Abstract
Objectives
To investigate behaviour and expression of transforming growth factor‐β (TGF‐β) and matrix metalloproteinases (MMP‐9) in murine photoreceptor‐derived cells (661W) after incubation with zinc oxide (ZnO) nanoparticles.
Materials and methods
We explored effects of ZnO nanoparticles on 661W cells using a real‐time cell electronic sensing system, flow cytometry, multiple function microplate reading, real‐time quantitative PCR detection system and enzyme‐linked immunosorbent assay respectively.
Results
Our results indicate that ZnO nanoparticles induced overload of calcium and reactive oxygen species within cells, causing formation of apoptotic bodies, disruption of cell cycle distribution, and reduction in expression of TGF‐β and MMP‐9, to suppress cell proliferation and migration. Our findings show that disruption of intracellular calcium homoeostasis and overproduction of reactive oxygen species were closely associated with reduction of TGF‐β and MMP‐9 in 661W cells under ZnO nanoparticle treatment.
Conclusions
Results of our study indicate that ZnO nanoparticles suppressed cell proliferation and migration, and reduced production of TGF‐β and MMP‐9 at both gene and protein levels. Our findings contribute to the understanding of the molecular mechanisms that reduced TGF‐β and MMP‐9 levels inhibit cell proliferation and migration under ZnO nanoparticle influence.
Introduction
Retinal degenerative diseases such as retinitis pigmentosa and age‐related macular degeneration, concern loss of photoreceptor cells causing visual loss and possibly eventual blindness. Types of retinal degeneration are progressive disorders initiated by photoreceptor stress and can be accelerated by photoreceptor death 1. Up to now, photoreceptor cell death has usually been regarded to be the common pathway for degeneration of retinal receptors, induced by a variety of factors (for example, heredity or light) 2, 3. However, precise causes have remained unclear.
Photoreceptor cell death involves multiple signalling pathways. It has been reported that cytochrome P450 2C genes play a direct causative role in their photochemical stress‐induced death 4; meanwhile, receptor interacting protein kinase‐mediated necrosis and tumour necrosis factor‐induced cell necrosis strongly contribute to photoreceptor degeneration in interphotoreceptor retinoid‐binding protein (−/−) mice 5. Furthermore, the caspase‐independent pathway 6, tumour necrosis factor‐α signalling pathway, receptor interacting protein kinase pathway 7 and Fas ligand–Fas signalling pathway 8 have also been shown to be involved in photoreceptor cell death under different stress conditions. Nevertheless, the detailed mechanisms still need to be addressed.
Cell proliferation results in an increment in cell number as a result of cell population growth, cell division, and cell migration being fundamental to organization and maintenance of tissue integrity. Thus, both cell proliferation and migration play crucial roles in embryonic development, wound healing, inflammation and invasiveness through the extracellular matrix 9, and cell migration critically depends on calcium ion (Ca2+) channel‐mediated Ca2+ influx 10. As a fundamental secondary intracellular signalling molecule, Ca2+ regulates essential cellular functions in various cell types via Ca2+‐dependent signalling pathways. However, overload of intracellular calcium ions causes intracellular calcium dysfunction and increase in oxidative stress 11, 12, 13, which further mediate a variety of physiological and pathological functions. Reactive oxygen species (ROS) are produced as by‐products of cell metabolism; they are mainly generated in mitochondria. Normally, ROS levels remain at low levels within cells. Nevertheless, when cell production of ROS overwhelms its antioxidant capacity, they damage cell macromolecules such as lipids, proteins and DNA 14. Moreover, ROS can also modulate various biological functions through stimulating transduction signals 15, including cell apoptosis 16 and cell migration 17, 18. Nevertheless, relationships between changes in intracellular [Ca2+] and ROS, migration and proliferation are not yet clear.
