Abstract
Neurons like other living cells may have ultraweak photon emission (UPE) during neuronal activity. This study is aimed to evaluate UPE from neural stem cells (NSC) during their serial passaging and differentiation. We also investigate whether the addition of silver nanoparticles (AgNPs) or enhancement of UPE (by AgNPs or mirror) affect the differentiation of NSC. In our method, neural stem and progenitor cells of subventricular zone (SVZ) are isolated and expanded using the neurosphere assay. The obtained dissociated cells allocated and cultivated into three groups: groups: I: cell (control), II: cell + mirror, and III: cell + AgNPs. After seven days, the primary neurospheres were counted and their mean number was obtained. Serial passages continuous up to sixth passages in the control group. Differentiation capacity of the resulting neurospheres were evaluated in vitro by immunocytochemistry techniques. Measurement of UPE was carried out by photomultiplier tube (PMT) in the following steps: at the end of primary culture, six serial cell passages of the control group, before and after of the differentiation for 5 minutes. The results show that neither mirror nor AgNPs affect on the neurosphere number. The UPE of the NSC in the sixth subculturing passage was significantly higher than in the primary passage (P < 0.05). AgNPs significantly increased the UPE of the NSC compared to the control group before and after the differentiation (P < 0.05). Also, the treatment with AgNPs increased 44% neuronal differentiation of the harvested NSCs. UPE of NSC after the differentiation was significantly lower than that before the differentiation in each groups, which is in appropriate to the cell numbers (P < 0.0001). The mirror did not significantly increase UPE, neither before nor after the differentiation of NSC. As a conclusion, NSC have UPE-properties and the intensity is increased by serial passaging that are significant in the sixth passage. The AgNPs increases the UPE intensity of NSC that pushes more differentiation of NSC to the neurons. The mirror was not effective in enhancement of UPE. As a result, UPE measurement may be suitable for assessing and studying the effects of nanoparticles in living cells and neurons.
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Introduction
Neural stem cells
Stem cells are undifferentiated cells that are able to self-renew and give rise into specified cell types. It has long been thought that the mammalian brain is an organ with very little restorative power, but there has been a lot of evidence confirming the presence of endogenous stem cells in the central nervous system1. It is believed that the subventricular zone (SVZ) of the lateral ventricle and subgranular zone (SGZ) of dentate gyrus in the hippocampus contain stem cells where adult neurogenesis occurs. SVZ, the largest neurogenic region in the brain is extended from the olfactory bulb to the crossing of the anterior commissure. The existing neural progenitor cells generate neurons, astrocytes and oligodendrocytes in vitro2,3,4. NSCs reside in a vascular microenvironment that is rich in a group of substances, including peptide growth factors, classical and peptide neurotransmitters, and biogenic amines, which are required to regulate proliferation and differentiation of neural stem cells5,6.
Ultraweak Photon Emission in Neurons
It has been evidenced that neurons like other living cells (e.g. plants, animals, and humans) have spontaneous ultraweak photon emission (UPE) through their metabolic reactions associated with physiological conditions7. The intensity of UPE varies from a few photons to several hundred photons per second per square centimeter, mainly with spectral range 200–800 nanometers8. In different scientific issues the terminology for UPE may be different such as biophotons, ultraweak emission, ultraweak bioluminescence, self-bioluminescent emission, photoluminescence, delayed luminescence, ultraweak luminescence, spontaneous chemiluminescence, ultraweak glow, biochemiluminescence, metabolic chemiluminescence, dark photobiochemistry, etc9. Since in our study the process of photon emission in the samples can be seen somehow as a weak delayed luminescence we prefer to use UPE instead the other terms. It has been shown that the origin of UPE is in direct connection with reactive oxygen species (ROS)8,10,11. The UPE intensity variations are associated with different physiological and pathological conditions, e.g. thermal, chemical and mechanical stress, mitochondrial respiratory chain, cell cycle and cancerous growth12,13. In fact, there is a direct correlation relationship between neural activity, oxidative reactions, EEG activity, cerebral blood flow, cerebral energy metabolism, and release of glutamate with UPE intensity9,14,15,16,17. Experiments demonstrated that cells can absorb UPE by photochemical processes and slowly release these photons as delayed luminescence18,19,20,21. It has been shown that the measurement of delayed luminescence emitted from the biological samples provide valid and predictive information about the functional status of biological systems22. On the other side, Popp proposed that biophotons (i.e. UPE) may present a wide variety of frequencies which originate from DNA23. He also found that biophotons are coherent and suggested that they may regulate life processes of an organism24. However, the coherence idea of UPE is under debate25,26 and it is still not clear that whether UPE is just a byproduct in biological metabolism or it has some informational or functional role.
A Brief History
In 1967, Artem’ev et al.27 reported that electric pulses can induce nerve UPE (in the visible region of EM spectrum) in frog due to chemical reactions accompanying pulses, while a killed-neuron does not show any UPE. In 1984, Imaizumi et al.28 and in 1985 Suzuki et al.29 experimentally demonstrated that increased UPE can emerge after the induction of hypoxia states in the rat brain. In 1990, Karolyi30 measured weak bioluminescence of human subjects by two different methods. In 1995, Isojima et al.14 have shown that there is a correlation between the intensity of UPE and neural metabolic activity in the rat hippocampal slice. In 1997, Zhang et al.31 revealed that the intensity of UPE from intact brains isolated from chick embryos was higher than the medium in which the brain was immersed. In 1999, Kobayashi et al.15 detected spontaneous UPE in the rat’s cortex in vivo without adding any chemical agent or employing external excitation and found that the UPE correlates with the EEG activity, cerebral blood flow and hyperoxia, and the addition of glutamate increases UPE, which is mainly originated from the energy metabolism of the inner mitochondrial respiratory chain through the production of ROS. Kataoka et al.32 detected spontaneous UPE from cultured rat cerebellar granule neurons in the visible range and demonstrated that the UPE depends on the neuronal activity and cellular metabolism. Then, an intresting experimental discovery by Sun et al.12 revealed that UPE can be conducted along the neural fibers. In 2011, Wang et al.33 presented an in vitro experimental evidence about the existence of spontaneous UPE and visible light induced UPE (delayed luminescence) from freshly isolated rat’s whole eye, lens, vitreous humor, and retina. Then, in 2014 Tang and Dai34,35 provided experimental evidence that the glutamate-induced UPE can be transmitted along the axons and in neural circuits in mouse. Their approach has been recently simulated by Simon’s group36,37 at University of Calgary that optical communication in myelinated axons is possible from physics point of view. They have shown that neurons may act as biological optical fibers and UPE may have some informational role that it may even solve some cognitive open problems like binding problem38. Also, a recent controversial experiment in 2016 is the relevance of intelligence and UPE in the brain17,39. Despite different researches on neurons, there has not been published report on UPE from neural stem cells (NSCs) so far.
