 was aggregated by in vitro incubation at 37°C for 7 days and then stored at 4°C. After the ELF-EMF esposure bigins, rats of AD and AD+MF groups received D-galactose (50 mg/kg) intraperitoneal injection once a day for 42 days. Con and MF groups were injected with the same volume of saline. At 43th day, rats were anesthetized by intraperitoneal injection with 2% pentobarbital sodium (60 mg/kg), subsequently received hippocampal injection (5μl/unilateral, bilateral) of Aβ25–35 (AD and AD+MF group) or saline (Con and MF group) through a stereotaxic apparatus (BW-SDA903, Shanghai Bio-will Co. Ltd., China) and microinjection system (Ultra Micro Pump with SYS-Micro4 Controller, World Precision Instruments Inc., USA). Hippocampal injection was performed in the CA3 region(Fig 2) at the speed of 1 μl/min, and the orientation was AP, -3.5 mm; ML, ±3 mm; DV, 3.5 mm. Then rats were given an intramuscular injection of penicillin sodium (50,000 units) once a day for 3 days.

Fig 2. The hippocampal injection site and pathologic change in the CA3 region after exposure to 50 Hz and 400 μT of ELF-EMF for 60 days.

(A-a): Hippocampal formation. (A-b, c): 1d and 7d after hippocampal injection, HE staining, →: injection site. (B) HE staining. CA3 region was enlarge in the right bottom box. →: nuclear contraction. (C) Electron microscope observation. →: neurofibrillary tangle; ▲:lipofuscin deposition; ∆: well and focal cavitations of mitochondria.

After the surgery, 3 rats of Con group, 1 of MF, 1 of AD and 2 of AD+MF died due to over anesthesia and postoperative infection. The other rats recovered well. The weight of each rat was recorded once a week during experiment.

2.3. Morris water maze

Morris water maze test is a behavioral procedure widely used in behavioral neuroscience to study spatial learning and memory[11]. In this study, the Morris water maze (SLY-WMS, Beijing Shuolinyuan Company, China) is a 180cm diameter circular swim pool that filled with 30cm depth water and be surrounded by lighttight curtain. Milk powder was added to muddy the water, and the temperature was kept at 25.0 ± 0.5°C. The water surface was divided into four quadrants, and an escape platform with 8cm diameter was placed at the center of quadrant I. The computerized tracking system and software (SLY-WMS, Beijing Shuolinyuan Company, China) was used to recorded the movements of rats. The MWM procedure refer to Vorhees CV, et al[11].

The MWM training session.

This session was performed once a day for three consecutive days before ELF-EMF exposure. In this session, rat was put into water facing the wall in turn from quadrant I to IV. Rats were allowed to swim to search the platform for 60s. When boarded the platform, rats should be kept on it for 20s, then be put into next quadrant until finished the training of quadrant IV. Finally rats were dried with the towel and put back to the breeding device. The time that rats takes to find and board the platform was recorded as the escape latency (EL). If the rat can't find the platform in 60s, the EL was recorded as 60s. The average escape latency (AEL) of the four quadrants was calculated and used to animal elimination (refer to section “2.1. Animal Elimination and Grouping”).

The MWM test session.

This session was performed once a day for five consecutive days after ELF-EMF exposure. The first four test sessions which called “place navigation trial” were similar to the training session mentioned above, except that the rats did not need to stay on the platform for 20s. Then the swimming speed and AEL of each rat was recorded. In the fifth test which called “space exploration trial”, the platform was removed, rats were put into the water from the edge of quadrant IV and allowed to swim for 60s, then the percent of time spent in quadrant I was recorded.

37 rats (8 in Con, 10 in MF, 10 in AD, 9 in AD+MF) participated this session. Then the outliers was eliminated based on the Grubbs criterion[10]to make the sample size in each group equivalent to 8.

2.4. Pathological analysis

15min and 5day after the termination of ELF-EMF exposure, 5 rats from each group were decapitated after becoming deeply anesthetized by 2% pentobarbital sodium (60 mg/kg i.p.). Then brains were collected and cut into left and right hemispheres.

4 left hemispheres from each group was fixed with 10% formalin and 5 μm paraffin sections were prepared. Then 2 Hematoxylin-Eosin (HE) and 2 Toluidine blue staining of each cerebral hemisphere was made and observed by microscope. The pathological image analysis system (CMIAS, Beijing University of Aeronautics and Astronautics, China) was used to quantitatively analyze the content of Nissl bodies in hippocampal CA3 neurons. The optical density of 2 visual fields, which were randomly selected from each Toluidine blue stained sections, were measured. Finally, the mean optical density (MOD) was calculated and used to judge the content change of Nissl bodies.