Transforming growth factor‐β (TGF‐β) plays an important role in many cell processes, including adhesion, proliferation, migration, differentiation and cell cycle arrest 19. TGF‐β is a multifunctional growth factor that can either stimulate or inhibit cell proliferation, mainly depending on cell type and culture conditions 20. Matrix metalloproteinases (MMPs) compose a large family of calcium‐dependent and zinc‐containing endopeptidases. They play a crucial role in turnover of extracellular matrix, and function in physiological and pathological processes involved in tissue remodelling. This includes degradation of the extracellular matrix, including collagens, elastins, gelatin, matrix glycoproteins and proteoglycan 21, 22. Matrix metalloproteinase‐9 (MMP‐9), a major component of the basement membrane, is a key enzyme associated with degradation of type IV collagen. MMP‐9 can cleave many different targets (for example, extracellular matrix, cytokines, growth factors, chemokines and cytokine/growth factor receptors) that in turn regulate key signalling pathways in cell growth, migration, invasion, inflammation and angiogenesis 23, 24. Thus, both TGF‐β and MMP‐9 are closely associated with cell proliferation and migration in physiological and pathological processes.
Nanoparticles are a type of microscopic particle with at least one dimension less than 100 nm. Due to their unique physical and chemical properties (surface effect and small scale effect), nanoparticles have been widely applied in construction of piezoelectric devices, synthesis of pigments, chemical sensors and more. Zinc oxide (ZnO) nanoparticles have also received much attention due to their biological applications, pharmaceutical and biomedical potentials. It has been reported that ZnO nanoparticles have anti‐diabetes benefits 25, anti‐bacterial effects 26 and anti‐cancer roles 27, 28. Meanwhile, analysis of cytotoxic consequences indicate that ZnO nanoparticles can also damage normal cells, such as macrophages 29, retinal ganglion cells 30 and lens epithelial cells 31. These types of damage are involved in phosphatidylinositol 3‐kinase (PI3K)‐mediated mitogen‐activated protein kinase (MAPK) pathway, bcl‐2, caspase‐9 and caspase‐12 signalling as well as calcium‐dependent signalling pathways. Considering the biomedical applications of ZnO nanoparticles and their potential hazard to organisms, in the present study, we investigated effects of ZnO nanoparticles on photoreceptor cells.
As a parenchymal cell, photoreceptors are very susceptible to alterations in the external microenvironment. To explore whether ZnO nanoparticles influence intracellular calcium and ROS, TGF‐β and MMP‐9 and consequences to photoreceptor cell migration and proliferation, in this study, we used 661W cells, a murine photoreceptor‐derived cell line transformed by SV40, to investigate effects of various concentrations of ZnO nanoparticles on cell proliferation and migration. We also assessed underlying alterations in intracellular Ca2+, ROS, cell nuclei and cell cycle distribution after treatment with various concentrations of ZnO nanoparticles. We report here that ZnO nanoparticles inhibited murine photoreceptor‐derived cell proliferation and migration via reducing TGF‐β and MMP‐9 expression.
Materials and methods
Characterization of ZnO nanoparticles
Zinc oxide nanoparticles (ZP6) capped with aminopolysiloxane were characterized using transmission electron microscopy (HT7700; Hitachi, Tokyo, Japan).
Preparation of ZnO nanoparticle stock solution
Zinc oxide nanoparticles were dispersed in Dulbecco's modified Eagle's medium (DMEM; Life Technologies, Gaithersburg, MD, USA) containing 1.0 g/l glucose, 10% foetal bovine serum (HyClone, Logan, UT, USA), and final concentration of ZnO nanoparticle stock solution was 1.0 mg/mL. Prior to experimentation, stock solution was sonicated in a water‐ice bath using an ultrasonic cell crusher (Bilon92‐IIDL, Xian, China) at 30 kHz for 20 min, to obtain a uniform colloidal suspension, then diluted with DMEM to the indicated concentrations.
Cell culture
Murine photoreceptor‐derived cell line 661W, was kindly provided by Dr. Muayyad R. Al‐Ubaidi (University of Oklahoma Health Sciences Center, USA). 661W cells were maintained in DMEM supplemented with 10% foetal bovine serum (HyClone), 1.0 g/l glucose, 100 U/ml penicillin and 100 μg/ml streptomycin. All cells were cultured at 37 °C in a water‐saturated air incubator with 5% CO2 and cell counting was performed using an automated cell counter (TC10; Bio‐Rad, Hercules, CA, USA).