The Aim of this Research
In this research, we first investigate UPE from murine NSCs and then study the UPE intensity in serial passaging. Then the effect of a mirror and nanoparticles on the increament of UPE intensity is investigated, and finally we study whether the variation of UPE intensity affects the differentiation of NSCs. Regarding the use of a mirror, we would like to see what happens if the emitted UPE is returned to the sample, i.e. Auto-optic effect40. Also, since there is growing interest regarding the use of nanoparticles (with unique physical and chemical properties) in diverse areas such as medicine (therapeutics and drug delivery), antimicrobial and anticancer agents, cosmetics, textiles, and electronics among others41,42,43,44, we also study UPE from NSCs that were exposed to silver nanoparticles (AgNPs). It has been evidenced that cells in the presence of AgNPs increased the UPE intensity and ROS production45,46. Here, we would like to investigate whether the presence of AgNPs affect the UPE intensity of NSCs.
Materials and Methods
Silver Nanoparticles (AgNPs)
AgNPs were synthesized by laser ablation from an Ag target (99.9% purity) in deionized water. The light source was an Nd:YAG pulsed laser with 1064 nm wavelength, 300 mJ energy per pulse, spot size of 3 mm2, fluence of about 10 J/cm2 and 5 ns pulse duration. The laser beam was focused normal to the target placed inside the 80 cc deionized water. The ablation proceeded for 40 min with 10 Hz repetition rate. Using inductively coupled plasma (ICP) analysis, the Ag concentration was obtained to be ≈15 ppm. Optical properties were measured in the 190–1100 nm range using a Lambda 25 spectrophotometer (Perkin Elmer). XRD was carried out using a Bruker D4 X-ray diffractometer. The Cu K (0.154 nm) X-ray line was used as the probe beam. The absorption spectrum of AgNPs (Fig. 1(a)) represents the characteristic plasmon absorption around 400 nm, characteristics of AgNPs with a beige color. Figure 1(b) shows the XRD pattern of AgNPs which indicates particles have crystalline structure. Figure 1(c) represents a typical TEM images of particles. From this image, the average particle size was estimated to be 2.4 nm.
However, instead of estimating the average NP-sizes, a proper size characterization should also be done in suspension, e.g. by using dynamic light scattering (DLS).
Animals and experimental groups
Five (5–8 weeks old) male C57-BL6 mice were obtained from Laboratory Animal Breeding Center, Shiraz University of Medical Sciences, were kept under standard conditions (12 hrs. light/12 hrs. dark, temperature 20–24 °C with free access to food and water ad libitum). All procedures performed in studies involving animals were in accordance with the ethical standards of Ethics Committee (i.e. ir.sums.rec.1394.s931) of the Shiraz University of Medical Sciences (SUMS), and the authors confirm that the experimental protocols were approved by SUMS and the above licensing committee. Isolated cells from SVZ region were cultured with complete medium and allocated into three groups (see Fig. 2): Group I: cells without any intervention as the control, Group II: cell + mirror, and Group III: cell + AgNPs, cells were incubated with 0.5 mL of AgNPs with a concentration of 5 μg/mL for 24 hours. The walls of the cube box for group II are made up of normal home mirrors.
Optimization of concentration, volume and time of incubation of AgNPs
The AgNPs were kept in a separate dark storage chamber at room temperature. The initial concentration was estimated at 4000 mg/mL which was diluted for use at different concentrations. The nanoparticles were optimized in terms of their concentration and volume, with 0.5 mL of 10 different concentrations: 5, 10, 20, 50, 100, 200, 400, 1000, 2000, and 4000 μg/mL (see Fig. 3), different volumes: 0.5, 1, 1.5 and 2 mL of nanoparticles which added to the petri dishes containing 105 cells. After 24 hours of incubation, the cell viability and UPE were measured by trypan blue and PMT, respectively. Optimal concentration depends on the highest UPE (for 5 minutes) and viability rate. In order to optimize the incubation time, 0.5 mL of AgNPs at a concentration of 5 μg/mL were added to cells at different periods of 12, 24, 36 and 48 hours. It is important to note that AgNPs in excess of 200 μg/mL usually tend to suffocate/choke the cells rather then expressing their toxic potential. In addition, perhaps mass is not a good indicator for assessing such effects and one may consider a concentration (particles/mL of a given size class) as a better parameter47. In our analysis, the viability of murine neural stem cells at 4000 μg/mL is surprisingly not zero, which is different with the previous studies on other samples.
Neurosphere assay
A neurosphere is a free-floating cluster of neural and progenitor cells in a culture system and neurosphere assay provides a technique to isolate and differentiate neural stem and progenitor cells. It is an ideal clonal assay to quantitate the frequency of NSCs in a given heterogeneous cell population. For removing the brain, the mouse is anesthetized by intra-peritoneal injection of pentobarbital (120 mg/kg) and then underwent a cervical dislocation. The brain has been removed by peeling back the skull and frees the brain, rinsed with sterilized cold PBS to remove contaminations such as blood or hair. The SVZ was carefully removed microscopically from each brain and plated in neurosphere culture as previously described48. Briefly, SVZ of the both sides was removed, minced the tissue into very small pieces. The cell suspension was transferred into a sterile centrifugation tube, digested with pre-warmed 0.05% Trypsin-EDTA (Gibco, Carlsbad, CA) and incubated for 7 min at 37 °C. To stop the enzymatic reaction, soybean trypsin inhibitor (Sigma, St. Louis, MO) was added and centrifuged at 110 g for 5 minutes. The cell pellet was resuspended in neurocult neural stem cell (STEMCELL Technologies, Vancouver, Canada) medium and mechanically dissociated into single cells by repeated pipetting. The cell suspension was spun (110 g, 5 min) subsequently to remove the supernatant. The pellet were resuspended in complete neurosphere medium supplemented with EGF (20 ng/mL; STEMCELL Technologies), bFGF (10 ng/mL; STEMCELL Technologies) and heparin (2 μg/mL; Sigma, St. Louis, MO), seeded into a 25-cm2 culture flask at a density of 5 × 105 cells/mL and incubated in a humidied incubator with 5% CO2 for 7 days. During this period, cells proliferate to form neurosphere and ready for subculturing. The number of neurospheres was counted by an inverted microscope (Olympus, Center Valley, PA, USA). The mean for the number of neurospheres compared between all groups. To evaluate the capability of the resulting neurospheres for long-term serial passage, when the neurospheres became 150–200 μm in diameter, enzymatically and mechanically were dissociated into single cells, replated in complete neurosphere medium supplemented with growth factors for 7 days. Six subculture passages were performed and their UPE measured by PMT. In order to significantly avoid the possibility of cellular electromagnetic communication we placed the culture flask into the incubator one by one or at distance.