The others 3 unilateral hippocampus (1 left and 2 right from each group) was collected and cut into 1mm3 sections, fixed by glutaraldehyde and osmic acid, dehydrated by alcohol and acetone, embedded by resin, sliced into 40nm ultrathin sections, and stained by uranyl acetate and chromatic acid. The ultrastructural changes were observed under transmission electron microscope (TEM)(CM120, Philip, the Netherlands).

2.5. Proteomics study

15min after the termination of ELF-EMF exposure, 3 right hippocampus from each group was disrupted by ultrasonic disrupter (BL99-IIDL, Wuxi Voshin Instruments Co., LTD, China), then separately and sequentially processed through the following methods: Bradford method, immobilized pH gradients isoelectric focusing (IPGphor IEF System, Amersham Pharmaci Biotech Ltd, USA), SDS-PAGE (PROTEAN IIxi Cell, Bio-Rad, USA), silver staining, gel image scanning (ImageScanner, Amersham Pharmacia Biotech Ltd, USA), and images analysis (PDQuest 2-D Analysis Software 8.0, Bio-Rad, USA). Then the protein which was statistically different and has content ratio of >2 were considered to be differentially expressed. After in-gel protein digestion, the differential proteins were identified by peptide mass fingerprinting (PMF), peptide sequence tag (PST) technology, and a database search. Next, matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy (MALDI-TOF-MS) measurements were performed on a Bruker Reflex III (Bruker Daltonik, Bremen, Germany), and nano ultra-high performance liquid chromatography electrospray ionization mass spectrometry tandem mass spectrometry (NanoUPLC-nano-ESI-MS/MS) was performed on a SYNAPT G2-S (Waters Inc., Manchester, UK). Then the database search was performed by the program MASCOT (, and peptide mass searches against the NCBInr database were performed for protein identification. Finally, the protein function was confirmed by a PubMed and UniProt database query.

2.6. Statistical analysis

The data were expressed as the mean ± standard deviation, and analyzed by the SPSS Statistics 17.0 software (SPSS Institute, USA). A value of P < 0.05 was considered to be statistically significant.


3.1. ELF-EMF exposure delayed the weight gain of rats

Weight data of 8 rats in each group were analyzed with three-factor (of which time was the repeated measurement) ANOVA analysis. Results (Fig 2) showed that ELF-EMF exposure significantly delayed the weight gain of rats (P = 0.001), but AD modeling has no significant effect on the weight (P = 0.898). The post hoc test suggest that compared with Con group, the weight gain of MF group significantly decreased (P = 0.017) fout weeks after the ELF-EMF exposure started. This change can be seen even one week early between group AD and AD+MF (P = 0.007).

3.2. ELF-EMF exposure improved the spatial learning disorder of AD rats

15min after terminated ELF-EMF exposure, AD rats were observed swimming quicker than the rats in group Con (P = 0.024), MF(P = 0.004) and AD+MF(P = 0.019). At 1d, AD(P = 0.020) and AD+MF(P = 0.000) group was significantly faster than Con group, and the AD+MF group even faster than AD(P = 0.000) (Fig 3). These results suggest that AD modeling may increased the anxious motion on rat.

Fig 3. Weight and average escape latency (AEL) changes of rats during and after exposed to 50 Hz and 400 μT ELF-EMF for 60 days.

(A) Weight changes of rats during exposure. Three weeks after ELF-EMF exposure started, compared with AD group the weight gain of AD+MF group significantly decreased (P = 0.007). This change can be seen at four week between group MF and Con (P = 0.017). (B) Swimming trajectory of rats 3 days after termination of exposure. The water surface was divided into I-IV quadrants, and the platform was positioned at the center of quadrant I. (C) Swimming speed changes of rats 0–3days after termination of exposure. (D) AEL changes of rats 0–3days after termination of exposure. (E) Percent of time spent in quadrant at 4day after termination of exposure. vs Con ** P < 0.01 * P < 0.05, vs MF ▲▲P < 0.01 ▲P < 0.05, vs AD P < 0.01 P < 0.05.

At 2d and 3d, the AEL of MF (2d P = 0.018, 3d P = 0.013) and AD (2d P = 0.028, 3d P = 0.001) group were significantly prolonged than Con(Fig 3), and at 3d the AEL of group AD+MF was shorter than AD (P = 0.032). Three-factor (of which time was the repeated measurement) ANOVA analysis showed that ELF-EMF significantly improved the AEL extension of AD rats (P = 0.001). At 4d, the percent of time spent in quadrant I decreased significantly in the MF (P = 0.005), AD (P = 0.018), and AD+MF (P = 0.035) groups (Fig 3). Multi-factor ANOVA analysis further discovered that AD modeling obviously increased swimming speed of rats (P = 0.001). Otherwise, ELF-EMF exposure significantly relieved the extension of AEL (P = 0.001) and the contraction of time spent in quadrant I (P = 0.027) that induced by AD modeling.