In vitro cell proliferation
To explore effects of different concentrations of ZnO nanoparticles on 661W cell proliferation in vitro, real‐time cell electronic sensing (RT‐CES) assay was performed. RT‐CES technology provides dynamic information concerning the target cells after treatment with chemicals, which allows for their non‐invasive monitoring by means of impedance sensor technology. RT‐CES is also a valuable, sensitive and reliable technology, which can monitor the cellular events by determining changes of electrical impedance between micro‐electrodes integrated into the bottom of custom made tissue culture plates (E‐plates) 32, 33, in real‐time. In this study, RT‐CES (ACEA Biosciences Inc., Hangzhou, China) was used to determine interactions between 661W cells and different concentrations of ZnO nanoparticles. In brief, 6000 cells were seeded into each well of the E‐plate and cultured overnight. Then they were treated with a range of concentrations (0, 2.5, 5.0 and 10.0 μg/ml) of ZnO nanoparticles and further cultured for an additional 72 h. Data on cell proliferation after treatment with ZnO nanoparticles were expressed as normalized cell index.
In vitro cell migration
To investigate migratory effects of different concentrations of ZnO nanoparticles on 661W cell migration in vitro, first, the cells were pre‐treated with the concentrations (0, 2.5, 5.0 and 10.0 μg/ml) of ZnO nanoparticles at 37 °C for 1 h (1.0 × 104 cells per well) and resuspended in serum‐free DMEM and placed in the upper chamber of CIM‐Plate 16 (ACEA Biosciences (Hangzhou) Inc., China). As chemoattractant, the lower chamber contained 165 μl total ingredient medium (containing 10% foetal bovine serum). In contrast, untreated cells were also seeded in serum‐free DMEM in both lower and upper chambers, as a negative control. Subsequently, data acquisition was initiated immediately and was maintained at 37 °C for 14 h when both lower chamber and upper chamber were completely assembled on the RT‐CES analyser.
Real‐time analysis of intracellular [Ca2+]
After treatment with various concentrations of ZnO nanoparticles, real‐time measurement of intracellular [Ca2+] was performed using Fluo‐4 indicator (Invitrogen, Carlsbad, CA, USA). Briefly, 661W cells (1.0 × 104 per well) were seeded in a black‐walled 96‐well plate (Costar, Cambridge, MA, USA) at 37 °C in a water‐saturated 5% CO2 incubator overnight, then culture medium was replaced with 150 μl Fluo‐4/AM solution (Invitrogen) and incubated for 30 min in the presence of DMEM. After washing twice in DMEM, the concentrations (0, 2.5, 5.0 and 10.0 μg/ml) of ZnO nanoparticle solution were added to each well, and real‐time responses of intracellular [Ca2+] were recorded immediately at 37 °C using a Multiple Function Microplate Reader (EnSpire & Dispenser; PerkinElmer, Norwalk, CT, USA) with excitation wavelength of 495 nm and emission wavelength of 515 nm.
Measurement of intracellular ROS
Effects of ZnO nanoparticles on intracellular ROS levels were measured with 2′, 7′‐dichlorofluorescin diacetate (DCFH‐DA; Invitrogen) by flow cytometry (Accuri C6, Ann Arbor, MI, USA). Briefly, 661W cells (3 × 105 cells per well) were seeded in a 6‐well plate (final volume: 2 ml, NEST Biotechnology, Wuxi, China) and grown overnight; supernatant was then discarded and cells were supplemented with 0, 2.5, 5.0 and 10.0 μg/ml of ZnO nanoparticle solution. After incubation for 2 h, cells were washed in phosphate buffered saline (PBS, pH 7.4) twice, incubated in DCFH‐DA solution (10 μm) in constant darkness at 37 °C for 30 min, washed twice in PBS and measured by flow cytometry within 30 min. Specific fluorescence signals corresponding to DCFH‐DA were collected using a 525‐nm band pass filter. As a rule, 1.0 × 104 cells were analysed for each determination. Experiments were repeated three times and results are expressed as mean ± SD.