Differentiation assay and immunocytochemistry
The neurospheres of different groups derived from passage one to three were dissociated into single cells mechanically and enzymatically and seeded onto poly-L-ornithine coated 12-well plate at a density of 5 × 104 cells/well in mouse NSC supplemented by 5% fetal calf serum (FCS) (Gibco), 20 ng/mL EGF, 10 ng/mL bFGF and 2 μg/mL heparin for 3–4 days. When the cells reach 90% confluency, the medium was replaced by the growth factor free medium containing 5% FCS. After 4 to 6 days, the cells were fixed by paraformaldehyde (PFA) 4% for 10 min at room temperature for immunostaining of neuronal and astrocyte markers. The cells were washed 3X with PBS to remove PFA, incubated overnight at 4 °C with primary antibody neuronal marker, mouse monoclonal anti–III-tubulin (1:1000)(Promega, Madison, WI, USA), and glial marker, rabbit polyclonal anti-glial fibrillary acidic protein (GFAP; 1:500) (Dako Cytomation, Carpinteria, CA, USA) in PBST (PBS + 0.1% Triton-X) supplemented with 10% normal goat serum (NGS). After three washing with PBS, the cells incubated by the secondary antibody solution containing goat anti-mouse Alexa-Fluor 488 and goat anti-rabbit Alexa-Fluor 568 (1:500, Invitrogen) in PBS-Triton supplemented with 10% NGS for 45 minutes at room temperature in dark to detect the primary antibodies and Hoechst (1: 1000) for nuclear staining. A fluorescent microscope (Olympus IX-71) equipped with a Canon EOS digital Camera (Canon, Tokyo, Japan) was utilized to capture 10–15 representative pictures, to obtain merging images using Adobe Photoshop CS4 software. In 10 fields, the values of neurons and astrocytes were counted and the mean of each was calculated as a percentage.
Viability rate
The cell sample was diluted 1: 1 (10 μl of cell suspension and 10 μl of trypan blue) with trypan blue (0.1% w/v in 0.15 M in PBS) and 10 μl of the solution obtained was poured below the slurry. Then the Neubauer chamber was placed on the microscope stage and the viable cells were counted.
Detection of UPE
Regarding the UPE measurements, the photomultiplier tube (PMT) is an extremely sensitive detector that can detect single photons, converting them to electrons to record the intensity in terms of time in the form of a graph. In our experiments we use PMT for UPE measurements. A photon counting system (Hamamatsu Photonics K.K., Electron Tube Center, Hamamatsu, Japan) was used to observe time-dependent photon emission intensity. The system is equipped with a R6095 PMT providing a maximum spectral response from 300 to 650 nm, cooled down to °C because the low power of our cooling system did not let us to cool it down more. Therefore, the numbers of counts in our experiments were low. The gate time for collecting the photon signal from the PMT was set at 1 second. The maximum detection of PMT is 420 nm with about 30% quantum efficiency in the range of 300 to 700 nm. The rise time for PMT was about 3 ns. By using an upper threshold we detected the number of counts in the dark box located in a dark room as 1 count per 5 minutes (c.p.5 min) at 1150 V, which was a relative dark count, i.e. subtracted dark current. In fact, we reduced the noise significantly by putting a threshold via PMT software to have a lower dark count. This caused a lower UPE counts for the samples, too. That is why we used the time intervals of 5 minutes to count the UPE in our study. The distance between the sample and the PMT lamp was selected at the shortest possible distance, 0.5 cm.
The PMT is connected to the G.G.104 (Parto-Tajhiz-Besat co - PTB) model counter, which is also connected to the laptop for data to be digitally visible. The specimen was located in the dark room and the electronic equipments were placed outside the dark room, so that no other light except the cell UPE could be measured by the machine (see Fig. 4). In each trial period, the medium’s emission and then the UPE of experimental groups were measured in a 5 minute period. The cells were dissociated, centrifuged and resuspended in neurocult neural stem cell medium, counted and 105 cells were transferred to 3 cm Petri dishes which placed under the lamp in the main compartment and measured for 5 minutes. Then, we kept each petri dish 10 minutes in the dark box before starting the measurement. This helps to reduce a lot the possible delayed luminescence of the Petri dishes. Basically the delayed luminescence for the Petri dishes may take for few minutes. Measurement of UPE intensity by PMT was carried out in the following steps:
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At the end of primary culture in all three groups
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Six serial cell passages in control group
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At the beginning and the end of differentiation of neural stem cells.
All experiments were repeated three times.
Statistics analysis
Data analysis was performed using one-way ANOVA as appropriate (Prism 6; Graph pad Software Inc., San Diego, CA). Results were expressed as mean ± SE and the level of significance was set at a P value of less than 0.05.
Ethical approval
All procedures performed in studies involving animals were in accordance with the ethical standards of Ethics Committee (ir.sums.rec.1394.s931), Shiraz University of Medical Sciences.
Results
Optimization of concentration, volume and time of incubation of AgNPs
In order to optimize the amount of AgNPs, various concentrations ranging from 5–4000 μg/mL, various volumes: (0.5, 1, 1.5 and 2 mL), and various time period of incubation ranging 12–48 hours tested to the petri dishes containing 105 cells. The optimum concentration, volume and incubation time of the AgNPs were 5 μg/mL, 0.5 mL and 24 hours respectively, regarding the viability rate and enhancement of UPE.