It has been confirmed that repetitive training would help to form spatial memory. Rats were taught to remember the location of platform. Normally, AEL tend to decreased but the percent of time spent in quadrant I increased with the training times. So these two metrics have been considered as being prognostic with regard to spatial learning disorder[11]. Therefore these results suggested that ELF-EMF exposure might partially improved the spatial learning and memory disorder on AD rats.

3.3. ELF-EMF exposure improved the pathological damages of the hippocampus in AD rats

15min and 5day after ELF-EMF exposure, the HE staining sections of the four left hemispheres from each group were observed under microscope. Nerve injury changes such as nuclear contraction, cell edema, and perivascular space broadening was observed in CA1, CA3 and dentate gyrus(DG) region hippocampus within all treatment group (Fig 2).

Moreover, at 15min the typical pathological changes of AD included neuronal apoptosis, neurofibrillary tangles and lipofuscin deposition were observed in hippocampus of AD and AD+MF group through TEM (Fig 2). The other ultrastructure changes such as well and focal cavitations of mitochondria, dilation and degranulation of rough endoplasmic reticulum, and the fuzzy synaptic clefts, has been observed in all treatment groups. 5 days later, the injury mentioned above was about the same in group AD, but partly improved in group MF and AD+MF.

Quantitative analysis results shows that the Nissl bodies of hippocampal neurons significantly decreased in all treatment group (Fig 4) at 15min (P are all = 0.000) after the termination of ELF-EMF exposure. 5 days later, compared with group Con, the content of Nissl bodies was recovery in group MF, but still more lower in group AD (P = 0.000) and AD+MF (P = 0.006). The comparison of MOD at two time points show us further that Nissl bodies of MF group significantly increased at 5 day (P = 0.042). This result suggest the decrease of the Nissl bodies caused by ELF-EMF exposure was recoverable. Base on three-factor ANOVA analysis, we found that AD modeling can decrease the content of Nissl bodies (P = 0.042), and the ELF-EMF exposure can alleviate this decrease (P = 0.015).

Fig 4. Nissl bodies changes in the CA3 region of rat hippocampus after exposure to 50 Hz and 400 μT of ELF-EMF for 60 days.

(A) Toluidine blue staining. (B)Image analysis results of Nissl bodies. The mean optical density (MOD) was calculated and used to judge the content change of Nissl bodies. vs Con ** P < 0.01 * P < 0.05, vs MF ▲▲P < 0.01 ▲P < 0.05, vs AD P < 0.01 P < 0.05.

3.4. Effects of ELF-EMF exposure on hippocampal protein profiling of AD rats

PDQuest 8.0 image analysis showed that six proteins were differentially expressed between the MF and Con groups instantly after ELF-EMF exposure, among which were four proteins that were up-regulated and two that were down-regulated in the MF group. There were four differential proteins between the AD and Con groups, one protein that was up-regulated and three that were down-regulated in the AD group. Eighteen proteins were differentially expressed between the AD+MF and AD groups; 11 proteins were up-regulated and seven were down-regulated in the AD+MF group (Table 1). These results suggest that ELF-EMF exposure resulted in more obvious changes of the hippocampal protein profile of AD model rats compared with normal rats, and that there were more up-regulated proteins. Furthermore, 15 proteins, which had both statistically difference and content ratio of >2 between any two groups, were identified by NanoUPLC-nano-ESI-MS/MS (9 proteins) or MALDI-TOF-MS (6 proteins) analysis (Table 2). The functions of the identified proteins are involved in synaptic transmission (SNCG, SNAP-25b), oxidative stress (CFL1, PRDX5, PRDX6), protein degradation (UCH-L1, UBE2N), energy metabolism (DUSP3, DDT, PDHE1-B, ECH), Tau aggregation (Tpi1, EFHD2), inflammation (FABP), and brain injury (MBP). These identified proteins may provide important clues for further investigation on the mechanisms of ELF-EMF exposure on AD development.

Table 1. The amount of differential proteins expressed in the rat hippocampus after exposure to 50 Hz and 400 μT ELF-EMF for 60 days.

Table 2. NCBI database results from 15 differential proteins identified by mass spectrometry.