DAPI staining
To explore effects of ZnO nanoparticles on 661W cell nuclei, DAPI nuclear staining was performed after cells had been treated with the appropriate concentrations of ZnO nanoparticles, for 24 h. Briefly, 661W cells (6 × 104 cells per well) were seeded in a 6‐well plate (NEST Biotechnology) and grown overnight, then incubated with different concentrations (0, 2.5, 5.0 and 10.0 μg/ml) of ZnO nanoparticles (final volume: 2 ml) for 24 h. Cells were washed in PBS at indicated time points and fixed in 4% polymerisatum for 15 min. After fixation, cells were washed twice in PBS and subsequently stained with 1 μg/ml DAPI staining solution (Pierce Biotechnology, Rockford, IL, USA) for 30 min. Finally, all stained cells were examined using an inverted fluorescence microscope (Olympus IX71, Tokyo, Japan).
Analysis of cell cycle distribution
To investigate effects of ZnO nanoparticles on cell cycle distribution, cell cycle analysis was performed using flow cytometry. In brief, 661W cells (4 × 105 cells per well) were seeded in a 6‐well plate and cultured at 37 °C overnight, then treated with different concentrations (0, 2.5, 5.0 and 10.0 μg/ml respectively) of ZnO nanoparticles and cultured for an additional 24 h. After harvesting with 0.25% trypsin, all cells were washed twice in ice‐cold PBS, resuspended in ice‐cold 70% ethanol and kept at 4 °C overnight. Further, cells were washed twice in ice‐cold PBS and co‐incubated with 50 mg/l propidium iodide (PI) (Beyotime, Nantong, China) and RNase (60 μg/ml) in constant darkness at 37 °C for 40 min. Finally, cell cycle distribution of each sample was determined by flow cytometry (Accuri C6).
Gene expression analysis of TGF‐β and MMP‐9
To investigate alterations in TGF‐β and MMP‐9 mRNA, 661W cells were treated with the different concentrations (0, 2.5, 5.0 and 10 μg/ml) of ZnO nanoparticles and cultured in a CO2 incubator at 37 °C for 2 h. At the indicated time point, total RNA was isolated using TRIzol reagent (Invitrogen) according to the manufacturer's instructions, and was quantified using a K5600 spectrophotometer (Beijing Kaiao Technology Development Co., Ltd., Beijing, China) before reverse transcription using RevertAid reverse transcriptase kit (Fermentas, Burlington, ON, Canada). Real‐time quantitative PCR was performed using SYBR Green Master Mix (Aidlab, Beijing, China) and Stratagene Mx3000P sequence detection system (Agilent Technologies, Palo Alto, CA, USA). Primers were designed by Premier 5.0 software and were synthesized by Shanghai Sangon Biological Engineering Technology and Service Company (Shanghai, China). Primers for TGF‐β were 5′‐tgagtggctgtcttttgacg‐3′ (forward) and 5′‐tggggctgatcccgttgatt‐3′ (reverse). Primers for MMP‐9 were 5′‐ggatgtttttgatgctattgctg‐3′ (forward) and 5′‐acgtgcgggcagtaaggaag‐3′ (reverse), and primers for GAPDH were 5′‐gaccacagtccatgccatcact‐3′ (forward) and 5′‐tccaccaccctgttgctgtag‐3′ (reverse) respectively. The PCR program was set as follows: 95 °C for 5 min, followed by 45 cycles of a 95 °C denaturation for 20 s, 56 °C annealing for 20 s and 72 °C extension for 20 s. Each experiment was performed in triplicate and was repeated three times. ΔΔct values were calculated as fold change in expression over 661W cells in CM ± SEM after normalization to respective endogenous GAPDH control.