Neurosphere forming frequency
Using mirror and exposure of the cells to AgNPs has no significant impact on the efficiency of neurosphere (Fig. 5A,C).
The viability of the cells before and after the differentiation
The number of live and dead cells in all three groups was counted before and after the differentiation using trypan blue. As shown in Fig. 5B, the cell viability percentage of the cells were in control (cell) = 85%, cell + mirror = 85%, cell + AgNPs = 80% before differentiation and were in cells = 75.6%, cells + mirror = 70%, cells + AgNPs = 72%, after differentiation. No significant difference was observed between the groups. But in individual groups, there was a significant reduction in viability rate of the cells after differentiation in cell and cells + mirror groups in comparison to before differentiation. There was no significant difference of viability rate before and after differentiation in cells + AgNPs group (Fig. 5B).
UPE of NSCs in subculturing passages
The UPE intensity of the NSCs increased in serial passages in the control group, but only in the sixth subculturing passage (93 c.p.5 min) was significant in comparison to the primary passage (66 c.p.5 min) (P < 0.05). There was no significant difference between the UPE intensities of NSCs in the five serial subculturing passages (Fig. 6). It seems that the trend observed over the six subcultures reveals a pattern that is known to occur among protists49,50.
UPE intensity of NSCs before and after the differentiation
The results showed that before the differentiation, the UPE of NSCs in the cells as the control, cells + mirror and cells + AgNPs groups were significantly higher than the of background and medium (B + M) (77.67 c.p.5 min) (p < 0.0001). Moreover, the UPE of NSCs (i.e. exposed to AgNPs (178.7 c.p.5 min)) was significantly higher than of NSCs in the control group (139.7 c.p.5 min) (P < 0.05). No significant difference was observed in the UPE intensity of cells + mirror group (161 c.p.5 min) in comparison to control and AgNPs groups (Fig. 7A). Application of AgNPs in the culture of NSCs causes significantly increased UPE (116.3 c.p.5 min) relative to cell, cells + mirror (P < 0.05) and (B + M) groups after differentiation (P < 0.0001). There was no significant differences between control (83.33 c.p.5 min), cells + mirror (91.67 c.p.5 min) and (B + M) (77.67 c.p.5 min), groups (Fig. 7B). In fact, the UPE rates are low because of our subtracted dark count as well as low UPE detection at °C. This rates cannot be due to the cosmic ray noise, since cosmic rays always exist and we did not detect such rates when the detection was without samples. Comparison between the individual groups before and after the differentiation showed that the UPE intensity of cells after differentiation significantly lower than before the differentiation in each groups (P < 0.0001) (Fig. 7C).
Differentiation capability of NSCs after exposure to mirror or AgNPs
Resulting cells from all three groups expressed βIII-tubulin for the neuron, more glial fibrillay acidic protein (GFAP) for astrocyte after differentiation (Fig. 8A). Quantification of the number of astrocytes and neurons arising from treated and control cells showed that the percentage of neurons in the cells + AgNPs group (11.8%) was significantly higher than the control group (6.6%) (P < 0.0001). Moreover, the percentage of astrocytes in the cells + AgNPs group (80.2%) was significantly lower than of the control group (86.2%) (P < 0.05) (Fig. 8B).
Discussion
This study describes the first demonstration of UPE measurement of neural stem cells that increases with serial sub-culturing passages, and also showed that the UPE intensity of the neural stem cells diminishes after the differentiation and increment of UPE by AgNPs more pushes the differentiation of the neural stems to the neuron.
Neurosphere forming frequency
In this study, we investigated the effect of UPE on the neurosphere number and our results demonstrate that increasing of UPE by mirror and AgNPs have no effect on the number of neurospheres. Since exposing the cells to AgNPs and mirror took place on the 6th day, whereas the number of neurospheres have been counted a day later, it may not be a sufficient time for cellular communication and consequently formation of the neurospheres.
UPE intensity and serial passages
As previous studies indicate that as the passage number increases in a cell culture, passage-dependent effects evolve including changes in expression of growth factors, messaging pathways, cell behaviors, cumulative cell damage and total changes in phenotype and genotype of the cell line51. It has been shown that the bone growth factors are influcencing UPE52 but we did not investigate the effect of grow factors on the UPE of NSCs directly. There is no specific and precise criterion for determining the number of passages required to make the cell line subject to wide variations. This number depends on the type of cell and the characteristics of the cell line53. No studies have ever been done on the changes that have taken place after each cell passages for neural stem cells. But as a general rule, as a cell ages and getting closer to death, one of the changes that occurs is the increase of free radicals which is in direct correlation to cellular UPE54. According to the results obtained in this study, the amount of UPE radiation increased in passages 1 to 6 cells, which is only significant between the sixth passage compared to the first passage, which probably indicates cellular changes from the sixth passage in neural stem cells.