4.1. ELF-EMF parameters

Many researches have proven that the bio-effect of ELF-EMF is related to the magnetic frequency, flux density, and exposure duration. In China, the power source of appliances is 220 V and 50 Hz alternating current; therefore, people are most frequently exposed to 50 Hz ELF-EMF during daily living. Early reports have indicated that exposure to 100 μT and 50 Hz for 12 weeks had no effect on the learning and memory ability of rats[12]. Furthermore, 0.5 mT and 50 Hz of acute exposure treatments for 20 min showed no effect on the social and territorial behavior of rats, but may increase passivity and situational anxiety of the rats[13]. In addition, depressive-like behavior was found following 28–42 days of continued exposure[14]. A magnetic flux density that reaches 8 mT, 50 Hz, for 20 min may impair consolidation of spatial memory in rat[15], and 90 min[16] or 4 h[17] exposure showed devastating effects on the memory function of mice. According to the ICNIRP Guidelines (2010)[18], the occupational and public reference exposed threshold for 50 Hz ELF-EMF is 1 mT and 200 μT. In pre-experiment we found that 60d ELF-EMF exposure with 200uT 50Hz does not produce any significant effect in rats. So, we doubled the intensity, then the 400uT density was used in this study. In addition, 6 weeks consecutive peritoneal injection and 2 weeks postoperative recovery are needed to establish an AD rat model. Therefore, the parameters of the ELF-EMF exposure were 50 Hz, 400 μT, and 60 days in our study.

4.2. How should we define the bioeffect of ELF-EMF exposure—negative or positive?

In 1979, Wertheimer and Leeper[19] first reported the possible association between ELF-EMF exposure and childhood leukemia. Since that time, the negative effects of ELF-EMF was adopted and extensively researched. Epidemiological investigations identified that ELF-EMF exposure can cause the total decline of sleep quality[20], and some neurological symptoms, such as depression, anxiety, fatigue, and memory decline[21]. In addition, some reports have suggested the potential association between ELF-EMF and AD. For example, Schulte PA et al.[22] found that AD occurs more frequently in some occupations than in others. A study[23] further supported an increased risk of AD among employees occupationally exposed to ELF-EMF. Huss et al.[24] found that there was a dose-response relationship with respect to years of residence in the immediate vicinity of power lines and AD. In vitro studies confirmed that ELF-EMF exposure can influence the physiological function of nerve cells, such as the enhancement of oxidative stress[25], the receded function of neuronal ion channels and membrane receptors[26][27], the inhibition of proliferation, and the promotion of apoptosis[24]. ELF-EMF exposure can decrease the levels of neurotransmitters and related enzymes (serotonin, dopamine, gamma-aminobutyric acid, acetylcholine esterase)[28][29], and ultimately induce abnormal behavior and cognitive function disorders[14][17].

Meanwhile, various positive effects of magnetic field exposure have been reported. For example, ELF-EMF exposure (5 mT 60 min/days 12 days 50 Hz) can facilitate bone marrow stroma stem cell differentiation into neural cells[30]. ELF-EMF exposure (2 mT, 50 Hz, 1 h/days) from postnatal day 23–35 improved the spatial learning acquisition and memory retention of early adolescent male mice[31]. ELF-EMF exposure (80–150 μT, 40 Hz, 20 min/day, 5 days/week, 4 weeks) exerts positive effects on peripheral nerve regeneration[32]. ELF-EMF exposure (0.5 mT, 15 Hz, 12 h) significantly prolonged the window of opportunity for brain protection and enhanced the intensity of neuroprotection after traumatic brain injury[33]. ELF-EMF exposure (60 Hz, 0.7 mT, 21 days) improved neurological scores, enhanced neurotrophic factor levels, and reduced both oxidative damage and neuronal loss in a Huntington's disease rat model[34].

Experimental research on the association between ELF-EMF exposure and AD is rare. A single report suggested that continuous exposure of 100 μT and 50 Hz for 12 weeks had no effect on the pathogenesis of AD in aluminum-overloaded rats[12].

In previous experiments[35], we confirmed that recoverable damage of hippocampal morphology and spatial memory on rat can be induced by 400uT 50Hz 60d ELF-EMF exposure. But these damage can be partially recovered about a month after cessation of exposure. In this study, negative effect on weight gain, hippocampal neuron morphological structure, spatial learning and memory was obviously induced by both AD modeling and ELF-EMF exposure. However, the interaction between ELF-EMF and AD modeling should be received additional consideration. According to the results of multi-factor ANOVA analysis, the recovery function of ELF-EMF on extension AEL, contraction of time spent in quadrant I and content reduced of Nissl bodies on AD rats was identified.

All these suggest that ELF-EMF exposure may have opposite effects on health or sick animals. On the other hand, the reversibility of ELF-EMF damage may also contributed to their positive effects on AD rats.

4.3. The protein associated with the effect of ELF-EMF exposure on AD development

More than 100 years have passed since AD was first reported in 1906; the mechanism of AD is still unclear, and there is no effective therapy that can delay the onset or slow the progression of AD. It has been generally believed that the amyloid cascade and the abnormal posttranslational modification of Tau are the core of AD development[36]. In this study, the protein expression profile of the hippocampus in normal and AD rats were observed after ELF-EMF exposure. We found that the mechanism of ELF-EMF exposure on AD development relates to synaptic transmission, oxidative stress, protein degradation, energy metabolism, Tau aggregation, inflammation, etc. Moreover, many identified proteins have been reported to be involved in cognitive dysfunction, neurodegenerative disease, or brain injury.