Determination of intracellular TGF‐β and MMP‐9 proteins
After treatment with the different concentrations of ZnO nanoparticles, amounts of intracellular TGF‐β and MMP‐9 protein in the cells were determined by ELISA. The murine TGF‐β ELISA kit was purchased from Dakewe Biotech Co. Ltd (Beijing, China) and murine MMP‐9 ELISA kit was purchased from Wuhan ColorfulGene Biological Technology Co., Ltd. (Wuhan, China) respectively. Briefly, 661W cells were seeded in a 6‐well plate at a density of 3 × 105 cells/well and grown overnight; medium was then discarded and replaced with different concentrations (0, 2.5, 5.0 and 10.0 μg/ml respectively) of ZnO nanoparticles (final volume: 2 ml). After exposing the cells to ZnO nanoparticles for 5 h, they were digested with 0.25% trypsin and were collected by centrifugation at 3000 g for 10 min. Subsequently, cell pellets were rinsed in cold PBS and centrifuged to collect the cells. Further, cells were resuspended in 0.5 ml of cold PBS and sonicated in an ice bath for 10 min. After centrifugation at 5000 g for 10 min, level of either TGF‐β or MMP‐9 protein from cell extract in 100 μl of supernatant was measured by ELISA, according to the manufacturer's instructions. All samples were measured in triplicate and repeated three times.
Statistical analysis
Every experiment was repeated three times and all results are presented as mean ± SD. For statistical analysis, Student's t‐test and ANOVA followed by Dunn's post hoc tests were performed. P value <0.05 was considered to be statistically significant.
Results
Characterization of ZnO nanoparticles
Average diameter of ZnO nanoparticles measured using transmission electron microscopy was in the order of 60 nm (Fig. 1a); histogram of ZnO nanoparticle size distribution is shown in Fig. 1b.
RT‐CES assay
Compared to traditional end‐point assays, the RT‐CES system has the benefit of non‐invasion, by recording values of impedance, which can continuously and quantitatively record dynamic processes of cytotoxic activity. Here, we used RT‐CES assay to assess effects of different concentrations of ZnO nanoparticles on 661W cell proliferation. As shown in Fig. 2a, 2.5 μg/ml ZnO nanoparticles produced a cytotoxic effect on 661W cells, that is, ZnO nanoparticles suppressed 661W cell proliferation. Meanwhile, we observed that with increase in ZnO nanoparticles there was a markedly inhibitory effect of them on the cells, which was dose‐dependent. Moreover, results of statistical analysis at 24, 48 and 72 h (Fig. 2b) were in agreement with determination of MTT assay (data not shown).
Cell migration analysis
The capacity of ZnO nanoparticles to inhibit cell migration was also investigated using the RT‐CES system. As shown in Fig. 3, the capacity of cell migration was reduced after treatment with ZnO nanoparticles compared to untreated cells (lower chamber containing DMEM with foetal bovine serum) (Fig. 3a), and was concentration‐dependent (Fig. 3b–d). However, capacity of migration was the poorest for cells treated with serum‐free DMEM in both upper and lower chambers (Fig. 3e).
Dynamic [Ca2+] determination
Dynamic measurement of [Ca2+] provides real‐time responses to various treatments to target cells. As shown in Fig. 4, kinetic fluorescence measurements of 661W cells indicated that after exposing them to elevated concentrations of ZnO nanoparticles, intracellular [Ca2+] was also higher, and was concentration‐dependent (Fig. 4b–d). However, intracellular [Ca2+] in 661W cells alone (cells cultured with DMEM only) remained at a constant stable level (Fig. 4a).
Measurement of intracellular ROS
After the cells were exposed to the various concentrations of ZnO nanoparticles for 2 h, intracellular ROS levels were elevationed (Fig. 5a–d). Intracellular ROS levels rose from 2.73 ± 0.59% to 12.07 ± 2.24%, 22.20 ± 2.69% and 30.63 ± 5.25% (Fig. 5e) respectively. These findings indicate that with incrementation in concentration of cells exposed to ZnO nanoparticles, intracellular ROS levels were also elevated, in a concentration‐dependent manner (Fig. 5e).