Previous studies on the effects of AgNPs on cells
Nanoparticles have very unique physical and chemical properties, which allow them to be used in numeorus areas like cosmetics, electronics, medicine, and pharmaceuticals, among them. Particle size and surface area of nanoparticles have key role in interaction of materials with biological processes55. Several studies demostrated that one of the major mechanisms for toxicity of the nanoparticles is due to the generation of oxidative mechanisms and free radicals i.e., perturbation of redox signal processes56. Perturbed or increased ROS formation could produce oxidative stress, inflammation and consequent damages to the proteins, cell membrane and DNA. It seems that size has an essential function since the smaller size is able to induce more ROS. However, nanoparticles have several beneficial properties, these also can produce serious hazard and toxic effects on cells. AgNPs are among the most widely used and investigated nanoparticles in diverse areas57 as well as in neurological researches58. For example, Kaur and Tikoo59 reported that the cytotoxicity effect of AgNPs depended on dose, surface potential of nanoparticles, and cells type in skin epithelial A431, lung epithelial A549 and murine macrophages RAW264.7 cells. Repar et al.60 examined the neurotoxicity induced by citrate-coated AgNPs (AgSCs) in neurons and astrocytes originated from human embryonic stem cells. When neurons and astrocytes were exposed to 0.1 μg/mL of AgSCs the astrocyte/neuron ratio is increased and helped astrogenesis, but 5.0 μg/mL of AgSCs significantly changed the morphology of astrocytes. In addition, AgSCs and AgNO3 produced different neuronal toxicity mechanisms. Furthermore, most of these effects were decreased when the cell culture was co-treated with AgSCs and the ascorbic acid, which suggest oxidative (redox) stress is the most important root of AgSC-produced astrocytic/neuronal toxicity and that antioxidants may present a neuroprotective outcome. Xu et al.61 studied AgNPs (20 nm) at various concentrations (1, 5, 10 and 50 μg/mL) on primary rat cortical cell cultures. They revealed that 1–50 μg/mL of AgNPs induced neuronal toxicity, degraded cytoskeleton components, perturbed pre- and postsynaptic proteins and mitochondrial processes that led to cell death. The fetus and neonates are particularly sensitive to the cytotoxicity. AgNPs perturbed early neuronal processes and increased neuron apoptosis through cellular oxidative stress and mitochondrial disruption in in vitro neural stem cells (NSCs) from fetal rat hippocampus62. Austin et al.63 investigated the effect of silver on pregnant mice and fetuses after intravenous injections of 10 nm AgNPs or soluble silver nitrate (AgNO3) that they found a remarkable silver accumulation in maternal liver, spleen and visceral yolk sac (VYS), which may have harmful effect on embryonic growth but insignificant in fetuses. In fact, despite beneficial effects and potential applications of nanoparticles such as stimulation of neuronal cell proliferation, axonal growth, neuronal cell adhesion, neuroprotection, and differentiation of stem cells into neuronal cells, they also have seversl harmful effects58 such as cytotoxic effects mainly via unregulated redox processes57,58. Perhaps, investigation of UPE from neural cells be a possible method elucidating the effets of various nanoparticles in neural cells.
Ag nanoparticles, UPE intensity and cell viability
Present investigation showed that increased concentration of the AgNPs lead to reduced viability rate and UPE, suggested toxicity of AgNPs at high concentration for NSCs, which is in agreement with previous studies63,64,65. The present study also shows that the incubation of NSCs with AgNPs leads to 21.8% 28.3% increase in UPE intensity relative to the control group and 9.9% 21.2% to cells + mirror group, before and after differentiation, respectively. These findings are similar to those of previous reports in which AgNPs could rise the UPE intensity45,46. One of the more acceptable opinions about the source of UPE production is free radicals, mentioned as reactive oxygen species (ROS) and reactive nitrogen species (RNS)66,67. These species act as messenger molecules in the brain and are essential for messaging processes such as the release of neurotransmitters and the formation of memory68,69,70,71. Free radicals react sequentially with lipids or proteins and produce electron-excited species72. AgNPs play a role in stimulating UPE production through single oxygen production and another phenomenon called intrinsic fluorescence of the cell. It seems that metallic nanoparticle somehow transmits energy to adjacent molecules to make them excited45,73, depending on the time of being in the vicinity of cells, the type of cells, the radiation level and the size of nanoparticles74. Also, it would be interesting to identify a threshold emission level by which AgNPs induce autoluminescence, or how can a memory effect be induced once a “tolerable” threshold concentration of AgNPs has been exceeded by which the emissions no longer go back to background levels75. In addition, in order to understand the various pathways on how naoparticles interact with cells, see the reference76. In our research we have particularly used AgNPs while other nanoparticles can be investigated too, for example CuO-NPs are far more interesting in terms of toxicity, or the most widespread NPs are those using TiO2, and the most prominent candidate in terms of neuro-toxicity are Al-compounds that comodulate neurodegenerative diseases77. As a future prospect, it can be studied too whether our research can be connected to chronic atmospheric NP-exposure and translocation of ambient NPs via the BBB or the olfactory pathway directly into the brain78 along with the associated neuro-degenerative effects79? In theory such effects must also have an impact on the epigenome of NSCs80.
Mirror and the auto-optic effect on cells
Mirrors act as reflectors of light. So far, there has no been a strict research on the effect of mirrors on UPE intensity. Petrash et al.40 measured spectrometrically the “emission” from the water and blood samples with different configuration of mirrors around the samples. Their results showed that the application of the mirror lead to more “emission” comparing with the control group without mirror. In our method, we intended to see if UPEs are shifted back to the sample by mirror81. Using the various materials as reflectors including gold, pure silver, and aluminum, it is expected that the most part of biophotn emission can be reflected toward the sample and this may play a role in enhancement of the UPE intensity. By using a small box made up of normal home mirrors, our results indicate that mirror slightly enhances the UPE intensity in the cells + mirror group, but it is not significant with regard to the control. The cause of this phenomenon may be related to the duration time and the nature of the mirror.
UPE irradiation and differentiation
The intrinsic potential of NSC is differentiation into neuron and glial cells82. This process is regulated by genes and messenger paths. The PI3K/Akt messenger pathway plays an important role in the self-neuronal and neuronal activity of the neural stem cells located in the brain. It is possible that mitochondrial and ROS generation processes have key roles in AgNPs-induced neuronal differentiation achieved by the PI3K/Akt messenger pathway83, and the areas containing these cells have high levels of ROS84. Samberg et al.85 demonstrated that exposition of human adipose-derived stem cell to 10- and 20-nm AgNPs did not influence stem cell differentiation and did not produce significant cytotoxicity. However, here we observed a different result for differentiaion of NSC. Additionally, there is always the perception that active oxygen species have toxic effects on cells, but recent studies have shown that these species act as a second messenger86 during normal cellular processes. These species also influence the formation of neurospheres and differentiation of neural stem cells, so adding H2O2 to the cell, in addition to creating more neurospheres than the normal and similar, causes more differentiation of these cells into neurons87. On one hand, reactive species are a source of UPE production, and on the other hand the production of UPE can bring adjacent fluorophore molecules to the excited level and add to the number of these reactive species. Based on the results of the differentiation, in which the ratio of differentiation to the neuron is proportional to the increase in UPE, it can be analyzed that reactive oxygen species and UPEs are generated in each of the messaging paths that are in sync with each other. And these two are in a two-way relationship.