For example, recent studies showed that UCH-L1 can alleviate the Aβ-induced synaptic dysfunction and memory loss in an AD model rat[37], and a lower expression of UCH-L1 was found in AD patients[38]. Furthermore, the co-localization of a novel amyloid protein, EFHD2, and pathological Tau in the brain of AD patients has been reported[39]. In addition, the interaction between Tau and TPI has been reported as follows: TPI can regulate glucose consumption, thereby inducing the intraneuronal aggregation of Tau[40], and phosphorylated Tau traps TPI and triggers the functional loss of TPI in the development of neurodegenerative diseases[41].

Oxidative stress is another familiar theory of AD development. Actually, the low expression of PRDX6 in the hippocampus, might contribute to the vulnerability of nitro-oxidative attacks in AD[42]. Under pathologic conditions, such as oxidative stress, an actin-binding and major actin depolymerization protein, CFL1, was found forming rod-like structures[43] that can mediate the loss of synapses, induce excess secretion of Aβ, and form neurofibrillary tangles, which might help to further tau modifications or assembly into paired helical filaments[44].

In addition, inflammation has been proposed to explain the plausible mechanisms of AD. Neuroinflammation is characterized by the activation of astrocytes and microglia as well as the release of proinflammatory cytokine and chemokine[45]. There have been reports that, in the brains of AD patients, the number and intensity of PRDX6+ astrocytes increased, especially around the neuritic plaques[46]. The abundant FABP+ astrocytes in the hippocampus have been frequently observed close to Ki67+ cells[47]; further studies have revealed that FABP can positively affect the proliferation of neural stem cells and negatively affect the survival of newborn neurons[48].

Otherwise, many more protein were also be thought to participate in the development of AD. For example, SNCG and SNAP-25b are both involved in regulating the structure and function of synapsis, and the mRNA expression level of SNCG increased[49] and SNAP-25b decreased[50] in AD patients. The expression of enzymes that are involved in cell metabolism, such as DUSP3 and PDHE1-B, changed in a dementia mouse model[51] and after Aβ1–42 treatment in vitro[52], respectively.

Altogether, some identified proteins in this study, such as UCH-L1, EFHD2, PRDX6, SNAP-25b, and DUSP3, may be important molecules for further investigating the mechanisms of MF exposure on the development of AD.


In conclusion, our results showed that 50 Hz and 400 μT of ELF-EMF exposure for 60 days delayed the weight gain of AD rats, and partially improved the cognitive and clinicopathologic symptoms of the animals. Furthermore, several important molecular clues were provided in the current study. Further research is necessary to understand the molecular mechanism and fully assess the potential benefit of ELF-EMF exposure. This study indicated that ELF-EMF exposure could partially delay the development of AD in rats.


We sincerely thank Dr. Peilan Zhou, Hongli Wang and Sa Zhang for their excellent technical assistance and guidance in intracerebral injection, MS analysis and ultrastructure observation respectively.

Author Contributions

Conceived and designed the experiments: HZ DW. Performed the experiments: XL. Analyzed the data: XL RP TS. Contributed reagents/materials/analysis tools: XX YG YL LZ. Wrote the paper: XL HZ SW LW. Read and approved the final manuscript: XL HZ DW RP TS SW XX YG YL SW LW LZ.