DAPI staining
To investigate effects of designated concentrations of ZnO nanoparticles on cell morphology, 661W cells were incubated with the different concentrations of ZnO nanoparticles for 24 h. By fluorescence microscopy we found that nuclei in untreated cells exhibited distinct boundaries and were homogeneous (Fig. 6a), whereas cells exposed to ZnO nanoparticles had apparently concentration‐dependent canonical apoptotic changes, including rippled or creased nuclei (Fig. 6b), nuclear condensation (Fig. 6c,d) and apoptotic body production (Fig. 6d). Also, we noted that ZnO nanoparticle‐induced cytotoxicity became progressively important with incremental ZnO nanoparticles.
Changes in cell cycle distribution
After treatment with designated concentrations of ZnO nanoparticles, alterations in cell cycle distribution were further explored to assess cytotoxic effects of ZnO nanoparticles on the 661W cells. Figure 7a illustrates that the majority of untreated cells were in the growth phase (G1) of cell population, wherein a wide range of enzymes (especially for DNA replication) are synthesized. However, after treatment with ZnO nanoparticles, ratio of G1 phase cells was reduced (Fig. 7b–d), and the ratio of sub‐G1 phase was apparently increased in a dose‐dependent manner (Fig. 7e). Meanwhile, G2/G1 ratio was also markedly higher for ZnO nanoparticle‐treated cells compared to untreated cells, which was significantly statistically different (Fig. 7f).
Alterations in TGF‐β and MMP‐9
Zinc oxide nanoparticle‐treatment reduced TGF‐β and MMP‐9 at both mRNA and protein levels in 661W cells. As shown in Fig. 8a, after treatment with the designated concentrations (2.5, 5.0 and 10.0 μg/ml) of ZnO nanoparticles, TGF‐β mRNA levels were reduced to 0.487 ± 0.162, 0.270 ± 0.209, 0.128 ± 0.056 respectively, and MMP‐9 mRNA levels were reduced to 0.820 ± 0.182, 0.513 ± 0.194, 0.377 ± 0.111 respectively. Regarding TGF‐β and MMP‐9 protein expression, we noted that levels of TGF‐β protein were reduced from 53.46 ± 6.46 pg/ml (untreated cells) to 44.25 ± 4.96, 27.93 ± 4.64, 13.98 ± 3.29 pg/ml respectively; meanwhile, levels of MMP‐9 protein were reduced from 92.37 ± 3.30 pg/ml to 82.43 ± 2.68, 75.04 ± 4.07, 64.48 ± 2.70 pg/ml respectively (Fig. 8b).
Discussion
Cell migration is an important factor in the process of precise regulation between cell adhesion and dissociation from extracellular matrix proteins 34. Accordingly, inhibiting migration leads to distinct functional impairment, including influencing wound healing capacity 35. Zhou et al. reported that ZnO nanoparticles impeded both cell migration and wound healing progress in both fibroblasts and epithelial cells 36. Also, proliferation and migration are confirmed as being important events involved in the process of photoreceptor cell death 37. In our study, we used different concentrations of ZnO nanoparticles to investigate effects on photoreceptor‐derived cell proliferation and migration, and found that exposure to ZnO nanoparticles reduced cell viability in a concentration‐dependent manner. Moreover, we also noted that pre‐treatment with ZnO nanoparticles for 1 h hardly affected cell viability (that is, there was little cytotoxicity). However, we found that pre‐treatment with ZnO nanoparticles efficiently retarded cell migration in a concentration‐dependent manner. Nevertheless, Suzuki et al. found that ZnO nanoparticles induce cell migration and adhesion of THP‐1 cells (human monocytic leukaemia cells) to HUVECs (human umbilical vein endothelial cells), and accelerate foam cell formation 38. Moreover, Akhtar found that ZnO nanoparticles exerted distinct effects on mammalian cell viability by killing human hepatocellular carcinoma HepG2, human lung adenocarcinoma A549 and human bronchial epithelial BEAS‐2B cancer cells, while exerting no influence on normal rat astrocytes and hepatocytes 39. Based on these findings, we infer that ZnO nanoparticle inhibition of cell proliferation and migration is mainly associated with the cell type.