Conclusion
In this paper, we have investigated the ultraweak photon emission from neural stem cells. We have observed that the intensity of UPE increased by serial passaging with significant enhancement on the sixth passage. The UPE intensity of stem cells after the differentiation were significantly lower than before the differentiation in each groups, which appropriated with the cell numbers. Then we studied whether the separate applications of mirror and AgNPs affect the UPE intensity and differentiation of stem cells. As a result, AgNPs significantly increased the UPE of the cells (compared to the control group) before and after the differentiation, but the effect of mirror was trivial on the UPE intensity before and after the differentiation. However, our results show that neither mirror nor AgNPs affect the neurosphere number, but treatment with AgNPs increased 44% neuronal differentiation of the harvested neural stem cells. Our results suggest that UPE measurement may be suitable for assessing and studying the effects of nanoparticles in living cells and neurons.
References
Miller, R. H. The promise of stem cells for neural repair. Brain Research 1091(1), 258–64 (2006).
Reynolds, B. A. & Weiss, S. Generation of neurons and astrocytes from isolated cells of the adult mammalian central nervous system. Science 255(5052), 1707–10 (1992).
Hirota, Y. & Sawamoto, K. Neurogenesis in the adult subventricular zone. Tanpakushitsu kakusan koso. Protein, nucleic acid, enzyme 53(7), 863–9 (2008).
Ghanbari, A. et al. Depletion of neural stem cells from the subventricular zone of adult mouse brain using cytosine bArabinofuranoside. Brain and Behavior 5(11), e00404 (2015).
Kazanis, I., Lathia, J. & Moss, L. The neural stem cell microenvironment. (2008).
Morshead, C. M., Craig, C. G. & van der Kooy, D. In vivo clonal analyses reveal the properties of endogenous neural stem cell proliferation in the adult mammalian forebrain. Development 25(12), 2251–61 (1998).
Salari, V. et al. Phosphenes, retinal discrete dark noise, negative afterimages and retinogeniculate projections: A new explanatory framework based on endogenous ocular luminescence. Prog. Ret. Eye Res 60, 101–119 (2017).
Cifra, M. & Pospisil, P. Ultra-weak photon emission from biological samples: definition, mechanisms, properties, detection and applications. J. Photochem. Photobiol. B. Biol 139, 2–10 (2014).
Salari, V., Valian, H., Bassereh, H., Bókkon, I. & Barkhordari, A. Ultraweak photon emission in the brain. J. Integ. Neuros 14(03), 419–429 (2015).
Fels, D. Cellular communication through light. PLoS One 4(4), e5086 (2009).
Pospisil, P., Prasad, A. & Rac, M. Role of reactive oxygen species in ultra-weak photon emission in biological systems. Journal of Photochemistry and Photobiology B: Biology 139, 11–23 (2014).
Sun, Y., Wang, C. & Dai, J. Biophotons as neural communication signals demonstrated by in situ biophoton autography. Photochemical & Photobiological Sciences 9(3), 315–22 (2010).
Madl, P., Geppert, M., Verwanger, T. & Scholkmann, F. Oscillation of ultra-weak photon emission from cancer and non-cancer cells stressed by culture medium change and TNF-a: a dose dependence. Scientific Reports 7, 11249 (2016).
Isojima, Y., Isoshima, T., Nagai, K., Kikuchi, K. & Nakagawa, H. Ultraweak biochemiluminescence detected from rat hippocampal slices. Neuroreport 6, 658–660 (1995).
Kobayashi, M. et al. In vivo imaging of spontaneous ultraweak photon emission from a rat’s brain correlated with cerebral energy metabolism and oxidative stress. Neurosci. Res. 34, 103–113 (1999).
Salari, V., Scholkmann, F., Bókkon, I., Shahbazi, F. & Tuszynski, J. The physical mechanism for retinal discrete dark noise: thermal activation or cellular ultraweak photon emission? PLoS One 11(3), e0148336 (2016).
Salari, V., Bókkon, I., Ghobadi, R., Scholkmann, F. & Tuszynski, J. A. Relationship between intelligence and spectral characteristics of brain biophoton emission: Correlation does not automatically imply causation. P. Nat. Acad. Sci. 113(38), E5540–E5541 (2016).
Niggli, H. J. et al. Laser-ultraviolet-A induced ultra weak photon emission in human skin cells: A biophotonic comparison between keratinocytes and fibroblasts. Indian J Exp Biol 46(5), 358–63 (2008).
Niggli, H. J. et al. Laser-ultraviolet-A-induced ultraweak photon emission in mammalian cells. J Biomed Optics 10(2), 024006-1 (2005).
Musumeci, F. et al. Discrimination between normal and cancer cells by using analysis of delayed luminescence. Applied Physics Letters 86, 153902-1 (2005).
van Wijk, R. & van Aken, H. Light-induced photon emission by rat hepatocytes and hepatoma cells. Cell Biophys. 18(1), 15–29 (1991).
Scordino, A. et al. Ultra-weak delayed luminescence in cancer research: a review of the results by the ARETUSA equipment. J Photochem Photobiol B 5(139), 76–84 (2014).
Popp, F. A. et al. Biophoton emission. New evidence for coherence and DNA as source. Cell Biophys. 6, 33–51 (1984).
Popp, F. A., Li, K. H., Mei, W. P., Galle, M. & Neurohr, R. Physical aspects of biophotons. Experientia 44, 576–585 (1988).
Salari, V. & Brouder, C. Comment on Delayed luminescence of biological systems in terms of coherent states. Phys Lett A 375(25), 2531–2532 (2011).
Cifra, M., Brouder, C., Nerudova, M. & Kucera, O. Biophotons, coherence and photocount statistics: A critical review. Journal of Luminescence 164, 38–51 (2015).
Artem’ev, V. V., Goldobin, A. S. & Gus’kov, L. N. Recording of light emission from a nerve. Biofizika 12, 1111–1113 (1967).
Imaizumi, S., Kayama, T. & Suzuki, J. Chemiluminescence in hypoxic brain? The first report. correlation between energy metabolism and free radical reaction. Stroke 15, 1061–1065 (1984).
Suzuki, J., Imaizumi, S., Kayama, T. & Yoshimoto, T. Chemiluminescence in hypoxic brain? the second report: Cerebral protective effect of mannitol, vitamin E and glucocorticoid. Stroke 16, 695–700 (1985).