  1. 1. Extremely low frequency fields. Environmental Health Criteria, Vol. 238. Geneva, World Health Organization, 2007
  2. 2. Dong S, Duan Y, Hu Y, Zhao Z. Advances in the pathogenesis of Alzheimer's disease: a re-evaluation of amyloid cascade hypothesis. Transl Neurodegener. 2012 Sep 21;1(1):18. pmid:23210692
  3. 3. García AM, Sisternas A, Hoyos SP. Occupational exposure to extremely low frequency electric and magnetic fields and Alzheimer disease: a meta-analysis. Int J Epidemiol. 2008 Apr;37(2):329–40. Epub 2008 Feb 1. pmid:18245151
  4. 4. Hug K, Röösli M, Rapp R. Magnetic field exposure and neurodegenerative diseases—recent epidemiological studies. Soz Praventivmed. 2006;51(4):210–20. Review. pmid:17193783
  5. 5. Andel R, Crowe M, Feychting M, Pedersen NL, Fratiglioni L, Johansson B, et al. Work-related exposure to extremely low-frequency magnetic fields and dementia: results from the population-based study of dementia in Swedish twins. J Gerontol A Biol Sci Med Sci. 2010 Nov;65(11):1220–7. Epub 2010 Jul 9. pmid:20622138
  6. 6. Aydın S, Yanar K, Atukeren P, Dalo E, Sitar ME, Uslu E, et al. Comparison of oxidative stress biomarkers in renal tissues of D-galactose induced, naturally aged and young rats. Biogerontology. 2012 Jun;13(3):251–60. Epub 2011 Dec 18. pmid:22179795
  7. 7. Yin Y, Ren Y, Wu W, Wang Y, Cao M, Zhu Z, et al. Protective effects of bilobalide on Aβ(25–35) induced learning and memory impairments in male rats. Pharmacol Biochem Behav. 2013 May;106:77–84. Epub 2013 Mar 26. pmid:23537729
  8. 8. Guo LL, Deng J, Wang YL, Huang Y, Guan ZZ. [Influence of scutellarin on oxidative stress and neuronal apoptosis of rats with dementia]. Zhong Yao Cai. 2011 Feb;34(2):237–41. Chinese. pmid:21823483
  9. 9. Liu S, Wu H, Xue G, Ma X, Wu J, Qin Y, et al. Metabolic alteration of neuroactive steroids and protective effect of progesterone in Alzheimer's disease-like rats. Neural Regen Res. 2013 Oct 25;8(30):2800–10. pmid:25206601
  10. 10. Lemeshko BY, Lemeshko SB. Extending the Application of Grubbs-Type Tests in Rejecting Anomalous Measurements. Measurement Techniques, 2005(48): 536–547.
  11. 11. Vorhees CV, Williams MT. Morris water maze: procedures for assessing spatial and related forms of learning and memory. Nat Protoc. 2006;1(2):848–58. pmid:17406317
  12. 12. Zhang C, Li Y, Wang C, Lv R, Song T. Extremely low-frequency magnetic exposure appears to have no effect on pathogenesis of Alzheimer's disease in aluminum-overloaded rat. PLoS One. 2013 Aug 12;8(8):e71087. eCollection 2013. pmid:23951088
  13. 13. Balassa T, Szemerszky R, Bárdos G. Effect of short-term 50 Hz electromagnetic field exposure on the behavior of rats. Acta Physiol Hung. 2009 Dec;96(4):437–48. pmid:19942550
  14. 14. Szemerszky R, Zelena D, Barna I, Bárdos G. Stress-related endocrinological and psychopathological effects of short- and long-term 50Hz electromagnetic field exposure in rats. Brain Res Bull. 2010 Jan 15;81(1):92–9. Epub. pmid:19883742
  15. 15. Jadidi M, Firoozabadi SM, Rashidy-Pour A, Sajadi AA, Sadeghi H, Taherian AA. Acute exposure to a 50 Hz magnetic field impairs consolidation of spatial memory in rats. Neurobiol Learn Mem. 2007 Nov;88(4):387–92. Epub 2007 Sep 4. pmid:17768075
  16. 16. Foroozandeh E, Naeini MS, Ahadi H. Effects of 90min Exposure to 8mT Electromagnetic Fields on Memory in Mice. Journal of American Science 2011; 7:58–61
  17. 17. Foroozandeh E, Derakhshan-Barjoei P, Jadidi M. Toxic effects of 50 Hz electromagnetic field on memory consolidation in male and female mice. Toxicol Ind Health. 2013 Apr;29(3):293–9. Epub 2012 Mar 7. pmid:22397835
  18. 18. Guidelines for limiting exposure to time-varying electric and magnetic fields (1 Hz to 100 kHz). International Commission on Non-Ionizing Radiation Protection. Health Phys. 2010 Dec;99(6):818–36. Erratum in: Health Phys. 2011 Jan;100(1):112. pmid:21068601
  19. 19. Wertheimer N, Leeper E. Electrical wiring configurations and childhood cancer. Am J Epidemiol. 1979 Mar;109(3):273–84. pmid:453167