On the one hand, it has been accepted that cell migration critically depends on calcium channel‐mediated Ca2+ influx, which alters intracellular calcium level and generates [Ca2+] gradients 32, 40, 41. On the other hand, mitochondria are a major intracellular source of free radicals, and high level of intracellular mitochondrial calcium can enhance free radical generation 42. Thus, elevated intracellular [Ca2+] will disrupt intracellular calcium homoeostasis, causing mitochondrial dysfunction and leading to oxidative stress. Oxidative stress mediates a number of physiological and pathological functions, including cell migration. It has been reported that elevation of intracellular ROS enhances vascular endothelial cell migration 10; meanwhile, ROS can also promote vascular smooth muscle cell proliferation and migration 43. For nanoparticles, due to their small size and large surface area, they are generally thought to induce ROS generation and cellular oxidative stress 44. In our study, we found that exposing photoreceptor cells to ZnO nanoparticles elevated intracellular [Ca2+], disrupted intracellular calcium homoeostasis, and thus caused mitochondrial dysfunction. As a consequence, mitochondrial dysfunction further generates excessive ROS within cells, causing oxidative stress, and finally influences cell migration. It has been reported that low ROS levels are necessary for maintaining normal cell processes, whereas high ROS levels exert deleterious effects on cell functions including cell migration 45, 46. In our study, we observed that elevated intracellular ROS inhibited rather than enhanced cell migration. The result that ZnO nanoparticles suppressed photoreceptor cell migration may be owing to the fact that overproduction of ROS impairs normal cell functions and thus inhibits cell migration when exposing photoreceptor cells to ZnO nanoparticles.
Cell cycle progression is partially controlled by balance between accumulation of ROS and the antioxidant system, and disturbance can lead to abnormal cell proliferation during cell division 47. In the present study, a high sub‐G1 cell population was found when exposing target cells to ZnO nanoparticles; this result was in agreement with that of exposing human liver cells to nickle nanoparticles 48. In the meantime, we also found that with elevation of ZnO nanoparticles exposure to cells, G2/G1 ratio was also increased, suggesting that alterations of G1, S and G2/M phases were also closely associated with cell proliferation, and were probably involved in the apoptotic pathway.
Both TGF‐β and MMP‐9 regulate cell growth in different ways 49, 50. The central function of TGF‐β is to inhibit cell cycle progression by regulating transcription of cell cycle regulators 19. Meanwhile, it also induces MMP‐9 expression and cell migration via a TGF‐ β type I receptor 9. In our study, we found that exposing murine photoreceptor‐derived cells to ZnO nanoparticles reduced expression of TGF‐β and MMP‐9 and subsequently reduced capacity of cell proliferation and migration. As a result, the reduced TGF‐β and MMP‐9 could not efficiently trigger cell proliferation‐ and migration‐related signalling pathways and thereby suppressed target cell proliferation and migration. Our results indicate the crucial roles of both TGF‐β and MMP‐9 in regulating cell proliferation and migration.
In conclusion, we have investigated effects of ZnO nanoparticles on murine photoreceptor‐derived cells. We found that ZnO nanoparticles efficiently inhibited cell proliferation and migration, induced overload of Ca2+ within cells and caused intracellular ROS overproduction, further disrupting normal cell cycle distribution. Moreover, ZnO nanoparticles also reduced TGF‐β and MMP‐9 expression at both mRNA and protein levels and further impaired cell proliferation and migration. Taken together, our results demonstrate that disruption of intracellular calcium homoeostasis and overproduction of ROS induced by ZnO nanoparticles were mainly responsible for suppressing TGF‐β and MMP‐9 expression in murine photoreceptor‐derived cells. Reduced TGF‐β and MMP‐9 levels played an important role in suppressing murine photoreceptor‐derived cell proliferation and migration in the presence of ZnO nanoparticles.
Conflict of interest
The authors declare that they have no competing interests.
Acknowledgements
This work was supported by the Development Project of Medicine and Health Science Technology of Shandong Province (2013WS0251), the Development Project of Science and Technology of Traditional Chinese Medicine of Shandong Province (2013ZDZK‐083), National Natural Science Foundation of China (no. 81201185) and Innovation Team Project of Ningbo (2011B82014).
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