Karolyi, G. Determination of bioluminescence from human subjects by two different methods. Medical and Biological Engineering and Computing 28, 77–84 (1990).
Zhang, J., Yu, W., Sun, T. & Popp, F. A. Spontaneous and light-induced photon emission from intact brains of chick embryos. Sci. China C Life Sci. 40, 43–51 (1997).
Kataoka, Y. et al. Activity-dependent neural tissue oxidation emits intrinsic ultraweak photons. Biochem. Biophys. Res. Commun. 285, 1007–1011 (2001).
Wang, C., Bokkon, I., Dai, J. & Antal, I. Spontaneous and visible light-induced ultraweak photon emission from rat eyes. Brain Res. 1369, 1–9 (2011).
Tang, R. & Dai, J. Biophoton signal transmission and processing in the brain. J. Photochem. Photobiol. B 139, 71–75 (2014).
Tang, R. & Dai, J. Spatiotemporal imaging of glutamate-induced biophotonic activities and transmission in neural circuits. PLoS One 9, e85643 (2014).
Kumar, S., Boone, K., Tuszynski, J., Barclay, P. & Simon, C. Possible existence of optical communication channels in the brain. Scientific Reports 6, 36508 (2016).
Zarkeshian, P., Kumar, S., Tuszynski, J., Barclay, P. & Simon, C. Are there optical communication channels in the brain? Frontiers in Bioscience 23, 1407–1421 (2018).
Simon, C. Can Quantum Physics Help Solve the Hard Problem of Consciousness? J. Consciousness Studies 26(5–6), 204–218 (2019).
Wang, Z., Wang, N., Li, Z., Xiao, F. & Dai, J. Human high intelligence is involved in spectral redshift of biophotonic activities in the brain. P. Nat. Acad. Sci 113(31), 8753–8758 (2016).
Petrash, V. et al. (editors). Autooptic Effect. Doklady Biochemistry and Biophysics 396(1–6), 174–176 (2004).
Liu, F. et al. Effects of silver nanoparticles on human and rat embryonic neural stem cells. Front Neurosci 8(9), 115 (2015).
Cooper, R. J. & Spitzer, N. Silver nanoparticles at sublethal concentrations disrupt cytoskeleton and neurite dynamics in cultured adult neural stem cells. Neurotoxicology 48, 231–8 (2015).
Dayem, A. A. et al. Biologically synthesized silver nanoparticles induce neuronal differentiation of SH-SY5Y cells via modulation of reactive oxygen species, phosphatases, and kinase signaling pathways. Biotechnol J. 9(7), 934–43 (2014).
Burdusel, A. C. et al. Applications of Silver Nanoparticles: An Up-to-DateOverview. Nanomaterials 31, 8(9) (2018).
Hossu, M., Ma, L. & Chen, W. Nonlinear enhancement of spontaneous biophoton emission of sweet potato by silver nanoparticles. J. Photochemistry and Photobiology B: Biology 99(1), 44–8 (2010).
Hossu, M., Ma, L., Zou, X. & Chen, W. Enhancement of biophoton emission of prostate cancer cells by Ag nanoparticles. Cancer Nanotechnology 4(1-3), 21–6 (2013).
Oberdorster, G., Stone, V. & Donaldson, K. Toxicology of nanoparticles: A historical perspective. Nanotoxicology 1(1), 2–25 (2007).
Azari, H., Rahman, M., Sharififar, S. & Reynolds, B. A. Isolation and expansion of the adult mouse neural stem cells using the neurosphere assay. Journal of visualized experiments 20(45), e2393 (2010).
Galle, M., Neurohr, R., Altmann, G., Popp, F. A. & Nagl, W. Biophoton emission from Daphnia magna: A possible factor in the self-regulation of swarming. Experientia 47, 457–460 (1991).
Galle, M. Population density-dependence of biophoton emission from Daphnia; Ch.14; in Popp, F. A., Li, K. H. & Gu, Q. (eds) Recent Advances in Biophoton Research and Its Applications, World Scientific Publishing, Singapore (1992).
Jin, W., Penington, C. J., McCue, S. W. & Simpson, M. J. A computational modelling framework to quantify the effects of passaging cell lines. PLoS One 12(7), e0181941 (2017).
Niggli, H. J., Scaletta, C., Yu, Y., Popp, F. A. & Applegate, L. A. Ultraweak photon emission in assessing bone growth factor efficiency using fibroblastic differentiation. Photochem. Photobiol. B 64, 62–68 (2001).
Chang-Liu, C. M. & Woloschak, G. E. Effect of passage number on cellular response to DNA-damaging agents: cell survival and gene expression. Cancer Letters 113(1), 77–86 (1997).
Cheun, B. et al. Biophoton emission of MDCK cell with hydrogen peroxide and 60 Hz AC magnetic field. Journal of Environmental Biology 28(4), 735–40 (2007).
Gatoo, M. A. et al. Physicochemical properties of nanomaterials: implication in associated toxic manifestations. Biomed Res Int. 498420 (2014).
Khalili Fard, J., Jafari, S. & Eghbal, M. A. A Review of Molecular Mechanisms Involved in Toxicity of Nanoparticles. Adv Pharm Bull 5(4), 447–54 (2015).
Calderon-Jimenez, B. et al. Silver Nanoparticles: Technological Advances, Societal Impacts, and Metrological Challenges. Front Chem. 21(5), 6 (2017).
Khan, F. A., Almohazey, D., Alomari, M. & Almofty, S. A. Impact of nanoparticles on neuron biology: current research trends. Int J Nanomedicine 913, 2767–2776 (2018).
Kaur, J. & Tikoo, K. Evaluating cell specific cytotoxicity of differentially charged silver nanoparticles. Food Chem Toxicol 51, 1–14 (2013).
Repar, N. et al. Silver nanoparticles induce neurotoxicity in a human embryonic stem cell-derived neuron and astrocyte network. Nanotoxicology 12(2), 104–116 (2018).
Xu, F., Piett, C., Farkas, S., Qazzaz, M. & Syed, N. I. Silver nanoparticles (AgNPs) cause degeneration of cytoskeleton and disrupt synaptic machinery of cultured cortical neurons. Mol Brain 196, 29 (2013).