  20. 20. Barsam T, Monazzam MR, Haghdoost AA, Ghotbi MR, Dehghan SF. Effect of extremely low frequency electromagnetic field exposure on sleep quality in high voltage substations. Iranian J Environ Health Sci Eng. 2012 Nov 30;9(1):15. pmid:23369281
  21. 21. Huang J, Tang T, Hu G, Zheng J, Wang Y, Wang Q, et al. Association between exposure to electromagnetic fields from high voltage transmission lines and neurobehavioral function in children. PLoS One. 2013 Jul 3;8(7):e67284. Print 2013. pmid:23843999
  22. 22. Schulte PA, Burnett CA, Boeniger MF, Johnson J. Neurodegenerative diseases: occupational occurrence and potential risk factors, 1982 through 1991. Am J Public Health. 1996 Sep;86(9):1281–8. pmid:8806381
  23. 23. Håkansson N, Gustavsson P, Johansen C, Floderus B. Neurodegenerative diseases in welders and other workers exposed to high levels of magnetic fields. Epidemiology. 2003 Jul;14(4):420–6; discussion 427–8. pmid:12843765
  24. 24. Huss A, Spoerri A, Egger M, Röösli M, Swiss National Cohort Study. Residence near power lines and mortality from neurodegenerative diseases: longitudinal study of the Swiss population. Am J Epidemiol. 2009 Jan 15;169(2):167–75. Epub 2008 Nov 5. pmid:18990717
  25. 25. Morabito C, Guarnieri S, Fanò G, Mariggiò MA. Effects of acute and chronic low frequency electromagnetic field exposure on PC12 cells during neuronal differentiation. Cell Physiol Biochem. 2010;26(6):947–58. Epub 2011 Jan 4. pmid:21220925
  26. 26. He YL, Liu DD, Fang YJ, Zhan XQ, Yao JJ, Mei YA. Exposure to extremely low-frequency electromagnetic fields modulates Na+ currents in rat cerebellar granule cells through increase of AA/PGE2 and EP receptor-mediated cAMP/PKA pathway. PLoS One. 2013;8(1):e54376. Epub 2013 Jan 22. pmid:23349866
  27. 27. Piacentini R, Ripoli C, Mezzogori D, Azzena GB, Grassi C. Extremely low-frequency electromagnetic fields promote in vitro neurogenesis via upregulation of Ca(v)1-channel activity. J Cell Physiol. 2008 Apr;215(1):129–39. pmid:17941084
  28. 28. Kumar S, Jain S, Velpandian T, Petrovich Gerasimenko Y, D Avelev V, Behari J, et al. Exposure to extremely low-frequency magnetic field restores spinal cord injury-induced tonic pain and its related neurotransmitter concentration in the brain. Electromagn Biol Med. 2013 Dec;32(4):471–83. Epub 2013 May 8. pmid:23656297
  29. 29. Ravera S, Bianco B, Cugnoli C, Panfoli I, Calzia D, Morelli A, et al. Sinusoidal ELF magnetic fields affect acetylcholinesterase activity in cerebellum synaptosomal membranes. Bioelectromagnetics. 2010 May;31(4):270–6. pmid:20041436
  30. 30. Bai WF, Xu WC, Feng Y, Huang H, Li XP, Deng CY, et al. Fifty-Hertz electromagnetic fields facilitate the induction of rat bone mesenchymal stromal cells to differentiate into functional neurons. Cytotherapy. 2013 Aug;15(8):961–70. Epub 2013 Apr 17. pmid:23602580
  31. 31. Wang X, Zhao K, Wang D, Adams W, Fu Y, Sun H, et al. Effects of exposure to a 50 Hz sinusoidal magnetic field during the early adolescent period on spatial memory in mice. Bioelectromagnetics. 2013 May;34(4):275–84. Epub 2013 Jan 25. pmid:23355058
  32. 32. Suszyński K, Marcol W, Szajkowski S, Pietrucha-Dutczak M, Cieślar G, Sieroń A, et al. Variable spatial magnetic field influences peripheral nerves regeneration in rats. Electromagn Biol Med. 2014 Sep;33(3):198–205. Epub 2013 Jun 19. pmid:23781984
  33. 33. Yang Y, Li L, Wang YG, Fei Z, Zhong J, Wei LZ, et al. Acute neuroprotective effects of extremely low-frequency electromagnetic fields after traumatic brain injury in rats. Neurosci Lett. 2012 May 10;516(1):15–20. Epub 2012 Mar 19. pmid:22484017
  34. 34. Tasset I, Medina FJ, Jimena I, Agüera E, Gascón F, Feijóo M, et al. Neuroprotective effects of extremely low-frequency electromagnetic fields on a Huntington's disease rat model: effects on neurotrophic factors and neuronal density. Neuroscience. 2012 May 3;209:54–63. Epub 2012 Feb 25. pmid:22406415
  35. 35. Liu X, Zuo H, Wang D, et al. Effects of extremely low frequency electromagnetic fields exposture on cognitive function and hippocampal morphology of rats. High Voltage Engineering. 2013; (01):156–162.
  36. 36. Manczak M, Reddy PH. Abnormal interaction of oligomeric amyloid-β with phosphorylated tau: implications to synaptic dysfunction and neuronal damage. J Alzheimers Dis. 2013;36(2):285–95. pmid:23594602
  37. 37. Gong B, Cao Z, Zheng P, Vitolo OV, Liu S, Staniszewski A, et al. Ubiquitin hydrolase Uch-L1 rescues beta-amyloid-induced decreases in synaptic function and contextual me mory. Cell. 2006 Aug 25;126(4):775–88. pmid:16923396
  38. 38. Choi J, Levey AI, Weintraub ST, Rees HD, Gearing M, Chin LS, et al. Oxidative modifications and down-regulation of ubiquitin carboxyl-terminal hydrolase L1 associated with idiopathic Parkinson's and Alzheimer's diseases. J Biol Chem. 2004 Mar 26;279(13):13256–64. Epub 2004 Jan 13. pmid:14722078
  39. 39. Ferrer-Acosta Y, Rodríguez-Cruz EN, Orange F, De Jesús-Cort00E9s H, Madera B, Vaquer-Alicea J, et al. EFhd2 is a novel amyloid protein associated with pathological tau in Alzheimer's disease. 2013 Jun;125(6):921–31. Epub 2013 Feb 14. pmid:23331044
  40. 40. Tajes M, Guivernau B, Ramos-Fernández E, Bosch-Morató M, Palomer E, Guix FX, et al. The pathophysiology of triose phosphate isomerase dysfunction in Alzheimer's disease. Histol Histopathol. 2013 Jan;28(1):43–51. Review. pmid:23233058
  41. 41. Park SA, Park HW, Kim NH, Kim YH, Kwak MJ, Shin JS, et al. Effects of Tau on the activity of triose phosphate isomerase (TPI) in brain cells. Neurochem Int. 2010 Jul;56(8):886–92. Epub 2010 Mar 30. pmid:20359515
  42. 42. Goemaere J, Knoops B. Peroxiredoxin distribution in the mouse brain with emphasis on neuronal populations affected in neurodegenerative disorders. J Comp Neurol. 2012 Feb 1;520(2):258–80. pmid:21674491
  43. 43. Cichon J, Sun C, Chen B, Jiang M, Chen XA, Sun Y, et al. Cofilin aggregation blocks intracellular trafficking and induces synaptic loss in hippocampal neurons. J Biol Chem. 2012 Feb 3;287(6):3919–29. Epub 2011 Dec 19. pmid:22184127
  44. 44. Bamburg JR, Bernstein BW, Davis RC, Flynn KC, Goldsbury C, Jensen JR, et al. ADF/Cofilin-actin rods in neurodegenerative diseases. Curr Alzheimer Res. 2010 May;7(3):241–50. Review. pmid:20088812
  45. 45. Broussard GJ, Mytar J, Li RC, Klapstein GJ. The role of inflammatory processes in Alzheimer's disease. Inflammopharmacology. 2012 Jun;20(3):109–26. Epub 2012 Apr 26. Review. pmid:22535513
  46. 46. Power JH, Asad S, Chataway TK, Chegini F, Manavis J, Temlett JA, et al. Peroxiredoxin 6 in human brain: molecular forms, cellular distribution and association with Alzheimer's disease pathology. Acta Neuropathol. 2008 Jun;115(6):611–22. Epub 2008 Apr 2. pmid:18386021
  47. 47. Young JK, Heinbockel T, Gondré-Lewis MC. Astrocyte fatty acid binding protein-7 is a marker for neurogenic niches in the rat hippocampus. Hippocampus. 2013 Dec;23(12):1476–83. Epub 2013 Sep 30. pmid:23996503
  48. 48. Matsumata M, Sakayori N, Maekawa M, Owada Y, Yoshikawa T, Osumi N. The effects of Fabp7 and Fabp5 on postnatal hippocampal neurogenesis in the mouse. Stem Cells. 2012 Jul;30(7):1532–43. pmid:22581784
  49. 49. Rockenstein E, Hansen LA, Mallory M, Trojanowski JQ, Galasko D, Masliah E. Altered expression of the synuclein family mRNA in Lewy body and Alzheimer's disease. Brain Res. 2001 Sep 28;914(1–2):48–56. pmid:11578596
  50. 50. Furuya TK, Silva PN, Payão SL, Bertolucci PH, Rasmussen LT, De Labio RW, et al. Analysis of SNAP25 mRNA expression and promoter DNA methylation in brain areas of Alzheimer's Disease patients. Neuroscience. 2012 Sep 18;220:41–6. Epub 2012 Jun 23. pmid:22732502
  51. 51. Vitale M, Renzone G, Matsuda S, Scaloni A, D'Adamio L, Zambrano N. Proteomic characterization of a mouse model of familial Danish dementia. J Biomed Biotechnol. 2012;2012:728178. Epub 2012 Apr 26. pmid:22619496
  52. 52. Földi I, Datki ZL, Szabó Z, Bozsó Z, Penke B, Janáky T. Proteomic study of the toxic effect of oligomeric Aβ1–42 in situ prepared from 'iso-Aβ1–42'. J Neurochem. 2011 May;117(4):691–702. Epub 2011 Mar 28. pmid:21388376