Guo, X. et al. Newborn Neurons Are Damaged In Vitro by a Low Concentration of Silver Nanoparticles Through the Inflammatory Oxidative Stress Pathway. DNA Cell Biol. 36(12), 1062–1070 (2017).
Austin, C. A. et al. Distribution and accumulation of 10 nm silver nanoparticles in maternal tissues and visceral yolk sac of pregnant mice, and a potential effect on embryo growth. Nanotoxicology 10(6), 654–61 (2016).
El Badawy, A. M. et al. Surface charge-dependent toxicity of silver nanoparticles. Environmental Science & Technology 45(1), 283–7 (2010).
Nowack, B. Nanosilver revisited downstream. Science 330(6007), 1054–5 (2010).
Tuszyski, J. & Dixon, J. Quantitative analysis of the frequency spectrum of the radiation emitted by cytochrome oxidase enzymes. Phys. Rev. E. 64(5), 051915 (2001).
Watts, B. P., Barnard, M. & Turrens, J. F. Peroxynitrite-dependent chemiluminescence of amino acids, proteins, and intact cells. Archives of Biochemistry and Biophysics 317(2), 324–30 (1995).
Volterra, A., Trotti, D., Tromba, C., Floridi, S. & Racagni, G. Glutamate uptake inhibition by oxygen free radicals in rat cortical astrocytes. Journal of Neuroscience 14(5), 2924–32 (1994).
Tejada-Simon et al. Synaptic localization of a functional NADPH oxidase in the mouse hippocampus. Molecular and Cellular Neuroscience 29(1), 97–106 (2005).
Kishida, K. T. & Klann, E. Sources and targets of reactive oxygen species in synaptic plasticity and memory. Antioxidants & Redox Signaling 9(2), 233–44 (2007).
Knapp, L. T. & Klann, E. Role of reactive oxygen species in hippocampal longterm potentiation: Contributory or inhibitory? Journal of Neuroscience Research 70(1), 1–7 (2002).
Kobayashi, M., Kikuchi, D. & Okamura, H. Imaging of ultraweak spontaneous photon emission from human body displaying diurnal rhythm. PLoS One. 4(7), e6256 (2009).
Rastogi, A. & Pospssil, P. Ultraweak photon emission as a noninvasive tool for monitoring of oxidative processes in the epidermal cells of human skin: comparative study on the dorsal and the palm side of the hand. Skin Research and Technology 16(3), 365–70 (2010).
Villablanca, M. & Cilento, G. Enzymatic generation of electronically excited states by electron transfer. Photochemistry and Photobiology 42(5), 591–597 (1985).
Roschger, P. & Klima, H. Untersuchungen von NOx-Schaedigung an Wasserlinsen mit Hilfe der ultraschwachen Photonenemisison. Atomic Institute, University of Vienna, AIAU-Report No. 85501 (1985).
Auffan, M. et al. Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective. Nat Nanotechnol 10, 634–641 (2009).
Exley, C. & House, E. R. Aluminium in the human brain. Monatsh. Chem. 142, 357–363 (2011).
Iliff, J. J. et al. A Paravascular Pathway Facilitates CSF Flow Through the Brain Parenchyma and the Clearance of Interstitial Solutes, Including Amyloid. Science Translational Medicine 4147, 111 (2012).
Buoli, M. et al. Is there a link between air pollution and mental disorders? Environment International 118, 154–168 (2018).
Madl, P. Exposure to Nano-Sized Particles and the Emergence of Contemporary Diseases with a Focus on Epigenetics, Ch.14. In: Khare, M. (ed.) Air Pollution - Monitoring, Modelling, Health and Control. InTech Publ. Croatia (2012).
Thieme, H., Mehrholz, J., Pohl, M., Behrens, J. & Dohle, C. Mirror therapy for improving motor function after stroke. Stroke 44(1), e1–e2 (2013).
Bond, A. M., Ming, G. L. & Song, H. Adult Mammalian Neural Stem Cells and Neurogenesis: Five Decades Later. Cell Stem Cell 17(4), 385–395 (2015).
Abdal, D. A., Lee, S. B., Choi, H. Y. & Cho, S. G. Silver Nanoparticles: Two-Faced Neuronal Differentiation-Inducing Material in Neuroblastoma (SH-SY5Y) Cells. Int J Mol Sci. 15(5) (2018).
Kageyama, R., Ohtsuka, T., Hatakeyama, J. & Ohsawa, R. Roles of bHLH genes in neural stem cell differentiation. Experimental Cell Research 306(2), 343–348 (2005).
Samberg, M. F., Loboa, E. G., Oldenburg, S. J. & Monteiro-Riviere, N. A. Silver nanoparticles do not influence stem cell diferentiation but cause minimal toxicity. Nanomedicine 7(8), 1197–1209 (2012).
Bókkon, I. Recognition of functional roles of free radicals. Curr Neuropharmacol. 10(4), 287–288 (2012).
Le Belle, J. E. et al. Proliferative neural stem cells have high endogenous ROS levels that regulate self-renewal and neurogenesis in a PI3K/Akt-dependant manner. Cell Stem Cell 8(1), 59–71 (2011).
Acknowledgements
This work was supported by grant No. 94-01-01-10157 from Shiraz University of Medical Sciences, Shiraz, Iran. This article was a part of the thesis written by Esmaeil Fereydoni, MSc. student of Anatomy.
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T.E. and E.F. have proposed the idea and consulted it with V.S. and E.F. performed the experiments, T.E., E.F., F.D. and M.R.P. contributed to the development and completion of the idea, E.F. and M.R. prepared and analyzed the Ag nanoparticles, T.E., E.F. and F.D. analyzed the results, T.E., E.F., F.D., M.R.P., I.B., N.C.N., M.R. and V.S. participated in discussions and T.E., E.F., I.B. and V.S. wrote the manuscript.
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Esmaeilpour, T., Fereydouni, E., Dehghani, F. et al. An Experimental Investigation of Ultraweak Photon Emission from Adult Murine Neural Stem Cells. Sci Rep 10, 463 (2020). https://doi.org/10.1038/s41598-019-57352-4
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DOI: https://doi.org/10.1038/s41598-019-57352-4
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